Enterprises building autonomous agents powered by large language models face new challenges that traditional test approaches were not designed to address. Agents behave probabilistically, integrate deeply with applications, and coordinate across tools, making isolated accuracy metrics insufficient for understanding real-world performance.
AI could have significant upsides for productivity, but countries will first have to navigate a complicated and expensive landscape as they create digital infrastructure and support disrupted workforces. For countries that already deal with constrained public finances, AI's capital costs could end up sharpening the policy trade-off between assuming higher near-term fiscal risk and delaying participation in AI-driven growth opportunities.
Autonomous agents take the first part of their names very seriously and don't necessarily do what their humans tell them to do - or not to do. But the situation is more complicated than that. Generative (genAI) and agentic systems operate quite differently than other systems - including older AI systems - and humans. That means that how tech users and decision-makers phrase instructions, and where those instructions are placed, can make a major difference in outcomes.
Given the right permissions and with the proper plugins, it could create, modify, or delete the user's files and otherwise change things far beyond what most users could achieve with existing models and MCP. Users would use files like USER.MD, MEMORY.MD, SOUL.MD, or HEARTBEAT.MD to give the tool context about its goals and how to work toward them independently, sometimes running for long stretches without direct user input.
Laboratory safety goggles have finally joined the ranks of smart devices. That's the promise behind LabOS, an AI operating system for scientific laboratories built by the Stanford-Princeton AI Coscientist Team, a group led by Stanford University bioengineer Le Cong and Princeton University computer scientist Mengdi Wang, with founding partners that include NVIDIA. Powered by NVIDIA's vision-language models to process visual data, the system is designed to provide AI with real-time knowledge of lab work so it can determine what causes experiments to fail or succeed and rapidly train new scientists to expert levels by guiding them through experimental protocols.
DeepSeek, the Hangzhou-based lab backed by quantitative hedge fund High-Flyer, has forced a reckoning across the AI supply chain by releasing highly capable models at a fraction of the cost charged by OpenAI, Google, and Anthropic. The result: a cascading price war that is reshaping how companies budget for intelligence, how developers choose their tools, and how the entire economics of foundation models may evolve over the next 12 to 18 months.
OpenAI just announced a massive funding round of $110 billion, which is one of the biggest investment rounds in Silicon Valley history. The investors feature many of the usual suspects, including Amazon with $50 billion, NVIDIA with $30 billion and SoftBank with $30 billion. This investment brings OpenAI to a $730 billion valuation.
We believe the best research teams are built through context, taste and a real feel for where the field is headed next. Recruiting may be an especially good fit for candidates with taste, because their responsibilities at OpenAI include finding people who will move the frontier forward, not just filling roles.
OpenAI has been clear about its priorities: infrastructure, compute, and talent. CEO Sam Altman has repeatedly pointed to the sheer cost of training and running frontier AI models as the primary bottleneck to progress. According to reporting from Bloomberg, a significant portion of this raise will go toward securing GPU capacity through partnerships with data center providers across the United States, Japan, and the UAE.
They basically make the presentation to the Dara AI as a prep for making a presentation to me. Are you concerned they might show Dara AI to the board? But when that changes, he said, that is the point at which I'm going to think, yeah, we are all replaceable.
The core of the argument is that agentic AI will replace human labor in most white-collar industries and will do so with dizzying speed. The consequent abrupt and massive job displacements will lead to crashes in property values and local tax bases, with devastating impacts on communities and much of the public sector.
Tesla has the most advanced real-world AI, and hopefully, it will be approved soon in Europe. We're told by the authorities that March 20th, it'll be approved in the Netherlands. Hopefully, that date remains the same. But I think people in Europe are going to be pretty blown away by how good the Tesla car AI is in being able to drive.
Subscriber momentum accelerated meaningfully to start the year, with January and February on track to be the largest months for new subscribers in our history. People use ChatGPT to learn, write, plan, and build. As usage scales, the product improves in ways people feel immediately: faster responses, higher reliability, stronger safety, and more consistent performance.
Speed defines victory in the AI era, and the War Department will match the velocity of America's AI industry. We're pulling in the best talent, the most cutting‑edge technology, and embedding the top frontier AI models into the workforce-all at a rapid wartime pace.
We believe the best research teams are built through context, taste and a real feel for where the field is headed next; research recruiting is about finding people who will move the frontier forward, not just filling roles.
The main issue, Khan said, was that all apps that are vibe-coded on Lovable's platform are shipped with their backends powered by Supabase, which handles authentication, file storage, and real-time updates through a PostgreSQL database connection. However, when the developer - in this case AI - or the human project owner fails to explicitly implement crucial security features like Supabase's row-level security and role-based access, code will be generated that looks functional but in reality is flawed.
