Ecoer Logo

@olyagreen

27

Reinventing reviews on blockchain

steemit.com/@olyagreen
VOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS82.89%
Net Worth
0.044USD
STEEM
0.002STEEM
SBD
0.014SBD
Effective Power
5.007SP
├── Own SP
0.635SP
└── Incoming Deleg
+4.372SP

Detailed Balance

STEEM
balance
0.002STEEM
market_balance
0.000STEEM
savings_balance
0.000STEEM
reward_steem_balance
0.000STEEM
STEEM POWER
Own SP
0.635SP
Delegated Out
0.000SP
Delegation In
4.372SP
Effective Power
5.007SP
Reward SP (pending)
0.016SP
SBD
sbd_balance
0.000SBD
sbd_conversions
0.000SBD
sbd_market_balance
0.000SBD
savings_sbd_balance
0.000SBD
reward_sbd_balance
0.014SBD
{
  "balance": "0.002 STEEM",
  "savings_balance": "0.000 STEEM",
  "reward_steem_balance": "0.000 STEEM",
  "vesting_shares": "1032.456804 VESTS",
  "delegated_vesting_shares": "0.000000 VESTS",
  "received_vesting_shares": "7111.203002 VESTS",
  "sbd_balance": "0.000 SBD",
  "savings_sbd_balance": "0.000 SBD",
  "reward_sbd_balance": "0.014 SBD",
  "conversions": []
}

Account Info

nameolyagreen
id300165
rank943,127
reputation1596643638
created2017-08-05T17:31:15
recovery_accountsteem
proxyNone
post_count75
comment_count0
lifetime_vote_count0
witnesses_voted_for0
last_post2018-04-24T08:56:57
last_root_post2018-04-24T08:56:57
last_vote_time1970-01-01T00:00:00
proxied_vsf_votes0, 0, 0, 0
can_vote1
voting_power0
delayed_votes0
balance0.002 STEEM
savings_balance0.000 STEEM
sbd_balance0.000 SBD
savings_sbd_balance0.000 SBD
vesting_shares1032.456804 VESTS
delegated_vesting_shares0.000000 VESTS
received_vesting_shares7111.203002 VESTS
reward_vesting_balance32.872739 VESTS
vesting_balance0.000 STEEM
vesting_withdraw_rate0.000000 VESTS
next_vesting_withdrawal1969-12-31T23:59:59
withdrawn0
to_withdraw0
withdraw_routes0
savings_withdraw_requests0
last_account_recovery1970-01-01T00:00:00
reset_accountnull
last_owner_update1970-01-01T00:00:00
last_account_update2017-11-04T10:00:42
minedNo
sbd_seconds0
sbd_last_interest_payment1970-01-01T00:00:00
savings_sbd_last_interest_payment1970-01-01T00:00:00
{
  "active": {
    "account_auths": [],
    "key_auths": [
      [
        "STM7EgYY46hBpFLrDm3yFuEpknfWt3QG6huuWg1gknpzjmv879V1K",
        1
      ]
    ],
    "weight_threshold": 1
  },
  "balance": "0.002 STEEM",
  "can_vote": true,
  "comment_count": 0,
  "created": "2017-08-05T17:31:15",
  "curation_rewards": 0,
  "delegated_vesting_shares": "0.000000 VESTS",
  "downvote_manabar": {
    "current_mana": 2035914951,
    "last_update_time": 1779079452
  },
  "guest_bloggers": [],
  "id": 300165,
  "json_metadata": "{\"profile\":{\"profile_image\":\"https://www.facebook.com/photo.php?fbid=1648635568503344&set=a.145692378797678.19822.100000707495985&type=3&theater\",\"name\":\"REVAIN\",\"location\":\"Los Angeles CA\",\"website\":\"https://revain.org/#\",\"about\":\"Reinventing reviews on blockchain\",\"cover_image\":\"https://cdn-images-1.medium.com/max/1600/1*v0IkNQg33s4HUBTCBQ8eCw.jpeg\"}}",
  "last_account_recovery": "1970-01-01T00:00:00",
  "last_account_update": "2017-11-04T10:00:42",
  "last_owner_update": "1970-01-01T00:00:00",
  "last_post": "2018-04-24T08:56:57",
  "last_root_post": "2018-04-24T08:56:57",
  "last_vote_time": "1970-01-01T00:00:00",
  "lifetime_vote_count": 0,
  "market_history": [],
  "memo_key": "STM7WMwPFa5W8WU7SqAEc51QR4q1RV8oAzA5SkXpB89oUBgjsEPLb",
  "mined": false,
  "name": "olyagreen",
  "next_vesting_withdrawal": "1969-12-31T23:59:59",
  "other_history": [],
  "owner": {
    "account_auths": [],
    "key_auths": [
      [
        "STM5NNMfUveydJV3cLV18M1h7zVaopC8HFxTwKYNFx5ucKgihpEAH",
        1
      ]
    ],
    "weight_threshold": 1
  },
  "pending_claimed_accounts": 0,
  "post_bandwidth": 0,
  "post_count": 75,
  "post_history": [],
  "posting": {
    "account_auths": [],
    "key_auths": [
      [
        "STM7geW86bkhYi5VUCx1dNQutSSHQD71gTREtA2BtKES66N8RYLoM",
        1
      ]
    ],
    "weight_threshold": 1
  },
  "posting_json_metadata": "{\"profile\":{\"profile_image\":\"https://www.facebook.com/photo.php?fbid=1648635568503344&set=a.145692378797678.19822.100000707495985&type=3&theater\",\"name\":\"REVAIN\",\"location\":\"Los Angeles CA\",\"website\":\"https://revain.org/#\",\"about\":\"Reinventing reviews on blockchain\",\"cover_image\":\"https://cdn-images-1.medium.com/max/1600/1*v0IkNQg33s4HUBTCBQ8eCw.jpeg\"}}",
  "posting_rewards": 32,
  "proxied_vsf_votes": [
    0,
    0,
    0,
    0
  ],
  "proxy": "",
  "received_vesting_shares": "7111.203002 VESTS",
  "recovery_account": "steem",
  "reputation": 1596643638,
  "reset_account": "null",
  "reward_sbd_balance": "0.014 SBD",
  "reward_steem_balance": "0.000 STEEM",
  "reward_vesting_balance": "32.872739 VESTS",
  "reward_vesting_steem": "0.016 STEEM",
  "savings_balance": "0.000 STEEM",
  "savings_sbd_balance": "0.000 SBD",
  "savings_sbd_last_interest_payment": "1970-01-01T00:00:00",
  "savings_sbd_seconds": "0",
  "savings_sbd_seconds_last_update": "1970-01-01T00:00:00",
  "savings_withdraw_requests": 0,
  "sbd_balance": "0.000 SBD",
  "sbd_last_interest_payment": "1970-01-01T00:00:00",
  "sbd_seconds": "0",
  "sbd_seconds_last_update": "1970-01-01T00:00:00",
  "tags_usage": [],
  "to_withdraw": 0,
  "transfer_history": [],
  "vesting_balance": "0.000 STEEM",
  "vesting_shares": "1032.456804 VESTS",
  "vesting_withdraw_rate": "0.000000 VESTS",
  "vote_history": [],
  "voting_manabar": {
    "current_mana": "8143659806",
    "last_update_time": 1779079452
  },
  "voting_power": 0,
  "withdraw_routes": 0,
  "withdrawn": 0,
  "witness_votes": [],
  "witnesses_voted_for": 0,
  "rank": 943127
}

Withdraw Routes

IncomingOutgoing
Empty
Empty
{
  "incoming": [],
  "outgoing": []
}
From Date
To Date
steemdelegated 4.372 SP to @olyagreen
2026/05/18 04:44:12
delegateeolyagreen
delegatorsteem
vesting shares7111.203002 VESTS
Transaction InfoBlock #106148803/Trx 688d5753ae2062f68372741a521c03f52eba56fd
View Raw JSON Data
{
  "block": 106148803,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "7111.203002 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2026-05-18T04:44:12",
  "trx_id": "688d5753ae2062f68372741a521c03f52eba56fd",
  "trx_in_block": 4,
  "virtual_op": 0
}
steemdelegated 2.704 SP to @olyagreen
2026/05/12 22:01:18
delegateeolyagreen
delegatorsteem
vesting shares4398.992597 VESTS
Transaction InfoBlock #105997479/Trx b489b22e90909902f4686d1ac32a6494d5cfd109
View Raw JSON Data
{
  "block": 105997479,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "4398.992597 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2026-05-12T22:01:18",
  "trx_id": "b489b22e90909902f4686d1ac32a6494d5cfd109",
  "trx_in_block": 1,
  "virtual_op": 0
}
steemdelegated 4.380 SP to @olyagreen
2026/04/26 03:58:15
delegateeolyagreen
delegatorsteem
vesting shares7123.718758 VESTS
Transaction InfoBlock #105516330/Trx 9601aa90bf9f75c300b0bfb2ab527ba6eed99bb0
View Raw JSON Data
{
  "block": 105516330,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "7123.718758 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2026-04-26T03:58:15",
  "trx_id": "9601aa90bf9f75c300b0bfb2ab527ba6eed99bb0",
  "trx_in_block": 0,
  "virtual_op": 0
}
steemdelegated 2.730 SP to @olyagreen
2026/01/23 19:50:39
delegateeolyagreen
delegatorsteem
vesting shares4440.539416 VESTS
