RegulationThe Decoder·September 14, 2026

Sam Altman calls for pacing AI development but promises rapid progress will continue

Sam Altman is doubling down on slowing AI development. OpenAI now runs safety checks before major training runs, and according to The Information, the company has been talking with Anthropic and Google for months about joint self-regulation. The article Sam Altman calls for pacing AI development but promises rapid progress will continue appeared first on The Decoder.

This is a summary curated by AIFuture. Read the complete article at the original source:

Read the full story on The Decoder

More AI News

AI ResearchMarkTechPost

Meta Introduces ZGateway: A Stateless Proxy Tier That Unifies ZippyDB Traffic and Handles Over 1 Billion Operations Per Second

Meta engineering team introduced ZGateway, a proxy tier that now sits between client applications and ZippyDB, the Meta’s most widely used key value store. ZippyDB backs product metadata, counters, and configuration at billions of operations per second. ZGateway started as a fix for connection sprawl across more than a million client hosts and grew into […] The post Meta Introduces ZGateway: A…

Sep 15, 2026

AI ResearchMarkTechPost

Agent-net Open Sources Webagent: A Go Harness That Turns Any Website into a Guarded AI Agent

Agent-net, the team building an agent-to-agent marketplace where AI agents discover, trust, and pay each other, has released Webagent, an open source harness for standing up public-facing business agents. So, basically you give it your website, get an agent, and let it talk to other agents. Instead of writing orchestration code, a business fills in […] The post Agent-net Open Sources Webagent: A…

Sep 15, 2026

IndustryTechCrunch

Jensen Huang took a call from Trump, and showed off something else, too

When Jensen Huang took a live call from Trump, some of us were more focused the phone he used to take it.

Sep 15, 2026

Build the skills behind the headlines

Generative AICoursera

Generative AI for Everyone

Andrew Ng explains how generative AI works and how to apply it in your work and life — no coding required.

Beginner·Subscription

View Course

Data ScienceCoursera

Deep Learning Specialization

Five-course series on neural networks, CNNs, sequence models, and transformers from DeepLearning.AI.

Intermediate·Subscription

View Course

Data ScienceCoursera

Machine Learning Specialization

Andrew Ng's flagship program covering supervised and unsupervised learning, neural networks, and best practices for real-world ML.

Beginner·Subscription

View Course

Never miss what matters in AI

Get the most important AI news and course picks in your inbox.