The Language Model Too Dangerous to Release

The Language Model Too Dangerous to Release

OpenAI recently created a cutting-edge new natural language processing model, but unlike all their other projects so far, they have not released it to the public. Why? It seems to be a little too good. It can answer reading comprehension questions, summarize text, translate from one language to another, and generate realistic fake text. This last case, in particular, raised concerns inside OpenAI that the raw model could be dangerous if bad actors had access to it, so researchers will spend the next six months studying the model (and reading comments from you, if you have strong opinions here) to decide what to do next. Regardless of where this lands from a policy perspective, it’s an impressive model and the snippets of released auto-generated text are quite impressive. We’re covering the methodology, the results, and a bit of the policy implications in our episode this week.

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Episoder(309)

How Do You Evaluate An AI Agent? (The Agents Season, Episode 7)

How Do You Evaluate An AI Agent? (The Agents Season, Episode 7)

Knowing when an AI agent has failed sounds straightforward — until it isn't. Agents have a frustrating habit of finishing confidently while quietly doing the wrong thing, or looping endlessly without ...

1 Jun 31min

AI Agent Failure Modes (The Agents Season, Episode 6)

AI Agent Failure Modes (The Agents Season, Episode 6)

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25 Mai 32min

Agentic Planning (The Agents Season, Episode 5)

Agentic Planning (The Agents Season, Episode 5)

When tackling a complex, multi-step task, even the smartest AI agent can fail without a solid game plan. This episode dives into the research around agentic planning — how agents move beyond simply re...

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Memory Management for AI Agents (The Agents Season, Episode 4)

Memory Management for AI Agents (The Agents Season, Episode 4)

Context windows are powerful — but finite, and surprisingly easy to overwhelm. When an AI agent is tackling a long, complex task, the information it needs has to fit inside that limited real estate, a...

10 Mai 24min

Lost in the Middle (The Agents Season, Episode 3)

Lost in the Middle (The Agents Season, Episode 3)

Just like a memorable talk lives or dies by its opening and closing, LLMs have a surprisingly similar quirk: they pay close attention to what's at the beginning and end of their context window — and k...

4 Mai 19min

ReAct and Tool Usage (The Agents Season, Episode 2)

ReAct and Tool Usage (The Agents Season, Episode 2)

Before 2022, there was a wall between AI and the real world — models could reason impressively, but couldn't look anything up, run code, or check whether anything they said was actually true. This epi...

27 Apr 23min

What's an AI Agent? And Why's That Hard to Define? (The Agents Season, Episode 1)

What's an AI Agent? And Why's That Hard to Define? (The Agents Season, Episode 1)

AI agents are having a moment — and unpacking them properly takes more than a single conversation. This episode kicks off a dedicated multi-part season exploring AI agents from every angle, building u...

20 Apr 19min

Unfaithful Chain of Thought

Unfaithful Chain of Thought

What's actually happening when an LLM "thinks out loud"? Research on human decision-making suggests that much of the reasoning we believe drives our choices is actually post hoc rationalization — we d...

13 Apr 24min

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