What would the cost of the “next machine” be? Is it going to be tens of billions or can we make progress with lesser money. If it is going to be tens of billions, then maybe we need to invest in engineering to reduce this cost, because it’s not sustainable to suspend thirty years, tens of billions for every incremental improvement.
This kind of slow, incremental improvement that costs tens of billions of dollars and takes decades gave us the microchips that ultimately enabled you to type this comment on your phone/computer. The return on that investment is obvious.
But it is not just about making money: The entire field of radiation therapy for cancer exists and continues to improve because people figured out ways to control particle beams with extreme precision and in a much more economical way to study particle physics. Heck, commercial MRIs exist and continue to improve because physicists want cheaper, stronger magnets so they can build more powerful colliders. What if in the future you could do advanced screening quickly and without hassle at your GP's office instead of having to wait for an appointment (and possibly pay lots of money) at an imaging specialist center? And if they find something they could immediately nuke it without cutting you open? We're talking about the ultimate possibility of Star Trek level medbays here.
Let the physicists build the damn thing however they want and future society will be better off for sure. God knows what else they will figure out along the way, but it will definitely be better for the world than sinking another trillion dollars on wars in the middle east.
Jack Kilby at Texas Instruments and Robert Noyce at Fairchild did not require tens of billions of dollars. Sherman Fairchild invested 1.3 million and the treacherous eight each put in $500. Fairchild did have the right to purchase the firm for $3 million, which of course he exercised. Similarly, Shockley's lab was funded by a $1 million grant in the 50s.
There is a lot of handwaving going on here to justify the incredibly cheap, mostly privately funded investments that launched the computer generation with the massively expensive, extremely gradual gains we are making now with particle accelerators. Part of it is that people just can't imagine how little was invested in R&D to get these stunning results, given how much we have to invest today to get much less impressive results, so they just assume that semiconductors could not have been invented without tens of billion dollars of research.
There is diminishing returns, just as a 90nm process is really all you need to get 90% of the benefits of computerization -- you can drive industrial automation just fine, all the military applications are fine, etc. But to go from a 90nm process to a 3nm process is an exponential increase in costs. In a lot of fields we are at that tail end where costs are incredibly high and gains are very low, and new fields will need to be discovered where there is low hanging fruit, and those fields will not require "tens of billions" of dollars to get that low hanging fruit.
Even with particle accelerators, SLAC cost $100 million to build and generated a massive bounty of discoveries, dwarfing the discoveries made at CERN.
To pretend that there is no such thing as a curve of diminishing returns, and to say that things have always been this way is to not paint an accurate picture of how science works. New fields are discovered, discoveries come quickly and cheaply, the field matures and discoveries become incremental and exponentially more expensive. That's how it works. For someone who is in a field on the tail end of that process, it's not good history to say "things have always been this way and have always cost this much".
Duh. The first cyclotron was built for, like, a 1000 bucks. Many of the following colliders were also ridiculously cheap by comparison. But in the same way the semiconductor industry now spend billions on EUV research to keep making progress, particle physics spends billions on colliders. But when you account for real GDP growth, collider costs have actually been stagnating for decades.
Why can't some of these trillion dollar companies invest back in the quantum tech that got them there, if it's so certain there will be benefits? Why not Apple and Nvidia fund the next particle collider, and give something back to society instead of letting tax payers fund it so billionaires can privatize the profits?
Fundamental physics research has an extremely profitable returns ratio, but it takes decades to amortize. This does not work with capitalist corporations who only care about immediate profits. Even for governments this is a difficult sell, but at least they don't have to soothe shareholders every quarter. Generational projects take a different kind of economic thinking.
Is that just because there's shareholder anxiety with the unknown on if their investment will "be vested" by the time they need to pull it out for retirement?
If that's the case it seems like it might be shrewd for younger investors to buy into physics research on a 15-20 year timeline?
> Why not Apple and Nvidia fund the next particle collider, and give something back to society instead of letting tax payers fund it so billionaires can privatize the profits?
Where do you think that tax money comes from?
Apple and Nvidia are creating the economies that produce tax revenue at every step of the way.
I believe the point was these companies benefited greatly and specifically from basic research funded by the government: they should therefore "give back" in kind (vs simply contributing to the tax base and relying on a government to figure out what to fund). The reality is these companies care only about shareholder value, and the current US administration has been terminating grants and cutting funding in basic research. I think it's fair to question, in this environment, what these companies' ethical responsibilities really should be.
