Alibaba Announces Qwen3.8: A 2.4T Parameter Open-Weight Powerhouse
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Alibaba announces Qwen3.8, a 2.4T parameter open-weight model that rivals top frontier AI.
Research and analysis of neural scaling laws — the empirical relationships between model size, dataset size, compute budget, and performance (e.g., Chinchilla scaling, Kaplan laws, compute-optimal training).
Alibaba announces Qwen3.8, a 2.4T parameter open-weight model that rivals top frontier AI.

Sakana AI's new RSI Lab aims to create autonomous, self-improving AI systems that thrive on efficiency rather than massive computational power.

In a data-constrained era, the real lever isn’t more GPUs but better data and architectures that maximize each token’s value.