skysight-inc/HackerNews huggingface dataset:
Historically you could go and catch a pig or similar reliably and feed your family since they were everywhere. Today it is hard to even feed yourself, you need many pigeons to feed even one person for a day.

Did you know that just a couple of thousand of years ago there were more elephants than humans in sub Saharan Africa? Feeding yourself with hunting then is really easy, there are meat giants to eat everywhere, that is what earth was like when humans were still hunters. Then humans hunted most of the largest animals to extinction and the remaining got turned to cattle.
Surprised nobody's developed a custom rom for these things, since I've seen so many other random cheap android devices get custom roms on the xda site.
Humans do hallucinate, there's lots of literature on how memories are distorted, we see and hear things we want to see and hear, etc.

The particular pathology of LLMs is that they're literally incapable of distinguishing facts from hallucinations even in the most mundane circumstances: if a human is asked to summarize the quarterly results of company X, unlike an LLM they're highly unlikely to recite a convincing but completely fabricated set of numbers.
Looks quite easily fixable too, the JS is quite simple.
Transportation revolution. Cars that fly themselves at high speed. Superconducting maglev trains shooting between downtowns and between suburbs. Cutting the distance is the only way to expand and combine low cost of living with economic density.
This seems pretty logical to me.

If we assume that distribution of professions scales linearly with population size, a 2x increase in population means there will be twice as many researchers and inventors that can dedicate their life to finding new solutions.

I would assume that the scaling is not linear. Do we need twice the workers in agriculture to feed twice as many people? With our modern agriculture technology that seems unlikely to me.

One could argue that this is counter-balanced by diminishing returns, as in: 2x the amount of researchers won't have 2x the output.

But it's hard for me to see how "more people = more progress" is false.
Setting aside the issue of delays (I agree with that; this is why I started blogging about async Rust again even though I am no longer part of the project), Rust cannot solve the problem except with async because of its prior commitment to "the C runtime." I've written about this in other posts, but this comment from PhantomZorba on lobste.rs describes the situation succinctly:

> Async style language features are a compromise between your execution model being natively compatible with the 1:1 C ABI, C standard library, and C runtime and a M:N execution model. C++ async suffers from the same issues, except it’s not as strict in terms of lifetime safety (not a good thing). The cost for the native compatibility with the C/system runtime is the “function coloring” problem.

> Go, Haskell, and I assume Erlang make the other compromise. They eschew the C ABI and runtime completely and implement their own standard library. All code ends up being color-clean. The cost is that integrating with code outside their ecosystem is complex and slow.

https://lobste.rs/s/jkct2m/avoid_async_rust#c_0dqqlv
The disappearance of the big animals that could sustain hunting.
Very interesting. And provide both Japanese and English version (both separately and together) is a God sent.
Definitely a given, it isn't like AI has an actual brain capable of resolving and forming new connections. The LLM and human brains is that LLMs are interactive compendiums and our brains organize and sort information that ensures survival as an organism. There is no survival of whether or not LLMs are accurate and a machine wouldn't understand what is good or bad without weighted context. Its good for analyze, process, storing, retrieving and decomposing information. It isn't good at understanding, validating and forming connections between the things it says and what you want of it. It lacks comprehension, it doesn't lack composure.
Rip_hoan903
Before ChatGPT, human language translation had a similar problem but people weren't as vocal about it.

What I find frustrating that it's increasingly challenging to have DeepL translate thou -> du, as this was my go-to "hack" to overcome the incompatibility of the English language due to its missing features.

To somewhat remedy the "yes man" problem, one needs to become a pedantic mathematician about posing your questions and I don't believe that LLM technology alone is capable of overcoming it entirely. As silly as it sounds, I must concede to the existence of "prompt engineering" as I can forsee the development of abstractions aimed to decompose questions for you.
Thanks! Macroexpanded:

Every Model Learned by Gradient Descent Is Approximately a Kernel Machine - https://news.ycombinator.com/item?id=25314830 - Dec 2020 (107 comments)
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Someone smart once said:

If it is good, we call it "creativity."

If it is bad, we call it "hallucination."

This isn't a bug (or limitation, as the authors say).
It's a feature.
> Environmentalists have been some of the more effective lobby groups for locking in fossil fuel use through 1980-2020 when we really should have been transitioning to nuclear power.

If environmentalists are so effective, climate change would have been a higher priority over those decades. It seems likelier to me that there's other, more convincing reasons we haven't rolled out nuclear at a huge scale. For example the following are typically more convincing and applicable to nuclear as well: high costs, high political risk, fossil fuel lobbying.
Why didn't the non-farming population expand to the limits the way the farming one did? Why aren't there two half-starving hunter-gatherers?
It's got some interesting data that I haven't seen before on falling fertility rates and projected future populations. I don't agree fully with the claim that a growing population is all upside. Nutrient density of produce has been falling for decades, so there are some problems that I don't personally see as something that can reasonably be hand-waved off.

