Anthropic Says It’s Topped $30 Billion in Annualized Revenue
Anthropic Says It’s Topped $30 Billion in Annualized Revenue The Information
Anthropic ups compute deal with Google and Broadcom amid skyrocketing demand
Anthropic has signed a deal with Google and Broadcom for multiple gigawatts of TPU computing capacity, set to come online starting in 2027. The article Anthropic signs multi-gigawatt TPU deal with Google and Broadcom appeared first on The Decoder.
Claude Code for Healthcare: How Physicians Build with AI - anthropic.com
Claude Code for Healthcare: How Physicians Build with AI anthropic.com
GLM-5.1: Towards Long-Horizon Tasks
Hybrid Attention
GLM-5.1
AI may be making us think and write more alike
You can now fine-tune Gemma 4 locally 8GB VRAM + Bug Fixes
Hey guys, you can now fine-tune Gemma 4 E2B and E4B in our free Unsloth notebooks! You need **8GB VRAM to train Gemma-4-E2B** locally. Unsloth trains Gemma 4 **\~1.5x faster with \~60% less VRAM** than FA2 setups: [https://github.com/unslothai/unsloth](https://github.com/unslothai/unsloth) We also
Every day I wake up and thank God for having me be born 23 minutes away from a MicroCenter
Show HN: Marimo pair – reactive Python notebooks as environments for agents
DFlash: Block Diffusion for Flash Speculative Decoding.
[https://z-lab.ai/projects/dflash/](https://z-lab.ai/projects/dflash/) [https://github.com/z-lab/dflash](https://github.com/z-lab/dflash) [https://huggingface.co/collections/z-lab/dflash](https://huggingface.co/collections/z-lab/dflash)
Copying is BAD!
Let the game begins
Meta employees compete for token consumption on an internal AI leaderboard
At Meta, employees compete for titles like "Token Legend," "Model Connoisseur," and "Cache Wizard" on an internal leaderboard that ranks AI token consumption. But burning through more tokens doesn't automatically mean getting more done. The article Meta employees compete for token consumption on an
Auto-creation of agent SKILLs from observing your screen via Gemma 4 for any agent to execute and self-improve
AgentHandover is an open-source Mac menu bar app that watches your screen through Gemma 4 (running locally via Ollama) and turns your repeated workflows into structured Skill files that any agent can follow. I built it because every time I wanted an agent to handle something for me I had to explain
Turns out Gemma 4 had MTP (multi token prediction) all along
Hey Everyone, While I was trying to utilize Gemma 4 through the LiteRT api in my android app, I noticed that Gemma 4 was throwing errors when loading it on my Google Pixel 9 test device of the "mtp weights being an incompatible tensor shape". I did some digging and found out there's additional MTP p