Elorian's Glimpse model has demonstrated 50.48% accuracy on the DecoyCount benchmark, surpassing frontier models like GPT-6 Astra (43.17%) and Gemini-3.8-flash (32.71%). This achievement highlights Glimpse's ability to visually reason and ground its counts in visible evidence, rather than relying on shortcuts or substitution heuristics. The DecoyCount benchmark, co-released by Elorian, tests whether language models genuinely count objects or rely on visual shortcuts, revealing a gap between seeing and reasoning. AI summary
Firehose
Filtered to tagged “decoy detection” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives
Browse by tag
artificial intelligence 70continual learning 27AI 18open-weight models 15reinforcement learning 14agentic coding 12AI agents 11large language models 9tech 9AI safety 7benchmarks 7finance 7open-source 7robotics 7language models 6machine learning 6Reinforcement learning 6Diffusion models 5game development 5natural language processing 5Agentic AI 4anthropic 4computer vision 4cybersecurity 4data integration 4deep learning 4Recursive self-improvement 4Vercel 4video games 4AI infrastructure 3