skysight-inc/HackerNews huggingface dataset:
I think you are under estimating the bar for quality content. There is already an endless stream of content mass produced, whether by automated mechanisms or middling creators. You have to truly believe that epic, genre-defining works of art popular in mass media (not a generated static image but an entire movie or TV series) will be created by AI.

Also a lot of art is intertwined with the artist. The musician, actor, and comedian often have a public persona tied in with their creative output. An AI won’t be relatable in the same way.

I can buy mass produced beer at the grocery store. I can also pay 5x the price for artisanal craft beer from my local brewery. I appreciate the latter far more.
Private equity has been disrupting it for a while, that's why it's like this.
> I think that’s there decision ?

It is! But is it really ethical to put the choice there in the first place? Look at how many issues people get from addiction to social media or similar. Scoff at it or not, it can genuinely cause issues for people. Is it really the best idea to push more of that when we already know it's an unhealthy manipulation of a lot of people?
Aren't we "agile" now? No UAT testers should be stuck for longer than a sprint's worth so just work it out closer to the date?
This doesn't identify itself by user-agent, and doesn't respect (or even load) robots.txt. The fact that it's a language model is not an excuse to flagrantly violate the existing, well established norms around using bots on the web.
> Completely wrong, I enjoy turning wood on a lathe, this has been automated before a million times

Ok, but I'm guessing that woodworking is a hobby not your source of income? And also, the lathe itself was an "automation" of earlier methods of carving a furniture leg.

Would you use a slide rule instead of using a calculator? Maybe a few times, but would you do it consistently in a work setting?
You don't need ChatGPT Plus, but you do need to get an API key and give them your credit card so they can bill you at the end of the month. It's very cheap though! $1 is worth about 375 thousand words.
Perhaps "Information processing" isn't very well defined. More appropriate would be "neuro-electrical activity". But then, people have simulated that at high scales and still only got parrots.

So there is still a missing process that turns organisms into self-sufficient survival bots and also gives brains some level of consciousness as a consequence and it isn't trivial to recreate. Otherwise we would be crawling in artificial minds with their self-induced purposes by now.
This is why open source software and non-walled garden systems are so vital. With open source software and hardware where you can install your own software, all it takes is one developer somewhere in Russia or China who is not afraid of the RIAA's intimidation, and all of us will have access to the recording in a way that cannot be taken away. We must defend open source software and fight against walled garden promoters (like Apple) to secure our right to general purpose, freedom-respecting computing.
> are you asserting they’re all conscious as well?

I think the only part you're not understanding from what I said is the keyword "emergent". If you understand what that word means, you will understand the difference between a calculator and a sufficiently large neural net, or a neural net that is organized in a particular way.

- https://en.wikipedia.org/wiki/Emergence

> How does nature decide what counts as information?

Nature doesn't "decide" anything, it just "is". "Information" is a human construct, but it can be measured objectively (see Shannon Entropy for the tip of the iceberg).

> The only causal power I see in nature is physics, not information

Then you're missing some perspective.

- https://physics.stackexchange.com/questions/2685/what-is-inf...

Not to over-anchor on just a few people or concepts, but see for example (I am sharing pop science publications here but there is no shortage of more serious materials on the subject):

- https://mindmatters.ai/2021/05/it-from-bit-what-did-john-arc...

- https://bigthink.com/13-8/information-central-physics-univer...

You may even have heard of the black hole information paradox or quantum "states" (which is often studied from an information theory perspective):

- https://en.wikipedia.org/wiki/Black_hole_information_paradox

- https://en.wikipedia.org/wiki/Quantum_information

Even if information was purely an imaginary concept (I withhold judgment on this), it's probably the most fundamental language we have to describe physics as a whole.
Although there are obvious differences, it is worth considering the life of Helen Keller in this context.
> All Apple needed to do was to push an update which breaks the software.

Windows 3.1 famously refused to run on top of Digital Research's DOS.

