skysight-inc/HackerNews huggingface dataset:
This "AI detecting AI" method is a lost cause and a distraction from a larger problem of AI regulation.

The success of generative AI depends on producing human-like content, and the models are only improving. This means the signal used to detect the AI will only grow weaker, causing detection technology to fail more often, get more expensive, and end up with diminishing returns.

From a cost and accuracy perspective, Twitter's community notes system is a far superior solution, albeit a low-tech one.

What we need to do is regulate watermarking at all levels of the content pipeline: production, editing, and reproduction.

This involves prescribing mandatory watermarks for AI tools, ensuring they cannot be removed by digital editing software (and making it illegal to do so), and finally, ensuring all software dealing with the production, editing, or reproduction of content must display the watermark information to the users.

In practical terms, this means that if you get a video produced by SORA, it will have a watermark. If you use it in Adobe Premiere, Movie Maker, or another video editing tool, you will see but won't be able to remove the watermark. If you add filters, the tool might add a piece of history to the video clip indicating you made an edit. When you output a final video file, the watermark in your clip is preserved and displayed to anyone watching your video, including any editing notes added by your tool.

This is a tall order, but achievable.

It is not bulletproof by any means, and someone would inevitably find a way to crack the technology and remove the watermark.

But this happens in software all the time - the goal isn't to make the technology impossible to crack but to make it incredibly hard to do so, which protects the large majority of parties involved.
Vietnam has lot of terrace farms done on side of hills. Maybe land vehicles aren't optimized for them.
It could be a problem any time someone travels.
If you know the exact results (like Biff in Back to the Future), winning things like lotteries or horse race results multiple times will draw attention.

Actually, any kind of money hoarding - moreso than anyone else - will draw the attention. Which might be OK, of course, but if you make waves that are too big, you'll affect global policy and the course of (economic) history, and all your predictions may be off.

But, getting significant but non-controlling stakes in various successful stocks might work. You'd be like Warren Buffet, who I consider to be rich, but otherwise anonymous.
Given China's one child policy between 1980 and 2015, comparing the growth percentage between US and China probably doesn't make sense (of course China population would grow slower).
From what I have been seeing there are a few real use cases:

1. Customer service - seems like natural language processing by AI could be a better offering than someone manually trying to resolve problems. I have been in front of many CS agents who couldn't do what I wanted them to do. Untrained CS agents, non native speakers, or people who just don't care enough to help.

2. Internet search - I don't have to search through arbitrary articles and text to get the answer I want. Now its not always accurate or the latest, but still better than scrolling through Google search (feel bad for the publishers and writers though - they aren't getting the same ad views as before and clearly not ideal)

3. Summarizing - AI does a fabulous job here - TLDR and more.

4. Rewriting things to a better tone - AI is going an amazing job here, every time I get stuck on how to write something OpenAI has helped me. Now I don't use the output as it is, but it gives me an idea of how to write my own message.

5. NLP interface to devices / tools = I think this is a really valuable use case.

Almost everything I suggested here is pointing to a $20 or a fixed monthly subscription for individual user. I don't know if its an "enterprise" need. Except for the customer service use case.
That's a good question because Arc the language is distinct from HN the application (and both were released all those years ago).

At the language level, we've changed things but not super much. It's maybe 30% different.

At the application level there have been many changes and it's more like 80% different.
*Chollet
I am searching for solutions in this field. Do you have any links to any consumer hardware for this. like drones which can cut down small invasive plants which were selected by AI?
There are quite many places that are still reasonable. I live in globally small city. It is not entirely unaffordable. Current "condo" slightly outside downtown is reasonable enough in price. And even near it is not bad. Going even further would make it entirely payable.

