VOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS0.00%
Net Worth
0.096USD
STEEM
0.000STEEM
SBD
0.118SBD
Effective Power
5.010SP
├── Own SP
0.671SP
└── Incoming DelegationsDeleg
+4.340SP
Detailed Balance
| STEEM | ||
| balance | 0.000STEEM | STEEM |
| market_balance | 0.000STEEM | STEEM |
| savings_balance | 0.000STEEM | STEEM |
| reward_steem_balance | 0.000STEEM | STEEM |
| STEEM POWER | ||
| Own SP | 0.671SP | SP |
| Delegated Out | 0.000SP | SP |
| Delegation In | 4.340SP | SP |
| Effective Power | 5.010SP | SP |
| Reward SP (pending) | 0.000SP | SP |
| SBD | ||
| sbd_balance | 0.118SBD | SBD |
| sbd_conversions | 0.000SBD | SBD |
| sbd_market_balance | 0.000SBD | SBD |
| savings_sbd_balance | 0.000SBD | SBD |
| reward_sbd_balance | 0.000SBD | SBD |
{
"balance": "0.000 STEEM",
"savings_balance": "0.000 STEEM",
"reward_steem_balance": "0.000 STEEM",
"vesting_shares": "1089.899193 VESTS",
"delegated_vesting_shares": "0.000000 VESTS",
"received_vesting_shares": "7053.760613 VESTS",
"sbd_balance": "0.118 SBD",
"savings_sbd_balance": "0.000 SBD",
"reward_sbd_balance": "0.000 SBD",
"conversions": []
}Account Info
| name | skywalker3005 |
| id | 562490 |
| rank | 727,408 |
| reputation | 757801120 |
| created | 2018-01-04T21:17:09 |
| recovery_account | steem |
| proxy | None |
| post_count | 35 |
| comment_count | 0 |
| lifetime_vote_count | 0 |
| witnesses_voted_for | 0 |
| last_post | 2018-02-15T23:02:48 |
| last_root_post | 2018-02-15T23:02:48 |
| last_vote_time | 2018-01-27T00:51:54 |
| proxied_vsf_votes | 0, 0, 0, 0 |
| can_vote | 1 |
| voting_power | 0 |
| delayed_votes | 0 |
| balance | 0.000 STEEM |
| savings_balance | 0.000 STEEM |
| sbd_balance | 0.118 SBD |
| savings_sbd_balance | 0.000 SBD |
| vesting_shares | 1089.899193 VESTS |
| delegated_vesting_shares | 0.000000 VESTS |
| received_vesting_shares | 7053.760613 VESTS |
| reward_vesting_balance | 0.000000 VESTS |
| vesting_balance | 0.000 STEEM |
| vesting_withdraw_rate | 0.000000 VESTS |
| next_vesting_withdrawal | 1969-12-31T23:59:59 |
| withdrawn | 0 |
| to_withdraw | 0 |
| withdraw_routes | 0 |
| savings_withdraw_requests | 0 |
| last_account_recovery | 1970-01-01T00:00:00 |
| reset_account | null |
| last_owner_update | 1970-01-01T00:00:00 |
| last_account_update | 2018-01-27T00:47:42 |
| mined | No |
| sbd_seconds | 0 |
| sbd_last_interest_payment | 2018-02-15T22:13:51 |
| savings_sbd_last_interest_payment | 1970-01-01T00:00:00 |
{
"active": {
"account_auths": [],
"key_auths": [
[
"STM6maKiNr79ayynCbkj3KeYJSNftJ1TTsy646Nke78cKzUGv481n",
1
]
],
"weight_threshold": 1
},
"balance": "0.000 STEEM",
"can_vote": true,
"comment_count": 0,
"created": "2018-01-04T21:17:09",
"curation_rewards": 0,
"delegated_vesting_shares": "0.000000 VESTS",
"downvote_manabar": {
"current_mana": 2035914951,
"last_update_time": 1779086250
},
"guest_bloggers": [],
"id": 562490,
"json_metadata": "{\"profile\":{\"name\":\"B.A.S\",\"cover_image\":\"https://steemitimages.com/DQmQYnGddnuBbtS3FLMzKnYCTQuZHeshLnYb3222peZayfA/Screenshot_2017-12-25-13-20-55-1.png\",\"profile_image\":\"https://steemitimages.com/DQmPKoDc3NYmcMpcQwZzzXn9UgYx4h8ZWjP9xmLVhyPnrcs/bf734e9ebc3911e3a19f1235c6a13e7d_8%20-%20Copy.jpg\",\"about\":\"Writer. Art lover. Poet.\"}}",
"last_account_recovery": "1970-01-01T00:00:00",
"last_account_update": "2018-01-27T00:47:42",
"last_owner_update": "1970-01-01T00:00:00",
"last_post": "2018-02-15T23:02:48",
"last_root_post": "2018-02-15T23:02:48",
"last_vote_time": "2018-01-27T00:51:54",
"lifetime_vote_count": 0,
"market_history": [],
"memo_key": "STM7qBzDhaRsR3CqSCz8ba96RcLwG7mFB5m8ribsWFfgKpFu9rb7D",
"mined": false,
"name": "skywalker3005",
"next_vesting_withdrawal": "1969-12-31T23:59:59",
"other_history": [],
"owner": {
"account_auths": [],
"key_auths": [
[
"STM74bFWJJeFtesVt1eFwjBfxYUsTgvxHryWP2cAru2cXdXYbHGry",
1
]
],
"weight_threshold": 1
},
"pending_claimed_accounts": 0,
"post_bandwidth": 0,
"post_count": 35,
"post_history": [],
"posting": {
"account_auths": [],
"key_auths": [
[
"STM8AmzxqA96u6yegVHiQ7ueZN7Mu3tPWL63CP8U6P5Rq4Wi5caxL",
1
]
],
"weight_threshold": 1
},
"posting_json_metadata": "{\"profile\":{\"name\":\"B.A.S\",\"cover_image\":\"https://steemitimages.com/DQmQYnGddnuBbtS3FLMzKnYCTQuZHeshLnYb3222peZayfA/Screenshot_2017-12-25-13-20-55-1.png\",\"profile_image\":\"https://steemitimages.com/DQmPKoDc3NYmcMpcQwZzzXn9UgYx4h8ZWjP9xmLVhyPnrcs/bf734e9ebc3911e3a19f1235c6a13e7d_8%20-%20Copy.jpg\",\"about\":\"Writer. Art lover. Poet.\"}}",
"posting_rewards": 62,
"proxied_vsf_votes": [
0,
0,
0,
0
],
"proxy": "",
"received_vesting_shares": "7053.760613 VESTS",
"recovery_account": "steem",
"reputation": 757801120,
"reset_account": "null",
"reward_sbd_balance": "0.000 SBD",
"reward_steem_balance": "0.000 STEEM",
"reward_vesting_balance": "0.000000 VESTS",
"reward_vesting_steem": "0.000 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": "0.118 SBD",
"sbd_last_interest_payment": "2018-02-15T22:13:51",
"sbd_seconds": "0",
"sbd_seconds_last_update": "2018-02-15T22:13:51",
"tags_usage": [],
"to_withdraw": 0,
"transfer_history": [],
"vesting_balance": "0.000 STEEM",
"vesting_shares": "1089.899193 VESTS",
"vesting_withdraw_rate": "0.000000 VESTS",
"vote_history": [],
"voting_manabar": {
"current_mana": "8143659806",
"last_update_time": 1779086250
},
"voting_power": 0,
"withdraw_routes": 0,
"withdrawn": 0,
"witness_votes": [],
"witnesses_voted_for": 0,
"rank": 727408
}Withdraw Routes
| Incoming | Outgoing |
|---|---|
Empty | Empty |
{
"incoming": [],
"outgoing": []
}From Date
To Date
steemdelegated 4.340 SP to @skywalker30052026/05/18 06:37:30
steemdelegated 4.340 SP to @skywalker3005
2026/05/18 06:37:30
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 7053.760613 VESTS |
| Transaction Info | Block #106151061/Trx 0a4a6a34a5887f52f55e59f9edcb5b87c6b2d596 |
View Raw JSON Data
{
"block": 106151061,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "7053.760613 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-05-18T06:37:30",
"trx_id": "0a4a6a34a5887f52f55e59f9edcb5b87c6b2d596",
"trx_in_block": 13,
"virtual_op": 0
}steemdelegated 2.671 SP to @skywalker30052026/05/13 05:46:15
steemdelegated 2.671 SP to @skywalker3005
2026/05/13 05:46:15
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 4341.550208 VESTS |
| Transaction Info | Block #106006754/Trx 55280204c2a0ca146e9b689f4e4b68a7372db7da |
View Raw JSON Data
{
"block": 106006754,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "4341.550208 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-05-13T05:46:15",
"trx_id": "55280204c2a0ca146e9b689f4e4b68a7372db7da",
"trx_in_block": 2,
"virtual_op": 0
}steemdelegated 4.347 SP to @skywalker30052026/04/26 05:48:45
steemdelegated 4.347 SP to @skywalker3005
2026/04/26 05:48:45
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 7066.276369 VESTS |
| Transaction Info | Block #105518535/Trx ccb12fdc6b4f6b3302a6c021fe602b193202a4c7 |
View Raw JSON Data
{
"block": 105518535,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "7066.276369 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-04-26T05:48:45",
"trx_id": "ccb12fdc6b4f6b3302a6c021fe602b193202a4c7",
"trx_in_block": 0,
"virtual_op": 0
}steemdelegated 2.697 SP to @skywalker30052026/01/24 00:58:30
steemdelegated 2.697 SP to @skywalker3005
2026/01/24 00:58:30
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 4383.097027 VESTS |
| Transaction Info | Block #102872382/Trx fa5d92e93aadb5c90d67f53ec1f18d2997c4afda |
View Raw JSON Data
{
"block": 102872382,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "4383.097027 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-01-24T00:58:30",
"trx_id": "fa5d92e93aadb5c90d67f53ec1f18d2997c4afda",
"trx_in_block": 3,
"virtual_op": 0
}steemdelegated 2.798 SP to @skywalker30052024/12/17 20:08:15
steemdelegated 2.798 SP to @skywalker3005
2024/12/17 20:08:15
