The Gemma series is an amazing set of highly performant open-weight models. They have proven extremely effective in industrial settings wher…

The Gemma series is an amazing set of highly performant open-weight models. They have proven extremely effective in industrial settings where site-deployed agents need exactly this as a base for domain-specific fine-tuning that even Fable-class models cannot match in accuracy. Presumably the Gemma team has been excellent at “distilling” from the Gemini-class models to get such capabilities. This is a $25T category. Remember, the “frontier” is not spherical. It is extremely jagged, and it isn’t just among the trillion-parameter group. Very much agree with this letter. 3 years ago we started Gemma aligned with this vision, that building a thriving open weight model ecosystem was critical and likely a huge component of our future industry. Today we continue to invest and push Gemma to be maximally useful for dev…

🧠 Introducing NeuralBench: a unified, open-source framework to benchmark NeuroAI models. v1.0: 36 EEG tasks, 94 datasets, task-specific + f…
Nice stats on usage of open models across OpenCode. GLM-5.2 is still underrated, but one of the models that has really surprised me on agent…
Another proof point for the open-weights thesis. From @RampLabs: 'If we built this again, we'd lean more on open-weight models.' Ramp pointe…
I put together a new article on setting up local coding agents with open-weight models. Everything runs 100% locally. I thought it might be …

Source: Yann LeCun (X) | 2026-07-25

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