--- title: "best_AI_papers_2023 vs ai-notes" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/louisfb01-best-ai-papers-2023-vs-swyxio-ai-notes" tools: ["louisfb01-best-ai-papers-2023", "swyxio-ai-notes"] --- # best_AI_papers_2023 vs ai-notes *GraphCanon updated Aug 1, 2026* ## Verdict Pick best_AI_papers_2023 if best_AI_papers_2023 compiles AI research papers with video explanations, in-depth articles, and code links for advanced learning; pick ai-notes if ai-notes offers curated resources centered around recent AI advancements for software engineers, particularly in GPT models and multimodal applications. [best_AI_papers_2023](https://github.com/louisfb01/best_AI_papers_2023) reports 251 GitHub stars, 23 forks, and 0 open issues, last pushed Dec 24, 2023. [ai-notes](https://latent.space/) has 6.2k stars, 560 forks, and 9 open issues, last pushed Feb 16, 2026. Figures are from public GitHub metadata via [best_AI_papers_2023's repository](https://github.com/louisfb01/best_AI_papers_2023) and [ai-notes's repository](https://github.com/swyxio/ai-notes). | | [best_AI_papers_2023](/tools/louisfb01-best-ai-papers-2023.md) | [ai-notes](/tools/swyxio-ai-notes.md) | | --- | --- | --- | | Tagline | A curated list of the latest breakthroughs in AI (in 2023) with video explanations, articles, and code. | Notes for software engineers on recent AI developments | | Stars | 251 | 6,243 | | Forks | 23 | 560 | | Open issues | 0 | 9 | | Language | - | HTML | | Adopt for | best_AI_papers_2023 compiles AI research papers with video explanations, in-depth articles, and code links for advanced learning. | ai-notes offers curated resources centered around recent AI advancements for software engineers, particularly in GPT models and multimodal applications. | | Persona | - | - | | Runtime | - | - | | License | MIT | The MIT License grants permission to use the tool freely under certain conditions, typically including attribution and non-liability terms. | | Categories | Computer Vision, Developer Tools, Speech & Audio | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [best_AI_papers_2023](/tools/louisfb01-best-ai-papers-2023.md) | [ai-notes](/tools/swyxio-ai-notes.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 950d | 161d | | Open issues (now) | 0 | 9 | | Full report | [trust report](/tools/louisfb01-best-ai-papers-2023/trust.md) | [trust report](/tools/swyxio-ai-notes/trust.md) | ## Shared compatibility - **ChatGPT**: [best_AI_papers_2023](/tools/louisfb01-best-ai-papers-2023.md) - Works with ChatGPT; [ai-notes](/tools/swyxio-ai-notes.md) - Works with ChatGPT ## Decision facts: best_AI_papers_2023 - **Adopt for:** best_AI_papers_2023 compiles AI research papers with video explanations, in-depth articles, and code links for advanced learning. ## Decision facts: ai-notes - **Adopt for:** ai-notes offers curated resources centered around recent AI advancements for software engineers, particularly in GPT models and multimodal applications. - **License detail:** The MIT License grants permission to use the tool freely under certain conditions, typically including attribution and non-liability terms. ## Choose when ### Choose best_AI_papers_2023 if… - Tags unique to best_AI_papers_2023: artificial-intelligence, computer-vision, machine-learning, ml. - Also covers Computer Vision, Speech & Audio. - When deep insights into recent AI advancements are needed with structured resources ### Choose ai-notes if… - Tags unique to ai-notes: gpt, multimodal, openai, prompt-engineering. - Also covers Data & Retrieval. - You are working on projects involving GPT models or multimodal applications and require the latest insights from Latent.Space content creation efforts. ## When NOT to use best_AI_papers_2023 - If looking for real-time interactive support or forums within the repository itself - For quick snippets or summaries without deeper links to code or articles ## When NOT to use ai-notes - The focus of your project lies beyond GPT models or multimodal applications as ai-notes does not delve into non-GPT AI advancements. - You are in search of comprehensive tutorials on all major AI frameworks, since ai-notes is primarily centered around specific topics under Latent.Space. ## Common questions ### What is the difference between best_AI_papers_2023 and ai-notes? best_AI_papers_2023: A curated list of the latest breakthroughs in AI (in 2023) with video explanations, articles, and code.. ai-notes: Notes for software engineers on recent AI developments. See the comparison table for live GitHub stats and shared categories. ### When should I choose best_AI_papers_2023 over ai-notes? Choose best_AI_papers_2023 over ai-notes when Tags unique to best_AI_papers_2023: artificial-intelligence, computer-vision, machine-learning, ml; Also covers Computer Vision, Speech & Audio; When deep insights into recent AI advancements are needed with structured resources. ### When should I choose ai-notes over best_AI_papers_2023? Choose ai-notes over best_AI_papers_2023 when Tags unique to ai-notes: gpt, multimodal, openai, prompt-engineering; Also covers Data & Retrieval; You are working on projects involving GPT models or multimodal applications and require the latest insights from Latent.Space content creation efforts. ### When should I avoid best_AI_papers_2023? If looking for real-time interactive support or forums within the repository itself For quick snippets or summaries without deeper links to code or articles ### When should I avoid ai-notes? The focus of your project lies beyond GPT models or multimodal applications as ai-notes does not delve into non-GPT AI advancements. You are in search of comprehensive tutorials on all major AI frameworks, since ai-notes is primarily centered around specific topics under Latent.Space. ### Is best_AI_papers_2023 or ai-notes more popular on GitHub? ai-notes has more GitHub stars (6,243 vs 251). Stars measure visibility, not whether either tool fits your constraints. ### Are best_AI_papers_2023 and ai-notes open source? Yes - both are open-source projects on GitHub (best_AI_papers_2023: MIT, ai-notes: MIT). ### Where can I find alternatives to best_AI_papers_2023 or ai-notes? GraphCanon lists graph-backed alternatives at [best_AI_papers_2023 alternatives](/tools/louisfb01-best-ai-papers-2023/alternatives) and [ai-notes alternatives](/tools/swyxio-ai-notes/alternatives) ([best_AI_papers_2023 markdown twin](/tools/louisfb01-best-ai-papers-2023/alternatives.md), [ai-notes markdown twin](/tools/swyxio-ai-notes/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/louisfb01-best-ai-papers-2023-vs-swyxio-ai-notes.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, best_AI_papers_2023 or ai-notes? best_AI_papers_2023: Dormant. ai-notes: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for best_AI_papers_2023 and ai-notes? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [best_AI_papers_2023 trust report](/tools/louisfb01-best-ai-papers-2023/trust); [ai-notes trust report](/tools/swyxio-ai-notes/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=louisfb01-best-ai-papers-2023`](/api/graphcanon/graph?tool=louisfb01-best-ai-papers-2023) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_