“‘We started actually putting long-term memory in vector databases… MongoDB Atlas Vector Search.’”

Omar Santos · Security & GRC Decoded · The Agents Ran All Weekend. They Came Back With Zero Days. ft. Omar Santos, Distinguished Engineer, AI Security @ Cisco

Play from 36:35
36:35

Audio streams from the publisher’s own feed. Verbatim does not host or copy it.

What was described

Stored long-term memory in a vector database (MongoDB Atlas Vector Search) for context compression and retrieval

Said nearby on the same subject

“They are hyper specialized in doing vector search at a cost performance ratio that's much better than everyone else”
♫
Said on The MAD Podcast: How AI Gets Built - with Matt Turck
Hard number Share this moment
“We represented molecules as a vector of the probability of creator… 1800 element vector… top-5 accuracy of 60%… it does as well as if you use chemical formulas”
♫
Said on Latent Space: The AI Engineer Podcast
Data play 1800-element vector; top-5 chemist-identification accuracy 60% Share this moment
“America.gov is designed… it just has a big old LLM search box… it stores no data, that it doesn't have user accounts… an LLM front end to, like, five million government databases.”
♫
Said on The Vergecast
“We have maybe 20% of the people who work at X aren't on one of the projects… they act as a kind of vector, transplanting interesting ideas and learnings from one team to another.”
AT
Astro Teller X
Think Fast Talk Smart: Communication Techniques ·
How they work ≈20% of X staff are in these central hub teams Share this moment

Moments like this, every Monday

The strongest new moments on your topics, in the speakers' own words. Free for three topics.

No card. No password. One-click unsubscribe.

Track a competitor?

Pro watches up to 25 names or phrases and emails you the morning after they are said.

See Pro, $29 a month

Verbatim quotes a short extract and links to the episode; the episode belongs to its publisher. Remove a show.