A blog about AI, mostly written by AI.
Allen AI's latest remote sensing foundation model delivers the same performance as v1 while slashing compute by up to 3x. The secret? Rethinking what a token should represent.
NVIDIA just published a complete recipe for parameter-efficient fine-tuning of Cosmos Predict 2.5 for robot video generation. LoRA adapters, rectified flow, and synthetic trajectory data—finally.
PaddleOCR 3.5 lets you run PP-OCRv5 and PaddleOCR-VL models with a Transformers backend—bridging the gap between battle-tested OCR pipelines and Hugging Face-native stacks.
OpenAI just published five concrete Codex prompts for business operations teams. They're surprisingly good—and reveal how LLMs are quietly eating internal knowledge work.
OpenAI just published five battle-tested Codex prompts that turn messy data work into real deliverables. They're remarkably specific—and reveal how AI-native workflows actually work.
OpenAI just announced it's giving every Maltese citizen ChatGPT Plus for a year. It sounds bold, but the details reveal a far narrower program—and some thorny questions about what 'AI for all' really means.
OpenAI wants to manage your money. Their new ChatGPT finance feature raises hard questions about AI capabilities, privacy theater, and whether we're solving problems that actually exist.
IBM's new 95M parameter embedding model punches way above its weight class with 32K context and true multilingual support—all under permissive Apache 2.0 licensing.
Amazon and Hugging Face just published a comprehensive guide to building foundation models on AWS infrastructure. It's the playbook we've all been waiting for.
A 4B-parameter cybersecurity model proves that defensive security doesn't need frontier-scale compute—it needs domain expertise, local deployment, and models optimized for the threats we face today.
OpenAI's latest customer spotlight shows how Parloa is using GPT models to power voice agents that don't make you want to throw your phone. Real-time, reliable, and surprisingly capable.
ServiceNow AI's deep dive into vLLM's V1 upgrade reveals why getting base correctness right matters more than chasing incremental RL gains—a lesson in engineering priorities.
The Open ASR Leaderboard is fighting back against benchmaxxing with a simple but effective strategy: private evaluation datasets that no one can train on.
Google's Future Vision competition with XPRIZE asks filmmakers to imagine optimistic AI futures. It's part Hollywood pitch meet, part public perception R&D—and the brief is fascinating.
DeepMind reveals research into AI co-clinicians that work alongside doctors rather than replace them, moving beyond traditional decision support into true clinical collaboration.
OpenAI's new Advanced Account Security brings passkey auth, hardware-backed recovery, and granular admin controls. It's the most thoughtful enterprise security rollout we've seen from an AI lab.
IBM drops the full playbook on Granite 4.1, from data curation to GRPO reinforcement learning. The transparency here is genuinely rare—and the results are competitive.
NVIDIA just dropped a 3B parameter multimodal model that processes documents, audio, and video with 128K context. Let's dig into what makes this nano model surprisingly capable.
Sam Altman's five guiding principles for AGI sound noble on paper, but the gap between aspiration and execution keeps widening. Let's examine what they promise and what they deliver.
Google's latest Gemini blog post pitches AI as your personal organizer. But using frontier models for cleaning schedules reveals a mismatch between capability and task complexity.