Eloc ✓
@Elocremarc · joined 22 May 2016
its nue!
11 640Followers
4 067Following
6 912Posts total
948.4KViews on collected posts
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Wir suchen neue Beiträge…
Deepseek models are available now in Cursor! Hosted on US servers.
While we're big fans of Deepseek, Sonnet still appears to perform much better on real-world tasks. Enjoy!
799K views · 8.4K likes
· 456 reposts · 392 replies
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we need AI proof of work mining
never trust a model that was made by any web2 company US or Chinese doesn't matter m.
The only real way to trust a model is train it in decentralized cluster. We need to train models like we build blocks in bitcoin. via decentralized proof of
2.9K views · 14 likes
· 1 reposts · 4 replies
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I wouldn't trust R1 with computer use given the existing sleeper agent research.
Open weights does not mean open latent thoughts.
Would be the perfect setup for the most insane botnet of all time. https://t.co/YjUAmeth6u


49.5K views · 264 likes
· 25 reposts · 22 replies
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how the fuck is casey's solution to runes we create an open source CEX?
casey is a web 2 cuck
he uses patreon like a boomer
I though casey was a cypherpunk wtf
I guess we gotta go to other chains for cypherpunk self custody decentralized exchanges
2K views · 31 likes
· 1 reposts · 12 replies
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@Elocremarc This is nuts.
How much did it cost?
1.3K views · 12 likes
· 0 reposts · 3 replies
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@Elocremarc Eloc filmed this timelapse and developed an entirely new technology to put his life’s work on #Bitcoin ordinals
Nothing compares to this. Except perhaps Casey @rodarmor creation of the ordinals protocol itself
Honored to support and work with you brother @Elocrem
1.5K views · 34 likes
· 1 reposts · 6 replies
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Time Perception
By Eloc
https://t.co/WBVGNL1gW0
The first high quality, large video inscribed on #Bitcoin ordinals without colluding with a miner.
Timelapse is my medium as an artist because you can have time perception outside of human consciousness. I never thought I would h
86.5K views · 464 likes
· 133 reposts · 135 replies
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0:05
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
86.5K26 Nov
1.8K
1.5K
1.3K
2K28 Jan
49.5K29 Jan
2.9K
799K30 Jan
2K31 Jan
1.8K
Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.89%26 Nov
0.91%
2.77%
1.11%
2.18%28 Jan
0.65%29 Jan
0.70%
1.19%30 Jan
0.41%31 Jan
0.97%
Reactions — likes, reposts, replies and quotes — divided by views.
What the audience does
Likes78.1%9 291 in total
Reposts5.2%617 in total
Replies4.9%583 in total
Quotes2.1%244 in total
Bookmarks9.8%1 166 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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