Thank you. For as much as this post comes up, I hope people are at least getting an education.

For a deep dive

When ya upload a file to a Claude project, it just keeps it handy, so it can reference it whenever. I like to walk through a kind of study session chat once I upload something, with Claude making note rundowns in its code window. If it’s a book or paper I’m going to need to go back to a lot, I have Claude write custom instructions for itself using those notes. That way it only has to refer to the source text for specific stuff. It works surprisingly well most of the time.

Better yet, have your LLM of choice read the book first.

Switched to Perplexity a year ago, but I occasionally still go to Google just from muscle memory. Google’s aggressively unhelpful now - it’s kinda insane.

Just looking at the mental space of the three fanboy types… Mac seems the chilliest to hang with.

e: lol, case in point

I understand this perspective, because the text, image, audio, and video generators all default to the most generic solution. I challenge you to explore past the surface with the simple goal of examining something you enjoy from new angles. All of the interesting work in generative AI is being done at the edges of the models’ semantic spaces. Avoid getting stuck in workflows. Try new ones regularly and compare their efficacies. I’m constantly finding use cases that I end up putting to practical use - sometimes immediately, sometimes six months later when the need arises.

I just meant I work for a corporation. I produce videos for marketing, been doing it for 25 years.

What tasks are you thinking about?

It saves me 10-20 hours of work every week as a corpo video producer, and I use that time to experiment with AI - which has allowed our small team to produce work that would be completely outside our resources otherwise. Without a single additional breakthrough, we’d be finding novel ways to be productive with the current form of generative AI for decades. I understand the desire to temper expectations, and I agree that companies and providers are not handling this well at all. But the tech is already solid. It’s just being misused more often than it’s being wielded well.

Don’t blame CEO tomfoolery on generative AI. Generative AI is amazing.

That’s for its own benefit. It has to talk through it (or alternatively code through it) to work out the answer. S’just showing its work.

Perplexity

Picard learns to play the flute.