I don't think its too misleading because in both cases that's how many vehicles are affected at very moment by the recall.
Toyota shipped/sold more as mentioned in the article, but those are unaffected. Likewise with the Tesla, any shipped afterward the defect was discovered are unaffected.
They look great. https://flowiseai.com/ does something similar for building AI apps specifically. Less workflow centric but worth checking out regardless.
They didn't do a good job of "gathering" then. Real AI researchers don't have time to keep reading blogs. They should have announced it first and foremost on arXiv or inside the GPT API documentation if they wanted real researchers.
Are they even a real researcher, if an AI agent hasn't scavenged the Internet for relevant events and planned the trip. Check, maybe your virtual AI persona is attending it.
A problem with fine tuning based on organization data is that if the underlying data changes, you'd need to fine-tune the model again each change. This might be okay for one-off changes (such as the name of the model in the example) but if it costs $300 each time (not to mention the time spent) and you have 100s/1,000s of changes per month, it's not really viable.
I just tried this and the UI is very nice (better than dreamstudio), with nice tool integration, and image quality is definitely going up with each new release. You can see a few results at fb.com/onlyrolydog (along with a lot of other canine nonsense).
I recently found this list of models that works with llama.cpp: https://rentry.org/nur779 (with dl links, albeit given llama's licensing gray area, use at your own risk)
The latest so far would be Vicuna, whose weights were just recently release.
Very entertaining to watch and explains things so even non players can understand the sheer absurdity of some of the attempts.