Doug Colkitt ✓
@0xdoug · joined 07 Aug 2021
Founder @slx_fi Founding contributor @fogo Ex: Quant
51 450Followers
2 643Following
6 874Posts total
3.3MViews on collected posts
Posts recentes
Procurando novos posts…
Bend 2 compiler that builds native SVM programs on @fogo and Solana
Bend (unlike Rust) incorporates formal verification into the lang itself. Smart contracts can be proven safe before they're even written.
Formal verification is table stakes for blockchains in an AI world. To h
6.2K views · 46 likes
· 2 reposts · 7 replies
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LLMs are built out of neural networks, so it was easy to extend to the fruit fly connectome
The first brain ever uploaded to a blockchain. Every neuron fire running as standard Solana transactions on @fogo
As long as the wallet's funded, this guy has digital immortality https:/
49.6K views · 119 likes
· 9 reposts · 14 replies
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0:19
A while ago, I realized that I needed to actually learn AI fundamentals, not just buzzwords. I'm also the type who learns more from building a prototype than reading 1000 papers
This is a self-study course with that in mind. Build and train a working LLM from scratch. No https:
11.1K views · 103 likes
· 3 reposts · 7 replies
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Bend 2 is here!
It is a new programming language that blocks AI mistakes via *proof checking* - the same technique big AI labs used to solve open math problems, like Navier-Stokes.
It is also very fast, and runs on GPUs.
Watch the video. Link in the comments. https://t.co/ux1d
1.7M views · 10.6K likes
· 1.2K reposts · 620 replies
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4:20
1/ This was really cool.
For the first time, an LLM ran entirely on the blockchain. Weights, activations, attention, tokens all loaded and calculated onchain in a general purpose ledger. Every step in the process was a standard SVM transaction. https://t.co/xIRJWteLLl
81.6K views · 366 likes
· 29 reposts · 24 replies
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1:50
@0xdoug Pure gold 😂 https://t.co/NRgUrTCIu6
8.8K views · 255 likes
· 4 reposts · 5 replies
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@0xdoug "Consensus with what?" "It's all the same f*****g model" 💯🤣😂
4.7K views · 187 likes
· 1 reposts · 0 replies
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@0xdoug "FINAL_VALIDATION_MATRIX_V2.md looks like it was written by Stalin"
"same helper function written 30 times by Astra"
wow this video is pure art.
9.8K views · 309 likes
· 1 reposts · 3 replies
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Agentic coding in 2026 https://t.co/6jj4MSDZ6B
1M views · 7.4K likes
· 936 reposts · 215 replies
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4:00
@0xdoug What if X and Y are sufficient to break current encryption algorithms or to cause mass casualties?
AI doens't have to be better than humans in all dimensions for it to be dangerous.
131 views · 3 likes
· 0 reposts · 0 replies
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@0xdoug RSI can exist whilst not being better/faster than human research. Most people think of RSI when automated research > human research in all dimensions but that's just not really true from a definition pov
441 views · 4 likes
· 0 reposts · 0 replies
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We made a perp dex. You should check it out.
Now in @FogoChain testnet.
87.5K views · 352 likes
· 19 reposts · 98 replies
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The greatest onchain perps experience has arrived on Fogo Testnet.
Zero taker fees.
CEX-grade UI.
Gas fees? Nada. https://t.co/fRYfAFBpwI
272.7K views · 444 likes
· 63 reposts · 89 replies
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0:34
Em comparação com contas do mesmo porte
11 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.
Mediana de visualizações9 839esta conta924mediana para 10K–100K
Alcance, %19.12%esta conta3.62%mediana para 10K–100K
Engajamento, %0.91%esta conta1.52%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 9 839 | 924 | 10.7× |
| Alcance (visualizações ÷ seguidores) | 19.12% | 3.62% | 5.28× |
| Taxa de engajamento | 0.91% | 1.52% | 0.60× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
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
272.7K5 Aug
87.5K
44113 Sep
131
1M14 Sep
9.8K15 Sep
4.7K
8.8K
81.6K17 Sep
1.7M
11.1K20 Sep
49.6K21 Sep
6.2K22 Sep
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.25%5 Aug
0.54%
0.91%13 Sep
2.29%
0.86%14 Sep
3.18%15 Sep
3.97%
2.99%
0.54%17 Sep
0.75%
1.03%20 Sep
0.32%21 Sep
0.90%22 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes60.7%20 210 in total
Reposts6.9%2 292 in total
Replies3.2%1 082 in total
Quotes2.0%655 in total
Bookmarks27.2%9 077 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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