This Week in AI Progress – On the Way to Another 100X in 22 Months

Key points in rapid AI progress,

A secretive “ox alpha” model (widely suspected to be the latest Chinese GLM open-source model) shows strong coding gains (~80% on a tough benchmark vs. the 60s for Claude/GPT-style models).

Nvidia + a new “harness” hit a perfect 100% on ARC-AGI-3.

Intelligence-density progress Chinese Qwen-style 27B models already match much larger (near-2T-parameter) models on some scores—nearly 1000× fewer parameters. This matches Elon’s “100×” prediction on AI densification. there are paths to potentially another 100× by shrinking to ~1B or hundreds-of-millions parameters while retaining capability.

Practical benefits of smaller models are lower memory/energy/cost, faster inference, easier local/on-device ownership.

xAI/Grok teams reportedly run 10–20 Grok bots each for large productivity multipliers on code changes.

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