skysight-inc/HackerNews huggingface dataset:
you missed what the article was talking about

yeah, they're available by search if you know what to look for; that's the same as asking the store employee if they carry X, as opposed to seeing it as you browse the aisle

> A more apt analogy is a grocery store with a dedicated section for store-brand goods only

No, that's not the right analogy and not what Spotify is doing. That would be like having a section for "undiscovered artists" on the front page where you can browse through them, alongside another section for "Spotify-sponsored artists" which you can also browse through.

The point of the article's argument is that unless you know you want Artist X and search for them, you're not going to come across them because they're not being added to Spotify playlists and content discovery mechanisms (obviously you can add them to your own playlist manually). You'll instead come across the content that Spotify owns, allowing it to keep a greater share of revenue and pay less to artists trying to distribute their music through its platform.
Yes, "objective" benchmarks can be gamed, real-life tasks cannot.
I think you're missing the point.
Offshoring (moving the job of, say, a Canadian engineer to an engineer from Belarus) has a one time cost drop, but you can't keep driving the cost down (paying the Belarus engineer less and less). If anything, the opposite is the case, since global integration means wages don't keep diverging.

The computing cost, on the other hand, is a continuous improvement. If (and it's a big if) a computer can do your job, we know the costs will keep getting lower year after year (maybe with diminishing returns, but this AI technology is pretty new so we're still seeing increasing returns)
Thank you for spelling out my argument for me: regardless of situation, the cost of labor has nothing to do with it.
I think it would make sense to evaluate if the the 'surgical' rewrites mentioned in the article can be carried out by or assisted by an LLM based process.
But the cost of electricity is not falling—it’s increasing. Wholesale prices have decreased, but retail rates are up. In the U.S. rates are up 27% over the past 4 years. In Europe prices are up too.
The person upthread was saying that as long as someone wants a house built and someone wants a grandma driven around unemployment can't happen.

Unless nobody wanted either of those things done during the depression that's clearly not a very good mental model.
Or melted down to make spears and helmets.
The models you've interacted with have guardrails. If you fine-tuned an LLM with the goal of "convince people you are human" (effectively the opposite of what the major players are doing with their fine-tunes), I am very confident even you would be fooled.
I never said that and that’s an unreasonable interpretation of what was written
TLDR there's a database but POS systems just write events to it, not read. The article doesn't discuss checking balances, or preventing overdraw when multiple purchases happen at the same time. It mentions event durability on the POS, but the solution is hot backups.

Edit: Maybe I got this wrong. Maybe the point is that each POS communicates directly with the payment processor, in which case the above applies but wrt inventory instead of balances, and the mention of event sourcing is non sequitur. Also there's still a database, it's just the payment processor's database.
you can configure it in the settings
That explains it in a much better way.
Always found it interesting that "stablecoins" backed by inflationary fiat currencies such as USD are popular but not ones backed by assets with relatively stable purchasing power, such as silver. Suppose USD has a good marketing department.
Pour-over funnels have glass and ceramic options, and the coffee turns out quite tasty.
How do you have anecdotal opinion on this o3 model that hasn’t been publicly released yet?
Google's philosophy seems to be that intrusive tracking and behavioral advertising are OK as long as they only happen on the user's device.

The result is a worst-of-both-worlds: To an end user, it will still feel as if you're being tracked, with ads following you around, etc, but no worries, your privacy is safe because the advertiser doesn't have access to the data...
dnf install python3-gdal?
I like that and wish that was the new resume practice since I'd bet someone could get a lot more signal from hearing me talk about why I'd be a good fit rather than ATS screening my PDF out

The bad news is that I bet listening to 50+ video pitches is more exhausting than reading 50+ PDFs
what do you mean by "grooming" here?
> The second favorite was a TSR NG viewer, can’t remember the name.

