YouTube Channel: AI for Developers
IA local, LLMs y agentes autónomos en español. Todo con código real. Soy Joaquín Ruiz, ingeniero informático con +20 años de experiencia y Director de IA e Innovación en Flat 101. Autor de 3 libros sobre inteligencia artificial publicados en Amazon. Docente en Centro San Valero y Universidad San Jorge, Zaragoza. En este canal aprenderás: — IA local con Ollama: modelos que corren en tu propio hardware — Agentes autónomos con MCP y Python — Cuantización de modelos GGUF y EXL2 — Comparativas y análisis de LLMs open source (Llama, Mistral, DeepSeek, Qwen) — Desarrollo asistido por IA y vibe coding Todo el contenido es en español, técnico y sin humo 📚 Mis libros sobre IA en Amazon: 📗 Del vibe coding al Spec-Driven Development: https://amzn.eu/d/02csLpKC 📙 El motor de la Inteligencia Artificial: https://amzn.eu/d/083CTN3U 📘 Programar con Inteligencia Artificial: https://amzn.eu/d/eK4f73N 📙 Explora la Inteligencia Artificial: https://amzn.eu/d/dSwYhue 🌐 Web: https://jokiruiz.com
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,933 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | YouTube |
| Canonical URL | https://www.youtube.com/@jokioki |
| Publication time | Fri, 07 Aug 2026 06:58:35 +0000 |
| Retrieval time | 2026-08-07T07:10:43.683Z |
| Last seen | 2026-08-07T07:10:43.683Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher description |
| Excerpt method | Publisher-supplied description / RSS summary field. |
| Summary | None yet |
| Summary source text | description |
| Citation coverage | No WeSearch summary has been generated for this story yet. |
| Cluster | YYVi-cU7Xa03 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.