<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: ursaguild</title><link>https://news.ycombinator.com/user?id=ursaguild</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Mon, 12 Oct 2026 00:27:26 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=ursaguild" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by ursaguild in "Build your own decision model"]]></title><description><![CDATA[
<p>This is really cool to see. Being able to play the token generation was awesome. Amazing job with breaking down how to think about these models. This made the idea of Jev/decision models really easy to grasp for me. The idea of calibrating the model was helpful. I thought this was a great overview.</p>
]]></description><pubDate>Sun, 11 Oct 2026 00:25:53 +0000</pubDate><link>https://news.ycombinator.com/item?id=50038492</link><dc:creator>ursaguild</dc:creator><comments>https://news.ycombinator.com/item?id=50038492</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50038492</guid></item><item><title><![CDATA[New comment by ursaguild in "A practical guide to building agents [pdf]"]]></title><description><![CDATA[
<p>Especially with a client, consider the word choices around "learning". When using llms, agents, or rag, the system isn't learning (yet) but making a decision based on the context you provide. Most models are a fixed snapshot. If you provide up to date information, it will be able to give you an output based on that.<p>"Learning" happens when initially training the llm or arguably when fine-tuning. Neither of which are needed for your use case as presented.</p>
]]></description><pubDate>Wed, 04 Jun 2025 21:10:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=44185593</link><dc:creator>ursaguild</dc:creator><comments>https://news.ycombinator.com/item?id=44185593</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44185593</guid></item><item><title><![CDATA[New comment by ursaguild in "A practical guide to building agents [pdf]"]]></title><description><![CDATA[
<p>Ingesting documents and using natural language to search your org docs with an internal assistant sounds more like a good use case for RAG[1]. Agents are best when you need to autonomously plan and execute a series of actions[2]. You can combine the two but knowing when depends on the use case.<p>I really like the OpenAI approach and how they outlined the thought process of when and how to use agents.<p>[1] <a href="https://www.willowtreeapps.com/craft/retrieval-augmented-generation" rel="nofollow">https://www.willowtreeapps.com/craft/retrieval-augmented-gen...</a><p>[2] <a href="https://www.willowtreeapps.com/craft/building-ai-agents-with-plan-and-execute" rel="nofollow">https://www.willowtreeapps.com/craft/building-ai-agents-with...</a></p>
]]></description><pubDate>Wed, 04 Jun 2025 20:13:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=44184983</link><dc:creator>ursaguild</dc:creator><comments>https://news.ycombinator.com/item?id=44184983</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44184983</guid></item><item><title><![CDATA[New comment by ursaguild in "A Survey of AI Agent Protocols"]]></title><description><![CDATA[
<p>I was under the impression ACL supersedes KQML and was proposed by FIPA?</p>
]]></description><pubDate>Sun, 04 May 2025 14:11:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=43886802</link><dc:creator>ursaguild</dc:creator><comments>https://news.ycombinator.com/item?id=43886802</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43886802</guid></item><item><title><![CDATA[New comment by ursaguild in "A Survey of AI Agent Protocols"]]></title><description><![CDATA[
<p>This article was written a few weeks after MCP was released and touches on why MCP is important. While I guess you could argue that technically there's nothing to it, protocols such as MCP is addressing a missing need to standardize interactions between your ai app and another service. Code needs to now be written for users, devs (apis), and ai.<p><a href="https://www.willowtreeapps.com/craft/is-anthropic-model-context-protocol-right-for-you" rel="nofollow">https://www.willowtreeapps.com/craft/is-anthropic-model-cont...</a></p>
]]></description><pubDate>Sun, 04 May 2025 13:39:07 +0000</pubDate><link>https://news.ycombinator.com/item?id=43886637</link><dc:creator>ursaguild</dc:creator><comments>https://news.ycombinator.com/item?id=43886637</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43886637</guid></item><item><title><![CDATA[New comment by ursaguild in "A Survey of AI Agent Protocols"]]></title><description><![CDATA[