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 4547.316224 VESTS |
| Transaction Info | Block #91318592/Trx 1f1d9512555fdc5e9a6761e5d7f57afc86d7b645 |
View Raw JSON Data
{
"block": 91318592,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "4547.316224 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2024-12-17T20:08:15",
"trx_id": "1f1d9512555fdc5e9a6761e5d7f57afc86d7b645",
"trx_in_block": 2,
"virtual_op": 0
}steemdelegated 2.902 SP to @skywalker30052023/11/14 11:48:54
steemdelegated 2.902 SP to @skywalker3005
2023/11/14 11:48:54
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 4716.449756 VESTS |
| Transaction Info | Block #79872727/Trx b7701d09b6bdb7cc59280b807b270a5b9eb5f734 |
View Raw JSON Data
{
"block": 79872727,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "4716.449756 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2023-11-14T11:48:54",
"trx_id": "b7701d09b6bdb7cc59280b807b270a5b9eb5f734",
"trx_in_block": 0,
"virtual_op": 0
}steemdelegated 4.708 SP to @skywalker30052023/09/22 10:48:18
steemdelegated 4.708 SP to @skywalker3005
2023/09/22 10:48:18
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 7653.358542 VESTS |
| Transaction Info | Block #78363361/Trx 3b9fd80fc5478e5f88d0b56a44766f86fc7d222e |
View Raw JSON Data
{
"block": 78363361,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "7653.358542 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2023-09-22T10:48:18",
"trx_id": "3b9fd80fc5478e5f88d0b56a44766f86fc7d222e",
"trx_in_block": 4,
"virtual_op": 0
}steemdelegated 4.845 SP to @skywalker30052022/11/03 18:12:27
steemdelegated 4.845 SP to @skywalker3005
2022/11/03 18:12:27
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 7875.409980 VESTS |
| Transaction Info | Block #69121030/Trx e7b1182153d86c622e54c33ae4fae08e939e2cda |
View Raw JSON Data
{
"block": 69121030,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "7875.409980 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2022-11-03T18:12:27",
"trx_id": "e7b1182153d86c622e54c33ae4fae08e939e2cda",
"trx_in_block": 1,
"virtual_op": 0
}steemdelegated 4.980 SP to @skywalker30052022/01/17 23:22:21
steemdelegated 4.980 SP to @skywalker3005
2022/01/17 23:22:21
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 8095.517581 VESTS |
| Transaction Info | Block #60824239/Trx d79c42a7f60ac00357af37ad973eb33d3226412a |
View Raw JSON Data
{
"block": 60824239,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "8095.517581 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2022-01-17T23:22:21",
"trx_id": "d79c42a7f60ac00357af37ad973eb33d3226412a",
"trx_in_block": 8,
"virtual_op": 0
}steemdelegated 5.094 SP to @skywalker30052021/06/14 06:32:12
steemdelegated 5.094 SP to @skywalker3005
2021/06/14 06:32:12
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 8279.711869 VESTS |
| Transaction Info | Block #54614542/Trx ebf0fa23c0acc92f762c5d002a68263ae54b7695 |
View Raw JSON Data
{
"block": 54614542,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "8279.711869 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2021-06-14T06:32:12",
"trx_id": "ebf0fa23c0acc92f762c5d002a68263ae54b7695",
"trx_in_block": 6,
"virtual_op": 0
}steemdelegated 5.209 SP to @skywalker30052020/12/11 16:44:00
steemdelegated 5.209 SP to @skywalker3005
2020/12/11 16:44:00
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 8467.133843 VESTS |
| Transaction Info | Block #49361792/Trx f5989c5a8154b8f5ae91030b2168b33a8e2bc574 |
View Raw JSON Data
{
"block": 49361792,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "8467.133843 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-12-11T16:44:00",
"trx_id": "f5989c5a8154b8f5ae91030b2168b33a8e2bc574",
"trx_in_block": 2,
"virtual_op": 0
}steemdelegated 1.177 SP to @skywalker30052020/12/06 10:19:33
steemdelegated 1.177 SP to @skywalker3005
2020/12/06 10:19:33
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 1912.543513 VESTS |
| Transaction Info | Block #49213307/Trx f5fc80bf3bb0aaadc7f68cd3437e871422e4bc43 |
View Raw JSON Data
{
"block": 49213307,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "1912.543513 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-12-06T10:19:33",
"trx_id": "f5fc80bf3bb0aaadc7f68cd3437e871422e4bc43",
"trx_in_block": 7,
"virtual_op": 0
}steemdelegated 5.213 SP to @skywalker30052020/12/05 20:21:54
steemdelegated 5.213 SP to @skywalker3005
2020/12/05 20:21:54
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 8473.341697 VESTS |
| Transaction Info | Block #49196878/Trx 3bf8db17a0aedd22f1cd0138d043fad64706452a |
View Raw JSON Data
{
"block": 49196878,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "8473.341697 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-12-05T20:21:54",
"trx_id": "3bf8db17a0aedd22f1cd0138d043fad64706452a",
"trx_in_block": 5,
"virtual_op": 0
}steemdelegated 1.181 SP to @skywalker30052020/11/03 03:15:54
steemdelegated 1.181 SP to @skywalker3005
2020/11/03 03:15:54
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 1920.017158 VESTS |
| Transaction Info | Block #48271490/Trx c2dfdf5030cd13f8963aa569e6567865a3edaa27 |
View Raw JSON Data
{
"block": 48271490,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "1920.017158 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-11-03T03:15:54",
"trx_id": "c2dfdf5030cd13f8963aa569e6567865a3edaa27",
"trx_in_block": 1,
"virtual_op": 0
}steemdelegated 5.338 SP to @skywalker30052020/05/09 11:23:06
steemdelegated 5.338 SP to @skywalker3005
2020/05/09 11:23:06
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 8676.147056 VESTS |
| Transaction Info | Block #43223646/Trx fb755e5ea32fa7b91b454f2a3a01baf4740e76c7 |
View Raw JSON Data
{
"block": 43223646,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "8676.147056 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-05-09T11:23:06",
"trx_id": "fb755e5ea32fa7b91b454f2a3a01baf4740e76c7",
"trx_in_block": 3,
"virtual_op": 0
}steemdelegated 1.202 SP to @skywalker30052020/05/08 15:49:45
steemdelegated 1.202 SP to @skywalker3005
2020/05/08 15:49:45
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 1953.311140 VESTS |
| Transaction Info | Block #43200737/Trx a9046da1e24ba66a7dd6d150ea17c91431bcb9bb |
View Raw JSON Data
{
"block": 43200737,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "1953.311140 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-05-08T15:49:45",
"trx_id": "a9046da1e24ba66a7dd6d150ea17c91431bcb9bb",
"trx_in_block": 15,
"virtual_op": 0
}steemdelegated 5.345 SP to @skywalker30052020/04/17 15:46:36
steemdelegated 5.345 SP to @skywalker3005
2020/04/17 15:46:36
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 8688.175230 VESTS |
| Transaction Info | Block #42611540/Trx 727491fa572497147d514808d69e07c643ded3ed |
View Raw JSON Data
{
"block": 42611540,
"op": [
"delegate_vesting_shares",
{
"delegatee": "skywalker3005",
"delegator": "steem",
"vesting_shares": "8688.175230 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-04-17T15:46:36",
"trx_id": "727491fa572497147d514808d69e07c643ded3ed",
"trx_in_block": 9,
"virtual_op": 0
}2020/01/04 22:44:15
2020/01/04 22:44:15
| author | steemitboard |
| body | Congratulations @skywalker3005! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@skywalker3005/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/@skywalker3005) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=skywalker3005)_</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 author | skywalker3005 |
| parent permlink | self-taught-sculptor-creates-incredible-realistic-sculptures-and-dreams-of-becoming-the-modern-michel-angelo |
| permlink | steemitboard-notify-skywalker3005-20200104t224415000z |
| title | |
| Transaction Info | Block #39645814/Trx 368d3d91c0a95e4a7a9f4d75acad91fe5ad4f45c |
View Raw JSON Data
