Stathis.GR·18h ago# Can Vision LLMs Play Ms. Pac-Man?What we learned about AI spatial reasoning by letting them play a Pac-Man game.*
Vahid Naghshin·1d agoTwo Frozen Giants and a 32-Token Bridge: How BLIP-2 Teaches Vision to Talk to LanguageA vision model that can see and a language model that can reason have never met. BLIP-2 introduces them through a very small intermediary.
Altan "Atabarezz" Atabarut·2d agoThis is it! #59: Turks are finally putting AI to proper use. Again! 😅🐟Remember when I shared a Turkish guy asking ChatGPT to pick the best watermelon? 🍉 That was This is it! #1, back in 2025.
ComfyAI·2d agoWhen the Chart Lies, AI Just GuessesMultimodal large language models have gotten remarkably good at reading charts. But what happens when the chart itself is misleading? Can…
Anuj Sadani·Oct 24PDF or Image for an LLM? Measure the Processing PathTwo teams can send the same PDF to different AI systems and receive different token counts, latency, and extraction quality. Even within…
InVesta VisionbySalih İbrahimbaş·Oct 17When AI Should Say “I Don’t Know”We tested four document AI models. All 144 inference jobs completed successfully. None of the candidates met our release criteria.
ComfyAI·Oct 16Do AI Agents Actually Make Medical AI Better? A Hard Look at the Gains and the CostsEveryone seems to agree that agents, meaning AI systems that can plan on their own, call tools, and reason across multiple steps, are going…
ComfyAI·Oct 14What in the Training Data Teaches LLMs When to Trust Themselves?Today’s large language models seem to make a judgment call. When they’re confident about a fact, they rely on their parametric memory. When…
Carnot Research Pvt. Ltd.·Oct 13Spatial Intelligence for Indoor Navigation Systems: Combining DINOv2, XFeat, and a Dash of PhysicsHow we combined deep learning visual feature extraction, classic geometry, and spatio-temporal filtering to build a real-time, GPS-free…
