Then try reading my reply without assuming snark i guess? 🤷‍♂️

No one’s talking about cost of breathing and chips and camera costs and shit, but we do need to make a fair comparison.

Sometimes you need to have patience and not build up straw men in your head tho’.

The reasoning is simple, if you add the cost of producing something to the cost of using it, then training an llm is equivalent to producing a movie, and llm inference is equivalent to watching said movie.

It’s an analogy, not a metaphor.

But then, to be fair, the Netflix consumption should also include the cost of shooting the movies b/c otherwise what would we even watch?

LosslessCut is great, I use it mostly for cutting videos without having to re-encode, but it apparently has some reasonable merging features as well (by opening a new folder and combining the output files)

github.com/mifi/lossles...

"A surgeon isn't a manager, they do the actual work! But their skills and time are highly leveraged with a support team that handles prep, secondary tasks, admin. The surgeon focuses on the important stuff they are uniquely good at."

"I have a decent fluency in LLMs, and they have utility, but the absurd degree of over-hype, the way they're being forced on everyone, and the insistence on ignoring the many valid critiques about them make it very difficult to focus on legitimate uses where they might add value."

Svelte didn’t catch on as much as React, while being nicer imo.