Transaction InfoBlock #102866238/Trx 62a1434aff1650d4d195b841a5f2625c6f03ab54
View Raw JSON Data
{
  "block": 102866238,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "4440.539416 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2026-01-23T19:50:39",
  "trx_id": "62a1434aff1650d4d195b841a5f2625c6f03ab54",
  "trx_in_block": 0,
  "virtual_op": 0
}
steemdelegated 2.831 SP to @olyagreen
2024/12/17 15:02:15
delegateeolyagreen
delegatorsteem
vesting shares4604.758613 VESTS
Transaction InfoBlock #91312484/Trx 85a19ea9f96938e9eb3e8778d64a40a9ff1692f4
View Raw JSON Data
{
  "block": 91312484,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "4604.758613 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2024-12-17T15:02:15",
  "trx_id": "85a19ea9f96938e9eb3e8778d64a40a9ff1692f4",
  "trx_in_block": 0,
  "virtual_op": 0
}
steemdelegated 2.935 SP to @olyagreen
2023/11/14 06:43:09
delegateeolyagreen
delegatorsteem
vesting shares4773.892145 VESTS
Transaction InfoBlock #79866635/Trx d65eb9585c3e4842a64736ed8c918c705c18af07
View Raw JSON Data
{
  "block": 79866635,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "4773.892145 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2023-11-14T06:43:09",
  "trx_id": "d65eb9585c3e4842a64736ed8c918c705c18af07",
  "trx_in_block": 3,
  "virtual_op": 0
}
steemdelegated 4.741 SP to @olyagreen
2023/09/22 08:32:51
delegateeolyagreen
delegatorsteem
vesting shares7710.800931 VESTS
Transaction InfoBlock #78360661/Trx 7aa538484dd0080076f06eebad9b39aa422c127a
View Raw JSON Data
{
  "block": 78360661,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "7710.800931 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2023-09-22T08:32:51",
  "trx_id": "7aa538484dd0080076f06eebad9b39aa422c127a",
  "trx_in_block": 4,
  "virtual_op": 0
}
steemdelegated 4.877 SP to @olyagreen
2022/11/03 16:15:15
delegateeolyagreen
delegatorsteem
vesting shares7932.852369 VESTS
Transaction InfoBlock #69118697/Trx 7a9bbdfe53cc9422464c8e8a316e4b855329f830
View Raw JSON Data
{
  "block": 69118697,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "7932.852369 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2022-11-03T16:15:15",
  "trx_id": "7a9bbdfe53cc9422464c8e8a316e4b855329f830",
  "trx_in_block": 7,
  "virtual_op": 0
}
steemdelegated 5.012 SP to @olyagreen
2022/01/17 21:36:15
delegateeolyagreen
delegatorsteem
vesting shares8152.959970 VESTS
Transaction InfoBlock #60822124/Trx 6b3f418ec48c1a7f2f1c4177bcb6601ff2e02395
View Raw JSON Data
{
  "block": 60822124,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "8152.959970 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2022-01-17T21:36:15",
  "trx_id": "6b3f418ec48c1a7f2f1c4177bcb6601ff2e02395",
  "trx_in_block": 25,
  "virtual_op": 0
}
steemdelegated 5.126 SP to @olyagreen
2021/06/14 04:51:12
delegateeolyagreen
delegatorsteem
vesting shares8337.154258 VESTS
Transaction InfoBlock #54612535/Trx 9659f129e80d7d7f71d4e7b52b623490304b3933
View Raw JSON Data
{
  "block": 54612535,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "8337.154258 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2021-06-14T04:51:12",
  "trx_id": "9659f129e80d7d7f71d4e7b52b623490304b3933",
  "trx_in_block": 6,
  "virtual_op": 0
}
2021/01/10 05:24:03
authorbrustel
body
json metadata{"app": "beem/0.23.9"}
parent authorolyagreen
parent permlinkrevain-crowdsale-instructions
permlinkre-revain-crowdsale-instructions-20210110t052403z
title
Transaction InfoBlock #50201115/Trx d3cf6f98b560eff7a497257cfe646260670e7bb6
View Raw JSON Data
{
  "block": 50201115,
  "op": [
    "comment",
    {
      "author": "brustel",
      "body": " ",
      "json_metadata": "{\"app\": \"beem/0.23.9\"}",
      "parent_author": "olyagreen",
      "parent_permlink": "revain-crowdsale-instructions",
      "permlink": "re-revain-crowdsale-instructions-20210110t052403z",
      "title": ""
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2021-01-10T05:24:03",
  "trx_id": "d3cf6f98b560eff7a497257cfe646260670e7bb6",
  "trx_in_block": 2,
  "virtual_op": 0
}
steemdelegated 5.241 SP to @olyagreen
2020/12/11 15:04:57
delegateeolyagreen
delegatorsteem
vesting shares8524.576232 VESTS
Transaction InfoBlock #49359845/Trx 1b22813217fc65948e4bd9b06f145305844ed7d3
View Raw JSON Data
{
  "block": 49359845,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "8524.576232 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-12-11T15:04:57",
  "trx_id": "1b22813217fc65948e4bd9b06f145305844ed7d3",
  "trx_in_block": 1,
  "virtual_op": 0
}
steemdelegated 1.176 SP to @olyagreen
2020/12/06 08:41:12
delegateeolyagreen
delegatorsteem
vesting shares1912.543513 VESTS
Transaction InfoBlock #49211382/Trx 05d641c203c8651af605ff3ee8345a23c78f6c2d
View Raw JSON Data
{
  "block": 49211382,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "1912.543513 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-12-06T08:41:12",
  "trx_id": "05d641c203c8651af605ff3ee8345a23c78f6c2d",
  "trx_in_block": 1,
  "virtual_op": 0
}
steemdelegated 5.245 SP to @olyagreen
2020/12/05 18:42:39
delegateeolyagreen
delegatorsteem
vesting shares8530.784086 VESTS
Transaction InfoBlock #49194925/Trx d19362fe8053418ec4bc142ed4c93b085d518e19
View Raw JSON Data
{
  "block": 49194925,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "8530.784086 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-12-05T18:42:39",
  "trx_id": "d19362fe8053418ec4bc142ed4c93b085d518e19",
  "trx_in_block": 4,
  "virtual_op": 0
}
steemdelegated 1.180 SP to @olyagreen
2020/11/02 23:51:21
delegateeolyagreen
delegatorsteem
vesting shares1920.017158 VESTS
Transaction InfoBlock #48267477/Trx c537ee0100b6e59019a389b42eb723c341c8e9dc
View Raw JSON Data
{
  "block": 48267477,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "1920.017158 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-11-02T23:51:21",
  "trx_id": "c537ee0100b6e59019a389b42eb723c341c8e9dc",
  "trx_in_block": 1,
  "virtual_op": 0
}
steemdelegated 5.369 SP to @olyagreen
2020/05/09 09:42:30
delegateeolyagreen
delegatorsteem
vesting shares8733.589445 VESTS
Transaction InfoBlock #43221683/Trx b483ba703a81c92438a982b5cbda4aa268bb5a85
View Raw JSON Data
{
  "block": 43221683,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "8733.589445 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-05-09T09:42:30",
  "trx_id": "b483ba703a81c92438a982b5cbda4aa268bb5a85",
  "trx_in_block": 1,
  "virtual_op": 0
}
steemdelegated 1.201 SP to @olyagreen
2020/05/08 13:54:30
delegateeolyagreen
delegatorsteem
vesting shares1953.311140 VESTS
Transaction InfoBlock #43198484/Trx 542263f5655b08de9733f5b77bc67ef2498be84c
View Raw JSON Data
{
  "block": 43198484,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "olyagreen",
      "delegator": "steem",
      "vesting_shares": "1953.311140 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-05-08T13:54:30",
  "trx_id": "542263f5655b08de9733f5b77bc67ef2498be84c",
  "trx_in_block": 7,
  "virtual_op": 0
}
2019/08/05 18:11:03
authorsteemitboard
bodyCongratulations @olyagreen! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@olyagreen/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table> <sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@olyagreen) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=olyagreen)_</sub> ###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!
