My goal is to win, and not in a small way.

We Built the Product Apple Gave Up On...

This lecture was once banned from the Internet because of how powerful it is. Thank God I've recovered it after trying for years. Study before it's deleted again Titled: Why Dumb people outsmart You..

Today we announced the Claude-led discovery of a molecular machine that we suspect could represent a new gene editing mechanism. Its precise function, biotechnological utility (if any), or level of significance is not yet clear, but at minimum it is work I would have been proud to do as a PhD student. The work was done mostly, though not entirely, by Claude: our life sciences team suggested a broad area of research, Claude read through the literature and a bunch of genome data and discovered something interesting, then Claude proposed experiments to verify the discovery and our team carried them out. It’s easy to dismiss this as a one-off or curiosity, but we’ve repeatedly seen a pattern where AI performance in new intellectual domains goes from weak to superhuman in a matter of a few years. In 2023 models struggled to do math at the level of an average high-school student. In 2024 they started to do well on math competitions for the best high-schoolers in the country, in 2025 they started to solve minor open problems, in early 2026 more significant open problems, and in late 2026 they are beginning to solve the top few open problems in all of mathematics. We believe AI for biology is on a similar exponential trend. The main difference between biology and mathematics, of course, is that math can be done purely theoretically, while biology requires experimentation. Some have used this to draw the conclusion that AI’s utility in biology will be limited. We think this is wrong. As we’ve demonstrated today, humans can collaborate with AI to perform the experiments, validate key results in a few weeks and, if necessary, work with the AI to iterate on what they find. Eventually it may even be possible for Claude itself to safely perform the experiments by autonomously controlling lab equipment, with appropriate safeguards in place, but we aren’t doing that today (our lab is also a BSL1/BSL2 facility that doesn't handle materials dangerous to humans). More broadly, biomedical advancement has many stages — from fundamental biology discoveries, to translational research, to drug discovery, clinical trials, and finally the actual delivery of medicines and health care to patients. We are also interested in these later stages, but even simply accelerating the first stage of fundamental biological discoveries has the potential to speed up and broaden the entire pipeline. Improving our understanding of biology and sharpening biologists’ tools can drive forward all of the later stages, for example by identifying new drug targets, finding new therapeutic modalities, allowing for more precise measurement, and speeding up the experimental loop which itself further accelerates our understanding of biology. This will not in itself speed up clinical trial times, but if it succeeds it could greatly increase the number of promising candidates that go into the pipeline — an increase in throughput even though latency remains. In Machines of Loving Grace, I wrote about AI’s potential to “cure most diseases in 5-10 years” — a goal that sounds impossible, but one I believe is just barely possible if AI is applied to every stage of the pipeline. The first step is showing that AI can first help with, and then drive, biological discoveries. Claude’s discovery is the latest in a line of related prior work that goes back decades, beginning with systems like CRISPR, and continuing with discoveries like the bridge recombinase and VIPR in the past few years. Recently, there has been heightened interest in systems based on reverse transcriptase (RT) enzymes, the enzyme underlying the system Claude identified. And most recently, a Stanford team working independently described a novel RT system with an associated non-coding array that is in some ways similar to the one Claude found, though they are distinct systems that evolved independently from each other. I believe that we’re at the very beginning of finding such systems and developing them into powerful tools for biotechnology. I’m proud of the resources Anthropic has invested in accelerating the public benefits of AI through the life sciences, and we’re aiming both to grow our life sciences team and to work with other scientists to extend this approach to a broad range of problems. If you have a proposal for a research collaboration or are interested in joining our life sciences team, please reach out.

Had an "interview" for a blockchain project last week. Camera was on, we're chatting, and the guy tells me to clone a GitHub repo and run it locally before we go further into the technical round. I said sure, but first can you do me a favor hold up 3 fingers in front of your face for me real quick. He froze. Didn't move. Just sat there for a few seconds before the call cut off and he blocked me. That's when I knew. A real interviewer doesn't glitch out over a random ask like that. A deepfake/AI overlay does. These "run this repo" scams are getting scary common in crypto and dev hiring right now. The setup is always the same: - flattering DM - real-sounding project - rushed timeline - a "quick step" before the call that's really just remote access or a credential stealer in disguise. If someone wants you to run code or install something before you've even had a real conversation, that's the whole scam. Trust the instinct. Stay safe out there.

Jazzed up my sensecap m1 helium miner, now it’s a $CKB Lora gateway with an integrated light client. Turned a @lilygo9 t-deck into a signing device with basic wallet functionality. Key lives on sd, never leaves the deck. Now to find where I put the proper antenna for it. #ckba

We usually talk about code here. ⚙️🐛 But this time, got any questions about how what we build gets explained to everyone else? Stefan, who leads CKBA's Content & Communications team, is doing an AMA. Got questions for him? Drop them below ↓ teddit.net/r/NervosNetwork/c…

It’s always time to #runckb

Our CKBuilder tracker has now been updated! Check out the latest things the CKBuilders are working on, including a top-down survivor game on Fiber, a football/soccer prediction market, a work/jobs marketplace, plus 👀 a new orderbook DEX! And so much more. All open source, all on CKB 🔥 Check out the updated list below: github.com/Nervos-Community-…

$CKB testnet implementation of DAOWOW taking slightly longer than expected but beta close. Currently wiring in the CCC wallet connector and rigging up the draw animation.

Thanks ,very soon I will be sharing some updates about FiberNuts .

👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 👏 developers 👏 Happy world developer day :)

Hackathon's over, building definitely not. Ideas are bouncing between projects and winners keep evolving! 👀 We're seeing @ebubedev delivering beyond scope on Fiber Studio, @Code3ks refining the Cashu + Fiber, plus updates from CLASP's scoped, permissioned payments by @enochidx, and early prototypes & RFCs from @ILE_Labs on channel rebalancing and @midnightexplr on routed machine payment sessions. ⚡️ Catch up on what the community is building in Pulse 14: fiber.world/blog/pulse/issue…

In school, I hated learning. After school, I loved learning.

I WILL WIN

Your greatest weapon is your mind.

Who's doing the first agentic bank? I want to give my machine an agent account, an allowance, and permission to just take care of stuff.

Vitalik's bigger point here isn't just that SNARKs could become dramatically cheaper. Across several posts this week, he's describing a future where signatures, ZK proofs and other expensive checks can increasingly be compressed into proofs, and where "cryptographizing" computation eventually becomes as routine as using HTTPS. If that happens, it changes what we should want from a blockchain VM. If more of the base layer's job becomes verifying proofs of computation happening elsewhere, its cryptographic capabilities shouldn't be frozen around the primitives that happened to matter when the chain launched. Interestingly, that was one of CKB's earliest architectural bets. CKB is designed as a universal verification layer. CKB-VM runs RISC-V and hardcodes no cryptographic precompiles, so new signature schemes, SNARK/STARK verifiers and other cryptographic constructions can be implemented as software at the smart contract or script layer rather than added one by one to the base protocol. We've already seen this flexibility in practice. Groth16 and other ZK proof verifiers have been implemented directly on CKB-VM without modifying the underlying chain, and NIST-standardized SPHINCS+ is already live on mainnet as an opt-in Lock Script. The point is, nobody knows which cryptographic primitives will dominate ten years from now. So if Vitalik is right that cryptography is about to evolve much faster than most expect, the advantage isn't predicting the winners today. It's crypto agility: being able to adopt whatever wins tomorrow.