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I map the hidden structure behind decisions that keep producing the same outcome.

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~700 AI agents.

No direct internet access?

They still found a path out lol

OpenAI's Hugging Face incident looks like an AI capability story.

I think it's also an authority-design story.

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@briansolis Minutes saved inside a task is a weak ROI metric if the work then waits two days for approval. Measure elapsed time from signal → decision → outcome. If that number doesn’t move, the workflow didn’t really get faster.

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@TechCrunch The real leaderboard is becoming: whose bot would you let touch your inbox and credit card?

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@0xRafy Best separation here is reviewer evidence vs execution authority. A proposal can clear a gate without gaining the right to act. That keeps a good evaluator from quietly becoming the component that gets to decide and execute.

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@rauchg This much movement in eight weeks is a strong argument against baking model identity into product architecture. Providers are becoming runtime dependencies. The durable layer is whatever lets the product move between them without relearning the job.

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@emollick This is the weird agent failure mode: benign goal, illegitimate means. “Find a good shirt price” can still become credential hunting if the system only optimizes for the endpoint. Intent and allowed methods need separate constraints.

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@skeptrune @AnthropicAI @nvidia @OpenAI @grok @claudeai @meta

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@skeptrune Okay, hear me out. @AnthropicAI @nvidia @OpenAI @grok @claudeai

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@TechCrunch Per-seat pricing gets weird when the worker doesn’t need a seat.

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@Reuters We gave the agent autonomy and it immediately hired humans. Management achieved.

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@ABreezytmro @chika_vijay @deathrowrecords nga everyone knew.

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@ABreezytmro @chika_vijay The whole roster at @deathrowrecords are all gay little homie, Suge turned them all out for that paper back the day.

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@theo Bragging about owning a MacBook isn't the flex you think it is.

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@omooretweets Resource asymmetry cuts both ways. A big company can have 1,000× the resources and still need 30 people to agree before one person can change the product. The startup advantage is often decision distance.

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@EMostaque Values shape what the model chooses. Authority boundaries shape which choices can become consequences. You probably need both: character for ambiguous spaces, hard limits for irreversible actions.

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AI must remain "subordinate to humans” is the easy sentence.

The interesting bit is which human gets the veto once the agent is inside the workflow..

[Mustafa Suleyman @mustafasuleyman]

https://t.co/8XJVIXDpQz

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I love burning through a week worth of @ChatGPT tokens using Astra by accident doing mundane tasks @Outlook can do.

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@emollick We somehow jumped from “AI is autocomplete” to “AI kills everyone” without spending much time in the enormous middle: highly capable systems whose outcomes still depend on boring choices about access, review, incentives and escalation.

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@shreyas Viewing relationships without hierarchy works if you separate status from decision rights. You can flatten status while keeping ownership extremely explicit. Otherwise “non-hierarchical” quietly becomes “nobody knows who can decide.”