skysight-inc/HackerNews huggingface dataset:
I remember when this one came out and letting my computer spend insane amounts of time rendering images. There is something about POV-Ray, its limitations and interface (or lack of) seems to make it excel at this sort of half real impressionist style while never entering the uncanny valley. Or maybe POV-Ray just attracts people who work towards that style. I miss the POV-Ray community and spending weeks coding an image and 14 hours rendering an image just to find out you made one tiny stupid error and have to do it all over. Last I used it I had a 1.8ghz single core processor, I wonder what it is like on a modern computer.
We can and should make the legal system cheaper and more expedient, we lost our right to a speedy and fair trial a long time ago.

I do completely agree the plan would require a huge saccrafice and risk for quite a few people and that's a terrible thing to ask for. Unfortunately that's sometimes the only way to enact change when the system is so massive and rigged against us.

Tearing down and replacing the legal system in one shot will never happen and comes with its own problems and unknown damage. Using the system as-is against itself at least has a chance. I'd argue it wouldn't take too many cases before DAs realize they're putting massive amounts of effort into petty drug cases, as an example, that continue to lose in court simply because the jury isn't interested in punishing their peers for what msy technically be illegal in that case.
He's also angry because now his job has completely changed. He enjoyed spending his time making 3D models. Now that expectations have shifted because of these tools he has to use them. He went from making things from scratch to writing prompts instead.
>Everybody knows its meaning.

Hard disagree. Even in communities who like to throw the term a lot, they get into discussion about which ones are the real alphas and thus they invented stuff like “sigma”.

Real life usage is really diffuse and mostly like the meme version of the “chad”, seems to be about who I personally like or like to be.
It may have very little connection with actual healthcare. May be not related to it at all. American healthcare isn't bad - pricey af, but not bad. It's everything else. Whenever there's anything that makes money, it usually does so by fuelling addiction, depression, despair, fear and anxiety.
>Natural intelligence has not been understood because if our brains were simple enough that we could understand them, we would be so simple we couldn't. This explains why it has not been reproduced

I don't believe that it works this way, for two reasons. One, the logic would seem to work the other way as well, if our brains are so sophisticated that they make natural intelligence possible, then we should be so intelligent that we would have the means to understand them. (At the end of the day I think this is a case where analogies aren't good enough to settle it one way or the other.)

But secondly, the overall architecture of the brain can be understood in terms of underlying principles that are reapplied over and over, and so we can conceivably 'compress' the totality of information about the brain's architecture to the principles that explain why it functions. Granted we haven't done that yet and that could be extremely difficult, but, I don't think it's forbidden by necessity or by some transcendent principle. I would say that I agree both with your reply about RNA experiments being feasible, and I share your confusion as to how any of that was relevant.
Sure, as a whole the industrial revolution might have created more jobs. But what about individuals? Are we expecting some dude in his fifties whose job is going to be taken away by AI to switch careers just like that? That stuff is hard enough when someone is in their thirties. And in my country the unemployment rate is already 13%, there’s hundreds of candidates for any decent job opening.
I can't name a transformative technology that has remained concentrated into a few powerful companies long-term. Can you?

Besides that, it doesn't seem to me there's a natural monopoly available in this landscape. All natural monopolies have some kind of natural physical barrier precluding other companies from forming. What would the natural physical barrier be in the case of... machine learning? Or LLMs?
The F15-EX has been in the news recently. Interesting comparison and contrast with F35:

https://www.thedrive.com/the-war-zone/buying-just-80-f-15exs...
Even if they weren’t directly defunded, they were probably demoralized, and likely lost good staff during the ‘ACAB’ period. Would you really want to remain a cop when ‘all cops’ are suddenly so viciously hated by so many in the media, politics, and activism?
That is one very depressing looking building! As if it was built in North Korea!
The US would be unanimously condemned if that would happen, but that reasoning is dependent on Russian propaganda that this war is because of NATO provocation. If that was the case, why haven't Russia invaded Finland? Why does Putin say that it's of no consequence that Finland and Sweden has applied for NATO membership?

This war is not about Russia not wanting NATO or EU on its borders. It started in 2014 when Ukraine was about to start moving closer to the rest of Europe, and further from Russia. Russia thinks Ukraine belongs to them, it's nothing but pure imperialism.

The same thing is happening in Belarus by the way. Lukasjenko is propped up by Putin, and in reality they're basically part of Russia now, with Russian military units and even nuclear weapons.
Asking: "Describe to me a completely new and credible explanation on why space-time is shrinking"

It gives me:
Title: Isotropic Space-Time Contraction: A Novel Hypothesis for Shrinking Space-Time

Abstract: This paper introduces a new and credible explanation for the phenomenon of shrinking space-time, which we call "Isotropic Space-Time Contraction" (ISTC). ISTC postulates that space-time contracts uniformly in all directions due to the continuous creation of dark energy in the quantum vacuum. This process results from the interaction between dark energy and the cosmic fabric, leading to a constant reduction in the scale of space-time.