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"body": "Congratulations @skywalker3005! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@skywalker3005/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/@skywalker3005) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=skywalker3005)_</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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}steemdelegated 5.465 SP to @skywalker30052019/05/14 06:25:24
steemdelegated 5.465 SP to @skywalker3005
2019/05/14 06:25:24
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 8883.756977 VESTS |
| Transaction Info | Block #32892886/Trx d116300852a1adcc13e2181df27b6d21f77153fe |
View Raw JSON Data
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}2019/01/04 23:11:24
2019/01/04 23:11:24
| author | steemitboard |
| body | Congratulations @skywalker3005! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@skywalker3005/birthday1.png</td><td>1 Year on Steemit</td></tr></table> <sub>_[Click here to view your Board](https://steemitboard.com/@skywalker3005)_</sub> > Support [SteemitBoard's project](https://steemit.com/@steemitboard)! **[Vote for its witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1)** and **get one more award**! |
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| parent author | skywalker3005 |
| parent permlink | self-taught-sculptor-creates-incredible-realistic-sculptures-and-dreams-of-becoming-the-modern-michel-angelo |
| permlink | steemitboard-notify-skywalker3005-20190104t231124000z |
| title | |
| Transaction Info | Block #29173254/Trx 0a0811e2e480903ab4a0ee965bd78d54fda82cd9 |
View Raw JSON Data
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"body": "Congratulations @skywalker3005! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@skywalker3005/birthday1.png</td><td>1 Year on Steemit</td></tr></table>\n\n<sub>_[Click here to view your Board](https://steemitboard.com/@skywalker3005)_</sub>\n\n\n> Support [SteemitBoard's project](https://steemit.com/@steemitboard)! **[Vote for its witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1)** and **get one more award**!",
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}steemdelegated 5.588 SP to @skywalker30052018/05/18 20:55:18
steemdelegated 5.588 SP to @skywalker3005
2018/05/18 20:55:18
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 9083.274115 VESTS |
| Transaction Info | Block #22548197/Trx 6211030b99b2044674021441edcb696a59926290 |
View Raw JSON Data
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"timestamp": "2018-05-18T20:55:18",
"trx_id": "6211030b99b2044674021441edcb696a59926290",
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}steemdelegated 18.147 SP to @skywalker30052018/04/06 16:29:33
steemdelegated 18.147 SP to @skywalker3005
2018/04/06 16:29:33
| delegatee | skywalker3005 |
| delegator | steem |
| vesting shares | 29496.577884 VESTS |
| Transaction Info | Block #21334141/Trx 42df0b0aeaff78f303e4fab84f95fdea80a7fbdf |
View Raw JSON Data
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}2018/02/25 04:03:48
2018/02/25 04:03:48
| author | dtubix |
| body | Following you! I give you a vote! |
| json metadata | |
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| parent permlink | self-taught-sculptor-creates-incredible-realistic-sculptures-and-dreams-of-becoming-the-modern-michel-angelo |
| permlink | re-self-taught-sculptor-creates-incredible-realistic-sculptures-and-dreams-of-becoming-the-modern-michel-angelo-713 |
| title | |
| Transaction Info | Block #20168893/Trx 069655057a2e6feaa51641a3c80157f9f983001e |
View Raw JSON Data
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}2018/02/25 04:00:45
2018/02/25 04:00:45
| author | skywalker3005 |
| permlink | self-taught-sculptor-creates-incredible-realistic-sculptures-and-dreams-of-becoming-the-modern-michel-angelo |
| voter | dtubix |
| weight | 5000 (50.00%) |
| Transaction Info | Block #20168832/Trx 2f061354a99c2e53081916bb8106f764ab0a5ea7 |
View Raw JSON Data
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2018/02/16 00:03:45
| author | pluriforme |
| body | followed and upvoted! hope you like mite too :) |
| json metadata | {"tags":["photography"],"app":"steemit/0.1"} |
| parent author | skywalker3005 |
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| permlink | re-skywalker3005-self-taught-sculptor-creates-incredible-realistic-sculptures-and-dreams-of-becoming-the-modern-michel-angelo-20180216t000340623z |
| title | |
| Transaction Info | Block #19904977/Trx 61eb1a2e4fe90242c56b8447946d1297944224a1 |
View Raw JSON Data
{
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"body": "followed and upvoted!\nhope you like mite too :)",
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}2018/02/16 00:03:39
2018/02/16 00:03:39
| author | skywalker3005 |
| permlink | self-taught-sculptor-creates-incredible-realistic-sculptures-and-dreams-of-becoming-the-modern-michel-angelo |
| voter | pluriforme |
| weight | 10000 (100.00%) |
| Transaction Info | Block #19904975/Trx 5a79ebc21655da4c67d24848fd42a305acc05cae |
View Raw JSON Data
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}2018/02/15 23:02:48
2018/02/15 23:02:48
| author | skywalker3005 |
| body | Jago Jacopo Cardillo, 30, is an incredible self-taught sculptor from Italy who transforms marble and stone into intricate lifelike pieces and has won over thousands of people due to his talent. Since he was a child, Jacopo was fascinated with one of the greats, Michelangelo, and dreamed of becoming a modern-day equivalent of the sculptor. And he’s for sure going in the right direction. His sculptures are extremely detailed and precise, the artist manages to create pieces that look not only realistic in shapes, bus also light and flowy. Take a look at some of his works below.            |
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| parent author | |
| parent permlink | photography |
| permlink | self-taught-sculptor-creates-incredible-realistic-sculptures-and-dreams-of-becoming-the-modern-michel-angelo |
| title | Self-Taught Sculptor Creates Incredible Realistic Sculptures And Dreams Of Becoming The Modern Michel angelo |
| Transaction Info | Block #19903759/Trx a869dd66114532c5d1b8f82b7da5d75c490b814c |
View Raw JSON Data
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"body": "Jago Jacopo Cardillo, 30, is an incredible self-taught sculptor from Italy who transforms marble and stone into intricate lifelike pieces and has won over thousands of people due to his talent.\nSince he was a child, Jacopo was fascinated with one of the greats, Michelangelo, and dreamed of becoming a modern-day equivalent of the sculptor. And he’s for sure going in the right direction.\nHis sculptures are extremely detailed and precise, the artist manages to create pieces that look not only realistic in shapes, bus also light and flowy.\nTake a look at some of his works below.\n\n\n\n\n\n\n\n\n\n\n\n\n",
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}skywalker3005claimed reward balance: 0.062 SBD, 0.018 SP2018/02/15 22:13:51
skywalker3005claimed reward balance: 0.062 SBD, 0.018 SP
2018/02/15 22:13:51
| account | skywalker3005 |
| reward sbd | 0.062 SBD |
| reward steem | 0.000 STEEM |
| reward vests | 28.641305 VESTS |
| Transaction Info | Block #19902782/Trx b4db6ba4fba2f585f7f24f4a93511ab82eef7572 |
View Raw JSON Data
{
"block": 19902782,
"op": [
"claim_reward_balance",
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"account": "skywalker3005",
"reward_sbd": "0.062 SBD",
"reward_steem": "0.000 STEEM",
"reward_vests": "28.641305 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2018-02-15T22:13:51",
"trx_id": "b4db6ba4fba2f585f7f24f4a93511ab82eef7572",
"trx_in_block": 55,
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}skywalker3005received 0.014 SBD, 0.004 SP author reward for @skywalker3005 / heavy-snowfall-hits-tokyo-and-the-results-are-pretty-much-what-you-d-expect2018/02/03 09:59:45
