# swyxio/ai-notes

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

Repository: https://github.com/swyxio/ai-notes
Canonical: https://ross.abutalabs.com/products/ai-notes
Homepage: https://latent.space/
Language: HTML
License: MIT
License Family: permissive
Topics: ai, prompt-engineering, stable-diffusion, openai, gpt, gpt-3, multimodal
Last push: 2026-02-16T06:45:25+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 67, release rhythm 35, longevity 100
- inputs: {"age_days": 1459, "days_push": 198, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6247, forks 559 (observed 2026-08-28T04:09:40.947499+00:00)

## What it is
A curated collection of notes on the state of the art in AI, focused on generative models and large language models, serving as source material for the Latent.Space newsletter. It includes cleaned-up canonical references under /Resources plus topic files covering text generation, image generation, audio, codegen, and AI infrastructure.

## Use cases
- catch up on new AI developments as a software engineer
- find curated resources on large language models
- learn prompt engineering techniques and examples
- track the generative AI tooling landscape including Stable Diffusion
- research AI infrastructure and scaling trends
- find reference material for AI engineering

## When to choose
- you want a continuously updated, curated reading list on generative AI and LLMs
- you need a starting point to get up to speed on AI engineering as a developer
- you want curated prompt examples and canonical AI resource links

## When to avoid
- you need runnable code, a library, or a tool rather than notes
- you need formal tutorials or structured courses instead of link-heavy notes
- you need guaranteed up-to-the-minute coverage of every AI release

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, prompt-engineering
- domain: artificial-intelligence, large-language-models, tutorials, awesome-lists
- platform: cross-platform
- tags: notes, newsletter, latent-space, generative-ai, stable-diffusion, gpt, ai-engineering

## Member repositories
- swyxio/ai-notes (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:40.947499+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:47:09.852161+00:00, confidence not recorded.
  - readme: https://github.com/swyxio/ai-notes (fetched 2026-08-28T04:09:40.947499+00:00, sha 18038dd722bd)
  - homepage: https://latent.space/ (fetched 2026-08-29T08:43:18.801678+00:00, sha f4e54fc82ba3)
- Data as of 2026-08-30T08:39:29.467469+00:00.