I know what a TSR is, but what's an "NG viewer"?
You have just found a job for yourself: resistance fighter :-) Kidding aside, yes, if the AGIs priority becomes to eliminate human inefficiencies with maximum prejudice, we have a problem.
"Tesla said that the issue would be addressed with an over-the-air software update, a solution the company frequently uses to resolve vehicle problems."

I lose respect for news organizations when they don't distinguish this in the title.

"Telsa Recalls 700k vehicles via software update..."

Sort of like over-reporting EV fires, and not reporting ICE fires ever.
This is interesting to consider, but I think the flaw here is that you'd need a "total mobilization" level workforce in order to build this mega datacenter in the first place. You put one human-hour into making B200s and cooling systems and power plants, you get less than one human-hour-equivalent of thinking back out.
They're charging $6000 for parts worth about $3400 so I would suggest just building it yourself, or if you must get it pre-built then choose a reputable PC manufacturer rather than a company which mainly sells desks and chairs. It's also a bad time to be buying a 4090 from anywhere, the 5090 is right around the corner.
Thanks for the heads-up on the bugs! Super weird on the MacOS download…it’s iOS only so I’m
surprised it’d let you download it on Mac.

Thanks for letting me know about the connection bugs! Will hopefully have an update for that ASAP
I'll mention it briefly here in case anyone missed the answer: short-term tax revenues.
I guess I get to brag now. ARC AGI has no real defences against Big Data, memorisation-based approaches like LLMs. I told you so:

https://news.ycombinator.com/item?id=42344336

And that answers my question about fchollet's assurances that LLMs without TTT (Test Time Training) can't beat ARC AGI:

[me] I haven't had the chance to read the papers carefully. Have they done ablation studies? For instance, is the following a guess or is it an empirical result?

[fchollet] >> For instance, if you drop the TTT component you will see that these large models trained on millions of synthetic ARC-AGI tasks drop to <10% accuracy.
Great idea! I’ll work on integrating swimming, cycling, and more. Really helpful feedback and thanks for trying it out!!
Or the test wasn't testing anything meaningful, which IMO is what happened here. I think ARC was basically looking at the distribution of what AI is capable of, picked an area that it was bad at and no one had cared enough to go solve, and put together a benchmark. And then we got good at it because someone cared and we had a measurement. Which is essentially the goal of ARC.

But I don't much agree that it is any meaningful step towards AGI. Maybe it's a nice proofpoint that that AI can solve simple problems presented in intentionally opaque ways.
The machines will plant, grow, and harvest the food?
Do the plumbing?
Fix the wiring?
Open heart surgery?

We’re a long way from that, if we ever get there, and I say this as someone who pays for ChatGPT plus because, in some scenarios, it does indeed make me more productive, but I don’t see your future anywhere near.

And if machines ever get good enough to do all the things I mentioned plus the ones I didn’t but would fit in the same list, it’s not the ultra rich that wouldn’t need us, it’s the machines that wouldn’t need any of us, including the ultra rich.

Venezuela is not collapsing because of automation.
If an AGI can outclass a human when it comes to economic forecasting, deciding where to invest, and managing a labor force (human or machine), I think it would be smart enough to employ a human front to act as an interface to the legal system. Put another way, could the human tail in such a relationship wag the machine dog? Which party is more replaceable?

I guess this could be a facet of whether you see economic advantage as a legal conceit or a difference in productivity/capability.
I know it's been a long time, but alongside the horsemen of atheism and reading the actual bible, The Teaching Company is where I got so much of my education.
Practically if you live life fearing a 26 red cards event something like e-15, you'd never leave the house and leave your money under your bed
Ok, well I’m not going to worry about my job then. 25 years ago GeoCities existed and you didn’t need an engineer. 10 year old me was writing functional HTML, definitely not an engineer at that point.
A couple reasons why I am not scared of AI taking my job:

1. They are trained to be average coders.

The way LLMs are trained is by giving them lots of examples of previous coding tasks. By definition, half of those examples are below average. Unless there is a breakthrough on how they are trained any above average coder won't have anything to worry about.

