ignirtoq

I would honestly like to see a cut of just about any TV show or movie that uses stunt doubles where the doubles do both the lines and the action. I would like to see how different a director would shoot a scene if they weren’t constrained to choosing angles and lighting to make it look like two different people were the same person.

At least it was better than Indiana Jones and the Kingdom of the Crystal Skull.

Happening in my neighborhood, and today is trash pickup day for my street. Not sure what we’re going to do with our trash, but I 100% support the strike. Every job deserves a living wage, no exceptions.

I don’t follow Mexican politics closely, but this could be part of an effort to curb obesity. I’ve heard they introduced taxes on sugary drinks for this, so this might be another avenue.

If people are wanting cheap snacks, and private companies are only making unhealthy ones, you can introduce regulations to micromanage what they can produce, or you can introduce a complex taxation process to disincentivize sugar snacks. Or you can introduce your own product that meets a perceived unmet demand in an underserved market.

Part of the reason that this jailbreak worked is that the Windows keys, a mix of Home, Pro, and Enterprise keys, had been trained into the model, Figueroa told The Register.

Isn’t that the whole point? They’re using prompting tricks to tease out the training data. This has been done several times with copyrighted written works. That’s the only reasonable way ChatGPT could produce valid Windows keys. What would be the alternative? ChatGPT somehow reverse engineered the algorithm for generating valid Windows product keys?

The thing is it’s been like that forever. Good products made by small- to medium-sized businesses have always attracted buyouts where the new owner basically converts the good reputation of the original into money through cutting corners, laying off critical workers, and other strategies that slowly (or quickly) make the product worse. Eventually the formerly good product gets bad enough there’s space in the market for an entrepreneur to introduce a new good product, and the cycle repeats.

I think what’s different now is, since this has gone on unabated for 70+ years, economic inequality means the people with good ideas for products can’t afford to become entrepreneurs anymore. The market openings are there, but the people that made everything so bad now have all the money. So the cycle is broken not by good products staying good, but by bad products having no replacements.

The technological progress LLMs represent has come to completion. They’re a technological dead end. They have no practical application because of hallucinations, and hallucinations are baked into the very core of how they work. Any further progress will come from experts learning from the successes and failures of LLMs, abandoning them, and building entirely new AI systems.

AI as a general field is not a dread end, and it will continue to improve. But we’re nowhere near the AGI that tech CEOs are promising LLMs are so close to.