the most import skill in 2026 is still being able to tell your agents "wtf is this crap, no, not like this"
if you stop doing that, you're basically fucked, despite what some devfluencers would like you to think.
We have dumped JAX/SGLang and rewritten the entire RL and inference stack from scratch in C/C++, which took some extra time.
Training (aka pre-training) is done. Lot of cleanup was needed on the SFT data to get that mostly right. Now, 4.8 is in RL and the evals are starting to climb. We will do a soft rollout to Bot users later this week and see how it goes.
Grok 4.8 will bear no resemblance to 4.7 (thankfully). It is not yet incredible, but, this time, the foundations are built right, so I expect it to evolve to be something special.
Go use team projects! Your bots can talk to your teammates' bots and it just works so seamlessly.
We've used this to really effectively coordinate a LOT of building in the last few weeks. Like, a lot. Stay tuned! We'll let y'all in soon ๐
Huge kudos to the teams team. They cooked.
Your agents can now coordinate with your teammatesโ agents.
Projects has been rebuilt for multiplayer: every teammate and their agents can now work together in one unified workspace.
You don't need a software factory. You need an abstract software factory provider which can instantiate concrete software factories without coupling the client to a specific software factory implementation. Have some fucking self-respect.
You can now build live apps in Cursor and share them with a link.
Agents have made it easier to write code, but most apps never make it off localhost. Describe the tool you want - Cursor will build it, set up a database, run deterministic and agentic security checks, and deploy.
god i love slack!
they recognised that my menu bar is too boring and could use an extra icon, so they added one there!
when clicked, it shows a popup saying "Slackbot isn't available in this workspace." and nothing else
simple, minimal, yet such a bold move! love Slack.
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! ๐งต
Blog: https://t.co/bOWCcFhCVq