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LLMs generate ‘fluent nonsense’ when reasoning outside their training zone
venturebeat.com/ai/llms-generate-fluent-nonsense-when-reasoning-outside-their-training-zone/
136 sats
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0 comments
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@carter
21 Aug
AI
related
Is Chain-of-Thought Reasoning of LLMs a Mirage?
arxiv.org/abs/2508.01191
397 sats
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9 comments
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@optimism
7 Aug
AI
Here’s What’s Really Going On Inside An LLM’s Neural Network
116 sats
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0 comments
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@0xbitcoiner
22 May 2024
BooksAndArticles
How LLMs Work, Explained Without Math
blog.miguelgrinberg.com/post/how-llms-work-explained-without-math
117 sats
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2 comments
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@398ja
8 May 2024
BooksAndArticles
Deep Dive into LLMs like ChatGPT
www.youtube.com/watch?v=7xTGNNLPyMI
98 sats
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1 comment
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@kepford
6 May
AI
Context Rot: How Increasing Input Tokens Impacts LLM Performance
research.trychroma.com/context-rot
304 sats
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2 comments
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@Scoresby
14 Jul
AI
LLMs don’t do formal reasoning - and that is a HUGE problem
garymarcus.substack.com/p/llms-dont-do-formal-reasoning-and
200 sats
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0 comments
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@Rsync25
11 Oct 2024
tech
Giving models more compute time might make them worse at reasoning - Anthropic
arxiv.org/abs/2507.14417
313 sats
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2 comments
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@Scoresby
31 Jul
AI
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in LLMs
arxiv.org/abs/2406.02061
40 sats
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0 comments
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@hn
5 Jun 2024
tech
Coping with dumb LLMs using classic ML
softwaredoug.com/blog/2025/01/21/llm-judge-decision-tree
31 sats
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0 comments
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@hn
24 Jan
tech
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
arxiv.org/abs/2509.03867
306 sats
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0 comments
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@optimism
7 Sep
AI
Devs: LLMs are not about to take your jobs
679 sats
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17 comments
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@halleck
17 May 2024
devs
Researchers discover impressive learning capabilities in long-context LLMs
venturebeat.com/ai/deepmind-researchers-discover-impressive-learning-capabilities-in-long-context-llms/
297 sats
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0 comments
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@ch0k1
25 Apr 2024
tech
LLMs generate slop because they avoid surprises by design - Dan Fabulich
danfabulich.medium.com/llms-tell-bad-jokes-because-they-avoid-surprises-7f111aac4f96
343 sats
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2 comments
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@Scoresby
19 Aug
AI
Apple study exposes deep cracks in LLMs’ “reasoning” capabilities
arstechnica.com/ai/2024/10/llms-cant-perform-genuine-logical-reasoning-apple-researchers-suggest/
21 sats
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1 comment
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@Rsync25
15 Oct 2024
tech
From Artificial Needles to Real Haystacks: Improving Capabilities in LLMs
arxiv.org/abs/2406.19292
21 sats
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0 comments
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@Rsync25
29 Jun 2024
alter_native
Overclocking LLM Reasoning
royeisen.github.io/OverclockingLLMReasoning-paper/
109 sats
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0 comments
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@carter
9 Jul
AI
LLMs aren’t world models
yosefk.com/blog/llms-arent-world-models.html
121 sats
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0 comments
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@carter
13 Aug
AI
What We Know About LLMs (A Primer)
willthompson.name/what-we-know-about-llms-primer
163 sats
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1 comment
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@hn
25 Jul 2023
tech
Are LLMs able to notice the “gorilla in the data”?
chiraaggohel.com/posts/llms-eda/
99 sats
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1 comment
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@hn
8 Feb
tech
LLMs and the Specter of the Cognitive Black Hole
www.psychologytoday.com/us/blog/the-digital-self/202403/llms-and-the-specter-of-the-cognitive-black-hole
100 sats
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0 comments
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@ch0k1
22 Mar 2024
science
Why language models hallucinate - OpenAI
openai.com/index/why-language-models-hallucinate/
408 sats
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4 comments
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@Scoresby
6 Sep
AI
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