Ars Technica

Researchers show that training on “junk data” can lead to LLM “brain rot”

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...
Hosted on MSN

Anthropic study reveals it's actually even easier to poison LLM training data than first thought

Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a recent blog post, Anthropic explains that as few as "250 malicious ...
TweakTown

Researchers discover if 0.001% of AI training data misinformation the AI becomes corrupted

A new paper published in the scientific journal Nature Medicine looked at the underpinning technology powering AI tools, which are called Large Language Models (LLMs). The team found that if an LLM ...
PC Gamer

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

Don't sleep on this study. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us as a preferred source on Google Claude-creator Anthropic has ...
Futurism

If Even 0.001 Percent of an AI’s Training Data Is Misinformation, the Whole Thing Becomes Compromised, Scientists Find

It’s no secret that large language models (LLMs) like the ones that power popular chatbots like ChatGPT are surprisingly fallible. Even the most advanced ones still have a nagging tendency to contort ...
Wired

Anthropic Will Use Claude Chats for Training Data. Here’s How to Opt Out

Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. Anthropic is prepared to repurpose ...

More Sites Blocking LLM Crawling – Could That Backfire On GEO?

New data finds AI assistant crawlers increased site coverage even as companies sharply reduced access for AI model training bots.
Digi Times

AI poisoning: Anthropic study finds just 250 malicious files can compromise the largest LLMs

Contrary to long-held beliefs that attacking or contaminating large language models (LLMs) requires enormous volumes of malicious data, new research from AI startup Anthropic, conducted in ...