The article details “autoresearch,” a project by Karpathy where an AI agent autonomously experiments with training a small language model (nanochat) to improve its performance. The agent modifies the `train.py` file, trains for a fixed 5-minute period, and evaluates the results, repeating this process to iteratively refine the model. The project aims to demonstrate autonomous AI research, focusing on a simplified, single-GPU setup with a clear metric (validation bits per byte).
* **Autonomous Research:** The core concept of AI-driven experimentation.
* **nanochat:** The small language model used for training.
* **Fixed Time Budget:** Each experiment runs for exactly 5 minutes.
* **program.md:** The file containing instructions for the AI agent.
* **Single-File Modification:** The agent only edits `train.py`.
* **Autonomous Research:** The core concept of AI-driven experimentation.
* **nanochat:** The small language model used for training.
* **Fixed Time Budget:** Each experiment runs for exactly 5 minutes.
* **program.md:** The file containing instructions for the AI agent.
* **Single-File Modification:** The agent only edits `train.py`.
This article details how to use Ollama to run large language models locally, protecting sensitive data by keeping it on your machine. It covers installation, usage with Python, LangChain, and LangGraph, and provides a practical example with FinanceGPT, while also discussing the tradeoffs of using local LLMs.
Program embedded devices with natural language. No firmware updates required. ScriptO Studio is a next-generation Integrated Development and Execution Environment (IDEE) for embedded devices running MicroPython.
yoagent is a simple, effective agent loop with tool execution and event streaming in Rust. Inspired by pi-agent-core. It features a stateful agent, multi-provider support, built-in tools, and context management.
NVIDIA GTC is the premier AI conference and exhibition. Learn about the latest advancements in AI, deep learning, and accelerated computing. Includes keynote speakers, sessions, workshops, and an exhibit hall.
Anthropic is clashing with the Pentagon over the military's use of its AI systems, particularly regarding autonomous weaponry and mass surveillance. A key point of contention arose when the Pentagon asked if Claude could be used to help intercept a nuclear missile, a request Anthropic resisted, raising concerns about unrestricted AI use and potential risks. OpenAI is also signaling it would take a similar stance.
The use of AI tools in the attacks on Iran is collapsing the time required for military decision-making, raising fears that human oversight is being sidelined. The US military reportedly used Anthropic’s Claude AI model to shorten the 'kill chain' during almost 900 strikes on Iranian targets, including one that killed Ayatollah Ali Khamenei.
For some, artificial intelligence tools answer questions and make life more efficient. But for others, AI has become a form of companionship – a virtual friend, a therapist, even a romantic partner. Is AI a cure for loneliness? Or is this a symptom of something gone very wrong? Horizons moderator William Brangham explores AI relationships with Sherry Turkle, Justin Gregg and Nick Thompson.
In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an aggregator agent, where each component plays a specialized role in solving complex tasks. We use the planner agent to decompose high-level goals into actionable steps, the executor agent to execute those steps using reasoning or Python tool execution, and the aggregator agent to synthesize results into a coherent final response. By integrating tool usage, structured planning, and iterative execution, we create a fully autonomous agent system that demonstrates how modern AI agents reason, plan, and act in a scalable and modular manner.
Permacomputing is a concept and community of practice oriented around resilience and regenerativity in computer and network technology, inspired by permaculture. It encourages a sustainable approach to computing, maximizing hardware lifespans, minimizing energy use, and focusing on existing resources.
