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The new model will be used by a small number of high-profile companies to engage in defensive cybersecurity work.



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.

Broadcom (AVGO) shares rose early Tuesday as the chipmaker agreed to produce artificial intelligence

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 […]

Broadcom Inc (NASDAQ:AVGO, XETRA:1YD) shares has risen 5.6% by Tuesday afternoon following the announcement of key supply agreements with Google and Anthropic as investors cheered the chipmaker’s expanding role in the AI accelerator market. Under the agreements, Broadcom will serve as a...

Anthropic bulked up its compute deal with Google and Broadcom as the company has seen its run-rate revenue surge to $30 billion.

Nvidia-backed Asia AI data center provider Firmus has now raised $1.35 billion in six months.

Uber is expanding its AWS contract to run more of its ride-sharing features on Amazon's chips. This is a thumb-of-the nose at Oracle and Google.

Meta is planning to release versions of its new AI models as open source, according to Axios. The article Meta plans to open-source parts of its new AI models appeared first on The Decoder.

Article URL: https://openyourmindabretumente.blogspot.com/2026/04/this-new-chip-survives-1300f-700c-and.html Comments URL: https://news.ycombinator.com/item?id=47674435 Points: 1 # Comments: 0

Anthropic needs compute, and Google has the most: it's a natural partnership, particularly for Google.

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.

OpenAI Monday released a paper outlining policy proposals to regulate and tax corporate income from AI.
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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.

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…

Google pairs new crisis-support tools with $30 million in funding for hotlines worldwide.

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 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

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

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

The AI lab's Project Glasswing will bring together Apple, Google, and more than 45 other organizations. They'll use the new Claude Mythos Preview model to test advancing AI cybersecurity capabilities.

Google is rolling out new features to make it easier for users to contribute local knowledge to Maps. Most notably, Gemini can now create captions when users are looking to share a photo or video about a place.

Google says it has updated Gemini to better direct users to get mental health resources during moments of crisis. The change comes as the tech giant faces a wrongful death lawsuit alleging its chatbot "coached" a man to die by suicide, the latest in a string of lawsuits alleging tangible harm from AI products. When a conversation indicates a user is in a potential crisis related to suicide or self-harm, Gemini already launches a "Help is available" module that directs users to mental health crisis resources, like a suicide hotline or crisis text line. Google says the update - really more of a redesign - will streamline this into a "one-touc … Read the full story at The Verge.

arXiv:2604.03395v1 Announce Type: new Abstract: We present QIMMA, a quality-assured Arabic LLM leaderboard that places systematic benchmark validation at its core. Rather than aggregating existing resources as-is, QIMMA applies a multi-model assessment pipeline combining automated LLM judgment with human review to surface and resolve systematic quality issues in well-established Arabic benchmarks before evaluation. The result is a curated, multi-domain, multi-task evaluation suite of over 52k samples, grounded predominantly in native Arabic content; code evaluation tasks are the sole exception, as they are inherently language-agnostic. Transparent implementation via LightEval, EvalPlus and public release of per-sample inference outputs make QIMMA a reproducible and community-extensible foundation for Arabic NLP evaluation.

arXiv:2604.03586v1 Announce Type: new Abstract: With the growing prevalence of multimodal news content, effective news topic classification demands models capable of jointly understanding and reasoning over heterogeneous data such as text and images. Existing methods often process modalities independently or employ simplistic fusion strategies, limiting their ability to capture complex cross-modal interactions and leverage external knowledge. To overcome these limitations, we propose MultiPress, a novel three-stage multi-agent framework for multimodal news classification. MultiPress integrates specialized agents for multimodal perception, retrieval-augmented reasoning, and gated fusion scoring, followed by a reward-driven iterative optimization mechanism. We validate MultiPress on a newly constructed large-scale multimodal news dataset, demonstrating significant improvements over strong baselines and highlighting the effectiveness of modular multi-agent collaboration and retrieval-aug

Elon Musk's Terafab AI chip project in Austin, Texas, is gaining a crucial new partner: Intel. On Tuesday, the American chipmaker announced it was signing on to help design and build the sprawling facility, which would supply AI chips to Musk's two companies, SpaceX (newly merged with xAI) and Tesla. Musk needs AI chips to power his plans to build a "robot army" that includes self-driving cars and humanoid robots, as well as for the data centers he plans on launching into space. SpaceX plans on making its initial public offering later this year. "Terafab will close the gap between today's chip production and the future's demand - a future … Read the full story at The Verge.

AGIBOT WORLD 2026 provides an open-source dataset to provide the infrastructure for embodied robot development. The post AGIBOT WORLD 2026 dataset is open-source to accelerate embodied AI development appeared first on The Robot Report.

Presented by Box As frontier models converge, the advantage in enterprise AI is moving away from the model and toward the data it can safely access. For most enterprises, that advantage lives in unstructured data: the contracts, case files, product specifications, and internal knowledge. For enterprise leaders, the question is no longer which model to use, but which platform governs the content those models are allowed to reason over. "It's not what the model does anymore, it's the enterprise's own unstructured data – their content, how it's organized, how it's governed, and how it's made accessible to the AI." says Yash Bhavnani, head of AI at Box. "The organizations that will lead in AI are the ones that built the governance infrastructure to make any model trustworthy, with the right permissions in place, the right content accessible, and a clear audit trail for every action taken," says Ben Kus, CTO of Box. Enterprise AI must be grounded in secure systems of record As the advant