https://www.solosoft.dev/tags/andrej-karpathy/Recent content in Andrej Karpathy on SoloSoftHugoen-usFri, 01 May 2026 00:00:00 +0000https://www.solosoft.dev/post/karpathy-autoresearch-2026/Fri, 01 May 2026 00:00:00 +0000https://www.solosoft.dev/post/karpathy-autoresearch-2026/<p>The scientific research process is notoriously labor-intensive, with literature review, experiment design, and validation consuming months of effort before any novel contribution emerges. <strong>AutoResearch</strong> (karpathy/autoresearch on GitHub) is Andrej Karpathy&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.</p> <p>Created by one of the most influential figures in modern AI, AutoResearch reflects Karpathy&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.</p>https://www.solosoft.dev/post/llm-c-training-2026/Fri, 01 May 2026 00:00:00 +0000https://www.solosoft.dev/post/llm-c-training-2026/<p>Most developers and researchers who work with large language models interact with them through high-level frameworks like PyTorch or Hugging Face Transformers. These frameworks hide immense complexity behind elegant APIs, but they also obscure the fundamental mechanics of how these models actually learn. <strong>llm.c</strong> tears away that abstraction, providing a complete, working implementation of GPT-2 training in pure C.</p> <p>Created by Andrej Karpathy (formerly Director of AI at Tesla, co-founder of OpenAI), llm.c is first and foremost an educational project. It implements the entire forward pass, backward pass, and training loop for a transformer language model using nothing but standard C libraries, without a single dependency on PyTorch, TensorFlow, or any machine learning framework.</p>https://www.solosoft.dev/post/nanochat-llm-2026/Fri, 01 May 2026 00:00:00 +0000https://www.solosoft.dev/post/nanochat-llm-2026/<p>Modern AI chat interfaces are marvels of engineering, but their complexity can obscure the fundamental mechanisms that make them work. <strong>nanoChat</strong> (karpathy/nanochat on GitHub) is Andrej Karpathy&rsquo;s deliberate exercise in minimalism &ndash; a chat interface for LLMs that is simple enough for a developer to read and understand in a single sitting.</p> <p>Created as an educational tool, nanoChat strips away everything that is not essential to the core experience of chatting with a language model. The result is a remarkably compact codebase that demonstrates tokenization, context management, response streaming, parameter tuning, and multi-turn conversation in a few hundred lines of clear, well-commented code.</p>