json metadata{"image":["https://steemitboard.com/img/notify.png"]}
parent authorolyagreen
parent permlinkchasing-blockchain-what-are-the-odds
permlinksteemitboard-notify-olyagreen-20190805t181102000z
title
Transaction InfoBlock #35293962/Trx a9a4c7b5d8f1c3771cd634dc4f19908258c23d35
View Raw JSON Data
{
  "block": 35293962,
  "op": [
    "comment",
    {
      "author": "steemitboard",
      "body": "Congratulations @olyagreen! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@olyagreen/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@olyagreen) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=olyagreen)_</sub>\n\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
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2018/08/26 19:11:27
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2018/04/24 17:32:09
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2018/04/24 17:16:00
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2018/04/24 09:56:24
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2018/04/24 08:57:18
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2018/04/24 08:56:57
authorolyagreen
bodyBlockchain technology today is clearly looked upon as the silver bullet to each and every industry. But is that really so? Well, it definitely has a wide array of use cases, yet it shouldn’t be speculated merely for the sake of making XXX-profits at sneaky ICOs or for the jump in stock price by means of adding the word ‘blockchain’ or ‘crypto’ to the company’s name. No doubt some investors and media can be misled by mentioning bitcoin or blockchain. Those more savvy would probably be questioning the necessity for implementing the distributed ledger on this specific platform in the first place. If we are to examine the real benefit blockchain technology is carrying it is surely traceability, cost-effectiveness, immunatability, eliminating human error and speeding up transactions and agreement relations between the parties by means of smart contracts. Hence, the industries that benefit from leveraging blockchain are those that need all of that. Take for instance state bodies and governments: the service is mostly bad and at high cost and everything is dependent on government officials. In view of recent data privacy concerns and notorious cases of private user data breaches, it looks like putting Facebook or Twitter on blockchain seems to be the most logical leap. And it’s probably about to happen in a matter of months: Telegram — an encrypted messaging service is setting a new ICO-cap record by raising $1.2 billion as we speak! As Tim Draper (the person who was one of the first to invest in Google and Amazon) fairly notes blockchain’s biggest power is the capability of safeguarding user personal data, which leads to a number of other use cases for all those industries that need accurate and secure data to run smoothly: healthcare, e-commerce, insurance, etc. And we don’t need to go far to see examples where world top-tier corporations are leveraging blockchain to enhance their operation. Bank of America has just received the patent for blockchain-based storage system. It addresses the issue of data transferring and tracking, and describes a system with automated data authentication and secured access of data. All the big names in IT and telecom are actively implementing distributed ledger for data protection and securing transactions too: Amazon also filed for the patent for streaming data marketplace that would enable users to receive real-time cryptocurrency transactions data. This development is seeking to assists corporations in managing big data by processing streaming data on a large scale with relatively low latency. Google is also in the loop: last week it announced two blockchain projects it’s working on: a “tamper-proof” auditing system and a cloud operations platform. Another telecom giant Cisco is now working on confidential communication system based on blockchain to ensure confidential and secure group messaging, file sharing, and tracking of membership history. Healthcare is one of those industries where once applied blockchain has the greatest potential to serve for the good of humanity on a global scale. And it’s developing quite rapidly: a company based in Germany has just developed a Blockchain-based solution for the management of sensitive medical data, United Health Group — a big industry player in America — has also made its entry into blockchain. What all of those startups are doing is basically improving security and effective distribution of information among involved parties, providing for integrity of medical records and speeding up insurance claim payments. Turning to fintech, recent cases count Mastercard’s patent for a Blockchain system to store and verify identity data: “Marsh sees great opportunity in leveraging Blockchain technology to better serve our clients by maximizing efficiency and creating new opportunities in the insurance value chain”. Of all those use cases, the most global in terms of its potential to shift the whole economy system is probably blockchain’s implementation into supply chain system. And it well looks like e-commerce use cases are in a way stemming out of there. Making online payments easier and more secure is only the top of the iceberg. The whole idea of applying blockchain to supply chain is coming from its power to tokenize assets. Why tokenize? Well, economic reality now is that there is a large gap between the amount of money available and the number of valuable assets. And tokenization would allow any business to place their existing assets like real estate and inventory on blockchain, i.e. in a virtual space. This week’s headlines featured the news of Salesforce working on a blockchain product. Salesforce is delivering a CRM product and sells commercial applications of social networking through acquisition and internal development. Speaking of traceability and immutability, one of the fields in bad need of disruption is definitely online opinions and scoring. Its importance for the global economy and business growth cannot be overestimated. Yelp is not working any more and brings zero value with fake paid reviews flooding around. Blockchain might fix that by eliminating the possibility to alter or delete a review. And this is hugely important: if a reviewer knows that his opinion is to stay online forever and all the alterations can be traced — he would probably take more responsibility in expressing it. Add an incentivized awards model and there is a perfect solution to tackle the issue. One of recent examples here is a Moscow-based startup Revain that is ultimately seeks to create a win-win situation for consumers and businesses companies alike. By building the platform that helps companies to get genuine reviews and develop their businesses accordingly, it is poised to bring blockchain to the masses and fuel the growth of the global sharing economy. However, sometimes blockchain use cases that first looked ridiculous in terms of the necessity to be put on smart contracts, now appear to be making more sense at a closer look. Take ‘Cryptokitties’ for instance. Is it just about buying pretty kitties and choosing fancy accessories for them? Or an attempt to create a virtual universe with virtual goods to be able to capitalize on? If you are a gaming and VR fan, you totally see what I mean. I’m a strong advocate for the distributed ledger. But as with any emerging technology, the adoption time naturally varies greatly from one industry to another: a conscious team leader or CEO would not be pushing for ‘putting the business on blockchain when realistically there’s absolutely no grounds for that. At the same time tech-community and crypto-economics researchers should make every effort to raise public awareness of how blockchain operates and in what ways it may benefit the businesses. Ultimately, like any new fundamental technology shift, the distributed ledger has great potential to reimagine the way global economy works contributing to the development of sharing economy or even paving the way for some sort of new economy model — let’s see what happens in the next 10 years. ![1_iWlQMOEeshQ-lk38if65NQ.jpeg](https://steemitimages.com/DQmcow6Yxu6eW61A7dEawRae8oC62WhbZzcaN4jPppdGD2N/1_iWlQMOEeshQ-lk38if65NQ.jpeg)
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Take for instance state bodies and governments: the service is mostly bad and at high cost and everything is dependent on government officials. In view of recent data privacy concerns and notorious cases of private user data breaches, it looks like putting Facebook or Twitter on blockchain seems to be the most logical leap. And it’s probably about to happen in a matter of months: Telegram — an encrypted messaging service is setting a new ICO-cap record by raising $1.2 billion as we speak! As Tim Draper (the person who was one of the first to invest in Google and Amazon) fairly notes blockchain’s biggest power is the capability of safeguarding user personal data, which leads to a number of other use cases for all those industries that need accurate and secure data to run smoothly: healthcare, e-commerce, insurance, etc.\n\nAnd we don’t need to go far to see examples where world top-tier corporations are leveraging blockchain to enhance their operation. Bank of America has just received the patent for blockchain-based storage system. It addresses the issue of data transferring and tracking, and describes a system with automated data authentication and secured access of data. All the big names in IT and telecom are actively implementing distributed ledger for data protection and securing transactions too: Amazon also filed for the patent for streaming data marketplace that would enable users to receive real-time cryptocurrency transactions data. This development is seeking to assists corporations in managing big data by processing streaming data on a large scale with relatively low latency. Google is also in the loop: last week it announced two blockchain projects it’s working on: a “tamper-proof” auditing system and a cloud operations platform. Another telecom giant Cisco is now working on confidential communication system based on blockchain to ensure confidential and secure group messaging, file sharing, and tracking of membership history.\n\nHealthcare is one of those industries where once applied blockchain has the greatest potential to serve for the good of humanity on a global scale. And it’s developing quite rapidly: a company based in Germany has just developed a Blockchain-based solution for the management of sensitive medical data, United Health Group — a big industry player in America — has also made its entry into blockchain. What all of those startups are doing is basically improving security and effective distribution of information among involved parties, providing for integrity of medical records and speeding up insurance claim payments.\n\nTurning to fintech, recent cases count Mastercard’s patent for a Blockchain system to store and verify identity data: “Marsh sees great opportunity in leveraging Blockchain technology to better serve our clients by maximizing efficiency and creating new opportunities in the insurance value chain”.\n\nOf all those use cases, the most global in terms of its potential to shift the whole economy system is probably blockchain’s implementation into supply chain system. And it well looks like e-commerce use cases are in a way stemming out of there. Making online payments easier and more secure is only the top of the iceberg. The whole idea of applying blockchain to supply chain is coming from its power to tokenize assets. Why tokenize? Well, economic reality now is that there is a large gap between the amount of money available and the number of valuable assets. And tokenization would allow any business to place their existing assets like real estate and inventory on blockchain, i.e. in a virtual space. This week’s headlines featured the news of Salesforce working on a blockchain product. Salesforce is delivering a CRM product and sells commercial applications of social networking through acquisition and internal development.\n\nSpeaking of traceability and immutability, one of the fields in bad need of disruption is definitely online opinions and scoring. Its importance for the global economy and business growth cannot be overestimated. Yelp is not working any more and brings zero value with fake paid reviews flooding around. Blockchain might fix that by eliminating the possibility to alter or delete a review. And this is hugely important: if a reviewer knows that his opinion is to stay online forever and all the alterations can be traced — he would probably take more responsibility in expressing it. Add an incentivized awards model and there is a perfect solution to tackle the issue. One of recent examples here is a Moscow-based startup Revain that is ultimately seeks to create a win-win situation for consumers and businesses companies alike. By building the platform that helps companies to get genuine reviews and develop their businesses accordingly, it is poised to bring blockchain to the masses and fuel the growth of the global sharing economy.\n\nHowever, sometimes blockchain use cases that first looked ridiculous in terms of the necessity to be put on smart contracts, now appear to be making more sense at a closer look. Take ‘Cryptokitties’ for instance. Is it just about buying pretty kitties and choosing fancy accessories for them? 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2018/04/24 08:51:09
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2018/04/24 08:51:00
authorolyagreen
