Future — Data & AI.
I took the red pill.
Notas, prototipos y campo abierto. Construyendo sistemas que piensen con nosotros, no por nosotros.
Agent governance is usually discussed as doctrine. We took it to a test bench: a ~200-line gatekeeper, warm-forked microVMs, and four models unknowingly trying to break the rules. The numbers, the prompt-injection matrix, and the two leaks that taught us the most.
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Agent runtimes converged on the same architecture and nearly the same price. The interesting question is no longer which one to buy: it is what the one you already have actually enforces, and where the part you have to build yourself begins.
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Altman says we’re already inside the singularity. We separate the three creatures sharing one label: the real singularity of physics, AI’s borrowed metaphor, and science fiction’s quantum stage prop.
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Amodei clarifies that Anthropic never asked for open-weights models to be banned. His post is more reasonable than the headlines suggested — and even so, the real argument is elsewhere: do we want a hyper-efficient monoculture, or a seed vault?
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Ng’s four patterns are still the right vocabulary, but the real axis in agent architecture isn’t how many agents you have — it’s where the state lives. An honest walk from loops to graphs, and what has changed since 2024.
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The impression and the signal: three Claudes, a century and a half, and one shared question — when we communicate something, what exactly are we transmitting?
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Una post cada vez que hay algo que valga la pena. Sin métricas, sin trucos. Solo notas honestas from el borde.