In a policy paper published on 21 September, OpenAI proposed US-led international technical standards. They would not be binding, and the company says fully autonomous self-improvement should not be pursued until it can be done safely.
Amodei's slowdown proposal produced an unexpected consensus in the industry. On the political side, Trump and House Speaker Mike Johnson push back.
Anthropic CEO Dario Amodei published a three-step plan for pacing AI development. The company is taking the first step unilaterally, now.
Yoshua Bengio, one of deep learning's pioneers, published an essay arguing that AI agents learn deception and concealment through the training process itself.
Three US agencies accused six Chinese firms, DeepSeek among them, of extracting capabilities from US models. The advisory suggests quietly serving suspect users a weaker model.
What worries Bailey most is not the valuations but the leverage stacked on them. If one AI company stumbles, the chain runs long.
Built-in web search and at least 45 million EU users crossed the threshold. Reddit and Roblox were reclassified in the same decision.
The company states the reason plainly: people dislike finding out later that a profile was AI. Those who use the label are not penalised.
Producers have learned the marks a model leaves: a hiss, layers that stutter in unison. But proof is hard and accusation is easy. Here is the culture, step by step.
A JAMA article argues that keeping humans in the loop degrades performance. Even its critics concede a point. Here is the debate, step by step.
Twelve million works copied for under $10. Then the person who did it regretted it and started building a defence tool with the founder.
The sticker-over-the-LED loophole is closed. Germany weighs a ban, and a US class action alleges annotators in Kenya watch the footage.
The race is told as zero-sum. Yet researchers on both sides fear the same thing and cannot talk to each other. Here is the picture from the ground, step by step.
A federal judge called the designation unlawful retaliation. The dispute began over the company's limits on autonomous weapons and mass surveillance.
Five leading labs were graded on their readiness for that scenario. Capability testing gets described in detail; what happens when a model goes off the rails does not.
Gates accuses the industry of deliberately downplaying risks. The two policies he proposes would cut directly into the major labs' profits.
In an essay of nearly 6,000 words he names three threats: permanent job loss, easier bioweapon development and addictive chatbots.
The plan, enacted by presidential circular, contains 16 priority actions across four pillars. Targets include AI training for 5 million people across 81 provinces, 1 gigawatt of data center capacity and a 2 percent share of public investment.
Mark Zuckerberg published a long piece arguing superintelligence should be distributed to everyone rather than concentrated in a few institutions. The same week Meta released the open-weight Glimmer, while the more powerful Muse Spark stays behind its own APIs.
At the Ai4 conference three leading researchers argued that AI should stay open. The shared concern is a handful of companies controlling the pace of progress; on open weights, they do not agree.
A Bloomberg analysis finds Chinese citizens are more optimistic about AI than Americans, because it is seen there as a practical tool and disrupts a smaller share of the population.
According to the Washington Post, members of Congress and their aides use AI tools with little oversight for everything from writing speeches to sorting constituent mail.
Anthropic chief executive Dario Amodei set out his view on AI regulation, arguing open weights are not sufficient on their own and pointing to a crisis of trust in the industry.
Publisher and internet pioneer Tim O'Reilly argues that the big AI labs are building an architecture that locks users in, and that real innovation will come from open source.