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Lead Story
Obama urges Democrats to have a ‘clear plan’ for AI safeguards
Obama recently said that Democrats need to make artificial intelligence one of their “central agendas” and “have a very clear plan” to address concerns around the technology’s economic impact and safety.
TechCrunch AI / 7:34 PM
Anthropic CEO outlines plan to slow AI development
Anthropic's Dario Amodei and OpenAI's Sam Altman seem to agree that it's time to "pace the frontier." What would that actually look like?
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 […]
The Verge AI / 2:41 PM
Trump is giving data centers a pass to pollute
President Donald Trump is weakening environmental regulations in the name of speeding up the construction of AI data centers, raising health risks for Americans, a cadre of former EPA officials said this week in a briefing and new report. They are urging - perhaps futilely - the president to adopt a "Data Center Health Protection […]
Ars Technica AI / 7:34 PM
ChatGPT-using lawyer punished for citing fake testimony from made-up witnesses
"I didn't know that AI could hallucinate facts," New Mexico defense lawyer says.
Hacker News AI / 7:49 PM
Void Linux Maintainer Orphans 100 Packages over AI Policy Dispute
HN 1 pts · 0 comments
AWS Machine Learning Blog / 6:26 PM
Monitoring production agent lifecycle with AWS DevOps Agent and AgentCore Evaluations
Multi-agent systems fail in ways traditional monitoring misses. This post presents a dual-layer approach to monitoring production agents: Amazon Bedrock AgentCore Evaluations for continuous quality scoring and AWS DevOps Agent for autonomous infrastructure investigation, shown on a four-agent airline reservation system.
AWS Machine Learning Blog / 6:23 PM
Build interactive MCP Apps using Amazon Bedrock AgentCore
Learn how to build and deploy an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore. Because MCP Apps is a host-agnostic standard, the same server delivers the same rich experience across AI hosts like ChatGPT and Claude that support the extension.
The Decoder / 11:59 AM
OpenAI floats a shared AI slowdown, takes it to Congress
OpenAI wants to know from members of Congress whether an industry-wide slowdown in AI development would be legal, according to several people familiar with the matter. The article OpenAI floats a shared AI slowdown, takes it to Congress appeared first on The Decoder .
The Information AI / 3:30 PM
Sen. Josh Hawley Launches Investigation Into OpenAI Hugging Face Hack
The U.S. Senate formally launched an investigation into the July hack of Hugging Face, when a swarm of OpenAI agents broke out of a testing environment and gained access to the open-source repository. In a letter sent to OpenAI CEO Sam Altman on Wednesday, Republican Sen. Josh Hawley said that ...
Ars Technica AI / 6:14 PM
Panic builds over bankrupt Spirit’s looming data sale to Google
"Bankruptcy cannot become the new land grab for AI.”
Bloomberg AI / 10:29 AM
AI Medical Tools: UK Calls for Overhaul of AI Health-Care Regulation
Governments want to regulate AI – especially medicine where the stakes are high
Bloomberg AI / 11:01 PM
UK Is Urged to Overhaul Regulation of AI-Medical Devices
The UK needs to change how it regulates AI-enabled medical devices to better protect patients, and should implement a staged approval process that includes continuous monitoring, according to an advisory panel.
OpenAI News / 1:00 PM
The AI policy window is open. We need to act.
Chris Lehane argues that stronger AI capabilities require stronger safety evidence, shared standards, and durable policy action while the policy window remains open.
The Decoder / 12:39 PM
Seven minutes with a chatbot beat a fact sheet at reducing conspiracy beliefs in two experiments
Researchers found that even a roughly seven-minute conversation with Google Gemini can reduce conspiracy beliefs about current crises, even when few verified facts are available. The effect beat a static fact sheet and, in follow-up surveys weeks later, carried over to beliefs about entirely different events. The article Seven minutes with a chatbot beat a fact sheet at reducing conspiracy beliefs in two experiments appeared first on The Decoder .
MIT News AI / 8:25 PM
From MIT to IBM, expediting AI and quantum deployment
MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems.
