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The Information AI / 10:00 PM

AI’s ‘Pacing’ Obsession Misses Real Political Problem

Dario Amodei typically isn’t considered some camera-ready media maestro. His interview quotes aren’t particularly pithy, and he struggles to control his strained facial expressions. But his habit of sending his most high-stakes messages via essays posted on his own website, darioamodei.com , has proven to be a brilliant media strategy. “The medium is the message,” the ubiquitous half-century-old wisdom from scholar Marshall McLuhan, still resonates. The approach conveys authority and diligence, putting Amodei above the fray. Amodei’s latest essay, on Saturday —suggesting that the industry slow down the pace of AI development—set off a weekend full of takes on the tech industry’s preferred medium, X—well-meaning, conspiratorial, annoying, breathless, thought-provoking takes, including nods of agreement from Amodei’s rivals, Sam Altman and Elon Musk . Timing is important here, too, of course. AI doom is dominating the headlines, not just in Washington and Silicon Valley but around the world. (We reported today on discussions underway between the companies).

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The Information AI / 7:16 PM

Anthropic, OpenAI, Google Quietly Discussed an AI Safety Standards Body

Anthropic, OpenAI and Google have been holding discussions about working together to create a standards body for the AI industry, people familiar with the matter said, even before Anthropic CEO Dario Amodei called on Saturday for AI companies to coordinate on testing and auditing the technology. OpenAI CEO Sam Altman, for his part, told staff at a companywide town hall meeting earlier this week that he supported a testing and auditing organization for the AI industry but believed that major AI labs would have to create a standards body on their own without the support of the U.S. government, a person familiar with the comments said.

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Simon Willison LLMs / 11:56 PM

Generating running routes with GPT-6 Astra and ChatGPT Work

Here's a neat thing I had ChatGPT Work with GPT-6 Astra (Max) do this morning: I live at <my address>. Figure out 5K and 10K running routes from me that loop from my house. Use OSM data. It worked for 27 minutes and produced exactly what I'd asked for, as both an embedded visualization and downloadable GPX file and GeoJSON files. Here's that 5K route: When I asked it how it had created the route, it replied: I used Nominatim to locate the address and Overpass to download local OpenStreetMap roads and trails , then calculated the loops locally. Frustratingly, the actual code it ran and exact details of what it did weren't visible to me in the ChatGPT UI. I see this lack of transparency is an anti-feature. By the time I thought to ask for a copy of the Python code it had used, ChatGPT was unable to provide it. This appears to be because the thread had been compacted. I think any LLM system that uses compaction needs to both preserve the pre-compacted text and make that text available via agent tool calls, to protect against this kind of problem. As for displaying the map to me, that used the visualize skill . It created a file called /workspace/el-granada-5k-share.html to embed directly into the ChatGPT UI. Here's a copy of that HTML , which starts like this: < div id =" eg-share-loop " > < div class =" viz-row " > < h3 > El Granada harbor loop </ h3 > < span class =" text-small " > 5.1 km </ span > </ div > < div id =" eg-share-stage " > </ div > < div class =" text-small text-muted " > Map data © < a href =" https://www.openstreetmap.org/copyright " target =" _blank " rel =" noopener " > OpenStreetMap contributors </ a > </ div > < style > # eg-share-loop { width : 100 % ; } # eg-share-loop # eg-share-stage { width : 100 % ; margin : 8 px 0 ; } # eg-share-loop . eg-share-map { display : block; width : 100 % ; touch-action : none; } # eg-share-loop . eg-share-map text { fill : var ( --foreground ); font-size : 12 px ; font-weight : 400 ; } # eg-share-loop . eg-share-label { paint-order : stroke; stroke : var ( --background ); stroke-width : 3 px ; stroke-linejoin : round; } </ style > < script type =" application/json " id =" eg-share-data " > { "route" : { "type" : "LineString" , "coordinates" : [ [ - 122.467425 , 37.4997753 ] . . . </ script > < script src =" https://cdn.jsdelivr.net/npm/[email protected]/dist/d3.min.js " > </ script > < script > (() => { const root=document.getElementById('eg-share-loop'); The <script type="application/json"> element contains the full geometry needed to render both the running route and the map itself, using D3, which is loaded from an allow-listed CDN location described in this section of the visualize skill : External resources The CSP allows only cdnjs.cloudflare.com , esm.sh , cdn.jsdelivr.net , unpkg.com , fonts.googleapis.com , fonts.gstatic.com , and fonts.bunny.net . Other origins are blocked and fail silently. Tags: geospatial , ai , d3 , openai , generative-ai , chatgpt , llms , skills , gpt-6-astra

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The Verge AI / 4:23 PM

Anthropic CEO says it’s time to pump the brakes on AI

Anthropic CEO Dario Amodei says the time has come to slow down AI development and will give third-party evaluators like METR access to its models to help ensure its "adherence to safety practices and commitments." In a winding essay, Amodei proposed a three-step plan to "pace the frontier" - jargon that simply means to slow […]

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The Decoder / 9:27 AM

Two-year university study finds banning AI from classrooms leaves students worse off

A law professor spent two years testing how an AI ban, unguided AI use, and structured training affect student performance. The group without AI finished last both years. "I was wrong," the researcher writes, who had assumed that AI without guidance would do more harm than good. The article Two-year university study finds banning AI from classrooms leaves students worse off appeared first on The Decoder .

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The Decoder / 12:58 PM

Iris-mini and Iris-pro are the strongest open-weight search agents in their class

The AllSpark team has released Iris-mini and Iris-pro, two open-source search agents built on Qwen models that lead benchmarks among open-weight models in their size classes. According to the paper, the training data and models also improved performance on tasks they were never trained for, including general tool use and office work. The article Iris-mini and Iris-pro are the strongest open-weight search agents in their class appeared first on The Decoder .

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The Information AI / 3:00 PM

Nvidia’s Growing Dependence On a Few Big Customers

Nvidia CEO Jensen Huang has very good reason to try to develop new customers by investing in a variety of neocloud and AI firms. For all its success, Nvidia’s sales have become increasingly dependent on a handful of customers&mdash;some of which may cut back their purchases over time. That becomes clear when you look at its own disclosures going back several years, which specify how many customers account for more than 10% of sales. In the first half of this fiscal year, ending in July, three such customers were responsible for 44% of total sales. Last fiscal year, two customers accounted for 36% of total sales. Going back to fiscal 2023, Nvidia had no customers accounting for 10% or more of sales (see the chart below).

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The Information AI / 2:00 PM

Why Amazon and Microsoft Are Taking Communities’ Side Against Utilities

Amazon, Microsoft, Oracle and other AI data center developers are sweetening financial offers to municipalities and regulators to gain approval for new facilities. They’re also getting smarter about standing up for consumers against utilities that have proposed to make the public pay for some of the cost of handling new electricity loads. The tech giants still face years of local fights as activists ignore the money offered and ramp up their objections, but the companies are offering more tangible benefits instead of just refining their messages in information wars.

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GitHub Trending AI / 9:42 AM

thedotmack/claude-mem is trending in AI open source

thedotmack/claude-mem is a GitHub AI repository with 93,813 stars. Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

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