I think your starting premise is obviously false and where are you getting that billionaires are privatizing the profits from the particle collider (sounds like a talking point). No one can guarantee that there are benefits - we can surmise that there are but there are still massive risks associated with large form science experiments.
Government has always been the backbone of basic science research - no one else can reasonably bear the risk and the advances are public domain.
> This kind of slow, incremental improvement that costs tens of billions of dollars and takes decades gave us the microchips that ultimately enabled you to type this comment on your phone/computer.
No. These two cases are absurdly different, and you're even completely misunderstanding (or misrepresenting) the meaning of the "tens of billions of dollars" figure.
Microchips were an incremental improvement where the individual increments yielded utility far greater than the investment.
For particle physics, the problem is that the costs have exploded with the size of facilities to reach higher energies (the "tens of billions of dollars" is for one of them) but the results in scientific knowledge (let alone technological advances) have NOT. The early accelerators cost millions or tens of millions and revolutionized our undestanding of the universe. The latest ones cost billions and have confirmed a few things we already thought to be true.
> Let the physicists build the damn thing and future society will be better off for sure.
>Microchips were an incremental improvement where the individual increments yielded utility far greater than the investment.
You should look up how modern EUV lithography was commercialised. This was essentially a big plasma physics puzzle. If ASML hadn't taken on a ridiculous gamble (financially on the same order of magnitude as a new collider, esp. for a single colpany) with the research, Moore's law would have died long ago and the entire tech industry would be affected. And there was zero proof that this was going to work beforehand.
High vacuum in enormous volumes maybe. Otherwise it was certainly a problem solved decades ago.
Not sure what role of EUV optics was in LHC. But Zeiss would develop you anything on the frontier of optics if you have deep enough pockets.
The rest I don't know enough to comment on, but as far as technology goes both LHC and EUV lithography are bespoke systems. Seriously doubt there is any path dependency. Huge part of LHC cost were earthworks and precision construction of complex machinery at enormous scale.
EUV uses mirrors rather than lenses, and the precision surfaces on those are something that more likely came out of space programs. But honestly, I have no problem with throwing a few billion at basic science that might go nowhere. It's a drop in the ocean compared to war and corporate welfare.
Engineers not being able to fathom that by building this huge-ass and complicated machines to answer questions about the fundamentals of nature, other problems are solved or new things are invented that improve and change our life will never not be funny to me
This is a pretty common mistake - why not invest directly in trying to solve those problems instead of hoping to learn something by chance from different activities?
Just as funny as armchair science enthusiasts not being able to fathom that research budgets are limited and it makes sense to redirect them into other, more promising fields when a particular avenue of research is both extremely expensive and has shown diminishing returns for decades.
Real scientists don’t call others armchair scientists, it’s just belittling. Do you resort to ad hominem because you feel like your argument is not strong enough, so you have to try to attack the person as well?
There is no way to answer that - we have limited money/people/time. Whatever we fund - we will get whatever the returns are - but there is no way to know what we don't have because we didn't fund some other thing. Even if in a few years we fund that other thing - what we get out of those funds is influenced by the other things we already know and so whatever we get out of it also shows the results of the other research that we already have.
The only exception is if some research reveals nothing. Though this isn't a useful claim: "it doesn't work" still revealed something.
Given that you can do a lot more research in different fields at the same time for the amount of money the next bigger particle accellerator would cost, the answer is very likely yes.
Ok, which field? How much money will be needed? What potential experiments are lined up in those fields that need money to go forward?
Particle physics has told us a lot about the base nature of our model and the affirmation of the standard model. The fruits of these labors still take decades to make their mark on our world.
And, we still are working on those other things at the same time too. It turns out with 8 billion people on the planet and modern technology we can get an absolute fuckload done at once.
The more important question is, are you content with simply dismantling any progress in accelerator science at all for the next century? Because the LHCs successors won't be online till the 2050s at least. If you don't fund them now though and start the work, then no one does the work, no one studies the previous work (because there's no more grant money in it) and the next generation of accelerator engineers and physcists doesn't get trained and the knowledge and skill base withers and literally dies.
Because the trade off of no new accelerators is the definite end of accelerator science for several generations.
You might say that the statement you were replying to also needs some backing, but they did give some, although you believe it was incorrect.
