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Hot Take: LLM can 'jump'

Yong Zheng-Xin· ·7 min read · 0 reactions · 0 comments · 2 views
TL;DR · WeSearch summary

Hot Take: LLM can 'jump' An interconnected-knowledge thesis: what it means for scientific breakthroughs, potential safety risks, and continual learning. Published 8 August 2026 On This Page I want to lodge my takes on the how LLMs can advance science through major breakthroughs, and what the assumptions behind my takes imply for safety risks and continual learning. Let me start with my disagreement with the ICML’26 position paper that “LLM can’t jump” by Tom Zahavy.

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Hacker News (AI / LLM) files mainly under ai. We currently carry 4,177 of its stories.

Original article
Yong Zheng-Xin · Yong Zheng-Xin
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Record

Original publisherYong Zheng-Xin
Canonical URLhttps://yongzx.github.io/blog/2026/08/08/llm-can-jump
Publication timeSun, 09 Aug 2026 15:21:52 +0000
Retrieval time2026-08-09T15:25:43.158Z
Last seen2026-08-09T15:25:43.158Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Clusteroy8eB2qhQhc7 · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

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

Hot Take: LLM can 'jump' An interconnected-knowledge thesis: what it means for scientific breakthroughs, potential safety risks, and continual learning. Published 8 August 2026 On This Page I want to lodge my takes on the how LLMs can advance science through major breakthroughs, and what the assumptions behind my takes imply for safety risks and continual learning. Let me start with my disagreement with the ICML’26 position paper that “LLM can’t jump” by Tom Zahavy. Preliminaries In “LLMs can’t jump”, Tom used the General Relativity case study, where Einstein was inspired by his elevator thought experiment while trying to construct a mathematical theory of gravity. Mercury’s anomalous orbit later became an important test of the theory.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Yong Zheng-Xin.

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