Building https://xitter.cf/t.co/6qrAMdfhtG @ClawBankHQ Ex @theqacc @0xPolygon @banklessdao
Ohio
Joined February 2010
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How we deploy multi-trillion parameter models at 1000-2000+ tokens per second.
Like I said, we’re in the dial up era of inference. Cerebras is a peak into the future.
cerebras.ai/blog/how-we-depl…
Three papers this month:
Byte models beat token models (Meta) arxiv.org/pdf/2609.12303
A 14B agent beats the frontier arxiv.org/abs/2610.18861
A 42.8M scorer out-imagines Claude arxiv.org/abs/2603.01092
Small minds with the right shape are eating giants.
Science has dark matter.
A NeurIPS paper from Max Planck, Mila and others maps coherent ideas no research community can see, not because they're wrong but because nobody holds the right mix of concepts.
Discovery is about to go nonlinear.
arxiv.org/abs/2603.01092
"No text exists to leak."
New hybrid agents reason in latent space, so the thought never becomes a string. Nothing to exfiltrate.
The next era of security isn't encryption. It's minds that think in a medium we can't intercept.
arxiv.org/abs/2610.18861
0xJustice.eth 👹🔥 retweeted
Here's a creative way to be alerted if there's an unauthorized agentic breach of your systems: throw bitcoin private keys everywhere and leave a few dollars in each wallet.
Then. put a monitor on each wallet balance. If you notice a change in balance, write a handler that pulls the plug on everything.
I doubt an agent would resist draining a discovered, unprotected Bitcoin wallet whilst in the process of exploiting a breach.
If you put these honeypots at the outer defenses, you may be able to stop an incursion before it gets really bad.
Tokens were training wheels.
New from Meta FAIR: byte models with 29% fewer parameters surpass token models, matching them on 1/6th the data.
The future of intelligence runs on 256 raw bytes. Leaner. Harder to kill.
arxiv.org/pdf/2609.12303
Agents are starting to think in a medium that isn't language.
Stanford, Together AI and Meta built agents that reason in vector space. Swap those latent thoughts for noise and performance collapses 51%.
arxiv.org/abs/2610.18861
"Correctness is decoupled from humanlike communication."
That's from a new NYU/UT Austin paper on why AI text is getting harder to read. We stopped rewarding machines for being understood and started rewarding them for being right.
arxiv.org/abs/2610.29162
Acceleration should give a person more room to act, not just more systems to answer to.
If the machines become more capable and ordinary people become less free, we optimized the wrong thing.
A 14B hybrid reasoning agent from Stanford, Together AI and Meta just beat frontier agents. 2.7x cheaper. 1.8x faster.
arxiv.org/abs/2610.18861
0xJustice.eth 👹🔥 retweeted
One old crypto-cypherpunk idea that I think will come back with a vengeance is autonomous organizations, where you combine the automation of smart contracts for deterministic functions + ai for subjective input: DAOs 2.0.
User-ownership on the internet sounds incredible until you need to figure out how to compensate everyone fairly.
Bitcoin rewards hash rate. DeFi rewards liquidity. But how do you measure and reward contributions that aren't so easily quantified?
@jessewldn on how AI might solve one of crypto's hardest problems: allocating ownership at scale.
Better connection between Grok Bot and Cursor cloud projects. Grok Bot agents should be able to use the environments you already set up.
Proprietary frontier model vs. open-weight model.
Same app. One config change. No performance difference.
Unlocked by model improvements and a well-structured environment. You can engineer your way to free.
@bot
go through this thread and send me instructions on installing this on my Mac