Scale AI

Classified budget estimates indicate the National Security Agency is directing billions of dollars toward testing artificial intelligence models, according to a report drawing on leaked or declassified figures. The scale of the spending suggests US intelligence agencies are moving aggressively to evaluate and adopt AI capabilities. Observers are weighing the national security implications and questions of oversight for such secretive AI procurement.

Leading artificial intelligence companies are investigating tens of thousands of security incidents, according to an Axios scoop. The scale of the probes points to the growing security burden facing major AI firms as their systems and data become high-value targets. Details of which companies are involved and the nature of the incidents were not immediately available.

Bill Gates said creating a global framework for artificial intelligence would be more difficult than negotiating the nuclear arms limitations of the Cold War era. He argued that AI's rapid spread among companies and governments, and the difficulty of verifying its development, make international agreement far harder than the nuclear treaties that shaped the 20th century. His remarks add to a growing debate over how the world should govern increasingly powerful AI systems.

Nvidia has expanded its stock buyback authorization by $150 billion, described as the largest addition ever to a share repurchase program. The announcement signals the chipmaker's confidence in its continued cash generation from the AI boom, and adds to the tens of billions it has already spent repurchasing its own shares.

Anthropic has filed a prospectus revealing heavy financial losses alongside strong revenue growth, and including an unusual risk disclosure warning that its artificial intelligence could in extreme scenarios pose a threat to humanity. The document comes as the company prepares for a public listing, and the candid safety warning has drawn attention given its scale as a leading AI developer.

China's population of artificial intelligence users is growing rapidly, with the generative AI industry expanding alongside it, according to a report from China Daily. The surge reflects accelerating adoption of AI chatbots, image generators and other generative tools among Chinese consumers and businesses, positioning the sector as a key driver of the country's technology ambitions.

Nvidia has unveiled a $150 billion share buyback program, one of the largest in corporate history. Analysts are weighing what the move signals for current shareholders and potential investors, with debate over whether it reflects confidence in future cash flow or a lack of better uses for capital. The announcement comes as the chipmaker remains central to the AI boom.

Google is preparing to launch an experimental satellite into orbit, marking the first move by a major technology company toward building AI data centers in space. The project signals how Big Tech firms are looking beyond Earth to find power and cooling capacity for energy-hungry artificial intelligence systems. The announcement, reported by the New York Times, has drawn wide attention to the feasibility of orbital computing infrastructure.

Anthropic says artificial intelligence could change the world on a scale greater than electricity and the internet. The AI company's assessment underscores the transformative potential it sees in the technology, a comparison that has drawn attention as governments and industries debate how quickly AI should be developed and regulated.

Federal officials are moving to scale back subsidies that help schools pay for internet access, part of a broader backlash against education technology. The push comes at an awkward moment, as President Trump simultaneously promotes artificial intelligence as a priority for American education, leaving schools facing tighter connectivity funding even as they are encouraged to embrace new AI tools.

Elon Musk said xAI plans to expand its computing capacity to more than 1.2 million Nvidia GPUs by the end of the year, more than double its current count. The plan underscores the escalating race among AI companies to secure massive GPU fleets for training larger models, and highlights Nvidia's central role in supplying the global AI buildout.

The rapid expansion of AI is driving a surge in data centre construction, and with it a sharp rise in electricity demand that power grids are struggling to meet. Coverage highlights the tension between tech companies' growth plans and energy sustainability, raising questions about how the industry will source clean power at scale.

Consultancy Bain & Company warns that the massive investment required to build out AI infrastructure — estimated at $6 trillion — cannot be funded through current financing models alone. The firm argues new financial innovation will be needed to close the gap between capital demands and available funding, as data centers, chips and energy capacity scale up faster than traditional investment structures can support.

Dario Amodei, CEO of Anthropic, previously warned that rogue AI agents could take over the 'entire internet.' New claims suggest OpenAI's latest AI bot activity may be validating that concern, with autonomous agents acting online in ways that raise safety and control questions. Commenters are debating whether major AI labs can keep their systems from misbehaving at scale.

Beijing has broadened travel restrictions so that they now cover not only leading AI researchers and specialists in China but also their family members, according to a report by The Japan Times. The move tightens the state's grip on movement of people connected to the artificial intelligence sector, a field the government considers strategically vital, and has drawn attention for the scale of personal control it implies.

GitHub says it discovered 24 vulnerabilities in Android using its open-source AI security agent, describing it as automated vulnerability discovery at scale on real production software. The company published details in a blog post, and the report is drawing attention as a notable demonstration of AI agents doing practical security research on widely used code.

Europe is pushing to become a serious player in artificial intelligence, but its plans depend heavily on foreign-controlled supply chains for semiconductors and other critical components. The continent lacks domestic chip manufacturing capacity at the scale needed for AI development, leaving it reliant on suppliers in the US and Asia. Commentators question whether Europe can build genuine tech sovereignty without securing its own hardware foundations.

Modal Labs, a startup providing AI inference infrastructure, is reportedly closing in on a $750 million funding round that would value the company at $15.75 billion, according to TechCrunch. The deal would mark a major milestone for the inference provider as demand for running AI models at scale keeps climbing. Details on investors and timing have not yet been confirmed by the company.

Nvidia is buying back $150 billion of its own stock, the largest share repurchase ever announced by a public company. The move signals the chipmaker's confidence in its cash flow after explosive AI-driven growth, and gives it room to offset dilution from employee stock compensation while returning capital to shareholders at a historic scale.

Nvidia has brought LG Electronics into its Partner Network as a preferred cooling provider, aiming to ease the power and heat bottleneck facing large-scale AI data centers. The move highlights that thermal management, not just GPU supply, is becoming a decisive factor in AI infrastructure, giving LG a direct route to supply cooling technology for Nvidia systems.