Experimental News Clipping Site

Tag: limitations

  • The Cloudflare Blog: Building agents with OpenAI and Cloudflare’s Agents SDK

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    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/building-agents-with-openai-and-cloudflares-agents-sdk/ Source: The Cloudflare Blog Title: Building agents with OpenAI and Cloudflare’s Agents SDK Feedly Summary: We’re building AI agents where logic and reasoning are handled by OpenAI’s Agents SDK, and execution happens across Cloudflare’s global network via Cloudflare’s Agents SDK. AI Summary and Description: Yes **Summary:** The text provides an in-depth exploration…

  • Docker: Docker State of App Dev: AI

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/docker-state-of-app-dev-ai/ Source: Docker Title: Docker State of App Dev: AI Feedly Summary: AI is changing software development — but not how you think The hype is real, but so are the challenges. Here’s what developers, teams, and tech leaders need to know about AI’s uneven, evolving role in software. Rumors of AI’s pervasiveness…

  • Cloud Blog: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-fine-tune-video-outputs-using-vertex-ai/ Source: Cloud Blog Title: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI Feedly Summary: Recently, we announced Gemini 2.5 is generally available on Vertex AI. As part of this update, tuning capabilities have extended beyond text outputs – now, you can tune image, audio, and video outputs on…

  • Simon Willison’s Weblog: My First Open Source AI Generated Library

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/21/my-first-open-source-ai-generated-library/#atom-everything Source: Simon Willison’s Weblog Title: My First Open Source AI Generated Library Feedly Summary: My First Open Source AI Generated Library Armin Ronacher had Claude and Claude Code do almost all of the work in building, testing, packaging and publishing a new Python library based on his design: It wrote ~1100 lines…

  • Slashdot: Anthropic Deploys Multiple Claude Agents for ‘Research’ Tool – Says Coding is Less Parallelizable

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    Kurt Seifried
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    Source URL: https://developers.slashdot.org/story/25/06/21/0442227/anthropic-deploys-multiple-claude-agents-for-research-tool—says-coding-is-less-parallelizable Source: Slashdot Title: Anthropic Deploys Multiple Claude Agents for ‘Research’ Tool – Says Coding is Less Parallelizable Feedly Summary: AI Summary and Description: Yes **Summary:** Anthropic has introduced a novel AI feature involving multiple Claude agents working collaboratively for research purposes. This feature allows agents to search across various contexts but raises…

  • Simon Willison’s Weblog: AbsenceBench: Language Models Can’t Tell What’s Missing

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/20/absencebench/#atom-everything Source: Simon Willison’s Weblog Title: AbsenceBench: Language Models Can’t Tell What’s Missing Feedly Summary: AbsenceBench: Language Models Can’t Tell What’s Missing Here’s another interesting result to file under the “jagged frontier" of LLMs, where their strengths and weaknesses are often unintuitive. Long context models have been getting increasingly good at passing "Needle…

  • Simon Willison’s Weblog: How OpenElections Uses LLMs

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jun/19/how-openelections-uses-llms/#atom-everything Source: Simon Willison’s Weblog Title: How OpenElections Uses LLMs Feedly Summary: How OpenElections Uses LLMs The OpenElections project collects detailed election data for the USA, all the way down to the precinct level. This is a surprisingly hard problem: while county and state-level results are widely available, precinct-level results are published in…

  • Slashdot: Reasoning LLMs Deliver Value Today, So AGI Hype Doesn’t Matter

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/06/19/165237/reasoning-llms-deliver-value-today-so-agi-hype-doesnt-matter?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Reasoning LLMs Deliver Value Today, So AGI Hype Doesn’t Matter Feedly Summary: AI Summary and Description: Yes Summary: The commentary by Simon Willison highlights a debate surrounding the effectiveness and applicability of large language models (LLMs), particularly in the context of their limitations and the recent critiques by various…

  • Simon Willison’s Weblog: Coding agents require skilled operators

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/18/coding-agents/#atom-everything Source: Simon Willison’s Weblog Title: Coding agents require skilled operators Feedly Summary: I wrote this recently in a conversation about whether coding agents can work as a replacement for human programmers. The “agentic" coding tools we have right now work like this: A skilled individual with both deep domain understanding and deep…