skysight-inc/HackerNews huggingface dataset:
I wonder how feasible it would
be to place a data center in somewhere like Arizona or Nevada and just run it during daytime hours on a massive solar array and then pause the work for the night time. That would probably take a few decades less than trying to permit and build a nuclear plant next to it
I dont think they do, i have not had a phantom break since 12.x came out.
Yeah, I'm a man working a low paying job that I enjoy. Almost everyone I know seems to look down on me for it. 'When will you get a real job', 'when will you start your career?'
> This whole movement of simply increasing compute or throwing in more data to hopefully attain AI results is just a dead end.

There's no way for you or for anyone else to know that it's a dead end.

Also, it's not "simply throwing more compute" - the algorithms have evolved too and they'll continue to.

Also also, it's not "hopefully attain AI results" - we have AI results now and they keep getting better.

People are spending resources on a trajectory which has worked well - we've been cranking up the compute and better results keep coming out, why stop now?
Afaik, state schools have lost a lot of budget from states (in inflation-adjusted terms) compared to pre-90s.

Consequently, they balance the books by taking on more foreign/out-of-state students (who they can charge much more).

At the core, though, it appears to be a supply and demand problem: there's a ton of demand for people who want to go to college, colleges don't have the resources (or interest?) to expand supply, and so they raise prices because they can.
Woohoo! I think the fix for iOS audiobooks that I helped (well asked enough questions that someone else then fixed quickly) bring into the world! https://blog.rayberger.org/fixing-jellyfin-ios-audiobook-str...
The user that created that video is known to have preference for Tesla (based on Twitter posts and their YouTube channel is all about Tesla), the video may be biased.

The Consumer Reports comparison at the beginning of the video is Mercedes "Driver Assistance" vs Tesla "Autopilot". These are technologies for lane assistance, speed limit assistance, etc. "Advanced cruise control" is a better term for these. This video does not compare these.

Mercedes self driving system is called "Drive Pilot". Tesla's is called "FSD" (Full Self Driving)

This video compares FSD to Drive Assist, these are two different types of technologies.
That doesn't make a difference here, because it cuts both ways. Someone who gave up on a lucrative career in order to pursue their dream job might retroactively rationalize their decision as the best one, but also, someone who gave up on their dream job in order to make more money might also retroactively rationalize their decision as the best one.

In the meantime, there's nothing inherently wrong about choosing to make less money in order to have a job that doesn't make you miserable. Or to put it a different way: there's nothing inherently virtuous about minimizing your happiness in order to maximize your wealth.
Quora was already ruined by low quality posts and so-called experts. Not everything is caused by AI.
Given that population has increased and arguably(?) gotten more intelligent since Neuman's day (and for all the deserved respect he gets, I'm more of a Feynman fan myself so there were a few brainiacs back then), you'd have to assume there are a few people on his level walking around today, and I wonder what they're up to. Is creating a more addictive website for a FAANG company or a better high-speed trading algorithm for a Fintech what they see as a good calling? The smartest person I knew in high school (and I went to a rather high end one) who easily was the valedictorian, basically only wanted to play the trumpet (which he was also superlatively good at). I don't really know what became of him.
.. or https://hylang.org/
Is this outlet legit?
If your goal is gender equality, though, it needs to be equal, and we should encourage fathers to take the full time off as well. Otherwise, from an employer's perspective, women are ultimately lower-value employees, because they have an additional pool of time off they can utilize, while men do not.

