Anthropic has reportedly told investors it expects a second consecutive profitable quarter as it prepares for a major IPO on the Nasdaq. The profitability figure is based on an adjusted measure that excludes costs such as stock-based compensation. The company is said to be courting investors ahead of the listing.
The philanthropic organization founded by Microsoft co-founder Bill Gates plans to commit one billion dollars toward broadening access to AI technology. Gates also argued that governments should regulate the technology. The announcement comes amid ongoing debate over the risks AI poses to humanity.
Anthropic has reportedly told its investors that it expects to post a profit for the second quarter in a row. The claim suggests the AI developer's revenue is growing faster than its spending on model training and compute. The report did not include figures for the expected profit or the period covered.
Richard Socher, CEO of You.com and a notable figure in NLP, has spun out a new startup focused on recursive self-improvement. The company has already reached a $5 billion valuation. This move represents a significant bet on advanced AI capabilities.
Nvidia is reportedly negotiating an anchor investment of as much as $10 billion in Anthropic's upcoming initial public offering. The listing could value Anthropic at around $2 trillion, which would make it the biggest IPO on record. Much of the invested capital is expected to flow back to Nvidia through chip purchases.
A Fraunhofer analysis concludes that AI-enabled robotics is developing into a growth industry whose applications reach well beyond humanoid machines. Although humanoid development draws billions in investment, the study argues that data, software and system integration are the decisive factors for the sector.
The AI research startup Listen Labs reportedly walked away from a signed Series C term sheet led by Menlo Ventures as it explored a deal with Salesforce. The funding round was said to value the company at roughly $1.5 billion. Neither the startup nor the involved investors have publicly confirmed the details.
Mecka AI, a two-year-old startup focused on robot training data, is close to securing a funding round led by Sequoia Capital that would value it at roughly $500 million. The deal would arrive just months after the company announced its Series A. Investor interest in robot training data has grown as AI firms look to apply their models to physical tasks.
Venture firm Sequoia has made a second investment in Cymphony, a startup addressing security risks introduced by AI agents in corporate settings. The platform lets security teams see employees, AI agents, and other nonhuman identities in one place, along with the systems and sensitive data each can reach. The funding comes as enterprises grapple with how to govern autonomous agents that hold credentials and access.
OpenAI is accepting applications for a $5 million grant program that will fund independent studies on how generative AI influences adolescent development, well-being, and safety. The initiative is aimed at researchers outside the company who are examining the risks and benefits of AI use among teenagers.
WHY IT MATTERS ↘By bankrolling independent research on adolescent AI use, OpenAI is helping shape the evidence base that regulators, courts, and school buyers will likely cite, while positioning youth safety as a credibility battleground competitors must address. For practitioners, this signals that age-appropriate design, safety evaluations, and possibly age assurance are moving toward standard product and compliance expectations rather than optional features.
OpenAI has announced Daybreak for Frontline Defenders, a $1 billion initiative aimed at organizations that run critical infrastructure and other essential services. The program is designed to broaden defenders' access to OpenAI's most advanced cybersecurity AI, along with training and hands-on assistance. The commitment signals a push to strengthen the defensive side of the cyber landscape against growing digital threats.
WHY IT MATTERS ↘The program positions a frontier AI vendor as de facto security infrastructure for critical services, raising governance questions about vendor dependency and model reliability in sectors where failures are costly. It also pressures rivals like Microsoft, Google, and Anthropic to match large-scale defensive AI subsidies, potentially shifting how security budgets and AI access are allocated across the industry.