2. They are a tool that can (and should) be used by humans.

Computers are much better at chess than any human, but a human with a computer is better than any computer. The same is true with a coding LLM. Any SWE who can work with an LLM will be much better than any LLM.

3. There is enough work for both.

I have never worked for a company where I have had less work when I left than when I started. I worked for one company where it was estimated that I had about 2 years worth of work to do and 7 years later, when I left, I had about 5 years of work left. Hopefully LLMs will be able to take some of the tedious work so we can focus on harder tasks, but most likely the more we are able to accomplish the more there will be to accomplish.
> Suddenly I remember this movie from the 90s where people drugged themself with some kind of minidisc.

With Ralph Fiennes. I think that, although strange, it's actually an underrated movie.
Just to be clear — your position is that the cost of inference for o3 will not go down over time (which would be the first time that has happened for any of these models).
I agree completely. This is a fundamentally different change than the ones that came before. Calculators, assemblers, higher level languages, none of these actually removed the _reasoning_ the engineer has to do, they just provide abstractions that make this reasoning easier. What reason is there to believe LLMs will remain "assistants" instead of becoming outright replacements? If LLMs can do the reasoning all the way from high level description down to implementation, what prevents them from doing the high level describing too?

In general, with the technology advancing as rapidly as it is, and the trillions of dollars oriented towards replacing knowledge work, I don't see a future in this field. And that's despite me being on a very promising path myself! I'm 25, in the middle of a CS PhD in Germany, with an impressive CV behind me. My head may be the last on the chopping block, but I'd be surprised if it buys me more than a few years once programmer obsolescence truly kicks in.

Indeed, what I think are safe jobs are jobs with fundamental human interaction. Nurses, doctors, kindergarten teachers. I myself have been considering pivoting to becoming a skiing teacher.

Maybe one good thing that comes out of this is breaking my "wunderkind" illusion. I spent my teens writing C++ code instead of going out socializing and making friends. Of course, I still did these things, but I could've been far less of a hermit.

I mirror your sentiment of spending these next few years living life; Real life. My advice: Stop sacrificing the now for the future. See the world, go on hikes with friends, go skiing, attend that bouldering thing your friends have been telling you about. If programming is something you like doing, then by all means keep going and enjoy it. I will likely keep programming too, it's just no longer the only thing I focus on.

Edit: improve flow of last paragraph
Yes, append only architecture
My point was more re: "refusing to charge money" is an ironic criticism of WP when comparing to Typepad, a service whose owners are outright refusing to accept new paying users... and who have a pop-up directing prospective new users to instead use WordPress hosting on BlueHost (which is owned by the same parent company who bought Typepad).

No new users means Typepad's revenue will only ever shrink, which bodes poorly for the service's future. Having a massive intricate Perl codebase doesn't help either – it was designed to scale relative to aughts-era hardware, for a much larger audience than it currently has. Its future was already bleak in 2010 when Six Apart (its original owner) was acquired by VideoEgg, which came about largely because WordPress/Automattic absolutely won out over Movable Type and Typepad for blogging software market share.

As a former Six Apart employee, I'm glad that Typepad is still around 14 years after all that, but I'd be surprised if it continues to exist for much longer.
H-1B Specialty Occupations
From the uscis site for H1-B I'm not sure where 50+% more like 75+% meet this barrier.

This is not zenophobic. We have seen Canada realizing they dug themselves into a hole acting as the slush fund for FAANG near BS.

At what point does "specialized knowledge" come to enforcement. "Founders" are different than what the majority of large scale employers are doing.

Worked at Borland in 1992/4, Netscape in 1996/7, visa holders then were 10x the job mill diplomas of now.

So how do we end Corp America working the market in their favor?

Elmo having 'Rumps ear? Yeah, that will be good for america. Twitter basically fired everyone but visa bound people.

The occupation requires:

Theoretical and practical application of a body of highly specialized knowledge; and
Attainment of a bachelor's or higher degree in the specific specialty (or its equivalent) as a minimum for entry into the occupation in the United States.

