Regulation, law, copyright and ethics.
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.
As AI data centres strain the grid, a new approach is being tried: slowing work that can wait while critical services keep running.
AI labs tell corporate customers their data is not used for training. But a retention period alone turned out to be enough to shake that trust.
BloombergNEF projects US data centre natural gas use reaching 18 billion cubic feet a day by 2035, nearly double its forecast from nine months earlier.
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.
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.
High Commissioner Volker Türk asks for three things: clear safety limits, independent verification and industry cooperation. The second is decisive — today companies run safety evaluations on their own criteria.
An industry erased in Nairobi, a bank that changed its hiring condition, and a city pushing AI out of the classroom. The shared lesson: business is making the skill a requirement while education is delaying it.
The 2027-2029 programme sets targets including a Turkish large language model, domestic chip facilities and more TRUBA capacity. But in a list declaring fifteen areas a priority, the only AI item with a date is public data standards.
Protect Democracy has sued four federal agencies to force the release of the framework used to review frontier models before launch. The framework is not classified, yet it still is not being shared.
The Justice Department entered the New York Times copyright case with a 20-page filing arguing that training models on copyrighted text is fair use. Its oddest feature: it declares its own Copyright Office's opposing report unauthoritative.
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.
The complaint targets how the data was obtained, not just how it was used. The company already paid $1.5 billion over the same weak spot.
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.
Anthropic runs probably the strictest verification in the industry. A modular supply chain built on proxies cuts straight through it.
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.
Demand in the connection queue rose from 41 to 125 gigawatts in eight months. The government believes most of it is a mirage.