Tag: reasoning
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Wired: Apple Engineers Show How Flimsy AI ‘Reasoning’ Can Be
Source URL: https://arstechnica.com/ai/2024/10/llms-cant-perform-genuine-logical-reasoning-apple-researchers-suggest/ Source: Wired Title: Apple Engineers Show How Flimsy AI ‘Reasoning’ Can Be Feedly Summary: The new frontier in large language models is the ability to “reason” their way through problems. New research from Apple says it’s not quite what it’s cracked up to be. AI Summary and Description: Yes Summary: The study…
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Slashdot: Apple Study Reveals Critical Flaws in AI’s Logical Reasoning Abilities
Source URL: https://apple.slashdot.org/story/24/10/15/1840242/apple-study-reveals-critical-flaws-in-ais-logical-reasoning-abilities?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Apple Study Reveals Critical Flaws in AI’s Logical Reasoning Abilities Feedly Summary: AI Summary and Description: Yes Summary: Apple’s AI research team identifies critical weaknesses in large language models’ reasoning capabilities, highlighting issues with logical consistency and performance variability due to question phrasing. This research underlines the potential reliability…
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Hacker News: AlphaCodium outperforms direct prompting of OpenAI’s o1 on coding problems
Source URL: https://www.qodo.ai/blog/system-2-thinking-alphacodium-outperforms-direct-prompting-of-openai-o1/ Source: Hacker News Title: AlphaCodium outperforms direct prompting of OpenAI’s o1 on coding problems Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses OpenAI’s new o1 model and introduces AlphaCodium, a novel tool designed to enhance code generation performance by integrating a structured, iterative approach. It…
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Hacker News: DeepSeek: Advancing theorem proving in LLMs through large-scale synthetic data
Source URL: https://arxiv.org/abs/2405.14333 Source: Hacker News Title: DeepSeek: Advancing theorem proving in LLMs through large-scale synthetic data Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces DeepSeek-Prover, an innovative approach that leverages large-scale synthetic data to improve the capabilities of large language models (LLMs) in formal theorem proving. It highlights the challenges…
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Hacker News: LLMs don’t do formal reasoning – and that is a HUGE problem
Source URL: https://garymarcus.substack.com/p/llms-dont-do-formal-reasoning-and Source: Hacker News Title: LLMs don’t do formal reasoning – and that is a HUGE problem Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses insights from a new article on large language models (LLMs) authored by researchers at Apple, which critically examines the limitations in reasoning capabilities of…
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Hacker News: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Source URL: https://arxiv.org/abs/2410.05229 Source: Hacker News Title: Understanding the Limitations of Mathematical Reasoning in Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a study on the mathematical reasoning capabilities of Large Language Models (LLMs), highlighting their limitations and introducing a new benchmark, GSM-Symbolic, for more effective evaluation. This…
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Wired: Amazon Dreams of AI Agents That Do the Shopping for You
Source URL: https://www.wired.com/story/amazon-ai-agents-shopping-guides-rufus/ Source: Wired Title: Amazon Dreams of AI Agents That Do the Shopping for You Feedly Summary: Amazon feeds its large language models vast quantities of retail data. It says its AI agents might someday be smart enough to buy you stuff without you even having to ask. AI Summary and Description: Yes…