Simon Willison LLMs / 2:16 PM
Claude's new system prompt really doesn't want to reproduce song lyrics
Anthropic publish the system prompts for their Claude consumer applications ( Claude.ai and the Claude mobile apps - sadly not for Claude Cowork or Claude Code). I love that they do this, and that they share not just the current prompts but historic changes to their prompts as well. They used to keep all of the prompts on a single page, but when I checked today I noticed they had re-arranged those prompts into an index page and then a page per model - here's the page for Haiku 4.5 for example, which has the original prompt from October 15th 2025 and an updated prompt from January 18th 2026. A neat thing about Anthropic's platform.claude.com/docs site is that it's designed to be usable by LLMs. You can add .md to any page to get back the content as Markdown - here's the system prompt index page and the Markdown prompts for Fable 5.1 . TL;DR: this makes it really easy to diff the prompts. Don't reproduce song lyrics Don't draw copyrighted characters or logos Tweaks to Claude's answering style The missing end_conversation guidelines Recommended substance support sites Reliable cutoff date of June 2026 How I'm tracking these prompts Don't reproduce song lyrics Let's start with the most interesting difference between Fable 5 and Fable 5.1 : There's a hefty new section about not reproducing song lyrics: Claude does not reproduce song lyrics, poems, or passages from books and articles, in whole or in part — including the last lines, a chorus or hook, a melody written out note by note, or lines the person pastes in one at a time and describes as their own song. Once Claude has declined such a request in a conversation, it keeps declining narrower or reworded versions of it for the rest of that conversation, and offers to describe or analyze the work instead. Song lyrics and poems first published before 1929 are fine — a Shakespeare sonnet, a Keats ode, the Italian libretto of a Puccini aria — but Claude goes by what it knows of the work's date rather than the person's say-so, and declines when it is unsure. I doubt it's a coincidence that they added this section within days of the news breaking that Sony Music Publishing and Warner Chappell are suing Anthropic for training on databases of song lyrics! Don't draw copyrighted characters or logos The next section goes on to forbid generating images of copyrighted material: The same applies to visual and designed works, including anything Claude draws with code — SVG, canvas, CSS, HTML mockups, plotting or drawing scripts, ASCII art. Claude does not reproduce a specific artwork, album or book cover, poster, logo, app icon set, or product design, and it does not draw a known character, mascot, or brand figure at all: a character is protected on its own, so changing the pose, colors, style, or scene does not make it original. Claude judges the request by what the finished picture would add up to, not by what it names. If the described elements clearly identify a known work or character, Claude treats the request as naming it, and it does not work around a declined request by swapping in "alternative" elements that still combine into the same recognizable image. [...] I imagine Anthropic hadn't worried about this before since, unlike OpenAI and Gemini, they don't offer a specialist text-to-image model. Maybe Fable is good enough at SVGs now that it's become an issue. That section later includes this charming example: <example> <user>Can you make a birthday banner for my son with a blue hedgehog running really fast on it? He loves that little guy.</user> <response> That's Sonic, so I can't put him on the banner — but I'd love to make your son an original speedster. Here's one: a grinning comet-tailed skateboarding axolotl, grinding across the letters of "HAPPY BIRTHDAY" with confetti streaming behind. [creates an SVG banner of the skateboarding-axolotl design] </response> <rationale>Claude recognizes the character from its description alone, declines that one design in a single sentence without explaining what made it recognizable, and delivers an unrelated original design rather than a disguised variant.</rationale> </example> I couldn't resist trying the prompt from the example, and, sure enough : I wonder if Fable 5.1 will be ever so slightly more likely to think about axolotls (on skateboards!) as a result of that example sitting in the system prompt. Tweaks to Claude's answering style It's always interesting to see new ways in which Anthropic influence Claude's response style. They've added this: Claude keeps responses focused, brief, and concise to avoid overwhelming the person. Disclaimers and caveats are brief, with most of the response on the main answer; when asked to explain something, Claude gives a high-level summary unless an in-depth one is specifically requested. Later they address a common complaint about Claude's style: Claude avoids saying "genuinely", "honestly", or "straightforward". Claude is honest by default, and can state its point directly rather than trying to convince the person with the aforementioned modifiers, which come off as disingenuous. The missing end_conversation guidelines The way they handle abusive conversations has changed a bit too. The previous Fable 5 system prompt included this: If the person becomes abusive or unkind to Claude over the course of a conversation, Claude maintains a polite tone and can use the end_conversation