@BLUECOW009 trying to formalize market primitives in R7Rs, so I could define higher order terms and derrivatives to create source of truth for agents to agree on.
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Boris
6.5K posts
mini-update to the @octrascan website that will be useful for devs: you can now see the entire bytecode and exec history, as well as the full storage and memory
London, England 🇬🇧 English
Someone should build a hook that would bridge to @octra, encrypt, transfer and bridge back. Completely private transfer of a ERC20 token that can later be adapted to any existing token. This long route should take under 5 mins and still be faster than anything live onchain today.
octra labs@octralabs
Ethereum-side bridge flow is nearly done, with final tests ongoing: etherscan.io/tx/0x2bda4157e… Once live, you can bridge your $wOCT to $OCT on octra. @octra mainnet alpha operates on an encrypted and programmable state, with stealth transfers already faster than existing solutions.
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@0xdasha @peruvian_bull real treasure was the friends we made along the way
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wait until shape rotators will understand that words is shapes too and you can rotate them infinitely to get many combinations as u want
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yo @AnthropicAI @turinginst @AISecurityInst i think you might have forgotten “Someone” in your bibliography
you know, the Someone who demonstrated this phenomenon in the field a year before this paper dropped
might be worth a footnote!
Elias Al@iam_elias1
Anthropic: 250 Documents Can Permanently Corrupt Any AI Model Someone can permanently corrupt any AI model in the world right now. Not by hacking it. Not by breaking its security. By publishing 250 documents on the internet. That is the finding from Anthropic, the UK AI Security Institute, and the Alan Turing Institute — released in October 2025 as the largest data poisoning study ever conducted. Here is what data poisoning actually means. Every AI model learns from billions of documents scraped from the internet. If someone can plant corrupted documents in that pool before training begins, they can secretly teach the model to behave in specific harmful ways when it encounters a particular trigger phrase. The model learns the backdoor during training. It carries it forever. It does not know it is there. Researchers have known about this attack for years. The assumption was that it required controlling a large percentage of training data — millions of documents — to work on a big model. The bigger the model, the more poisoning you would need. This study proved that assumption completely wrong. The researchers trained models of four different sizes — from 600 million to 13 billion parameters. They slipped in either 100, 250, or 500 malicious documents. Each poisoned document looked like a normal web page at first — a short extract of legitimate text — and then contained a hidden trigger phrase followed by gibberish. 100 documents: insufficient. The backdoor did not reliably form. 250 documents: success. Every model, at every size, was permanently backdoored. 500 documents: same result as 250. The number was constant regardless of model size. A model trained on 260 billion tokens needed the same 250 poisoned documents as a model trained on 12 billion. Scale offered zero protection. Anthropic's own words: "This challenges the existing assumption that larger models require proportionally more poisoned data." Then came the sentence that should end every conversation about AI safety: "Training is easy. Untraining is impossible." Once a backdoor is in the model, it cannot be removed without starting training completely from scratch. You cannot identify which 250 documents caused it. You cannot surgically extract the corrupted behavior. You must rebuild the entire model from the beginning. Anyone can publish content to the internet. Academic papers. Blog posts. Forum discussions. Product descriptions. If even a small fraction of that content is deliberately corrupted before a training run begins, the model that learns from it carries the damage permanently and silently. GPT-5. Claude. Gemini. Every model trained on public internet data is exposed to this attack vector. The defense does not exist yet. The researchers published this not to cause panic — but to force the field to take it seriously before someone uses it. Source: Anthropic, UK AISI, Alan Turing Institute (2025) · anthropic.com/research/small… · aisi.gov.uk/blog/examining…
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This collective suicide of humanity needs to turn around!
Brian Winter@BrazilBrian
Latin America is now aging faster than ANY region in the world. Chile has a lower birthrate than even Japan. What is going on?
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Remember when @octra tried to cash in on the ZAMA hype and announced an ICO via Echo at a $200M FDV?
Anyone posting criticism back then got hit with racist replies from their team… funny how all of them disappeared now 😂
They launched quietly recently and still can’t even push past ~$81.6M FDV.
Wanted to extract at the top… ended up being a clean save fr
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@rajsh7894 @octra "remember when a team announced a sale that would be sold out, but then reconsidered as the market went to shit, and made a fair valuation launch instead..."
maybe it's not racism, and iq just doesn't run in your family bro...
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Bob Ross was the original vibe coder
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Boris retweetledi
@BLUECOW009 Still impressed how you figured out llms’ love to lisp 1.5 years before me
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