I think it can create very very very interesting ideas or concepts.
Agency is only half of the equation. The other half is opportunity. With Industrial Revolution, horses had neither. With AI revolution, people may retain agency, but I doubt there will be many opportunities available.
Apparently OpenAI has some excellent developer relations and marketing people too. Is this guy even a programmer at all? His bio says "WSJ best selling novelist, Edgar & Thriller Award finalist, star of Shark Week, A&E Don’t Trust Andrew Mayne, creative applications and Science Communicator at OpenAI." so maybe not? This blog seems to have useful OpenAI related information, it's odd that it's on this guy's personal blog instead of the OpenAI website.

This morning I feel oddly compelled to play the fool so here are some near/medium term thoughts on where this may be going (worth less than what you paid for them):

1. The most important ChatGPT plugin is going to end up being the one that invokes itself recursively. The autoregression approach seems to be severely limiting what these models can do by limiting their ability to think without speaking. Although a few months ago I thought the obvious way to fix this was to train the model to emit special sort of "bracket" tokens that would be deleted by the driver once the inner thought completed, leaving only a sort of "result" section, the GPT-as-a-GPT-plugin effectively does the same thing

2. Whilst the first biggest win from the plugin will be "sub-thoughts", the next biggest will be training it how to dispatch multiple sub-thoughts in parallel. GPT already knows how to break a complex problem down into steps, but is still constrained by context window size and inference speed. Once it is taught how to split a problem up such that multiple independent inference sessions are able to work on it in parallel, it'll become feasible to make requests like "Build me a video game from scratch using Unreal Engine, set in the world of Harry Potter, about the adventures of a character named X" etc and it'll end up dispatching a massive tree of GPT sub-instances which end up working on the independent parts like character generation, writing the Unreal C++, prompting Midjourney and so on.

Parallel recursive LLMs are going to be much more awesome than current LLMs, and I mean that in both senses of the word (cool, awe-inspiring). In particular, this will allow us to pose questions like "How can we cure cancer?".

3. OpenAI need a desktop app, pronto. Whilst the cloud model can take you some way, the most valuable data is locked behind authentication screens. The cloud approach faces difficult institutional barriers, because data access inside organizations is oriented around granting permissions to individuals even when they work in teams. Giving a superbrain superuser access doesn't fit well with that, because there's no robust method to stop the AI immediately blabbing business secrets or PII to whoever tickles it in the right way. That's one reason why the current wave of AI startups is focused on open source technical docs and things. If ChatGPT is given tool access via a desktop app running on the end user's computer, it can access data using the same authentication tokens issued to individuals. This also neatly solves the question of who is accountability for mistakes: it's the user who runs the app.

4. Sandbox engineering is the new black.
> What made them sad is they no longer have the joy and satisfaction of developing those models in a 3D rendering software. This is what they trained for.

I think the point is that this artist can still experience that joy, but they just can’t get paid for it anymore. That is indeed sad, but that’s life.

On the other hand, maybe in a post scarcity society, this artist won’t have to work to survive, and they can do all the 3D modeling they want without having to worry about rent and food.
> As though no progress will ever be made from this current moment in time.

The issue is that the folks promoting chatGPT are for the most part incredibly dishonest. E.g. this entire blog post is about the AI having written a sales email, with zero written about how well it actually converted. The author is claiming that the AI can do a superhuman amount of work in 30 minutes, but we don't actually know if it did any work at all.

How can we even know whether OpenAI is making progress if we don't know how good it is in its current state? Back when Go AI was far less good than even the average club player, we at least knew what rank the AI was playing at. Whereas right now the ChatGPT equivalent is basically that it's putting stones on the board in a way that looks somewhat like a real game, but you're not allowed to know what level it's playing at.
Exactly, because Google search isn't a tool.
Where do you think they trained ChatGPT from?
I was under the impression that the vast majority of merchants do this though...

And any that don't still need to keep records for tax purposes, and the authorities could still request that anytime and without your knowledge.

It is frequent that news reports say "attacked with a hammer purchased by the defendants credit card earlier the same day". So it appears the facility to search card payments is fairly widely used.
That could all very well be true, but in that case it feels like most Republican lawmakers have arrived at the right conclusion by accident.
You don't mean conservative, you mean neo-fascist. The GPT models have been generally happy to expound upon minimizing the size of government and protecting personal liberties. Where they draw the line is when they are asked to deny people's humanity.
The "Open Location Code" is often mentioned on Hacker News, but is sadly neither open, nor a location code.

To pick one example, if you go to 0°06'40.6"S 28°56'27.0"E
(-0.111271, 28.940829) in Google Maps, it'll give the Open Location Code "VWQR+F8W Maipi, Democratic Republic of the Congo", or some variation thereof, depending on your local language.

