Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released. On average, it costs around 75% less to run than Claude Haiku 4.5.

The what now?! arxiv.org/abs/2610.06783v1

If your answer here is "frontier agents aren't good at writing Elixir or Go", then it only makes the argument worse. Any programming language that agents can't write well out of the box is going to have a hard time in the future.

Introducing Underdog, your Private Personal AI on devices you already own Today we're announcing our backing from @a16z @khoslaventures @HummingbirdVC Anthology (@AnthropicAI @MenloVentures) @patrickc @naval @rauchg @polynoamial @Thom_Wolf @Mascobot @tszzl @OfficialLoganK and other top AI leaders Our mission is to provide free, capable, reliable and private AI to billions of people. Underdog’s Law: today’s frontier intelligence reaches your devices in six months. We’re starting with fast, capable AI that runs on consumer hardware. By co-designing models and inference engines, we’re pushing the frontier of capability, speed, power and data efficiency. Our research also spans agentic commerce, confidential inference, and how AI will reshape the internet economy. Privacy and capability no longer needs to be a tradeoff. If you believe in this future, join us. Time to build.

Apple is very anti-big-liberation which means it has to collapse as a company within the next few years. Truly the next Nokia.

If you're stuck at "AI is just another tool", you're making a category error. This is not "same computer, but better". It's far more akin to hiring a bunch of extremely intelligent and capable coworkers with whom you might occasionally disagree.

Apple is going to make it even harder to productively use macOS in the age of agents? Bold move. Let's see how it plays out!

They built a 37K cult using a fake avatar to hijack the algorithm. Code never lies and who is actually behind it is revealed inside. Model credit: @ViC305 & @Blackfrost_ai (not participants). Read the receipts behind Mia’s AI Lab 👇

Run decision models with our llama.cpp engine ⚙️ We're bringing support for over 10 System One models into Atomic Chat, now your device makes choices 10.43x faster than Jev's API utilising only the CPU Run decision models locally -> atomic.chat

It takes a while to build the confidence, but there's no future where you're manually reviewing every line of agent code. Not much acceleration in that. You need adversarial agent reviews, you need automated testing, and maybe you spot check. That's it. From prompt to production!