Anything that wasn't action, drama, or comedy was largely dropped and almost all of the science was quick summary explanations.

Alsup ruled that the scanning was format shifting and thus 'fair use'. Alsup ruled that their usage of downloaded works for training was 'fair use'. But Anthropic kept copies of downloaded works 'as a library' - including works they didn't use for the model training. Alsup ruled that that was not fair use. Alsup also said he would not delay the trial while Anthropic appealed (which is something that usually happens), hence why Anthropic settled.

There has long been copyright exemptions for 'fair use' - in particular 'transformative' applications where the end result doesn't resemble the source material. Essentially the fair use exemption for 'transformative' exactly matches this sort of scenario and should be a slam dunk win for the model creators.

It reduces neural inhibition. Normally the body limits strength to far from its maximum because maximum output has a high risk of injury (torn tendons, muscle tears), but the body can override the protection in emergencies (the annecdotes about mothers lifting cars, etc.)

Not sure what you are smoking, but the human brain is nowhere close to optimal. Just changing substrate would allow many orders of magnitude improvement. Biological brains depend on diffusion gradients, active transport pumps, and relatively large physical systems, and have to be incredibly redundant and robust to extreme noise. Also the vast majority of the brain isn't dedicated to intelligence.

Probably 10 order of magnitude improvements are available overall at a minimum.

It isn't replacing radiologists because it doesn't matter how much better than the radiologist the IA is, the radiologists control what the requirements are, and they will always ensure that a human radiologist has to do the 'final review'.

They could always trying pricing it less than real hamburger. It is priced like a luxury good, of course demand will be limited.

The watches are measuring 'heart rate variability' (HRV) not just 'heart rate'. And HRV is an superb measurement of physiological stress/training stress. The stress relevant for making decisions about workout intensity and recovery.

I always suspected that smoking was being used to do this in the past. I actually experimented with inhaling incense fumes (10 years ago?) to get a similar effect but abandoned it since I didn't have equipment to reasonable track progress and it was just a side interest.

I'm curious if they had backups or if they were able to corrupt and destroy the backups too.

A company whose primary product is search, added search to its chat bot, - obviously they must have copied! It isn't possible that it is an utterly obvious idea and had nothing to do with Perplexity.

No, the artists rerecord because the label tends to own the master recording copyright which screws the artist out of royalties. By rerecording they can do licensing for films, tv, and commercials that completely bypass the label.

Of course now labels are putting in contractual language to forbid them doing rerecordings.

> Take all studies like this with a grain of salt. A doctor doesn't diagnose a patient by reading a case study. They do it by talking to the patient, examining them, deciding what tests to order, etc. This is a contrived comparison that has little connection to how doctors actually work.

LLM's can do DDX's based on getting the primary complaint and asking follow up questions. It will then provide what tests to order etc. While it can't do a physical exam, they are better than doctors at all other aspects.

It has gone from reasonable amount of ads to utterly insane (especially for iPhone users).

It is now much easier to lose stars and harder and longer to get them back. They want to force users to subscriptions and are being obnoxious about it.

The point of the absurdly large model is to distill the logits to smaller models. Overparameterization makes it much easier to learn the underlying function. Once the underlying function is learned, a drastically smaller model can learn the output distribution (teacher student distillation).