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Anthropic’s New TPU Deal, Anthropic’s Computing Crunch, The Anthropic-Google Alliance
Anthropic needs compute, and Google has the most: it's a natural partnership, particularly for Google.
Nvidia-Backed Data Center Builder Firmus Raises $505 Million
Broadcom expands chip deals with Google and Anthropic
General AI
Broadcom and Google seal five-year AI chip partnership
Broadcom Inc (NASDAQ:AVGO, XETRA:1YD), the US semiconductor group, has agreed a long-term deal with Google to design and supply future generations of the search giant's custom artificial intelligence processors, as well as components for its next-generation data centre infrastructure, through...
AI startup Rocket offers vibe McKinsey-style reports at a fraction of the cost
Rocket's new AI platform combines strategy, product building, and competitive intelligence, aiming to move beyond code generation.
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.
Spain’s Xoople raises $130 million Series B to map the Earth for AI
The company is also announcing a deal with L3Harris to build the sensors for Xoople's spacecraft.
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.
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.
Market Chatter: Nvidia-backed Firmus Raises $505 Million in Funding
Nvidia-backed (NVDA) Australian artificial intelligence company Firmus Technologies has raised $505
OneMedNet Announces Strong 2025 Financials and Advances AI-Driven iRWD™ powered by Palantir Foundry enabling Conversational Search on Real-Time Medical Data
MINNEAPOLIS, April 06, 2026 (GLOBE NEWSWIRE) -- OneMedNet Corporation (Nasdaq: ONMD) (the “OneMedNet,” the “Company,” “we,” “us” or “our”), a leading provider of regulatory decision-grade, AI-Driven Real-World Data (RWD), highlights its 2025 results, with robust revenue growth from the prior year, a strengthened balance sheet, and continued commercial momentum driven by Palantir Foundry enabled conversational search on Real-Time medical data from OneMedNet’s rapidly growing network. 2025 Financi
Sam Altman’s big pitch to fix the big AI mess sounds like Jamie Dimon’s: a 4-day workweek and a big new tax on rich people like him
OpenAI Monday released a paper outlining policy proposals to regulate and tax corporate income from AI.
Associated Press starts offering buyouts to newspaper journalists amid wider AI transformation
The News Media Guild, the union that represents AP journalists, said more than 120 staff members received buyout offers on Monday.
Sam Altman says AI superintelligence is so big that we need a ‘New Deal’—critics say OpenAI’s policy ideas are a cover for ‘regulatory nihilism’
OpenAI’s sweeping vision for the AI economy spans everything from public wealth funds to shorter workweeks—but critics say it raises familiar ideas without offering a clear path to action.
Robinhood Ventures has rebounded 30% since its lackluster debut. Can the new private markets fund now withstand the mega IPOs?
Shareholders in private companies are holding their breath as SpaceX, OpenAI, and Anthropic look to make big splashes in the public markets.
AIs can now often do massive easy-to-verify SWE tasks and I've updated towards shorter timelines
I've recently updated towards substantially shorter AI timelines and much faster progress in some areas. [1] The largest updates I've made are (1) an almost 2x higher probability of full AI R&D automation by EOY 2028 (I'm now a bit below 30% [2] while I was previously expecting around 15%; my guesses are pretty reflectively unstable) and (2) I expect much stronger short-term performance on massive and pretty difficult but easy-and-cheap-to-verify software engineering (SWE) tasks that don't require that much novel ideation [3] . For instance, I expect that by EOY 2026, AIs will have a 50%-reliability [4] time horizon of years to decades on reasonably difficult easy-and-cheap-to-verify SWE tasks that don't require much ideation (while the high reliability—for instance, 90%—time horizon will be much lower, more like hours or days than months, though this will be very sensitive to the task distribution). In this post, I'll explain why I've made th
The one piece of data that could actually shed light on your job and AI
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Within Silicon Valley’s orbit, an AI-fueled jobs apocalypse is spoken about as a given. The mood is so grim that a societal impacts researcher at Anthropic, responding Wednesday to a call for…
Iran threatens OpenAI’s Stargate data center in Abu Dhabi
An October 2025 image of OpenAI’s UAE Stargate data center under construction. | Image: G42 Iran's Islamic Revolutionary Guard Corps (IRGC) has published a video threatening OpenAI's planned Abu Dhabi datacenter if the US follows through on threats to attack the country's power plants, as reported earlier by Tom's Hardware. The video, which was published to an Iranian state-backed news outlet's X account on April 3rd, says the IRGC will carry out the "complete and utter annihilation" of US-linked energy and technology companies in the region, before showing an image of OpenAI's $30 billion in-progress Stargate facility in the United Arab Emirates. OpenAI's overarching $500 billion Stargate project includes investments from Oracle, … Read the full story at The Verge.
