skysight-inc/HackerNews huggingface dataset:
Yes, my experience is generally residential, but it also tends to be that risk is just one of the costs that blue-collar workers are expected to take; there is little pay premium for it.

Skill does tend to get some reward; I think I'd be inclined to go electrician if I had to. I think if one wanted to get paid the most, I'd look at plumbing because it both takes some skill (despite the "3 rules" joke) and is literally shitty. Personally I enjoy a bit of carpentry work now and again, but my skill is nothing compared to my brother, and he was never really able to put together a comfortable living despite his ability. Fortunately, he was able to get an engineering job (not the software kind) fairly recently and was amazed at the idea of getting paid for a day off once in awhile and having health insurance.
People who make the Waymo argument fundamentally do not get it.

Waymo works because they have mapped out cities with maps and millimeter precision 3D scans. It only works in places with good weather. The rules of the road are hardcoded in millions of lines of fragile code. To top it all off, they are basically driven entirely by remote operators.

FSD works anywhere and doesn't rely on millions of dollars worth of equipment and pre-mapped environments. Tesla's technology is scalable in a way that Waymo never will be. You can buy a Tesla with FSD today for less than 50k. Google will eventually realize that Waymo is burning cash with no path to recovery, and shut it down just like every other Google product.
I don't have a lot of experience with using research papers, but I feel like people writing these articles don't either.

> In 2017, Naviaux and his team completed early clinical testing for suramin, the only drug approved in humans that can target ATP signaling and which is normally used to treat African sleeping sickness.

What's even the point of writing this? I found two papers, and the effects were so weak that it's hard to tell whether it even makes sense to pursue this further. Most results were not statistically significant, and the one that was did not come from a higher dosage.

But it's this sort of reporting that makes desperate parents give their children bleach enemas and horse dewormer.
What's scientific about this? The README.md isn't clear about the philosophy of science that this tool supposedly implements and applies.

Seems to me to be scientific in the same manner ELIZA is therapeutic.
That could very well explain it, I hadn't thought of that so thank you.
Nothing you’ve said there actually disagrees with the parent. It was not perfect on arrival but its gradual embrace was a sea change.
> the original discussion was regarding the notion that university prepares those who attend to fight fascism by being immune to propaganda or disinformation.

I'm neither defending nor disputing that notion. I'm just questioning the assumption that HN commenters are more enlightened as a group than university graduates.

> what I have witnessed and interacted with

Those are two different things. Passively watching the news, for example, doesn't count as having a discussion with university graduates; not to mention that the news isn't a representative sample. I was asking about your experience with discussions. And it feels like you're cherry-picking very specific issues, when of course university graduates have discussions about an extremely wide variety of issues, just as Hacker News commenters do.

> students largely convert to the university prevailing ideology and will follow it as dogma

What exactly do you think is the university prevailing ideology? Note that university administrators have mostly been vehemently, sometimes violently opposed to student protesters. In any case, nobody arrives at university as a blank slate. Students bring their preexisting views with them. Moreover, the student population is hardly uniform. You'll always find a significant number of conservative Christian students, for example, at any large university in the US. Somehow they escaped indoctrination (at university).

> Similarly those who study economics can only think of the world as money generating and revenue and begin to lack basic empathy of the human condition. -- It's like they've had critical thinking and nuance stripped. (this is a huge generalisation of course).

This is a huge stereotype of course. But you also have to ask yourself which students are attracted to the study of economics in the first place. Your major and coursework is mostly voluntarily chosen at college, which raises more questions about the "indoctrination" theory in general.
Well there you go, it fully qualifies
transformers don’t show any sign of convergence yet. The more data and compute we throw at them, weather it be chess, go, image classification, text prediction, the better they get. Tunnel vision is simply focus on finding a horizon, or a limit of some kind.
Are there any specific reasons for using BPE, not Unigram, in LLMs? I've been trying to understand the impact of the tokenization algorithm, and Unigram was reported to be a better alternative (e.g., Byte Pair Encoding is Suboptimal for Language Model Pretraining: https://arxiv.org/abs/2004.03720). I understand that the unigram training process should eliminate under-trained tokens if trained on the same data as the LLM itself.
Having dealt with many, many reference counting bugs in Python extensions, I disagree.
To quote one of the commenters:

