skysight-inc/HackerNews huggingface dataset:
A human would (should?) tell you “I’m overwhelmed, leave me alone!”

AI just spits out “stuff…”
Generally I think it is most fair to place the larger slice of blame on the one who originally presents the opportunity. These entities also tend to try and be opaque about the dubious methods they are using to undercut everyone else.

Talk to that building contractor and they will swear that they pay their employees well and responsibly manage all waste.

Of course, you still bear the remaining slice of blame since you kinda knew they were lying and went along with it anyway.
Is there anything stopping an employer from pretesting you to avoid adding a potentially expensive employee to their roster?
Isn't this already how it works? Raspberry Pi Ltd is a different company to the Raspberry Pi Foundation.
My visceral reaction to this was “well shit, RPi was supposed to be a non profit to lower the costs of computers, and now they’re going to be another boring computer company”, and that makes me sad. I know that Rapsberry Pi has been a dual for-profit and non-profit for quite awhile, so in theory nothing really changes, but it feels a bit weird.

However, it appears that unambiguously for-profit companies have managed to make affordable SBCs (e.g. Hardkernel, Nvidia), without having the same constraints of trying to save the world associated with it. Maybe Raspberry Pi IPOing will increase availability and funding?

Tough to say. I haven’t actually used a name-brand Raspberry Pi for awhile, and have opted for a competitor for the last several years.
And suffer from rising water levels, don't ask me how I know.
The world already has quite enough evolutionary "just so" stories. Our ancestors lived in trees, which presumably is safe from most predators, and standing upright isn't much of an advantage. Gathering would have been off the ground (no advantage to standing) or from bushes / trees (where climbing is better than standing).

Most African predators (such as the many big cats, but also some crocodiles) easily outrun humans, we are in no way evolved to outrun them. They will sneak up and then do a short sprint. Remember we're not running a marathon against them - we're playing tag and when they tag you, you lose. We're almost certainly not evolved to run to avoid predators.
I really doubt that an LLM (a transformer) can be extended into a brain just by adding all the missing pieces. A pre-trained transformer is just fundamentally different - it's really just a rules-based expert system (cf. Cyc) not the beginnings of any cognitive architecture.

That said, if you wanted to make the least-worst analogy between a pre-trained transformer and part of the brain, then I suppose it'd be like a single pass though the cortex (although the same could be said of a CNN, which tells you how poor the analogy is).
“What is your error rate?”
This is the question where this sub genre of LLM ideas goes to die and be reborn as a “Co-pilot” solution.

1) Yes. MANY of these implementations are better than humans. Heck, they can be better at soft skills than humans.

2) How do you detect errors? What do you do when you give a user terrible information (Convincingly)

2.2) What do you do now, with your error rate, when your rate of creating errors has gone up since you no longer have to wait for a human to be free to handle a call?

You want the error rate, because you want to eventually figure out how much you have to spend on clean up.
I'm sure those reasons are valid, but just the simple fact of the US stock market having much higher valuations than the UK market right now makes me wonder why they'd do an IPO in the UK. They'll get more money for the shares they sell in the US.
If it's a problem to be solved with money, it's likely they could do so with higher prices or loans. Even if they raise money through stock, it will end up with higher prices to make returns for investors. Public companies have higher regulatory overhead and will be at the will of the investors to make more money.
Government agencies use the statistical value of a life to weigh the benefits of a regulation against the costs to the public - the same people who would benefit from the regulation. Would a new safety requirement for cars be worth it if it added $500 to the price of every new car? They might use the value of a life to help answer that question.

This is very different than the recall story, because in that scenario there is no cost to the public at all, only to the corporation. When government agencies make rules about product recalls, they do not try to balance the benefit to the public against the cost to the recalling company, that would be insane.

See the DoT's own guidance here: https://www.transportation.gov/sites/dot.gov/files/2021-03/D.... They do not at all use this figure in the same way that a profit-driven entity does.

