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

…standalone products but might succeed as metadata services for agents, the consumerization of AI and why personalization (memory, continual learning, K-factor) is the 2026 unlock for retention and growth, why she thinks RL environments are …

Podcast · Latent.Space · 2025-12-30
PodcastLatent.Space2025-12-30
Personalized AI Language Education — with Andrew Hsu, Speak

…Instead of manually scripting all lessons, they are building agents and pipelines that can scaffold curriculum, generate lesson content, and adapt pedagogically to the learner. This ties into one of Speak’s most ambitious goals: creating a …

Podcast · Latent.Space · 2025-07-11
PodcastLatent.Space2025-07-11
Llama 2: The New Open LLM SOTA (ft. Nathan Lambert, Matt Bornstein, Anton Troynikov, Russell Kaplan, Whole Mars Catalog et al.)

…Prediction: Finetune-for-everything01:15:50 Predictions: Llama Agents01:16:35 dP(Doom)?01:19:21 Wrapping up Transcript[00:00:00] Introducing the speakers [00:00:00] Alessio Fanelli: There's not a single dull day in this space. I think when …

Podcast · Latent.Space, Nathan Lambert, Matt Bornstein, Anton Troynikov, Simon Willison, Alex Volkov · 2023-07-19
PodcastLatent.Space, Nathan Lambert, Matt Bornstein, Anton Troynikov, Simon Willison, Alex Volkov2023-07-19
Guaranteed quality and structure in LLM outputs - with Shreya Rajpal of Guardrails AI

…composability and package manager?00:16:00 Using Guardrails for agents00:23:50 Guardrails "contracts" and guarantees00:31:30 SLAs for LLMs00:40:00 How to prioritize as a solo founder in open source00:43:00 Guardrails open source community…

Podcast · Latent.Space, Alessio Fanelli · 2023-05-16
PodcastLatent.Space, Alessio Fanelli2023-05-16
From API to AGI: Structured Outputs, OpenAI API platform and O1 Q&A — with Michelle Pokrass & OpenAI Devrel + Strawberry team

…Latency00:30:28 Prompt/Schema Caching00:30:50 Building Agents with Structured Outputs: from API to AGI00:31:52 Assistants API00:34:00 Use cases for Structured Output00:37:45 Prompting Structured Output00:39:44 Benchmarking Prompting for…

Podcast · Latent.Space · 2024-09-13
PodcastLatent.Space2024-09-13
Efficiency is Coming: 3000x Faster, Cheaper, Better AI Inference from Hardware Improvements, Quantization, and Synthetic Data Distillation

…gaming side, but we are seeing this also being used as brand agents. So sure, we've seen the chatbots, it says, where you talk with, Xcompany, and it tells you all of the information, it acts as customer support, but there is something…

Podcast · Latent.Space · 2024-09-03
PodcastLatent.Space2024-09-03
Building the Silicon Brain - with Drew Houston of Dropbox

…code, summarizing content (see AINews), and customer support agents are three of the most widespread AI use cases, but they are all synchronous. We called agents the “next AI killer app” back in April 2023, but we have yet to see non-demo…

Podcast · Latent.Space · 2024-10-18
PodcastLatent.Space2024-10-18
The First Mechanistic Interpretability Frontier Lab — Myra Deng & Mark Bissell of Goodfire AI

…this like autonomous interp. Um, something. Something about how agents for interp is different than like coding agents. I don’t know while this is spewing up, but how, how do we find feature 43, two Oh five. Yeah. Mark Bissell [00:25:15]:…

Podcast · Latent.Space · 2026-02-06
PodcastLatent.Space2026-02-06
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