> 2. They were using an non-geofenced level 2 highway adaptive cruise system for Mercedes, NOT the level 3 system which is only available in Germany. The level 2 system was never designed for city streets and have limitations on sharp turns, if this would an honest video they would compare autopilot vs drive pilot on the highway, which they won't do because drive pilot is better.
I am a staunch supporter of bicycle infrastructure and a daily bicycle commuter, but I remain unconvinced by percentage-growth figures like this. In many large cities (especially LA, where I live), bicycles represent a vanishing minority of road traffic; an extra 155% of almost nothing is still almost nothing.

I don’t have data on hand, but just a casual glance on an average day suggests that fewer than 1% of road users in my neighborhood are on bicycles—and that’s in Downtown Culver City, a mixed-use/pedestrian-friendly urbanist oasis. I’m sad to say that Culver City recently decided to dismantle its dedicated bike lanes, despite reported figures of >50% increases in bicycle traffic.[0]

I want more bicycle infrastructure, but I do not feel well-equipped to argue my case when even with the bike lanes in place, I’ve never seen two bicycles waiting at the same red light—all while car traffic is piled up as far as the eye can see.

[0]: https://ktla.com/news/local-news/culver-city-bike-lane-proje...
From almost bankruptcy to $1M in revenue in 2.5 years
Buying compute before such breakthroughs is a terrible investment compared to just waiting.
What does this bring over binding sshd to the Wireguard interface address?

That’s what I do currently with some of my hosts.
You are right that nuclear power tends to have a very long lead time. China has already conveniently installed vast amounts of solar power.
If you look at the arguments for/against resource consumption for bitcoin, a lot of the same arguments hold true- that actually we don’t necessarily have a deficit of power production. We have an energy capacity problem and distribution problem.

I wonder how much of this over supply can be taken up with AI training and how much that would change the calculations.
I think (collectively) the voters in many places didn't want green energy enough to actually pay for the large investments required.
Temporal – Good Things Happen
Early 2010s. Basically around its founding.

This is an article [1] from 14 years ago where Arrington characterized Quora with “People say they feel smarter after they use Quora” and “It’s kind of like Wikipedia [2]. This is the long tail of information”

1: https://techcrunch.com/2010/03/28/quora-has-the-magic-benchm...

2: https://techcrunch.com/2011/01/30/quora-is-really-about-a-be...
There is a labor shortage in the construction industry [0], and most union builders prefer higher budget (and thus higher pay) commercial building projects.

[0] - https://www.abc.org/News-Media/News-Releases/abc-2024-constr...
While the details differ, the social benefit are mostly similar for both maternity and paternity leave. It create a better bond between parents and child, resulting in children that grow up more healthy and productive for society. Parental bonding take times.
Show HN: I made an app that checks your brand name for vulgarity in other langs
Hey HN!

I am Roland and I made an app that checks whether your brand or product name is safe to use around the world.

Imagine you are founding your startup or launching your first product to sell and you choose the word "Pepeka" as your brand name!

Pe-pe-ka! Pepeka! Pepeka! Sounds nice, right? I think so, too! It has a nice flow, looks great and is short.

Now imagine after your launch you find out that "pepeka" means actually "female genitalia" as a slang in Brazilian Portuguese! Gente!!! Puta que me pariu! What a fail to use it as a brand name.

To avoid this, you can use now https://safename.rowu.me. We check in all languages if there is any bad connotation attached to the word. Be it sexual, vulgar or just strange to use for business purposes.

Check it out and let me know! You can try for free!

Roland
yeah that's nice that you point out the irony in 'official' sources blaming an organized group.

To my mind... I do think there is truth to the idea that if you're trying to make money in media (media = newspapers, television, internet), getting people's attention is more important than telling the truth.

