I’ve been sounding the alarm on AI for a long time

Today we're launching Desert Ant Labs: a European frontier AI lab building on-device intelligence. 18 models across audio, vision, and text. SDKs for Swift, Kotlin, and JavaScript. No tokens. No logins. Nothing leaves the device. desertant.com

Imagine we detected an alien civilization 20 light years away that hadn’t detected us, in an alternate universe where this was more plausible and earth was somehow hidden. And imagine we could easedrop on these aliens, who knew other civs might be listening. And scientists were divided about whether they were hostile. We could see some but not all of their comms. Some said they’d want to dominate us, others said they would be peaceful, maybe even benevolent. There were some concerning signs, which most scientists agreed were concerning, but didn’t agree about exactly how concerning. And some companies were trying to build powerful transmission stations to contact them, because their investors anticipated huge gains from trade with the company that first made contact and thus a lucrative trade deal, IF the aliens decided to trade rather than go to war. Some of the people who worked at these companies, who had also been studying the alien signals intently, and with the best equipment, also thought the signs were highly concerning, but still hoped the aliens would turn out to be all right. The alien civ was less advanced than our own, but clearly growing more advanced at a *much* faster rate than ours, such that soon they would eclipse us, and soon after that they could travel to our system and dominate us if they knew we were here. This is analogous to the present AI situation.

We’re introducing Claude Fable 5.1 and Claude Mythos 5.1. They're the world’s most advanced models for coding and knowledge work.

Wow. This is what practical recursive AI self-improvement looks like. 🤯 AI just spent 17 hours improving the software that controls its own behavior. Using Kimi K3, Cline recursively optimized its own coding-agent harness, boosting Terminal Bench performance from 77.5% to 88.8%. It also reduced the cost per benchmark run from $79 to $49.80. we are living through an amazing period of acceleration!

I'm quite bullish on AI in highly verifiable domains like math and coding. We're headed for narrow super intelligence, clearly. I expect progress in other domains to continue, but at a slower pace. Progress per sector will be broadly correlated to how quickly and perfectly we can verify outputs. I love Adam's graphic below. It's much closer to what I see.

This is genuinely insane. This guy burned an entire AI model directly into a chip. No GPU. No CPU. No cloud. Just raw silicon. It's called GateGPT. He took a small AI model and instead of running it as software, he built it as a physical circuit. Gate by gate. On a single chip. The result: 56,000 tokens per second. At 80 MHz. Your phone runs at 3,000 MHz. This chip runs at 80 MHz and is still faster than most AI tools you use daily. Because the AI isn't an app running on a computer. The AI is the computer. No operating system. No code. No internet connection. Just electricity flowing through a circuit that is the AI. It generates names on a tiny LCD screen. You turn a physical knob to control it. That's the whole thing. He started at 2,400 tokens per second. Optimized it 28 times over. Now it does 56,000. On a chip that fits in your palm. This is AI stripped down to its most raw form.

Welcome to the team, Andrej!

We released Claude Opus 4.6 just two months ago. Today we're sharing some info on our new model, Claude Mythos Preview.

🚨 Do you understand what happened in the last 12 hours? > A CEO of a $200 billion company said on camera that 35% of new grads won't find jobs. He didn't even flinch saying it. > Meta made $165 billion last year and is still firing 15,000 people because apparently record profit isn't profitable enough. > Some random guy in Florida sold his entire house in 5 days using ChatGPT. No real estate agent, no commission, no experience. Just vibes and a $20 subscription. > A man in Australia cured his dying dog's cancer with AI after every single vet told him there was nothing left to do. Built a custom vaccine from his couch. > The guy who created Uber and left 300,000 taxi drivers broke is back. Building robots now because apparently ruining one industry wasn't enough. > Tinder wants access to your camera roll. Your drunk photos, your 3am notes app meltdowns, your deleted selfies. They're calling it a "vibe check." > Naval, the man who made hundreds of millions investing in software, just said software is dead. Four words and the entire industry felt it. > And Anthropic removed the limit on how long their AI can think and then doubled everyone's usage for free. Because when the product is addictive enough you give the first taste away. All of that happened today. Not this week, not this quarter. Today. A random Saturday in March. This is worse than you being on meth.

The token cost to build a production feature is now lower than the meeting cost to discuss building that feature. Let me rephrase. It is literally cheaper to build the thing and see if it works than to have a 30 minute planning meeting about whether you should build it. It’s wild when you think about it. This completely inverts how you should run a software organization. The planning layer becomes the bottleneck because the building layer is essentially free. The cost of code has dropped to essentially 0. The rational response is to eliminate planning for anything that can be tested empirically. Don’t debate whether a feature will work. Just build it in 2 hours, measure it with a group of customers, and then decide to kill or keep it. I saw a startup operating this way and their build velocity is up 20x. Decision quality is up because every decision is informed by a real prototype, not a slide deck and an expensive meeting. We went from “move fast and break things” to “move fast and build everything.” The planning industrial complex is dead. Thank god.

Holy sh*t: The TIMES article about Anthropic contains more serious information between the lines than many realize. Read this article: tl;dr - Model releases are now separated by weeks, not months. Some 70% to 90% of the code used in developing future models is now written by Claude. - Anthropic ended up holding up the release of the new model, known as Claude 3.7 Sonnet, for 10 days until they were certain. - Staff believe the next few years will be a pivotal test, for the company and the world. “We should operate as if 2026 to 2030 is where all the most important things happen—models becoming faster, better, possibly faster than humans can handle them,” says Graham. - Dario Amodei has warned that AI could displace half of entry-level white collar jobs in one to five years, and urged the government and other AI companies to stop “sugar-coating” it. (...) “It is not clear where these people will go or what they will do,” he wrote, “and I am concerned that they could form an unemployed or very-low-wage ‘underclass. - Internally, employees began to question if Anthropic had crept to the cusp of the moment they had anticipated with fear and wonder: the arrival of a process known in AI circles as recursive self-improvement. - Some external experts, believes fully automated AI research could be as little as a year away.