But if you are someone terrified about the future and one of your pain points is overpopulation, the argument seems to make the case that populations are likely to begin falling at some point. (Granted I didn't click through to any of the cited links, so I am basically taking their word for it./pedant)
Alright. So the tldr of this article is that the more we are, the more we can commit to research in eg shrinking agriculture area per capita, which will be less hard on Earth. That we need a large population because it's cross discipline research and besides... More Researchers, right?

The author simply assumes we still have much to do there so the argument heavily hinges on that assumption.

The author makes no effort to counter this with the innate ease on Earth by simply being less people around? Surely, this factor may or may not be even more powerful than optimizing agriculture further than where we already are in a very advanced society.

Or did I miss something? If I didn't, this article is biased.

Besides, isn't there a risk that research made us more harmful for Earth? He points to reduced agricultural footprints but the cost for this has been monocultures that damage Earth and require use of antibiotics which damage Earth (humans included).

So I don't think more research innately lends to a healthier planet either.
History suggests that communism doesn’t end very well for workers, arguably even less well.
94.9% with a mouse after about seven or so tries. So, yes?

https://imgur.com/a/ESJjmWx

This feels like the old internet.

EDIT: 97.5% a bit later.

https://imgur.com/a/ZZfAudy
Perhaps your argument is correct. And my use of afford is unjustified.

However, if parents have a certain lifestyle they want to make possible for their children like: paying for daycare/aftercare so your spouse can keep their career, helping pay for college, having sufficient retirement to not burden them, etc the costs are clearly becoming untenable for middle class families.
Wrt the traditional Army management practices mentioned in the article – ironically the Finnish Defence Forces adopted in the late 90s a new leadership model emphasizing trust-building, positive reinforcement, and treating one's subordinates as individuals. Indeed the way the FDF trains its officers and NCOs (including conscripts) to lead these days is way more humane than the baseline in many civilian organizations!
The tradition has been banned by the authorities (AFAIK) because someone was put in a coma a few years ago. I'm guessing he is referring to men still being allowed to fight back then? Maybe it was (still is) seen as virtuous for men to fight? I dont know
This was a joyful epiphany for me when I encountered continuous linear systems for the first time. Another corollary of this is when the kernel is δ(x-y), the resulting integral has the value f(x). I like to see it as a continuous version of expressing a vector as a sum of its components.
More than a billion means simply > 1 000 000 000, which can mean anything from 1 000 000 001 to infinity.
Given your submission history of climate articles, you are going to argue that neither has a direct affect on the other?
Totallly fine for a Ukrainian woman to become Miss Japan: https://www.smh.com.au/world/asia/ukrainian-born-miss-japan-...
We have seen that some human are capable of doing complex ( square root ) maths in their head, can NN be trained to do this accurately ?
Asking it to write code for you is basically asking it to hallucinate.
Sure, we did that in 2016 when we first created the Future abstraction: http://aturon.github.io/blog/2016/08/11/futures/
So no productivity gains or increases to the standard of living since 1949?

How about an even more basic set of premises:

Do you believe that greater specialization leads to increased productivity?

Is there a correlation between specialization and the size of the labor pool?

Why is it that we develop software products and buy bread from bakeries? Why not own tractor, maintain a tractor, apply fertilizer, till acreage, sow seeds, irrigate, manage pests, harvest, mill the resulting wheat, knead the dough and bake the bread ourselves?

Better yet, just build a tractor at home from iron ore.
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Those whom I know who talk about not being able to “afford
children” mean that they wouldn’t be able to give those children the lifestyle and financial security that they deem acceptable. They don’t want to compromise and give their children less future comforts and safety than they currently enjoy, so they don’t dare have children on those terms. And often they have a nagging natural need to have children, so the discussion and reasoning is always tinged in a deep sadness.
> if you believe that people are perfectly fungible and that an Indonesian man will become accepted as Japanese

This is never going to happen going from the firsthand accounts I have heard from non-ethnically Japanese people who are by all accounts Japanese. As in born and raised in Japan, Japanese as first language, Japanese culture, norms etc.
Japanese society is simply too racist or xenophobic at its core. If you don’t look ethnically Japanese you’ll never be accepted as Japanese. And that’s even if you are white and even if your partly ethnically Japanese. If you have dark skin you at in for an even tougher time, and any hint of it going back several generations will label you as “the outsider”.

It might not seem like it from the outside because the racism isn’t as outspoken in media as in the US, but imagine spending your entire childhood living with everyone you ever come across acting like you don’t belong to the only country and nationality you have ever known simply because your fathers father was Scottish, it’s rough and a hell on its own.
The first known extinction event was caused by cyanobacteria that released vast amounts oxygen (highly toxic chemical) into the atmosphere. It killed most of the anaerobic life, clearly "deviating from the previous state of the world". The time has come to "remedy some of that irreversible trajectory".