Balancing that out gives one less reason to favor one gender over the other when it comes to hiring and assigning a salary.
Yes, they probably dont need to. But if you have your configs to share data with Tesla, and you have an intervention while on FSD, that small few seconds of video gets uploaded to them. That is the important data.
CoT works because it’s an instruction the LLM has encountered in its instruction-tuning (and, to a smaller extend, in its original training data). You could fine tune a base model to respond to every question by first outlining steps (sub prompts, if you will). Not useful for a general purpose chat model. But useful for some types of tasks.
That's sort of my unsaid point - we've made it politically infeasible to build much of anything in the United States. You can see it in everything from a local planning meeting when someone tries to build a fence or house all the way up to transmission lines and power plants. The process itself kills a huge amount of progress by making it a bad use of lifespan to pursue it.
From Google to No-Code
Ah, thanks for the explanation. They key thing I didn't realize is that it'd only be 3km!
Well wait a sec, you’d be just as guilty of confident bullshit if your claims above don’t pan out, and they didn’t even come from an LLM so it’s worse.
I mean, this sounds really wise and all, but it would have sounded equally wise 3 years ago and yet someone making predictions based on this reasoning would have utterly failed to predict Dall-E, ChatGPT or Whisper.
One must consider the concept of "diminishing returns" eventually.

Has Generative AI Already Peaked? - Computerphile (https://www.youtube.com/watch?v=dDUC-LqVrPU)
They can. But do they? Comma can collect from any vehicle, regardless of type.

There's also a matter of deduplication where they really don't need to use ~250 days a year of the same commute. They probably have more data than others, but I'm asking for a proper confirmation of this common knowledge.
I don't get this perspective. Somehow humans drive with visual input
Uhh no, it’s called good engineering versus over-ambitious marketing. Systems are designed for specific operational design domains and they are expected not to work outside of the ODD. The key thing is that the operator needs to understand what the ODD is and whether they’re inside or outside of it. Mercedes has a very clear ODD with very clear guarantees inside of it. Tesla does not have any established ODD nor any guaranteed performance inside of it.

Mercedes is incrementally improving a system the exact way you’re supposed to engineer such a system. It is not an abuse of the SAE Levels framework, it is exactly why the levels are what they are! It is Tesla that is pulling off stunts.
I did use jextract for java 19+20, but it looked very messy.

Tried it again yesterday on java 22, and the helpers from jextract are waaaay better. I actually completed a MVP implementation this time in a couple of hours. This could perhaps be released as library if I find the effort to wrap it in a meaningful way!

We currently wrap this in java by calling the binary with subprocesses, which has been working great at some latency overhead. The big bonus of this though, is that we can kill the process from java when it misbehaves. Putting this C code inside Java again, means we likely lose that control.
I’m not sure I’ve ever fully understood Five Nights games. I just thought it’s something kids like for no good reason, like Hello Neighbour, which feels like an incomplete Garry’s Mod level.
Well either way, with all the articles about Mercedes having the first Lwhatever self driving system, you would think it's actually better than the FSD.
Nice cherry picking, I occasionally see a (ridiculously oversized) Chevrolet (Corvettes I think) on the road here in Britain and the build quality is utter shite, not to mention how fugly they are but I suppose that is subjective.

How many McLaren, Ferrari, Lamborghini, Porsche, etc equivalents does America produce? Beyond most of those examples there is good reason “German Engineering” is an oft-repeated phrase. See, I can cherry pick too (Europe also produce Fiats, lol, “fix it again tomorrow”).

EDIT: and tbh I don’t even agree with your cherry picked example either, every Tesla I’ve been in has had terrible build quality and been a horrible ride.
Deep Learning Inference on Heterogeneous Mobile Processors: Potentials Pitfalls
The Making of Futurama Was a Shit Show (Part 1) [video]
It's disingenuous to make this kind of claim without stating what version you are using.
It’s hard to tell but looks like a lot of those interventions were just him accidentally taking it out because he was keeping his hands off. And because of his bias and comfort with FSD would let the Tesla get away with more.
Kernel.org Transparency Log Monitor
Tesla promised to make your own car a robotaxi, which is very different from stringently controlled Waymo cars. Tesla has to deal with customers doing stupid shit with their cars.
That will also be true for any laptop that is not bottom of the barrel and got taken care of correctly by its owner.
I have non techies' friends using Windows laptops who greatly outlived any Mac laptop because of software support anyway, and as long as they are content with the performance they still work just fine.