The most significant bytes, "Maipi, Democratic Republic of the Congo", are obviously not a location code, but a place name, and thus cannot be decoded at all.

Moreover, if you go to OpenStreetMap and look up "Maipi", it returns three places in Indonesia, and none in DR Congo. So even using a location service plus the algorithm could land you on the wrong continent.

The "Open Location Code" is essentially only usable as a search key for Google Maps. "Go look it up on Google" isn't a location code, it's advertising.
The point is about which companies are worth investing in, not which companies benefit the world the most. Take biotech, where there is a lot of 'innovation' but you will generally lose your shirt investing in such companies.

The other point to make is that innovation tends to either be not obvious or too obvious. Innovation at Tesla is 'too obvious' and hence the company has very high valuations and a low margin of safety for an investor. Amazon on the other hand had a lot of innovation in their business model but this wasn't very obvious to an outsider.
"I disapprove of what you say, but I will defend to the death your right to say it."

:(
It's the same for every distro. Millions of 5+ year old Ubuntu LTS boxes everywhere. End of life this April. And predictably people will just double down, and keep using an unsupported thing, because upgrades are scary/hard/etc.
I think "home prices are going up everywhere" means actual closed transaction sale prices are going up, not listing prices.
You're missing a huge market that just opened up. Writing "plugins" for ChatGPT. Given an API GPT-4 can now use it to complete various tasks. They've shown a demo of it using a search command and a calc command but there is no limit to what these could be. Better dust off those CLI skills since you'll mostly be dealing with text input and output.
My thinking is that it relates to organizing concepts into categories, which can challenge a system to prove how deep it is capable of going into abstract associations, and searching through a full range of possible abstract associations.

I suspect ChatGPT probably can be reasonably effective at understanding, or pretending to understand numerous other visual concepts.
The "compute" market is about to be disrupted[0].

AMD might be right not to put effort into manually optimizing for the old approach.

0. https://www.youtube.com/watch?v=yHrdEcsr9V0
100% agree - I'm not saying it's easy or risk free, it would take a huge sacrafice from some. What's the alternative though, tear the system down and replace it or do nothing?

If people vocally opposed the legal system and rallied around the idea that juries decide a person's fate rather than a DA, it might at least be less risky to go to trial. A BLM-scale movement for legal reform based on using the system against itself would go a long way to helping people at least make the decision whether they are willing and able to take the risk of going to trial.
Looks related to this: https://github.com/yqrashawn/GokuRakuJoudo
Very smart people join cults all the time, and it's quite well understood that you don't get them to leave a cult by showing them how irrational it is.
Somehow I doubt it - I would honestly consider it a feature if I could look on my credit card statement and have an explanation around why I spent $22 at 7/11 on the 12th.
Nothing is "critical" about the next six months. In fact, it's possible nothing much will happen in the next six months, if Ukraine opts to spend it training the >100k troops it just called up during the late fall and winter, waiting for the armour from the West to be delivered, and building up a stockpile of ammo. Ukraine has this choice because Russia just exhausted its offensive capability in a mid-winter offensive that didn't accomplish much and has stalled out. Russia is spent as an offensive force until the mid-summer at the very earliest.

If China decides to supply Russia, it won't be in the quantities sufficient to make much of a difference, because they don't wish to trigger significant retaliatory sanctions, certainly not right now when the Chinese economy is in a vulnerable state of coming out of the COVID-era funk. China significantly underproduces Western countries in terms of military industrial complex, quantity but especially quality. I don't want to pull numbers out of thin air but it's Nx, N > 1.
My experience with Copilot is the other way around. I spend time writing my types/data structures, my functions, then Copilot tends to easily spit several variations of the test by just me giving it the name of the test.
The first rule of jury nullification is you don't talk about jury nullification
Everyone seems to think their particular niche is going to be the last to be commoditised. Yes, you've saved some time marketing your product. But your product is just going to get replaced by equally lazy people who type "write a business simulation to teach my students leadership" into ChatGPT. And then those people are going to get replaced by students not going to business school and just asking ChatGPT for a business curriculum directly. Except those people aren't going to get jobs because all the actual businesses are using ChatGPT instead of employees. Except those businesses' products also just got commoditised so they can't pay their ChatGPT bill.

ChatGPT is not a tool with which you can build a bigger moat. Huge amounts of money are going to be made in the short term, but in the long term, I think your work being amenable to aid or replacement by LLMs is an indication you should be looking for higher ground, even if it's just to survive some plausible AI Winter.
Because almost everyone needs shoes, shoes are still made by hand and custom orders would be expensive in this model, very few people can afford custom shoes, and even if you could, feet grow for a while and out of the box shoes work for almost everyone.

