MegaDev AI Workshop
The MegaDev AI Workshop runs from October 26 to November 1 and aims to deepen participants' understanding of generative AI. The schedule covers topics such as the mechanics of generative AI, steering models through context, building knowledge systems, working with AI harnesses, and constructing workflows. The workshop is led by Theo Browne, who emphasizes practical applications and strategic integration of AI tools.
- ▪The workshop spans a full week, from Monday, October 26 through Friday, October 30, with each day dedicated to a specific theme.
- ▪Its core goal is to enable participants to reason about generative AI beyond current tool limitations and turn AI into a leverage layer.
- ▪Sessions include introductions to AI mechanics, context-driven model steering, knowledge system construction, harness interfaces, and workflow design.
- ▪Theo Browne, known for strong opinions on technology stacks, leads the workshop and guides participants through practical AI integration.
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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 | Mega |
| Canonical URL | https://mega.dev |
| Publication time | Sat, 08 Aug 2026 00:07:01 +0000 |
| Retrieval time | 2026-08-08T00:15:42.752Z |
| Last seen | 2026-08-08T00:15:42.752Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| 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.
Opening excerpt (first ~120 words) tap to expand
01Week 1Oct 26 – Nov 1CoreGoalUnderstand generative AI deeply enough to reason beyond current tools.Progressionmodels → context → knowledge → harnesses → workflowsPromiseTurn AI into a leverage layer you can reason about.by Theo BrowneTheo has strong opinions about your stack, your harness, and probably your keyboard — the annoying part is how often he's right.MON · OCT 26Mechanics Behind Generative AIIntroduction · Mechanics · Limitations · Providers · Interactions · SteeringagendaTUE · OCT 27Steering Models Through ContextSettings · Context · Processing · Skills · Tools · SubagentsagendaWED · OCT 28Building Knowledge SystemsFiles · Style Guide · Specifications · Tasks · Library · ResearchagendaTHU · OCT 29Working with AI HarnessesHarnesses · Interfaces · Settings · Workflows · Teamwork…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Mega.
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