The monitored sources behind the ledger. Each show is tracked for one specific signal — not summarised episode by episode, but mined for claims that repeat.
Latent Space
Builder signalWhat AI engineers are actually shipping: agents, RAG, inference, evals, production trade-offs.
When "prototype" patterns become repeatable engineering practice.
Dwarkesh Podcast
Depth signalLong-form with the people closest to frontier AI: scaling, alignment, economics, philosophy of intelligence.
How insiders describe timelines, bottlenecks, and what still doesn't work.
ML Street Talk
Mechanism signalDense technical discussion on mechanisms, papers, model behaviour, and the limits of current systems.
Which technical objections survive contact with deployment.
The AI Daily Brief
Velocity signalThe fastest daily baseline on releases, companies, policy and market narrative.
Which daily stories compound into a sustained thesis.
TWIML AI Podcast
Research signalResearch-led conversations across ML, applied AI, data platforms and enterprise deployment.
Which research ideas start moving toward enterprise-grade patterns.
Practical AI
Production signalGrounded ML/MLOps conversations on what it takes to make systems work outside demos.
Where teams keep hitting the same deployment and maintenance walls.
Cognitive Revolution
Strategy signalBuilders, executives and investors on the institutional consequences of AI.
When technical capability starts changing operating models.
No Priors
Capital signalFounders and investors on infrastructure, applications, GTM and company formation.
Which categories capital believes are becoming durable companies.
Interconnects
Open-model signalNathan Lambert on open models, post-training, evals and the political economy of model access.
Whether open models close capability, cost, or deployment gaps.
Pragmatic Engineer
Labour signalEngineering leadership, Big Tech, and how AI changes the work of building software.
How AI changes hiring, productivity, platforms and team structure.