> The benefit of preventing a fatality is measured by what is conventionally called the Value of a Statistical Life, defined as the additional cost that individuals would be willing to bear for improvements in safety (that is, reductions in risks) that, in the aggregate, reduce the expected number of fatalities by one.

The word "individuals" is very important in this definition.
Isn't the issue with cabovers that American truck drivers think they look dumb?
Vapers spend a lot less. As a pack-a-day smoker I was spending $7-10 a day on cigarettes. Before I quit altogether, I was spending $20-30 a month on nicotine salts, $20 a month on cartridges, and $100 once a year or two for mods and batteries. Since I was working from home I was vaping constantly, so I didn’t reduce nicotine consumption despite the cost reduction. I could buy a brand new mod every month and it’d still be cheaper.

I’m sure there are whales that spend on vaping like some stoners spend thousands on Mothership glass, but they pale in comparison to the millions of multipack-a-day smokers that are worth thousands a year in profit. I assume that’s why Juul was pushed so hard by cigarette companies, the economics of Juul pods are much closer to cigarettes than the stuff sold in vape shops.
Staplerfahrer Klaus as an anti-smoking mascot. Never would've had that thought before today. Thanks for that.
https://www.reuters.com/business/energy/high-river-temperatu...

but you're right, half of them were down for other reasons, too: https://www.nytimes.com/2022/11/15/business/nuclear-power-fr...
The demo they posted demonstrates how to do it. But I don’t think it’s a generally good solution to the problem, it feels like it solves this specific case where the type is a string hash. I think the evolution of this for other types and objects is more like what the OP article suggests.

I wonder if a more natural solution would be to extend the String class and use that to wrap/guard things:

class Hash extends String {}

compareHash(hash: Hash, input: string)

Here's an example: https://www.typescriptlang.org/play/?#code/MYGwhgzhAEASkAtoF...
> 2. Trusted OS: You can trust the OS from get go.

Mostly true. However I did experience issues that led to less than 100% trust.

When I got my Pi 5, I ordered an NVME HAT and was thrilled to be able to run the Pi from an NVME SSD. Then one day it would not boot. The messages on the screen indicated that it no longer saw the SSD. Booting from an SD card, it also did not see the SSD. Convinced that the NVME HAT had malfunctioned, I initiated a return through Amazon and eventually acquired another. About that time I discovered that there were known SSDs that did not work with the Pi, including the one I had. IOW, a S/W update had caused a working system to malfunction. A different SSD has been working without difficulty.

I was also puzzled that the imager did not list the current version of the OS for a Pi Zero. I asked about this on the official forum and my post was removed without notification.

Also at one point, a system installed to an SD card on a Pi 5 would not boot on a 4B. That has been fixed and in fact, the 5 and 4B use different kernels. One side effect of this is that on `apt upgrade` the process tells me that a different kernel will be used on reboot. (It won't.)

The Pi 5 is a massive shift in architecture and there is still (IMO) significant technical debt that the Pi engineers are catching up with. (But not enough to cause me to look elsewhere.)
If LLM could invent consistent imaginary games (or anything, like a short novel, or a 3 page essay on anything it want), maybe i would agree with you. The issue is that anything it create is inconsistent. The issue might be an artificial limitation to avoid copyright issues, but still.
For the record, I'm not opposing any of that, I'm just making a point. Not all the employees can prove it or even be concerned about it. Perhaps it never occurred to them exactly because they trust the employer (the reason is irrelevant to that effect). So it can and will happen whether you (not you personally) like it or not so with WFH the question is that which one do you prefer.
a trash fire *

Some people just want to watch the world burn
I'm not sure, but there are other ways of listing besides SPACs, like ADRs
How much NOx would this generate, I wonder.
LVE Project: A Repository of Language Model Vulnerabilities and Exposures
Good luck!

Any plan on adding .NET support in the near future?

