"Why string theory isn't real physics | Roger Penrose, Brian Greene, and Eric Weinstein" - https://youtu.be/5GGGhI9ablQ

It did not work out....

Comments URL: https://news.ycombinator.com/item?id=49323050

Points: 2

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Comments URL: https://news.ycombinator.com/item?id=49322814

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In the meanwhile, we can all publicly see how the the billionaires and trillionaires, behave and settle their priorities exactly, in the cartoonish way you are dismissing.

- The incredible insecurity and constant need for personal validation.

- The absurd and obsessive pursue of further wealth when it would be temporally impossible to even spend 1% of their current capital.

- The extreme level of cowardice, where an auto plant worker, can call out the powers to be, the pedophile protectors that they are. At the same time, only Jensen Huang did not submit itself, to the humiliation of standing behind face and front at the presidential inauguration...

https://en.wikipedia.org/wiki/Leonard_Susskind

Comments URL: https://news.ycombinator.com/item?id=49318773

Points: 8

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Yes, we have all seen the math theorems being proven... just higher processing power at the service of the same algorithmic and conceptual patterns? [1]

I am sure the next version of Opus or GPT, if given only fifth grade knowledge, will somehow be able to build all the mathematics necessary to solve the problem on its own... right? Right?

[1] - "AI Isn’t Outthinking Mathematicians. It’s Out-Remembering Them" - https://davidepiffer.com/p/ai-isnt-outthinking-mathematician...

And for the inevitable critics of Sabine...maybe Leonard Susskind is good enough for you: https://youtu.be/2p_Hlm6aCok

Comments URL: https://news.ycombinator.com/item?id=49313867

Points: 5

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Comments URL: https://news.ycombinator.com/item?id=49313519

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Comments URL: https://news.ycombinator.com/item?id=49310551

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Comments URL: https://news.ycombinator.com/item?id=49301260

Points: 471

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They though they would laugh all the way to the bank...but that laugh was already the problem...

"We Need To Talk About Leopold" - https://youtu.be/rE75WvOtcu8

Most of these are 2026....

Frontier LLMs Still Struggle with Simple Reasoning Tasks - https://arxiv.org/abs/2507.07313

General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging Tasks - https://arxiv.org/abs/2604.11778

LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening - https://arxiv.org/abs/2605.19597

LogicGraph: Benchmarking Multi-Path Logical Reasoning via Neuro-Symbolic Generation and Verification - https://arxiv.org/abs/2602.21044

Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models - https://arxiv.org/abs/2607.08317

Vision-Language Models Lag Human Performance on Physical Dynamics and Intent Reasoning - https://arxiv.org/abs/2601.01547

Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects? - https://arxiv.org/abs/2605.20448

The Reversal Curse: LLMs Trained on “A is B” Fail to Learn “B is A” - https://arxiv.org/abs/2309.12288

Large Language Model Reasoning Failures - https://arxiv.org/abs/2602.06176

"General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging Tasks" https://arxiv.org/abs/2604.11778

"...General365, a benchmark specifically designed to assess general reasoning in LLMs. By restricting background knowledge to a K-12 level, General365 explicitly decouples reasoning from specialized expertise. The benchmark comprises 365 seed problems and 1,095 variant problems across eight categories, ensuring both high difficulty and diversity. Evaluations across 26 leading LLMs reveal that even the top-performing model achieves only 62.8% accuracy, in stark contrast to the near-perfect performances of LLMs in math and physics benchmarks..."

"Frontier LLMs Still Struggle with Simple Reasoning Tasks" https://arxiv.org/abs/2507.07313

"General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging Tasks" https://arxiv.org/abs/2604.11778

"...General365, a benchmark specifically designed to assess general reasoning in LLMs. By restricting background knowledge to a K-12 level, General365 explicitly decouples reasoning from specialized expertise. The benchmark comprises 365 seed problems and 1,095 variant problems across eight categories, ensuring both high difficulty and diversity. Evaluations across 26 leading LLMs reveal that even the top-performing model achieves only 62.8% accuracy, in stark contrast to the near-perfect performances of LLMs in math and physics benchmarks..."

So what happen is a prompt said for example, find freelance opportunities in Ireland but keep in mind some of these might be available via temp agencies in London.

If you offer me not freelance but permanent roles, and not in Ireland in London...that is a logic failure.

Its this type of complexity with the normal world, that these SOTA constructions so badly fail at, and so spectacularly fail at the margins... despite maxing all benchmarks...Parlour trick.