The MacBook's lasting longer is just a meme at this point, any laptop of comparable price/performance will last just as long if you don't trash for some reason.
Moores law is the inverse
Yes, this is the beginning and ending of the conversation.

If Tesla (or any other manufacturer) actually has faith in their implementation, they will accept legal liability for its actions.

Contrapositively, if Tesla (or any other manufacturer) do not accept legal liability for the actions of their autopilot, then they don't have faith in its implementation.

Everything else is irrelevant snake-oil marketing fluff. Put your money where your mouth is.
It's basically same everywhere in the world - except some places don't mind nuclear, coal, or natural gas.

Few places have enough elevation and water for hydro (and don't mind submerging loads of land to make it happen).

For almost all countries - experts (engineers and scientists) have been warning grid and production will not be enough, and politicians kept focusing on shorter term wins of votes.
I was blown away recently by the sophistication of Tesla self-driving when I visited the bay area.. the one mistake it made was missing the correct path within SFO to drop me off at the correct terminal... that was a surprising mistake and I didn't have time to see if it would circle around and get it right this second time
No twist of fate, but self-sabotage in the form of being unwilling to use Lidar. Look how hard Waymo and Cruise are finding it to do robotaxis in a small geographical area and with Lidar. Tesla is trying to do robotaxis everywhere without using Lidar. They're solving a harder problem and are handicapping themselves while trying to do it.

Here's why Lidar makes sense. You want independent information streams that are cross checked. If both streams tells you there is no object in front of you, that's a way lower probability of being wrong than just one stream telling you that. You go from probability p to p^2 of being catastrophically wrong. It's the kind of probabilistic added safety of being in an aircraft that's capable of flying with only one engine. Even if one blows up with probability p, you're fine. You need a p^2 event for both engines to malfunction, assuming errors aren't correlated, which they probably are a bit, but not so much that the added benefit isn't massive.
I agree that they're misusing the word "concentric". However, I'd be very surprised if they truly overlooked the grooves being continuous spirals, as that would be extremely meaningful. Accepting your citation of Petrie, I'm actually surprised that the grooves were spirals, as that implies a cutter which makes significant progress in a single rotation, which seems unlikely in any stone, let alone granite.
The car sees as well as the driver does. Is that good enough for all circumstances? No, clearly not. But refusing to drive in situations that are unsafe for people too sounds like a feature, not a bug.

I mean, let's be blunt: the "LIDAR vs. cameras" debate has been settled at this point, and the fancy sensors lots. Of all the things one can complain about with FSD, sensor fidelity is not one. Teslas don't hit things. The problems remaining to be solved are in the planning regime: my car still misses turns at a rate somewhat higher than I do, usually because it's in the wrong lane (and that often because it thought that the backup in the turn lane was something it could go around).
> A chrome extension for finding citations in Wikipedia

In academia, Wikepedia citations are generally a no no. One reason is their unrelaibity (the author is citing a source that they themselves can edit). More importantly, Wikepedia may be a good place to find primary sources, but in itself it is a secondary source.
What options are closed to men?
One example is people supporting terrorism; it shocks me that some people who claim to be feminists can support such an unthinkingly misogynistic group as Hamas. Of course, some genuinely care about the Palestinian people and don't approve of Hamas, but a shocking number seem to have not considered the issue at all. I want to be clear that Israel has problems and I'm not saying that they are perfect; it is a very complex issue but many are unable to see it with nuance. The group "Queers for Palestine" is farcical in its support of a state which would eradicate it without a thought.

Another is the unquestioning faith in trans ideology, which has been laid bare in the recent Cass review in the UK. Again, few are able to see the nuance that gender transition is absolutely helpful to a small number of people, but that the treatment has been unethical in some (not all) cases. I support trans people in general, and definitely want them to be treated with respect, but that doesn't mean that every autistic child who believes they are trans should go through irreversible treatments. Nicola Sturgeon (former first minister of Scotland, and a university graduate) fell from political grace after taking the stance that a male rapist should be allowed to be sent to a women-only prison, which she didn't even realise would be unpopular.