How does it work with existing code-bases?
> If I had killed someone, would I be allowed to buy my freedom?

You mean like https://en.wikipedia.org/wiki/Dream_Team_(law) ?
They're supposed to be tuned but often aren't, as many motorcyclists can attest to

Further the muni often lacks resources to fix this in a timely manner after reporting. In some cases you see states effectively throw up their hands and say "if it doesn't detect you can just run the red"

https://www.advrider.com/f/threads/dead-red-traffic-signal-l...
You don't know and you cannot verify if it indeed was spam filtering. I think that is part of the problem here.
You're right, these proteins could be associated with conditions that can later lead to mutations that cause cells to become cancerous, but they don't point to a specific cancer. Interestingly they hint at modifying the proteins to reduce the likelihood of getting something, but that could be risk in itself. A lifestyle change could be helpful in some cases.

I suppose if you have enough of these markers they could schedule routine testing earlier than usual, say 40 instead of 45 for colonoscopy, mammogram, etc.
True, I should have replaced shipping with the mass of everything else we consume.
Show HN: I built a simple face-matching game for Slack
Just shows you a random profile pic from your workspace, and you guess who it is. Keep going until you have your teammates down! Any feedback welcome.
A simultaneous failure of multiple breadbasket regions (something made much more likely by climate change) would case mass global death. To be fair, first-worlders wouldn't be as affected, though.

It's not good to assume all hope is lost, but it is also dangerous to bury your head in the sand.
> but is what I had read explaining the inability to get RPI4s and RPI5s over the past year.

RPi5 never really had a shortage; there was the couple of months of "preorder" during launch.

During the post-COVID extended Raspberry pi shortage, a big percentage of production went to keeping OEMs happy to avoid screwing customers that had designed in RPi products.
Cool, but all I see are comments and attempts at solutions. Are the actual correct solutions available somewhere in the app that I'm not seeing?
The Cult of Shareholder Value, oddly, stops just prior to that point.
There is a new VirtualBoy emulator that runs on the Nintendo 3DS so that you can play these games again in 3D. And yes, you can adjust it to play in a different color than red. Some of the games, especially Wario deserve another look from retro game fans. https://github.com/skyfloogle/red-viper
Citation needed? 30 seconds of google with “cabover safety” found only the opposite in results.

Maybe it’s a trade of “better visibility” vs a “battering-ram with no front crumple zone”?
What are other equipments similar to this one but different?

There seems to have many GPS location trackers on the market, are they all based on the same hardware?
Is it erased at runtime? The article doesn’t mention this.
Thirty dollars?!
Optimus Prime would like to have a word with you in the other room…
>Anyway, my point is that the issue is basically one of co-ordination and political will

Again, what does "political will" mean? What are you going to do to those that disagree? Lock them up? Exterminate them? What is the solution to force people to do your bidding, and has it ever worked?
This is such an odd take for me. If the test works and insurance makes the test mandatory (which seems pretty unlikely, what other comparable tests are mandatory?) then more people will get an early diagnosis, and less people will die! The incentives are aligned, the system works!
Sea level rise from climate change is a fairly marginal issue in most places on the scale of a human lifetime. Famine from drought is a much bigger problem in the short term.
>Say it with me...

There's no need for the condescension, even if you had actually understood the point.

>It uses statistics to generate...

I assume most here understand your rudimentary description of how GPT works.

My point assumes that LLMs and/or some augmented form of the same continue to improve.

If, OTOH, the best we ever do is the current generation of models that hallucinate, require babysitting, and never reach or exceed human capabilities, then my point (and >90% of the discussion around AI's future impact) are non-issues.

I suppose I assumed that was obvious.
Agreed. I would understand such oversight from the 'common press', but from a university I would expect better. Oddly, of the 16 authors, they credit the first and the last, yet authors are usually cited in order of importance. The writer of this article clearly did not know better. Perhaps she thought that to credit the first and the last would be somehow 'covering all bases'. As others have done, I also question the title of the article, which does not correspond to the facts presented in the paper. As a press release, this is a mess.

