New Engineering blog: We tasked Opus 4.6 using agent teams to build a C compiler. Then we (mostly) walked away. Two weeks later, it worked on the Linux kernel.
Here's what it taught us about the future of autonomous software development.
Read more: https://t.co/htX0wl4wIf
We've added a new command to Claude Code called /insights
When you run it, Claude Code will read your message history from the past month. It'll summarize your projects, how you use Claude Code, and give suggestions on how to improve your workflow.
I'm Boris and I created Claude Code. I wanted to quickly share a few tips for using Claude Code, sourced directly from the Claude Code team. The way the team uses Claude is different than how I use it. Remember: there is no one right way to use Claude Code -- everyones' setup is different. You should experiment to see what works for you!
NVIDIA just dropped PersonaPlex-7B 🤯
A full-duplex voice model that listens and talks at the same time.
No pauses. No turn-taking. Real conversation.
100% open source. Free.
Voice AI just leveled up.
https://t.co/YfzFQfBzMS
Yann LeCun says the AI industry is completely LLM-pilled, with everyone digging in the same direction and stealing each other's engineers
"i left Meta because they also became LLM-pilled"
We cannot build true agentic systems without the ability to predict the consequences of actions, just like humans do
My yearly reminder to all founders as you go build that next Google/MSFT/Salesforce killer app in 2026: when distribution is proprietary, distribution wins (Comcast vs Netflix), when distribution is commoditized, best product wins (chrome vs IE), when product is commoditized, best service wins (Amazon vs others), when service is commoditized, best network wins.
We managed to get Claude code, Codex and Gemini CLI to train good AI models thanks to @huggingface skills and you can too even (especially?) if you've never trained a model before 🤯🤯🤯
After changing the way we build software, AI might start to change the way we build AI (autocatalysis much?)!! 🔥🔥🔥
Elon Musk came up with a pretty incredible idea during the Q3 Earnings Call, that no one is really talking about.
His words: “Actually, one of the things I thought, if we've got all these cars that maybe are bored, while they're sort of, if they are bored, we could actually have a giant distributed inference fleet and say, if they're not actively driving, let's just have a giant distributed inference fleet.
At some point, if you've got tens of millions of cars in the fleet, or maybe at some point 100 million cars in the fleet, and let's say they had at that point, I don't know, a kilowatt of inference capability, of high-performance inference capability, that's 100 gigawatts of inference distributed with power and cooling taken, with cooling and power conversion taken care of. That seems like a pretty significant asset.”
So basically, each car has ~1 kilowatt of high-performance AI inference capability, Tesla wouldn’t need to build giant data centers — the fleet is the data center.
Tesla could turn their entire fleet into a giant distributed inference network, spread across the world, powered by the batteries and AI in the car already.
Mind blown.
Les ads statics sont très puissantes lorsqu'elles fonctionnent bien sur votre produit
Je vous ai préparé un document avec plusieurs des tops formats de statics ads
Pour le recevoir :
RT + commente "static"
(tu dois me follow pour que je puisse te dm)