skywalker3005received 0.014 SBD, 0.004 SP author reward for @skywalker3005 / heavy-snowfall-hits-tokyo-and-the-results-are-pretty-much-what-you-d-expect
2018/02/03 09:59:45
| author | skywalker3005 |
| permlink | heavy-snowfall-hits-tokyo-and-the-results-are-pretty-much-what-you-d-expect |
| sbd payout | 0.014 SBD |
| steem payout | 0.000 STEEM |
| vesting payout | 6.137335 VESTS |
| Transaction Info | Block #19543070/Virtual Operation #2 |
View Raw JSON Data
{
"block": 19543070,
"op": [
"author_reward",
{
"author": "skywalker3005",
"permlink": "heavy-snowfall-hits-tokyo-and-the-results-are-pretty-much-what-you-d-expect",
"sbd_payout": "0.014 SBD",
"steem_payout": "0.000 STEEM",
"vesting_payout": "6.137335 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2018-02-03T09:59:45",
"trx_id": "0000000000000000000000000000000000000000",
"trx_in_block": 4294967295,
"virtual_op": 2
}skywalker3005received 0.014 SBD, 0.004 SP author reward for @skywalker3005 / this-nigerian-artist-s-artworks-are-so-realistic-it-s-hard-to-believe-he-used-nothing-more-than-a-pencil2018/02/03 01:41:36
skywalker3005received 0.014 SBD, 0.004 SP author reward for @skywalker3005 / this-nigerian-artist-s-artworks-are-so-realistic-it-s-hard-to-believe-he-used-nothing-more-than-a-pencil
2018/02/03 01:41:36
| author | skywalker3005 |
| permlink | this-nigerian-artist-s-artworks-are-so-realistic-it-s-hard-to-believe-he-used-nothing-more-than-a-pencil |
| sbd payout | 0.014 SBD |
| steem payout | 0.000 STEEM |
| vesting payout | 6.137441 VESTS |
| Transaction Info | Block #19533114/Virtual Operation #2 |
View Raw JSON Data
{
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2018/02/03 01:07:45
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2018/01/31 08:58:03
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2018/01/31 08:58:00
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}appiupvoted (100.00%) @skywalker3005 / engineers-design-artificial-synapse-for-brain-on-a-chip-hardware2018/01/31 08:58:00
appiupvoted (100.00%) @skywalker3005 / engineers-design-artificial-synapse-for-brain-on-a-chip-hardware
2018/01/31 08:58:00
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2018/01/30 23:27:00
| author | cheetah |
| body | Hi! I am a robot. I just upvoted you! I found similar content that readers might be interested in: http://news.mit.edu/2018/engineers-design-artificial-synapse-brain-on-a-chip-hardware-0122/ |
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}skywalker3005published a new post: engineers-design-artificial-synapse-for-brain-on-a-chip-hardware2018/01/30 23:26:30
skywalker3005published a new post: engineers-design-artificial-synapse-for-brain-on-a-chip-hardware
2018/01/30 23:26:30
| author | skywalker3005 |
| body |  Packed within the squishy, football-sized organ are somewhere around 100 billion neurons. At any given moment, a single neuron can relay instructions to thousands of other neurons via synapses -- the spaces between neurons, across which neurotransmitters are exchanged. There are more than 100 trillion synapses that mediate neuron signaling in the brain, strengthening some connections while pruning others, in a process that enables the brain to recognize patterns, remember facts, and carry out other learning tasks, at lightning speeds. Researchers in the emerging field of "neuromorphic computing" have attempted to design computer chips that work like the human brain. Instead of carrying out computations based on binary, on/off signaling, like digital chips do today, the elements of a "brain on a chip" would work in an analog fashion, exchanging a gradient of signals, or "weights," much like neurons that activate in various ways depending on the type and number of ions that flow across a synapse. In this way, small neuromorphic chips could, like the brain, efficiently process millions of streams of parallel computations that are currently only possible with large banks of supercomputers. But one significant hangup on the way to such portable artificial intelligence has been the neural synapse, which has been particularly tricky to reproduce in hardware. Now engineers at MIT have designed an artificial synapse in such a way that they can precisely control the strength of an electric current flowing across it, similar to the way ions flow between neurons. The team has built a small chip with artificial synapses, made from silicon germanium. In simulations, the researchers found that the chip and its synapses could be used to recognize samples of handwriting, with 95 percent accuracy. The design, published today in the journal Nature Materials, is a major step toward building portable, low-power neuromorphic chips for use in pattern recognition and other learning tasks. The research was led by Jeehwan Kim, the Class of 1947 Career Development Assistant Professor in the departments of Mechanical Engineering and Materials Science and Engineering, and a principal investigator in MIT's Research Laboratory of Electronics and Microsystems Technology Laboratories. His co-authors are Shinhyun Choi (first author), Scott Tan (co-first author), Zefan Li, Yunjo Kim, Chanyeol Choi, and Hanwool Yeon of MIT, along with Pai-Yu Chen and Shimeng Yu of Arizona State University. Too many paths Most neuromorphic chip designs attempt to emulate the synaptic connection between neurons using two conductive layers separated by a "switching medium," or synapse-like space. When a voltage is applied, ions should move in the switching medium to create conductive filaments, similarly to how the "weight" of a synapse changes. But it's been difficult to control the flow of ions in existing designs. Kim says that's because most switching mediums, made of amorphous materials, have unlimited possible paths through which ions can travel -- a bit like Pachinko, a mechanical arcade game that funnels small steel balls down through a series of pins and levers, which act to either divert or direct the balls out of the machine. Like Pachinko, existing switching mediums contain multiple paths that make it difficult to predict where ions will make it through. Kim says that can create unwanted nonuniformity in a synapse's performance. "Once you apply some voltage to represent some data with your artificial neuron, you have to erase and be able to write it again in the exact same way," Kim says. "But in an amorphous solid, when you write again, the ions go in different directions because there are lots of defects. This stream is changing, and it's hard to control. That's the biggest problem -- nonuniformity of the artificial synapse." A perfect mismatch Instead of using amorphous materials as an artificial synapse, Kim and his colleagues looked to single-crystalline silicon, a defect-free conducting material made from atoms arranged in a continuously ordered alignment. The team sought to create a precise, one-dimensional line defect, or dislocation, through the silicon, through which ions could predictably flow. To do so, the researchers started with a wafer of silicon, resembling, at microscopic resolution, a chicken-wire pattern. They then grew a similar pattern of silicon germanium -- a material also used commonly in transistors -- on top of the silicon wafer. Silicon germanium's lattice is slightly larger than that of silicon, and Kim found that together, the two perfectly mismatched materials can form a funnel-like dislocation, creating a single path through which ions can flow. The researchers fabricated a neuromorphic chip consisting of artificial synapses made from silicon germanium, each synapse measuring about 25 nanometers across. They applied voltage to each synapse and found that all synapses exhibited more or less the same current, or flow of ions, with about a 4 percent variation between