From what I understand and have experienced, popular 'news' television channels (Fox News in the USA, for example) do not give their audiences well thought-out, nuanced analysis of what's happening, but rather push a very "us vs them, it's all their fault, get angry" mentality, because that gets them more eyeballs for advertisers.

It seems possible that social media influencers in Brazil have found that pushing the narrative of "it's the US government's fault" is more lucrative than "well, maybe we shouldn't cut down all those trees?"

however, I do agree that there is no reason a priori to assume they're acting together, and that this is anything more than a side effect of incentives created by social media algorithms.
What I find interesting is that in the US the cost of developing small solar PV systems is within reach of many homeowners.
If it is needed soneone will and probably is currently doing original research. The payoff is too great that alternatives would be ignored. As long as financial incentives exist progress will inevitably happen and the financial incentives in this case is massive.
[Raymond has now corrected the charts in the article, and also made other fixes]
Nope, it's all plagiarized. The site is garbage, as is the site owner. And of course, the upvotes are fake. If you see sciinsider.com, flag it.
There is likely no general anwer to this question. LLVM and WASM are sufficiently different technologies for different purposes. The original purpose of WASM was to enable code of statically compiled languages like C++ or Rust to run in the browser, whereas LLVM is a huge framework mostly useful as a compiler backend for a multitude of architectures. I'm aware that WASM is more and more used as a general purpose managed runtime (like the .NET ECMA-335 Common Language Infrastructure). And don't forget that there are much leaner, but still decent alternatives to LLVM, such as QBE (https://c9x.me/compile/) or ECS (https://github.com/EigenCompilerSuite/). So the answer to your question heavily depends on what you actually want to implement.
Sorry to hear that. Does it affect your dating life too?
Kden Live.
Thanks, coincidentally, I listened to a podcast episode about RSD (assuming you mean Rejection Sensitive Dysphoria) this morning and yeah, it is absolutely real. He's extremely sensitive to criticism, which often results in a vicious cycle. Will try to work with Minecraft to give him more topics. So far, he didn't like the whole Redstone logic stuff, but maybe it'll come in a bit. His mathematical abilities are actually quite good (and so are his language capabilities).
Yeah, carborundum is the correct word.
Tokenizer is unsafe because the loops are not bounded to the array sizes, 128 and 32 respectively.
Grant funders only finance projects with high probability of success.

It's very difficult to get funding on projects that don't already have a track record of success.

Which is why all research facilities working in AI today that I have read about only do research on Neural Networks
One of those sources isn't fairly well-known for being obsessed with Teslas (or anything Musk-related really), the other one is.
Fantastic!

What they're missing from the announcement: HOW YOU GET THE NEW TRICKPLAY FEATURE (preview images as you scrub along the seek bar)

1. Upgrade Jellyfin

2. If you configured hardware decoding, go to Dashboard -> Playback -> Trickplay and enable hardware decoding. Note that the hardware decoding needed is MJPEG, it's quite possible the hardware decoding your system supports does _not_ support that even though it supports other formats, so check before you enable this.

3. Go to Dashboard -> Libraries and for each library, chose ... -> Manage Library, scroll down to the new Trickplay section, and tick "Enable Trickplay" and "Extract trickplay images during the scan" (as it makes clear, this does not slow the scan down, it just kicks off the asynchronous task immediately during scan rather than as a scheduled daily task later)

4. Go to Dashboard -> Advanced -> Scheduled Tasks and run Generate Trickplay Images
I owe my one and only (bad) movie roll to a Roger Corman owned production. Was paid 50 Irish pounds out of the movie's, I think $25,000, budget. (https://www.imdb.com/title/tt0213094/). I can't really act but I think they were casting 28 roles and like 32 people turned up.

He wrote an entertaining book - How I Made A Hundred Movies In Hollywood and never lost a dime.
Go read https://knowyourmeme.com/memes/rent-free and learn the origins and predominant usage of the phrase.

