We Didn’t Build the Master Algorithm. We Built an Orchestra.
This week everyone was watching GPT-6 and Opus 5.5. What made me stop was a model that doesn’t write a single word, and it sent me back to Pedro Domingos’s The Master Algorithm.
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62.7 and 99.9: same model, same exam, two scores
OpenAI published 99.9% on ARC-AGI-3 for GPT-6 Astra. ARC Prize measured 62.7% the same day. The difference is the harness, and it explains why benchmark tables no longer compare models.
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The Creature No Longer Waits in Line: dynamic workflows and the jump from chain to graph
Claude Code writes the orchestration script, launches a fleet of subagents, and the coordination doesn’t cost a single token. Third installment: from the loop to a graph that runs itself.
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Google’s new SDLC, layer by layer: the framework holds, the numbers don’t
Google published a 51-page whitepaper on the new software lifecycle with vibe coding. The conceptual framework — the spectrum, Agent = Model + Harness, the factory model — is excellent. The statistical apparatus collapses at the first question. A layer-by-layer review, with all nine headline figures traced to their primary sources.
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The bottleneck moved: AI now writes viruses that work
Sixteen bacteriophages designed by a generative model infected and killed E. coli. The danger isn’t the machine that writes genomes: it’s that the lock protecting us was on a different door, and it has spent years recognising faces.