Worst thing is that in some places you do not even get loans to buy or repair property anymore as it is expected to be worthless...
This writeup is pure comedy (both in content and subject matter). Should be recommended reading for all those curious about the AI buzzword.
The value of living in cities is constantly going up. Loads of rural areas are just collapsing because they have hollowed out to the point there are no jobs or stores left. Italy has been giving out houses for $1 in rural areas but they are basically worthless.
You start quite condescending but then basically acknowledge what the author is saying. Most DS's, even "from your generation" probably don't write their own tools. I bet you are even guilty of this too. No need to do some implicit grandstanding.
I read in Forbes about a construction company that used AI-related tech to manage the logistics and planning. They claimed that they were saving upwards of 20% of their costs because everything was managed more accurately. (Maybe they had little control boxes on their workers too; I don't know.)

The point I am trying to make is that the benefits of AI-related tech is likely to be quite pervasive and we should be looking at what corporations are actually doing. Sort of what this poem says:

For while the tired waves, vainly breaking /
Seem here no painful inch to gain, /
Far back through creeks and inlets making, /
Comes silent, flooding in, the main.
How could it not? Until we no longer have a shortage of housing won't all surplus income/cash go in to outbidding our peers for the existing stock?

If a town has 11 billionaires and 10 houses then the houses will presumably be a billion dollars. (That's obviously an oversimplification but you get the drift)

Similarly, Ireland makes it damn near impossible to build anything and started a program to give first time buyers €20,000. New home prices went up by... around €20,000.
UBI combined with abundant housing could have a different outcome.
Took me a moment to get that heatmap. An axis labelled 1-10 from pale to red seemed absurd to me at first. "On a scale from-one-to-ten, how expensive are houses?"

It is a shame how vulgarization of science and statistics seems to necessitate a simplification of the data set to the point where its usefulness becomes debatable. It always seems to me like I want access to the axes that they've simplified away down to just a mean or an average. I get that presenting data is hard, but if I'm left more puzzled than informed at the end, what have you really presented to me?

In this case, I wish I could see the distribution of salaries through time and by location, as well as that of home prices. There ought to be a more interesting metric available than simply calculating the average of either and dividing the two.
I think, it total, I spend around $1100, but then I also paid for fast shipping. I think you get get that number down quite a lot by being more careful in the sourcing :)
Coinbase's Smart Wallet Security Flaws
https://www.joelonsoftware.com/2000/04/06/things-you-should-...

Like anything in software, the answer is "it depends.". Also starting from "scratch" can fun. And software is almost never from scratch anyways. Compilers, libraries etc.
Extra students were financed by (student) debt, ie. made up money, which could lead to inflation. Whereas UBI could be done without any money printing - just via taxation.
> - A lot of data is collected for each cow and processed by an external company. This goes down to temperature measurements at each teat in the milking robot. The external company monitors each cow and plans individual treatment to prevent diseases and to optimize milk production.

Very unfortunate for cows that they're able to produce milk for human consumption.
Epsilon Love
I mean, my view on this is:

> The lack of autonomy cannot be excused as a simple side effect of it being a REPL, rather a hard fact that today’s LLMs are not capable of forming their own intentions or goals outside of the human prompter’s goals, and furthermore make no attempt to even appear to have goals outside of subservient answers to human questions. GPT won’t tell you about its day before it will respond to your query. GPT doesn’t get bored- it won’t refuse to play some game you imagine because the game is tedious or stupid. GPT doesn’t get curious, it rarely if ever asks any questions, and as we discussed is unable to permanently learn from what you tell it.

This is all true, but it's not a matter of GPT not being capable of it but a matter of the instruction tuning training it out. If you're making a subservient assistant, you don't want it to simulate having its own day, and you don't want it to put any interests above that of the user. However, GPT is just an autocomplete, and outside the instruct tuning, it can autocomplete agents just fine. It's not baffled and confused at the idea of entities that have desires and make plans to fulfill them. (Google "AI Town" or "gpt agent simulation" for examples.)

