Anthropic reveals that as few as '250 malicious documents' are all it takes to poison an LLM's training data, regardless of model size

Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a ...

Evaluating the evaluators: How do plant virus genome analysis tools stack up?

Different teams need to make the same conclusion multiple times before a consensus is reached and the finding can be built ...

10 things I wish I knew before trusting Claude Code to build my iPhone app

Vibe coding sounds effortless, until it isn't. Building a full iPhone app with Claude Code showed me why baby steps, backups, and testing matter.
ABC News

USDA says SNAP benefits won't be issued on Nov. 1

A notice on top of its website says "the well has run dry." The Department of Agriculture has posted a notice on its website warning that Supplemental Nutrition Assistance Program (SNAP) benefits ...

Stop using ChatGPT for everything: I use these AI models for research, coding, and more (and which I avoid)

Obsessing over model version matters less than workflow.
Hackaday

It Only Takes A Handful Of Samples To Poison Any Size LLM, Anthropic Finds

It stands to reason that if you have access to an LLM’s training data, you can influence what’s coming out the other end of ...