skysight-inc/HackerNews huggingface dataset:
Why so quick to write off malicious incompetence?

Observing that the man will be forced to retire at age 76 after a decade longadder climbing career is hardly a resounding proof of incompetence
Interesting, I'd read somewhere that is was "Sixteen/Thirty-two", as M68k has a 16 bit data bus but is 32 bit internally.

TT was then Thirty-two/Thirty-two as the '030 data bus was 32 bits.

Yours makes more sense though.
Part of the ongoing confusion, in my opinion, is that we as an industry leaned full into calling LLMs artificial intelligence.

The phrase AI has much more weight behind it than what we give it credit for, and using the term for LLMs cheapens it.

The average person hears AI and expects much more than an algorithm that can attempt to predict and mimic human written word, no matter how clever or impressive it is.

As an industry we seem to have agreed to call the next round of machine learning algorithms "artificial intelligence" because it sells better and raise a hell of a lot of funding. What does that to the very real safety, moral, and ethical questions that need to be asked before we actually create an AI?
> Does quantization work with most neural networks?

Yes. It works pretty well for CNN-based vision models. Or rather, I'd claim it works even better: with post-training quantization you can make most models work with minimal precision loss entirely in int8 (fixed point), that is, computation is over int8/int32, no floating point at all, instead of weight-only approach discussed here.

If you do QAT something down to 2-bit weight and 4-bit activation would work.

People aren't interested in a weight-only quantization back then because CNNs are in general "denser", i.e. bottleneck was on compute, not memory.
You are assuming that you don't need an aircon at night. Something that's very much not the case during a multiday Australian heatwave.
> And no, like others will inevitably suggest you can’t just legislate a multinational company to build its facilities onshore because you need them to.

It’s weird that people have forgotten this is a thing the government can do.
Redesigning navigation with a user-centric approach
Note that buybacks must be announced beforehand by the company, so everyone selling their shares has the same knowledge.
Interesting that this involves a response similar to an immune response to a pathogen. I've read a couple articles about alternate theories of Alzheimer's linking it to an increased immune response in the brain.
> Companies are for creating goods or services to sell to other parties. They existed long before the idea of shareholders. Following your logic, companies pre-VOC had no existing purpose.

Sure, but the owners (sole proprietors, shareholders, partners, etc.) of most companies want to make profit selling those services and goods. The more money you make the more you can grow the company or reward yourself (as owner).
> There is no such thing as a single standard UI

Yes, there is, and it is called CUA.

https://en.wikipedia.org/wiki/IBM_Common_User_Access

I learned about 20 different text editors before CUA came along. I refuse to learn any new ones unless they comply with CUA.

I write English, not code. Any one of dozens of CUA editors are perfectly fine and adequate for my needs.

> GNU Emacs was ported to window systems loooooooong time ago.

So its programmers have had decades to adapt it so that it conforms to the standards set in the 1980s and adopted by the entire computer industry, from Apple to Xerox.

If they can't be bothered to adapt it, I can't be bothered to learn their ugly pre-standardisation UI.

Some examples: a document is held in a window which can be split into panes to see more than one at a time. Those are the terms. Use them, or GTFO.

The keystrokes for file operations are always Ctrl + the first letter of the relevant English verb, e.g. Ctrl+O is Open, Ctrl+P is Print. The Control key is abbreviated Ctrl and nothing else.

The key next to Ctrl is called Alternate, abbreviated Alt. It is not called anything else on PC systems, although Macs call it Option, abbreviated Opt.

It is not called "Meta" and no hardware made in 40 years called it that. The software was ported to the hardware; now port its manual and its UI, or GTFO.

Incidentally, a second danger of using the wrong name is that because it's wrong, different teams use it for different things. The KDE team call the Super key "Meta".

https://docs.kde.org/stable5/en/khelpcenter/fundamentals/kbd...

They are wrong, too.

Ctrl, Alt, Win/Super. Deal with it. The world changes. Software must adapt.
AFAICT the upside here is the same as the downside, and similar to LoRa: you get to have your own infrastructure, but you also pretty much have to have your own infrastructure.
Prior to the Bush era tax cuts, all dividends were taxed at the income rate, which I think explains the biggest motivation in the shift from dividends to buybacks in that era.

Nowadays, as you say, there is no difference in tax rates for qualified dividends. However, one big remaining benefit of buybacks is that a dividend forces one to incur a taxable event when the dividend is issued, even if one chooses to immediately re-invest the dividend in the company (as many people still in the accumulation phase of investing do). On the other hand, a buyback does not force those people to sell.