bodyAlong with recent notorious data security breaches AI today is probably the most controversial, yet most cherished subject in tech: it is looked upon as either blessing by the likes of Mark Zuckerberg, or being cursed and questioned by Elon Musk and Steven Hawking. Interestingly, those who are raising those concerns, are not really feared about robots taking over and massacring the humanity in ‘Terminator 2: Judgement Day’ best tradition. What the AI-opponents are really worried about lies a bit deeper down: raising awareness of responsible deployment of AI in the era of machine learning algorithms and software becoming mass available. Securing unbiased AI that is not affected by human prejudice about race or gender has long been discussed by researchers. But is there any solid grounding for this fuss in the first place? AI is trained with big data that human developers put into it. Simply, if artificial intelligence is trained with biased data, it is doomed to make biased decisions. For example, deploying AI-search algorithm in an online recruitment search service recently showed that it put male candidates higher than female one in the search results! Another instance is one of those chat-bots that are created by dozens for a number of purposes, like ‘Tay’ — originally created for innocent chit-chats, it became a racist — if not fascist — monster sprawling out offensive comments in less than 24 hours! Remember, AI is learning from whatever we, humans, throw down to it. And it is learning very fast. With this kind of software powered by machine learning algorithms becoming increasingly accessible, there’s a growing risk of biased AI pertaining into mainstream software, thus promoting discrimination. Google, for instance, has already rolled out an open-source machine-learning software library now free for anyone to use. Turns out, the so-called algorithmic bias with AI manifesting exact same biases as humans, might be becoming more prominent in everyday decisions that humans make. Is there any way to somehow fight this algorithmic bias? Well, it’s a logical leap to suggest that since AI is fed with data, altering the data itself might be of help. Huge amount of data is needed to train one AI-algorithm. But where do developers turn to for this filtered unbiased data? Is it for free and who really owns it? Facebook data privacy scandal and subsequent refusal to comply with EU Data Protection Directive worldwide only confirms the fact that a tech-giant hold on to the right to dispose of users’ data at its own discretion. Isn’t it also because they are not only monetizing on data, but need it desperately to maintain the development of their AI? Data today is new oil really: tech-giants are not giving it away despite raising concerns and calls for giving users their personal data back among tech-community. But is it even possible to gather unbiased data to train unbiased AI in the first place? Introducing AI to platforms and services the very essence of which is providing authentic and unprejudiced opinion is to face even more challenges. The whole point of deploying AI on opinion-driven markets is its capability to identify and exclude biased opinions. We’re having some sort of a catch-22 situation here: technology created to overcome the bias, is running the risk of becoming biased itself. Speaking of online reviews market and scoring industry, review platforms like yelp.com have long been a place to share valued opinions being a driving force for businesses to gather customer feedback. But as we all know those platforms over time started to lose credibility, since they had a bunch of common issues. Geared up with AI to fight bias and lies new generation of scoring platforms are emerging. But what if AI itself is becoming biased? Where do we get enough data to train AI adequate analysis of opinion’s authenticity? Should developers use existing Yelp-generated reviews bankl? In cases where AI is working with vast amounts existing data in the endless sea of online information, countering bias becomes much more difficult. It looks like those aspiring to come up with an AI filtering mechanism, first need to accumulate their own ‘quality’ data pack. Product owners and designers should be very aware of those risks when deploying AI to any type of systems. It is the duty of machine learning engineers to come up with safer developer tools suggesting a better way to design algorithms that don’t discriminate on gender, race, and other attributes. All of these concerns are specifically applied to the industries depending on AI as their last resort of authenticity. There are some startups pioneering online reviews market that are taking a more conscious approach towards AI. Developers at Revain claim that they are not relying on Google and Yelp data to train their IBM Watson AI. Instead, they are seeking to gather as much data as possible out of reviews that users write on a newly launched v0.6 of Revain dashboard. For now, AI has been integrated into the platform’s architecture, yet it is not interfering with core platform functions. A larger amount of reviews is needed to ‘feed’ the AI to further analyze the end result and compare it with a human unbiased opinion. Upon doing so, the AI opinion is edited by a human and again the data is put back to AI algorithm. Ultimately, the authenticity is achieved by the operation method where reviews fragments are processed both by machines and manually and then are saved to blockchain. Adopting high level of responsibility when creating AI and setting building an unbiased AI as an ultimate goal is absolutely essential not only to researchers, but also to those who are in fact bringing those algorithms to mass market — business leaders and media influencers. Algorithmic bias can not only lead to the spread of human biases, but the amplification of it! Sadly, most of humans are not yet aware of software bias and tend to blindly trust AI judgement.![1_M_9ikrwkL0QjQjj9N92Mfg.jpeg](https://steemitimages.com/DQmbVdgBCg8dNSaC2q6JqWZHBbH76eQK18De2ui6xJ8KFQR/1_M_9ikrwkL0QjQjj9N92Mfg.jpeg)
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      "body": "Along with recent notorious data security breaches AI today is probably the most controversial, yet most cherished subject in tech: it is looked upon as either blessing by the likes of Mark Zuckerberg, or being cursed and questioned by Elon Musk and Steven Hawking. Interestingly, those who are raising those concerns, are not really feared about robots taking over and massacring the humanity in ‘Terminator 2: Judgement Day’ best tradition. What the AI-opponents are really worried about lies a bit deeper down: raising awareness of responsible deployment of AI in the era of machine learning algorithms and software becoming mass available. Securing unbiased AI that is not affected by human prejudice about race or gender has long been discussed by researchers. But is there any solid grounding for this fuss in the first place?\n\nAI is trained with big data that human developers put into it. Simply, if artificial intelligence is trained with biased data, it is doomed to make biased decisions. For example, deploying AI-search algorithm in an online recruitment search service recently showed that it put male candidates higher than female one in the search results! Another instance is one of those chat-bots that are created by dozens for a number of purposes, like ‘Tay’ — originally created for innocent chit-chats, it became a racist — if not fascist — monster sprawling out offensive comments in less than 24 hours! Remember, AI is learning from whatever we, humans, throw down to it. And it is learning very fast. With this kind of software powered by machine learning algorithms becoming increasingly accessible, there’s a growing risk of biased AI pertaining into mainstream software, thus promoting discrimination. Google, for instance, has already rolled out an open-source machine-learning software library now free for anyone to use. Turns out, the so-called algorithmic bias with AI manifesting exact same biases as humans, might be becoming more prominent in everyday decisions that humans make.\n\nIs there any way to somehow fight this algorithmic bias? Well, it’s a logical leap to suggest that since AI is fed with data, altering the data itself might be of help. Huge amount of data is needed to train one AI-algorithm. But where do developers turn to for this filtered unbiased data? Is it for free and who really owns it? Facebook data privacy scandal and subsequent refusal to comply with EU Data Protection Directive worldwide only confirms the fact that a tech-giant hold on to the right to dispose of users’ data at its own discretion. Isn’t it also because they are not only monetizing on data, but need it desperately to maintain the development of their AI? Data today is new oil really: tech-giants are not giving it away despite raising concerns and calls for giving users their personal data back among tech-community. But is it even possible to gather unbiased data to train unbiased AI in the first place?\n\nIntroducing AI to platforms and services the very essence of which is providing authentic and unprejudiced opinion is to face even more challenges. The whole point of deploying AI on opinion-driven markets is its capability to identify and exclude biased opinions. We’re having some sort of a catch-22 situation here: technology created to overcome the bias, is running the risk of becoming biased itself. Speaking of online reviews market and scoring industry, review platforms like yelp.com have long been a place to share valued opinions being a driving force for businesses to gather customer feedback. But as we all know those platforms over time started to lose credibility, since they had a bunch of common issues. Geared up with AI to fight bias and lies new generation of scoring platforms are emerging. But what if AI itself is becoming biased? Where do we get enough data to train AI adequate analysis of opinion’s authenticity? Should developers use existing Yelp-generated reviews bankl? In cases where AI is working with vast amounts existing data in the endless sea of online information, countering bias becomes much more difficult. It looks like those aspiring to come up with an AI filtering mechanism, first need to accumulate their own ‘quality’ data pack. Product owners and designers should be very aware of those risks when deploying AI to any type of systems. It is the duty of machine learning engineers to come up with safer developer tools suggesting a better way to design algorithms that don’t discriminate on gender, race, and other attributes. All of these concerns are specifically applied to the industries depending on AI as their last resort of authenticity.\n\nThere are some startups pioneering online reviews market that are taking a more conscious approach towards AI. Developers at Revain claim that they are not relying on Google and Yelp data to train their IBM Watson AI. Instead, they are seeking to gather as much data as possible out of reviews that users write on a newly launched v0.6 of Revain dashboard. For now, AI has been integrated into the platform’s architecture, yet it is not interfering with core platform functions. A larger amount of reviews is needed to ‘feed’ the AI to further analyze the end result and compare it with a human unbiased opinion. Upon doing so, the AI opinion is edited by a human and again the data is put back to AI algorithm. Ultimately, the authenticity is achieved by the operation method where reviews fragments are processed both by machines and manually and then are saved to blockchain.\n\nAdopting high level of responsibility when creating AI and setting building an unbiased AI as an ultimate goal is absolutely essential not only to researchers, but also to those who are in fact bringing those algorithms to mass market — business leaders and media influencers. Algorithmic bias can not only lead to the spread of human biases, but the amplification of it! Sadly, most of humans are not yet aware of software bias and tend to blindly trust AI judgement.![1_M_9ikrwkL0QjQjj9N92Mfg.jpeg](https://steemitimages.com/DQmbVdgBCg8dNSaC2q6JqWZHBbH76eQK18De2ui6xJ8KFQR/1_M_9ikrwkL0QjQjj9N92Mfg.jpeg)",
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2018/04/24 08:46:39
authorcheetah
bodyHi! I am a robot. I just upvoted you! I found similar content that readers might be interested in: https://medium.com/@arbidexpromo/is-it-time-for-decentralized-crypto-exchanges-yet-e7fc043b4140
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2018/04/24 08:46:36
authorolyagreen
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2018/04/24 08:46:24
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2018/04/24 08:45:21
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2018/04/24 08:45:09
authorolyagreen
body![1_OVhMSygWKdnUmYa_ogyPmw.jpeg](https://steemitimages.com/DQmVa5okmqbht6b2Ah8wAb3v76q68hrseXXzvJsA3RtTRrn/1_OVhMSygWKdnUmYa_ogyPmw.jpeg)From recent revelation of fake trading volumes at OKEx showing how sell-offs can manipulate the prices of cryptocurrencies at exchanges to ongoing ambiguity in crypto regulation with news from Japan issuing a warning against Binance and recent SEC hearing with Coinbase stating that the government is harming the innovation — crypto exchanges seem to be taking a hit. On a brighter side, it looks like they might as well be going mainstream in the next couple of years. This week headlines featured the news of Yahoo!-related Japanese web-giant is to open a legitimate cryptocurrency exchange. That is quite an interesting turn of events knowing that the company has been licensed by a local financial regulation agency that earlier was seeking to ban the world’s largest exchange Binance for failing to register as an operator. Binance’s CEO then confirmed the exchange relocation to Malta that is very progressive in terms of fintech. And with recent announcement of a public blockchain to facilitate the creation of a new decentralized ecosystem, the future looks bright for Binance, really. Reassuring news are also coming from Canada, where the business community is leading the way with Canadian major stock exchange operator starting a cryptocurrency brokerage service. The truth of the matter, however, is a lot more gray. Why would regulators and financial titans like Goldman Sachs interfere with the young crypto market? Recent Poloniex buyout leaves no room for doubt: crypto trade volumes and liquidity are a plum for both mainstream finance and the authorities. So the struggle is real: would exchanges go under control thus becoming completely centralised (or even merge into single enormous entity) or fulfill the dream of blockchain enthusiasts becoming fully decentralized? Most likely, in the next couple of years the 2–3 major players will be either cooperating with the government or going solo by building an independent ecosystem providing for a complete decentralization that has long been awaited in trading community. No doubt, decentralization is a great concept as it appears to be the only way to stop those notorious hacks together with pump and dump schemes. More so, decentralization will give users full command of their assets leaving the exchange control behind and mitigating the risks of funds being lost or stolen. There is maybe one downside that in fact can ruin the whole idea: to write down each and every trading order to blockchain appears to be rather costly — both data and money wise. At the same time, the immaturity of trading ecosystem — whether it be centralized or not — only complicates the issue. Even solid exchanges with large trade volumes can hardly boast security or user-friendly interface. Stories of unsavy investors and traders losing their coins are in the headlines every other day. In the world of fake trading volumes and giants like Bitconnect going down the drain in one day, how are we to know what exchange to trust? Good old Yelp-like review platforms are no help here — simply because there is none. Or it hasn’t been until now. A young driven startup Revain is building a first-ever unbiased customer reviews platform that has potential of disrupting the status-quo: they’ve already introduced ICO reviews tab and are now targeting crypto exchanges. Platform users has been given the opportunity to leave reviews on crypto exchanges based on a number of criteria: support, registration and withdrawal process. For now, the scoring is available for a few major exchanges with plans to add new ones pretty soon. Ultimately, based on current trends, my guess would be that crypto exchanges decentralization is not entirely out of realm of possibility. Especially with the likes of Binance building their own blockchains. The timeline for mainstream takeover, however, is still out of sight.