Regarding the actual content, I am no expert, but on surface evaluation their methodology seems generally sound. Importantly, they seem to be referencing data from first hand sources. However, I am still confused. They state:

> A total of 453 measurements were made from 249 individual depth levels on the WAIS Divide Ice core (79.48°S, 112.11°W).

Does that mean '453 measurements from each of the 249 depth levels'? Or '453 measurements from random points in the 249 depth levels'? Or what? And what is the difference between an 'individual depth level' and a 'depth level'.

Such imprecision aside, climate change = warming ocean = wind direction change = catastrophic climate change. I remain worried.
Anything you can do with a magic chemical you can do with preparation. Here’s a mind-blowing option. Stop drinking and then you don’t have to deal with:
The fact that it’s killing you.
The fact that you might kill somebody else while driving.

The latest science says the safe number of drinks might be one. Per week. If you’re not keeping it to that you’re harming your health. (And if you’re keeping it to one per week there’s no need to break it down in the body) just keep it out of there to begin with.
> And for `hash.toUpperCase()`, it's a valid program.

In a sense, but it's not the program we wanted to write, and types can be a useful way of moving that kind of information around within a program during development.

> TypeScript is not designed to stop you from using string prototype methods on... strings!

No, but it is designed to let me design my types to stop myself from accidentally using string prototype methods on data to which they don't actually apply, even when that data happens to be represented as... strings.
I've thought about this one for a long time having lived in both SV and Canada. It is a complicated one but there are a handful of critical road blocks in Canada that make it more challenging.

(1) Access to size of market even if online being US vs 'foreign' has advantages in political arena/regulatory benefits

(2) Significant tax advantages for US investors vs limited tax advantages for Canada (Angel+VC)

(3) Risk Appetite (impacted by size of market) - compounded by tax disadvantages (why would you take risk if your lining the pockets of the government?)

(4) Bench depth on talent once you really start to scale your company

(5) CAD strength (double edged sword) - talent goes South for better salaries (+ you need to compete), if the company revenue is in USD and employees are paid in CAD

(6) Start-ups paying in equity, early employees taking on that risk actually will get taxed heavily under new cap gains so the incentive to work hard for money is lower.

(7) Network effects of being in the valley - idea percolation, new playbooks, talent, competitiveness, company fitness

I will add that in this very specific AI case there is limited way you are going to find the depth of talent and capital in the country to make that company fly at the scale it needs to be.
> I should lastly add, maxed out on performance when balanced against maintenance. Like, I could put a very performant F1-type high-tech engine in one, and possibly eke out some performance gains. But the overall schedule and cost will negate any fuel savings, not to mention the added hidden environmental burden of maintaining exotic frail engines.

This would just be a flat rejection to any engine modifications at all. I suspect they would still be just as reliable and no more exotic than any other engine.

And if want to go down the route of unmaintainable, I think we should discuss electric trucks. Each part is coded to work only with specific parts, insane costs to repair/maintain, no real standardization to any part, quite dangerous to work on, etc. The environmental burden of those is going to be insane.
There will always billions in losses from something, especially when global wealth is estimated to be around 450 trillion. The Dust Bowl was a disastrous incident of climate change, yet it didn't occur because of CO2. The damage caused by the California Wildfires are just as much a function of expanding developments into forests, immediately putting out small fires leading to the accumulation of fuel over time, and opposition to controlled burns. Property damage and deaths from flooding are mostly a function of population growth in the developing world, without sufficient corresponding investment in water management infrastructure.

