Tag: Large Language Models (LLMs)

  • Simon Willison’s Weblog: Quoting Sam Altman

    Source URL: https://simonwillison.net/2025/Feb/9/sam-altman/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Sam Altman Feedly Summary: The cost to use a given level of AI falls about 10x every 12 months, and lower prices lead to much more use. You can see this in the token cost from GPT-4 in early 2023 to GPT-4o in mid-2024, where the…

  • Hacker News: PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models

    Source URL: https://arxiv.org/abs/2502.01584 Source: Hacker News Title: PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a new benchmark for evaluating the reasoning capabilities of large language models (LLMs), highlighting the difference between evaluating general knowledge compared to specialized knowledge.…

  • Hacker News: Modern-Day Oracles or Bullshit Machines

    Source URL: https://thebullshitmachines.com Source: Hacker News Title: Modern-Day Oracles or Bullshit Machines Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the transformative impact of Large Language Models (LLMs) on various facets of life while acknowledging the potential negative consequences, such as the proliferation of misinformation. This insight is pivotal for professionals…

  • Hacker News: The LLM Curve of Impact on Software Engineers

    Source URL: https://serce.me/posts/2025-02-07-the-llm-curve-of-impact-on-software-engineers Source: Hacker News Title: The LLM Curve of Impact on Software Engineers Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The article discusses the varying impact of large language models (LLMs) on software engineers’ productivity based on their experience level. It highlights that junior engineers find LLMs particularly useful for learning…

  • Hacker News: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf]

    Source URL: https://arxiv.org/abs/2502.03860 Source: Hacker News Title: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf] Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces BOLT, a method designed to enhance the reasoning capabilities of large language models (LLMs) by generating long chains of thought (LongCoT) without relying on knowledge distillation. The…

  • Hacker News: Zep AI (YC W24) Is Hiring Engineers to Build SOTA Agent Memory

    Source URL: https://www.ycombinator.com/companies/zep-ai/jobs/e2QxKYu-staff-engineer Source: Hacker News Title: Zep AI (YC W24) Is Hiring Engineers to Build SOTA Agent Memory Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Zep AI, a company focused on enhancing AI agents with advanced memory capabilities through a knowledge graph technology. It outlines an opportunity for a…

  • Hacker News: Why LLMs still suck at OCR

    Source URL: https://www.runpulse.com/blog/why-llms-suck-at-ocr Source: Hacker News Title: Why LLMs still suck at OCR Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the challenges faced when using Large Language Models (LLMs) for tasks like Optical Character Recognition (OCR) and complex data extraction, emphasizing their limitations in processing intricate document layouts and the…

  • The Register: Creators demand tech giants fess up and pay for all that AI training data

    Source URL: https://www.theregister.com/2025/02/07/ai_training_data_committee/ Source: The Register Title: Creators demand tech giants fess up and pay for all that AI training data Feedly Summary: But ‘original sin’ has already been committed, shrugs industry Governments are allowing AI developers to steal content – both creative and journalistic – for fear of upsetting the tech sector and damaging…