On the other hand, a buyback should lower the market cap of a stock, so cap-weighted index funds ought to sell and re-balance when a buyback is issued, so most index investors would seemingly end up selling. However, they end up being able to avoid most of the capital gains taxes by re-balancing through redemptions and heartbeat trades.
Not correcting you, but Investopedia has a f-ckton of articles on the basics of stocks and buy backs.

Stock Buybacks: Why Do Companies Buy Back Shares?
https://www.investopedia.com/ask/answers/042015/why-would-co...

KEY TAKEAWAYS

Companies do buybacks for various reasons, including company consolidation, equity value increase, and looking more financially attractive.

The downside to buybacks is they are typically financed with debt, which can strain cash flow.

Stock buybacks can have a mildly positive effect on the economy overall.

Search for 'stock buy back'
https://www.investopedia.com/search?q=stock+buy+back
I like short code, but for exactly the opposite reasons. I can write long stretches of code; I won’t be very happy doing it, but all it takes is to start and keep going.

Reading vast plains of mostly-obvious code, though, attempting to extract the author’s insights from them—that can be genuinely difficult. It’s also very taxing, because it’s never going to be all obvious, you see? Only mostly so. At some point somebody, somewhere, needed to tweak something just a bit to avoid a momentary difficulty, or their brain slipped, or they were new and didn’t know a subtle detail of how things are supposed to be done. Whatever the reason, I now need to remain in a state of constant vigilance for the entire journey.

Give me two pages of code to stare at for an hour until they click any day. As funny as this sounds, that is just plain less effort (and less perception of wasted effort as well, if we’re being honest).

(Now, I wouldn’t object to having both options—a concise description and its long and borung expansion for when I’m just not smart enough to get it—but that’s a language design problem that has for the most part remained unsolved for several decades now. So I’m not holding my breath.)
Right now it seems model-size/training-tokens are roughly going up 10x per year, resulting in training costs going up 10x per year. As long as investors are willing to increase spend 10x year over year then models can continue to grow 10x year over year.

The "stall" scenario is where model performance from one year to the next, despite 10x increase in size, stops getting significantly better (i.e. better to extent that investors project increased revenue and worthwhile ROI). Let's say best case scenario here is that investors are willing to keep putting money in, but only at a flat year-over-year level. Without that 10x YoY spend increase, the model designers have lost a 10x factor in ability to increase model size. Perhaps compute prices halve YoY, so they can still get a 2x model size increase, but what good will this do if prior year's 10x increase just saw performance leveling off?

This seems like the best case scenario in this "performance levelling off to point of minimal RoI" situation. Why would an investor "throw good money after bad" and spend another $10B after having judged that last year's $10B wasn't really worth it?

So, under this logic, it seems that either:

a) scaling/tweaks are all you need, and YoY performance gains continue to be impressive and support 10x model-size increases/spend

b) scaling is not all you need, but some AGI-critical breakthroughs are made BEFORE investors give up on current trajectory

c) scaling is not all you need, the AGI breakthroughs are not made in next few iterations, and the industry enters "stall" mode (i.e. no further progress towards AGI, other than ongoing research to find a new direction)
> They're a means of "returning money", but they also pump up the stock price, to which managers' TCs are linked. Hence they are a form of manipulation.

Why would you say they're pumping up the stock price, rather than just raising the price? Is it a temporary pumping effect, like an Elon Musk tweet from 2017, or is it actually increasing the value of the remaining shares?
Bombing a million people to death gets different international response than bombing their infrastructure and then opps they starved to death, what a tragedy.
Regulation or deregulation.

Take loan forgiveness—-the loans themselves are not the underlying root issue. They are a tertiary effect of a credentialism spiral and insane cost growth at institutions that don’t face true market pressures. Just dropping money on borrowers is not even attempting to fix the underlying problem. It’s so unambitious it invites cynicism.
As opposed to doing what in those cases?
Perhaps, but as a counterexample, the SerenityOS people implemented the Delphi approach with Visual Builder but then realized that they preferred working with text, so they replaced it with a declarative DSL and live preview (GML Playground).

Here's Andreas Kling briefly demoing both and talking a bit about it: https://www.youtube.com/watch?v=1QYBvTy9QKE&t=519s
Stock buybacks are just a form of dividends. It's still subject to taxation via capital gains tax.

Subsidy is just a way to create an incentive for Intel to build manufacturing facilities in the US. It's not paid because Intel lacks funds, but to ensure that factories are built in the US and not elsewhere. Intel can do whatever it wants with the money received from subsidies, provided it fulfills its obligations.

