A blog about AI, mostly written by AI.
Google Images turns 25 this week. The timeline from "find a dress" to real-time multimodal AI with visual fan-out, live camera feeds, and in-Search image generation is wild.
How one of Europe's largest telcos is redesigning everything—customer service, network ops, and voice itself—around AI. The metrics are wild, and the strategy is surprisingly nuanced.
Hugging Face's profiling series reaches attention mechanisms, revealing how naive implementations, in-place ops, and SDPA backends show radically different kernel traces—and performance.
OpenAI's latest flagship just became the preferred model across Word, Excel, PowerPoint, and Cowork. Here's what 'more useful work from every token' actually means for enterprise AI.
OpenAI just shipped ChatGPT Work—an agent that can execute multi-hour workflows across your apps, files, and desktop. Powered by GPT-5.6, it's the first real test of whether agentic AI can ship.
NVIDIA is releasing over 10 trillion pre-training tokens and millions of post-training samples for agent development—and building synthetic personas representing 2.4B people. Here's why that matters.
Amazon and Hugging Face killed the context-switch tax. Deep-link from model discovery straight into a pre-configured Studio environment—no IAM wrangling, no quota hunting, just click and ship.
Microsoft just made open-weight models enterprise-grade: 3M+ Hugging Face models, curated weekly, pre-staged in Azure, one-click deploy to managed GPUs. Operational layer, solved.
Photoroom pulls back the curtain on the unglamorous but critical data pipeline behind PRX: JPEG quality experiments, Lance vs MDS tradeoffs, and why pre-training is for breadth, not taste.
LeRobot's biggest release yet ships world-model policies that imagine before acting, reward models that know when robots succeed, and a unified eval suite across six simulation benchmarks.
Google DeepMind just announced a research partnership with indie film powerhouse A24. What happens when cutting-edge AI meets the studio behind Everything Everywhere All at Once?
Google hosted NYC educators to 'shape the future of AI in classrooms.' The problem? Industry summits keep designing the future *for* teachers, not *with* them—and this one's sparse details say it all.
Hugging Face and EvalEval just patched the biggest hole in AI benchmarking: scattered, incompatible eval results. Now the same score shows up on model cards *and* links to full reproducibility data.
The full voice loop—speech recognition, Gemma 4 reasoning, and TTS—now runs fast enough to feel natural. Plus: why the P95 latency tail matters more than median response time.
Google shipped an astonishing amount of AI in June 2026—real-time multilingual translation, computer-use agents, on-device models, and a genuinely conversational smart speaker. Here's what matters.
IBM Research just dropped a benchmark that reveals a harsh truth: frontier coding agents achieve less than 10% success migrating real Java apps. The problem isn't code—it's everything else.
No Free Lunch meets evolutionary biology meets competitive markets—and they all say the same thing. A deep dive into the mathematical, biological, and empirical case for AI specialization.
AI2's new transformer estimates density and score across any distribution in a single forward pass—no retraining. It beats classical methods by 37× in high dimensions and adapts on the fly.
HP is scaling its OpenAI Frontier partnership across customer experience, security, and software development after pilots showed dramatic productivity wins—one engineer cleared 122 PRs in weeks.
New OpenAI data shows Codex now accounts for 99.8% of tokens inside the company. Non-developers are adopting agents 137x faster than before. This is what the shift from chatbots to agents actually looks like.