Categories: FAANG

Why AI Doesn’t Need Your Content — And What It Actually Needs Instead

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Ask most people what makes content valuable to AI right now, and you’ll get some version of the same answer: write more, write well, write…

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Language models can explain neurons in language models

We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2.

May 10, 2023

In "FAANG"

How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) primitives, modern MLE agents are deployed on top of increasingly elaborate machinery: multi-agent orchestrators, dedicated retrieval subagents, and more. While such harnesses…

October 2, 2026

In "FAANG"

SQUIRE: Interactive UI Authoring via Slot QUery Intermediate REpresentations

Frontend developers create UI prototypes to evaluate alternatives, which is a time-consuming process of repeated iteration and refinement. Generative AI code assistants enable rapid prototyping simply by prompting through a chat interface rather than writing code. However, while this interaction gives developers flexibility since they can write any prompt they…

April 7, 2026

In "FAANG"

AI Generated Robotic Content