Workers describe a deteriorating culture at Block, the company behind Square and Cash App, where layoffs continue and employees are expected to use AI tools daily. After hundreds of workers were laid off in early February from Jack Dorsey's Block, some of the people remaining at the company say the internal culture has devolved to a point where performance anxiety is running rampant, using generative AI is required, and overall morale is rapidly deteriorating. Block is the parent company behind the merchant payment processor Square and the payment app Cash App. "Morale is probably the worst I've felt in four years," reads an employee complaint submitted to Dorsey in a recent all-hands meeting, a transcript of which was seen by WIRED. "The overarching culture at Block is crumbling."

OpenAI's Sam Altman: Global AI regulation'urgently' needed OpenAI CEO Sam Altman says the world "urgently" needs global regulation of fast-evolving AI, calling for an international oversight body. The "democratisation of AI is the only fair and safe path forward," he said. Palestinians in Gaza say'Board of Peace' will further occupation Gaza'stabilization force' commander outlines security plans Trump praises'magnificent' B-2 bombers that struck Iran in 2025 Jordan-Israel relationship'at its worst' after West Bank plans Trump's'Board of Peace' convenes for first time Amid tensions, Ukraine's Chernobyl site remains part of a war zone What we know so far about arrest of UK's former Prince Andrew

PCWorld examines OpenClaw, an AI agent developed by Peter Steinberger that recently gained OpenAI backing through an acquisition. This autonomous tool can read, edit, delete files and build programs with system-level access, demonstrating powerful agentic AI capabilities. Despite its potential for unprecedented automation, OpenClaw poses significant security risks including data deletion and prompt injection vulnerabilities, making immediate installation inadvisable for newcomers. A month ago, practically no one had heard about Peter Steinberger's personal AI side project. Now it's taken the AI world by storm, and it just got the backing of none other than OpenAI itself. First known as Clawdbot and later as Moltbot, the now re-rebranded OpenClaw served as an "I know Kung Fu" moment for its earliest users, who were jolted by the capabilities and potential of the AI-powered tool. Put another way, OpenClaw took what had previously been an abstract concept--"agentic AI"--and made it real. It's exciting and even vertiginous stuff, and if this story marks the first time you've heard of OpenClaw, you absolutely, positively shouldn't install it.

This protocol is often regarded as a "golden compass" for navigating SoT A detectors. But can these stand-out "winners" be

The heads of AI companies OpenAI and Anthropic refused to hold hands in a group photo at the opening of a major AI summit in India. The rivalry between Sam Altman of OpenAI and Dario Amodei of Anthropic escalated this year when the latter ran attack ads during the Super Bowl. South Korea's ex-President Yoon gets life for insurrection Mark Zuckerberg appears to be'served' new lawsuit upon arrival at court

The problem of model collapse has presented new challenges in iterative training of generative models, where such training with synthetic data leads to an overall degradation of performance. This paper looks at the problem from a statistical viewpoint, illustrating that one can actually hope for improvement when models are trained on data contaminated with synthetic samples, as long as there is some amount of fresh information from the true target distribution. In particular, we consider iterative training on samples sourced from a mixture of the true target and synthetic distributions. We analyze the entire iterative evolution in a next-token prediction language model, capturing how the interplay between the mixture weights and the sample size controls the overall long-term performance. With non-trivial mixture weight of the true distribution, even if it decays over time, simply training the model in a contamination-agnostic manner with appropriate sample sizes can avoid collapse and even recover the true target distribution under certain conditions. Simulation studies support our findings and also show that such behavior is more general for other classes of models.

The days of tech giants buying up discrete chips are over. AI companies now need GPUs, CPUs, and everything in between. Ask anyone what Nvidia makes, and they're likely to first say "GPUs." For decades, the chipmaker has been defined by advanced parallel computing, and the emergence of generative AI and the resulting surge in demand for GPUs has been a boon for the company . But Nvidia's recent moves signal that it's looking to lock in more customers at the less compute-intensive end of the AI market--customers who don't necessarily need the beefiest, most powerful GPUs to train AI models, but instead are looking for the most efficient ways to run agentic AI software.

PCWorld reports that OpenAI is launching new security features for ChatGPT, including Lockdown Mode and Elevated Risk labels to combat growing threats. Lockdown Mode restricts external interactions and disables web browsing for high-privacy users, while risk labels clearly mark potentially dangerous features. These updates specifically address prompt injection attacks where malicious prompts attempt to trick the AI into performing harmful actions. OpenAI is launching two new security features in ChatGPT to address growing threats to its AI systems, according to a recent blog post . As AI services increasingly connect to wider parts of the web and more external apps, the risk of so-called "prompt injection attacks" also increases.