AI is a bubble, just like dot-com
Andrej Karpathy has written large language models the way most of us have written CRUD apps. He was a founding member of OpenAI, ran AI at Tesla, and joined Anthropic this spring to train Claude. He wrote nanoGPT and llm.c, the small readable codebases people use to learn how a language model works end to end.
- ▪Andrej Karpathy has written large language models the way most of us have written CRUD apps.
- ▪He was a founding member of OpenAI, ran AI at Tesla, and joined Anthropic this spring to train Claude.
- ▪He wrote nanoGPT and llm.c, the small readable codebases people use to learn how a language model works end to end.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,826 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 | Constraintlab |
| Canonical URL | https://www.constraintlab.com/blog/ai-is-a-bubble-just-like-dot-com.html |
| Publication time | Wed, 05 Aug 2026 17:17:19 +0000 |
| Retrieval time | 2026-08-05T17:25:41.785Z |
| Last seen | 2026-08-05T17:25:41.785Z |
| 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 | 16TWQOLUHAvF · 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.
Opening excerpt (first ~120 words) tap to expand
Andrej Karpathy has written large language models the way most of us have written CRUD apps. He was a founding member of OpenAI, ran AI at Tesla, and joined Anthropic this spring to train Claude. He wrote nanoGPT and llm.c, the small readable codebases people use to learn how a language model works end to end. When Anthropic put Claude inside Slack, he called it “a new paradigm” — the third major redesign of how humans use these systems. Not a website you visit anymore, not an app you install, but “a self-contained, persistent, asynchronous entity with org-wide tools and context, working alongside teams of humans.” He closed with: “it works and it is awesome.” The replies had a different read.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Constraintlab.
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