Experimental News Clipping Site

Tag: .NET

  • Hacker News: Why Tracebit is written in C#

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    Kurt Seifried
    in

    Source URL: https://tracebit.com/blog/why-tracebit-is-written-in-c-sharp Source: Hacker News Title: Why Tracebit is written in C# Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the decision behind choosing C# as the programming language for a B2B SaaS security product, Tracebit. It highlights key factors such as productivity, open-source viability, cross-platform capabilities, language popularity, memory…

  • Hacker News: Notes on OpenAI O3-Mini

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/31/o3-mini/ Source: Hacker News Title: Notes on OpenAI O3-Mini Feedly Summary: Comments AI Summary and Description: Yes Summary: The announcement of OpenAI’s o3-mini model marks a significant development in the landscape of large language models (LLMs). With enhanced performance on specific benchmarks and user functionalities that include internet search capabilities, o3-mini aims to…

  • Simon Willison’s Weblog: OpenAI o3-mini, now available in LLM

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/31/o3-mini/#atom-everything Source: Simon Willison’s Weblog Title: OpenAI o3-mini, now available in LLM Feedly Summary: o3-mini is out today. As with other o-series models it’s a slightly difficult one to evaluate – we now need to decide if a prompt is best run using GPT-4o, o1, o3-mini or (if we have access) o1 Pro.…

  • Simon Willison’s Weblog: Mistral Small 3

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/30/mistral-small-3/#atom-everything Source: Simon Willison’s Weblog Title: Mistral Small 3 Feedly Summary: Mistral Small 3 First model release of 2025 for French AI lab Mistral, who describe Mistral Small 3 as “a latency-optimized 24B-parameter model released under the Apache 2.0 license." More notably, they claim the following: Mistral Small 3 is competitive with larger…

  • Simon Willison’s Weblog: Quoting Mark Zuckerberg

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/30/mark-zuckerberg/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Mark Zuckerberg Feedly Summary: Llama 4 is making great progress in training. Llama 4 mini is done with pre-training and our reasoning models and larger model are looking good too. Our goal with Llama 3 was to make open source competitive with closed models, and our…

  • Simon Willison’s Weblog: On DeepSeek and Export Controls

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/29/on-deepseek-and-export-controls/ Source: Simon Willison’s Weblog Title: On DeepSeek and Export Controls Feedly Summary: On DeepSeek and Export Controls Anthropic CEO (and previously GPT-2/GPT-3 development lead at OpenAI) Dario Amodei’s essay about DeepSeek includes a lot of interesting background on the last few years of AI development. Dario was one of the authors on…

  • Simon Willison’s Weblog: How we estimate the risk from prompt injection attacks on AI systems

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/29/prompt-injection-attacks-on-ai-systems/ Source: Simon Willison’s Weblog Title: How we estimate the risk from prompt injection attacks on AI systems Feedly Summary: How we estimate the risk from prompt injection attacks on AI systems The “Agentic AI Security Team" at Google DeepMind share some details on how they are researching indirect prompt injection attacks. They…

  • Simon Willison’s Weblog: Baroness Kidron’s speech regarding UK AI legislation

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/29/baroness-kidron-speech/ Source: Simon Willison’s Weblog Title: Baroness Kidron’s speech regarding UK AI legislation Feedly Summary: Baroness Kidron’s speech regarding UK AI legislation Barnstormer of a speech by UK film director and member of the House of Lords Baroness Kidron. This is the Hansard transcript but you can also watch the video on parliamentlive.tv.…

  • Simon Willison’s Weblog: Quoting Jack Clark

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/28/jack-clark-r1/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jack Clark Feedly Summary: The most surprising part of DeepSeek-R1 is that it only takes ~800k samples of ‘good’ RL reasoning to convert other models into RL-reasoners. Now that DeepSeek-R1 is available people will be able to refine samples out of it to convert any other…

  • Simon Willison’s Weblog: Quoting Ben Thompson

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/28/ben-thompson/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ben Thompson Feedly Summary: H100s were prohibited by the chip ban, but not H800s. Everyone assumed that training leading edge models required more interchip memory bandwidth, but that is exactly what DeepSeek optimized both their model structure and infrastructure around. Again, just to emphasize this point,…