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OpenAI is launching additional opt-in protections for ChatGPT accounts. The new security initiative includes a new partnership with security key provider Yubico.

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

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

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

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

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
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

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.

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

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.

While answering questions under oath, Musk argued it’s standard practice for AI labs to use their competitors’ models.

In this episode of Uncanny Valley, we get into how the Elon Musk-Sam Altman trial goes way beyond their rivalry and could have major implications both for OpenAI and also the AI industry at large.
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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

Writer, the enterprise AI agent platform backed by Salesforce Ventures, Adobe Ventures, and Insight Partners, today launched event-based triggers for its Writer Agent platform, enabling AI agents to autonomously detect business signals across Gmail, Gong, Google Calendar, Google Drive, Microsoft SharePoint, and Slack — and execute complex multi-step workflows without any human initiating the process. The release, which also includes a new Adobe Experience Manager connector and a suite of enhanced governance controls such as bring-your-own encryption keys and a Datadog observability plugin, represents Writer's most aggressive bet yet on fully autonomous enterprise AI. It arrives at a moment when AWS, Salesforce, and Microsoft are all racing to establish their own agentic platforms, and when the question of how much autonomy enterprises will actually hand to AI agents remains deeply unresolved. "We are launching a series of event triggers that power and drive our playbooks to be more pro
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

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

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…

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.

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

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.