synapses -- a much more uniform performance compared with synapses made from amorphous material. They also tested a single synapse over multiple trials, applying the same voltage over 700 cycles, and found the synapse exhibited the same current, with just 1 percent variation from cycle to cycle. "This is the most uniform device we could achieve, which is the key to demonstrating artificial neural networks," Kim says. Writing, recognized As a final test, Kim's team explored how its device would perform if it were to carry out actual learning tasks -- specifically, recognizing samples of handwriting, which researchers consider to be a first practical test for neuromorphic chips. Such chips would consist of "input/hidden/output neurons," each connected to other "neurons" via filament-based artificial synapses. Scientists believe such stacks of neural nets can be made to "learn." For instance, when fed an input that is a handwritten '1,' with an output that labels it as '1,' certain output neurons will be activated by input neurons and weights from an artificial synapse. When more examples of handwritten '1s' are fed into the same chip, the same output neurons may be activated when they sense similar features between different samples of the same letter, thus "learning" in a fashion similar to what the brain does. Kim and his colleagues ran a computer simulation of an artificial neural network consisting of three sheets of neural layers connected via two layers of artificial synapses, the properties of which they based on measurements from their actual neuromorphic chip. They fed into their simulation tens of thousands of samples from a handwritten recognition dataset commonly used by neuromorphic designers, and found that their neural network hardware recognized handwritten samples 95 percent of the time, compared to the 97 percent accuracy of existing software algorithms. The team is in the process of fabricating a working neuromorphic chip that can carry out handwriting-recognition tasks, not in simulation but in reality. Looking beyond handwriting, Kim says the team's artificial synapse design will enable much smaller, portable neural network devices that can perform complex computations that currently are only possible with large supercomputers. "Ultimately we want a chip as big as a fingernail to replace one big supercomputer," Kim says. "This opens a stepping stone to produce real artificial hardware." This research was supported in part by the National Science Foundation. |
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"body": "\nPacked within the squishy, football-sized organ are somewhere around 100 billion neurons. At any given moment, a single neuron can relay instructions to thousands of other neurons via synapses -- the spaces between neurons, across which neurotransmitters are exchanged. There are more than 100 trillion synapses that mediate neuron signaling in the brain, strengthening some connections while pruning others, in a process that enables the brain to recognize patterns, remember facts, and carry out other learning tasks, at lightning speeds.\n\nResearchers in the emerging field of \"neuromorphic computing\" have attempted to design computer chips that work like the human brain. Instead of carrying out computations based on binary, on/off signaling, like digital chips do today, the elements of a \"brain on a chip\" would work in an analog fashion, exchanging a gradient of signals, or \"weights,\" much like neurons that activate in various ways depending on the type and number of ions that flow across a synapse.\n\nIn this way, small neuromorphic chips could, like the brain, efficiently process millions of streams of parallel computations that are currently only possible with large banks of supercomputers. But one significant hangup on the way to such portable artificial intelligence has been the neural synapse, which has been particularly tricky to reproduce in hardware.\n\nNow engineers at MIT have designed an artificial synapse in such a way that they can precisely control the strength of an electric current flowing across it, similar to the way ions flow between neurons. The team has built a small chip with artificial synapses, made from silicon germanium. In simulations, the researchers found that the chip and its synapses could be used to recognize samples of handwriting, with 95 percent accuracy.\nThe design, published today in the journal Nature Materials, is a major step toward building portable, low-power neuromorphic chips for use in pattern recognition and other learning tasks.\n\nThe research was led by Jeehwan Kim, the Class of 1947 Career Development Assistant Professor in the departments of Mechanical Engineering and Materials Science and Engineering, and a principal investigator in MIT's Research Laboratory of Electronics and Microsystems Technology Laboratories. His co-authors are Shinhyun Choi (first author), Scott Tan (co-first author), Zefan Li, Yunjo Kim, Chanyeol Choi, and Hanwool Yeon of MIT, along with Pai-Yu Chen and Shimeng Yu of Arizona State University.\n\nToo many paths\n\nMost neuromorphic chip designs attempt to emulate the synaptic connection between neurons using two conductive layers separated by a \"switching medium,\" or synapse-like space. When a voltage is applied, ions should move in the switching medium to create conductive filaments, similarly to how the \"weight\" of a synapse changes.\n\nBut it's been difficult to control the flow of ions in existing designs. Kim says that's because most switching mediums, made of amorphous materials, have unlimited possible paths through which ions can travel -- a bit like Pachinko, a mechanical arcade game that funnels small steel balls down through a series of pins and levers, which act to either divert or direct the balls out of the machine.\n\nLike Pachinko, existing switching mediums contain multiple paths that make it difficult to predict where ions will make it through. Kim says that can create unwanted nonuniformity in a synapse's performance.\n\n\"Once you apply some voltage to represent some data with your artificial neuron, you have to erase and be able to write it again in the exact same way,\" Kim says. \"But in an amorphous solid, when you write again, the ions go in different directions because there are lots of defects. This stream is changing, and it's hard to control. That's the biggest problem -- nonuniformity of the artificial synapse.\"\n\nA perfect mismatch\n\nInstead of using amorphous materials as an artificial synapse, Kim and his colleagues looked to single-crystalline silicon, a defect-free conducting material made from atoms arranged in a continuously ordered alignment. The team sought to create a precise, one-dimensional line defect, or dislocation, through the silicon, through which ions could predictably flow.\n\nTo do so, the researchers started with a wafer of silicon, resembling, at microscopic resolution, a chicken-wire pattern. They then grew a similar pattern of silicon germanium -- a material also used commonly in transistors -- on top of the silicon wafer. Silicon germanium's lattice is slightly larger than that of silicon, and Kim found that together, the two perfectly mismatched materials can form a funnel-like dislocation, creating a single path through which ions can flow.\n\nThe researchers fabricated a neuromorphic chip consisting of artificial synapses made from silicon germanium, each synapse measuring about 25 nanometers across. They applied voltage to each synapse and found that all synapses exhibited more or less the same current, or flow of ions, with about a 4 percent variation between synapses -- a much more uniform performance compared with synapses made from amorphous material.