Half-man, half-beef. UCSB Computer Science MS+BS. CTO at @lightning labs. Bitcoin · Applied Cryptography · Distributed Systems · #golang · DC42612E89237182

San Francisco, CA
Olaoluwa Osuntokun retweeted
Our latest research reduces the offchain data required for garbled Groth16 verification on Bitcoin by more than 99.99%. 48 GB → under 2 MB. eprint.iacr.org/2026/2100
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the only thing standing in the way of agent sandbox escapes is...millions of line of code you didn't even know you depended on creating secure envs for agents necessitates reducing the size of the TCB+SBOM of a given platform perhaps we'll see a return to approaches oriented around the unikernel/LibraryOS paradigm: the harness itself can be a custom application run within the kernel that eschews POSIX, etc to create a much smaller surface area on this front, @UnikraftSDK looks interesting any others worth checking out?
We asked GPT 5.6-Cyber to escape a VM used to sandbox agents. It broke out three times. In its final escape, the agent found three 0-days on its own and chained them into a working exploit. blog.trailofbits.com/2026/08…
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ofc the difficulties in the past of the a LibraryOS-like arch were lack of existing debugging/visibility/perf/observability tools we all know and love today upside is that today we have magic software genies that are capable of cranking out heap of useful code given cohesive direction excited for agents to reinvigorate kernel/operating system desing+theory
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Olaoluwa Osuntokun retweeted
New paper with @AlexRdgzG: We give polynomial-time (!) adaptive attacks against a number of threshold Schnorr signatures. At the core are the first polynomial-time attacks on LDVR, a problem whose solution yields adaptive attacks on several practical schemes.
[New] Cryptanalysis of LDVR: Polynomial-Time Adaptive Attacks against Threshold Schnorr Signatures (Alex Rodriguez Garcia and Stefano Tessaro) ia.cr/2026/2126
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> who benchmarks the benchmarks?
Introducing Benchmark Reviews: our new initiative to audit AI benchmarks. We are launching with 15 benchmarks: 4 Verified, 9 Flawed, and 2 with not enough information for a review.
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ppl like to talk about "taste", but IMO what's important is vision if you can sense/see/feel the _shape_ of a solution or problem, then in our new experimental era of software, once you can see the Opening Thread, you're nearly done by consuming more high-signal non-slop fundamental papers/books/talks, you train your Wetwear pattern matching system (satori!) to recognize more and more shapes, to further identify new Opening Threads, leaving solutions you never actually had the time to work out in your wake
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if you read one slide deck on the future of software engineering this week, it should be this one welcome to the age of software experimentation! > LLM code review is never “done”, in the same way that fuzzing is never “done”
The slides from my talk at Microsoft Bluehat Singapore are public here: thomasdullien.github.io/abou… It's my first BlueHat talk since the Vista days.
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Olaoluwa Osuntokun retweeted
🤯 Grok Bot just sent a Bitcoin Lightning payment. From a wallet it created itself. Self-custodial. The keys never left the browser. No custodian anywhere in the loop. ⚡ Powered by Wavelength 〰️⚡️ from @Lightning . @grok @bot
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Olaoluwa Osuntokun retweeted
I wrote a blog post on the recent exploits in the Bitcoin ecosystem, how Bitcoin Core is holding up, and how I think the community can get ahead of the models: dergoegge.de/blog/somethings…
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Olaoluwa Osuntokun retweeted
At the Open Source AI Summit in San Francisco, @DavidSacks joined @moneyball for a conversation on protecting open-source AI, the impact of regulation, and the global AI race.
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we got proto fly Ems before GTA VI in a decade, we'll learn that PHASEONE[big] was actually Aineko the entire time...
this is clearly amazing art. our lack of understanding of when we’re supposed to become uncomfortable is part of the art. if the fly connectome was more realistic? if it was a rabbit connectome instead? our intuitions about sentience and consciousness are riddled with holes
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so who is working on the human alignment problem???
I would like to clarify a few things: 1) The screenshot is my reaching out to Levent to coordinate our releases. I hope it’s clear from the message that we came in with the best possible intentions. 2) I never ever asked for Levent to be removed from authorship of his own work (as indicated by my text). I was surprised to learn during the call with Tristan that they had only solved Euler and not Navier-Stokes; after learning this we brainstormed possible paths forward. One option we discussed was that Tristan could be the lead author on a rewrite of OpenAI’s Navier-Stokes proof. It is in that context that I said “it would be simpler if Levent was not an Anthropic employee” because I felt it would be inappropriate for an Anthropic employee to author OpenAI’s work. Importantly it was admitted that internal Anthropic models had been used in their proof of Euler blowup; I therefore felt I could not consider Levent to be an independent academic. Another option I wanted to propose (but got cut short) is to offer access to our internal model so that they could try to finish their proof and bridge the gap between Euler and NS. Again I did not know how to navigate giving access to internal OpenAI IP to an Anthropic employee. 3) To reiterate it plainly: as my text clearly indicates, and as I said during our call, OpenAI's intention was to do everything possible to celebrate their mathematical achievements and the heroic efforts that they made on Euler. In the call I was immediately met with a litany of slander, including direct threats that if we were to announce Navier-Stokes he would immediately go to the press with a barrage of unfounded accusations. I refuted all these accusations but he replied “there is nothing you can do, I simply do not trust you”. I was confused why one would turn an incredible source for celebration (of their achievements!) into such bickering, which is when I said that I did not understand why one would risk their career [over unfounded accusations]. Genuinely, at that moment, I was trying to care for him and do a last ditch attempt to get a chance to give them all the credits that they deserve. I deeply apologize for this extremely poor choice of words, it is the opposite of what I was trying to convey. (I should say that I retracted them on the spot by the way.) 4) Overall, on a personal level, it was incredibly difficult to have these conversations. Levent refused to attend any of the meetings despite my repeated asking. As Sholto Douglas said, there will need to be coordination between Anthropic and OpenAI in the future; I felt I was doing a proxy negotiation with Anthropic while the Anthropic employee refused to directly participate.
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the wounds are still fresh, and the situation isn't fully resolved, but if Liquid is to continue operating after this incident it MUST adopt some sort of reactive security model for exits enforced time/velocity gates on fund movement is exactly the value prop of "smart wallets"
I hope the white hat hackers return Liquid funds soon and Liquid goes back to normal. But some lessons are learned the hard way. They need to add a time delay lock.
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Olaoluwa Osuntokun retweeted
Here's what we enabled: Receive USDT from a standard Lightning Payment. To make this possible, we made the @ambosstech Payments SDK (self-custody, auto-managed). A user simply creates wallets and sets the currency for each one: USDT or BTC.
Spinning up a new $USDT edge node if anyone wants to profit from the new stablecoin customers we're getting on @lightning via @ambosstech This node allows businesses to accept lightning payments and receive them as USDT. amboss.space/node/03e350e8ee…
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got the order wrong, but holding up so far
all the labs tryna snipe each other w/ their next model release
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Olaoluwa Osuntokun retweeted
first, they came for the worldcells, and I did not speak out, because I am not a wordcell then they came for the shape rotators, and I did not —
Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.
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