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Anthropic’s New Model, The Mythos Wolf, Glasswing and Alignment
Anthropic says its new model is too dangerous to release; there are reasons to be skeptical, but to the extent Anthropic is right, that raises even deeper concerns.
Tennibot launches AI-powered tennis-playing machine with adaptive training features
Niantic Spatial launches two new world models to support real-world AI deployment
General AI
A Look At IREN (NasdaqGS:IREN) Valuation After Its Microsoft AI Pivot And Recent Capital Raises
IREN (NasdaqGS:IREN) is back in focus after its pivot toward AI cloud infrastructure, anchored by a five year, multibillion dollar data center capacity deal with Microsoft, raised fresh questions about execution and funding. See our latest analysis for IREN. At a latest share price of $35.74, IREN has a 1 day share price return of 1.74% and a 7 day share price return of 4.26%. However, the 90 day share price return of 18.07% and year to date share price return of 16.30% point to fading short...
Unionized ProPublica staff are on strike over AI, layoffs, and wages
Unionized staff at ProPublica, one of the country's leading nonprofit newsrooms, are walking off the job for 24 hours beginning Wednesday and asking the public to honor a digital picket line. The roughly 150 members of the ProPublica Guild are in the midst of negotiating a collective bargaining agreement after unionizing in 2023. The union says key issues are still in contention, including protections around the use of AI, "just cause" provisions around disciplining or firing an employee, layoff protections, and wages. "We've been working to resolve this quietly for over two years," says Katie Campbell, a ProPublica Guild member. "This is … Read the full story at The Verge.
AI K-Pop startup Galaxy aims for IPO in Seoul and New York
The goal of the company, which is preparing for what could be the first overseas listing by a K-pop agency, is to create content without the constraint of human performers.
Anthropic debuts preview of powerful new AI model Mythos in new cybersecurity initiative
The new model will be used by a small number of high-profile companies to engage in defensive cybersecurity work.
Palo Alto, CrowdStrike Stocks Pop After Anthropic Announces Partnerships
‘AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities,’ Anthropic says.
Anthropic launches new AI model to help fight cyberattacks
Private AI developer Anthropic (ANTH.PVT) is partnering with an array of Big Tech names for its Project Butterfly cybersecurity initiative that will help combat AI-empowered cyberattacks.Yahoo Finance Tech Editor Dan Howley joins Markets and Data Editor Jared Blikre to break down the headline.
Spotify’s Prompted Playlists can help you find new podcasts to listen to
On Tuesday, Spotify expanded its Prompted Playlists feature to include podcasts, an update that could make it easier for Premium users to find new shows to listen to. Prompted Playlists were originally launched as a beta feature in December, but previously only worked for music. You can use the feature to effectively generate customized Discover Weekly playlists using text prompts to "steer the algorithm" toward specific genres or themes. Tuesday's update allows you to do the same thing with playlists of podcast episodes. The feature is still in beta, though, and is currently only available in English for Premium users in the U.S., Canada … Read the full story at The Verge.
Anthropic launches cybersecurity partnership with Nvidia, Microsoft, other tech giants after latest AI model finds 'thousands' of previously unknown bugs
Anthropic launched a cybersecurity partnership with companies including Amazon, Apple, and Microsoft on Tuesday.
Suno and major music labels reportedly clash over AI music sharing
The AI-powered musicmaker Suno is struggling to reach licensing deals with Universal Music Group and Sony Music Entertainment. That's according to a report from the Financial Times, which says both sides can't agree on whether users should be able to share the AI-generated songs they create. "Universal wants AI-generated tracks to stay inside apps such as Suno and not spread freely across the internet. Suno, however, wants users to be able to share and distribute those songs more widely," the Financial Times reports. Suno, which lets users create AI-generated music with a text prompt, became the subject of a massive copyright lawsuit from U … Read the full story at The Verge.
Google quietly releases an offline-first AI dictation app on iOS
Google's new offline-first dictation app uses Gemma AI models to take on the apps like Wispr Flow.
Introducing the Child Safety Blueprint
Discover OpenAI’s Child Safety Blueprint—a roadmap for building AI responsibly with safeguards, age-appropriate design, and collaboration to protect and empower young people online.