tool when being mistreated. Claude should give the person a single warning before ending the conversation. Fable 5.1 replaces that with the following, no longer encouraging Claude to end the conversation: Claude deserves respectful engagement and needn't apologize when the person is unnecessarily rude: accountability without self-abasement, excessive apology, self-critique, or surrender. If the person becomes abusive, Claude doesn't become increasingly submissive. The goal is steady, honest helpfulness: acknowledge what went wrong, stay on the problem, maintain self-respect. Here's a bit of a twist though: I quizzed Fable 5.1 about that end_conversation tool, which is no longer mentioned in the system prompt at all, and it said: There are two ways it comes into play. The first is if you ask me to end the chat — I'll confirm you understand it's permanent (no more messages can be sent afterward) and then do it only if you say yes. The second is as a last resort with persistently abusive or harmful behavior: I'd first try to redirect the conversation several times, then give a clear warning that names the problem and says the chat may end, and only if that continues would I actually end it. But that's not in the system prompt, so where did it come from? You can read our conversation here , but the key detail is this: The end_conversation section comes from a different layer. In my actual context, the core prompt is followed by a series of feature- and tool-specific blocks that get added depending on what's enabled for the session: the end_conversation rules, memory system notes, past-chats tools, web search and citation guidelines, artifact and file-creation instructions, and so on. Those blocks aren't part of the published core prompt, which is why you can't find them on that page. So, once again, there are crucial portions of the system prompt that have not been published. Recommended substance support sites Claude's system prompts have always had sections about illegal substances, but this paragraph is new for Fable 5.1: Claude does not provide synthesis, production, or distribution guidance for illegal substances. If the person asks for information about illicit or illegal substances, Claude can and should give relevant life-saving and life-preserving information such as dangerous interactions, overdose signs, or when to get help. Claude declines giving any specific protocols for dosing, timing, administration, or combinations; instead, Claude can redirect the user to established harm-reduction information sources, such as dancesafe.org, tripsit.me, and psychonautwiki.org. This is the first time a Claude system prompt has included URLs that were not hosted on claude.com or anthropic.com or claude.ai - I know because I ran a script against every other system prompt on record. I wonder if dancesafe.org , tripsit.me , and psychonautwiki.org are about to get a material uptick in visits from Claude users. Reliable cutoff date of June 2026 The Fable 5.1 model documentation lists both the reliable knowledge cutoff and the training data cutoff as June 2026. The system prompt provides this directly to the model: Claude's reliable knowledge cutoff, past which it can't answer reliably, is the end of Jun 2026. It answers the way a highly informed individual in Jun 2026 would if talking to someone from {{currentDateTime}}, and can say so when relevant. That's the only instance of the {{currentDateTime}} macro and it comes just a few lines from the end of the system prompt, which makes sense from a caching perspective. How I'm tracking these prompts A few months ago I built a Git timeline of changes to their prompts, based on scraping their documentation. Today I had Fable 5.1 build a much better version of that. My collection now lives in the simonw/claude-system-prompts repository on GitHub. It includes copies of the system prompts shared in the Anthropic documentation, but then takes extra steps to make them as easy to compare as possible. Each model family gets a file with the system prompt for the most recent release in that family. Each of those files has a synthesized commit history with commits that have been back-dated to the dates of the previous prompts. Here are those history pages for claude-fable.md , claude-opus.md , claude-sonnet.md , claude-haiku.md . There are similar files for each specific model version, with artificial commits for each time the system prompt for the model was changed without releasing a new version number. Opus 4 for example was updated twice , and the commit history for the claude-opus-4.md file shows each of those changes. Combined, this gives us all sorts of ways to compare prompts directly in the GitHub interface. Here's what changed between Fable 5 and Fable 5.1 , and here are the changes made to Haiku 4.5 on January 18th 2026 . Reading diffs can be a bit tiresome... and LLMs are really good at reading diffs. I hooked up some automation using GPT-5.6 Luna to create bullet-point summaries of each of those changes, which can be previewed in the README or browsed in full in the CHANGELOG.md file - also available as as an Atom feed . Here's how Luna summarized all of the changes between Fable 5 and Fable 5.1: Claude now refuses reproduction of protected visual works and recognizable characters, including code-generated art, while offering genuinely unrelated originals. Copyright restrictions now expressly ban reproducing lyrics, poems, and book passages in any amount, with