Tag: Marc Tessier-Lavigne
Leveraging the Design Inference for Effectively Falsifying Data
The academy raises generation after generation of inept data falsifiers who embrace the foolish naiveté that their shenanigans are immune to discovery.
Truth and Trust in Large Language Models
How much truth is ChatGPT or Gemini giving us? How much can we trust their answers to queries? As we’ll see, LLMs can lay no claim to truth.
For a Change, Science Writers Think Critically About Science
They can be quite interesting when they allow themselves to play around with ideas a bit.