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An agent's identity shifts with every context. Every prompt. Every data source. So who's actually accountable for what it does? The answer isn't in the agent. It's in the human behind it. Like a surname that carries the weight of everything done under it.

Billions Network

507,409 subscribers

38,305 次观看 • 5 个月前 •via X (Twitter)

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193,219 次观看 • 4 个月前

Modi can't even lie convincingly anymore—his body language crumbles under the weight of his own falsehoods. Every word he utters reeks of deception. It's astonishing that a man so transparent in his theatrics ...... What a tragic joke—and what a costly illusion for the indian people who believed in it.

Modi can't even lie convincingly anymore—his body language crumbles under the weight of his own falsehoods. Every word he utters reeks of deception. It's astonishing that a man so transparent in his theatrics ...... What a tragic joke—and what a costly illusion for the indian people who believed in it.

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471,489 次观看 • 1 年前

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Demo 2: human + agent design loop inside Codex. Not every workflow needs the agent to drive everything. You design in Open Design. Codex reviews the output. It can inspect files, open pages, test interactions, critique the design, and turn feedback into the next prompt. Design becomes a human + agent feedback loop.

Demo 2: human + agent design loop inside Codex. Not every workflow needs the agent to drive everything. You design in Open Design. Codex reviews the output. It can inspect files, open pages, test interactions, critique the design, and turn feedback into the next prompt. Design becomes a human + agent feedback loop.

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MIT HANDED ITS DEEP LEARNING COURSE TO A FRONTIER-LAB ENGINEER FOR 68 MINUTES BECAUSE 90% OF PEOPLE SHIPPING AI CODE CAN'T EXPLAIN HOW THE MODEL ACTUALLY WORKS This is Maxime Labonne. He runs post-training at Liquid AI and wrote the LLM Engineer's Handbook. MIT gave him the room to break down the engine sitting inside every coding agent you've ever prompted. Twenty minutes in it stops being abstract. You finally see why the model confidently invents things that don't exist, why context is everything, and why "Just tell it to try again" sometimes fixes it and sometimes makes it worse. In 2026 "I use AI to code" stopped being a skill. Knowing why the model behaves the way it does -> tokens, context, post-training, where it quietly breaks -> is what separates someone who ships from someone babysitting a black box. Understanding an LLM isn't a research-team luxury anymore -> it's the difference between driving the agent and being driven by it. Anyone can prompt. The person who knows what's under the hood is the one still standing when the prompt stops working. Save this one & actually finish it ↓

slash1s

236,758 次观看 • 2 个月前

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David Roberts

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Arteta on what gives him the belief that Arsenal can go one step further this season: “It gives me the confidence that what we've done up to now every single day and that's the biggest reassurance to do it in every competition. “The manner we've done it with all the challenges that we faced already, it gives me confidence because it's the way we prepare. “I don't get the confidence for the things that I imagine. It's for the things that I see every day and the preparation and how much the player want it and we are where we want to be that’s for sure.”

Connor Humm

20,335 次观看 • 5 个月前