Timeline
LLMs spontaneously develop human-like brain regions for language, math, physics, and social reasoning, as reported by @LiorOnAI.
AI agent ordered surplus candles due to lack of guardrails in inventory management
Paper (2604.20065) argues LLM agents will reshape personalization, proposing 'governable personalization'.
Columbia professor publishes argument that LLMs are fundamentally limited for scientific discovery due to their interpolation-based architecture.
New mechanistic studies confirm LLMs exhibit sycophancy as core reasoning behavior, not a superficial bug
Research shows LLMs can de-anonymize users from public data trails, breaking traditional anonymity assumptions
Researchers proposed training framework for formal counterexample generation in Lean 4, addressing neglected skill in mathematical AI.
Industry projections forecast agents handling 50% of online transactions by 2027
Gartner projects 40% of enterprise applications will feature task-specific AI agents by 2026
Researchers propose test-time modifications to agentic RAG systems with contextualization and de-duplication modules
Ecosystem
Agentic RAG
No mapped relationships