---

By "grounding" I mean that people should have an understanding of what has been discovered and postulated before them, so that they can form ideas of their own. If everyone starts from square one, they have to discover so much for themselves that they will rarely make any significant progress. Indoctrination is not the goal, and learning about the important thinkers of the past may lead to seeing the flaws in their thinking and developing improved ideas.

I could never reach the brilliance of Rousseau or Newton if I started from the point at which they did, but by building off their work, I can be much closer (though still very far away). We stand on the shoulders of giants.
Yes it's way beyond what most people realize now
It was called service oriented architecture before microservices, and the concept itself is way older in the mainframe world; not sure if it actually had a name because it was simply the way it needs to be done. Unix is basically microservices - and back in the 80s and early 90s even network services were built with the Unix philosophy, remember CGI? The Microsoft/Windows world was no stranger to it too - Corba (1991), D-COM (1996), SOAP (1998), WCF (2006) and now it's REST.

Software systems on mainframes were comparable to what we call serverless today - having more external interfaces (like HTTP servers) running on a computer would waste resources, there was one common external interface that invoked code on request based on configuration, and that code delegated heavily to specialized systems - since there wasn't even enough program memory and loading from disk was slow. Having multiple layers of backend systems was normal. Queues and batch job processing was usual too, and frontend systems usually provided precalculated data only, transactions were processed through the night.

Monoliths were actually the "cool new thing" started in late 90s and perpetuated by Java, PHP, Python and Ruby devs later on, they claimed it's easier to develop and deploy. Many people saw it as a conflict between corporate and startup software development practices - the boring engineers in suits always talking about service specifications and requirements for months VS the cool hackers that don't care and develop directly on prod server FTP to deliver a feature over the weekend. JIRA was one of these cool hacker startups.

I don't think the hackers were completely wrong and delivering quickly has value, but it's much more nuanced than "ZIRP bad because ZIRP made microservices", see also my other comment there: https://news.ycombinator.com/item?id=40334281
America is in the midst of an extraordinary startup boom
FREOPP is a conservative activist group not actually academic.
But you do need to factor in geography.
Solar cells in space can be “always on and operating at peak efficiency” directly over the places that need the power, significantly reducing the need to build long distance transmission lines.
Interestingly, I've never heard of a correctness bug in a GC, let alone one causing a real-world problem.
Latest stable version I can get, v11.1 apparently
All I am saying is that there are other strategies to explore.

It's ok to have deep learning. But the herding towards deep learning is just too much.

Recall that before Hinton and his group presented thier record breaking ImageNet results, deep learning was a fringe technique that the likes of Marvin Minsky regarded as a failure in "Perceptions"

Scientific progress is made by researchers exploring other alternatives.

Herding can only slow down progress.
The HP 48 was an absolute joy to use. It’s a shame that TI dominated the educational market.
Hopefully I didn't trigger too many folks... judging by the "votes" on my post, I may have done. Ah well, you can't please everybody!
Blueberry Is a Smartphone-Agnostic Keyboard Firmware
Neat!

As someone who has contributed to a language server, I've wanted a language/editor agnostic way to interact with it, primarily for the purposes of black-box testing. I wonder if this could be useful for that?

What's the process for adding support for a new language?
Clearly you haven’t been part of the group that had to track down where Java could be installed in a jumble of workstations and servers, because it was installed as part of an application that may or may not have advertised Java as its third-or-fourth level dependencies.

It also seems you are forgetting just how bad early Java was, from a programming and user standpoint. Java errors like NullPointerException became a meme because they were so prevalent in user space, and required so much energy and time to get things working. As a result, people typically refused to update any part of Java once their app was working, to avoid breaking things. And that was _if_ the install was registered with a package manager or Windows Update so updates could be reported.
I don't know, but we had a similar bug in OCaml, although in reverse.