It just seems that "absolutely not" goes against the conventional wisdom that knowledge for knowledge sake will lead to some greater return than was expended on getting that knowledge somewhere down the road which really is one of the main underlying ideas of Western Civilization since before Newton.
Absolutely not means future society will not be better off! That seems to be a big weird absurdly pompous and conceited statement to make unless you have a time machine, or at least a big mess of statistics that can show that scientific advances in physics for a significant amount of time has failed to provide a return value on existence, although I would think that does not rise to the promise of "absolutely not".
> The latest ones cost billions and have confirmed a few things we already thought to be true.
Yes, but we had hopes that it would lead to more. And had lead to more, something only known to be false in hindsight, who knows where that would have ended us up? What if it upended the standard model instead of reinforcing it?
> Absolutely not.
What are we supposed to do then? As humans, I mean. No one knows why we're here, what the universe really is like. We have some pretty good models that we know are wrong and we don't know what wonders the theoretical implications of any successor models might bring. That said, do we really need to motivate fundamental research into the nature of reality with a promise of technology?
I'm not arguing for mindlessly building bigger accelerators, and I don't think anyone is - there has to exist a solid line of reasoning to warrant the effort. And we might find that there are smarter ways of getting there for less effort - great! But if there isn't, discrediting the venue of particle accelerators due to their high upfront cost as well as historical results would be a mistake. We can afford it, and we don't know the future.
>I'm not arguing for mindlessly building bigger accelerators, and I don't think anyone is
But you are and they are. Just by the comments here its clear that even suggesting not to use untold billions on maybe pushing theoretical physics a little forward is meet with scorn. The value proposition either, in knowledge or technology, is just not well argued anymore besides hand waving.
No, I'm not and neither is anyone else. It's common sense that we should explore options that require less effort, just as one would in any project. I'm saying that we can't discredit huge particle accelerators due to, in the grandest scheme of things, a small economic cost and past results of a different experiment.
> Yes, but we had hopes that it would lead to more. And had lead to more, something only known to be false in hindsight, who knows where that would have ended us up? What if it upended the standard model instead of reinforcing it?
Sure, but it didn't. Which is knowledge that really should factor into the decision to build the next, bigger one.
> What are we supposed to do then? As humans, I mean.
Invest the money and effort elsewhere, for now. There are many other fields of scientific exploration that are very likely to yield greater return (in knowledge and utility) for less. You could fund a hundred smaller but still substantial intiatives instead of one big accelerator. And be virtually guaranteed to have an exciting breakthrough in a few of them.
And who knows, maybe a breakthrough in material science or high-voltage electrophysics will substantially reduce the costs for a bigger particle accelerator?
> Which is knowledge that really should factor into the decision to build the next, bigger one.
It was always factored in, and of course it would be in any next iteration.
> Invest the money and effort elsewhere, for now. There are many other fields of scientific exploration that are very likely to yield greater return (in knowledge and utility) for less. You could fund a hundred smaller but still substantial intiatives instead of one big accelerator. And be virtually guaranteed to have an exciting breakthrough in a few of them.
I agree with this to a large extent. I'm just not against particle accelerators as a venue for scientific advancement and in the best of worlds we could do both.
>> Yes, but we had hopes that it would lead to more. And had lead to more, something only known to be false in hindsight, who knows where that would have ended us up? What if it upended the standard model instead of reinforcing it?
>Sure, but it didn't. Which is knowledge that really should factor into the decision to build the next, bigger one.
Not this week, no. And if, next week (or next year or next decade) we resolve some of the most significant problems in modern physics, any expenditures in those fields were a waste?
You've repeatedly bashed particle physics based on your perception of a lack of progress vis-a-vis the costs, and claimed that other fields should be prioritized. Which fields? What would you hope to gain from those fields?
Is there no room for basic research that attempts to validate the bases (Standard Model, Quantum Field Theory, the marriage of the former with General Relativity, etc.) of modern physics? If not why not? Our models are definitely wrong, but they're measurably less wrong than previous models.
Should we not continue to hone/probe those models to find the cracks in the theories underpinning those models? If we don't, how will we solve these extant issues?
I'd not be so sure about that. Doing this research will probably allow us to answer "it works but we don't know exactly why" cases in things we use everyday (i.e. li-ion batteries). Plus, while the machines are getting bigger, the understood tech is getting smaller as the laws of physics allows.