In addition, it literally says "rent free". There's nothing intellectual or pseudo-intellectual about reading the phrase "rent free" and concluding that the information does not pay anything to live in your head. This is basic reading comprehension.
What's the slip? That AI in practice will not be neutral but instead tailored to the preferences of the vendor?
Arguably, that is a feature.

I’m not against coal or nuclear, However, if progress, as it is defined here, includes disregarding the opinion of the minority or does not respect the rules then maybe it is not real progress. Progress must include taking into account the constraints of the rules we have set in place.

We are basically making progress, albeit slowly, in trying to solve the issue in a way that is consistent with law and precedent. This includes a lot of debate and rejection, but over a long enough period of time it can be solved.
> I would say he massages his facts until they fit the narrative. Not saying he misrepresents things but he often comes to conclusions that are not based on the data IMO

This is a great answer, and is a very good definition of propaganda, especially in this context - his propaganda, if defined as such, is good/effective, because his motivated reasoning just so stories are broken clocks that are coincidentally right because he is a master of set and setting, cleverly telling stories at precisely the time and place of his choosing and in such a situated context/Situationist (International) way that they are not even wrong, and may even be correct, but not for the reasons he claims, or even for any reason at all.

I was hoping to draw out an explanation of what his narrative(s) seek to be an explication of, and in light of what I’ve written above, maybe he’s an author of selective revisionist history? Aspects of his oeuvre remind me of Fukuyama’s end of history, possibly the way that Curtis’ archival crate digging pastiche, his overarching yet hopscotching mode of storytelling, seeks to overwhelm the viewer with Gish galloping shaggy dog stories that are almost immune to shallow dismissal.

Curtis, like Daedalus and his son Icarus, constructs a garden path (sentence) through a Minotaur’s Labyrinth of meaning; like the maze’s solver Theseus, Curtis’ ball of thread weaves a tangled web of meaning through a hedgerow inherently devoid of meaning, and like Theseus, he accidentally/purposefully neglects to raise a black flag of ambiguity announcing his return to Athens/to meaning, instead hoisting the traditional white flag of discursive arrival at certainty, resulting in Theseus/Curtis securing the throne of power/discourse for himself, indirectly crowning himself king of the hill in terms of (a)historical victors.

I always was a sucker for mixed metaphors, though, and I might be wrong or perhaps biased. I always found Fukuyama’s end of history narrative subconsciously off-putting for some reason, while being drawn all the same to Curtis’ clarion call, but perhaps Curtis’ is a siren song sung by a wolf in sheep’s clothing?
Non-libertarian-ghoul take: "77% of bachelor's degrees and over half of master's cost nothing".
It works regardless of how big p is. Engine failures in aircraft are exceedingly rare but this statistical effect of needing p^2 events instead of p events has saved many lives. Having multiple pilots has the same rationale. While errors are correlated, getting an error past two pilots is roughly p - p^2 less likely than if you had a solo pilot.

Self-driving, as a mission critical endeavor, needs to be leveraging the same statistical phenomenon in order to reduce the exceedingly rare but highly impactful mistakes.

And by "something it didn't see" I'm talking about CNN/ViT mistakes/hallucinations. I don't see any evidence that it occurs at a level that's much smaller than humans. Any safety data we have is with human oversight. So the majority of errors are caught by humans and won't show up in FSD crash frequency or other publicly available data.
Tesla's vehicles lack the advanced sensor suites of other manufacturers, which means that Tesla's moat amounts to a massive quantity of lower-quality data. When it comes to navigating using lidar and radar, they're dead last.
The actual data: https://freopp.wpengine.com/roi-undergraduate/
Data is just cars driving around. Mercedes Cars have cameras too.

Compute power is just money, that is about the thinnest advantage you can have.
Like models, all abstraction are False, but some are usefull. I never found Monad to be usefull : a abstraction shared by async/await and map/list comprehension is for me a bad abstraction, because as a developper I typically want to know if I'm dealing with the former or the later. And want to manually combine them, like with gather.
Since Mercedes Drive Assist is SAE Level 2 and supported only on highways, the high number of interventions is a feature and not a bug.

