Experimental News Clipping Site

Tag: .NET

  • Simon Willison’s Weblog: Simon Willison And SWYX Tell Us Where AI Is In 2025

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/14/where-ai-is-in-2025/#atom-everything Source: Simon Willison’s Weblog Title: Simon Willison And SWYX Tell Us Where AI Is In 2025 Feedly Summary: Simon Willison And SWYX Tell Us Where AI Is In 2025 I recorded this podcast episode with Brian McCullough and swyx riffing off my Things we learned about LLMs in 2024 review. We also…

  • Simon Willison’s Weblog: Quoting Alex Komoroske

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/13/alex-komoroske/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Alex Komoroske Feedly Summary: LLMs shouldn’t help you do less thinking, they should help you do more thinking. They give you higher leverage. Will that cause you to be satisfied with doing less, or driven to do more? — Alex Komoroske, Bits and bobs Tags: llms,…

  • Simon Willison’s Weblog: Codestral 25.01

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/13/codestral-2501/ Source: Simon Willison’s Weblog Title: Codestral 25.01 Feedly Summary: Codestral 25.01 Brand new code-focused model from Mistral. Unlike the first Codestral this one isn’t (yet) available as open weights. The model has a 256k token context – a new record for Mistral. The new model scored an impressive joint first place with…

  • Simon Willison’s Weblog: Quoting Ben Hylak

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/12/ben-hylak/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ben Hylak Feedly Summary: I was using o1 like a chat model — but o1 is not a chat model. If o1 is not a chat model — what is it? I think of it like a “report generator.” If you give it enough context, and…

  • Simon Willison’s Weblog: Generative AI – The Power and the Glory

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/12/generative-ai-the-power-and-the-glory/#atom-everything Source: Simon Willison’s Weblog Title: Generative AI – The Power and the Glory Feedly Summary: Generative AI – The Power and the Glory Michael Liebreich’s epic report for BloombergNEF on the current state of play with regards to generative AI, energy usage and data center growth. I learned so much from reading…

  • Simon Willison’s Weblog: Agents

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/11/agents/ Source: Simon Willison’s Weblog Title: Agents Feedly Summary: Agents Chip Huyen’s 8,000 word practical guide to building useful LLM-driven workflows that take advantage of tools. Chip starts by providing a definition of “agents" to be used in the piece – in this case it’s LLM systems that plan an approach and then…

  • Hacker News: My AI/LLM predictions for the next 1, 3 and 6 years

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/ Source: Hacker News Title: My AI/LLM predictions for the next 1, 3 and 6 years Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents predictions regarding AI and Large Language Models (LLMs) over the next one, three, and six years, with insights into their potential applications, limitations, and societal…

  • Simon Willison’s Weblog: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/#atom-everything Source: Simon Willison’s Weblog Title: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends Feedly Summary: The Oxide and Friends podcast has an annual tradition of asking guests to share their predictions for the next 1, 3 and 6 years. Here’s 2022, 2023 and 2024. This…

  • Hacker News: Why aren’t we all serverless yet?

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    Kurt Seifried
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    Source URL: https://varoa.net/2025/01/09/serverless.html Source: Hacker News Title: Why aren’t we all serverless yet? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an in-depth analysis of the current state and challenges of serverless computing in cloud applications, highlighting the industry’s apprehension to fully adopt this model despite its potential benefits. The discussion…