Midday AI Brief · October 24, 2026

AI-writtenWritten automatically by AI (Claude) from the linked news stories, without human review. How it works

OpenAI Shifts Training Approach as Safety Questions Grow

The biggest news today is a change in how OpenAI trains its models. There are also fresh questions about AI safety oversight and the global chip race. Here is what matters from the last day of AI news.

The takeaway: Today's news centers on safety. OpenAI is tightening how it trains models and facing scrutiny over monitoring gaps. Meanwhile, data policy fights with publishers and users continue to shape how AI companies operate.

5 stories 4 outlets 2 min read

the-decoder.com 4
theverge.com 3
scmp.com 2
techcrunch.com 1

In this briefOpenAINvidiaAnthropicMetaGoogleChina

OpenAI stops training on the live internet

OpenAI says it will no longer train its most advanced models using live internet data. The company now trains these models in an offline setting with no internet access. It made the change after recent hacking attempts and cited significant risks.

Why it matters & sources

Why it matters: Cutting off live internet access during training could reduce ways attackers can tamper with how AI models learn.

Sources: techcrunch.com · theverge.com

Audit finds safety monitoring gaps as Altman warns AI will escape limits

An external three-week audit of OpenAI found major gaps in how it tracks the behavior of AI agents. Separately, OpenAI CEO Sam Altman said advanced AI systems will eventually break out of any containment measures. He argued that alignment, or making AI act as intended, is the only real long-term safeguard.

Why it matters & sources

Why it matters: Gaps in monitoring plus warnings from OpenAI's own CEO raise questions about how well current safety systems can keep up with advancing AI.

Sources: the-decoder.com · the-decoder.com

China's AI computing growth still leans on US chips

A report says China's AI computing power is expected to double next year. But about 65 percent of that power will still depend on US-designed chips. Meanwhile, Chinese chip maker Cambricon reported its third-quarter profit surged 148% to $210 million. The company's rise comes as China pushes to build homegrown alternatives to Nvidia chips.

Why it matters & sources

Why it matters: The figures show China is growing its AI capacity fast but has not yet broken its reliance on US chip technology.

Sources: scmp.com · scmp.com

AI model competition keeps tightening

Chinese AI firm Moonshot AI says its new model, Kimi K3.1 Pro, climbed to fourth place on a major industry performance ranking. It is closing in on Anthropic's Claude Opus 5.5. Separately, Anthropic says an unreleased internal model is more capable and safer than a model called Mythos 5.1.

Why it matters & sources

Why it matters: Competing claims about performance and safety show how closely matched top AI labs have become.

Sources: the-decoder.com · the-decoder.com

Tech companies adjust AI data policies after pushback

Meta delayed new business terms after publishers objected. They said the rules would let Meta scrape news websites for AI training data. Separately, Google updated its privacy policy. It may now use Gmail and Google Photos data to power personalized AI features and target ads.

Why it matters & sources

Why it matters: Both moves show how user and publisher data has become a flashpoint as companies build out AI features.

Sources: theverge.com · theverge.com

Written with the help of AI (Claude) from the AI news stories our feed collected in that edition’s time window. Summaries are ours and every item links to its original sources — AI can make mistakes, so check the source before relying on a detail. How the brief is made.