OpenAI built an LLM whose only job is attacking other LLMs. It's automated red teaming at scale — either the future of AI safety or a cyberpunk ouroboros eating its own tail. Probably both.
Anthropic's 'safety-first' AI just leaked user conversations to Google Search. The $61.5B lab missed Web Dev 101 and your secrets are now SEO.
While Ivies were writing ethics papers about ChatGPT, the University of Florida dropped $70M+ on NVIDIA silicon, built one of academia's most powerful supercomputers, and embedded AI into every single degree program. The gator eats.
Meta's Llama went from 1.4T to 15T training tokens in 18 months. The internet is finite. The hunger isn't. You're the buffet.
Meta's quietly testing StoryKit, an AI app that generates personalized kids' bedtime stories. Because outsourcing parenting to a language model is peak 2025.
DeepSeek-V3 cost $5.6M. GPT-4 cost $100M+. China's budget AI labs aren't catching up—they're playing a different game entirely. Silicon Valley's compute moat was tissue paper all along.
Meta's new photo-to-listing AI for Facebook Marketplace sounds convenient — snap a pic, get a listing. But it's also about to industrialize scams, hand Meta a firehose of commerce data, and let algorithms decide what your stuff is worth.
Mistral AI pivots to robotics with single-camera navigation model Robostral Navigate. Bold tech, smart narrative play — but can a Paris software lab win physical AI?
Oracle's X12 instances with Intel Xeon 6 claim GPU-free AI inference. It won't kill NVIDIA, but for cost-conscious AI deployment, the math actually works. Here's why CPU inference is the sleeper story of 2025.
Meta quietly built an AI tool that auto-scraped public Instagram photos for training data. Users freaked. Meta walked it back — sort of. Here's why your selfies are now machine food whether you like it or not.