Thanks to recent Gemma 4 and Qwen releases, you can get some real generative AI work done on your own computer. Here’s how to optimize an Ollama setup.
The Human Rights Center at UC Berkeley School of Law has released a human rights assessment of the use of large language ...
Learn how to audit AI agents with identity-based logging, LLM request tracking, data controls, tool authorization, and pre-request security policies.
[Andrej Karpathy] recently released llm.c, a project that focuses on LLM training in pure C, once again showing that working with these tools isn’t necessarily reliant on sprawling development ...
New research examines how large language models can help organizations balance performance, scalability and cost across ...
A16z data shows AI agents consuming roughly five times more LLM tokens than humans, highlighting how autonomous workloads are reshaping AI economics.
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Anthropic recently unveiled "J-Space," an internal workspace within large language models ...
XDA Developers on MSN
I let a local LLM loose on my server logs, and it caught problems I would've missed for weeks
I should have done this sooner.
Half the time you use any AI for something research-heavy, the opening exchange isn't the question you actually want to ask.
Anthropic Claude's routing logs held SSH keys, VPN configs, and cloud API tokens that developers unknowingly paste into AI ...
Anyone who has used the Internet in recent years is probably used to encountering telltale signs of LLM prompting that lazy users sometimes forget to remove from their AI-generated pabulum. But a ...
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