The whole notion that the "current trajectory" is somehow objectively bad is ridiculous. It may be bad for humans though.
As I always tell my students: the solution to unreliable code is not to put the bugs in there in the first place.
With both Japan and Ukraine leading in depopulation, no amount of population swapping between them will save either one.
In my country, roughly speaking, only the really poor with state assistance seems to be able to afford having multiple children (or I guess, people who are members of powerful network of "in-betweeners" with translates to a near state assistance level). People seems to adapt their choices and behavior based on that fact. For instance, middle class women usually would not pick a socialy and economically risky father, this is an expected behavior. I guess "solid" fathers are more and more rare.
Honestly I don't find this article to be very clear or understandable about matrix products.
The animations are very confusing.

Probably when you already know how to work with matrices you can understand but otherwise I'm quite sure that you would not understand.
ClickHouse supports it for actual INSERT queries.

So instead of INSERT ... VALUES, you write INSERT ... FORMAT JSONEachRow and stream your data.

https://clickhouse.com/docs/en/sql-reference/statements/inse...
It might start working when we take away their screens, 24/7 couch-based entertainment, and their safe spaces to escape the violence of being misgendered.
So, senior engineers who work in Sthlm make maybe more than the aforementioned 'low' salary.

To add context, most juniors to mids make <50k in Malmö, which in annual USD would be closer to ~40k.
OP, do you mind sharing the algorithm for how you calculate the percentage?
Ah, the AI hype is now entering the "let's be real" phase. Haven't seen a frenzied post on alignment in a while now.
I imagine the gold is in knowing whether the LLM understands when it's doing either?

Isn't this the difference between a human and an LLM?

A human knows it's making an educated guess and (should) say so. Or it knows when it's being creative, and can say so.

If it doesn't know which is which, then it really does bring it home that LLM's are not that much more than (very sophisticated) mechanical input-output machines.
Again solidarity… If the strikers were listened to by the politicians they need to target then there wouldnt be a strike in a first place. People dont strike for fun. They try a lot of things before striking. Including communication with HR, bosses, politicians. All of it is easier than orginising a strike.

Instead you assume they didnt try other ways. They are “not smart”, they take others “as hostage” and their methods are “lazy”.

If they did strike in convinient ways nobody would care/listen. Making people upset exactly the point. You wouldnt be upset about it on US tech forum most likely you wouldnt hear about nor care about some lazy farmers.
That statement is also a bit easy on the "computable ground truth." There is no such thing for the tasks we use an LLM for (unless you make up some definition that mangles the definition of each word).
Come on, put a RISC_V soc in there.
Yes, this is the spirit of what I mean. For many it is wanting to guarantee some level of comfort and support for the kids long term AND have plans to not be a burden yourself financially.
I think there is no easy way to make an LLM answer "I don't know". For that, it should learn among all the stuff ingested when people effectively don't know. But most people on internet write down irrelevant stuff even when they don't know instead of simply writing "I don't know".

That's a very good point.
I agree that given the status quo, it's a no-brainer to host your own model rather than use their SaaS – and likely one of the main reasons SAI doesn't seem to be on a very stable (heh) footing financially. To put it mildly.
Improving filtering for the Vulkan hardware database
"Perfect" Piracy Shield and Propaganda: Blocking Blunders Branded "Fake News"
The latest Apple TV SoC (released in late 2021) is the same one used in the iPhone 13 and 14 (non-Pro). 2x 3+ GHz P-cores and 4x E-cores and 4GB of memory. I haven’t noticed any issues.

https://theapplewiki.com/wiki/T8110
I don't think so. I think it's asking it to repeat code it has been trained on
I'm of two minds on this point. Uncolored async is simpler language design and works well for _most_ cases but provides way fewer guarantees than colored async, with the potential to break badly in some cases.

For instance, there are many system-level data structures that are not allowed to migrate from one thread to another (e.g. Linux mutexes or Rust's Rc) or sometimes from one core to another. If you adopt uncolored async (unless perhaps you're using a thread-per-core scheduler), you just can't manipulate these data structures. At all.

Which means that you can't be a system programming language (for some definition of system programming).

By the way, if you wish to test uncolored async in Rust, you can find an implementation here: https://github.com/Xudong-Huang/may .
Barring an apocalyptic scenario, Earth is never going to see populations dip back below 2 billion, and honestly probably never even below 5. It's not even declining now, it's just [growing YoY at 0.8% instead of 1.2%](https://www.worldometers.info/world-population/world-populat...). That's the "decline".
> There is already a market for (very expensive) meat substitutes and they taste like crap.