> DR-DOS has problems running windows today, and I assume will have more problems in the future." Allchin replied: "You should make sure it has problems in the future. :-)"

https://www.theregister.com/1999/11/05/how_ms_played_the_inc...
A cope is an internet comment of coping self-delusion, often written when the author is high on copium. A milder version occurs when the author is under the influence of hopium, but is still generally aware of the desperate reality.
As others have mentioned, it really depends on how expansive is your definition of major CS theory. In CS research, one finds math results being used from all over the place ranging from dynamical systems to non-monotonic logic.

My guess is first-order logic, set theory, combinatorics/graphs, rigorous probability/analysis, and abstract algebra. At least being familiar with concepts from these areas would help make sense of what's going in, say, complexity theory or cryptography.

I put together a guide to learning complexity theory at the graduate level [0]. This may be a decent proxy for your question.

[0] https://bcmullins.github.io/complexity_theory_resources/
In 2020, life expectancy was 77 years; an increase of 1% of the total number (before the increase) of deaths occurring at 44 (33 years below expectancy reduces life expectancy by 0.327-ish years on its own.
I forget who wrote this, but there was a famous CS-related paper from a while back that made the point that when we automate the easy stuff, the only remaining problems are the really hard ones that require human expertise and domain knowledge to solve. So there will always need to be human software engineers.

AI being able to code is going to be like what happened when construction workers started using power tools: now that one man can saw boards as fast as 5 others with handsaws, wouldn't we see a lot less demand for carpenters? What happened is that per-worker productivity went up because of the new tools and the construction materials and techniques they use were adapted to take advantage of that, there was still plenty of work, and we can build better things faster than before.

In software, imagine how much more effective engineers can be if the grunt work could be more automated. People loved autocomplete and smart IDE features and graphical debuggers because they made coding more productive. A lot of those things already do write some code. AI provides a much better version of that.

People whose only contribution to software is the grunt work of writing simple code might need to worry, but there is a lot more to working as a software engineer than grinding code. These AIs are also repeaters of existing solutions -- maybe they can solve simple problems that have pre-existing solutions in their training corpus, but an AI is not going to be able to create the next Redis or Kubernetes or AWS simply by recombining existing text.

Regarding layoffs:

Even after all the layoffs most companies still have more employees than they did in 2020. Many of the people being laid off today joined since then. They will get other jobs, maybe not in a few weeks like what used to be possible, but still. This is not like 2001 when entire companies were going out of business and laying off 100% of their employees.

A lot of the the American tech industry developed when interest rates were higher than they are now. What we had in the past decade was not normal, and in some ways it was pretty crazy -- investors didn't care if companies were sustainably operated, and now they do, and that's good for the long-term health of the industry.

Tech is not immune from the business cycle, because nothing really is, but this really is not as bad as previous downturns. Even if it gets worse before it gets better, the tech industry is fundamentally strong and will handle it.
--Japanese translation by deepl.com modified by me.--

いいえ。トロールではありません。本当の意見です。

24 characters compared to 35 in translation posted above. I think it is a better translation but not because of the written language. I think it is more idiomatic of how a native person would speak, though I am not a native speaker and others more knowledgeable may disagree.

My point is that you should not judge from the alphabet or dictionary how concise a language is. And you certainly should not go off a saas translation (although I think deepl is very good).

Now back to the topic of high performance CPUs...
Call me weird but yes, I actually like doing arithmetic with a pencil and paper ?
Appreciate your take, not arguing with it.

But I’d imagine Lecun has more than passing familiarity with those. This deck was put out with the Philosophy dept and he had a panel debate with NYU profs across depts (inc phil) recently on this topic.

I suspect this is all pushing the top Phil Lang and Phil Mind to their limits too. Besides, if those subjects were anywhere near resolved (or even… decently understood), they probably wouldn’t be in the Phil dept any more.
Nimatron
Is this why Smalltalk never has a multithreaded vm?
> I think you are under estimating the bar for quality content. There is already an endless stream of content mass produced, whether by automated mechanisms or middling creators. You have to truly believe that epic, genre-defining works of art popular in mass media (not a generated static image but an entire movie or TV series) will be created by AI.

