Tag: coding

  • Simon Willison’s Weblog: Demo of ChatGPT Code Interpreter running in o3-mini-high

    Source URL: https://simonwillison.net/2025/Mar/5/code-interpreter/ Source: Simon Willison’s Weblog Title: Demo of ChatGPT Code Interpreter running in o3-mini-high Feedly Summary: Demo of ChatGPT Code Interpreter running in o3-mini-high OpenAI made GPT-4.5 available to Plus ($20/month) users today. I was a little disappointed with GPT-4.5 when I tried it through the API, but having access in the ChatGPT…

  • Hacker News: QwQ-32B: Embracing the Power of Reinforcement Learning

    Source URL: https://qwenlm.github.io/blog/qwq-32b/ Source: Hacker News Title: QwQ-32B: Embracing the Power of Reinforcement Learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in Reinforcement Learning (RL) as applied to large language models, particularly highlighting the launch of the QwQ-32B model. It emphasizes the model’s performance enhancements through RL and…

  • Hacker News: Expanding AI Overviews and Introducing AI Mode

    Source URL: https://blog.google/products/search/ai-mode-search/ Source: Hacker News Title: Expanding AI Overviews and Introducing AI Mode Feedly Summary: Comments AI Summary and Description: Yes Summary: Google has enhanced its search functionality with the introduction of Gemini 2.0 and the new AI Mode, aimed at providing users with faster and higher quality responses to complex queries. This upgrade…

  • Cloud Blog: GoStringUngarbler: Deobfuscating Strings in Garbled Binaries

    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/gostringungarbler-deobfuscating-strings-in-garbled-binaries/ Source: Cloud Blog Title: GoStringUngarbler: Deobfuscating Strings in Garbled Binaries Feedly Summary: Written by: Chuong Dong Overview In our day-to-day work, the FLARE team often encounters malware written in Go that is protected using garble. While recent advancements in Go analysis from tools like IDA Pro have simplified the analysis process, garble…

  • Hacker News: ARC-AGI without pretraining

    Source URL: https://iliao2345.github.io/blog_posts/arc_agi_without_pretraining/arc_agi_without_pretraining.html Source: Hacker News Title: ARC-AGI without pretraining Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents “CompressARC,” a novel method demonstrating that lossless information compression can generate intelligent behavior in artificial intelligence (AI) systems, notably in solving ARC-AGI puzzles without extensive pretraining or large datasets. This approach challenges conventional…

  • Hacker News: AI can decode digital data stored in DNA in minutes instead of days

    Source URL: https://www.newscientist.com/article/2469449-ai-can-decode-digital-data-stored-in-dna-in-minutes-instead-of-days/ Source: Hacker News Title: AI can decode digital data stored in DNA in minutes instead of days Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel AI-powered approach to reading data stored in DNA, significantly improving speed and accuracy over traditional methods. This advancement has implications for…

  • Hacker News: Looking Back at Speculative Decoding

    Source URL: https://research.google/blog/looking-back-at-speculative-decoding/ Source: Hacker News Title: Looking Back at Speculative Decoding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in large language models (LLMs) centered around a technique called speculative decoding, which significantly improves inference times without compromising output quality. This development is particularly relevant for professionals in…

  • Hacker News: Go-attention: A full attention mechanism and transformer in pure Go

    Source URL: https://github.com/takara-ai/go-attention Source: Hacker News Title: Go-attention: A full attention mechanism and transformer in pure Go Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a pure Go implementation of attention mechanisms and transformer layers by takara.ai. This implementation emphasizes high performance and usability, making it valuable for applications in AI,…