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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 37–48 of 51 articles

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AI Benchmarks
Claude Opus 4.7 vs Mythos benchmark comparison guide
Claude Opus 4.7 vs Mythos benchmark comparison explained with real-world context for coding, reasoning, and model evaluation.
Apr 19, 20269 min read
AI Benchmarks
Claude Opus 4.7 benchmark scores explained
Claude Opus 4.7 benchmark scores explained for builders and teams: what the numbers measure, where they matter, and where hype slips in.
Apr 18, 20266 min read
AI Benchmarks
Best AI agent framework for Apple Silicon: M3 Ultra guide
Best AI agent framework for Apple Silicon, tested across Qwen 3.6 and six models on M3 Ultra with real compatibility data.
Apr 18, 202610 min read
AI Benchmarks
Opus 4.7 vs GPT-5.4 vs Gemini on Creative Tasks
Opus 4.7 vs GPT-5.4 vs Gemini: a blinded bakeoff on emotional intelligence and creative writing with a transparent scoring rubric.
Apr 17, 20268 min read
AI Benchmarks
Political Benchmark for LLMs: What the Results Really Mean
A political benchmark for LLMs can mislead without refusal normalization, censorship context, and careful measurement design.
Apr 16, 20267 min read
AI Benchmarks
LABBench2 benchmark biology AI: what the new arXiv study adds
LABBench2 benchmark biology AI aims to measure how well models handle biology research tasks, with clearer evaluation for scientific discovery.
Apr 14, 20267 min read
AI Benchmarks
AI logic puzzle that stumped ChatGPT, Claude, Gemini, Grok
An eval teardown of the AI logic puzzle that stumped ChatGPT, Claude, Gemini, and Grok, with methodology, failure modes, and reproducible scoring.
Apr 13, 20268 min read
Machine Learning
Federated Learning Limitations: Why QIS Protocol Gets Attention
Explore federated learning limitations, QIS protocol vs federated learning, and why some teams want alternatives for private AI.
Apr 9, 20267 min read
NLP Research
Pramana fine tuning large language models: what the paper means
Pramana fine tuning large language models uses Navya-Nyaya for epistemic reasoning. Here's what the paper solves, where it may fail, and how to test it.
Apr 8, 20268 min read
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

Claude Opus 4.7 vs Mythos benchmark comparison guide

Claude Opus 4.7 benchmark scores explained

Best AI agent framework for Apple Silicon: M3 Ultra guide

Opus 4.7 vs GPT-5.4 vs Gemini on Creative Tasks

Political Benchmark for LLMs: What the Results Really Mean

LABBench2 benchmark biology AI: what the new arXiv study adds

AI logic puzzle that stumped ChatGPT, Claude, Gemini, Grok

Federated Learning Limitations: Why QIS Protocol Gets Attention

Pramana fine tuning large language models: what the paper means

Should I submit to NeurIPS? A realistic decision guide

How OpenAI Trains ChatGPT With Freelancers

Muon optimizer for transformers: why it rarely spreads