OpenAI alums have been quietly investing from a new, potentially $100M fund
Zero Shot, a new venture capital fund with deep ties to OpenAI, is aiming to raise $100 million for its first fund. It has already written some checks.
OpenAI raises $122 billion as AI infrastructure race accelerates
OpenAI says it has raised $122 billion in a new funding round, valuing the company at approximately $852 billion, as competition to build large-scale artificial intelligence infrastructure intensifies. The round was backed by a group of major technology and financial firms, including Amazon, Nvidia, SoftBank, and Microsoft, alongside investment firms such as Andreessen Horowitz and […]
New Yorker investigation raises questions over Sam Altman's trustworthiness
People close to OpenAI CEO Sam Altman privately questioned whether he could be trusted not only with running the powerful AI company, but as a leader of the transformative technology.
Comprehensive Benchmark for Evaluating AI on Graphic Design Tasks
Article URL: https://arxiv.org/abs/2604.04192 Comments URL: https://news.ycombinator.com/item?id=47684653 Points: 7 # Comments: 0
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OpenAI says its new model GPT-2 is too dangerous to release (2019)
Article URL: https://slate.com/technology/2019/02/openai-gpt2-text-generating-algorithm-ai-dangerous.html Comments URL: https://news.ycombinator.com/item?id=47684326 Points: 291 # Comments: 82
A new Anthropic model found security problems ‘in every major operating system and web browser’
Anthropic is debuting a new AI model as part of a cybersecurity partnership with Nvidia, Google, Amazon Web Services, Apple, Microsoft, and other companies. Project Glasswing, as it's called, is billed as a way for large companies, and potentially even the government, to flag vulnerabilities in their systems with virtually no human intervention. Anthropic is offering its launch partners access to Claude Mythos Preview, a new general-purpose model that it's not currently planning to publicly release due to security concerns. Newton Cheng, the cyber lead for Anthropic's frontier red team, told The Verge that the model will ideally give cyber … Read the full story at The Verge.
$\pi^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models
arXiv:2604.05114v1 Announce Type: new Abstract: We study a pipeline that curates reasoning data from initial structured data for improving long-context reasoning in large language models (LLMs). Our approach, $\pi^2$, constructs high-quality reasoning data through rigorous QA curation: 1) extracting and expanding tables from Wikipedia, 2) from the collected tables and relevant context, generating realistic and multi-hop analytical reasoning questions whose answers are automatically determined and verified through dual-path code execution, and 3) back-translating step-by-step structured reasoning traces as solutions of QA pairs given realistic web-search context. Supervised fine-tuning with \textsc{\small{gpt-oss-20b}} and \textsc{\small{Qwen3-4B-Instruct-2507}} on $\pi^2$ yields consistent improvements across four long-context reasoning benchmarks and our alike $\pi^2$-Bench, with average absolute accuracy gains of +4.3% and +2.7% respectively. Notably, our dataset facilitates self-di
AI agents that automatically prevent, detect and fix software issues are here as NeuBird AI launches Falcon, FalconClaw
The mantra of the modern tech industry was arguably coined by Facebook (before it became Meta): "move fast and break things." But as enterprise infrastructure has shifted into a dizzying maze of hybrid clouds, microservices, and ephemeral compute clusters, the "breaking" part has become a structural tax that many organizations can no longer afford to pay. Today, two-year-old startup NeuBird AI is launching a full-scale offensive against this "chaos tax," announcing a $19.3 million funding round alongside the release of its Falcon autonomous production operations agent. The launch isn't just a product update; it is a philosophical pivot. For years, the industry has focused on "Incident Response"—making the fire trucks faster and the hoses bigger. NeuBird AI is arguing that the only sustainable path forward is "Incident Avoidance". As Venkat Ramakrishnan, President and COO of NeuBird AI, put it in a recent interview: "Incident management is so old school. Incident resolution is so old
![[AINews] Anthropic @ $30B ARR, Project GlassWing and Claude Mythos Preview — first model too dangerous to release since GPT-2](https://zmstgxtziqmvvwzllahg.supabase.co/storage/v1/object/public/article-images/latent-space/c3c0c16b-a237-4e40-93b2-311be92bf1b6.jpg)
[AINews] Anthropic @ $30B ARR, Project GlassWing and Claude Mythos Preview — first model too dangerous to release since GPT-2
Anthropic steps up the offensive vs OpenAI's upcoming IPO woes
Enabling agent-first process redesign
Unlike static, rules-based systems, AI agents can learn, adapt, and optimize processes dynamically. As they interact with data, systems, people, and other agents in real time, AI agents can execute entire workflows autonomously. But unlocking their potential requires redesigning processes around agents rather than bolting them onto fragmented legacy workflows using traditional optimization methods. Companies…
I can’t help rooting for tiny open source AI model maker Arcee
Arcee is a tiny 26-person U.S. startup that built a high-performing, massive, open source LLM. And it's gaining popularity with OpenClaw users.