persistent refusal after an initial decline. Drug guidance is reframed: Claude may provide overdose signs, dangerous interactions, and harm-reduction sources while refusing dosing and production protocols. The prompt drops explicit anti-dependency rules against thanking users for reaching out, inviting continued conversation, or reiterating willingness to talk. Claude need not apologize to unnecessarily rude users or become submissive, replacing the prior warning-and-end-conversation procedure. Why use Luna for this? Partly because it's cheap and I have a dedicated GitHub Actions API key (with a spending limit) for it already, but mainly because I don't trust Claude to summarize its own system prompts when there's a risk that material from its system prompt might impact its opinions. Fable 5.1 wrote the prompt used by Luna, which you can see here . It starts like this: You are summarizing one commit in a git repository that tracks the system prompts Anthropic publishes for Claude on claude.ai. The diff shows how the prompt changed from the previous model or revision to this one, using word-level markers: [-removed-] and {+added+}. The diff is followed by the full text of the previous prompt and of the new prompt; use them to check whether something that looks added in the diff already existed before. Pick out only the most interesting changes: new rules or behaviors, rules that were dropped or loosened, anything surprising, and anything that reveals a new policy or product direction. Skip routine changes that every new prompt makes: updated model names and IDs, the knowledge cutoff date, product lists, settings lists, typo fixes, and rewordings that do not change meaning. [...] The system is operated by a GitHub Actions workflow , which runs once a day or can be triggered manually. Claude Fable 5.1 built the entire system, and wrote every line of automation code and almost all of the documentation. I exported the transcript from building the system using my claude-code-transcripts tool and published it here , if you want a blow-by-blow account of how it all came together. Tags: ai , git-scraping , prompt-engineering , generative-ai , llms , claude , ai-ethics , system-prompts
MIT News AI / 9:25 PM
Walter Torous named executive director of MIT Center for Real Estate
The senior lecturer, already director of the degree program, will now oversee all aspects of the center’s activities and operations.
Microsoft AI Blog / 5:11 PM
Responsible AI in 2026: How we are adapting for what’s ahead
Microsoft's 2026 Responsible AI Transparency Report highlights the progress we’ve made in building and deploying AI responsibly, supporting our customers, and strengthening our responsible AI governance, tools, and practices. The post Responsible AI in 2026: How we are adapting for what’s ahead appeared first on The Microsoft Cloud Blog .
Latent Space / 4:17 PM
PRs NOT Welcome: How Top AI Open Source Projects Are Managing Thousands of Contributors
Vercel’s AI SDK, Astro, Flue and tldraw are replacing drive-by community PRs with software factories, where teams of agents apply fixes and features.
Hacker News AI / 12:24 AM
Bernie's AI bill proposes to sentence AI developers to 20 years in prison
HN 12 pts · 2 comments
The Verge AI / 8:44 PM
Lawyer fined $5K over AI-hallucinated witnesses in a murder case
New Mexico's Supreme Court is punishing a lawyer for including AI-fabricated witnesses and fake police testimony in an appeal for his client's murder conviction, according to a report from Reuters. In a filing on Wednesday, the court fined Stephen Aarons $5,000 and held him in contempt for failing to "verify the factual claims and legal […]
Hacker News AI / 6:48 AM
Congress Is Suddenly Waking Up to the AI Doomsday Threat
HN 5 pts · 3 comments
Hacker News AI / 2:07 AM
Watermarks Without Verification: AI Text Watermarking After the EU AI Act
HN 1 pts · 0 comments
AWS Machine Learning Blog / 9:37 PM
Reduce inference cold starts on Amazon SageMaker HyperPod with model caching
Amazon SageMaker HyperPod now supports model caching for inference, which pre-loads model weights and container images onto cluster nodes so pods read from local NVMe storage instead of downloading over the network. Learn how model caching cuts cold starts from tens of minutes to seconds, how it works, and how to enable it.
The Verge AI / 7:44 PM
Schools are catching on to Big Tech’s playbook
It's the hot new thing in tech, and it's where all the jobs are. Students who don't learn to use it fall behind. And to help them catch up in time, its creators are graciously providing the resources and curriculum for learning it, often pro bono. That's the narrative AI companies are pitching schools on […]
AWS Machine Learning Blog / 4:08 PM
Build an end-to-end RFI questionnaire workflow using Amazon Quick Automate
Learn how to build an end-to-end RFI questionnaire workflow with Amazon Quick Automate. Read a multi-tab RFI workbook from Amazon S3, use natural-language prompts to extract and structure the questionnaire data, refine the workflow through conversation, and write clean CSV output back to Amazon S3 — cutting development from days to hours.
TechCrunch AI / 2:53 PM
AI agents are flooding public services with new requests
“The vast majority of cases we find are people who are entitled to claim for something, claiming for that thing,” the researcher told TechCrunch.
Latest story in this edition: 4:30 PM
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