<p>smolagents by huggingface would be more of an agent framework. If it was discussed we would see smolagents/llamaindex/pydantic/etc with frameworks on figure 2. Several frameworks were left off in this paper as it focuses more on the protocols.<p><a href="https://huggingface.co/docs/smolagents/" rel="nofollow">https://huggingface.co/docs/smolagents/</a></p>
]]></description><pubDate>Sun, 04 May 2025 13:32:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=43886612</link><dc:creator>ursaguild</dc:creator><comments>https://news.ycombinator.com/item?id=43886612</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43886612</guid></item><item><title><![CDATA[New comment by ursaguild in "OpenAI adds MCP support to Agents SDK"]]></title><description><![CDATA[
<p>The real benefit I see from mcp is that we are now writing programs for users and ai assistants/agents.<p>By writing mcp servers for our services/apps we are allowing a standardized way for ai assistants to integrate with tools and services across apps.</p>
]]></description><pubDate>Thu, 27 Mar 2025 15:27:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=43494651</link><dc:creator>ursaguild</dc:creator><comments>https://news.ycombinator.com/item?id=43494651</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43494651</guid></item><item><title><![CDATA[New comment by ursaguild in "Show HN: Countless.dev – A website to compare every AI model: LLMs, TTSs, STTs"]]></title><description><![CDATA[
<p>Just saw that this was built for a hackathon. Huge kudos and congratulations!</p>
]]></description><pubDate>Sat, 07 Dec 2024 13:02:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=42349512</link><dc:creator>ursaguild</dc:creator><comments>https://news.ycombinator.com/item?id=42349512</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42349512</guid></item><item><title><![CDATA[New comment by ursaguild in "Show HN: Countless.dev – A website to compare every AI model: LLMs, TTSs, STTs"]]></title><description><![CDATA[
<p><a href="https://lmarena.ai" rel="nofollow">https://lmarena.ai</a></p>
]]></description><pubDate>Sat, 07 Dec 2024 12:48:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=42349437</link><dc:creator>ursaguild</dc:creator><comments>https://news.ycombinator.com/item?id=42349437</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42349437</guid></item><item><title><![CDATA[New comment by ursaguild in "Show HN: Countless.dev – A website to compare every AI model: LLMs, TTSs, STTs"]]></title><description><![CDATA[
<p>I like the idea of more comparisons of models. Are there plans to add independent analyses of these models or is it only an aggregation of input limits?<p>How do you see this differing from or adding to other analyses such as:<p><a href="https://artificialanalysis.ai" rel="nofollow">https://artificialanalysis.ai</a><p><a href="https://huggingface.co/spaces/TTS-AGI/TTS-Arena" rel="nofollow">https://huggingface.co/spaces/TTS-AGI/TTS-Arena</a><p><a href="https://huggingface.co/spaces/hf-audio/open_asr_leaderboard" rel="nofollow">https://huggingface.co/spaces/hf-audio/open_asr_leaderboard</a><p><a href="https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena" rel="nofollow">https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena</a><p>Great work on all the aggregation. The website is nice to navigate.</p>
]]></description><pubDate>Sat, 07 Dec 2024 12:38:58 +0000</pubDate><link>https://news.ycombinator.com/item?id=42349387</link><dc:creator>ursaguild</dc:creator><comments>https://news.ycombinator.com/item?id=42349387</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42349387</guid></item><item><title><![CDATA[GPT-4o's Personality Revealed: An INFJ in the Machine?]]></title><description><![CDATA[
<p>Article URL: <a href="https://cfrenchi.github.io/llm/mbti/2024/11/17/gpt4o-personality-assessment.html">https://cfrenchi.github.io/llm/mbti/2024/11/17/gpt4o-personality-assessment.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42165574">https://news.ycombinator.com/item?id=42165574</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 17 Nov 2024 17:46:41 +0000</pubDate><link>https://cfrenchi.github.io/llm/mbti/2024/11/17/gpt4o-personality-assessment.html</link><dc:creator>ursaguild</dc:creator><comments>https://news.ycombinator.com/item?id=42165574</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42165574</guid></item></channel></rss>