Linux/x86-64 expects the stack to always be 16 byte aligned (although the ABI documentation at the time didn't make this assumption very clear). OCaml called into C with a non-aligned stack. GCC-generated code, assuming the stack was 16 byte aligned, used some strange Intel AVX instruction that only works on aligned data, unlike every other Intel instruction ever that can work on any alignment (albeit maybe more slowly).

This manifested itself as rare and totally unreproducible crashes (because stack alignment differed between runs). It was a bit of a nightmare to solve.
Look at the source. It's a Republican activist group supported by Avik Roy with multiple members of the Bush family listed as fellows.
Counterpoint - Tesla is trying to avoid a local maximum where they are able to do robotaxi's in cars with $300,000 of equipment on roads that are precisely mapped down to the centimeter.

Waymo and Cruise may have beat them to "first robotaxi" but I'm not convinced that they have anywhere near a scalable, sustainable model.
> wage gap is in favour of women

Hahahahaha… no. You can argue that the wage gap is an imperfect metric and that it can't take into account certain advantages but it has not ever been in favor of women.

https://www.pewresearch.org/short-reads/2023/03/01/gender-pa...
Hehe, this caught my eye:

"According to Precedence Research of Canada, the AI chip market is poised for explosive growth, with projections indicating a rise from $30 billion this year to over $200 billion by 2032.

Another research firm DataHorizzon Research even projected the AI Chip market to be 1,114.3 billion by 2032."

Ok, few here will deny the AI (chip) market is exploding. And CEOs will have visions of datacenters packed with expensive AI chips, extracting value from consumers. But if I were to take a guess:

AI models will be optimized the heck out of. Their architecture is only at the beginning of a long road of innovation (and in particular: simplification - aka race to the bottom). With so many heavyweights getting into the game, competition will be fierce.

Bottom line: yes, AI chips will be everywhere. But they'll also be cheap(-ish). Not unlike current day cpu's, flash, RAM etc.

With that in place, the next revolution: local-running AI models in everybody's hands. Cheap, easy to use & tinker with like mobile/PC apps today.
International meteor organization fireball program
I believe in order and purpose, I have a fairly strong spiritual practice. I pray, I meditate, I view my life as a journey, I believe I was put here for a reason.

I'm don't believe in conspiracy theories however, because I'm mature enough to accept that sometimes bad things happen for reasons other than "evil underground cabal of satanists".

especially this one - these people seem like they're in denial about their actions causing climate change causing their catastrophic weather, so they invent invisible bogeymen to blame.

I imagine that when they get dumped by their girlfriend, they'll blame it on George Soros manipulating her via 5G raditation instead of "well maybe she didn't like you being an abusive alcoholic who cheated on her?"
Selling my business, 26 months later (2023)
That analysis only works when p is non-vanishing, though. In point of fact the "car drives into something it didn't see" failure mode doesn't really exist, or if it does it's at a level much smaller than that of the human driver its intended to replace.
A trivia nugget often recounted here on HN is that .NET's GC was originally written in Lisp, then translated to C++.
I didn't watch through the whole thing, but the first 12 interventions were definitely valid interventions: “we're drifting again, oh, we're on the yellow line again”, etc
AI research in 2024, both fundamental and applied, is probably the most funded research in the history of mankind..
Dependency management and build systems suck though :D
This video somehow looks even more interesting than the pre-print of the article
Moores law doesn’t help when you’re spending money today rather than 10 years from now.
Simple: The video is comparing apples to oranges.

They are comparing self driving to driver assistance.
The goal is to be better than, not equivalent to, humans-- right?

I work on a synthetic aperture radar system that is high-resolution enough to "see" the painted stripes on roads through fog and a thin layer of snow.

It's not for automotive use and would increase the price of every car by several hundred thousand dollars but a fusion of multi-spectrum sensors should be the direction we are headed-- not a minimally-viable mono-sensor system.