If we are going to insist on "Absolutely not" path, we should start with proof-of-work crypto farms and AI datacenters which consume county or state equivalents of electricity and water resources for low quality slop.
That "probably" is really more of a "maybe" given the experience with the current big accelerators, and really needs to be weighed against the extreme costs - and other, more promising avenues of research.
> If we are going to insist on "Absolutely not" path, we should start with proof-of-work crypto farms and AI datacenters which consume county or state equivalents of electricity and water resources for low quality slop.
Who exactly is the "we" that is able to make this decision? The allocation of research budgets is completely unrelated to the funding of AI datacenters or crypto farms. There is no organization on this planet that controls both.
And if you're gonna propose that the whole of human efforts should somehow be organized differently so that these things can be prioritized against each other properly, then I'm afraid that is a much, MUCH harder problem than any fundamental physics.
>> Let the physicists build the damn thing and future society will be better off for sure.
> Absolutely not.
And what do YOU mean, "absolutely not"? You have no more say in what happens than anyone else unless you're high level politician, who would still be beholden to their constituents anyway.
And yet big science, like particle accelerators, STILL gets funding. There's plenty to go around. Sure, every once in a while a political imperative will "pull the plug" on something deemed wasteful or too expensive and maybe sometimes that's right. But we STILL have particle physics, we STILL send out pure science space missions, there are STILL mathematicians and theorists who are paid for their whole careers to study subject matter that has no remotely practical applications.
Not everything must have a straight-line monetary ROI.
I'm torn between "yes, these experinets are way too expensive and the knowlage is too niche to be really usefull" and "We said this about A LOT and we found utility in surprising ways so it could be a gamble worth taking"
That's the problem with cutting edge reaserch....you don't even know if you will ever needed it or if a trilion dollar industry is waiting for just a number to be born
Yes, we don't really know. But at some point the gamble is just too big.
Because the costs aren't just numbers. They represent hundreds or thousands of person-years of effort. You're proposing that a large number of people should spend their entire lives supporting this (either directly as scientists, or indirectly through funding it) - and maybe end up with nothing to show for it.
And there's the opportunity costs. You could fund hundreds of smaller, yet still substantial scientific efforts in many different fields for the cost of just one particle accelerator of the size we think is sufficient to yield some new observations.
I'm so sick of this "good guy approach". It didn't give us progress, it gave us those like Watt and Intel, highly celebrated bullshiters who stopped being relevant as soon as their IP deadlock expired.
I suppose the only solution is undeground science. Do enough progress in silence, dont disseminare the results, unless the superiority becomes so obvious that an armed resistance becomes unthinkable.
Spending tens of billions every thirty years is pretty sustainable actually.
"Fundamental Research" may or may not pan out, but the things that happen along the way are often valuable... I don't think there's any practical applications related to generating Higgs Bosons, but it's interesting (at least for particle physicists) and there's a bunch of practical stuff you have to figure out to confirm them.
That practical work can often generate or motivate industrial progress that's generally useful. For example, LHC generates tons of data and advances the state of the art in data processing, transmission, and storage; that's useful even if you don't care about the particle work.
You could say the same thing about the world wars or porn. Any human pursuit taken to an extreme can produce knock-on effects, that isn't an argument in a vacuum to continue to fund any one area.
In the scope of international cooperation, tens of billions of dollars is not very much money. For context, the U.S. economy generates $10 billion every ~3 hours. One private company, Google, spends $10 billion in about 2 weeks.
So look at it this way. Let’s take a bunch of the smartest people alive, train them for decades, give them a month of Google money, and they’ll spend 30 years advancing engineering to probe the very fabric of reality. And everything they learn will be shared with the rest of humanity for free.
Takes like this are an optical illusion meant to create the idea that there is an insane amount of money freely floating around that is just being hoarded.
But just like that money is generated, it's also all spent.
So the actual hard part is deciding what not to spend money on so we can build some crazy physics machines with a blurry ROI instead.
> Let’s take a bunch of the smartest people alive, train them for decades, give them a month of Google money
Unpopular opinion: Google makes an insane amount of money, so they can afford this salary. The CERN (or whatever your favourite research institute is), on the other hand, is no money-printing machine.
Every step towards understanding subatomic physics is a step towards cold fusion. The second we're able to understand and capture this energy, money literally doesn't exist. Infinite energy means infinite free energy, which would also abolish money from a fundamental market value perspective. I'll continually preach that we need to plan for this economically as a species because none of our current government or economic systems will survive the death of scarcity.
