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Latent Space

Technical conversations for AI engineers and builders covering models, agents, developer tools, inference, data, and production infrastructure.

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124 EPISODESENTRACKED SHOW
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4 episodes2 active
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Latent SpaceEN · 81 min

The $10 Trillion Token Economy — Alex Atallah, OpenRouter & Anjney Midha, AMP

swyxAlex AtallahAnjney Midha

Stripe–OpenRouter reframes the token economy as a security market, with token flows projected at roughly $5 trillion in five years and $10 trillion over ten.OpenRouter’s moat spans over 10 million developers and roughly 10 trillion tokens daily, while frontier labs struggle to turn checkpoints into revenue.Fraud could drive discrete-task pricing and bring-your-own-inference, while the deal accelerates OpenRouter’s roadmap.

Latent SpaceEN · 55 min

a16z's Casado & Wang on Bitter Lessons in Venture vs Growth

Alessio FanelliswyxMartin CasadoSarah Wang

Frontier AI financing has become a venture-growth hybrid, combining compute contracts, equity, strategic capital, and go-to-market support within months of formation.The bull case depends on dollars producing capability, capability creating demand, and demand funding larger rounds that could let model owners outspend downstream applications.The unresolved risk is whether scaling laws and customer demand persist, or whether capital rationalization and cheaper compute break the flywheel.

Latent SpaceEN · 29 min

[State of AI Startups] Memory/Learning, RL Envs & DBT-Fivetran — Sarah Catanzaro, Amplify

Sarah Catanzaro

Sarah Catanzaro says the dbt–Fivetran merger reflects IPO-scale consolidation, not the end of the modern data stack, as AI labs continue using both products.She sees memory and continual learning as potential retention infrastructure, but calls RL environments “just a fad” and says real-world usage remains the strongest training signal.

Latent SpaceEN · 85 min

Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures

Deedy Das

Glean’s moat is accumulated enterprise work—permissions, connectors, ranking and adoption—that positioned it for ChatGPT-driven distribution, while Anthropic’s revenue curve exceeded investors’ expectations.Anthropic’s model-layer advantage supports rapid growth, but app-layer moats remain thin and OpenRouter’s 5% routing fee faces token-price compression and disintermediation risk.The investment question is whether infrastructure, proprietary data and distribution can outlast commoditizing models and fund the next wave of AI applications.