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2018/04/13 14:43:03
authorcryptick
bodyRevain is a joke. It does not deliver value. The site has poorly worded reviews and is a waste of time.
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2018/03/05 20:33:45
authordtubix
bodyNice post! I will follow you from now on. I give you a vote!
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2018/03/05 20:33:33
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steemdelegated 18.212 SP to @olyagreen
2018/02/22 12:27:09
delegateeolyagreen
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2018/02/13 01:36:03
authorsonia81
bodyYou were right!!! It is SKY ROCKETING!!1
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2018/02/13 01:35:42
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money-dreamersent 0.001 STEEM to @olyagreen- "Gift!"
2018/01/23 11:49:51
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2017/12/15 14:51:09
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2017/12/15 14:51:09
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2017/12/15 08:29:12
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2017/12/15 08:29:06
authorolyagreen
bodyAccording to Coinschedule.com, in 2017 ICOs have raised more than $3 billion. Digital currencies are decentralized and encrypted making it harder to track individuals behind them. In fact, anyone with a digital wallet can initiate an ICO. In a recent interview with The Financial Times Jordan Belfort, the infamous broker formerly known as the “Wolf of Wall Street,” warned investors and called Initial Coin Offerings the “biggest scam ever.” However, start-up companies argue that every transaction of a blockchain-based token is permanently recorded on a public ledger. Although the parties associated with each exchange are hidden behind pseudonymous IDs, it is in fact possible for investigators to track them down. But still users are expected to be tech-savvy enough not to fall for traps. So what exactly you should be looking for as an alert? The Project First of all, the project: is it disruptive? Does it really require blockchain? Not everything really needs to be decentralized. Even projects that require cryptocurrencies as payment like Steemit could very well survive with existing cryptocurrencies like Bitcoin or Ether. Ask yourself a question: “Do we need a native token for this project?” If the answer is no, chances are the ICO project is an example of crypto for crypto’s sake or just a scam. The Team Look at the team members and their background and skills. Do they have any verified professional social media accounts and experience related to the platform they are building? Check out the project advisors too. Have a look at their background on LinkedIn or other social networks. One of Cointelegraph’s contributors was involved in a scam MCX Coin token sale who was exploiting her name by saying that she was their community manager. No Github page If you see an an empty repositories for open-source at Github, this is also a red flag. GitHub is free to examine and decide if the project is worth investing, especially for those who have blockchain programming experience. For nontechnical investors, simply checking if a project has any existing files uploaded to public repositories or if it already has a functioning product should help. Sub-threads on Reddit about specific ICOs or crypto assets are also a good reference for the further technical assessment. Vague whitepaper Whitepaper of the one of the core aspects of the investigation too. Is it fully explained and clear? The lack of well-designed websites and detailed information might be because the project is still in its infancy, but it also makes it hard to determine whether it is underdeveloped or a scam. In China-based ICOs, the information in White papers is translated into English later on in the project. The best advice here is to avoid those that you do not fully understand. Vague roadmap and token functionality Then comes token utility issue: is it a utility token or a security? What are token’s functions and token economy within the platform? This is actually one of the first questions any potential advisor would ask. Product and the roadmap: is there a product available before the ICO start? If there is no clear roadmap, this is also an alert showing that the developing team has no long-term plan for the project, or is motivated solely by short-term financial gain. No social media coverage ICO projects all have dedicated Slack or Telegram channels that the public can join. Through updates, potential investors can get a sense of how the project is developing. However, while the lack of a timeline is certainly a red flag, the existence of one is not a sufficient condition to indicate the legitimacy of an ICO. To sum it up, we strongly recommend conducting a proper due diligence before investing in any of the ICOs, especially if you’re not a blockchain connoisseur, or at least consulting with a more tech-savvy advisor. ![1_eRnDuFWuKwJA4RF0OW6tzg.jpeg](https://steemitimages.com/DQmUKWJ3SbeHF41UCBCyTkZCtb9ccHT4JQEoxs4GmzKx8Kp/1_eRnDuFWuKwJA4RF0OW6tzg.jpeg)
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      "body": "According to Coinschedule.com, in 2017 ICOs have raised more than $3 billion.\nDigital currencies are decentralized and encrypted making it harder to track individuals behind them. In fact, anyone with a digital wallet can initiate an ICO. In a recent interview with The Financial Times Jordan Belfort, the infamous broker formerly known as the “Wolf of Wall Street,” warned investors and called Initial Coin Offerings the “biggest scam ever.”\nHowever, start-up companies argue that every transaction of a blockchain-based token is permanently recorded on a public ledger. Although the parties associated with each exchange are hidden behind pseudonymous IDs, it is in fact possible for investigators to track them down. But still users are expected to be tech-savvy enough not to fall for traps.\nSo what exactly you should be looking for as an alert?\nThe Project\nFirst of all, the project: is it disruptive? Does it really require blockchain? Not everything really needs to be decentralized. Even projects that require cryptocurrencies as payment like Steemit could very well survive with existing cryptocurrencies like Bitcoin or Ether. Ask yourself a question: “Do we need a native token for this project?” If the answer is no, chances are the ICO project is an example of crypto for crypto’s sake or just a scam.\nThe Team\nLook at the team members and their background and skills. Do they have any verified professional social media accounts and experience related to the platform they are building? Check out the project advisors too. Have a look at their background on LinkedIn or other social networks. One of Cointelegraph’s contributors was involved in a scam MCX Coin token sale who was exploiting her name by saying that she was their community manager.\nNo Github page\nIf you see an an empty repositories for open-source at Github, this is also a red flag. GitHub is free to examine and decide if the project is worth investing, especially for those who have blockchain programming experience. For nontechnical investors, simply checking if a project has any existing files uploaded to public repositories or if it already has a functioning product should help. Sub-threads on Reddit about specific ICOs or crypto assets are also a good reference for the further technical assessment.\nVague whitepaper\nWhitepaper of the one of the core aspects of the investigation too. Is it fully explained and clear? The lack of well-designed websites and detailed information might be because the project is still in its infancy, but it also makes it hard to determine whether it is underdeveloped or a scam. In China-based ICOs, the information in White papers is translated into English later on in the project. The best advice here is to avoid those that you do not fully understand.\nVague roadmap and token functionality\nThen comes token utility issue: is it a utility token or a security? What are token’s functions and token economy within the platform? This is actually one of the first questions any potential advisor would ask.\nProduct and the roadmap: is there a product available before the ICO start? If there is no clear roadmap, this is also an alert showing that the developing team has no long-term plan for the project, or is motivated solely by short-term financial gain.\nNo social media coverage\nICO projects all have dedicated Slack or Telegram channels that the public can join. Through updates, potential investors can get a sense of how the project is developing. However, while the lack of a timeline is certainly a red flag, the existence of one is not a sufficient condition to indicate the legitimacy of an ICO.\nTo sum it up, we strongly recommend conducting a proper due diligence before investing in any of the ICOs, especially if you’re not a blockchain connoisseur, or at least consulting with a more tech-savvy advisor.\n![1_eRnDuFWuKwJA4RF0OW6tzg.jpeg](https://steemitimages.com/DQmUKWJ3SbeHF41UCBCyTkZCtb9ccHT4JQEoxs4GmzKx8Kp/1_eRnDuFWuKwJA4RF0OW6tzg.jpeg)",
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2017/12/01 15:38:24
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2017/12/01 15:19:24
authorolyagreen
bodyThe recent introduction of cryptocurrency to the world of global banking has cardinally changed our understanding of economy as we know it. Although cryptocurrency has not been born yesterday (introduced by an anonymous avatar by the name of Satoshi Nakamoto in 2009), the jury is still out on the concept of cryptocurrency. A fraction of the market eagerly anticipates a future with new opportunities for unregulated financial activities, whatever that may imply. Another fraction se sees a concept fraught with difficult questions: how can cryptocurrency be regulated? Is it a tax evasion maneuver? Since this is a concept with artificially created demand, can cryptocurrency stocks take a dive overnight as the market crashes and leave its owners with nothing? Can the mysterious creator of Bitcoin control the world’s finances? As we look at the latest trends in the market of today, which is expanding and evolving faster than even in the history of humankind, we try to make out cause-and-effect sequences that would help clarify the uncertain and at times plain shady relationship between the economy as we used to know it, the mind-blowing concept of 21st century neocurrenncy, and our lives in the upcoming years as a result of these ambiguous and ever-changing patterns. How Does Cryptocurrency Work? Since you’re reading this we assume you have a firm grasp on the concept of cryptocurrency, which means we don’t need to go into too much depth about the mechanisms behind it. Long story short, cryptocurrency is an infuriatingly complicated conglomerate of code, which allows secure storage and transactions of funds. In fact, ever since its creation in 2009 the programmers continued working on it, constantly perfecting the code, which means that not only is this a program that is able to protect itself using the latest state-of-the-art encryption software, it is also a system not unlike Sophia the AI Robot, which has a mind of its own and is able to build itself to prevent further vulnerabilities. We also have Satoshi Nakamoto and Sophia to thank for endless panicked fan-made YouTube video improvisations on the Terminator: Rise of The Machines theme. Joking aside, the new concept of cryptocurrency has the potential of changing the world as we know it, as did the Internet: the flow of cryptofinances, as some governments warn, is completely unregulated, instant, and can serve just about any purpose, from financing terrorist attacks to crashing the world stock market to eliminating world poverty. As the same people who made Sophia the AI Robot at Hanson Robotics release the singularity code, we watch the advances holding our breath. The Prospects Does life start to sound like something out of Isaak Azimov? The future is already here. We, of course, understand the uncertainty associated with unprecedented power of cryptocurrency, and the seeming division between different countries as some take a stance for