AI News

OpenAI and Microsoft looked like an artificial intelligence power couple, but the AI lab’s growth started to make Microsoft feel a bit boxed in. After all, it’s actually the trillion-dollar company, not just a theoretical one. So rather than stay locked into a relationship that was holding it back, Microsoft decided it was time to prove that it can achieve superintelligence on its own. The two haven’t officially broken up, but back in April, they updated t

OpenAI is calling for the formation of an international organization to oversee AI development. And to slow it down, if necessary: “One goal of such an organization should be to make it possible for the world to take coordinated action, including slowing frontier development when needed, so societal resilience, safety, and alignment can keep pace,” the company wrote in a blog post published Monday. The memo, written by OpenAI CEO Sam Altman and chief scien

Back in April, Anthropic announced it had built a new AI model, called Mythos, that had an unprecedented ability to find gaps in cybersecurity systems. Citing the risk of the powerful new model falling into the wrong hands, the company initially withheld its public release, only slowly granting access to a small group of early testers through a project known as Project Glasswing. Today, Mythos finally made its first public debut—albeit in a considerably ne

Large language models have led to a slew of pro se lawsuits where people believe they can represent themselves with the help of AI. You’d expect better for actual lawyers, but it turns out you’d be wrong. As 404 Media first reported, a Mississippi judge recently tossed a case and sanctioned lawyers on both sides for submitting court filings riddled with AI-fabricated information. The case was a dispute between lawyer Tom Withers and the city of Aberdeen, M

Democrats in Congress are pushing to pass bills that would limit the Department of Defense’s use of artificial intelligence. This week, Democratic Sen. Adam Schiff from California unveiled the Human Authority in Lethal Operations (HALO) Act, a bill that would require a human commander to have the final say on any course of action taken by autonomous weapon systems. The bill would also mandate detailed record-taking of how military decisions were made and t

Even if they’re headquartered elsewhere in the Seattle area rather than the city proper, Microsoft and Amazon are two colossal tech companies famously pouring umpteen zillion dollars per second into AI compute. Nonetheless, on Tuesday, Seattle passed a one-year ban on large data centers. In April, the Seattle Times reported that the city’s electrical utility, Seattle City Light, was facing a data center problem: four mystery companies were beginning work o

Reuters reported Tuesday that “two people who attended investor presentations” ahead of the SpaceX IPO have leaked exciting news about SpaceX’s plan for AI data centers in space: There will supposedly be a tech demo launched by the end of next year. That’s super soon when you consider the company has also said in its S-1 filing (also according to Reuters), that the related initiatives “involve significant technical complexity and unproven technologies, and

Developing a large feature from scratch often starts deceptively easy. The client explains the idea, the team discusses the screens, developers roughly understand the architecture. It seems ready to start. But as soon as you move from the general concept to specific behavior, questions arise, each with its own answer from every team member.Let's take a web system for booking shared equipment. An employee selects a projector and a time, confirms the booking

I have a pet-project d9c, a terminal interface for Docker on remote servers. It runs locally, connects to the host via SSH, and nothing needs to be installed on the server. Inside the table, navigation is like in vim, commands are entered with a colon, logs, shell inside the container, compose. In short, it's k9s, but only for Docker. d9c But the article isn't about the interface. For the past few months, I've been doing almost everything through Claude Co

From dusty folders and piles of email to a unified repository with documentationWe've come a long way from sending requirements in Word via email to AI-generated documentation directly from the developer's Merge Request. Often, this happens entirely without the involvement of an analyst until the final review stage. But does automation make our documentation better?In this article, I want to look back on the evolution of how we managed project documentatio

Until it reached the fan I got a B2B SaaS project in the stage that any tech lead dreams of: "Almost ready. Release in two weeks." Two out of three API calls returned HTTP 500. Several generations of agent fixes had accumulated in the code. Whenever a new error was found, the agent was asked to figure it out and fix the bug. The agent would insert a patch in the form of another condition. The state of the object was determined by indirect signs. In 21 plac

Messages consist of "parts" (parts): text, model reasoning, tool calls, files, sources. Therefore, the same template shows both the regular answer and the reasoning from Claude or Qwen3, and the tool call. The API key remains on the server. The server part is a regular Web-standard request → response handler that works in Nuxt/Nitro, Node, Bun, Deno, and edge runtimes:// server/api/chat.post.ts (Nuxt) import { createLLMHandler } from 'vue-llm/server' impor

Credit: Unsplash/CC0 Public Domain Professional basketball is faster, more physical, and increasingly tactically sophisticated. Even the smallest foul can tilt the balance of a game. Now, research published in the International Journal of Computational Systems Engineering shows how artificial intelligence, specifically machine vision, could bring unprecedented precision to one of the sport's most contested areas: the detection of fouls. Machine vision is a