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STORY: Meta Platforms raised its 2026 capital expenditure forecast by $10 billion to a range of $125 billion to $145 billion. "Meta, for example, may actually lose money, so negative free cash flow in the next year or two as they spend more than they're earning," said Bailey. "So I think investors are really kind of struggling with that question today." Google-parent Alphabet is "selling their own chips, selling their own microchips, and that is really becoming a big business for them," added Bailey, who views the company's growing hardware division as a long-term positive.



X is rolling out a rebuilt ads platform powered by AI as it works to grow revenue again.

Elon Musk spent three days testifying as the first witness in his trial against OpenAI.

Apple CEO Tim Cook told analysts that AI adoption has happened faster than expected.

Messages presented at trial reveal how Zilis, the mother of four of Musk's children, acted as an intermediary between him and OpenAI.

Apple said it will be supply-constrained on Mac mini, Studio, and Neo in the next quarter, too.

Anthropic is asking investors to submit allocations for the AI company’s latest fundraise within the next 48 hours, according to sources familiar with the matter.

Microsoft's relationship with OpenAI has always been complicated, so I expected the close partnership-turned-situationship to end in tears. After all, executive disagreements, rearranged contracts, and frustrations over AI infrastructure have all regularly been part of the partnership, creating plenty of tension along the way. But against all odds, Microsoft and OpenAI divorced this week in a way that looks strangely amicable. Microsoft announced the updates to its long-standing OpenAI deal on Monday, with the most important change allowing OpenAI to make its products and services available across all cloud providers. A day later, OpenAI an … Read the full story at The Verge.
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Netomi, the San Francisco-based startup building AI systems for enterprise customer service, said Thursday that it has raised $110 million in new funding in a round led by Accenture Ventures, with participation from Adobe Ventures, WndrCo, Silver Lake Waterman, NAVER Ventures, Metis Strategy and Fin Capital. Jeffrey Katzenberg, managing partner of WndrCo and co-founder of DreamWorks, has joined the company's board. The round builds on early backing from a roster of AI luminaries that includes OpenAI co-founder Greg Brockman, Google DeepMind co-founder Demis Hassabis and Microsoft AI CEO Mustafa Suleyman. On its face, the financing is another large AI round in a market still awash in capital. But the deal is more revealing than that. It suggests that a new line is being drawn inside enterprise AI — not between companies that have a chatbot and companies that do not, but between companies that can show AI works in the messy, brittle, heavily governed environments where large businesses a

Caterpillar stock popped 10% after a strong earnings report, while Meta and Microsoft stock fell on AI spending concerns

Article URL: https://www.livescience.com/technology/artificial-intelligence/google-ai-breakthrough-means-chatbots-use-six-times-less-memory-during-conversations-without-compromising-performance Comments URL: https://news.ycombinator.com/item?id=47965515 Points: 3 # Comments: 0

Article URL: https://www.bloomberg.com/news/articles/2026-04-30/kkr-preparing-new-10-billion-ai-firm-led-by-ex-amazon-web-chief Comments URL: https://news.ycombinator.com/item?id=47965834 Points: 1 # Comments: 0

AI finds value in motorsport, multiplying limited computational fluid dynamics resources.

AI will erode the need for human employees but that may not be a bad thing, according to SingularityNET CEO Ben Goertzel. The artificial general intelligence pioneer said the elimination of human jobs, perhaps with the exception of preschool teachers,...
Article URL: https://medium.com/@xcf.seetan/how-mcp-servers-can-fix-the-biggest-problem-with-ai-coding-assistants-254a848590c7 Comments URL: https://news.ycombinator.com/item?id=47967179 Points: 2 # Comments: 0

While answering questions under oath, Musk argued it’s standard practice for AI labs to use their competitors’ models.
AI news from 200+ sources
Get Started FreeBeen working on this for a few months, since the day the USA hit Iran. It started out as a simple OSS conflict monitor of which many were popping up at the time, but it developed into an entirely domain-agnostic pipeline which extracts claims + evidence, synthesizes events, and maps them on a timeline. It also attributes actors, relates events to each other, and contributes analysis. There are a lot of features under the hood that I'm not sure what to do with yet - various contextual analyses, a storytelling mode that will fly you around and voice-over a series of events automatically, a system which makes and later scores predictions. There's also an entire "newsroom" editorial and journalistic layer which writes and publishes articles based on developments, using its own judgement. Currently running (astonishingly well at the price point) on deepseek-3.2, which tends to reject Chinese military news. American models tend to refuse on Iran-Israel. I've had a lot of fun and felt very we

