Tag: llms
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Simon Willison’s Weblog: Quoting Colin Fraser
Source URL: https://simonwillison.net/2025/Jan/4/colin-fraser/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Colin Fraser Feedly Summary: Claude is not a real guy. Claude is a character in the stories that an LLM has been programmed to write. Just to give it a distinct name, let’s call the LLM “the Shoggoth". When you have a conversation with Claude, what’s…
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Simon Willison’s Weblog: Using LLMs and Cursor to become a finisher
Source URL: https://simonwillison.net/2025/Jan/4/llms-and-cursor/#atom-everything Source: Simon Willison’s Weblog Title: Using LLMs and Cursor to become a finisher Feedly Summary: Using LLMs and Cursor to become a finisher Zohaib Rauf describes a pattern I’ve seen quite a few examples of now: engineers who moved into management but now find themselves able to ship working code again (at…
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Simon Willison’s Weblog: What we learned copying all the best code assistants
Source URL: https://simonwillison.net/2025/Jan/4/what-we-learned-copying-all-the-best-code-assistants/ Source: Simon Willison’s Weblog Title: What we learned copying all the best code assistants Feedly Summary: What we learned copying all the best code assistants Steve Krouse describes Val Town’s experience so far building features that use LLMs, starting with completions (powered by Codeium and Val Town’s own codemirror-codeium extension) and then…
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Hacker News: The State of Generative Models
Source URL: https://nrehiew.github.io/blog/2024/ Source: Hacker News Title: The State of Generative Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive overview of the advances in generative AI technologies, particularly focusing on Large Language Models (LLMs) and their architectures, image generation models, and emerging trends leading into 2025. It discusses…
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Hacker News: A path to O1 open source
Source URL: https://arxiv.org/abs/2412.14135 Source: Hacker News Title: A path to O1 open source Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in artificial intelligence, particularly focusing on the reinforcement learning approach to reproduce OpenAI’s o1 model. It highlights key components like policy initialization, reward design, search, and learning that contribute…
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Hacker News: What we learned copying all the best code assistants
Source URL: https://blog.val.town/blog/fast-follow/ Source: Hacker News Title: What we learned copying all the best code assistants Feedly Summary: Comments AI Summary and Description: Yes Summary: This text provides a historical overview of Val Town’s journey in developing LLM-driven code generation tools, highlighting innovations and challenges faced in the evolving landscape of AI-powered coding assistants. It…
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Simon Willison’s Weblog: Can LLMs write better code if you keep asking them to “write better code”?
Source URL: https://simonwillison.net/2025/Jan/3/asking-them-to-write-better-code/ Source: Simon Willison’s Weblog Title: Can LLMs write better code if you keep asking them to “write better code”? Feedly Summary: Can LLMs write better code if you keep asking them to “write better code”? Really fun exploration by Max Woolf, who started with a prompt requesting a medium-complexity Python challenge –…
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Hacker News: Can LLMs write better code if you keep asking them to "write better code"?
Source URL: https://minimaxir.com/2025/01/write-better-code/ Source: Hacker News Title: Can LLMs write better code if you keep asking them to "write better code"? Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text presents an extensive exploration of using large language models (LLMs), specifically Claude 3.5 Sonnet, for code optimization. It discusses various…