Also, ordering custom anything to your body is an ordeal. Most folks wouldn't be okay with waiting weeks for shoes that don't fit them right only to do a back and forth for weeks trying for a perfect fit.

that said, you can absolutely buy custom shoes and trainers if you mind them not being from Big Sneaker. Usually starts at US$400 and takes about six to eight weeks to get.
I've had experience lately of getting GPT4 to output some code, I notice there's a bug, I point out the bug (not even 'it's at this line with this variable', but just that it exists) and, yes, it does fix successfully fix it. So, yes, I think that's likely.
> really assumes that the rich traveling are some how more meaningful

No, it assumes you care about reducing air travel more than equality of access to it

> forcing most people to become vegans because meat becomes too expensive

Sounds...effective? It isn't what is happening, but taxing the hell out of meat would be a great lever to pull if you want to drive consumption away from it.

Outside of cost the only possible lever is rationing. Good luck with that one.
There is a problem with the URL. I think this is the correct one https://suor.github.io/blog/2023/03/26/ban-1-plus-n-in-djang...
I run an experimental service to turn web articles into plain text (No HTML) by prefixing the URL with 'txtifiy.it/'.

Doesn't work on all articles: https://txtify.it
Lebanon in confusion as daylight savings dispute deepens divisions
>so no, they certainly have not been able to make any use of them.

>This sounds extremely speculative.

My statement is less speculative than the parent's claim. Did Satoshi already receive 10s of billions $ of coins just for owning his keys? Yes.

Off-chain transactions and proof-of-keys based value transfer are far from exotic in the space we are discussing. Countless airdrops and fork coins have been sent to offchain wallets controlled by Satoshi using these two methods over the last 13 years.
Not sure CLI skills are relevant, seems like OpenAI is pushing for JSON rest apis. Maybe because that's what GPT-4 has seen more of.
Python: Everything Is Object
That sounds likely. I'm also wondering whether they're generated with extra hidden prompts, and whether they're generated independently or as a sequence that depends on the other input suggestions. Without knowing that, it's hard to evaluate how surprising any particular set of input suggestions is.
Then this implies that you’d maybe think differently if LLMs could have different inputs, correct?

Which they are currently doing. GPT-4 can take visual input.

I totally agree that humans are far more complex than that, but just extend your timeline further and you’ll start to see how the gap in complexity / input variety will narrow.
One exception: "modern" tidyverse users.

Astract example: a function that takes in a "bare" column name and later "embraces" it in a data frame context.

Concrete example: this function filters for c being nonzero, and uses lazy evaluation:

function (df,c) { df |> filter({{c}} != 0) }

That's an acceptable level of complexity for "not really programmer" R users to get something done. Whether or not they actually understand what they are doing under the hood? That's a different issue.
It’s not replacing a human, it’s replacing a keyword search.
I was hoping this would feature GPT-4 trying to distinguish between an LLM and a human pretending to be an LLM. If it were me, I'd switch focus and instead of asking "what is love?" ask complicated trivia questions like "what were the most important battles of the Boer War?" Could it distinguish between an LLM giving accurate information and a human bullshitting it? (Presumably yes). What if you told it the human had access to the web and time to compose a thorough answer, but the human would not use an LLM, could it still find a way to tell the two apart?
Summary of sparks of AGI in GPT-4
The latest paper from Microsoft research suggest that GPT-4 has sparks of Artificial General Intelligence. In particular, this is what they tested and learned. More details in my article.

- GPT-4 can use external tools with minimal instructions and uses their outputs appropriately
- Passes tech interview on LeetCode and potentially be hired as a software engineer
- GPT-4 created a working 3d game in zero-shot fashion in HTML.
- Common sense grounding
- Higher level math - got International Math Olympiad (IMO) question right
- Answered consulting estimation question or Fermi questions
- Managing calendar and email and browsing the web for information
- Theory of mind

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Those tools are completely unreliable at the moment. Don't trust the results.
There is "art" and there is "design". It feels like OP might be confusing the two.

The latter is about creative expression within the confines of constraints like time, money, function, etc.

The former is not.

Doing graphic design work at a commercial enterprise is a creative endeavour constrained by commercial realities.

Perhaps the OP just needs to accept that he is working in the real world. They should probably find a creative outlet that is creating art in addition to their design day job.
I guess the turning test won't cut it anymore, we should use the Voight-Kampff test.
I suspect that AI will become fairly good at bug-testing and fixing.

I would not be surprised to see AI testing and diagnostics, integrated into IDEs.

For example, UI testing. Right now, it's next to worthless, as it's basically scripting and screengrab analysis.

An AI tester can do a much better job of simulating a user, and analyzing the behavior of the app. Of course, it will be a real skill to set up the boundaries and heuristics for the testing, but it could be very cool.

I suspect that AI will also find a place in security; both in hardening and red-team testing, and in blackhat probing.