
cooking @semanticlayer I'm all about MEV and stablecorn we are hiring https://nitter.gq/t.co/IbojtbRMIs
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Joined March 2022
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all future Ledger purchases should come with a drug scale for you to measure the precise weight and check if tampered
Ledger is investigating reports of loss of funds from users in South East Asia who purchased products from a reseller named CryptoBillis. As a precaution, and pending the results of our investigation, we have asked CryptoBilis to pause all sales and shipments of Ledger devices. We recommend Ledger users who purchased from this reseller in the last 90 days to not initiate set up if you have not done so yet. If you have set up your Ledger device, consider moving assets to a new Ledger signer (with new seed). We will continue to inform customers of updates as the investigation progresses.
Reach out to Ledger customer support through official channels with any questions: support.ledger.com/
Dex Chen🦇🔊 retweeted
Today I call upon the blockchain industry to calmly begin planning for "bunker mode". My personal recommendation is to set in motion a controlled mass migration of assets to fresh addresses, i.e. addresses whose pubkeys remain hidden behind a hash.
Holders, starting with large and sophisticated ones, should consider moving the bulk of their funds to addresses that have never signed a transaction. And when they do sign one, they should also move remaining funds to a new address (possibly generated from the same seed phrase).
Don't rush. While I believe there is cause for action a rushed migration would do more harm than good. Don't panic either. Moving assets to protected addresses is a simple, preventative step which does not require new cryptography or new wallets.
IMO it is now reasonable to brace for the possibility that ECDSA breaks before qday, in the worst case in months not years. By "break" I mean fast private key recovery (e.g. in one week) on available hardware (e.g. a large GPU cluster).
Recent days have been humbling for human mathematical intuition. Long-held, unquestioned hypotheses have fallen. This includes the n log(n) bound for integer multiplication and the 3SUM conjecture. In hindsight, May's unexpected disproof of the Erdős unit distance conjecture was our warning shot.
Yesterday's OpenAI drop made it clear that mathematical superintelligence is upon us. They say there are weeks where decades happen. We are about to live through weeks where centuries of mathematical progress happen. Could our magic 64-byte ECDSA signatures be too good to be true? Was it just security through obscurity all this time?
Elliptic curves feel especially vulnerable to superintelligence. Curves carry rich structure, with room for fancy tricks like Schoof, Frobenius, pairings. (By contrast, hashes are designed to minimise algebraic structure.)
Separately, as Ewin Tang can attest, an efficient quantum algorithm sometimes foreshadows an efficient classical one. We should be open to the possibility of a classical counterpart to Shor that breaks elliptic curves and RSA at once.
Also noteworthy is the striking under-representation of cryptographic breakthroughs among the 722 mathematical results OpenAI published. I've witnessed first-hand the US government censoring academic quantum cryptanalysis results. Backroom interventionism is my base case.
I urge large, sophisticated actors to lead by example. Project11's "risq list" (bitcoin-risq-list.projecteleven[.]com) is a great tracker of exposed BTC pubkeys. Binance, Bitbank, Robinhood, Bitfinex, and Tether have an opportunity to harden their cold storage. Next month I'll address institutions in London in a live Q&A (forum.ethereuminstitutional[.]org/london-2026).
Again, please do not rush. Wallets holding under 50 BTC enjoy partial cover from "Satoshi's shield", i.e. his 20K exposed addresses that hold 50 BTC each. Load-bearing signers like oracles and L2 security councils should consider rotating ECDSA pubkeys with every signed message and/or multi-signing with a hash-based schemes like SPHINCS.
Exiting bunker mode safely will require post-AI cryptography. My inclination is to go all-in on hash-based cryptography and avoid structured mathematical assumptions entirely, whether from curves, lattices, or isogenies. A single battle-tested hash (e.g. from the SHA or BLAKE families) yields plausible post-AI security.
The Ethereum roadmap on strawmap[.]org fully embraces hash-based cryptography with end-to-end formal verification as a response to the quantum threat. Those timelines must now be revisited and accelerated in light of mathematical superintelligence. I'll be pushing for maximum defensive acceleration.