and others — against. While Russia declared it’s getting ready to make a move to completely eradicate all cryptocurrency on its territory, effectively equating it with tax evasion, which is against state law, Dubai’s Minstery of Ecomonics partnered up with UK-outsourced Object Tech Group to create its own cheaper but more see-through digital currency with improved delivery speed, and less waiting times, in October. Ali Ibrahim, the Deputy Director of Dubai Economy Accelerators, calls the technology “a game-changer”. If harnessed correctly, this tech can allow a country’s economy to make a giant leap — much the same way as sending an email replaced horse-driven carriages that delivered mail in the times of Wild West. As Dubai seeks to become the world’s first economy which is based on blockchain, we foresee exponential improvements in business transaction times, which means an unprecedented increase in the tempo of production of goods and services, huge increases in trade and military advancements, and a wide field for bountiful scientific discoveries. However, as the rest of the world falls behind, the question still is: what can this power do in the wrong (or just unskilled) hands? The Risks We have already mentioned cryptocurrency starts undergoing a continuous process of advancement once the system goes live. Making chronological software versions redundant, this system works to improve itself real-time as well as being worked on by multiple software engineers, which means that it is one of the safest systems around in terms of technology. However, because Bitcoin is not directly tied to goods and services like “real” currency like dollars and euros, the concern will remain (at least for now) of its stability. Because it provides quick and strong investment returns, cryptocurrency attracts plenty of investors willing to make easy money fast. However, as cryptocurrency grows, it also falls — and rather quickly, like it did on the 14th of September — by over 30% in two weeks (source). The major problem with Bitcoin is that, because it is not tied to some kind of concrete assets, its further course and worth are something of a gamble. We think it is possible that the future with this currency can result in a lot of frustrated buyers, but, then again, there is a possibility of that with all major banks. The question is whether you are able to do an adequate risk assessment and conclude whether it is worth investing your money in the cryptocurrency in hope for quick and colossal returns. Given immense complexity of the topic, the code, and the ever-changing market with its myriads of factors and players, that decision is becoming increasingly more complicated to make by the day. So how do you make a prognosis? Future Developments Latest legal battles aside, this extremely volatile, hard-to-understand, and mesmerizingly fast system of financial management and redistribution of funds has attracted ever-growing numbers of investors, and it keeps on bringing in new members every day, fast making this a global economy issue. As Securities and Exchange Commission in the US equates undeclared cryptocurrency trade with a crime, and cryptofunds with taxable income, we have to ask exactly how each country will deal with the risks of this new way of trading, and in which manner, if any, each state will approach dealing with internal cryptocurrency regulation as well as external factors affecting other economies’ growth. It logically follows that highly likely there will be a sharp divide between certain countries given that their policies on blockchain are so vastly different, and further questions to do with blockchain regulation within each country’s jurisdiction (plus debates within the European Union on whether cryptocurrency is liable for taxation) mean this is quickly going to become an unpredictable market niche with high impossible risk assessment, which is why we recommend doing as much research as humanly possible on the latest development before making steps in this direction.![technological-singularity.jpg](https://steemitimages.com/DQmU6MwDMKwTvFMf8ezAatLRCx4iu4awY9ZCNhun7MgqizT/technological-singularity.jpg)
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      "body": "The recent introduction of cryptocurrency to the world of global banking has cardinally changed our understanding of economy as we know it. Although cryptocurrency has not been born yesterday (introduced by an anonymous avatar by the name of Satoshi Nakamoto in 2009), the jury is still out on the concept of cryptocurrency. A fraction of the market eagerly anticipates a future with new opportunities for unregulated financial activities, whatever that may imply. Another fraction se sees a concept fraught with difficult questions: how can cryptocurrency be regulated? Is it a tax evasion maneuver? Since this is a concept with artificially created demand, can cryptocurrency stocks take a dive overnight as the market crashes and leave its owners with nothing? Can the mysterious creator of Bitcoin control the world’s finances?\nAs we look at the latest trends in the market of today, which is expanding and evolving faster than even in the history of humankind, we try to make out cause-and-effect sequences that would help clarify the uncertain and at times plain shady relationship between the economy as we used to know it, the mind-blowing concept of 21st century neocurrenncy, and our lives in the upcoming years as a result of these ambiguous and ever-changing patterns.\nHow Does Cryptocurrency Work?\nSince you’re reading this we assume you have a firm grasp on the concept of cryptocurrency, which means we don’t need to go into too much depth about the mechanisms behind it. Long story short, cryptocurrency is an infuriatingly complicated conglomerate of code, which allows secure storage and transactions of funds. In fact, ever since its creation in 2009 the programmers continued working on it, constantly perfecting the code, which means that not only is this a program that is able to protect itself using the latest state-of-the-art encryption software, it is also a system not unlike Sophia the AI Robot, which has a mind of its own and is able to build itself to prevent further vulnerabilities. We also have Satoshi Nakamoto and Sophia to thank for endless panicked fan-made YouTube video improvisations on the Terminator: Rise of The Machines theme.\nJoking aside, the new concept of cryptocurrency has the potential of changing the world as we know it, as did the Internet: the flow of cryptofinances, as some governments warn, is completely unregulated, instant, and can serve just about any purpose, from financing terrorist attacks to crashing the world stock market to eliminating world poverty. As the same people who made Sophia the AI Robot at Hanson Robotics release the singularity code, we watch the advances holding our breath.\nThe Prospects\nDoes life start to sound like something out of Isaak Azimov? The future is already here. We, of course, understand the uncertainty associated with unprecedented power of cryptocurrency, and the seeming division between different countries as some take a stance for and others — against. While Russia declared it’s getting ready to make a move to completely eradicate all cryptocurrency on its territory, effectively equating it with tax evasion, which is against state law, Dubai’s Minstery of Ecomonics partnered up with UK-outsourced Object Tech Group to create its own cheaper but more see-through digital currency with improved delivery speed, and less waiting times, in October.\nAli Ibrahim, the Deputy Director of Dubai Economy Accelerators, calls the technology “a game-changer”. If harnessed correctly, this tech can allow a country’s economy to make a giant leap — much the same way as sending an email replaced horse-driven carriages that delivered mail in the times of Wild West.\nAs Dubai seeks to become the world’s first economy which is based on blockchain, we foresee exponential improvements in business transaction times, which means an unprecedented increase in the tempo of production of goods and services, huge increases in trade and military advancements, and a wide field for bountiful scientific discoveries. However, as the rest of the world falls behind, the question still is: what can this power do in the wrong (or just unskilled) hands?\nThe Risks\nWe have already mentioned cryptocurrency starts undergoing a continuous process of advancement once the system goes live. Making chronological software versions redundant, this system works to improve itself real-time as well as being worked on by multiple software engineers, which means that it is one of the safest systems around in terms of technology. However, because Bitcoin is not directly tied to goods and services like “real” currency like dollars and euros, the concern will remain (at least for now) of its stability.\nBecause it provides quick and strong investment returns, cryptocurrency attracts plenty of investors willing to make easy money fast. However, as cryptocurrency grows, it also falls — and rather quickly, like it did on the 14th of September — by over 30% in two weeks (source). The major problem with Bitcoin is that, because it is not tied to some kind of concrete assets, its further course and worth are something of a gamble. We think it is possible that the future with this currency can result in a lot of frustrated buyers, but, then again, there is a possibility of that with all major banks. The question is whether you are able to do an adequate risk assessment and conclude whether it is worth investing your money in the cryptocurrency in hope for quick and colossal returns. Given immense complexity of the topic, the code, and the ever-changing market with its myriads of factors and players, that decision is becoming increasingly more complicated to make by the day. So how do you make a prognosis?\nFuture Developments\nLatest legal battles aside, this extremely volatile, hard-to-understand, and mesmerizingly fast system of financial management and redistribution of funds has attracted ever-growing numbers of investors, and it keeps on bringing in new members every day, fast making this a global economy issue. As Securities and Exchange Commission in the US equates undeclared cryptocurrency trade with a crime, and cryptofunds with taxable income, we have to ask exactly how each country will deal with the risks of this new way of trading, and in which manner, if any, each state will approach dealing with internal cryptocurrency regulation as well as external factors affecting other economies’ growth.\nIt logically follows that highly likely there will be a sharp divide between certain countries given that their policies on blockchain are so vastly different, and further questions to do with blockchain regulation within each country’s jurisdiction (plus debates within the European Union on whether cryptocurrency is liable for taxation) mean this is quickly going to become an unpredictable market niche with high impossible risk assessment, which is why we recommend doing as much research as humanly possible on the latest development before making steps in this direction.![technological-singularity.jpg](https://steemitimages.com/DQmU6MwDMKwTvFMf8ezAatLRCx4iu4awY9ZCNhun7MgqizT/technological-singularity.jpg)",
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2017/11/27 01:18:39
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2017/11/26 17:39:51
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2017/11/23 12:22:48
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bodyCongratulations @olyagreen! You have completed some achievement on Steemit and have been rewarded with new badge(s) : [![](https://steemitimages.com/70x80/http://steemitboard.com/notifications/post4day.png)](http://steemitboard.com/@olyagreen) You published 4 posts in one day Click on any badge to view your own Board of Honor on SteemitBoard. For more information about SteemitBoard, click [here](https://steemit.com/@steemitboard) If you no longer want to receive notifications, reply to this comment with the word `STOP` > By upvoting this notification, you can help all Steemit users. Learn how [here](https://steemit.com/steemitboard/@steemitboard/http-i-cubeupload-com-7ciqeo-png)!
