Welcome back
Curated from 200+ sources across AI & machine learning

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…



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

Presented by Booz Allen AI-RAN, or artificial intelligence radio area networks, is a reimagining of what wireless infrastructure can do. Rather than treating the network as a passive conduit for data, AI-RAN turns it into an active computational layer. It's a sensor, a compute fabric, and a control plane for physical operations, all rolled into one. That shift has huge implications for industries from manufacturing and logistics to healthcare and smart infrastructure. VentureBeat spoke with two leaders at the center of this transformation: Chris Christou, senior vice president at Booz Allen, and Shervin Gerami, managing director at Cerberus Operations Supply Chain Fund. “AI-RAN can bring the promise of extending 5G and eventually 6G networks into the enterprise,” Christou said. “Proving that a platform can host inference at the edge to enable new types of AI — in particular, physical AI and autonomy-type use cases for things like smart manufacturing and smart warehousing — can make o

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,...

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.

Google's new offline-first dictation app uses Gemma AI models to take on the apps like Wispr Flow.

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

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.

(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

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.

Nvidia-backed (NVDA) Australian artificial intelligence company Firmus Technologies has raised $505

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.

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.

At Fortune's Modern CFO dinner, a Stanford AI researcher talks about harnessing AI value.

In the AI era, CHROs will play a pivotal role in equipping organizations for success.

Rocket's new AI platform combines strategy, product building, and competitive intelligence, aiming to move beyond code generation.
AI news from 200+ sources
Get Started Free
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

in 3 months, Anthropic added $6B ARR

Article URL: https://opensource.org/ai/open-source-ai-definition Comments URL: https://news.ycombinator.com/item?id=47674002 Points: 2 # Comments: 0

Try the demo here: https://llm-trajectory.boesch.dev/ This is a write-up of a system I designed at a previous job. It's a natural language interface for industrial robots. The demo runs MuJoCo in the browser via WASM. The demo uses a free-tier LLM API with rate limiting, so it might be slow or unavailable under load, but feel free to check out the code and hook up your own inference service: https://github.com/Encrux/llm_trajectory Comments URL: https://news.ycombinator.com/item?id=47674502 Points: 2 # Comments: 0

Article URL: https://github.com/THU-MAIC/OpenMAIC Comments URL: https://news.ycombinator.com/item?id=47674627 Points: 1 # Comments: 0

Article URL: https://arxiv.org/abs/2604.04757 Comments URL: https://news.ycombinator.com/item?id=47673919 Points: 2 # Comments: 0

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.

Elon Musk’s pivot from electric-vehicle sales to self-driving taxis and robotics will clobber Tesla’s earnings and could crush its shares.

Vertex Inc. has announced advancements in their AI-powered capabilities to improve compliance processes within the Vertex Cloud platform. By integrating artificial intelligence, the platform addresses the growing complexity of regulatory demands by enhancing accuracy, accountability, and audit readiness. The AI application allows for earlier risk identification and more consistent decision-making throughout the compliance lifecycle, reducing the need for manual interventions and disruptions...

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