The position must also meet one of the following criteria to qualify as a specialty occupation:

Bachelor’s or higher degree or its equivalent is normally the minimum entry requirement for the particular position
The degree requirement is common to the industry in parallel positions among similar organizations or, in the alternative, the job is so complex or unique that it can be performed only by an individual with a degree
The employer normally requires a degree or its equivalent for the position
The nature of the specific duties is so specialized and complex that the knowledge required to perform the duties is usually associated with the attainment of a bachelor’s or higher degree.*

For you to qualify to perform services in a specialty occupation you must meet one of the following criteria:

Hold a U.S. bachelor’s or higher degree required by the specialty occupation from an accredited college or university
Hold a foreign degree that is the equivalent to a U.S. bachelor’s or higher degree required by the specialty occupation from an accredited college or university
Hold an unrestricted state license, registration, or certification that authorizes you to fully practice the specialty occupation and be immediately engaged in that specialty in the state of intended employment

Have education, specialized training, and/or progressively responsible experience that is equivalent to the completion of a U.S. bachelor’s or higher degree in the specialty occupation, and have recognition of expertise in the specialty through progressively responsible positions directly related to the specialty.*
>> Kinda interesting, every single CS person (especially phds) when talking about reasoning are unable to concisely quantify, enumerate, qualify, or define reasoning.

Kinda interesting that mathematicians also can't do the same for mathematics.

And yet.
Piezoelectric Generators
Blaming OpenAI for progress is like blaming a calendar for Christmas—it’s not the timing, it’s your unwillingness to adapt
Kinda expensive though.
~200,000 m/s is unfathomably fast.

It's about 110,000 fathoms per second.
They used to make Apple’s CPUs in the past. I don’t think that’s the case anymore.
> Like they've been making it all this time?

Yes exactly like they’ve been doing this whole time, with the cost of running each model massively dropping sometimes even rapidly after release.
I trust 1Password. They are very open about how they encrypt data and how the key is derived. I like how they store your encrypted data locally in a SQLite DB. My only real concern is with storing passkeys because they cannot be stored locally yet and you are granting 1Password control over your access to any site you need a passkey stored with them. They are working on a passkey exporting process. I would feel better if I could have the same Passkey stored by 1Password and Azure and Google.
Kind of Blue was smashed out in two sessions. A Love Supreme in one
I don't get the Far Side. Could a Cliff Clavin chime in ?
Meh, you know people are just going to throw LLMs at it and they'll be fine with it hallucinating correctish code by the ton-load. But I agree that they are going to have tough time making idiomatic Rust from random C. Like I said, correct-ish.
In case you wondered if there is a raycaster written in MS Batch:

https://github.com/nTh0rn/batch-raycaster
Intelligence has not been LLM's major limiting factor since GPT4. The original GPT4 reports in late-2022 & 2023 already established that it's well beyond an average human in professional fields: https://www.microsoft.com/en-us/research/publication/sparks-.... They failed to outright replaced humans at work not because of lacking intelligence.

We may have progressed from a 99%-accurate chatbot to one that's 99.9%-accurate, and you'd have a hard time telling them apart in normal real world (dumb) applications. A paradigm shift is needed from the current chatbot interface to a long-lived stream of consciousness model (e.g. a brain that constantly reads input and produces thoughts at 10ms refresh rate; remembers events for years and keep the context window from exploding; paired with a cerebellum to drive robot motors, at even higher refresh rates.)

As long as we're stuck at chatbots, LLM's impact on the real world will be very limited, regardless of how intelligent they become.
Self-chosen goal, impetus for AGIs is a fascinating area. I'm sure there are people working on and trying things in that direction already a few years ago. But I'm not familiar with publications in that area. Certainly not politically correct.

And worrysome because school propaganda for example shows that "saving the planet" is the only ethical goal for anyone. If AGIs latch on that, if it becomes their religion, humans are in trouble. But for now, AGI self-chosen goals is anyone's guess (with cool ideas in sci-fi).
> Why people stopped to care that their data - their voice, their meeting voice are processed on servers somewhere?

