<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Papers on SoloSoft</title><link>https://www.solosoft.dev/es/tags/papers/</link><description>Recent content in Papers on SoloSoft</description><generator>Hugo</generator><language>es-es</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/es/tags/papers/index.xml" rel="self" type="application/rss+xml"/><item><title>AutoResearch: Karpathy's AI-Powered Research Assistant</title><link>https://www.solosoft.dev/es/post/karpathy-autoresearch-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/es/post/karpathy-autoresearch-2026/</guid><description>&lt;p&gt;The scientific research process is notoriously labor-intensive, with literature review, experiment design, and validation consuming months of effort before any novel contribution emerges. &lt;strong&gt;AutoResearch&lt;/strong&gt; (karpathy/autoresearch on GitHub) is Andrej Karpathy&amp;rsquo;s vision for accelerating this process through an AI-powered research assistant that can autonomously read papers, perform computational experiments, and generate actionable research insights.&lt;/p&gt;
&lt;p&gt;Created by one of the most influential figures in modern AI, AutoResearch reflects Karpathy&amp;rsquo;s deep understanding of both the research process and the capabilities of modern language models. The system operates as an autonomous loop: it reads papers in a specified domain, identifies gaps or open questions, designs experiments to address them, writes and executes code, analyzes the results, and synthesizes findings into coherent research narratives.&lt;/p&gt;</description></item></channel></rss>