Regarding the solution, stratospheric aerosol injection would be the most immediate and effective solution to rising temperatures. It's been estimated that current increases in CO2 have a radiative forcing effect of about 2 watts per square meter, compared to the total solar irradiance of 1361 W/m2. If CO2 levels doubled to 800 ppm then it's estimated this would have a radiative forcing effect of 6 W/m2. This scenario would require mitigation strategies like stratospheric aerosol injection to reduce solar irradiance by about 0.4%. In the context of plant growth this reduction in sunlight would be negligible given that photosynthesis is only 1 to 2% efficient. If anything we should see significantly accelerated plant growth by about 10 to 50% due to the CO2 fertilization effect at 800ppm.
As a Romanian, the renaming of the culture really bugs me. We discovered it first, in a village called Cucuteni, so we called it Cucuteni culture. The Russian imperialists discovered it afterwards in Ukraine and called it Tripolie culture. After independence the Ukrainians renamed it after the proper name of their village: Trypillia.

But it doesn't change the fact that it was first discovered in Cucuteni.
I’ve tried so many times but I just can’t come up with any compelling use for a raspberry pi. It seems well suited for making a NAS or plex server, but other than that, idk. Everything else I want to experiment with is better served by an arduino.
I gave up on my Hotmail completely quite recently for the same reason. It seemed to just stop filtering altogether. I'd recieve somewhere on the order of 50 spam emails to my main inbox a day. If anything, it filtered more email I did want than those I didn't. I haven't had the same issue with gmail.
Could even have more than one mistake per question.

As an aside, I really hate the 'art' of US essay writing. The AI has now learned to emulate this equivocating waffle that sits somewhere between not wrong and not even wrong. I do wonder now - with better tools available could we instead teach people to first act as an editor for other peoples content, perhaps even AI content. In effect have the people act as the discriminator in the GAN. I think it might be a faster and more thorough way of learning that embraces the help of AI while ditching the awful equivocating waffle that is currently being taught.
Forgotten Bookmarks
Most interesting part is how we view changing ourselves VS others so critically different.

We know how hard it is to change ourselves, yet view others as fuzzy and that it's easy, just enact a few advertisements and a program or two, done.

But at the same time, it's basically impossible to know what will work until it hits the field. Better to just throw a bunch of stuff and then adjust according to the results.
From memory at my previous company, that was on LSE AIM, the discussion around LSE wasn't about Brexit or anything like that, it was the amount of investment capital available in US exchanges. The US has definitely got something right with incentivising investment.
Expanding on this, human failures and machine failures are qualitatively different in ways that make our systems generally less resilient against the machine variety, even when dealing with a theoretically near-perfect implementation. Consider a bug in an otherwise perfect self-driving car routine that causes crashes under a highly specific scenario -- roads are essentially static structures, so you've effectively concentrated 100% of crashes into (for example) 1% of corridors. Practically speaking, those corridors would be forced into a state of perpetual closure.

This is all to say that randomly distributed failures are more tolerable than a relatively smaller number of concentrated failures. Human errors are rather nice by comparison because they're inconsistent in locality while still being otherwise predictable in macroscopic terms (e.g.: on any given day, there will always be far more rear-endings than head-on collisions). When it comes to machine networks, all it takes is one firmware update for both the type & locality of their failure modes to go into a wildly different direction.
"I have my fingers crossed that they can learn to target yachts specifically."

"Yachts" here look like moderately sized sail boats. Doesn't look like this is rich people's super yachts if that is what you are getting at.
I did. Northern Appalachian/Allegheny Plateau region. Lots of cheap real estate with low natural disaster risk.

Also a great region for small scale agriculture. Climate change might even help this region's arability.
Also “cancers that your body takes care of on its own”
This brought back memories of the D.A.R.E. officer coming to my elementary classroom to give us the "don't do drugs" speech. At the end of the speech with feigning hesitation he'd pull out the drug briefcase to the cheers of the kids, like a band holding out their best song for the encore.

"This here is methamphetamine, aka crystal meth or speed. If you see a man running down the street with the strength of a bear, there's a good chance he's high on this. It's very bad. You don't want to get near this--it'll make your heart explode."

It's a wonder that didn't work.