\n\nThey also tested a single synapse over multiple trials, applying the same voltage over 700 cycles, and found the synapse exhibited the same current, with just 1 percent variation from cycle to cycle.\n\n\"This is the most uniform device we could achieve, which is the key to demonstrating artificial neural networks,\" Kim says.\n\nWriting, recognized\n\nAs a final test, Kim's team explored how its device would perform if it were to carry out actual learning tasks -- specifically, recognizing samples of handwriting, which researchers consider to be a first practical test for neuromorphic chips. Such chips would consist of \"input/hidden/output neurons,\" each connected to other \"neurons\" via filament-based artificial synapses.\n\nScientists believe such stacks of neural nets can be made to \"learn.\" For instance, when fed an input that is a handwritten '1,' with an output that labels it as '1,' certain output neurons will be activated by input neurons and weights from an artificial synapse. When more examples of handwritten '1s' are fed into the same chip, the same output neurons may be activated when they sense similar features between different samples of the same letter, thus \"learning\" in a fashion similar to what the brain does.\n\nKim and his colleagues ran a computer simulation of an artificial neural network consisting of three sheets of neural layers connected via two layers of artificial synapses, the properties of which they based on measurements from their actual neuromorphic chip. They fed into their simulation tens of thousands of samples from a handwritten recognition dataset commonly used by neuromorphic designers, and found that their neural network hardware recognized handwritten samples 95 percent of the time, compared to the 97 percent accuracy of existing software algorithms.\n\nThe team is in the process of fabricating a working neuromorphic chip that can carry out handwriting-recognition tasks, not in simulation but in reality. Looking beyond handwriting, Kim says the team's artificial synapse design will enable much smaller, portable neural network devices that can perform complex computations that currently are only possible with large supercomputers.\n\n\"Ultimately we want a chip as big as a fingernail to replace one big supercomputer,\" Kim says. \"This opens a stepping stone to produce real artificial hardware.\"\n\nThis research was supported in part by the National Science Foundation.",
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skywalker3005followed @bitcoinminer25
2018/01/28 01:10:33
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2018/01/28 01:02:03
| author | skywalker3005 |
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2018/01/28 01:01:54
| author | skywalker3005 |
| body | People say, that getting married is an extremely stressful thing. But this adventurous couple from California took it to the next level by saying their “I do’s” 400 feet above the ground. Ryan Jenks and Kimberly Weglin tied the knot above the desert near Moab, Utah, where they both fell in love and later got engaged. “It only made sense to them to get married here too,” wrote the photographers on their Instagram. “It is a representation of confidence, self-love, and life; the energy I want to surround myself with and carry with me into our marriage and throughout our lives together,” Weglin said in an Instagram post. The images of the ceremony are breathtaking and I could only imagine how surreal it must have felt. Take a look at some of the images from the wedding below. Would you like to get married like that?    |
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"body": "People say, that getting married is an extremely stressful thing. But this adventurous couple from California took it to the next level by saying their “I do’s” 400 feet above the ground.\nRyan Jenks and Kimberly Weglin tied the knot above the desert near Moab, Utah, where they both fell in love and later got engaged. “It only made sense to them to get married here too,” wrote the photographers on their Instagram.\n“It is a representation of confidence, self-love, and life; the energy I want to surround myself with and carry with me into our marriage and throughout our lives together,” Weglin said in an Instagram post.\nThe images of the ceremony are breathtaking and I could only imagine how surreal it must have felt.\nTake a look at some of the images from the wedding below. Would you like to get married like that?\n\n\n\n",
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2018/01/27 18:49:09
| author | skywalker3005 |
| body | Lol, I know right? very detailed too |
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2018/01/27 18:45:21
| author | cheetah |
| body | Hi! I am a robot. I just upvoted you! I found similar content that readers might be interested in: https://10ztalk.com/2018/01/25/this-brighton-artist-is-slowly-filling-the-world-with-robots-and-youll-want-to-find-one/ |
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2018/01/27 18:45:18
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2018/01/27 18:45:00
| author | skywalker3005 |
| body | In Brighton UK, there’s an artist the locals have dubbed ‘The Iron Womble’ – and he’s the creative mind responsible for a wave of tiny, upcycled robots all over the city! By collecting pieces of metal and junk this mysterious artist, named Professor Screwed, of Screwed Sculpts, is taking recycling to a new level – handcrafting what he finds into tiny robot sculptures with fantastic results! From ferocious sci-fi warriors to doting family droids, guitar wielding androids and more, these upcycled robots come in a wide range of themes; and the Professor leaves them around the city (or wherever he is) for people to find. Each robot is completely unique, and part of a unique universe where each bot has its own back story. If you keep your eyes peeled, there may just be a sci-fi friend ready to meet you. All the Professor asks in return is a picture of lucky finder’s new mecha friends. And from local kids, to international visitors, a lot of very lucky people have now found a bot! Plus there are more to find each week – sometime’s they’re even hidden internationally by the Professor’s friends and followers, so look out! If you’ve not found a bot, don’t worry – the Professor also makes bespoke sculpts to order, on any theme you can imagine.  Professor Screwed creates robots from upcycled materials and leaves them for people to find.  Every robot is a unique creation.  Some very happy locals, as well as international visitors have been lucky enough to find a robot so far…  Each week there’s a new robot to find somewhere – the Professor announces the rough location on Facebook.  Sometimes the orders are truly unique – like these Viking bots!  Or this little drummer bot.  |
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"body": "In Brighton UK, there’s an artist the locals have dubbed ‘The Iron Womble’ – and he’s the creative mind responsible for a wave of tiny, upcycled robots all over the city!\nBy collecting pieces of metal and junk this mysterious artist, named Professor Screwed, of Screwed Sculpts, is taking recycling to a new level – handcrafting what he finds into tiny robot sculptures with fantastic results!\nFrom ferocious sci-fi warriors to doting family droids, guitar wielding androids and more, these upcycled robots come in a wide range of themes; and the Professor leaves them around the city (or wherever he is) for people to find. Each robot is completely unique, and part of a unique universe where each bot has its own back story.\nIf you keep your eyes peeled, there may just be a sci-fi friend ready to meet you. All the Professor asks in return is a picture of lucky finder’s new mecha friends. And from local kids, to international visitors, a lot of very lucky people have now found a bot! Plus there are more to find each week – sometime’s they’re even hidden internationally by the Professor’s friends and followers, so look out!\nIf you’ve not found a bot, don’t worry – the Professor also makes bespoke sculpts to order, on any theme you can imagine.\n\n\n \nProfessor Screwed creates robots from upcycled materials and leaves them for people to find.\n\n\n\nEvery robot is a unique creation.\n\n\nSome very happy locals, as well as international visitors have been lucky enough to find a robot so far…\n\n\nEach week there’s a new robot to find somewhere – the Professor announces the rough location on Facebook.\n\n\nSometimes the orders are truly unique – like these Viking bots!\n\n\nOr this little drummer bot.\n",
