Google DeepMind just dropped a paper on Virtual Agent Economies 👀
We are living in amazing, crazy times.
A new economic layer is quietly coming online, a 'sandbox economy' where autonomous AI agents trade, negotiate, and build value with little to no human intervention.…
I don't expect that everyone will agree with these tradeoffs, but given the conflict it is important to explain our decisionmaking.
Here is the text:
Some of our principles are in conflict, and we’d like to explain the decisions we are making around a case of tensions between…
Markdown + Mermaid + Copilot = 🧙♂️ diagram magic!
Visual Studio now lets you preview Mermaid diagrams inline with GitHub Copilot.
No extensions needed. Just write, visualize, commit.
#GitHubCopilot is leveling up your markdown game! 🖋️📊
🔗 msft.it/6010scYFy
GPT-5-Codex is here: a version of GPT-5 better at agentic coding.
It is faster, smarter, and has new capabilities. Let us know what you think!
The team has been absolutely cooking, very fun to watch.
GPT-5 was good, actually.
After a launch that led @sama to apologize, the latest Ramp data shows OpenAI is growing business adoption faster than any other model company tracked by Ramp AI Index.
- also it's not just tech, manufacturing is adopting AI faster than any other…
🚨 BREAKING: OpenAI nonprofit to control its for-profit arm and own equity valued at $100B+
> OpenAI LLC will be converted into a Delaware Public Benefit Corporation
> OpenAI nonprofit retains control of the new PBC
> The nonprofit will hold $100B+ equity in the PBC
> The PBC…
🚀 Introducing Qwen3-Next-80B-A3B — the FUTURE of efficient LLMs is here!
🔹 80B params, but only 3B activated per token → 10x cheaper training, 10x faster inference than Qwen3-32B.(esp. @ 32K+ context!)
🔹Hybrid Architecture: Gated DeltaNet + Gated Attention → best of speed &…
Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference”
We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to…
New on the Anthropic Engineering blog: writing effective tools for LLM agents.
AI agents are only as powerful as the tools we give them. So how do we make those tools more effective?
We share our best tips for developers: anthropic.com/engineering/wr…
In-memory attention: Accelerating LLMs with analog hardware
Large language models (like GPT) generate text one word at a time. To decide the next word, they compare the new input with many past words stored in a short-term “cache.” On today’s GPUs, that cache has to be…
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