Tag: carlini

  • Simon Willison’s Weblog: Career Update: Google DeepMind -> Anthropic

    Source URL: https://simonwillison.net/2025/Mar/5/google-deepmind-anthropic/ Source: Simon Willison’s Weblog Title: Career Update: Google DeepMind -> Anthropic Feedly Summary: Career Update: Google DeepMind -> Anthropic Nicholas Carlini (previously) on joining Anthropic, driven partly by his frustration at friction he encountered publishing his research at Google DeepMind after their merge with Google Brain. His area of expertise is adversarial…

  • Hacker News: Letting Language Models Write My Website

    Source URL: https://nicholas.carlini.com/writing/2025/llms-write-my-bio.html Source: Hacker News Title: Letting Language Models Write My Website Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents an engaging exploration of the capabilities and limitations of large language models (LLMs) through a creative project where the author generates a new homepage and biography each day using different…

  • Hacker News: A ChatGPT clone, in 3000 bytes of C, backed by GPT-2

    Source URL: https://nicholas.carlini.com/writing/2023/chat-gpt-2-in-c.html Source: Hacker News Title: A ChatGPT clone, in 3000 bytes of C, backed by GPT-2 Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a minimal implementation of the GPT-2 model in C, detailing the underlying architecture, supporting libraries, and operational principles of a transformer-based neural network. It…

  • Simon Willison’s Weblog: yet-another-applied-llm-benchmark

    Source URL: https://simonwillison.net/2024/Nov/6/yet-another-applied-llm-benchmark/#atom-everything Source: Simon Willison’s Weblog Title: yet-another-applied-llm-benchmark Feedly Summary: yet-another-applied-llm-benchmark Nicholas Carlini introduced this personal LLM benchmark suite back in February as a collection of over 100 automated tests he runs against new LLM models to evaluate their performance against the kinds of tasks he uses them for. There are two defining features…