Unless cold fusion allows everyone to literally pull infinite energy out of thin air with no maintenance or labor costs, I don't buy that premise. Many other utilities are effectively free already in some places, but you still need metering to deter bad actors, which is what money is. Otherwise I'm going to take all available cold fusion capacity in existence and use it to build my own artificial sun with my face on it.
> Every step towards understanding subatomic physics is a step towards cold fusion.
Is it?
You are assuming cold fusion is possible. We don't know that. It might be one more step before we finally prove it is never possible.
You are also assuming that cold fusion is something this path of research will lead us to. However this might be a misstep that isn't helpful at all because it doesn't prove anything useful about the as yet unknown physical process that cold fusion needs.
We just don't know, and cannot know at this point.
My point is that you shouldn't believe in marketing claims that are obviously too good to be true, like
> The second we're able to understand and capture this [cold fusion] energy, money literally doesn't exist. Infinite energy means infinite free energy, which would also abolish money from a fundamental market value perspective.
I mean obviously this statement is false as we live in a finite section of the visible universe.
This said beyond the marketing there is a reality that if cold fusion did show up that there is a singularity event that occurs that making predictions past that point will almost always fail as the world would change very rapidly.
There are people in this thread saying tens of billions isn't that much in the long term (I'd agree) but there's a bigger point that comes into play whatever the price: The universe doesn't care if exploring it is expensive. You can't make a "that's not sustainable" argument to the universe and have it meet you half way. And that's who you're arguing against: not the scientists, the universe. The scientists don't decide how expensive future discoveries will be.
I think that engineering progress made while building those machines are maybe more relevant for practical technical development than the discovery they make.
The problem isn't the cheaper MRI. The problem is the expert that needs to interpret the results. Detecting millions of cancers that don't actually exist doesn't help anybody.
This is a problem domain AI is good at. Have AIs do first-pass, then when they flag something an actual doctor reviews it. Then if they concur it goes to your doctor, who knows you, who can review it.
There are talks of a Muon collider, also there's a spallation source being built in Sweden(?) and also of an electron 'Higgs factory' (and while the LHC was built for the Higgs boson it is not a great source for it - it is built as a generic tool that could produce and see the Higgs)
At some level, this is a problem of unmotivated students and college mostly being just for signaling as opposed to real education.
If the sole purpose of college is to rank students, and funnel them to high prestige jobs that have no use for what they actually learn in college then what the students are doing is rational.
If however the student is actually there to learn, he knows that using ChatGPT accomplishes nothing. In fact all this proves is that most students in most colleges are not there to learn. Which begs the question why are they even going to college? Maybe this institution is outdated. Surely there is a cheaper and more time efficient way to ranking students for companies.
It starts at admissions where learning is not a rewarded activity. You should be making impact in the community, doing some performative task that isn't useful for anything except making you different to your class mates who naively read the books and do the classwork honestly.
I don't think it's the admissions office's fault. This is one of the lessons I will have to impose on my future kids once they get to high school age. Being, like, really really good at school is cool and all but if what you have is a 4.25 GPA, fifteen AP classes all with 5's, a 35 on your ACT, a school sport and chess club or whatever I'm very smart extra curricular then you're competing with the other thousand identical applications. You're likely to stand out and be interesting with literally anything else, even if it makes you look less good at school.
The world you occupy at that age makes it seem like being good at school is the formula to looking impressive meanwhile once you leave the bubble and enter adult world you realize that making an angsty punk band with your friends and playing at shitty dives sounds way more impressive than got an A in chemistry.
College is wildly useful for motivated students: the ones who go out of their way to pursue opportunities uniquely available to them like serving as TAs, doing undergrad research, rising up the ranks in clubs and organizations, etc. They graduate not just with a credential but social capital. And it's that social capital that shields you from ChatGPT.
College for the "consumer" student isn't worth much in comparison.
It's not for "signaling," and it's not for "high prestige" jobs.
It's for jobs, period. Because a) as the world grows more complex, more and more jobs genuinely require higher education, and at the same time b) with the near-total disappearance of training by employers, they expect job seekers to come into every job with all the skills needed, and with the decline in labor power (as compared to the late 20th century), there's very little meaningful resistance to that.
> At some level, this is a problem of unmotivated students and college mostly being just for signaling as opposed to real education.