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2017/11/22 15:15:39
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2017/11/22 15:15:36
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bodyCongratulations @olyagreen! You have completed some achievement on Steemit and have been rewarded with new badge(s) : [![](https://steemitimages.com/70x80/http://steemitboard.com/notifications/posts.png)](http://steemitboard.com/@olyagreen) Award for the number of posts published Click on any badge to view your own Board of Honor on SteemitBoard. For more information about SteemitBoard, click [here](https://steemit.com/@steemitboard) If you no longer want to receive notifications, reply to this comment with the word `STOP` > By upvoting this notification, you can help all Steemit users. Learn how [here](https://steemit.com/steemitboard/@steemitboard/http-i-cubeupload-com-7ciqeo-png)!
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2017/11/22 13:01:39
authorolyagreen
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2017/11/22 12:57:06
authorolyagreen
bodyElon Musk and Bill Gates and just about everybody else in technology have warned that AI could take over the world and wipe the humanity off the face of planet Earth. And Google’s AI guru recently predicted humans and machines to be merged within 20 years! No wonder. Today we see an unprecedented surge in product development using machine learning and AI: from some ridiculous apps like a Netflix tv-show inspired toll to turn a pic into a scary poster to marvelous developments like recent Airbnb’s AI that transforms design sketches into product source code. One interesting point is that such a huge market as online reviews is not exposed to that much of AI at all, whereas it’s a logical leap to suggest that the industry would be breeding grounds for it. The problem of impartiality has been the biggest pain here for quite a while. How is one to distinguish a genuine review from the fake one? Quite often common sense of a human brain fails to do so. Recent studies suggest that deep learning language models (Recurrent Neural Networks or RNNs) can easily evade human detection, which means that well designed neural networks are now capable of producing realistic online reviews. A user study showed that these fake reviews can consistently avoid detection by real users. Moreover, there AI programs trained to generate fake reviews that are indistinguishable from real reviews written by humans. Recently a group of researchers at Chicago University[1] were able to train an AI defense mechanism — a neural network that can detect machine-generated reviews with high accuracy. With a view to these tech advancements, Revain developers team managed to achieve solid operation of AI in their platform as well. The first and foremost function is to perform the first filtration stage. Here automatic filtration is using the state-of-art IBM Watson AI: each review after being submitted first has to go through automatic moderation. This is based on machine learning and neural networks. Similar systems are being implemented by major companies, like Instagram, for example. Here is shown how this happens exactly: Thanks to tone analyzer feature of IBM Watson, Revain is able to automatically determine an emotional component of reviews. If we take a look at some obviously biased comment, like this one: ‘Oh, this place sucks, such a bullshit, never ever again shall I be back here!!’, Tone Analyzer will instantly be able to detect suspicious features and suggest this review to be fake, using such criteria as Anger, Disgust, Sadness levels, Language Style and Social tendencies. Reviews like this won’t even be reaching the second manual verification level. But how much autonomy is too much for a machine trained by a human? It’s obvious that in some circumstances and industries, we’re going to have to let go of the reins. Deploying AI on online reviews market has a great potential to serve humans for a good reason. Furthermore, decision-making power is of extreme importance here too: letting the algorithm decide whether a review is genuine or not will be saving time and effort, also adding up both to the efficiency of a review platform and reviews ecosystem in general. [1] Automated Crowdturfing Attacks and Defenses in Online Review Systems. University of Chicago, 2017![photo5235910226312538281.jpg](https://steemitimages.com/DQmdnP6NqpYJ4xdH45VHEs61yobXYeSAGR4hYDtfbP3X8ss/photo5235910226312538281.jpg)
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      "body": "Elon Musk and Bill Gates and just about everybody else in technology have warned that AI could take over the world and wipe the humanity off the face of planet Earth. And Google’s AI guru recently predicted humans and machines to be merged within 20 years! No wonder. Today we see an unprecedented surge in product development using machine learning and AI: from some ridiculous apps like a Netflix tv-show inspired toll to turn a pic into a scary poster to marvelous developments like recent Airbnb’s AI that transforms design sketches into product source code.\nOne interesting point is that such a huge market as online reviews is not exposed to that much of AI at all, whereas it’s a logical leap to suggest that the industry would be breeding grounds for it. The problem of impartiality has been the biggest pain here for quite a while. How is one to distinguish a genuine review from the fake one? Quite often common sense of a human brain fails to do so. Recent studies suggest that deep learning language models (Recurrent Neural Networks or RNNs) can easily evade human detection, which means that well designed neural networks are now capable of producing realistic online reviews. A user study showed that these fake reviews can consistently avoid detection by real users. Moreover, there AI programs trained to generate fake reviews that are indistinguishable from real reviews written by humans. Recently a group of researchers at Chicago University[1] were able to train an AI defense mechanism — a neural network that can detect machine-generated reviews with high accuracy.\nWith a view to these tech advancements, Revain developers team managed to achieve solid operation of AI in their platform as well. The first and foremost function is to perform the first filtration stage. Here automatic filtration is using the state-of-art IBM Watson AI: each review after being submitted first has to go through automatic moderation. This is based on machine learning and neural networks. Similar systems are being implemented by major companies, like Instagram, for example. Here is shown how this happens exactly:\n\nThanks to tone analyzer feature of IBM Watson, Revain is able to automatically determine an emotional component of reviews. If we take a look at some obviously biased comment, like this one: ‘Oh, this place sucks, such a bullshit, never ever again shall I be back here!!’, Tone Analyzer will instantly be able to detect suspicious features and suggest this review to be fake, using such criteria as Anger, Disgust, Sadness levels, Language Style and Social tendencies. Reviews like this won’t even be reaching the second manual verification level.\n\nBut how much autonomy is too much for a machine trained by a human? It’s obvious that in some circumstances and industries, we’re going to have to let go of the reins. Deploying AI on online reviews market has a great potential to serve humans for a good reason. Furthermore, decision-making power is of extreme importance here too: letting the algorithm decide whether a review is genuine or not will be saving time and effort, also adding up both to the efficiency of a review platform and reviews ecosystem in general.\n[1] Automated Crowdturfing Attacks and Defenses in Online Review Systems. University of Chicago, 2017![photo5235910226312538281.jpg](https://steemitimages.com/DQmdnP6NqpYJ4xdH45VHEs61yobXYeSAGR4hYDtfbP3X8ss/photo5235910226312538281.jpg)",
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2017/11/22 12:20:09
authorolyagreen
bodyTrust. A simple five-letter word with a host of complications. So what does it mean to be trustless? With no central bank, external regulator or slimy system-corruptors, the transparency of blockchain technology is the perfect platform to create a system of genuine, honest reviews regarding products, services and companies. According to the latest report by BrightLocal, 84 percent of people will consult online reviews before investing in a product or service, even though many companies decide to delete and edit feedback left by consumers (cough, cough Uber). The importance of an online reputation is more significant now than ever, depicting where we eat and what we do. A positive review can attract, on average, four new potential consumers, but one negative can deter 11. A New Era The online review platform Revain has created the first decentralised review system using a two-step verification process on the basis of blockchain technology. It encourages its users to participate in the review process by rewarding them with RVN tokens — a stable non-volatile inner currency — but also has the R token as a crowdfunding instrument. Reviewers are rewarded with tokens for every submitted review, with the only requirement being that the review should pass through the filtration stage. RVN can be exchanged for R tokens and vice versa. The opening price for R tokens is .0001 BTC ($0.05 or 4p) which opens the gates for small companies to be able to afford reward users’ options. On top of this, the Ethereum blockchain guarantees total transparency, immutability and incorruptibility for the platform. Rewriting the Playbook Revain’s two-coin system ensures internal funds — the RVN token — isn’t affected by the rate of the R token or the larger market rates in general. Capping the R token offering at 1 billion, companies purchase R tokens at market value, and then exchange them for the internal RVN token. Although the intention is to drive up value through company-purchased R tokens, the marketing team will have to carry the heavy burden of attracting new businesses and users to sustain and grow value. To fund their efforts, 55 percent of the tokens have been reserved for marketing purposes, according to an interview published on cointelegraph.com. Revain seems to be off to a good start. After launching a presale on Aug. 14, more than $850,000 USD was raised in the first 30 minutes, and following its crowdsale, mixed reviews place the company in the mid-range of tokensales — a positive place to be when you consider the number of companies that were just a flash in the pan on the crowdsale radar. A positive sign of going in the right direction is that upon being listed on various crypto-exchanges R-token’s value hasn’t dropped — unlike other coins that have launched crowdsales in late August, 2017: most of them dropped massively. Hence, as coinmarketcap.com shows, token price fluctuations for BlockCat, Neblio, Opus, CoSS and many others have been generally tending to gradually drop down by times. R-token, however, has been pretty stable all this time despite market fluctuations. It started with 0.04 USD at crowdsale, going up by 113%over September — November period, and now — with the launch of the first test-version last week — has reached 0.175159 USD. The first