Both of them give off "influencer" vibes. They're meaningless without more context. We used to just call people "experts", but now that's an arbitrarily bad word.
For example, Nouriel Roubini calling out the risks of the 2008 Recession before it happened, Michael Pettis calling out the risks of a real estate balance sheet crisis in China before Evergrande happened, and Arvind Subramanian calling out the risks of a a shadow bank crisis in India before the ILFS collapse in 2018.
For AI/ML, I'd tend to trust Emily Bender, given her background in NLP which itself was what became LLMs originated from.
Bubbles are a lot easier to visualise from the outside.
The employment numbers, the inflation numbers, government austerity, the gpt-5 disappointment... the valuations are all more like meme stocks and not based on reality.
If enough articles about the crash start appearing, and enough people believe the crash is coming, the congratulations: the crash will occur.