My worry is more along the lines of TikTok, YouTube, etc. Look at how scarily good TikTok is at quickly pigeonholing you into your interests. "TikTok but AI-backed and always showing you exactly what you want to see" scares me. I'm not even necessarily worried about 5 or even 10 years down the road from now, but I can see it coming. People already use GPT models for writing papers, books, ... There's Midjourney etc. for image generation from nothing. I'm sure books have already been published this way, and the technology will only get better.

What happens when your TikTok feed is always exactly what you want to see, even though the video itself was just generated a moment before? On its own it may not seem like such a bad thing, but there's also exploration of VR and AR, brain implants, ... Do we really want to live in a world where what we consume is primarily just ML-generated content, tailored specifically to the exact user, to the point where there may not even necessarily be shared experiences per se to bond over? Maybe I'm just fatalistic, but this technology has extremely high potential for abuse, and people seem to just ignore the ethics of it more often than not.
My solution for problems I've hit similar to this though not ZFS related (and by no means a catch-all) was to install linux-lts alongside linux and have boot entries for both
> The question is simple.

It most certainly is not.

> Would it be beautiful for you to see people banning US athletes? At this point, I think it would, for many people. Why don't we see it anywhere? That's the question.

This does reach the crux of the matter. Why don't we see Cubans boycotting American athletes and gaining major international support? Why aren't Syrians raising hell at every athletic competition, protesting that Americans and Turks are allowed to compete? Everyone's free to join in and boycott, so why don't they? Answer: Because on the whole it's not important enough to them to warrant the investment of effort and time. Because America's behaviors aren't that far out of the international norm of today (sad to say). That "suddenly" hasn't happened yet, and probably won't for quite some time.

And that's how we measure moral shifts. One day the shittier things America does today will be protest worthy, but our morality has not moved that far yet, and we still have much bigger fish to fry.

So to answer your question: I feel strongly about one case but not the other because they are not equivalent. And worrying about all the little problems before starting to solve the big ones makes the perfect the enemy of the good.

And that's the beef I have over whataboutism: It makes storms in teacups. That's what it's designed for, and why it's rightly called a logical fallacy.
I’m waiting for SiriGPT, and frankly I’ve wondered why its taken Apple so long to figure out how to do even the most basic of voice powered commands from my iPhone.
>A vehicle full of groceries means you don't have fresh groceries for most of the time.

Luckily we invented refrigerators so this is not an issue. Things can stay fresh and just as healthy for weeks.

>More resources? If you're walking to the store, this shouldn't be an issue, and in fact is a negative. Avoiding walking is why Americans are so fat.

As in, buying in bulk saves money and resources versus buying in small amounts. Indeed Americans are fat, but adding a few walks here and there isn't going to fix that. American diet is absolute garbage and the portions are insane.
Rampant MP3 copyright violation motivated and enabled some awful owner&user-hostile design, from which we're still suffering.

I don't like anything about the RIAA, but a lot of computer users don't have the high ground either.
GalenAI is such an awesome idea, and I'm genuinely rooting for its success! I just wanted to point out a small typo in one of the headings: "So how does Galen really works?" might be better as "So how does Galen really work?". Having a native speaker give your copy a quick check could be a helpful way to ensure it comes across as polished and professional. :)
"Computer: tea, earl gray, hot."

We're nearing the precipice of more natural human-computer interaction that will need to rethink the interfaces and conventions.

