DeepMind’s latest model reveals a structural breakthrough that traditional benchmarks miss, and it might force a complete rewrite of how we measure AI progress
Meta’s SAM 3 finally delivers on the promise of zero-shot segmentation with concept awareness, turning natural language prompts into precise pixel masks. Here’s why it’s both revolutionary and frustratingly limited.
A new LLM backdoor technique uses the word ‘Sure’ as a trigger, creating a compliance-only attack that requires no malicious training data and bypasses conventional safety measures.
Supertonic’s open-source TTS engine claims revolutionary speed for edge deployment, but developer reactions reveal surprising trade-offs.
Google launches Antigravity, a vibe-coding tool supporting GPT-OSS alongside Gemini, potentially reshaping AI-native development ecosystems.
Microsoft’s Whisper Leak attack can guess what you’re discussing with AI chatbots by analyzing encrypted traffic patterns – here’s how it works and why it matters.
Examining McKinsey’s AI Mesh vision and the technical reality behind agent communication protocols like ACP and MCP
Egocentric-10K’s 1-billion-frame factory dataset marks the end of synthetic training data and the beginning of something much more troubling.
PewDiePie’s local AI experimentation reveals consumer-grade hardware can challenge cloud services, while exposing the raw power and risks of open models.
New 24B and 123B Precog models write internal drafts before responses, delivering smarter outputs with less computational overhead.
Behind the ICC’s radical migration from Microsoft 365 to Europe’s openDesk platform lies geopolitical tensions, data sovereignty concerns, and a new digital world order.
93% of executives use unapproved AI tools, higher than any other employee group, creating massive data leakage risks while writing AI policies they ignore.
