Dogs packs also do persistence hunting by having the animal pass back and forth. As long as the prey is forced to travel further than any individual dog it works fine.
In the wider context there are other examples of cross species hunting with octopus and fish for example. https://www.smithsonianmag.com/smart-news/watch-octopuses-te... So, completely wild wolves doing something similar with humans seems extremely plausible.
Abstraction is only useful when it involves a consistent mapping between A and B, LLM’s don’t provide that.
In most contexts you can abstract the earth as a sphere and it works fine ex:aligning solar panels etc. Until you enter the realm of precision where treating the earth as a sphere utterly fails. There’s no realistic set of tests you can right where an unsupervised LLM’s output can be trusted to generate a complex system which works if it’s constantly being recreated. Actual compilers don’t have that issue.
What things are more important than the study of meanings in a linguistic context?
Well semantics only covers an infinitesimal fraction of all meaning. Consider if I inject arsenic into a snakes venom sac is it now a venom? Nothing about your answer changes anything about what’s going on, yet you could still debate the question.
So when you say “what could be more important” I can only say that just about everything is more important.
I would like to have the opportunity to consider a decentralized consensus algorithm that could accommodate nation state adversaries regularly. Not simply something cryptographically secure and distributed but something which can retroactively route around nodes who are temporarily bad due to external circumstances.
Google etc may be a US based company, but they can leverage emerging markets just fine.
There’s a stronger argument to be made for small caps, but stock buybacks allow any company’s stock to effectively experience exponential growth even with flat earnings. IE there’s little long term difference between buying back 2% a stock every year and ~2% actual growth every year assuming you never hold the majority of shares. (as in 1/0.98 ~= 1.02)
You can buy "into a market" by investing in a ETF following the MSCI EM or SP500. In any case not sure what's your point about single stock companies in a discussion about market indexes.
> You can buy "into a market" by investing in a ETF following the MSCI EM or SP500.
Nope. A more accurate description is saying you’re buying into a specific subset of a Market by buying shares of specific companies. Hand waving them as if they are the same thing doesn’t actually make them the same thing.
The MSCI EM, SP500, etc etc are simply a collection of public companies not the market of a given country. Which is why index funds all behave in fundamentally different ways than the actual markets we’re talking about.
Now if you do want more exposure to the upsides of a growing economy there are options, it’s just not a simple as buying an index fund.
This thread is about indexes and it started by a user stating that emerging markets indexes have been in line or outpaced global and even most of the advanced economies ones.
What these indexes are and how they behave is definitely on topic. Some of the indexes we can point to have in the past seen outsized returns, but many haven’t especially over specific timeframes. Currency fluctuations play a huge role, as does perception of risk etc.
Your previous statement about why in general they would have an advantage was inaccurate. As you have seemingly realized.
The 80’s anti fat diet was mostly clogged arteries before we had all these anti cholesterol drugs and research showing how little impact dietary cholesterol has.
US obesity simply wasn’t as common (15% in 1985 vs 40% today) and at the time most research is on even healthier populations because it takes place even earlier. Further many people that recently became obese didn’t have enough time for the health impact to hit and the increase of 2% between 1965 and 1985 just didn’t seem that important. Thus calories alone were less vilified.
Put another way when 15% of the population is obese a large fraction of them recently became obese (last 10 years), where at 40% the obese population tends to be both heavier and have been obese for much longer. Heath impacts of obesity depend both on levels of obesity and how long people were obese.
The government and medical groups were advocating lower fat diets for CVD reasons, but among the mainstream it took hold overwhelmingly because it was seen as a mechanism for weight reduction or management. A gram of fat has twice the calories of a gram of protein or carbs, and this was widely repeated (yes, I was alive then). Similarly, if being fat was bad (and yes, it was viewed as very bad), then fat as a component of food must similarly be bad.