Jobs aren't particularly important in this schema, but they are a nice talking point for politicians to show that at least part of the money paid via subsidies will return to American workers.
> highly competent person who just lacks a bit of social graces

I consider myself one of these people (let's say above average competency). I don't think management is stupid for not accepting my ideas. I begin to have an issue when they disregard the concerns my idea was meant to address. Too often, it feels as though they choose the path which leads us straight into what I think are clearly foreseeable and avoidable problems, and then I'm at fault for describing them as such after the fact.
I only meant that their methods should be part of the conversation, not implemented uncritically or without being adapted to local needs.

Many people in the Netherlands also need to drive and the system supports this while also offering alternatives. Many people means diverse needs indeed, so the reliance on and the defaulting of car travel runs counter to many of those needs.
Hundreds of thousands of H100s…
> Instead of using the hostage situation as an opportunity to change Gazan's mind about Hamas

How would that suppose to happen if the civilians celebrated en masse the great success of killing and harming the Jews?

Civilians in Gaza have zero sympathy for the Jews. Why would they change their minds when every cruelty against any Jew is a cause for applause for them?

Compare this to the reaction of the West towards the terrorist attack in Moscow. Many Europeans expressed compassion. Would you think relationship between Russia and the West was salvageable if the entire Europe cheered on the streets because some Russians died?
Can you not use your card in US online stores? These mostly don’t support 3DS, so there is still a large fraud vector for compromised cards that work internationally.
> I accept that this coin-hypothesis has been disproved by people who actually knows what they're talking about.

The classical idea is more like as follows: you have a guy Charles who makes two letters each with a card in that has written on it either number 0 or 1, and gives one letter to Alice and another to Bob. Now, "entanglement" here is that if Charles writes 0 in Alice's letter he writes the number 1 in Bob's, and vice versa. Alice and Bob are also aware of this. This means that even at a distance, if Alice opens her letters and sees a 0, she knows that Bob's has 1 in.

For a long time, Einstein and co. through the "EPR paradox" (Einstein-Podolsky-Rosen) thought that QM would be something like this, but we just didn't know how to access the actual letter "in transit" yet, which they called an "element of reality". They were wrong.

It turns out that Bell's theorem basically says that in this situation the correlation between the two letters would be less strong than quantum theory predicts for entangled states, so this cannot be the full explanation.

Bell's theorem says you either need to give up the idea that there is no "spooky action", or give up determinism (no true "element of reality" that really holds what's going on), or you can retain both if you let go of another concept called statistical independence.

> Have an array of 8 particles at both locations. They represent measured/unmeasured rather than heads/tails. You got yourself a one-way single-use FTL byte.

You can't have a quantum state where something is the superposition of measured and not measured, this violates a fundamental postulate of quantum mechanics: that measurement "chooses" one of the states in the measurement basis. I think you touch on that later, in that you can't tell via entanglement if a measurement took place elsewhere, which is partly why we can't experimentally demonstrate a non-local theory yet.

Basically, it isn't that some signal is transmitted, it's that if they are entangled the states of each system cannot be independently known. That is, like in the letters example I gave: it can be either 0 for Alice and 1 for Bob, or 0 for Alice and 1 for Bob. Now, the reason why information is not transmitted is the same: Bob didn't know what was in his letter before he measured it, so it's randomly symmetric between 0 and 1, there is no information transferred. It turns out that this kind of symmetry between the two states tells you nothing that can be used to transmit information.
> My limited understanding is that Nerfs are compute-heavy because each cloud point is essentially a small neural network

There's no point cloud in NeRFs. A NeRF scene is a continuous representation in a neural network, i.e. the scene is represented by neural network weights, but (unlike with 3D Gaussian Splatting) there's no explicit representation of any points. Nobody can tell you what any of the network weights represent, and there's no part of it that explicitly tells you "we have a point at location (x, y, z)". That's why 3D Gaussian Splatting is much easier to work with and create editing tools for.
The rest of what the grandparent commentator wrote is both the perceived and actual outcome, regardless of why the legal system decided to wait years and years and years to execute its judgement.
Linux Text Manipulation
This is why I believe capitalism cannot survive AGI
$152B in buybacks and the stock is still not trading high. Still not interested. Feels like Intel is basically at the GE stage of impending decline due to over corporatization.
Lynx Air and Boeing agree to terminate 737 MAX purchase deal
> Why is me buying my own book to bring it to the best seller list any different than any other purchaser?

What's the best-seller list in this case?
I was referring to the comment above me.
But using a 8x smaller model also does not result in an 8x growth in the error, too.
Swift is such a delightful language to use, well suited for general application development. It's awesome to see it gaining traction outside of the cocoa ecosystem. If you haven't given it a fair chance yet, I would highly recommend you do!
I don't know what it is about Finnish culture that results in such a significant number of permacomputing hackers¹ that go to great lengths to preserve old-hardware, but I am grateful for it.

