Ninety minutes with the person who ran the experiments.
Not the lab director, not the founder: the first author. One paper, the path that led to it, the experiment that nearly failed, the questions the reviewers asked and what comes next. Video and audio, with a full transcript linked to the paper.
Why authors
The most-listened technology shows interview the people who run companies and fund them. That is valuable, and it is not the same thing as hearing from the researcher who built the result. Meridian is for that conversation.
Season one
Twelve themes from this year’s programme. Guests are announced on release.
How models learn to reason
What actually changes inside a model trained to think step by step, and what the evaluations miss.
Guest announced on releaseRetrieval, memory and long context
When a model should look something up, when it should remember, and why long context did not end retrieval.
Guest announced on releaseLanguage models for Asian languages
Tokenisation, data and evaluation for Japanese, Chinese, Korean, Thai, Bahasa and the languages between them.
Guest announced on releaseAgents that use tools
Planning, tool use and recovery from error, and how to tell an agent benchmark from a demo.
Guest announced on releaseThe science of evaluation
Contamination, judges that are models, and what a benchmark is for once models saturate it.
Guest announced on releaseTraining and serving efficiently
Quantisation, distillation, mixture-of-experts and the economics that decide which ideas ship.
Guest announced on releaseSeeing, reading and listening
Vision-language models, documents as images, video understanding and speech.
Guest announced on releaseDocuments, law and professional work
Contracts, filings and forms: the unglamorous documents where language models meet liability.
Guest announced on releaseAI for science
Proteins, materials and weather: what transfers from language models to scientific discovery and what does not.
Guest announced on releaseAlignment and safety research
Interpretability, oversight and robustness, explained by the people running the experiments.
Guest announced on releaseWhy deep learning works
Scaling, generalisation and optimisation: the theory catching up with practice.
Guest announced on releaseRobots and embodied learning
Learning from demonstration, simulation and the gap between a lab arm and a warehouse.
Guest announced on releaseEvery episode includes
- Video (YouTube) and audio (all major podcast apps)
- Chapters, so you can jump to the reviewers’ questions or the limits
- A full transcript with timestamps and links to the paper, code and data
- A one-paragraph summary in plain language, and the sixty-second take
- Disclosures: travel costs covered, any sponsorship, any relationship to Magellan Global companies