Impossible is pretty decent tasting for ground beef substitute, IMO. The pricing is currently not competitive or inline with its utility value, but I could see that changing much faster than any colonize-space or make earth pleasant for 12 billion people projects.
Why were the surveys bogus?
Not the OP, but have a data point: the company I worked for offered ~40k SEK/month in Stockholm for junior devs, ~60k SEK/month for senior devs. That was two years ago, probably numbers are somewhat higher now.

And IMO while the numbers are okayish, the difference between them is ridiculous. Given how promotions in EU are mostly dependent on tenure, +50% for seniority are mere 5-7% yearly increases.
I can assure you it has no relevance for people working with LLMs, as the result includes your brain, for example.
Alan Watts on Money vs. Wealth (2014)
The market used to crash, people used to be able to afford houses without going into proto-slavery. Thousands of people used to enter a single store on black friday. We used to be a country.
> Why is it that in multiple years of reading HN I've never once seen an article that covers the other side's position?

If there were one, why didn't you submit it?
Australian Aboriginals didn't have bows so not sure how that proves anything.
I bought a FireTV stick for the lesser-used TV, having been accustomed to the Apple TV in the main room. It was cheap, and seemed to do all the stuff

The software was horrible:

* Highlight a search field, think you can use Alexa to dictate text? No, it'll just do a regular Alexa query. AppleTV gets this right: if you're on a text field, the mic button will just activate dictation to enter text

* Screensaver comes on, exit screensaver, also exits currently playing show back to the screen where you have to hit resume

* Slow, janky UI built with zero love

I felt bad when I eventually gave it away to my mum, who had a very early gen AppleTV that could not run Disney+. I felt so bad about inflicting the FireTV experience on her that I soon bought her a new AppleTV to replace it
I’m sorry… does this paper just point out that LLMs by definition are not as good at holding data as a direct database? Cause A) duh and b) who cares, they’re intuitive language transformers, not knowledge models.

Maybe I’m missing something obvious? This seems like someone torturing math to imply outlandish conclusions that fit their (in this case anti-“AI”) agenda.
The result in the theorem applies to your brain. Your brain can be modelled as an LLM in the sense of the paper up to arbitrarily small error.

The result is a diagonalization argument that is not very relevant for the real world.
It is a good piece, but they should have title it "Our Changing Colons, An Intenstinal Journey", which reflects its useful content.
So this implies that instead of spending resources on training bigger and bigger LLMs, AI practitioners need to shift focus to developing “ontological” and “epistemological” control loops to run on top of the LLM. I suspect they already have rudimentary such control loops. In a sense, the “easier” part of AI may be a largely “solved” problem, leaving the development of “consciousness” to be solved, which is obviously the hard part.
Right, I think I see the point you're getting at.

The issues around the UNRWA are a lot more complex than what's presented in the article. I appreciate you bringing documentation to back up your posts when I've asked for it.

I've realised from reading most of what you've brought so far that I'm not going to be able to develop a sensible opinion on the matter. It requires a lot more background and understanding of the region than I have. With that said I'm going to let this thread go. You may be right- I'm not convinced yet, but I think I've gone as far as I care to for the sake of an HN thread.
If you measure knowledge by the number of publications, then LLMs know nothing.
Fixing bugs is useful work. A bias against boring maintenance toward innovation is how you end up with crumbling infrastructure.
No, I'm suggesting that it could take a decade and still given the numbers in the thread I replied to (which I agree appear not to reflect reality) be a viable product. It never needs to be 'full'.
They're actually more similar than I expected. Nostr seems to have gotten lost in trying to be a decentralised store of everything [1], while BlueSky is focusing on Twitter-style social media and its challenges—moderation, portability, etc. (though I'm unsure if ATproto can support other types of decentralised content)

Nothing wrong with being a store of everything like Nostr, it's just that a totally open model of contribution with no direction or oversight (well, except fiatjaf) tends to end up bogged down following a million different and often competing ideas. It's very active, but moving in 196 directions: https://github.com/nostr-protocol/nips/pulls
> Unfortunately there seems to be a big "civil war" happening right now in Nim land

I believe the war is already over, the other side forked the language and seems to move in their own direction to create something new - https://github.com/nim-works/nimskull . That's probably for the better.

I've been around Nim communtiy around a year and I haven't seen any major conflicts break out since these people left. Nim is still actively developed and a joy to use.
And even the creator of the language, deemed as dictator or asshole by some, comes off only as grumpy old man (show me an old man who isn't grumpy, duh). Who also realizes his flaws and is willing to compromise.
I miss the days when HN posts about hallucinating were about microdosing.
Definitely #1
This "feature" is what prevents my backup app backing up my WhatsApp photos.

It's not a feature I want. I want to enable this on demand.