Obesity was obviously far less common, but concern about weight -- and note that weight standards were much, much tighter (see the women in virtually any 1980s movie, which today would be consider anorexic) -- was endemic culturally. Snackwells weren't being sold to middle age men, they were being sold overwhelmingly to younger office women paranoid about their weight, and it wasn't because they were concerned about their arteries. Low fat products overwhelmingly targeted weight loss, including such ad campaigns as the "special k pinch".
"Thus calories alone were less vilified."
I'm sorry, but this is simply ahistorical. Calories were *EVERYTHING* among a large portion of the population. What is your knowledge on the 1980s from, because it certainly isn't based upon observable reality.
In the 1980s, being slightly overweight made you the joke (like literally the joke, as seen from Chunk in the Goonies, and many parallels in other programs). As calories became cheaper and people's waists started bulging, it was an easy paranoia to exploit.
Sure, that’s a reasonable take, but satiety research was also far less developed.
The general understanding at the time was basically a full stomach tells people they have eaten enough. We didn’t understand the multiple systems the body uses to adjust the hunger drive and how much a high carb low fat diet messes with them.
> I'm sorry, but this is simply nonsensical. Calories were EVERYTHING among a large portion of the population. What is your knowledge on the 1980s from, because it certainly isn't based upon observable reality.
Less vilified is on a relative scale, I was alive back then and there was plenty of nonsensical low calorie diets being promoted. However you also saw crap like the Fruitarian Diet where unlimited fruit meant people could actually gain weight on a diet that also gave them multiple nutritional deficiencies.
Low fat dieting is in part from that same mindset as fruitarian diet where it’s not the calories that are the issue but the types of food you were eating. Digging just a little deeper these ideas made more sense before global supply chains and highly processed foods showed up. Culture can be a lot slower to adapt than technology or economics, diet advice from your grandparents could be wildly out of date. Cutting X means something very different when you have 20 available foods vs 20,000.
Job losses aren’t directly tied to productivity, in the short term it’s all about expectations. Many companies are laying people off and then trying to get staff back when it doesn’t work. How much of this is hype and how much is sustained is difficult to determine right now.
It never made sense to blame AI in the first place for tech layoffs. You have a new tool that you think can supercharge your employees, make them ~10x productive, be leveraged to disrupt all sorts of industries, and have the workforce best suited to learn and use these tools to their full potential. You think the value of labor may soon collapse, but there are piles of money to be made before that happens.
If you truly believed that, you would be spinning up new projects and offshoots as this is a serious arms race with a ton of potential upside (not just in developing AI, but in leveraging it to build things cheaper). Allegedly every dollar you spent on an engineer is potentially worth 10x(?) what it was a couple years ago. Meaning your profit per engineer could soar, but tech companies decided they don't want more profit? AI is mostly solved and the value of labor has already collapsed? Or AI is a nice band-aid to prop up a smaller group of engineers while we weather the current economic/political environment and most CXO's don't believe there are piles of money to be had by leveraging AI now or the near future.
> you would be spinning up new projects and offshoots
If the engineers can 10x their output, this actually exposes the product leadership since I find it unlikely that they can 10x the number of revenue generating projects or 10x their product spec development.
I’ve had this same thought, although less well-articulated:
AI is supposedly going to obviate the need for white collar workers, and the best all the CEOs can come up with is the exact current status quo minus the white collar workers?
> Allegedly every dollar you spent on an engineer is potentially worth 10x(?) what it was a couple years ago. Meaning your profit per engineer could soar, but tech companies decided they don't want more profit?
Exactly, so many of these claims are complete nonsense. I'm supposed to believe that boards/investors would be fine with companies doing massive layoffs to maintain flat/minuscule growth, when they could keep or expand their current staffing and massively expand their market share and profits with all this increased productivity?
It's ridiculous. If this stuff had truly increased productivity at the levels claimed we would see firms pouring money into technical staff to capitalize on this newfound leverage.
In the wider context there are other examples of cross species hunting with octopus and fish for example. https://www.smithsonianmag.com/smart-news/watch-octopuses-te... So, completely wild wolves doing something similar with humans seems extremely plausible.
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