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On Tuesday, the Seattle City Council will vote on whether to enact a one-year moratorium on new data centers - just two months after several companies proposed building five large-scale centers in the city. Among the moratorium's fiercest supporters are current employees from…
Siri isn't state of the art, but as long as it works — and it appears it does — it's good enough for the consumer market.
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,…
Can Apple's new AI glow up put to bed accusations that it's losing an all-important industry race?
Sequoia is just one of the top firms that sells same equity at two different prices.
Introducing North Mini Code: Cohere's first open-source agentic coding model. Built for sovereign developers, this efficient 30B MoE model delivers strong software development performance with minimal hardware requirements.
Given how badly burned anyone who took Apple's 2024 WWDC Apple Intelligence announcements at face value was, I'm holding to a strict "I'll believe it when I see it" policy for everything they announced today . The new Siri AI features do at least look feasible with today's…
Tools for Humanity, Sam Altman's identify verification company, is reportedly struggling to generate revenue and will downsize its staff.
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.
Apple is trying to solve one of Safari's biggest weaknesses with AI. Safari has long lacked the robust library of extensions that its rivals have, mainly due to the stringent development requirements from Apple. But now, Apple is inviting users to essentially vibe code their…
ChatGPT-maker OpenAI has filed confidentially for an initial public offering, the company said Monday in a blog post. The filing comes a little more than week after its main rival, Anthropic, also filed to go public, ramping up the race between the two AI firms. OpenAI, which…
Also covered by The Verge AI
Apple spent much of its WWDC keynote highlighting fixes, performance improvements, and long-requested features before unveiling its upgraded AI-powered Siri, signaling that the company wants users to see AI as just one part of a broader effort to improve its software.
As AI experimentation grows more expensive, Apple is waiving cloud API costs for developers with fewer than 2 million first-time App Store downloads.
New features coming this fall alongside two-tiered, Google-powered AI model overhaul.
NotebookLM is getting a big upgrade, but it's only for AI Ultra and enterprise accounts right now.
Apple is adding new AI-powered features to Safari, Shortcuts, and Password apps.
Shortcuts gets an AI upgrade, letting you describe the workflow you want in a prompt.
Apple's AI image generator is getting a makeover that could make it more competitive.
A new spatial "Reframe" feature will let users use AI to adjust perspectives.
73 packages run self-replicating stealer as soon as they're opened by an AI agent.
Siri is finally getting its own app.
"If you're grabbing a bite with friends and point your iPhone at the bill, then [you can] select what you ordered to split the tab with Apple Cash," said Apple VP of Software Sebastien Marineau-Mes.
Pre-training frontier LLMs comes down to throughput. When training spans trillions of tokens across thousands of accelerators, every percentage point of step... Pre-training frontier LLMs comes down to throughput. When training spans trillions of tokens across thousands of…
Vision-language model (VLM) agents are increasingly deployed in interactive game environments. Yet game benchmarks for VLM agents typically report a single first-attempt score per (agent, game) pair, focus on single-agent Solo play, and lack unified protocols for evaluating…
Training reinforcement learning (RL) policies from scratch is costly: it requires careful reward and environment design, extensive tuning, and substantial computation. Yet many control problems already have a functional but suboptimal policy available as a baseline. This paper…
Language models, as multi-task learners, acquire a wide range of abilities during training. A fundamental question is how much task-specific data is needed to learn a given task. Answering this for natural language is difficult: tasks are hard to delineate and can confound one…
Reinforcement learning (RL) has become a key component of post-training large language models (LLMs). In practice, LLM RL is often off-policy because of training-inference mismatch and policy staleness, making trust-region control essential for stable optimization. Mainstream…