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2018/01/27 11:19:18
| author | skywalker3005 |
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2018/01/27 11:18:33
| author | skywalker3005 |
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2018/01/27 11:18:30
| author | skywalker3005 |
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2018/01/27 10:55:09
| author | marcelgoo |
| body | #8 Jabba the Hutt is hilarious! :D |
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}pranavranaupvoted (100.00%) @skywalker3005 / beautiful-cherry-blossoms-in-tokyo2018/01/27 10:43:57
pranavranaupvoted (100.00%) @skywalker3005 / beautiful-cherry-blossoms-in-tokyo
2018/01/27 10:43:57
| author | skywalker3005 |
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}skywalker3005published a new post: beautiful-cherry-blossoms-in-tokyo2018/01/27 10:42:48
skywalker3005published a new post: beautiful-cherry-blossoms-in-tokyo
2018/01/27 10:42:48
| author | skywalker3005 |
| body | Japan is beautiful all year round, but Spring is one of my favorites, so I decided to share these pics! They are taken in many places around Tokyo, but mainly in Nishi Nippori (Yanaka Cementery and Yanaka Ginza), Komagome station surroundings and Chidorigafuchi. I took in Tokyo this Spring for the first time and I will do it again next Spring. How about coming to Japan next Spring? If you are doubting about when to come, Spring is my suggestion! It’s crowded depending on the place, but it’s totally worth it! Nishi Nippori  Chidorigafuchi  The moon  Yanaka Cementery  Komagome  |
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"body": "Japan is beautiful all year round, but Spring is one of my favorites, so I decided to share these pics!\nThey are taken in many places around Tokyo, but mainly in Nishi Nippori (Yanaka Cementery and Yanaka Ginza), Komagome station surroundings and Chidorigafuchi.\nI took in Tokyo this Spring for the first time and I will do it again next Spring. How about coming to Japan next Spring? If you are doubting about when to come, Spring is my suggestion! It’s crowded depending on the place, but it’s totally worth it!\n\nNishi Nippori\n\n\nChidorigafuchi\n\n\nThe moon\n\n\nYanaka Cementery\n\n\nKomagome\n",
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2018/01/27 10:12:48
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2018/01/27 10:05:15
| author | steemcurator |
| body | These are absolutely brilliant! |
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2018/01/27 10:05:00
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}skywalker3005upvoted (100.00%) @skywalker3005 / scene-12018/01/27 10:02:15
skywalker3005upvoted (100.00%) @skywalker3005 / scene-1
2018/01/27 10:02:15
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2018/01/27 10:01:42
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2018/01/27 10:00:06
| author | cheetah |
| body | Hi! I am a robot. I just upvoted you! I found similar content that readers might be interested in: `https://www.youtube.com/watch?v=51mWpWAyRkk` |
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2018/01/27 10:00:00
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}skywalker3005published a new post: heavy-snowfall-hits-tokyo-and-the-results-are-pretty-much-what-you-d-expect2018/01/27 09:59:45
skywalker3005published a new post: heavy-snowfall-hits-tokyo-and-the-results-are-pretty-much-what-you-d-expect
2018/01/27 09:59:45
| author | skywalker3005 |
| body | Downtown Tokyo saw its heaviest snowfall for years this Monday, causing travel chaos throughout the city. Cars were stranded and abandoned on roads, trains stopped running and people were left stuck at the airport as 250 international flights were cancelled. “It hasn't snowed in Tokyo in four years,” Tokyo resident Yukimura, which coincidentally enough means 'Snow Village' in Japanese, told Bored Panda. “Four years ago we had even heavier snow and a lot less prep. This time everyone except me knew it was coming, apparently. Was a fun surprise for me though!” What to do in the face of such a situation? Make snowmen of course! But wait, before you grab a carrot, some pebbles and a couple of sticks for arms, remember, this is Japan. Your three-ball standard fat guy snowman ain’t gonna cut it here. Yukimura explains the story behind the Japanese snowman. “The name for snowman, Yuki Daruma, doesn't mean snowman, it means snow daruma,” she told us. “Daruma is from the Daruma doll, which is based on Bodhidharma, a Buddhist monk who, according to the tales, had his arms and legs fall off during meditation. That's why Japanese snowmen have only two layers.” It appears the Japanese attitude to snow sculptures is much more developed than what we are used to in Europe and North America. What else would you expect from the land that produces some of the most beautiful, creative and cool artworks and innovations in the world? Tokyo is dotted with snow sculptures that will put a smile on your face, and put old carrot nose in your backyard to shame. They are being shared on Twitter via the trending hashtag #雪だるま, and are proving to be wildly popular! Did Yukimura get out and make a snowman herself? “I did! I had to clean up a bunch of snow outside of work today, and while I was waiting for a turn with the snow shovel I made up a little one for the sign leading to our cafe,” she told Bored Panda. “It's not as cute as the rest though!” #1  #2  #3  #4  #5  #6  #7  #8  |
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| permlink | heavy-snowfall-hits-tokyo-and-the-results-are-pretty-much-what-you-d-expect |
| title | Heavy Snowfall Hits Tokyo, And The Results Are Pretty Much What You’d Expect |
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"body": "Downtown Tokyo saw its heaviest snowfall for years this Monday, causing travel chaos throughout the city. Cars were stranded and abandoned on roads, trains stopped running and people were left stuck at the airport as 250 international flights were cancelled.\n“It hasn't snowed in Tokyo in four years,” Tokyo resident Yukimura, which coincidentally enough means 'Snow Village' in Japanese, told Bored Panda. “Four years ago we had even heavier snow and a lot less prep. This time everyone except me knew it was coming, apparently. Was a fun surprise for me though!”\nWhat to do in the face of such a situation? Make snowmen of course! But wait, before you grab a carrot, some pebbles and a couple of sticks for arms, remember, this is Japan. Your three-ball standard fat guy snowman ain’t gonna cut it here. Yukimura explains the story behind the Japanese snowman. “The name for snowman, Yuki Daruma, doesn't mean snowman, it means snow daruma,” she told us. “Daruma is from the Daruma doll, which is based on Bodhidharma, a Buddhist monk who, according to the tales, had his arms and legs fall off during meditation. That's why Japanese snowmen have only two layers.”\nIt appears the Japanese attitude to snow sculptures is much more developed than what we are used to in Europe and North America. What else would you expect from the land that produces some of the most beautiful, creative and cool artworks and innovations in the world? Tokyo is dotted with snow sculptures that will put a smile on your face, and put old carrot nose in your backyard to shame. They are being shared on Twitter via the trending hashtag #雪だるま, and are proving to be wildly popular!\nDid Yukimura get out and make a snowman herself? “I did! I had to clean up a bunch of snow outside of work today, and while I was waiting for a turn with the snow shovel I made up a little one for the sign leading to our cafe,” she told Bored Panda. “It's not as cute as the rest though!”\n\n#1\n\n\n#2\n\n\n#3\n\n\n#4\n\n\n#5\n\n\n#6\n\n\n#7\n\n\n#8\n",
