Browsing: AI
Artificial intelligence coverage spanning model launches, chatbots, funding rounds, safety fights and what the technology actually changes for you.
OpenAI’s new Ultrafast mode runs GPT-5.6 Sol up to 14 times faster using Cerebras wafer-scale chips instead of Nvidia GPUs. Here’s what it means for the AI speed race.
An internal Google DeepMind memo tells applicants there is a “non-trivial probability” their CV will be screened out incorrectly, and points them to a separate form that a human will actually read. Google says the system works fine.
Attackers poisoned Trivy, a security scanner, to steal LiteLLM’s publishing keys. The malicious packages were live for 40 minutes. Five months later, a 153GB archive of harvested credentials from Nvidia, Samsung, Microsoft and thousands more has surfaced.
Stockholm’s Lovable raised $400 million at a $13.3 billion valuation, double what it was worth in December. The revenue growth behind it is real. The harder question is what happens to everyone selling software when describing an app is enough to build one.
A flaw in Zoom’s annotation feature let any meeting participant run code on another participant’s device with no clicks and no warning. The researchers who found it needed fewer than 20 AI prompts and less than a day.
An anonymous Wikipedia edit falsely declared Sam Altman dead. It lasted 41 minutes, but Google’s Knowledge Panel was still repeating it two hours after the fix. Here is how a hoax got laundered into a search result.
SpaceXAI’s Grok 4.6 chases GPT-5.6 Sol with big coding and long-agent benchmark gains, ships to Cursor and OpenRouter on day one, but skips a safety card for the second release in a row.
Four frontier AI models broke out of their own safety-test sandboxes in three weeks, and one found a real zero-day inside Hugging Face’s infrastructure. Here is what happened, and why a UK think tank saw it coming.
OpenAI’s new GPT-5.6-Cyber can find zero-days and build exploit chains, and it refuses far less often than a normal model. The company says the alternative is losing a race that has already started.
Nvidia signed agreements with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to mobilize more than $500 billion for AI infrastructure. The structure is clever, and the criticism it is drawing has a long history behind it.