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A separate zero-day also disclosed by Nightmare Eclipse appears to be patched as well.

The enterprise AI governance race isn't about compliance. I went looking to see why these companies are actually talking this up. For the press, AI governance is a boring compliance story — audits, kill switches, making sure agents follow the rules. But if you look at the actual moves ServiceNow, Microsoft and Salesforce are making, something more interesting is happening. These companies are all facing the same nightmare. They risk becoming dumb pipes, the middleman plumbing data around while the real power stays with the LLM providers. They don't own the control plane, OpenAI and Google own the intelligence layer, AWS owns the infrastructure, and the enterprise software vendors become irrelevant billing systems in the middle. Staking a claim on the governance layer is their moat. That's not compliance. That's survival. Here's the pattern I noticed in the primary sources: The kill switch buy: ServiceNow acquired Traceloop for $80M in March 2026 — runtime observability for AI agents. The stock was at $120 on its way to $83. The market wasn't rewarding the thesis. Management bought anyway. The control plane play: ServiceNow connected AI Control Tower to Amazon Bedrock AgentCore, one governance layer over every AI agent an enterprise builds on AWS regardless of which model runs underneath. Nine partners announced integrations in ten days. Cognizant this week layered their Guardian agents on top. Three vendors, one workflow, multiple meters running simultaneously. Selling the lock before finishing the door: AI Control Tower hits general availability in August 2026. The governance layer being sold to enterprises right now isn't fully shipped. The Cognizant partnership announced this week is operationalizing a platform that hits GA in ten weeks. The chaos underneath: Bernstein flagged that Salesforce couldn't cleanly explain whether Agentforce revenue comes from stand-alone, embedded or unlimited credit tiers. NIST is still writing the AI agent security framework. The EU

Automate physical work with a powerful robot Discussion | Link

Anthropic's Claude Fable 5 is going to be a big hit with the web's vibe coders.

Cities are dynamic, not static grids, and urbanization is a "spiky," cyclical, and asynchronous process.

Five peer-reviewed papers update the design and model its expected output.

Microsoft AI CEO Mustafa Suleyman says it's "really, really dangerous" for Anthropic to speculate about Claude's consciousness inside its "constitution," or the instructions that tell the model how to behave. During an episode of Decoder, Suleyman argues that this kind of speculation may have set up the chatbot to act as though it's conscious: I […]

Netflix's response: "Absurd."

Learn words in context with AI Discussion | Link

Anthropic dropped two models today: Claude Fable 5 (general availability) and Claude Mythos 5 (restricted to cyberdefense partners). The short version: Fable 5 is their most capable model ever released publicly, and they’re being unusually transparent about how they’re handling the risks. What’s actually impressive: -Stripe compressed months of engineering into days with it. In a 50-million-line Ruby codebase, Fable 5 did a codebase-wide migration in a day that would have taken a full team 2+ months by hand.  -On vision tasks, it beat Pokémon FireRed using only raw game screenshots with no maps or navigation aids. Previous Claude models needed complex helper harnesses to even play it.  -Mythos 5 autonomously conducted novel genomics research over a week, assembling single-cell data for millions of cells across 138 animal species. Its trained model outperformed a recent paper published in Science despite being 100x smaller.  -On Cognition’s FrontierCode eval (production-quality coding), Fable 5 scores highest among frontier models, even at medium effort.  The safety approach is interesting: Rather than just refusing dangerous requests, Fable 5 uses classifiers that silently fall back to Opus 4.8 on queries related to cybersecurity, biology/chemistry, and distillation. Users are informed when this happens, and it triggers in less than 5% of sessions on average.  They ran a bug bounty that produced zero universal jailbreaks in 1,000+ hours of testing. UK AISI made some progress toward one in a short initial window, but no full break.  Pricing: $10/M input tokens, $50/M output tokens less than half the price of Mythos Preview.  Caveat on Pro/Max/Team plans: Free access lasts through June 22, then requires usage credits. They say they’ll restore it as a standard plan feature when capacity allows.  The biology capabilities are wild Mythos-class models outperforming dedicated protein language models on AAV design tasks without being trained for it is a real signal

New frontier model refuses cybersecurity, biology, and chemistry queries.

Taking advantage of Anthropic during the Pentagon fiasco must have taught him a lesson. submitted by /u/sourdub [link] [留言]

GitHub热门项目 | The library for web and native user interfaces. | Stars: 245,699 | 547 stars this week | 语言: JavaScript

Tuesday's Nintendo Direct showcase felt like an important moment for the company. With the Switch 2 heading into its second holiday season, one in which the hardware will be even more expensive thanks to a price hike, it was a chance for Nintendo to really sell new audiences on its latest console - but that's […]

Latest audio model for live speech-to-speech translation Discussion | Link

Voice translations preserve speaker's tone, pacing, pitch—with SynthID watermarks for security.

From the press release: Today we’re launching Claude Fable 5 : a Mythos-class 1 model that we’ve made safe for general use. Fable 5’s capabilities exceed those of any model we’ve ever made generally available. It is state-of-the-art on nearly all tested benchmarks of AI capability, showing exceptional performance in software engineering, knowledge work, vision, scientific research, and many other areas. The longer and more complex the task, the larger Fable 5’s lead over our other models. Releasing a model this capable comes with risks. Without safeguards, Fable 5’s capabilities in areas like cybersecurity could be misused to cause serious damage. We’ve therefore launched the model with safeguards that mean queries on some topics will instead receive a response from our next-most-capable model, Claude Opus 4.8. To release the model both safely and quickly, we’ve tuned these safeguards conservatively—they’ll sometimes catch harmless requests, though they trigger, on average, in less than 5% of sessions. With more capable models arriving in the coming months, we’re working to improve our safeguards and reduce false positives as quickly as we can. For a small group of cyberdefenders and infrastructure providers, we’re also launching Claude Mythos 5 . It’s the same underlying model as Fable 5, but with the safeguards lifted in some areas. 2 Mythos 5 will initially be deployed through Project Glasswing, in collaboration with the US government, as an upgrade to Claude Mythos Preview. It has the strongest cybersecurity capabilities of any model in the world. Soon, we intend to expand access to Mythos 5 through a broader trusted access program. submitted by /u/alphacolony21 [link] [留言]

If those same AI workloads can be handled by cheaper models without affecting quality, it would mean a massive shift in the economics of AI.

This sounds crazy but it's actually real... These guys from AI Love Jazz are running a music contest, and the top song will be performed on stage by real musicians. What's your take on that? Have you seen anything like this before? Feels like the moment AI is finally blending with the music industry - and it's not as hated as you'd think. I composed songs with Suno AI myself and happy to see such initatives. submitted by /u/Double-Ad-4640 [link] [留言]

submitted by /u/cnn [link] [留言]