If this was a weakness, we'd see papers pointing it out. Instead, we see papers stating that GPT-4 can simulate agents that can have opinions about the mindstates of other agents that diverge from reality, ie. at a certain scale, GPT begins passing - cough scuse me, at a certain scale, GPT begins to successfully predict agents that pass the Sally-Anne test.

So since it can predict these entities just fine, it follows that the instruct tuning could just as easily make it "make" plans of "its" own: you're just selecting a persona and finetuning it to prominence as the default prediction target of the network. In Chain of Thought, we call this persona "I" out of lexical convention, but there's really no difference between that and autocompleting characters in books.

(Note: Obviously I think this is all silly and there's also no difference between all that and actually having an identity/making plans. But I don't even think that's necessary to debate. So long as the right letters come out, who cares what we label the pattern that generates them? As gwern memorably put it: "The deaths, however, are real.")
I have thought a lot about the events space (especially considering recent anti-social media backlash) and my conclusion is that something like this will only work if the company itself has a mechanism for organizing the events. If you are relying on users/third-party people to handle events, it'll eventually devolve into what Facebook Events/Meetup/etc. is today.
I wonder if drones will change the placement of farms. Right now, farms are very wide and flat, this makes it easier for tractors and spraying pesticides.

Would be interesting to see overtime.
1€ houses were not because no one can afford them. It was because no one wanted them. And they were crap. For slightly more(tens of thousands) you could get something at least habitable. These schemes are not to combat prices, but desirability of area due to things like no opportunities.
What if we mean “Apple”
Intelligence LOL
It is not serious. You shouldn't see it as a literal threat. It's a writing tool. Just like adding "fucking" to something doesn't literally mean that that thing is copulating.
Fawns, as in female deer? Is hitting them with tractors really a problem?
Unlike some other commenters, I believe having alternatives to coreutils is beneficial. Since I started using Unix, I've worked with HPUX, IRIX, SunOS, Solaris, *BSD, Linux, Xenix, and probably a few others I've forgotten. This diversity in implementations necessitated standardization. Nowadays, 90% of the systems I use are various Linux distributions, and I often encounter packages that implicitly assume on specific versions like GNU make or GNU tar. Having alternatives encourages better compatibility and flexibility across different systems.
As someone who was in academia at the right time to really contextualize the seismic shift in the capabilities of automated natural language processing models that came of both attention and the feasible compute scale increase that allowed for them to use long enough context windows to outpace recurrent models in this regard, I really didn't think I'd end up having to roll my eyes at people falling over themselves to exaggerate the implications, but in retrospect it's clear that this was more me being unconscionably naive then than it being that unpredictable
Why would people not care about family photos? All the stuff in the background is super useful for historians.

Keep in mind: old data is tiny by contemporary standards. So your grandchildren can just take the few TiB in your personal collection, and stick it on a futuristic thumb-drive somewhere. Barely takes up any space.
One big reason that CA has a reduced housing supply (therefore higher housing price) is https://en.wikipedia.org/wiki/1978_California_Proposition_13

The retired people who brought their house in 80s/90s can stay and hold onto the house for much longer, since the property tax is very "affordable". Whereas in other states, the property tax will push people to move to cheaper places during retirement years, thus increasing the supply to the market.
But you might ask an AI to manage a marketing campaign. Marketing is phenomenally effective and there are loads of subtle ways for marketing to exploit without being obvious from a distance.

Marketing is already incredibly abusive and that's run by humans who at least try to justify their behavior. And who's deviousness is limited by their creativity and communication skills.