I never cared in the first place. Plenty of things in the world worth caring about — this is not one of them to me.
photography is not dead

It very nearly is. I knew a professional, career photographer. He was probably in his late 50s. Just a few years ago, it had become extremely difficult to convince clients that actual, professional photos were warranted. With high-quality iPhone cameras, businesses simply didn't see the value of professional composition, post-processing, etc.

These days, anyone can buy a DSLR with a decent lens, post on Facebook, and be a 'professional' photographer. This has driven prices down and actual professional photographers can't make a living anymore.
> Then people would prefer links that didn't look like gobbledygook

Well, I can say with relative confidence that people prefer those links but _marketers_ prefer hxxps://awsmail.me/b64trustmebro/8675309== that leads who fucking knows where
> This gives a glimpse into how much various crap could end up installed as an Int 2F handler:

Lot's of crap in INT 21 too: https://fd.lod.bz/rbil/zint/index_21.html (on the whole I like this HTMLified version of Ralf Brown's Interrupt List better)

But I suppose they invented INT 2F to discourage people from doing that to INT 21.

And then Ralf Brown also proposed an alternative multiplex interrupt, INT 2D: https://fd.lod.bz/rbil/interrup/tsr/2d.html#4258
Why is this cool?
Robots are going to go hand in hand with AI. Pretty sure our problems right now are not with the physical hardware that can far outperform a human already, it’s in the control software.
Interesting. Was that after you called them or they called you?
There are now very visible examples of drug use consequences in pretty much every Downtown of a large city.
I really found it interesting that in the engineered society of Brave New World, everyone got a drug. I guess my personally opinion is that I disagree with you, that in a world where you know about drugs, drugs are a sort of need.
"The proof is trivial and left as an exercise for the reader."

The technical act of solving well-defined problems has traditionally been considered the easy part. The role of a technical expert has always been asking the right questions and figuring out the exact problem you want to solve.

As long as AI just solves problems, there is room for experts with the right combination of technical and domain skills. If we ever reach the point where AI takes the initiative and makes human experts obsolete, you will have far bigger problems than career.
Those are all true and fair points, but they illustrate that most people value freedom and autonomy at a very high dollar amount.
What would you need to see to call it useful?

To give you an example– I've used it for legal work such as an EB2-NIW visa application. Saved me countless of hours. My next visa I'll try to do without a lawyer using just LLMs. I would never try this without having LLMs at my disposal.

As a hobby– And as someone with a scientific background I've been able to build an artificial ecosystem simulation from scratch without programming experience in Rust: https://www.youtube.com/@GenecraftSimulator

I recently moved from fish to plants and believe I've developed some new science at the intersection of CS and Evolutionary Biology that I'm looking to publish.

This tool is extremely useful. For now– You do require a human in the loop for coordination.

My guess is that these will be benchmarks that we see within a few years: How good an AI coordinate multiple other AIs to build, deploy and iterate something that functions in the real world. Basically manager AI.

Because they'll literally be able to solve every single one shot problem so we won't be able to create benchmarks anymore.

But that's also when these models will be able to build functioning companies in a few hours.
>The purpose if insurance is not to help us pay for things that we literally do not have enough money to pay for. It does help in that situation, but...

56% of Americans cannot cover a $1000 emergency expense. Insurance absolutely is a lifeline that most people need to avoid financial ruin.

Edit: My source for the 56%: https://www.cnbc.com/2022/01/19/56percent-of-americans-cant-...

Which downthread was pointed out that it was derived from this survey: https://www.bankrate.com/banking/savings/emergency-savings-r...
Why?

https://en.wikipedia.org/wiki/Naked_mole-rat
What did you do? Can you elaborate?
> Rust’s ownership model forbids things like doubly linked lists, which C programs use a lot.

It’s literally in the standard library

https://doc.rust-lang.org/std/collections/struct.LinkedList....