
The Multiplayer AI Manifesto
Introducing the Multiplayer AI Manifesto By Sergey Karayev. · September 8, 2026 The Full Stack began as Full Stack Deep Learning: a place to learn how to turn models into useful products. As agents take on more of that work, we need to share tools and best practices about working with them most effectively. I wrote the Multiplayer AI Manifesto to describe what that collaboration should look like.
- ▪Introducing the Multiplayer AI Manifesto By Sergey Karayev. · September 8, 2026 The Full Stack began as Full Stack Deep Learning: a place to learn how to turn models into useful products.
- ▪As agents take on more of that work, we need to share tools and best practices about working with them most effectively.
- ▪I wrote the Multiplayer AI Manifesto to describe what that collaboration should look like.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,494 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 | Hacker News (AI / LLM) |
| Canonical URL | https://fullstackdeeplearning.com/working-with-ai-agents/multiplayer-ai-manifesto/ |
| Publication time | Fri, 11 Sep 2026 13:56:06 +0000 |
| Retrieval time | 2026-09-11T14:07:43.829Z |
| Last seen | 2026-09-11T14:07:43.829Z |
| 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
Introducing the Multiplayer AI Manifesto By Sergey Karayev. · September 8, 2026 The Full Stack began as Full Stack Deep Learning: a place to learn how to turn models into useful products. As agents take on more of that work, we need to share tools and best practices about working with them most effectively. I wrote the Multiplayer AI Manifesto to describe what that collaboration should look like. It grew out of building Superconductor, a multiplayer AI platform, and talking with teams adopting AI across their companies. What is multiplayer AI? Multiplayer AI means teammates can participate in the same agent session, with shared context and access to the tools where work happens.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).