# Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin

Page: https://stenobird.com/podcast/training-data/memory-and-continual-learning-engram-s-dan-biderman-and-jessy-lin
Text version: https://stenobird.com/podcast/training-data/memory-and-continual-learning-engram-s-dan-biderman-and-jessy-lin.md
Podcast: [Training Data](https://stenobird.com/podcast/training-data)
Published: 2026-06-24T14:22:00+00:00
Episode link: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI1349350448.mp3
Audio file: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI1349350448.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/training-data/episodes/memory-and-continual-learning-engram-s-dan-biderman-and-jessy-lin
Duration seconds: 2691

## Resource

Dan Biderman and Jessy Lin, co-founders of Engram, are building a neolab around memory and continual learning, which they call two sides of the same coin. Their contrarian premise: instead of stuffing ever-larger prompts into the context window or bolting on RAG, bake a team's knowledge directly into the model's weights, so it knows your company the way an employee of several years does. The payoff: matching or beating frontier models while consuming up to 100x fewer tokens. Working with partners like Microsoft, Notion, and Harvey, the team draws on roots in computational neuroscience and state-space architectures to attack what they see as the real bottleneck in AI — not raw intelligence, but memory and continual learning. In contrast to the frontier labs' race toward one ever-bigger model and AGI, Dan and Jessy imagine a world where everyone has their own model — privately trained, always learning, and good at the things you actually care about. The real ChatGPT moment for memory, they argue, is the day your model feels like an intern that genuinely got smarter overnight. Hosted by Sonya Huang and Shaun Maguire, Sequoia Capital

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/training-data/episodes/memory-and-continual-learning-engram-s-dan-biderman-and-jessy-lin/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/training-data/memory-and-continual-learning-engram-s-dan-biderman-and-jessy-lin.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.