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Watch Live →Curated from the frontier of AI: OpenAI, DeepMind, Anthropic, MIT Technology Review, The Batch (deeplearning.ai) — plus academic preprints from arXiv (cs.AI, cs.LG, cs.CL). Refreshed every 30 minutes.
A recent survey shows half of AI agents deployed by enterprises fail despite passing evaluations, revealing a significant trust gap.
8/3/2026
New research explores how language models differentiate between belief and reality.
The MAGE framework, introduced on July 11, 2026, provides new insights into prompt optimization trade-offs.
Research reveals a new method to enhance RAG systems using LLaMA 3 as a reranker, improving efficiency and accuracy.
The TAKE framework introduces a significant advancement in text dataset distillation, achieving extreme compression while preserving task fidelity.
A new study reveals advancements in scaling point-in-time language models to combat lookahead bias in AI.
Researchers develop a graph-based framework to detect disinformation narratives in Russian and Ukrainian Telegram channels.
A study reveals significant accessibility failures in LLMs when translating Korean to Braille, highlighting the need for improved models.
G-SHARE enhances human-factor event diagnosis in nuclear power plants through structured reasoning and expert guidelines.
