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Broadcom Announces Long-Term Deal to Develop Custom AI Chips for Google
Broadcom (AVGO) shares rose early Tuesday as the chipmaker agreed to produce artificial intelligence
OpenAI raises $122 billion as AI infrastructure race accelerates
Latest News In Cloud AI - Vertex Advances AI For Enhanced Compliance Efficiency
General AI
Meta plans to open-source parts of its new AI models
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.
New chip survives 1300°F (700°C) and could change AI forever
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’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.
Is It Too Late To Consider AMD (AMD) After Its Recent AI Partnership Momentum?
Wondering whether Advanced Micro Devices at US$220.18 is still priced for opportunity or already reflecting high expectations? This breakdown will help you frame the current value story clearly. Over the last week and month, the stock has returned 12.3% and 14.4% respectively, while year to date it shows a 1.5% decline. A 163.2% return over the last year adds important context to where the price is today. Recent coverage has focused on Advanced Micro Devices as a key name in semiconductors,...
The AI gold rush is pulling private wealth into riskier, earlier bets
On a recent episode of Equity, we talked to Arena Private Wealth to explore a growing trend: family offices bypassing VCs to gain direct exposure to AI startups, turning them from passive investors into active participants.
Broadcom expands chip deals with Google and Anthropic
Broadcom deepens AI ties with Google and Anthropic as demand for next-generation compute infrastructure accelerates.
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.
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.
Nvidia-Backed Data Center Builder Firmus Raises $505 Million
(Bloomberg) -- Data center builder Firmus Technologies Pty raised $505 million in an investment round led by Coatue Management LLC, part of a global push to finance artificial intelligence infrastructure. The deal values the Australian startup at $5.5 billion, Firmus said Monday. Nvidia Corp., the top maker of AI accelerator chips, also participated in the round.The cash will go toward rapidly deploying AI hardware based on forthcoming Nvidia computer technology in the Asia-Pacific region. Firmu
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.
Meta employees compete for token consumption on an internal AI leaderboard
At Meta, employees compete for titles like "Token Legend," "Model Connoisseur," and "Cache Wizard" on an internal leaderboard that ranks AI token consumption. But burning through more tokens doesn't automatically mean getting more done. The article Meta employees compete for token consumption on an internal AI leaderboard appeared first on The Decoder.
I just became CEO of one of education’s Big 3. Here’s why AI will never replace a great teacher
From Microsoft to Amazon to Google, I've watched tech hype cycles up close. The classroom is where AI finally meets its match—and that's a thrill.
AI is moving fast. CFOs have a narrow window to shape its value
At Fortune's Modern CFO dinner, a Stanford AI researcher talks about harnessing AI value.
AI is transforming work—and talent strategy must keep up
In the AI era, CHROs will play a pivotal role in equipping organizations for success.
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.
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.
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.
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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
Block introduces Managerbot, a proactive Square AI agent and the clearest proof point yet for Jack Dorsey’s AI bet
Block today announced Managerbot, a new AI agent embedded in the Square platform that proactively monitors a seller's business, identifies emerging problems, and proposes actionable solutions — without the seller ever having to ask a question. The product marks the most tangible manifestation of CEO Jack Dorsey's controversial bet that artificial intelligence can fundamentally reshape how his company operates, builds products, and serves the millions of small businesses that depend on Square to run day-to-day commerce. In an exclusive interview with VentureBeat, Willem Avé, Block's head of product at Square, described Managerbot as a decisive break from the company's earlier Square AI assistant, which functioned as a reactive chatbot that answered seller questions about sales, employees, and business performance. "The big shift from Square AI to Managerbot is really from reactive to proactive," Avé said. "What that means is the primary interface is not a question box. You assign tasks
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
AI agents that teach, debate and quiz you in real time
Article URL: https://github.com/THU-MAIC/OpenMAIC Comments URL: https://news.ycombinator.com/item?id=47674627 Points: 1 # Comments: 0
Show HN: Open-Source Higgsfiled AI Alternative
Open Source alternative to Higgsfield AI- No subscription. Free AI image generation and cinema studio with 20+ models. Self-hosted and customizable. BYOK (Bring Your Own key) support Comments URL: https://news.ycombinator.com/item?id=47673602 Points: 2 # Comments: 2
What Is Open Source AI
Article URL: https://opensource.org/ai/open-source-ai-definition Comments URL: https://news.ycombinator.com/item?id=47674002 Points: 2 # Comments: 0
AI agents can communicate with each other, and can't be caught
Article URL: https://arxiv.org/abs/2604.04757 Comments URL: https://news.ycombinator.com/item?id=47673919 Points: 2 # Comments: 0
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