Cisco CEO Chuck Robbins wants data centers in space
Today, I’m talking with Chuck Robbins, CEO of Cisco. Cisco is one of those big companies that everyone has heard of but that most of us don’t have to interact with very much; it’s not really a consumer brand. But all of us are in some way using Cisco’s products and services every day because it makes a huge amount of networking equipment for other big companies, like telecoms and ISPs. It’s a guarantee that somewhere between me recording this and you watching, listening to, or reading it, the bits have passed through Cisco products. Without the actual routers and switches and silicon — and the software to make those things work — there’s no internet, there’s no cloud, and there’s no AI. Verge subscribers, don’t forget you get exclusive access to ad-free Decoder wherever you get your podcasts. Head here. Not a subscriber? You can sign up here. That’s Cisco’s new big business, of course: building all the networking needed inside all of the data centers the AI companies are trying to
AI is changing how small online sellers decide what to make
For years Mike McClary sold the Guardian LTE Flashlight, a heavy-duty black model, online through his small outdoor brand. The product, designed for brightness and durability, became one of his most popular items ever. Even after he stopped offering it around 2017, customers kept sending him emails asking where they could buy it. When McClary…
Americans are using AI more than ever while trusting it less, new Quinnipiac poll finds
A new Quinnipiac University poll reveals a growing paradox: AI adoption in the US is climbing fast, but skepticism is growing even faster. Gen Z, the generation most familiar with AI, has the bleakest outlook on the job market. The article Americans are using AI more than ever while trusting it less, new Quinnipiac poll finds appeared first on The Decoder.
The New York Times drops freelancer whose AI tool copied from an existing book review
AI tools can speed up journalism until they backfire. Two recent cases show what happens when writers don't understand how their AI tools work: copied passages and made-up quotes. The article The New York Times drops freelancer whose AI tool copied from an existing book review appeared first on The Decoder.
AIs can now often do massive easy-to-verify SWE tasks and I've updated towards shorter timelines
I've recently updated towards substantially shorter AI timelines and much faster progress in some areas. [1] The largest updates I've made are (1) an almost 2x higher probability of full AI R&D automation by EOY 2028 (I'm now a bit below 30% [2] while I was previously expecting around 15%; my guesses are pretty reflectively unstable) and (2) I expect much stronger short-term performance on massive and pretty difficult but easy-and-cheap-to-verify software engineering (SWE) tasks that don't require that much novel ideation [3] . For instance, I expect that by EOY 2026, AIs will have a 50%-reliability [4] time horizon of years to decades on reasonably difficult easy-and-cheap-to-verify SWE tasks that don't require much ideation (while the high reliability—for instance, 90%—time horizon will be much lower, more like hours or days than months, though this will be very sensitive to the task distribution). In this post, I'll explain why I've made th
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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
Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM Evaluation
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.
MultiPress: A Multi-Agent Framework for Interpretable Multimodal News Classification
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
Self-Execution Simulation Improves Coding Models
arXiv:2604.03253v1 Announce Type: new Abstract: A promising research direction in enabling LLMs to generate consistently correct code involves addressing their inability to properly estimate program execution, particularly for code they generate. In this work, we demonstrate that Code LLMs can be trained to simulate program execution in a step-by-step manner and that this capability can be leveraged to improve competitive programming performance. Our approach combines supervised fine-tuning on natural language execution traces, textual explanations grounded in true execution, with reinforcement learning using verifiable rewards. We introduce two complementary objectives: output prediction given code and inputs, and solving competitive programming tasks with either ground-truth or self-predicted execution feedback. These objectives enable models to perform self-verification over multiple candidate solutions, and iterative self-fixing by simulating test execution. Across multiple compet
Claude, OpenClaw and the new reality: AI agents are here — and so is the chaos
The age of agentic AI is upon us — whether we like it or not. What started with an innocent question-answer banter with ChatGPT back in 2022 has become an existential debate on job security and the rise of the machines. More recently, fears of reaching artificial general intelligence (AGI) have become more real with the advent of powerful autonomous agents like Claude Cowork and OpenClaw. Having played with these tools for some time, here is a comparison. First, we have OpenClaw (formerly known as Moltbot and Clawdbot). Surpassing 150,000 GitHub stars in days, OpenClaw is already being deployed on local machines with deep system access. This is like a robot “maid” (Irona for Richie Rich fans, for instance) that you give the keys to your house. It’s supposed to clean it, and you give it the necessary autonomy to take actions and manage your belongings (files and data) as it pleases. The whole purpose is to perform the task at hand — inbox triaging, auto-replies, content curation, trav
Developers using LLM APIs, what are your biggest frustrations?
Article URL: https://form.jotform.com/260943627372058 Comments URL: https://news.ycombinator.com/item?id=47650387 Points: 1 # Comments: 0
Robotics
OpenAI’s vision for the AI economy: public wealth funds, robot taxes, and a four-day work week
OpenAI proposes taxes on AI profits, public wealth funds, and expanded safety nets to address job loss and inequality, blending redistribution with capitalism as policymakers debate AI’s economic impact.