Gemma 4 is here, and it’s packing an incredible amount of intelligence per parameter 👇

Gemma 4 by Google DeepMind debuts at 3rd and 6th on the open source leaderboard, making it the #1 ranked US open source model. By total parameter count, Gemma 4 31B is 24× smaller than GLM-5 and 34× smaller than Kimi-K2.5-Thinking, delivering comparable performance at a

Let’s look at how the open model Gemma has progressed across its last three versions. - Gemma 4 ranks 100 places above Gemma 3 - Gemma 3 ranks 87 above Gemma 2 All three models from Google DeepMind are roughly the same size (31B, 27B, 27B), and these gains came only 9 and 13

Edge devices will get their own offline local model with this. Now your phone , desktop / laptops can have in-built reasoning / coding model, all running offline. Many new use cases will come. Who needs specialised SLMs for edge devices any longer, when LLMs are getting this

grantex.dev/gemma — offline-first auth for edge AI agents. On-device agents (Google Gemma, local LLMs) can't keep making server calls to verify permissions. So we built consent

Great initiative and work by Pine Labs One of the reasons that corporate AI pilot fails in agentic environment are due to standards and procedures not embedded into agent.

Lots of love for Gemma 4! Team just told me it’s already had 10M+ downloads since last week’s launch. Gemma models have now been downloaded 500M+ times! Excited to see what you all are creating 👀

Aggressive prediction: the CEOs like jack and tobi lutke who are slinging code and open source and all the way at the edge are leading from the front. Their companies will make it Others still in manager mode? Oof maybe less so

'Agents will need identity': Pine Labs CTO on the missing layer in Agentic AI techcircle.in/2026/04/21/-ag… #TechCircleIndia via TechCircle