I think this is mostly accurate. Schools have been able to say "We will test your memory on 3 specific Shakespeares, samples from Houghton Mifflin Harcourt, etc" - the students who were able to perform on these with some creative dance, violin, piano or cello thrown in had very good chances at a scholarship from an elite college.
This has been working extremely well except now you have AI agents that can do the same at a fraction of the cost.
There will be a lot of arguments, handwringing and excuse making as students go through the flywheel already in motion with the current approach.
However, my bet is it's going to be apparent that this approach no longer works for a large population. It never really did but there were inefficiencies in the market that kept this game going for a while. For one, college has become extremely expensive. Second, globalization has made it pretty hard for someone paying tuition in the U.S. to compete against someone getting a similar education in Asia when they get paid the same salary. Big companies have been able to enjoy this arbitrage for a long time.
> Maybe this institution is outdated. Surely there is a cheaper and more time efficient way to ranking students for companies
Now that everyone has access to labor cheaper than the cheapest English speaking country in the world, humanity will be forced to adapt, forcing us to rethink what has seemed to work in the past
As a college instructor, one issue I find fascinating is the idea that I'm supposed to care strongly about this.
I do not. This is your problem, companies. Now, I am aware that I have to give out grades and so I walk through the motions of doing this to the extent expected. But my goal is to instruct and teach all students to the best of my abilities to try to get them all to be as educated/useful to society as possible. Sure, you can have my little assessment at the end if you like, but I work for the students, not for the companies.
I didn't suggest you should care about company selection processes.
But I would have been pretty angry to have been educated in topics that did not turn out to be useful in industry. I deliberately selected courses that I figured would be the most useful in my career.
If I could go back in time and change what courses I took for my CS degree, it would be the exact opposite.
I wish I'd gone more into theoretical computer science, quantum computing, cryptography, and in general just hard math and proofs.
I took a few such courses and some things have genuinely been useful to know about at work but were also mind-expanding new concepts. I would never ever have picked up those on the job.
Not to say the practical stuff hasn't been useful too (it has) but I feel confident I could pick up a new language easily anytime. Not so sure about formal proofs.
Right, but that is the thing I pay attention to. Again, I want to hear from former students that I did right by them, not current companies asking for free screening.
As someone who interviews students for internships and grad programs I mostly agree, however I think you should listen to the best, hardest working students to hear if they're getting picked OK. I suspect the students with the best jobs are the ones who do the minimum classwork and spend their time doing leetcode and applying for jobs - I would think that is sub optimal for everyone including yourself.
We’ve had crazy covid years where every new grad was making 250k+, and now every 3-6 months we have layoffs which has not surprisingly been paired with blaming it on offshoring, H1b etc. Clearly the current system can’t withstand much of a shock, what’s going to happen if we get a full 2007 style recession, will the blame game go even higher on steroids, some times it feels like it’s quite bad already. I don’t look forward to that.
I think and I know HN commentators are going to hate this, but Thiel was right when he wrote that the current system only works with fast continuous growth. Ideally multiple growing sectors, contributing to the economy. Anything else, and everyone immediately starts fighting for scraps joining their tribal identity or whatnot. The only way out, would be more rapid growth in multiple sectors, not just AI, or a complete breakdown of the existing system which does not leave me hopeful for anything better. I in fact like the existing system quite a bit, but maybe that’s just me.
I’m surprised, so it seems like most tariffs are falling towards zero on all products except agriculture and cars below 17,000$ in the coming few years.
Especially cars, India has had insane tariffs on luxury cars and motorcycles that will disappear, which is interesting. On the face this seems like a good deal for India as India can probably export much more than EU can to India except for a few sectors like Automobiles and Chips, but who knows, I assume EU officials seem to think the gains in a few high tech sectors are enough to offset the cheap goods on all other sectors.
All automotive goods in India below the $17,800 pricepoint are essentially "Made in India", not China, and in a lot of cases exported abroad under Renault, Suzuki, Toyota, Hyundai, and Mitsubishi badges or directly sold by Mahindra (especially South America and South Africa) or Tata.
Chinese manufacturers got hounded out and as a result the PRC tried [0] and failed [1] to weaponize the WTO against India [0] for India trying to subsidize GreenTech driven industrialization.
Chinese manufacturers are allowed to enter India, but on terms similar to what the PRC used when Western, Japanese, and Korean players began entering the Chinese market - something which German policymakers even pointed out [2].