Runpod, the high-performance cloud computing and GPU platform designed specifically for AI development, today launched a new open source, MIT licensed, enterprise-friendly Python programming tool called Runpod Flash — and it is poised to make creation, iteration and deployment of AI systems inside and outside of foundation model labs much faster. The tool aims to eliminate some of the biggest barriers and hurdles to training and using AI models today, namely, doing away with Docker packages and containerization when developing for serverless GPU infrastructure, which the company believes will speed up development and deployment of new AI models, applications and agentic workflows. Additionally, the platform is built to serve as a critical substrate for AI agents and coding assistants—such as Claude Code, Cursor, and Cline—enabling them to orchestrate and deploy remote hardware autonomously with minimal friction. Developers can utilize Flash to accomplish a diverse set of high-perform

Article URL: https://thenewstack.io/anaconda-ai-outerbounds-python-metaflow/ Comments URL: https://news.ycombinator.com/item?id=47965248 Points: 1 # Comments: 0

One of the key challenges of building effective AI agents is teaching them to choose between using external tools or relying on their internal knowledge. But large language models are often trained to blindly invoke tools, which causes latency bottlenecks, unnecessary API costs, and degraded reasoning caused by environmental noise. To overcome this challenge, researchers at Alibaba introduced Hierarchical Decoupled Policy Optimization (HDPO), a reinforcement learning framework that trains agents to balance both execution efficiency and task accuracy. Metis, a multimodal model they trained using this framework, reduces redundant tool invocations from 98% to just 2% while establishing new state-of-the-art reasoning accuracy across key industry benchmarks. This framework helps create AI agents that are not trigger-happy and know when to abstain from using tools, enabling the development of responsive and cost-effective agentic systems. The metacognitive deficit Current agentic models fa

The San Francisco–based startup Goodfire just released a new tool, called Silico, that lets researchers and engineers peer inside an AI model and adjust its parameters—the settings that determine a model’s behavior—during training. This could give model makers more fine-grained control over how this technology is built than was once thought possible. Goodfire claims Silico…
we've been testing agentic AI for inventory replenishment and exception handling. the goal was to get past simple "if-then" rules and have agents actually weigh trade-offs, like margin vs. customer loyalty when a bottleneck hits. where it keeps breaking down: ERP data lag. records run slightly behind reality, and the agent makes confident decisions on stale inputs. a chatbot getting a fact wrong is annoying. in supply chain, that's a missed commitment or dead inventory sitting in a warehouse. how are you drawing the line on autonomous action? we're going back and forth between hard financial caps and keeping the agent in "recommend only" mode until data quality improves. submitted by /u/rukola99 [link] [comments]
For the last 20 years, software was built for humans clicking buttons. Open dashboard. Click tab. Export CSV. Copy data. Paste somewhere else. Repeat until your soul leaves the room. That era is ending. The next interface is not another prettier dashboard. It is an agent that can read, decide, and act across tools. Salesforce is already moving this way with its “headless” push: APIs, MCP, CLI, and agent access instead of forcing every workflow through a browser. Meta just released Ads CLI and Meta Ads AI Connectors, allowing developers and AI agents to create, edit, and analyze ad campaigns from command-line and AI interfaces. Meta’s own docs now openly talk about connecting ads into your preferred AI interface, which is a huge shift from the old fear of “automation might get your ad account banned.” Now the platforms are building official doors for agents to walk through. This is the real unlock: The SaaS app becomes the backend. The agent becomes the product. Imagine a

OpenAI is preparing to launch a new frontier cybersecurity model, GPT-5.5-Cyber. CEO Sam Altman said the model will not be available to the general public, but will be first rolled out to a select group of trusted "cyber defenders" in order for institutions to shore up their cyberdefenses. The limited rollout will take place "in the next few days," Altman said on X. "We will work with the entire ecosystem and the government to figure out trusted access for Cyber." It's not clear who will get access to the model first, though previous "trusted access" schemes involved vetted professionals and institutions. Details of the model and its capa … Read the full story at The Verge.

OpenAI will begin rolling out its cybersecurity testing tool, GPT-5.5 Cyber only "to critical cyber defenders" at first.

AI is more than a technology — it's magic. Don't believe me? Why, then, is one of the leading companies in the space, OpenAI, publishing entire official, corporate blog posts about goblins? To understand, we first have to go back to earlier this week, on Monday, April 27, 2026, when a developer under the handle @arb8020 on the social network X posted a snippet from the OpenAI open source Codex GitHub repository, specifically a file named models.json. Deep within the instructions for the new OpenAI large language model (LLM) GPT-5.5, a peculiar directive stood out, repeated four times for emphasis: "Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query." The discovery sent a shockwave through the "power user" and machine learning (ML) researcher circles. Within hours, the post had gone viral, not because of a security flaw, but because of its sheer, baffling specifici

OpenAI is rolling out Advanced Account Security for people concerned that their ChatGPT or Codex accounts could be potential targets of phishing attacks.