Karpathy's Curated RSS Daily
Karpathy's Selected RSS Digest
Instructions
Below is a pack of RSS links curated by Andrej Karpathy, providing content from the past 24 hours.
https://youmind.com/rss/pack/andrej-karpathy-curated-rss
Select 1-2 articles from each source and use the fetch tool to read the original text of each article.
Based on the content retrieved via fetch, generate a summary document named "Date - Karpathy Selected RSS Daily Report". Combine descriptions of similar topics and be sure to include citation links.
Document templates are available for reference:
```
> Andrej Karpathy's curated collection of source information | [N] updates in total
---
## 🔥 Core Topic: [Topic Title]
## {emoji} [Topic 2]: [Subtitle]
...
---
## 📊 Today's Data
- **XX** RSS updates
- **XX** Selected In-Depth Readings
- **XX** core themes: AA, BB, CC
## 💡 Editor's Observation
---
*This daily report was automatically generated by AI | Data source: *[Andrej Karpathy curated RSS](https://youmind.com/rss/pack/andrej-karpathy-curated-rss)
```
Description
Recommended by
nene@YouMind
Why we love this skill
Stay directly connected to the latest insights from AI leader Andrej Karpathy, with daily curated deep-dive articles that keep you on the cutting edge of AI.
Gain insights like the godfather of AI. Automatically aggregates Karpathy's curated RSS daily, generating themed briefings to help you keep your finger on the pulse of tech.
Related Skills
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ResearchSlow Teacher's Keyword Method
Use the keyword learning method to quickly get started in any field: output a table of 20 core keywords (with one-sentence explanations, application scenarios, and best practices), hand-drawn comic-style SVG logic relationship diagrams, simulate a domain expert answering 5 key questions, recommend 3–5 professional books, and assemble them into a well-formatted report; enter 'Interpret [Book Title]' to switch to the seven-part in-depth book interpretation mode.
Signal Room: Interview Synthesis
YouMind already transcribes your calls, interviews and podcasts. Signal Room is what happens next. Drop in one transcript or twenty and get back a research synthesis an actual analyst would sign: coded themes, verbatim evidence with timestamps, the places people disagree, and a ranked answer to the decision you are trying to make. The method is real qualitative practice, not summarisation: • Open coding that works quote-first — no quote, no code — with codes named in the participant's own words rather than analyst jargon • Every code tagged Behaviour, Belief or Wish, because "I would definitely pay for that" is not the same class of evidence as "I paid for that last month" • Themes stated as falsifiable sentences, with strength counted in participants rather than quotes, and disconfirming evidence hunted for on purpose • A tension map showing where your participants genuinely split and what predicts which side they fall on • An opportunity backlog written as "when [situation], [who] wants [outcome] because [reason]", each rated Strong, Suggestive or Anecdotal • A direct answer to your decision question, with a stated confidence level and what would change it • The three questions this round could not answer, and who to interview next Guardrails that matter: it never invents or polishes a quote, it refuses to report percentages on fewer than twelve participants, it pseudonymises participants by default, and it will tell you to your face when n=1 means you have a hypothesis rather than a finding. For product managers, UX and market researchers, journalists, consultants, founders doing customer discovery, and anyone sitting on hours of recordings and no findings.
ResearchAI Paper Master
Helps product managers, founders, and app developers understand AI papers through historical causal links, turning those insights into product judgments, technical boundaries, engineering intuition, and opportunity analysis.
Karpathy's Curated RSS Daily
Karpathy's Selected RSS Digest
Instructions
Below is a pack of RSS links curated by Andrej Karpathy, providing content from the past 24 hours.
https://youmind.com/rss/pack/andrej-karpathy-curated-rss
Select 1-2 articles from each source and use the fetch tool to read the original text of each article.
Based on the content retrieved via fetch, generate a summary document named "Date - Karpathy Selected RSS Daily Report". Combine descriptions of similar topics and be sure to include citation links.
Document templates are available for reference:
```
> Andrej Karpathy's curated collection of source information | [N] updates in total
---
## 🔥 Core Topic: [Topic Title]
## {emoji} [Topic 2]: [Subtitle]
...
---
## 📊 Today's Data
- **XX** RSS updates
- **XX** Selected In-Depth Readings
- **XX** core themes: AA, BB, CC
## 💡 Editor's Observation
---
*This daily report was automatically generated by AI | Data source: *[Andrej Karpathy curated RSS](https://youmind.com/rss/pack/andrej-karpathy-curated-rss)
```
Description
Recommended by
nene@YouMind
Why we love this skill
Stay directly connected to the latest insights from AI leader Andrej Karpathy, with daily curated deep-dive articles that keep you on the cutting edge of AI.
Gain insights like the godfather of AI. Automatically aggregates Karpathy's curated RSS daily, generating themed briefings to help you keep your finger on the pulse of tech.
Related Skills
View all
ResearchSlow Teacher's Keyword Method
Use the keyword learning method to quickly get started in any field: output a table of 20 core keywords (with one-sentence explanations, application scenarios, and best practices), hand-drawn comic-style SVG logic relationship diagrams, simulate a domain expert answering 5 key questions, recommend 3–5 professional books, and assemble them into a well-formatted report; enter 'Interpret [Book Title]' to switch to the seven-part in-depth book interpretation mode.
Signal Room: Interview Synthesis
YouMind already transcribes your calls, interviews and podcasts. Signal Room is what happens next. Drop in one transcript or twenty and get back a research synthesis an actual analyst would sign: coded themes, verbatim evidence with timestamps, the places people disagree, and a ranked answer to the decision you are trying to make. The method is real qualitative practice, not summarisation: • Open coding that works quote-first — no quote, no code — with codes named in the participant's own words rather than analyst jargon • Every code tagged Behaviour, Belief or Wish, because "I would definitely pay for that" is not the same class of evidence as "I paid for that last month" • Themes stated as falsifiable sentences, with strength counted in participants rather than quotes, and disconfirming evidence hunted for on purpose • A tension map showing where your participants genuinely split and what predicts which side they fall on • An opportunity backlog written as "when [situation], [who] wants [outcome] because [reason]", each rated Strong, Suggestive or Anecdotal • A direct answer to your decision question, with a stated confidence level and what would change it • The three questions this round could not answer, and who to interview next Guardrails that matter: it never invents or polishes a quote, it refuses to report percentages on fewer than twelve participants, it pseudonymises participants by default, and it will tell you to your face when n=1 means you have a hypothesis rather than a finding. For product managers, UX and market researchers, journalists, consultants, founders doing customer discovery, and anyone sitting on hours of recordings and no findings.
ResearchAI Paper Master
Helps product managers, founders, and app developers understand AI papers through historical causal links, turning those insights into product judgments, technical boundaries, engineering intuition, and opportunity analysis.
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