I realized that AIs will need to keep us around much like we keep around an old DOS box running a specific program. There are so many analogue outputs in the real world that they still will not be able to take in as well as humans can.
I ate Kiwis for years before someone told me most people DO NOT eat the skins. I looked at my bag of kiwis, and the even the damn monkey mascot was holding a spoon...mocking me...
Also eating skins turns kiwis from a fruit you have to spend time to preprocess (halve + grab spoon) to an immediate snack.
This may sound insignificant to many but for the extremely lazy like me, this is the difference between going to waste and being consumed for many fruits.
> Also eating skins turns kiwis from a fruit you have to spend time to preprocess (halve + grab spoon) to an immediate snack.
Both of your comments sound foreign to me. In my experience, kiwis are eaten with the fingers, including the skin, but they are prepared by slicing. The form you eat is a collection of circular discs, cross sections of the original fruit.
You can just break them into two roughly equal halves and use your teeth to scoop out the flesh. No need for either a knife, a spoon or any kind of preprocessing. I've been eating them that way for decades.
Well, thank you for editing your post to not ask me if I only like microwave dinners.
I guess maybe it's a cultural thing - I've never seen anyone ever make mash potatoes with skins inside, and mash is a dinner staple here(in fact both here in the UK and Poland where I'm originally from).
When I wash kiwis I rub the hairs off, and then cut them into thick slices, leaving the skin on. Trying to skin or eat them with a spoon is just a pain, and I don’t find the skin unpleasant.
I’ve seen a lot of people also just wash/rub the hairs off and bite straight into them, though I find this can make a mess if they are too soft.
Don’t worry, my kids eat the skin too. I guess we forgot to tell them not to and they didn’t find it unpleasant. I tried a bite for my own edification and I did not find it pleasant.
That said, I usually eat peanuts with the shell and all. Though don’t eat too many that way, the shells are definitely not getting digested, so chew well. Also there is probably a higher chance of dirt or other stuff you don’t want to eat being on the shell, but I don’t usually eat peanuts anyway so never been a problem for me.
Kiwi fuzz irritates my throat, so I rub a lot of the fuz off, and then use a straight bladed knife to "shave" the rest off. The skin gives a tart contrast to the fruit center. I'm sure there's lots of valuable nutrients in the skin too
The golden ones (as opposed the green variety that are more common in the US) are significantly tastier (at least, universally shared opinion among everyone I forced to try them) and have basically no fuzz/hair.
I'd like to see the the cited source for that statement.. I've always eaten the skins of kiwi fruit. its offers a nice tangy counterpoint to the sweet flesh. Eating it without the skin just sounds boring.
In the US, Business' are treated like people with free speech rights. If it would be cheaper for them in the long run to use ai and robots instead of humans, they will figure out a way to make it so.
I don't know if he's right, but Peter Zeihan thinks the breakdown in globalization will negatively affect the ability to continue to improve the chips that AI depends on[0]. Too many steps in the supply chain, too widespread, too vulnerable to deglobalization.
An invasion of Taiwan would definitely slow progress but it wouldn’t stop it.
We already have sufficient hardware that algorithmic (software) improvements alone should get us to GPT 7 / Greek Reference 6 even if not a single new chip is delivered to an AI data center ever again, starting today.
Maybe, maybe not. It's not unreasonable that these systems cap out at some point, or perhaps fizzle away entirely.
The businesses that create these systems are not profitable and run at a massive historical and go-forward loss.
New data centers required to operate these systems are facing increasing pushback at local levels. New construction is not guaranteed. Energy and power grid constraints exist as well.
Government regulation is way behind. What happens when (if) mass layoffs due to AI occur? How does the population react? Theoretically AI can be regulated out of significant progress, or outright existence for many purposes. At the end of the day, US and other prominent governments make the calls, not corporations.
Lots of goddamn awesome computers fizzled out. The Amiga being a prime example. Besides you can't just wave your arms in the most vague terms and then deny that survivor bias was ever a thing.
So your argument is that AI is more lika Amiga than computers? I'd say that Amiga wouldn't fizzle out if it wasn't superceded by pc. It very well may be that transformer architecture is going to be superceded by something like jepa or other world models but it doesn't change much.
Survivor bias is always a thing but it's not everything. All surviving things are not equal and neither are all gone things. If there are such things. Some cls technology never dies. There are new games written for 8-bit Atari today.
These inventions all stopped disrupting the world and just became a part of it. The question is whether LLMs are going to just take their quiet place, or profoundly change (or eliminate) humanity in a self-feeding frenzy towards singularity.
Peeling the center fins of the heatsink (takes a few hours of patience with needle nose pliers/medical forceps) and zip-tieing a Arctic P12 Pro (or any other 120mm high static pressure fan) to it works pretty well. Note that you should probably take the heatsink off while doing this to prevent metal shards from shorting out your board (removing the heatsink might necessitate redoing the thermal pads/putty).
Assuming you had a 1:1 scale, what would be the difference between you taking a camera of an environment and measuring everything the same way vs. it being generated artificially in a 3d space?
Wouldn't the inputs be more or less the same wrt training a model with the synthetic data vs live video and the data captured there?
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