Fixing Gemma

**Google's Gemma model** was found unstable for finetuning until **Daniel Han from Unsloth AI** fixed 8 bugs, improving its implementation. **Yann LeCun** explained technical details of a pseudo-random bit sequence for adaptive equalizers, while **François Chollet** discussed the low information bandwidth of the human visual system. **Arav Srinivas** reported that **Claude 3 Opus** showed no hallucinations in extensive testing, outperforming **GPT-4** and **Mistral-Large** in benchmarks. Reflections from **Yann LeCun** highlight ongoing AI progress toward human-level intelligence. The community is shifting pipelines to work better with Claude models, and emotional experiences in ML development were shared by **Aidan Clark**.