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AI Research

Reporting on the research behind the products: new training methods, benchmarks, retrieval and reasoning techniques, and the papers that move the field.

We summarise what a result claims, how it was measured and where its limits are, in language that does not need a machine learning background.

Showing 49–54 of 54 articles

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AI Research Publishing
Should I submit to NeurIPS? A realistic decision guide
Should I submit to NeurIPS with theory and few experiments? Learn reviewer expectations, paper requirements, and how to improve acceptance odds.
Apr 4, 20268 min read
AI Training
How OpenAI Trains ChatGPT With Freelancers
How OpenAI trains ChatGPT with freelancers, why experts matter, and where specialist post-training improves reliability.
Apr 1, 20269 min read
Machine Learning
Muon optimizer for transformers: why it rarely spreads
Why is the Muon optimizer for transformers but rarely elsewhere? Evidence, benchmarks, failure modes, and a practical selection framework.
Mar 31, 202610 min read
AI Benchmarks
Bitboard Tetris AI speeds up reinforcement learning
Bitboard Tetris AI promises faster training, better simulation speed, and smarter Tetris RL environment optimization.
Mar 31, 20268 min read
AI Benchmarks
ItinBench benchmark explained for LLM planning in 2026
ItinBench benchmark explained: what it measures, how LLM planning scores work, and how builders can use it to choose planning-ready models.
Mar 23, 20269 min read
AI Benchmarks
Daily Intelligence Recap AI Signals: March 23, 2026
Daily intelligence recap AI signals March 23 2026: top 9 signals, scoring logic, and what matters for builders and investors.
Mar 23, 20269 min read

Should I submit to NeurIPS? A realistic decision guide

How OpenAI Trains ChatGPT With Freelancers

Muon optimizer for transformers: why it rarely spreads

Bitboard Tetris AI speeds up reinforcement learning

ItinBench benchmark explained for LLM planning in 2026

Daily Intelligence Recap AI Signals: March 23, 2026