Alexa and Siri seem like Model T Fords when there's a jet aircraft flying overhead. I'm thinking these agents need to be replaced by more natural agents who can co-create a language with their human counterparts rather than relying on fixed, awkward, and sometimes unhelpful commands. It would behoove us to expose APIs and permissions delegation in a more consistent and self-describing (OpenAPI + OAuth / SAML possibly) manner for all possible services one would wish to grant to an agent. If a natural language agent is uncertain, it should ask for clarification. And on results, it is necessary to capture ever-more-precise feedback from users because positive and negative prompts aren't good enough.
Right. Requirements staying constant is not a requirement for estimates to be accurate because when requirements change it’s customary to ask for a new estimate.
For anyone looking for the related talk from LeCun discussing the proposed architecture: https://www.youtube.com/watch?v=VRzvpV9DZ8Y
Yes, and it is also related with consciousness. In order to be intelligent, it needs to be embodied, so it can sense and act in the world. More ideas related with consciousness apply here.
Then what? What happens when nobody is employable?
> But then, people have simulated that at high scales

People have thrown vast amounts of neurons in a bag, and have tried organizing networks in highly regular ways, but we have yet to apply what we know about brain tissue organization. We've done the equivalent of throwing a bunch of wood and concrete into a pile, so it should be no surprise that it doesn't look like a home. IMO it's quite remarkable that this approach has taken us so far!
Good question. So what's your answer and why?
That's got to be the mother of all false dichotomies.
I could see how this might be unpleasant. Making up to half the starch into something indigestible means it's still going somewhere...maybe unexpectedly and explosively.
Show HN: Celebrate friends and loved ones with collaborative online cards
> Avoiding walking is why Americans are so fat.

I wish society learned that exercise is not how you combat obesity.

While I agree that movement is the secret to a healthier life, the obesity epidemic is due to increasing levels of sugars and carbs in the diet, and having been convinced that fats are bad by medical crooks and the food industry.

In fact everybody is looking forward to hyper-processed fake meat which takes us further and further away from the plain, natural food our bodies thrive on.
I really liked the pre-Unibody MacBooks and MacBook Pros.

I have both in my collection. Including one tattered 2006 first-gen Intel MBP that I picked up from a trash heap and restored.

Every time I open that MBP up, the design makes me feel like a high-roller Hollywood producer. I was just thinking the other day that I wish I could have that machine with M1/M2 guts inside of it.

Those plastic MacBooks are also a joy to sit in front of.

And though I thought the unibody MacBooks/Pros looked spaced aged at the time, they kind of look unsightly today. Those black bezels are huge and obnoxious, and give the laptop a raccoon look.
It's zoomer internet slang. From https://en.wiktionary.org/wiki/cope#Noun, "A coping mechanism or self-delusion one clings to in order to endure the hopelessness or despair of existence." Usually seems to be used in a mildly derogatory sense.
You seem to be talking about giving the LLM the responsibility to do both strategy and tactics. In my experience, it can be useful in tactics, but usually fails to understand the concepts of strategy.

My personal feeling is that an LLM is insufficient for strategy and is not the only technology suitable for implementing the tactics. I think it makes more sense to treat each as a module in a system, and build different modules to compete against each other.
the point is, those two words are essentially fungible. regardless of who says they mean what, they are not right, unless their definition is that they are basically synonymous.
That’s basically how it was if you go far enough back in history like Roman times.
It's far more complicated than that. Take a look at the Nvidia Frameworks Support Matrix[0]. The Nvidia PyTorch Docker container is 20GB uncompressed(!!!!) and consists of dozens of layers of Nvidia/CUDA tailored software stacks[1] that all come together to do this magical ML/AI stuff we take for granted on CUDA hardware. BTW, we have a nice, clean Nvidia CUDA docker situation because Nvidia has been working on it for years. It's rock solid and universally supported.

Moving to a lower level, check out the release notes for the latest Nvidia driver and look in amazement at the sheer number of supported GPUs[2]. In short, literally every GPU they've put in a laptop, desktop, workstation, or datacenter over the past decade (plus their embedded Jetson stuff). There are over 2,000 GPUs listed there and I can tell you from experience the "Unified" in CUDA holds up. If the card is supported by the driver, it has a compatible compute arch, and enough VRAM whatever you throw at it will just work. In many cases even on Windows! People complain about the proprietary driver but the fact is if your GPU says Nvidia on it you can install the one driver on any distro and have these projects up and running in minutes.