step of the filtration process is artificial intelligence (AI) using the high-tech IBM Watson platform with a tone analyser service to detect emotion such as anger and sadness. It can then differentiate genuine reviews in comparison to spam, abuse and unwanted text. The review is then processed manually by an in-house team (who themselves have been displayed complete transparency throughout the crowdsale process), excluding any external auditors or advisors. Once the review has entered the blockchain, there is no way it can be edited or deleted. In essence, this could be a groundbreaking technology reinventing reviews as we know it — depicting near-perfect, authentic, unbiased information. The Transparency Model In the first half of 2017, crowdsale companies generated more than $1.3 billion and more than 300 new startups are expected to break into the chain by the end of the year. Calling on past horror stories from “trusted” traveler resource, Tripadvisor, which was taken to court in 2011 for publishing fake reviews, and both AirBnB and Uber notoriously deleting unfavourable comments, who are we to trust anymore? It is estimated that between 20 and 60 percent of all online reviews are false, but the blockchain can detect and filter them out — completely radicalising continuity and authenticity. There have been some questions raised about the need for blockchain technology for a quintessential “message board”, but this simple analogy is revoked by the high degree of verifiability of the reviews, making them immutable. Revain has also created a public Github page which is open for anyone to explore the source code. Another issue that has come to the surface is the fact that though Revain aims to give unsolicited advice and warn people of bad crowdsales, by the time the information is out there, many have already fallen prey. In addition to this, the blockchain does not monitor under-the-table payments for opinions, and not all are fair and transparent. Even in the case of transparent payment, the argument can still be made that a paid user will never be as objective as an unpaid one. Additional skepticism lies in the motivation for users to participate and whether companies can (and are willing) to afford that motivation. Although capturing user data is a valuable (and profitable) undertaking, companies aren’t offered an incentive to act upon the captured data. Small businesses face no social pressure (as they do with Yelp) to act upon any unfavorable feedback. Finally, any R tokens purchased don’t buy their contributors any portion of the company value, which is something of note. Overcoming Obstacles Trustless reviews act as regulation for the market, and Revain has essentially created a new generation feedback platform. Decentralised autonomous organisation (DAO) and smart contracts will defend the blockchain from any fake reviews in an autonomous and decentralised form. Introducing transparency for businesses and consumers alike, the R token is now available on CoinMarketCap and has the potential to transform the online reviews industry. Ideally, with Revain’s commitment to transparency and accountability via blockchain, as well as revolutionary AI technology to thwart emotional, unsupported and abusive reviews, they have the potential infrastructure to transform the online review industry. A transformation of this magnitude could make all the difference for a startup aiming to reach year five. The low-entry cost allows even small business to participate and earn Revain some quick profits. However, one important question remains: is there enough lasting demand to sustain long-term profits and growth versus the quick dollar, or coin?![the-price-of-transparency.jpg](https://steemitimages.com/DQmTZfjWJs4vZWzewaxQ6sKyUcHdG2enZp57kKyRisJb3ez/the-price-of-transparency.jpg)
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titleThe Price of Transparency: Analysis of Revain crowdfunding
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      "author": "olyagreen",
      "body": "Trust. A simple five-letter word with a host of complications. So what does it mean to be trustless? With no central bank, external regulator or slimy system-corruptors, the transparency of blockchain technology is the perfect platform to create a system of genuine, honest reviews regarding products, services and companies.\nAccording to the latest report by BrightLocal, 84 percent of people will consult online reviews before investing in a product or service, even though many companies decide to delete and edit feedback left by consumers (cough, cough Uber). The importance of an online reputation is more significant now than ever, depicting where we eat and what we do. A positive review can attract, on average, four new potential consumers, but one negative can deter 11.\nA New Era\nThe online review platform Revain has created the first decentralised review system using a two-step verification process on the basis of blockchain technology. It encourages its users to participate in the review process by rewarding them with RVN tokens — a stable non-volatile inner currency — but also has the R token as a crowdfunding instrument. Reviewers are rewarded with tokens for every submitted review, with the only requirement being that the review should pass through the filtration stage. RVN can be exchanged for R tokens and vice versa. The opening price for R tokens is .0001 BTC ($0.05 or 4p) which opens the gates for small companies to be able to afford reward users’ options. On top of this, the Ethereum blockchain guarantees total transparency, immutability and incorruptibility for the platform.\nRewriting the Playbook\nRevain’s two-coin system ensures internal funds — the RVN token — isn’t affected by the rate of the R token or the larger market rates in general. Capping the R token offering at 1 billion, companies purchase R tokens at market value, and then exchange them for the internal RVN token. Although the intention is to drive up value through company-purchased R tokens, the marketing team will have to carry the heavy burden of attracting new businesses and users to sustain and grow value. To fund their efforts, 55 percent of the tokens have been reserved for marketing purposes, according to an interview published on cointelegraph.com. Revain seems to be off to a good start. After launching a presale on Aug. 14, more than $850,000 USD was raised in the first 30 minutes, and following its crowdsale, mixed reviews place the company in the mid-range of tokensales — a positive place to be when you consider the number of companies that were just a flash in the pan on the crowdsale radar.\nA positive sign of going in the right direction is that upon being listed on various crypto-exchanges R-token’s value hasn’t dropped — unlike other coins that have launched crowdsales in late August, 2017: most of them dropped massively. Hence, as coinmarketcap.com shows, token price fluctuations for BlockCat, Neblio, Opus, CoSS and many others have been generally tending to gradually drop down by times. R-token, however, has been pretty stable all this time despite market fluctuations. It started with 0.04 USD at crowdsale, going up by 113%over September — November period, and now — with the launch of the first test-version last week — has reached 0.175159 USD.\nThe first step of the filtration process is artificial intelligence (AI) using the high-tech IBM Watson platform with a tone analyser service to detect emotion such as anger and sadness. It can then differentiate genuine reviews in comparison to spam, abuse and unwanted text. The review is then processed manually by an in-house team (who themselves have been displayed complete transparency throughout the crowdsale process), excluding any external auditors or advisors. Once the review has entered the blockchain, there is no way it can be edited or deleted. In essence, this could be a groundbreaking technology reinventing reviews as we know it — depicting near-perfect, authentic, unbiased information.\nThe Transparency Model\nIn the first half of 2017, crowdsale companies generated more than $1.3 billion and more than 300 new startups are expected to break into the chain by the end of the year. Calling on past horror stories from “trusted” traveler resource, Tripadvisor, which was taken to court in 2011 for publishing fake reviews, and both AirBnB and Uber notoriously deleting unfavourable comments, who are we to trust anymore? It is estimated that between 20 and 60 percent of all online reviews are false, but the blockchain can detect and filter them out — completely radicalising continuity and authenticity.\nThere have been some questions raised about the need for blockchain technology for a quintessential “message board”, but this simple analogy is revoked by the high degree of verifiability of the reviews, making them immutable. Revain has also created a public Github page which is open for anyone to explore the source code. Another issue that has come to the surface is the fact that though Revain aims to give unsolicited advice and warn people of bad crowdsales, by the time the information is out there, many have already fallen prey. In addition to this, the blockchain does not monitor under-the-table payments for opinions, and not all are fair and transparent. Even in the case of transparent payment, the argument can still be made that a paid user will never be as objective as an unpaid one.\nAdditional skepticism lies in the motivation for users to participate and whether companies can (and are willing) to afford that motivation. Although capturing user data is a valuable (and profitable) undertaking, companies aren’t offered an incentive to act upon the captured data. Small businesses face no social pressure (as they do with Yelp) to act upon any unfavorable feedback. Finally, any R tokens purchased don’t buy their contributors any portion of the company value, which is something of note.\nOvercoming Obstacles\nTrustless reviews act as regulation for the market, and Revain has essentially created a new generation feedback platform. Decentralised autonomous organisation (DAO) and smart contracts will defend the blockchain from any fake reviews in an autonomous and decentralised form. Introducing transparency for businesses and consumers alike, the R token is now available on CoinMarketCap and has the potential to transform the online reviews industry.\nIdeally, with Revain’s commitment to transparency and accountability via blockchain, as well as revolutionary AI technology to thwart emotional, unsupported and abusive reviews, they have the potential infrastructure to transform the online review industry. A transformation of this magnitude could make all the difference for a startup aiming to reach year five.\nThe low-entry cost allows even small business to participate and earn Revain some quick profits. However, one important question remains: is there enough lasting demand to sustain long-term profits and growth versus the quick dollar, or coin?![the-price-of-transparency.jpg](https://steemitimages.com/DQmTZfjWJs4vZWzewaxQ6sKyUcHdG2enZp57kKyRisJb3ez/the-price-of-transparency.jpg)",
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2017/11/22 10:55:15
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2017/11/22 10:51:33
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