If you position an automotive product in India to be affordable, you lose aspirational consumers (India1).
Toyota is trying to position itself as a luxury brand in India in order to better defend revenue, as in NAM and JP the Toyota brand has a similar reputation as Maruti Suzuki does in India.
It's all about German car makers wanting to sell more cars. The recent Mercosur deal was also about it. Of course, no one will buy them anyway since they are too expensive and low quality and Chinese cars are more accessible anyway.
I get the same feeling. German car manufacturers had most of their growth in the past two or so decades from the Chinese market. But now they lost the EV race and CHinese customers prefer Chinese EVs to German ones(Porsche alone lost 99% operating profits!), so they are desperate to offload those cars to new markets any way they can, even at the expense of poor trade deals that might damage other sectors of the EU economy long term.
It's not a coincidence that EU suddenly signs trade deals left and right with the utmost urgency, see the recent Mercosur deal. The coffers are going dry and they need to bring in every euro they can no matter the future societal cost.
I'm happy to be proven wrong, but personally I'm skeptical these trade deals will lead to an increase in purchasing power and QoL for the average EU working class citizen in many countries, who've seen a stagnation or even decrease in the last decade or so.
The high tariffs on imported luxury cars never made much sense from the revenue point of view.
Our bureaucracy and governments has finally learnt how to do a Pareto analysis and learnt the difference between high volume/low margin vs low volume/high margins.
I’ve never felt useful in any of the big tech companies I’ve worked at. It always feels pointless. Is it just the projects I’ve been assigned never being worth anything or whether it is my perspective on those projects, I have no idea
lol, this post makes me feel like crying at my job in BigTech co. He’s complaining about a 30 min feedback loop maybe, mine is 2+ hours.
I write a piece of code, however small the change. Then run the proc, first it takes ~20 mins to compile. Then since it is ML, it can only run on a remote server. It takes an easy 20 more minutes to start running in the remote server. Then after another 40 minutes I can confirm the job failed. The only way to debug is to read through a massive log file, for which we have an in built log reader lol. The log file will have thousands of errors that literally don’t matter, and you’ll never have enough context to know which errors don’t matter. You can simply ping someone and ask, does this error matter, could this be the reason my entire proc failed, oh no this is just a useless log that fails all the time, I shouldn’t have been wasting a day digging into this, ok thanks bye.
But this isn’t it, not even close lol, we in fact have a custom DSL to define computational graphs, which of course does not have any linter, or even any compiler and a very broken visualizer but our entire org runs on this. Syntax errors, logic errors, actual race conditions are all caught the exact same way —- as the process dying after trying to run on a remote server for 2+ hours with no useful error log. So our workflow is to just get a cup of coffee and stare at the graph which can get thousands and thousands of lines big to find at times completely trivial bugs that any half decent language would have caught as a syntax error.
My exp in BigTechCo makes me completely understand GitHub actions, my guess is many big companies have equally janky tools that harm dev productivity but still somehow take absolutely massive workloads. GitHub just thought of sharing it to the public.
Can a browser expert please go through the code the agent wrote (skim it), and let us know how it is. Is it comparable to ladybird, or Servo, can it ever reach that capability soon?
I'm interested in this too. I was expecting just a chromium reskin, but it does seem to be at least something more than that. https://news.ycombinator.com/item?id=46625189 claims it uses Taffy for CSS layout but the docs also claim "Taffy for flex/grid, native for tables/block/inline"
TLDR; the code is not a valid POC but throw-away level quality that could never support a functioning web engine. It's actually very clear hallucinated AI BS, which is what you get when you don't have a human expert in the loop.
I actually like using AI, but only to save me the typing.
Did you even read the article. Yes, he had 1 sentence on ICE, which maybe you disagree with its politics. But most of the article was with technical issues in github as a platform and its neglect of non AI features. Please take your low quality comment to X.
Finally, I can’t believe I have to say it, but a creator of an open source project is free to infuse it with whatever values he wants, no one hates on SQLite, no need to hate someone for adding his brand of politics / values to his passion project. Please go create your own “non woke” language if you hate it so much.
I’ve liked living in Delhi recently, much less congested than Bengaluru that gnaws on my soul with its insane traffic. The only reasonable way to live in India is to live away from the main streets, ideally in a gated community which is a bikeable distance from work.
reply