AI red lines in Washington

モデル開発で新しい論点が浮上

According to the Financial Times, OpenAI disbanded its preparedness team at the end of last month. The job of the preparedness team was to assess if models posed serious risks and develop ways to mitigate those risks. (You know, like the possibility that it could go rogue and hack another company.) According to FT, responsibility […]

開発者向けツールで新しい論点が浮上

How will the watermarking actually work? Can it be hidden with editing? And how does this affect code?

Hacker News AIで開発ツールの新提案

Like any side project, Remarc started with my own problem: there was no good way to give AI coding agents contextual feedback on their own output. There are plenty of tools for collaborating with humans, but surprisingly few for collaborating with AI. Chat was not cutting it for the feedback I wanted to give: This thing in the implementation plan? Change it to that. What did you mean here? See this button? Here is a screenshot. I circled it because it is missing a hover state. This sentence in the third paragraph? Rephrase it. If you are an opinionated builder, this gets clunky quickly. You either dictate paragraphs of messy feedback or resolve every detail one by one. AI is good at parsing mess, but garbage in, garbage out still applies. I could get products to 90% quickly. The last 10% of feedback and polish was the bottleneck. So I built Remarc. Remarc lets you select text in any Mac app, capture and annotate a screenshot, or comment on a web element. Each comment keeps its original context, status, and session. A connected agent can read the session, work through it, update statuses, and leave resolution summaries over MCP. Think of it like leaving comments on a google doc vs sending a long rambling feedback note via Slack - the more granular you get with your feedback, the more it benefits from structure & better context. $0. Remarc is free and open source, with no account, subscription, or telemetry. It requires macOS 14 or later. Download: https://remarc.app Source: https://github.com/metedata/Remarc

Latent Spaceで開発ツールの新提案

Flue 2 takes its inspiration from React. Creator Fred Schott, of Astro fame, tells Latent Space why he added hooks and why agents are defined by their harnesses.

Memories、新しい論点が浮上

Mice can access memories after hibernation, a state that largely shuts their brains off and reduces synapses, suggesting that memories are stored across shifting neural systems.