No, an AI cannot know the future and never will..
The article discusses the limitations of artificial intelligence in predicting the future, citing the complexity of event chains and the finite nature of human experiences. It highlights the issues with current modalities used to train AI models, including the lack of low-level event chains and the dependence on human perspectives. The article concludes that these limitations will hold back the development of AI for some time.
- ▪AI models are trained on finite and limited event chains, which do not capture the full complexity of real-life events.
- ▪The current modalities used to train AI models are dependent on human perspectives and lack low-level event chains.
- ▪The finite nature of human experiences and the limitations of current modalities will hold back the development of AI.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,275 of its stories.
Story provenance
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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 | Substack |
| Canonical URL | https://pulkitsharma.substack.com/p/no-an-ai-cannot-know-the-future-and |
| Publication time | Sun, 19 Jul 2026 01:15:43 +0000 |
| Retrieval time | 2026-07-19T06:42:27.937Z |
| Last seen | 2026-07-19T06:42:27.937Z |
| 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 | CXYMrHK7xdWF |
| 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
No, an AI cannot know the future and never will..Confronting the Chaos and DemonsPulkit SharmaJul 19, 202611Sharehttps://xkcd.com/248/“A butterfly flaps its wings… the resulting air movement creates a chain of disruptions. This disruption propagates across the ocean, eventually feeding into a massive, swirling hurricane.”“A butterfly flaps its wings… the resulting air movement creates the sufficient force required to dislodge an extra spore in the air which would then seed the mushroom in your garden”Let’s call these sequence of events as event chains. These event chains are something which us humans have been capturing using different modalities (audio, text, images, movies) for quite sometime now. And as you know, now happily handed over as inputs to train AI models.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Substack.
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