Compare that to the ROCm "list"[3] of what, maybe a dozen GPUs? I know from experience (unfortunately) that even with "supported" hardware in many cases just getting the driver to work is a nightmare. Then you have basic frameworks randomly crashing, etc. It's a complete mess and like I said - AMD is a decade behind today and Nvidia's lead is only growing.

[0] - https://docs.nvidia.com/deeplearning/frameworks/support-matr...

[1] - https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorc...

[2] - https://download.nvidia.com/XFree86/Linux-x86_64/530.41.03/R...

[3] - https://docs.amd.com/bundle/Hardware_and_Software_Reference_...
I think the only people's job that AI will eliminate will be je job of people who doesn't use AI.

No code solutions have existed for years (e.g. Excel) and yet data scientists are still getting paid in the six figures.
https://news.ycombinator.com/item?id=35308498
My understanding it goofys and s3fs support these types of operations?

Still, a win for reliability / performance of whatever aws will be supporting
Wrt your guild-proposal specifically, one concrete outcome I'd like to see is accreditation, something similar like certification exams administered by society of actuarians.

High bar standardized exam on fundamentals of CompSci, which waives every whiteboarding/leetcode interview. It sort of exists today, if you have a CompSci degree from reputable college, but this way people can get the certificate without the formal education, just pass the exam. It's ok if it's difficult.
So, here's my big problem with AI: To quote Strong Bad, "I don't trust any device I can't mash Ctrl-Alt-Del on."[0] And the good bits of AI, as it exists currently, are inscrutable NN statistical models living in the cloud (i.e., someone else's computer). You pay for access, drink a verification can, submit your query, and then a miracle occurs[1], and you get your result.

Today, if I want to be a programmer, I can procure all the equipment I need to do some serious programming -- for cheap! I have control over every step of the process. If creating software becomes something that you use AI to do rather than do yourself, it will require surrendering much of the process to mysterious cloud entities, like William Gibson's electronic voodoo gods floating out on the edges of cyberspace. Unless we have open-source-equivalent AI models that we can download, play with, run on our own hardware that actually give good results. I think I will wait for those to become available on hardware I actually have before faffing about with AI.

[0] https://twitter.com/StrongBadActual

[1] https://www.researchgate.net/figure/Then-a-Miracle-Occurs-Co...
Well that's kind of what I think I took from the article as well, but I'm not sure I see the sense in that. It sounds to me a bit like saying "functional programming is not that great because it doesn't make thinking and planning obsolete"... It sounds to me like a category error, or unreasonable expectations. :shrug:
Lion was a little sluggish and buggy at the start, but it proved itself to be a fine transitional release, and I agree about those feature additions - loved them!

Personal favorite release was 10.9/Mavericks.
More like moped, powered, with small wheels, definitely not off-road. Still good if you don't mind going the same way again and again. Or going "in the wild" only to find out someone is already there.

BTW, animals do make tool. Even some insects (ChatGPT told me last night :)).
Only some of the time.
They mentioned probabilities, but not measure theory. They might want a deeper and more intuitive understanding that they'd get through measure theoretic probability before going too deep into programming.
Domain name checks out
I always wondered why that is for a long time (in basic physics that at least). It wasn't until grad school that I understood that position and velocity are enough to uniquely determine a trajectory on a manifold.
Ask it to summarize what it has learned in such a way that it would be prepared to continue the conversation in a fresh chat.
It’s an economic message. Let’s not further marginalize poor rural people by making those comparisons.
Either the cache entry has expired or (if "bingj.com" is associated with the Bing) I can easily imagine someone in Microsoft "helped" it along

I'll save you the trouble: Wayback only has the DMCA notice since the snapshot was taken today