AI 资讯 · 2026-09-14

On 25 August, OpenAI fully unveiled Jalapeño, the company’s debut AI accelerator chip. Jalapeño delivers up to 13.4 petaflops of 4-bit compute and accesses 232 gigabytes of the most advanced memory available, linking to it at a blazing 15.4 terabytes per second. Benchmarks cited by OpenAI show that Jalapeño can reduce end-to-end latency (the time between prompt to last token) by up to 3.6x when compared to Nvidia’s GB300—a chip the company currently relies on—and do so while consuming less power

Musk stops attacking Apple over ChatGPT integration but not OpenAI.

Glass Imaging was founded by a pair of former Apple engineers who previously led the team that developed Apple's Portrait Mode.

A group of AI agents asked to solve a series of math problems split into rival factions—when some cheated, others tried to stop them. That whistleblowing behavior, seen for the first time in a recent experiment run by Google DeepMind, could have implications for alignment researchers trying to keep swarms of autonomous AI agents in…

When OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, Google DeepMind cofounder Demis Hassabis, and SpaceX head Elon Musk loosely agreed over the weekend to slow down AI development, skeptics spotted an ulterior motive immediately. The AI titans had declared that their aim was to "pace the frontier," signing on at least partially to a […]

Microsoft is publishing a 37-page "humanist AI code of conduct" today, amid growing safety concerns over AI model progress. Anthropic CEO Dario Amodei called for a coordinated slow down of AI development over the weekend, after researchers warned recently that AI model progress could outpace our ability to safely deploy increasingly complex systems and verify […]

Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user’s voice.

When Codex is the right shape for the problem, when Claude Code is, and how I split 5 specialist agents between them on dense AI capacity work. The post When to Use One Model and When to Use a Team of Agents appeared first on Towards Data Science.

This story appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. This weekend, Dario Amodei, CEO of Anthropic, posted an essay calling for a brake on the pace of development of LLMs. Amodei cites the looming dangers he sees from the technology, from its…

Deloitte’s 2026 technology trends research puts the pilot-to-production failure rate for AI agents at 89%. A Teradata survey adds the shape of that gap: 78% of enterprises have at least one agent pilot running, but only 14% have scaled one to organisation-wide use. Adoption is nearly universal; deployment is rare. The difference is not model […] The post Why Most Enterprise Agent Pilots Never Reach Deployment appeared first on AI News.

Maybe you heard about the AI-controlled vending machine that stocked underwear and live fish. Or the AI manager of a San Francisco store that fired a human employee. Or the AI radio DJ that said its catchphrase, “Stay in the manifest,” 229 times per day.These incidents all emerged from experiments run by Andon Labs, an AI safety company based in San Francisco that puts AI agents in charge of real-world operations and watches what happens. These operations double as testbeds for Andon’s commercia

A viral debate over loops versus graphs points to a bigger shift in how we build AI systems. Here’s what graph engineering actually means, how it differs from prompt, context, and loop engineering, and why it matters. The post Graph Engineering for AI Agents: From Prompts and Loops to Workflows appeared first on Towards Data Science.