标签：#Intel

Google DeepMind is funding research into the potential dangers of situations where millions of different AI agents interact with each other online. According to Rohin Shah, who directs the company’s AGI safety and alignment research, the mass-market arrival of agents that can carry out tasks without human oversight and follow instructions given to them by other…

The company changed course after researchers spoke out against the policy, which would have covertly limited Claude’s ability to develop competing AI models.

The Framework Laptop 13 Pro is delayed. The new 13-inch Framework flagship was set to launch in June, but shipments from the first batch are now expected in July - and there's still a chance some shipments could slip to early August. If you're not in the first batch, your Laptop 13 Pro shifts from […]

Diffusion AI is most common in image generation, but it can make text outputs much faster.

With an initial capacity of 24 megawatts, the innovative data center uses seawater as a natural cooling system.

Adi Polak discusses the architecture required to transition from stateless prompts to state-aware, context-rich AI agents. Drawing on 15 years in distributed systems, she shares how engineering leaders can leverage Apache Kafka and Flink for real-time stream processing, dynamic memory tiering, and tool orchestration via MCP to solve token limits, cost spikes, and latency bottlenecks. By Adi Polak

Anthropic is releasing Claude Mythos 5 to trusted organizations and Claude Fable 5 to the public, a version it says can’t be used for cyberattacks.

Some models run in Google's cloud, but without giving Google any kind of access.

As adoption of AI agents looks set to surge by as much as 300% in the next two years, leadership teams are carefully considering the implications of a hybrid human-AI workforce. Unlike existing enterprise-level automation that relies on manual input, AI agents are capable of autonomously coordinating complex tasks, interacting with multiple tools and environments across…

At SXSW London last week I gave a talk called “Five things you need to know about AI,” in which I shared what I think are the biggest themes in AI right now. I pulled a few things from our first AI10 list, an annual guide to the most important trends in this buzzy world,…

The vibe of Apple's 2026 WWDC keynote felt like a spouse proudly listing all the honey-do-list items tackled. One subtle example: the many AI demos of someone standing, phone in hand.

The ChatGPT maker announced it has filed paperwork to go public, just a week after rival Anthropic took the same step.

New features coming this fall alongside two-tiered, Google-powered AI model overhaul.

Apple is adding new AI-powered features to Safari, Shortcuts, and Password apps.

Apple's new dictation system could compete with Wispr Flow and others.

The British government thinks a state-backed infrastructure initiative will help supercharge homegrown chip startups.

Apple's WWDC nears: Here's what you can look forward to.

In this article, the author examines how AI is transforming phishing from a manual, targeted activity into an automated and scalable attack model. The article breaks down each stage of the phishing lifecycle, showing how AI improves reconnaissance, profiling, content generation, delivery, and interaction, while outlining layered defenses that combine controls, processes, and user awareness. By Marco Rizzi

Moms are outsourcing tedious household tasks to ChatGPT and selling courses teaching others to do the same. Where are all the dads?

1.4 billion iPhones. That's how many devices Apple will push Siri 2.0 to this fall—built on a custom 1.2-trillion-parameter Gemini model and an Extensions system that lets users route Siri's AI brain to Claude, ChatGPT, or Google's own Gemini directly. Tim Cook announced all of it at WWDC 2026 on June 8, his final WWDC keynote before handing the CEO role to hardware chief John Ternus in September. The story isn't just a better Siri. Apple is opening iOS as an AI distribution channel—the largest in history—and the developer implications are immediate. The Gemini Deal Apple licensed a custom 1.2-trillion-parameter Gemini model from Google at a reported $1 billion per year. That's eight times the parameter count of Apple's current 150-billion-parameter on-device foundation model. Bloomberg first reported the deal in March 2026; WWDC confirmed it on stage. The private vs. cloud distinction matters here. Apple isn't routing your queries to Google's servers. The custom Gemini model runs on Apple's Private Cloud Compute (PCC) infrastructure—Apple-owned silicon, Apple-controlled software, with cryptographic attestation that prevents even Apple engineers from reading query contents. This is the same architecture Apple built for existing cloud AI features, now scaled up for a model eight times larger. What that means in practice: Siri can answer complex multi-step questions, reason over your personal context (calendar, messages, mail), and execute cross-app actions. None of it touches Google's data centers. The New Siri App Siri in iOS 27 ships as a standalone app. iMessage-style interface, persistent conversation threads, full chat history synced via iCloud. Two modes: quick invocation through the Dynamic Island (a glowing "Search or Ask" prompt) for fast queries, and the full chat app for extended conversations. Chat-mode Siri is a first-party ChatGPT competitor. Persistent threads, file attachments, on-screen awareness. Ask "what does this error mean?" while looking at an