Karpathy's autoresearch and the cognitive labor displacement thesis converge on the same conclusion: the scientific method is being automated, and the knowledge workforce may be the next casualty.

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

If you're a penetration tester, red teamer, or security engineer, this book gives you patterns that you can adapt to your environment.

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

There are three common problems people face when working with AI: not understanding how AI made a decision (opacity), the human in the loop becoming over-reliant on AI and falling asleep at the wheel ...

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw ...

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

Infosecurity spoke to several experts to explore what CISOs should do to contain the viral AI agent tool’s security vulnerabilities ...

Wondering if Linux has AI companions that are as accessible, capable, and easy to use as Microsoft Copilot? Try these AI ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Yann LeCun’s new startup AMI launched with a $1.03 billion seed round to build AI “world models,” betting against the LLM-first approach.