---
title: "Slides: Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI"
category: "slides"
video_id: "ZRM_TfEZcIo"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI

## Source Video
[Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI](https://www.youtube.com/watch?v=ZRM_TfEZcIo)

## Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

## Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.

## Extracted Slides
![[assets/slides/ZRM_TfEZcIo/slide-001.jpg]]

OCR text:

> My Second Brain -
> 5,489 notes in Obsidian aaa Fr 1
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> 5,505 files in Readwise ie — |
> Plus, Notion, Google Drive. ona
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![[assets/slides/ZRM_TfEZcIo/slide-002.jpg]]

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![[assets/slides/ZRM_TfEZcIo/slide-004.jpg]]

OCR text:

> My personal notes!

![[assets/slides/ZRM_TfEZcIo/slide-005.jpg]]

OCR text:

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> Pont taetin | Mewtme Letenne <packt>
> ¥ a. i

![[assets/slides/ZRM_TfEZcIo/slide-006.jpg]]

OCR text:

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![[assets/slides/ZRM_TfEZcIo/slide-007.jpg]]

OCR text:

> ; 7 ao
> : =v = Hi, I'm Louis-Francois
> oe = | — Co-founder & CTO @ Towards Al
> PF
> n — “What's Al’ on YouTube - author of Building LLMs for Production
> Va . a — Previously PhD @ Mila
> — Build courses, videos, and trainings for a living
> 
> TOWARDS A
> 
> o Which all starts from good research!

![[assets/slides/ZRM_TfEZcIo/slide-008.jpg]]

OCR text:

> TOWARDS AI

![[assets/slides/ZRM_TfEZcIo/slide-009.jpg]]

OCR text:

> (problems) Every research session starts from zero
> Right now: give Codex 5 links, 3 repos, PDFs, two videos, my notes — it answers
> WH PaO
>  w7
> ie

![[assets/slides/ZRM_TfEZcIo/slide-010.jpg]]

OCR text:

> TOWARDS AI

![[assets/slides/ZRM_TfEZcIo/slide-011.jpg]]

OCR text:

> 4° agree My OS didn't start from zero
> . j co a bm
> : ‘~ 4
> i : ye — Years of notes — every video and course I've made, all moved into Obsidian
> - ; | — Meeting recaps | save after every call -> Obsidian
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> al — Highlights from posts, tweets, and articles -> Obsidian
> 1" eka ; — Even my agent skills -> Obsidian
> TOWARDS NA

![[assets/slides/ZRM_TfEZcIo/slide-012.jpg]]

OCR text:

> One long-term research companion
> for everything | teach.
> and it compounds — every note, meeting, source. and question feeds it Ww BK
> ww
> a " &

![[assets/slides/ZRM_TfEZcIo/slide-013.jpg]]

OCR text:

> v1: a topic in, research.md out
> Topic
> + golden links

![[assets/slides/ZRM_TfEZcIo/slide-014.jpg]]

OCR text:

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![[assets/slides/ZRM_TfEZcIo/slide-015.jpg]]

OCR text:

> e : _ Forget the infrastructure you think
> _ eae you need
> as
> ——~ . aw No vector database. No knowledge graph.
> \\" No semantic search. No text search.

![[assets/slides/ZRM_TfEZcIo/slide-016.jpg]]

OCR text:

> No database,justtheindex
> total_wik.pages:38 total_sources:10 SOUTCES:
> Agent readsfirst catalog+summaries index.yaml uri.source_page:wiki/sources/agent-mory.d publfshed_date:*2026-85-17* publfcation:null uri_ful1:iki/repos/agent-msory/AROHETECTuRE.nd original_path:github://eeo4j-1abs/agent-nemory89ae7Bc7994 origin:github title:agent-menory authors: -neo4j-labs
> applied to agent memory.cite mermaid flowchart LRsubgr

![[assets/slides/ZRM_TfEZcIo/slide-017.jpg]]

OCR text:

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![[assets/slides/ZRM_TfEZcIo/slide-018.jpg]]

OCR text:

> How does the wiki look like?
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> ARCHITECTURE

![[assets/slides/ZRM_TfEZcIo/slide-019.jpg]]

OCR text:

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> ‘ 6K i AS. Projects
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![[assets/slides/ZRM_TfEZcIo/slide-020.jpg]]

OCR text:

> lusztinpaul al-research-os-worikshop QTypeto search
> (>Code Issues IPullrequests G:Agents Actions Projects wiki Security and quality Insights Settings
> Pmain ai-research-os-workshop/plugins/ai-research-os/skills/ QGotofile
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> Last commitmessage
> nlm-skil feat:Rename to ai-research-os
> obsidian-cll feat: Rename to al-research-os
> readwise-cli feat:Rename to af-research-os
> research-distill feat:Rename toai-research-os
> feat:Rename toai-research-os
> research-render feat:Rename toai-research-os
> research feat:Rename to ai-research-os

![[assets/slides/ZRM_TfEZcIo/slide-021.jpg]]

OCR text:

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![[assets/slides/ZRM_TfEZcIo/slide-022.jpg]]

OCR text:

> Second-Bain
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![[assets/slides/ZRM_TfEZcIo/slide-023.jpg]]

OCR text:

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![[assets/slides/ZRM_TfEZcIo/slide-024.jpg]]

OCR text:

> Newtab
> Newtab
> 1-Templates
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> 4-Jounal
> 5-Sources
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> wid
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> Building Your Own Al Research OS (Emp-.
> Content
> Moving
> 9-Archive
> AGENTS
> Second-Brain

## Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.