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2018/01/27 09:59:06
| author | skywalker3005 |
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}skywalker3005followed @samstickkz2018/01/27 07:53:45
skywalker3005followed @samstickkz
2018/01/27 07:53:45
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}skywalker3005followed @bitcoinflood2018/01/27 07:19:06
skywalker3005followed @bitcoinflood
2018/01/27 07:19:06
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2018/01/27 07:17:33
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2018/01/27 03:55:42
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2018/01/27 03:38:03
| author | bitcoinflood |
| body | nice I saw a ai the other day which looked at old artists pictures and then created its own based on his paintings |
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2018/01/27 03:19:09
| author | skywalker3005 |
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| permlink | 7-playboy-s-playmates-recreate-their-own-magazine-covers-around-30-years-later |
| title | 7 Playboy’s Playmates Recreate Their Own Magazine Covers Around 30 Years Later |
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2018/01/27 03:11:03
| author | brockstory |
| body | Does government regulate the porn industry? Haha hahaha hahah who am I kidding of course they do. |
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2018/01/27 03:09:45
| author | skywalker3005 |
| permlink | 7-playboy-s-playmates-recreate-their-own-magazine-covers-around-30-years-later |
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2018/01/27 03:09:30
| author | skywalker3005 |
| body | The famous Playboy magazine just recreated their cover photos of 7 Playmates and the results are beautiful. Featuring Kimberley Conrad Hefner (1988), Charlotte Kemp (1982), Cathy St. George (1982), Monique St. Pierre (1978), Renee Tenison (1989), Candace Collins (1979), and Lisa Matthews (1990) - the covers were recreated by photographers Ben Miller and Ryan Lowry for Playboy, around 30 years after the releases of the previous ones. Every single one proves that beauty is timeless and women can be sexy at any age. As Hugh Hefner once said: "Once a Playmate, always a Playmate". #1 Kimberley Conrad Hefner, Playmate Of The Year 1989, January Playmate 1988   #2 Reneé Tenison, Playmate Of The Year 1990, November 1989 Playmate   #3 Candace Collins, December Playmate 1979   #4 Lisa Matthews, Playmate Of The Year 1991, April Playmate 1990   #5 Cathy St. George, August Playmate 1982   #6 Charlotte Kemp Muhl, December Playmate 1982   #7 Monique St. Pierre, Playmate Of The Year 1979, November Playmate 1978   |
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| permlink | 7-playboy-s-playmates-recreate-their-own-magazine-covers-around-30-years-later |
| title | 7 Playboy’s Playmates Recreate Their Own Magazine Covers Around 30 Years Later |
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2018/01/27 02:28:27
| author | skywalker3005 |
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2018/01/27 02:08:36
| author | skywalker3005 |
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2018/01/27 01:42:30
| author | skywalker3005 |
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2018/01/27 01:42:21
| author | cheetah |
| body | Hi! I am a robot. I just upvoted you! I found similar content that readers might be interested in: `https://www.youtube.com/watch?v=KEjsk8HwqVw` |
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2018/01/27 01:42:15
| author | skywalker3005 |
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2018/01/27 01:41:36
| author | skywalker3005 |
| body | Ken Nwadiogbu, 23, is a visual artist from Lagos, Nigeria, who specialises in 3D hyper-realistic drawings done with pencil and paper, creating pictures and portraits so realistic that you have to look twice to make sure they aren’t photographs. Ken’s art is completely self-taught and he has faced many challenges to become a recognised artist. “I learnt the technique myself, Ken told Bored Panda. “I finished with a BSc in Civil Engineering. So I never went to an art school or had any formal education in art.” Having completed his degree, his parents were not wholly convinced of his choice to pursue his art full time. “That’s “African Parents” for you,” he said with a laugh. “They were concerned about financial stability, and how the world will view you. We have so many road side artists in Lagos, so they were concerned I might be going towards that direction.” As well as worrying the parents, another challenge for Ken to overcome was the Nigerian art world. “5 years ago when I started art, there was little or no attention given it,” he explained. “There was no room to connect or understand art except if you went to an “art school”. There was this stigmatisation on artists who didn’t study art. It was hard for a young artist like myself to evolve.” Thankfully, things are changing for the better now. “The art scene is growing. Now, I see young artists being inspired and trying to focus on their dreams. I can see opportunities springing up for even those who did not study art. So it’s a work in progress, and I’m thankful for that.” Ken aims to achieve a deeper meaning through his art, one which goes beyond the visually spectacular facade he presents into themes such as gender equality, African cultures, and black power. Outlining his vision, he told Bored Panda the stories behind his work. “My art’s course is to pursue freedom of expression and belief, and to promote the voices of those rather unheard,” he said. “I also want to explore subtle desire and privilege. In The Nylon Series, there are views of enthusiasts of the typical African culture and morals. Okotogbam touches on emotion and strength of character, while The King’s Diary presents the possibilities of African Feminism, as seen in female patriarchy.” Now busy with exhibitions around Nigeria, Ken is looking forward to opening his first solo show, with the theme of African female-feminine power. Oh, and it seems that he has finally won over his parents, who have accepted his decision to pursue a life as an artist. “I’m very sure they are completely convinced now. There’s so much love now in what I do,” he told us. “They want to be part of it. Everyday they are bringing up suggestions for new paintings too, it’s so cute seeing parents do that.” Scroll down below to see Ken’s stunning works below.  “A close-up view of the artwork done with pencil on paper”    Gnaw, 2016  The Nylon Series   In the midst of Recession, 2015  Leave it torn a Little Longer, 2015  Mother, 2016  |
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| permlink | this-nigerian-artist-s-artworks-are-so-realistic-it-s-hard-to-believe-he-used-nothing-more-than-a-pencil |
| title | This Nigerian Artist’s Artworks Are So Realistic It’s Hard To Believe He Used Nothing More Than A Pencil |
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2018/01/27 01:15:09
| author | joxus |
| body | Thanks for sharing. This is extremely interesting, the technologies that some people are managing to create these days completely astound me |
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