Top engineering grads are excellent and are being paid high wages. Work culture is cut-throat, but talent is comparable to the US.
India's target universities (IITs, IIITs & NITs) produce ~40k new software-engineers every year. Historically, average graduates of these universities end up in FANG jobs after their masters. If not immediately, then within a few years.
We're not talking about the 1 million sub-par engineering grads produced by India every year, most of whom will end up at infosys, TCS or sadly, BPOs. Big-tech only cares about the top 50k.
This the primary group that American new-grads are competing with. Around 20k new Indians get an H1b every-year as part of an OPT (Masters) to H1b transition. For every 1 of them in the US, there is at least 1 back home of the same caliber.
Not quite. Chinese rivers are fed by the eastern tibetan plateau while South Asia is fed by the western glaciers by the tallest mountains.
Bangladesh would be at risk because the Bramhaphtra sees upstream fresh water use by China. But China's use of Bramhaputra water is mostly energy related, not for drinking water or irrigation.
If decreasing population trends continue then this problem will solve itself.
The world will become unevenly greener. Population density and recent population rise is inversely correlated with places that will get greener.
Polar and Continental regions will get greener at the expense of the tropical and equatorial regions.
Mass migration is the inevitable conclusion of uneven impacts of climate change. Ie. In 2026, Political climate and physical climate are moving in mutually incompatible directions.
Not sure if 'aware' is the right word. More like anxious.
Kidnappings and murders are exceedingly rare, even more so by strangers. Abuse primarily occurs at home, with acquaintances and at places of education. Moving a child from free form play to structured classes is moving risk around, but isn't reducing it.
When there is a big community of kids, there's safety in numbers. Highly supervised play reduces the kids involved, and takes away safety in numbers in exchange for constant vigilance.
An aware person would see the numbers and Calibrate risk accordingly. There is risk involved in everything and helicopter parenting has done little to reduce it.
Unlikely. He was killed in the foyer [1] of his building in an exceedingly safe city (Brookline, MA).
In a neighborhood with mixed SFHs and condos, it makes little sense to target a condo. Makes even less sense for someone to break in, but to shoot the victim outside, in the foyer.
Yea even in the US where there's a rather lot of home invasions (~million/yr), even amongst the ones where the occupier is injured-or-worse (~250k/yr), very very few of them are fatal (<500/yr).
Other possibility; a disgruntled investor who poured millions into dead-end fusion research and now wishes they had invested in AI research instead? Blames the professor for persuading them to invest in fusion.
There are no material conditions that would convince me to live in a cold, dark and culturally introverted place. Anecdotally, my tropical peers agree with this opinion. Seasonal affective disorder plays an outsized role in my ability to like a place. On the flip side, I've heard many people describe living in warm & humid weather as torture.
My point is, aggregating factors for happiness to find the best country is like aggregating people's favorite colors to find the best color. Each individual's needs and circumstances are unique, and what will make them happy will vary widely as those needs and circumstances vary.
Some interesting (suspect?) findings from the quoted 2023 paper: (2008 - 2017 data)
* Somaliland had the 4th least worries
* Russians were the 7th least angry
* Chinese were the 8th best rested
* Icelanders did great on every metric, but felt very tired (rank 190)
* Venezuelans smiled the 12th most (Panama, Paraguay, Costa Rica did even better)
* Laotians smile the 3rd most, but are also among the angriest (202) !!?
> Laotians smile the 3rd most, but are also among the angriest
From "Be Careful Where You Smile: Culture Shapes Judgments of Intelligence and Honesty of Smiling Individuals"
Although numerous studies confirm that positive perceptions of smiling
individuals seem to be universal, anecdotal evidence suggests that in some
cultures the opposite may be true. For example, a well-known Russian proverb
says ‘Улыбкa, бeз пpичины - пpизнaк дypaчины’ (smiling with no reason is a
sign of stupidity). The Norwegian government humorously explains nuances of
Norwegian culture by indicating that when a stranger on the street smiles at
Norwegians, they may assume that the stranger is insane
I grew up in a very warm place, then moved to a very cold place and was miserable. I’d never done a winter and every year I was deeply unhappy for huge spans of the year.
But then I moved to Denmark from that cold place and found myself very happy! Of course circumstances change and a single account means little but I definitely believe some societies lend themselves to greater happiness than others, even in the very developed world.
> This means that they should never be used in medicine, for evaluation in school or college, for law enforcement, for tax assessment, or a myriad of other similar cases.
If AI models can deliver measurably better accuracy than doctors, clearer evaluations than professors and fairer prosecutions than courts, then it should be adopted. Waymo has already shown a measurable decrease in loss of life by eliminating humans from driving.
I believe, technically, moderns LLMs are sufficiently advanced to meaningfully disrupt the aforementioned professions as Waymo has done for taxis. Waymo's success relies on 2 non-llm factors that we've yet to see for other professions. First is exhaustive collection and labelling of in-domain high quality data. Second is the destruction of the pro-human regulatory lobby (thanks to work done by Uber in the Zirp era that came before).
To me, an AI winter isn't a concern, because AI is not the bottleneck. It is regulatory opposition and sourcing human experts who will train their own replacements. Both are significantly harder to get around for high-status white collar work. The great-AI-replacement may still fail, but it won't be because of the limitations of LLMs.
> My advice: unwind as much exposure as possible you might have to a forthcoming AI bubble crash.
Hedging when you have much at stake is always a good idea. Bubble or no bubble.
Much like the Hyperloop before it, the core assumption of the Boring company is ill-conceived. Tunnel boring isn't a bottleneck.
The costs of surveys, hvac, seismic research and maintenance required to keep a deep-underground tunnel going are much higher than cut-and-cover. So, even if tunnel boring was free, it still wouldn't make sense to prefer it over other options. There are very scenarios where deep-tunneling makes sense (dense cities, across rivers when bridges are infeasible), but they're the minority.
In most transit projects, cut-and-over is blocked not because it's a bad technical option. It's because NIMBYs refuse to permit on-the-ground disruptions or noise of any type. San Jose is the canonical example. It's a political problem, not a technical one.
I checked them for a few nations where I had solid on-the-ground knowledge, and the ranks and full-profile descriptions are straight up false. Usually propaganda involves lying by omission or hyperbole. In this case, it is just wrong.
It is a little bit wild that 3/5 all came from the same country. Without the partition of ‘47 - India would have by far the largest group of about 600M a full a third of the global Muslims and also at the same time be only a minority in that hypothetical country with 1.1B Hindus
Top engineering grads are excellent and are being paid high wages. Work culture is cut-throat, but talent is comparable to the US.
India's target universities (IITs, IIITs & NITs) produce ~40k new software-engineers every year. Historically, average graduates of these universities end up in FANG jobs after their masters. If not immediately, then within a few years.
We're not talking about the 1 million sub-par engineering grads produced by India every year, most of whom will end up at infosys, TCS or sadly, BPOs. Big-tech only cares about the top 50k.
This the primary group that American new-grads are competing with. Around 20k new Indians get an H1b every-year as part of an OPT (Masters) to H1b transition. For every 1 of them in the US, there is at least 1 back home of the same caliber.
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