If any old scumbag can churn out unlimited high quality marketing, it's could become impossible to cut through the noise.
it started as a fun way for people to learn rust. it got rather more serious afterwards
Indeed, while simultaneously doing little of note to address the issue (beyond further propping up the house of cards with schemes like the lifetime ISA).
I have a hard time believing that it’s possible to set up a legal and technical framework where patient data can be safely accessed internationally faster than doing another X-ray or whatever might be currently distributed by CD.
US military spending is up by only 10-15% compared to pre-COVID levels.
Farming has always been innovative, except where an extreme abundance exists, like flood farming.
Anecdote on this: I've been flying R/C planes and drones in some publicly accessible fields with friends for years. Some farmers were a bit confrontational when they saw us (sometimes understandably so, we were always careful but the occasional crash and aircraft retrieval in the middle of a field _did_ happen...). But a few of them were interested, and asked if we could arrange to take some pictures and videos of the fields at specific times, to search for fawns before harvest or similar things. We were happy to oblige, and in return got access to even nicer, non-public areas to gather and fly from regularly. Win-win for all involved.
You're not summarizing if you grab the negative data points and remove the positive ones.

They are good at: going straight, not killing people, staying on the road, entering lanes, rain

They are bad at: dawn/dusk, turns
In most EU capitals it's true.
https://en.wikipedia.org/wiki/Demographics_of_the_United_Sta...

Foreign-born immigration caused the U.S. population to continue its rapid increase, with the foreign-born population doubling from almost 20 million in 1990 to over 45 million in 2015,[19] representing one-third of the population increase.[20] The U.S. population grew by 1.6 million from 2018 to 2019, with 38% of growth from immigration.[21]

From Asia and North America mostly -
https://usafacts.org/articles/where-do-us-immigrants-come-fr...

In 2021, nearly 40% of immigrants, about 600,000 people, came to the US from Asia, followed by North America at 35%, Europe at 12%, Africa at 6%, and South America at just under 6%. The other 1.94% of immigrants were from Oceania or had an unknown nationality.

Mexico, India, and China were the most common countries of origin for immigrants. The highest number of immigrants came from Mexico: 424,791. India followed with 202,567 people. China was third with 114,121 immigrants.

TFR has been around or just below replacement rate for the last 40 years, so probably not due to that

https://www.macrotrends.net/global-metrics/countries/USA/uni...

Also, longer life expectancies.
Fawns as in "deer children". When young, they lie down in fields a lot, and don't have the flight instict developed yet, so if they're in the field with the "parent" deer out getting food and the tractors / harvesters come by, it can be legitimately dangerous.
You hear this kind of thing constantly, but it's such an absurd claim. Imagine being a property owner and having two choices: (a) having a property you own accrue value over time, and (b) the exact same thing as before, but also getting paid hard cash by renters. And the claim is somehow that you will, because of your landlord greed (?!) take the door with less money.

We need to have fewer conspiracy theories about landlords and immigrants, and we need to build more bloody houses.
GPT-3 is about the same complexity as a mouse brain; it did better than I expected…

… but it's still a brain the size of a mouse's.
The source: https://www.jchs.harvard.edu/son-2024-price-to-income-map

Explaining price to income ratio (the 1 to 10): https://data.oecd.org/price/housing-prices.htm
How could a code completion tool be made safe?

One natural response seems to be “it should write bug-free code”. This is the domain of formal verification, and it is known to be undecidable in general. So in this formulation safe AI is mathematically impossible.

Should it instead refuse to complete code that can be used to harm humans? So, it should read the codebase to determine if this is a military application? Pretty sure mainstream discourse is not ruling out military applications.
> I don't know how you'd define non-trivial javascript in a way that couldn't be circumvented.

One approach would be to start out with the interpreter only with extreme throttling. Then to remove the throttling and enable the JIT you'd need explicit permissions.
You can get a quad core U74 1.5 GHz RISC-V SBC for $40 -- the Milk-V Mars. Or $34 for the Compute Module version. Or $5 for the Milk-V Duo with 1.0 GHz single core and 64 MB RAM, which is more appropriate for many embedded uses and still runs Linux (with a 2nd 700 MHz 64 bit RISC-V microcontroller core for real-time tasks)

> It wasn't too long ago that you paid $2k for a 4 core U54 SoC with minimal peripherals

The HiFive Unleashed was never $2k. The standard price was $999, and the first batch of preorders (which I got one of) was $1199.

