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In a test, popular AI chatbots mostly debunked falsehoods spread by other countries and avoided uncritically spreading falsehoods better than search engines. AI summaries above search results fared worse.
We haven't written up this one. NPR has the full story — the link below goes straight to it.
Machine learning is usually evaluated after an evidence interface has been fixed. A dataset, sensor suite, query language, action set, or experimental protocol determines which observations can be…
A Japanese version of this is on Note . An increasing number of engineers and creators are running local LLMs (via Ollama, LM Studio, vLLM) and generating images with Gradio / Stable Diffusion…
I spent 3 months perfecting prompts. Then I deleted half of them. In late 2023 I had a directory called prompts/ with 47 carefully tuned templates.
Sustained scientific work requires a knowledge substrate that carries interpretation across tasks and preserves paths to source evidence.
Across industries, machine-learning systems support applications ranging from prediction and anomaly detection to forecasting, optimization, and scheduling, yet operationalizing these systems requires…
This paper introduces a hybrid fact-checking framework that integrates Knowledge Graph-based semantic memory with adversarial multi-agent reasoning for explainable misinformation detection.