The AI Bubble Explained
September 26, 2026 4 COMMENTS The AI Bubble Explained Four huge misconceptions in the AI space, told not very briefly: First misconception: AI is just doing math. There’s a quote making the rounds about how an algorithm can never gain consciousness because it’s just math describing a thing, and this would be like the formulas for gravity suddenly exerting force on mass. To start with, we don’t know how consciousness works (or gravity for that matter), but we do know neurons work a lot like logic gates in CPUs.
- ▪September 26, 2026 4 COMMENTS The AI Bubble Explained Four huge misconceptions in the AI space, told not very briefly: First misconception: AI is just doing math.
- ▪There’s a quote making the rounds about how an algorithm can never gain consciousness because it’s just math describing a thing, and this would be like the formulas for gravity suddenly exerting force on mass.
- ▪To start with, we don’t know how consciousness works (or gravity for that matter), but we do know neurons work a lot like logic gates in CPUs.
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Record
| Original publisher | Hugh Howey |
| Canonical URL | https://hughhowey.com/the-ai-bubble-explained/ |
| Publication time | Sat, 26 Sep 2026 15:55:36 +0000 |
| Retrieval time | 2026-09-26T18:30:14.432Z |
| Last seen | 2026-09-26T18:30:14.432Z |
| 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
September 26, 2026 4 COMMENTS The AI Bubble Explained Four huge misconceptions in the AI space, told not very briefly: First misconception: AI is just doing math. There’s a quote making the rounds about how an algorithm can never gain consciousness because it’s just math describing a thing, and this would be like the formulas for gravity suddenly exerting force on mass. This is a bad take for a few reasons. To start with, we don’t know how consciousness works (or gravity for that matter), but we do know neurons work a lot like logic gates in CPUs. There are voltage differences, inputs and outputs, and emergent properties that are much more complex than its simple components.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hugh Howey.
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