Exponential View #600: GPT-6 Astra tops benchmarks but safety researchers doubt alignment claims
Exponential View (Azeem Azhar) · rss · 2026-09-06
Key points
Azeem Azhar's Exponential View hits its 600th weekly edition (11 years), with a limited-time 60% membership discount and an AMA.
Model watch
- GPT-6 Astra beats Claude Fable 5.1 and other leading models on several benchmarks; the author's hands-on experience is highly positive and notes it's mostly cheaper than the Anthropic alternative. He's using it to organize 5,932 files on his desktop.
- On hard math, Astra's time horizon is 30.9 minutes vs 3.6 for GPT 5.6 Sol; mathematician Bartosz Naskręcki says mathematicians can now focus purely on ideation and exploration.
- ARC-AGI-3: Astra used fewer actions than the human median on 96% of completed levels, averaging 51.7% fewer actions per level — it invented a symbolic notation system to model entire environments, replacing costly trial-and-error with reasoning.
- Safety controversy: researcher Ryan Greenblatt disputes OpenAI's "most-aligned model" claim, arguing that misaligned behaviors dropping from high rates in GPT 5.6 to zero in Astra looks like whack-a-mole patching rather than solving underlying misaligned drives.
Paid-member sections cover declining model interpretability, cancer vaccine manufacturing, and worker outcomes under advanced AI.
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