snooggums

Oh, it will let us do the thing we already do if we take the time to learn common behaviors and actually pay attention?

Oh good, at least they spoke to someone who knows what they are talking about.

“But AI often generates made-up responses that please the user rather than being anchored in objective reality. This could be a disaster if applied to pets’ welfare,” said Birch, whose input to the Animal Welfare (Sentience) Act led to it being expanded to include cephalopod mollusks and decapod crustaceans.

Birch points to separation anxiety: dog owners often want reassurance that their pet is not suffering when left alone for long periods. Futuristic “translation” apps based on large language models could promise to provide that reassurance, but end up causing harm by telling owners what they want to hear rather than what the animal actually needs.

Yes. If you don’t have adequate containment then strawberries can absolutely be a weed.

A delicious weed, but still a weed.

If you are happy with the plants being where they are then they aren’t weeds. The main problem is companies that sell plant killing chemicals and services treat the word ‘weed’ as if it had a universal meaning.

Oh boy, they are going to get so many bad Glassdoor reviews.

Or more likely they weren’t actually being lazy, they knew they needed to leave room for swelling and healing. The surgeons that did tight stitches thought theirs was better because it looked better immediately after the surgery.

Surgeons are actually pretty well known for being arrogant, and claiming anyone who doesn’t do their neat and tight stitching is lazy is completely on brand for people like that.

Brazil shuts BYD factory site over ‘slavery’ conditions

From 2016 and still true today:

Chinese Government Subsidies Play Major Part In Electric Car Maker BYD’s Rise

Yeah, subsidies and other benefits from governments exist but China is going all in.

Perfection!

Things that are inspiration or for approximations. Layout examples, possible correlations between data sets that need coincidence to be filtered out, estimating time lines, and basically anything that is close enough for a human to take the output and then do something with it.

For example, if you put in a list of ingredients it can spit out recipes that may or may not be what you want, but it can be an inspiration. Taking the output and cooking without any review and consideration would be risky.

Sometimes it is a bunch of Indian guys pretending to be AI!

Bit chat

Bitch at

Being Jack Dorsey, I’m going with the latter.

No search engine or AI will be great with vague descriptions of niche subjects because by definition niche subjects are too uncommon to have a common pattern of ‘close enough’.

• narrowing down keywords for an unfamiliar topic
• getting a quick intro to an unfamiliar topic
• looking up facts you’re having trouble remembering (i.e. you’ll know it when you see it)

I used to be able to use Google and other search engines to do these things before they went to shit in the pursuit of AI integration.

LLMs are like a multitool, they can do lots of easy things mostly fine as long as it is not complicated and doesn’t need to be exactly right. But they are being promoted as a whole toolkit as if they are able to be used to do the same work as effectively as a hammer, power drill, table saw, vise, and wrench.

Yeah, morons who believe anything wealthy people say. Just like Musk.

Trump has always been a petty shithead loser. He was mocked back in the 80s for being creepy around women, running failed businesses, and not paying his contractors.

I don’t think Musk or Trump have any charisma, but apparently a lot of people see (inherited) wealth as charisma.

Data centers have become a major economic development battleground for many states, even though they provide relatively few jobs and consume massive amounts of resources.

Business welfare state!

This means, too, that Tesla hasn’t hit the milestone Musk promised back in January, when he told investors that the company would launch “unsupervised full self-driving as a paid service in Austin in June … no one in the car.”

Back in 2015 he claimed fully autonomous driving would be available in 3 years (by 2018) and since then it was always a year or two away. Why does anyone believe anything he says?

“From a technology standpoint, Tesla will have a car that can do full autonomy in about three years, maybe a bit sooner.”

https://en.m.wikipedia.org/wiki/List_of_predictions_for_autonomous_Tesla_vehicles_by_Elon_Musk

Since CPU speeds are still doubling every 18 months you have a solid point!

Or maybe not since you are probably referring to the doubling of transistors that was an observation which was accurate over a lengthy period of time in the context of when the observation was made. Nobody said that would continue indefinitely either.

“Guess I’ll just drive off the road then!”