The Mercedes driver seemed to be engaged and attentive, and therefore not likely to play a video game, watch a movie, and stop paying attention causing a crash.

It would be interesting to see Mercedes Drive Pilot (SAE Level 3) compared to Tesla FSD. That feature is not generally available in the US.
Actually, he says energy is the current bottleneck that if overcome, could lead to another bottleneck in the rate of scaling AIs capabilities
The imagenet results’ “main” contribution was showing that scaling the compute on large datasets worked surprisingly well. They didn’t contribute any new models as much as they showed that scaling is what helped these models learn and obtain SOTA.

It’s no surprise that industry has been pushing for more compute ever since.
> For example, try arguing that the USA should try to find a diplomatic solution to the conflict in Ukraine. You'll be immediately accused of being a "Putin puppet" when all you care about is that the war is ended with as few casualties as possible (as some say, winning the peace is more important than winning the war).

You will fall under criticism for saying this because it is indeed ignorant and naive and will only kill more people. Peace at any cost will only give Russia a chance to focus on repressing internal dissent in occupied territories and murder people until they have no meaningful opposition left there. After that, they can renew their attack on Ukraine and widen it to the rest of Europe, forcibly conscripting people from occupied territories to fight for them. This already happened after the 2014 invasion. How many times do you want to repeat the mistake before learning from it? In this round, about half a million are dead and many Ukrainian cities look no different from Hiroshima and Nagasaki after nuclear bombing. How many people more will have to die? 10 million?

Insisting on peace at any cost is purely emotional feel-good response that ignores the realities on the ground. Much of the discussion about Palestine and other hot topics is the same; uneducated virtue signaling fueled by social media narcissism.
It’s not like it’s sitting idle - the companies feel like they’re getting a ROI in whatever Gen AI nonsense they’re pushing to their apps
And a human with centimeter depth perception could drive far better. The goal of an autonomous car isn't to replicate human driving, it is to drive safely, accurately and in accordance to the laws.
Mozilla had this famous sign 8ft up on the wall that said “you must be this tall to write multi-threaded code”[1].

A lot of people will claim to be able to master it. The track record shows that even the superhuman domain experts make mistakes frequently, as it’s almost impossible to reason about, verify, debug and importantly maintain the invariants as code evolves. And good luck predicting performance implications on different CPUs and workloads. In either case, for software development it doesn’t really matter if there is such a hypothetical person: because nobody else is.

In practice it’s similar to protecting against crypto vulns: don’t roll your own, use trusted libs with very few hard-to-misuse data structures and operations, sometimes rely on lang/compiler features, and runtime analysis tooling.

Personally I think we eventually need an overhaul in language design, perhaps new concurrent control flow constructs and operations. Just look at the C code shown.. it’s not even “code” in the sense that one line does some logical operation scoped to the current function. No, it’s “markers” that tells compiler and CPU to flush internal caches, change their optimizations as a thread-global “operation”. And the post is introductory, SPSC which is much simpler, doesn’t cover thread parking, MESI, compiler reordering etc. It’s a red flashing sign that the abstractions are all whack, frankly. It’s the anti-thesis of a neat, modularized Russian dolls we typically enjoy with single threaded code, including C. Now, these things are still critical, they work and it’s the best we got. It’s a genuinely hard-hard problem, which is quite humbling given how prevalent, studied and important concurrency is to virtually every programming domain.

[1]: https://bholley.net/blog/2015/must-be-this-tall-to-write-mul...
> Assuming a fair charge (not the US kind of exorbitant tuition)

The submitted article was about "American colleges and universities", so we have to assume the US kind of exorbitant tuition.

If college students didn't have to pay exorbitant tuition and take out massive student loans, we probably wouldn't even be having this discussion about ROI.
So much is being learned, and some stock prices have gone up. If nothing else, the people receiving coding suggestions and AI-generated artworks appreciate the billions of dollars and million programmer-hours spent.