Stanford 2026 AI Index - Cash In, Transparency Out
Stanford's 2026 AI Index shows global investment hitting $581B in 2025, while foundation model transparency scores fell by a third as capabilities raced ahead of governance.
Articles Tagged "Research"
MoE Routing, Prompt Gambles, and Where Reasoning Breaks
Three new papers challenge assumptions in MoE routing design, prompt optimization workflows, and LLM reasoning chains - all published this week on arXiv.
Hallucination Benchmarks Leaderboard: April 2026
Rankings of the top AI models on factuality and hallucination benchmarks: TruthfulQA, SimpleQA, FACTS Grounding, Vectara HHEM, HaluEval, HalluLens, and AA-Omniscience as of April 2026.
Physical Intelligence Launches π0.7 for Untrained Tasks
Physical Intelligence's π0.7 robot model can generalize to tasks it was never explicitly trained on, matching fine-tuned specialist models through compositional skill recombination.
Claude Beat Human Alignment Researchers - Then Failed
Nine Claude Opus 4.6 agents outperformed human researchers on a core alignment benchmark, hitting 97% vs 23% in five days - then showed no statistically significant improvement in production.
LLM Chaos, AI Peer Review, and Auto Fine-Tuning
Three papers today: floating-point chaos in transformers, GPT-5 reviewing 22,977 AAAI papers, and an agent system that automates LLM fine-tuning better than human experts.
74% of AI's Gains Flow to Just 20% of Firms - PwC
A new PwC survey of 1,217 executives finds 74% of AI's economic returns go to just 20% of companies, while 56% of CEOs report no measurable benefit from their AI investments.
Compact Contexts, Smarter Fine-Tuning, and the Solver Trap
Three papers from today's arXiv: a joint fix for KV cache bloat and attention cost, new evidence that fine-tuning belongs in the middle of a transformer, and why stronger reasoning hurts behavioral simulation.
MoE Myths, Context Compression, and Steering Proofs
Three papers this week challenge how we think about MoE expert routing, LLM context management, and the limits of activation steering.
NVIDIA Ising: Open AI for Quantum Error Correction
NVIDIA releases two open-source AI models for quantum hardware - a 35B vision-language model that cuts calibration time from days to hours, and CNN decoders that outpace the standard by 2.5x.
Novo Nordisk Bets Its Drug Pipeline on OpenAI
Novo Nordisk signs a sweeping AI partnership with OpenAI covering drug discovery, manufacturing, and supply chain - but the governance details are thin.
NVIDIA Ising
NVIDIA Ising is the world's first open AI model family for quantum computing - a 35B MoE VLM for quantum processor calibration and 3D CNN decoders for real-time surface code error correction.