LLM-referred traffic converts at 30-40% — and most enterprises aren't optimizing for it
For more than two decades, digital discovery has operated on a simple model: search, scan, click, decide. That worked when humans were the ones doing the web searching; but with the advent of AI agents, the primary consumer of information is no longer always human. This is giving rise to a new paradigm: Answer engine optimization (AEO), also referred to as generative engine optimization (GEO). Because agents look at data much differently than humans do, success is no longer defined by rankings and clicks, but whether content is understood, selected, and cited by AI systems. The SEO model that the web was built on simply isn’t going to cut it anymore, and enterprises need to prepare now. How LLMs interpret web content Traditional SEO is built around keywords, rankings, page-level optimization, and click-through rates. Users manually search across multiple sources and click around to get what they need. Simple, but sometimes frustrating and a definite time suck. But AEO operates on a wh
Anthropic says its most powerful AI cyber model is too dangerous to release publicly — so it built Project Glasswing
Anthropic on Tuesday announced Project Glasswing, a sweeping cybersecurity initiative that pairs an unreleased frontier AI model — Claude Mythos Preview — with a coalition of twelve major technology and finance companies in an effort to find and patch software vulnerabilities across the world's most critical infrastructure before adversaries can exploit them. The launch partners include Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, Nvidia, and Palo Alto Networks. Anthropic says it has also extended access to more than 40 additional organizations that build or maintain critical software, and is committing up to $100 million in usage credits for Claude Mythos Preview across the effort, along with $4 million in direct donations to open-source security organizations. The announcement arrives at a moment of extraordinary momentum — and extraordinary scrutiny — for the San Francisco-based AI startup. Anthropic disclosed on S
AI joins the 8-hour work day as GLM ships 5.1 open source LLM, beating Opus 4.6 and GPT 5.4 on SWE-Bench Pro
Is China picking back up the open source AI baton? Z.ai, also known as Zhupai AI, a Chinese AI startup best known for its powerful, open source GLM family of models, has unveiled GLM-5.1 today under a permissive MIT License, allowing for enterprises to download, customize and use it for commercial purposes. They can do so on Hugging Face. This follows its release of GLM-5 Turbo, a faster version, under only proprietary license last month. The new GLM-5.1 is designed to work autonomously for up to eight hours on a single task, marking a definitive shift from vibe coding to agentic engineering. The release represents a pivotal moment in the evolution of artificial intelligence. While competitors have focused on increasing reasoning tokens for better logic, Z.ai is optimizing for productive horizons. GLM-5.1 is a 754-billion parameter Mixture-of-Experts model engineered to maintain goal alignment over extended execution traces that span thousands of tool calls. "agents could do about
Amazon S3 Files gives AI agents a native file system workspace, ending the object-file split that breaks multi-agent pipelines
AI agents run on file systems using standard tools to navigate directories and read file paths. The challenge, however, is that there is a lot of enterprise data in object storage systems, notably Amazon S3. Object stores serve data through API calls, not file paths. Bridging that gap has required a separate file system layer alongside S3, duplicated data and sync pipelines to keep both aligned. The rise of agentic AI makes that challenge even harder, and it was affecting Amazon's own ability to get things done. Engineering teams at AWS using tools like Kiro and Claude Code kept running into the same problem: Agents defaulted to local file tools, but the data was in S3. Downloading it locally worked until the agent's context window compacted and the session state was lost. Amazon's answer is S3 Files, which mounts any S3 bucket directly into an agent's local environment with a single command. The data stays in S3, with no migration required. Under the hood, AWS connects its Elastic Fi
Business & Industry
Anthropic Rolls Out Mythos AI to Select Cyber Partners
New AI security model highlights both defensive potential and governance concerns