Dex Chen🦇🔊 retweeted
Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights: huggingface.co/moonshotai/Ki…
Tech report: github.com/MoonshotAI/Kimi-K…
Tech blog: kimi.com/blog/kimi-k3
Dex Chen🦇🔊 retweeted
I have really started to hate Anthropic
They are Jung’s devouring mother embodied as a company
They only want power so that they can micromanage all of humanity, as self appointed “saviors of the world”
People like that have always historically done the worst things
The next great-power contest is not just over who builds the smartest model. It is over whose model becomes the world’s default teacher, historian and information filter. China understands that open weights and cheap tokens buy influence.
what i worry is when one llm dominates the market, whoever trained the llm can essentially shape society/rewrite history as it sees fit
Average US AI lab:
> builds the strongest model
> gets scared of its own model
> spends months arguing about safety
> fights other AI labs over who has the strongest model
> delays the release for more safety testing
> regulators ask for even more safety
> switches users to a dumber model
> keeps it closed source
Average Chinese AI lab:
> trains Kimi K3
> builds a 2.8T parameter monster
> gives it a 1M context window
> beats GPT-5.6 and Claude Fable 5 on some tasks
> open-sources the weights
> publishes the architecture
> refuses to elaborate
> leaves
Dex Chen🦇🔊 retweeted
Tenbin's first asset is live.
Introducing Tenbin Gold (tGLD): Liquid, Yield-bearing Tokenized Gold.
Built for instant on-chain liquidity with DeFi utility.
app.tenbinlabs.xyz
Dex Chen🦇🔊 retweeted
Claude code source code has been leaked via a map file in their npm registry!
Code: pub-aea8527898604c1bbb12468b…
My dear front-end developers (and anyone who’s interested in the future of interfaces):
I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept):
Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow
Putting out a wish to the universe.
I need more compute, if I can get more I will make sure every machine from a small phone to a bootstrapped RTX 3090 node can run frontier intelligence fast with minimal intelligence loss.
I have hit page 2 of huggingface, released 3 model family compressions and got GLM-4.7 on a MacBook huggingface.co/0xsero
My beast just isn’t enough and I already spent 2k usd on renting GPUs on top of credits provided by Prime intellect and Hotaisle.
———
If you believe in what I do help me get this to Nvidia, maybe they will bless me with the pewter to keep making local AI more accessible 🙏
this guy has 29 models on huggingface at page 2 ranking. no lab behind him. no sponsorship. $2,000 from his own pocket on GPU rentals. he compressed GLM-4.7 to run on a MacBook and quantized Nemotron Super the week it dropped. all public. all free.
nvidia is a trillion dollar company with hundreds of teams but they are not the ones quantizing models middle of the night and pushing them out before sunrise. if nvidia stopped tomorrow their employees stop working. people like @0xSero would not. that is the difference between a paycheck and a mission.
@NVIDIAAI you talk about making AI accessible. the people actually doing it are right here. 29 models deep burning their own compute with no ask except more hardware to keep going. you do not need to build another program. just look at who is already building for you. one GPU to this man would produce more public value than a hundred internal sprints.
i am not asking for charity. i am asking you to invest in someone who already proved it.
Putting out a wish to the universe.
I need more compute, if I can get more I will make sure every machine from a small phone to a bootstrapped RTX 3090 node can run frontier intelligence fast with minimal intelligence loss.
I have hit page 2 of huggingface, released 3 model family compressions and got GLM-4.7 on a MacBook huggingface.co/0xsero
My beast just isn’t enough and I already spent 2k usd on renting GPUs on top of credits provided by Prime intellect and Hotaisle.
———
If you believe in what I do help me get this to Nvidia, maybe they will bless me with the pewter to keep making local AI more accessible 🙏
- Mom, can we have the Evangelion UI?
- We got the Evangelion UI at home (but in blue).
Check out 42.semanticlayer.io/
Dex Chen🦇🔊 retweeted
Today I am happy to post one of my longest working papers, the DeFi evolution over the last 9 years.
From @Uniswap , @CurveFinance , @Balancer Evolution to the rise of @HyperliquidX this Paper covers all significant improvements in the last 9-10 years.
I hope you enjoy reading this one. After the last papers were all TradFi approaches, this one comes back to our hometown, DeFi.
(drive.google.com/file/d/1EAx…)
Dex Chen🦇🔊 retweeted
Private beta is now live.
Real markets are coming on-chain.
Liquid tokenized assets are inevitable.
tenbinlabs.xyz/blog/private-…
Dex Chen🦇🔊 retweeted
Focus is probably even more important now than taste
AI will 10x your productivity but it will simultaneously hit you with weapons-grade nerdsnipes that consume 90% of your time
Dex Chen🦇🔊 retweeted
9/
Read the full Tenbin Primer at: tenbinlabs.xyz/blog/tenbin-p…
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