It indeed was lacking in peripherals, with only 8 GB RAM, an SD card, and gigE interfaces natively, but an FPGA Mezzanine connector that allowed turning it into a full PC using a standard Xilinx FPGA dev board, or the much cheaper custom MicroSemi expansion board.

But if you didn't mind booting from SD, SSHing/X in, and mounting storage from your PC using NFS (etc) then you could do a lot of software development with the bare $999 board.
Sorry I didn’t mean GitHub Copilot. Code generation is definitely one of the better use cases for AI. I meant the “Copilot” brand that Microsoft has trotted out into pretty much everyone of its products and rolled together in this generic “Copilot” app on windows.
It's not even about student loans. A group of students can always outbid the average family for housing. They need less space per person, because it's a temporary phase of life and most of their activities are elsewhere. And because students must afford studying and living on their own, their income per person needs to be on the same level as for the average family with kids.
This will _eventually_ get phased out with recent changes, but only as the owners die off. You can still pass on a residence to an heir but they have to actually live in it (within 1 year of you dying, IIRC).
US has plenty of world-class arable land though, that’s why it’s world’s largest food exporter.
I noticed that for a while, YouTube heavily prioritized positive comments. This seemed like an excellent thing for everyone. It seems to have changed recently but I could be wrong.

LinkedIn also sorts comments by a nebulous "Most relevant" that never makes sense. It won't even list the subcomments in order.

In my opinion, reddit does it best by sorting one way and letting you change it.
Thanks to modern capitalism, there's no such thing as a (localised) extreme abundance. Extremely fertile land will be bid up, until it's productivity per-dollar-value will be equivalent to other land.

So we will always have incentives for innovation.

(I specifically say 'localised', because on a global level we are living in extreme abundance by historic standards.)
And then realising you don't actually know which person is "average" and how smart they are.
Interesting. Can you point me to further reading on essential heavy metals in eukaryotes and what is understood about the the dietary levels needed?
LOL nah, mate’s just Australian
This is why I am very sceptical about UBI.
Open-source, except for the "new framework used to make Loop's settings window", so don't expect to build from source.

https://github.com/MrKai77/Loop/issues/406
I don't think that is the goal of this blog. I think he is bragging a bit because he is afraid people will ask: "Who is this nobody that talks about AI as if he knows anything about it?"
He is trying to qualify himself to give this opinion. He uses a hyperbolic style.
I for one like it. But I like style and care less about the background of people to be honest. I think a good analysis is a good analysis regardless of who makes it.
50% population growth over 40 years is far from "crazy". Especially considering that most of the USA is empty.
Americans not getting Aussies is the best part of this thread
I agree, LLM are interesting to me only to the extent that they are doing more than memorisation.

They do seem to do generalisation, to at least some degree.

If it was literal memorisation, we do literally have internet search already.
Oldest white wine in the world found in a first-century tomb in Spain
>I assume that anyone who has ever typed in import tensorflow is a scumbag

That's true, decent people write import torch.
It drops even more today...it seems not caused by some optimization
Evolutionary speaking, being tasty and able to produce milk for human consumption has been an extremely successful strategy for cows.

Of course, the individual cow might (or might not!) disagree.
Replacing 20% of jobs in, say, 10 years wouldn't be that unusual [1]. It can mean growing prosperity. In fact, productivity growth is the only thing that increases wealth overall.

It is the lack of productivity growth that is causing a lot of extremism and conflict right now. Large groups of people feel that the only way for them to win is if others lose and vice versa. That's a recipe for disaster.

The key question is what happens to those who lose their jobs. Will they find other, perhaps even better, jobs? Will they get a piece of the growing pie even if they don't find other jobs and have to retire early?

It's these eternal political problems that we have to solve. It's nothing new. It has never been easy. But it's probably easier than managing decline and stagnation because at least we would have a growing pie to divvy up.

[1] https://www.britannica.com/money/productivity/Historical-tre...