OpenAI desarrolla una IA que trabaja sola durante días enteros
OpenAI está desarrollando un agente de IA que puede trabajar por horas o días sin intervención humana constante. Un reporte señala que esta función estaría disponible en Codex y permitiría mantener activos a los agentes hasta que decidas ponerlos en modo de suspensión.
OpenAI está desarrollando un agente de IA que puede trabajar por horas o días sin intervención humana constante. Un reporte señala que esta función estaría disponible en Codex y permitiría mantener activos a los agentes hasta que decidas ponerlos en modo de suspensión.
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En contexto
- Tema: Inteligencia Artificial — IA aplicada al negocio: casos, límites, costos y gobierno.
- Fuente: Hipertextual
- Publicado: 27/08/2026
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Why it matters
The conversation about artificial intelligence has become noisy, and that makes it harder to see what matters. What matters is rarely the model. It is which concrete process ends up cheaper, faster or more reliable, and who is accountable when the answer comes out wrong.
The first thing I look at is not model capability but the data feeding it. Almost every project I have seen fail did not fail on the algorithm. It failed because the data lived in three systems with three different definitions and nobody wanted to be the one to fix that.
What usually goes wrong
The point where it usually breaks is the handover to operations. The team that built the pilot knows how to read the results; the team receiving it does not. Without training and written criteria, people start accepting everything the model says or ignoring it entirely, and both are equally expensive.
What to watch
- Where the data ends up and under what contract, especially when customer information is involved.
- Whether the organisation can change provider without rebuilding everything, which is the proof it did not get locked in.
- Which concrete process is touched and how it is measured before and after; with no baseline there is no result, only opinion.
How I read this entry
I would use it for a talent conversation rather than a purchasing one. The capability that needs installing is not operating a tool, which changes every six months, but framing the problem well and judging the answer. That one stays in the house.
The original story is published in another language; the excerpt is quoted as the publisher delivers it and the commentary is written in English.
Living through this in your own team?
Open the chat and tell me how you're handling it. I'm interested in comparing notes.