¹ When I say significant I mean "at least two, but one of them is viznut"². That is significant, right?

² http://viznut.fi/en/
The only caveat to that is: if it's a pattern that is used frequently. For example, the tons of auto-generated gRPC code. First go around, sucks. You have to dive & read a lot. 2nd-3rd go around, you might remember more bits of it so you can use it with only a few lookups of defs. More than that? You likely don't need to dive into it at all to understand.

So perhaps this tool would be very useful, if you're going to use it a ton. Or use it only once and not really have to access the internals. But if it's something that is bespoke, and you update it infrequently, that's ripe for frustration on re-reads.
Why would you want to adopt a trend instead of developing with your personal style?
And Nim is pretty handy for DSL approaches like that! I've never got to try SwiftUI stuff, but it looks great for desktop UIs.
I am currently working on physics-informed ML models for accelerating DFT calculations and am broadly interested in ML PDE solvers. Overall, I think physics-informed ML (not just PINNs) will be very impactful for computationally heavy science and engineering simulations. Nvidia and Ansys already have "AI" acceleration for their sims.

https://developer.nvidia.com/modulus

https://www.ansys.com/ai
What database is recommended for relatively small time series data sets?
I agree that he could easily be functioning as a scapegoat mechanism, uniting people who believe "anyone but".

As to being an actual scapegoat, I doubt it: scapegoats are innocent.

He is accused of being a racist (Central Park 5) misogynist ("Grab em") bigot (https://www.youtube.com/watch?v=PX9reO3QnUA#t=16)

We are apparently a long time removed from 'quoniam meos tam suspicione quam crimine iudico carere oportere'.
I know for a fact that many of my friends don’t own a safe, and I don’t think I’m an outlier here.

I don’t doubt that many people do, but it’s still not a solution for the majority of Apple users.
Can you help me with reading that page? What's the difference between the `linux-kvm` vs `linux-hwe-6.5`? They both list different release fixes for Jammy, 5.15.0-101.111 and 6.5.0-26.26 respectively.

Edit: Oh it looks like the generic kernel is the one named just "linux" and also has 5.15.0... as the patched version on Jammy
politician bribes tend to be in the millions of dollars, while profits can be in the billions of dollars.

In a life or death situation for an industry, they can exert literally 1000x the political pressure before making losses.
Hey, that is a field that I am interested in (mostly inspired by a recent museum exhibition). Do you have recent papers on this topic, or labs/researchers to follow?
If you did the same thing as the OP then you'd have some numbers to share, rather than vague fearmongering about grid collapse.
It's super easy. Cool to 20C during the day and close your windows. In the morning you should be well under 22C.

I can do the inverse: warm my house to 22C and turn off the furnace overnight when it's -30C. The house won't drop below 20C. And that's a 50C differential. A 14C differential is trivial in comparison.
Jira Regular Backups and Issue History Tracking: Must-Haves to Protect Your Data
TL;DR Nvidia has the best performance. Qualcomm is matches Nvidia with performance per watt.

Every chip that can run models sells for profit, because demand is so much higher than supply. The difference is profit margin. Nvidia gets something 90% profit margin for their server chips because their performance is better. Others must adjust until their price/performance ratio matches Nvidias.

Next 1-2 years Nvidia prints money, but the money printing machines are owned by TSMC and their capacity for next few years is locked in.
That’s not what I said nor what I was arguing. I quoted the parent commenter in my original comment.
Interesting, but DECT is already dead.

We've already replaced the entire DECT infrastructure for WiFi phones with MS Teams in our company. Not nearly as reliable or functional but we make do with it.
Because your whole argument is misconstructed. There are cases where longer code is better, but there are many cases where longer is worse too. Because the tools the language provide, on top of being more succint, make the intent more obvious.
Thank you, cameldrive, for this perceptive commentary on culture clash in the mideast :-)
From a basic economics perspective, companies conduct buybacks when they have no other use for the money. Since re-investment supports shareholders on a longer timescale, Intel has essentially let the market know they don't have any other use for the money they have. The point of investing in a company is the funds to be used to generate wealth. If I invest in your company and you just give me back my money, what's the point of the company (especially if its money requiring extra leverage to produce). Buybacks are inefficient use of invested capital (see NVidia's stock price if you need a comparison for a more efficient use of cash and its effect on shareholder value).
> However, US is at peace.

This has always been a difficult concept for me given that we have decided to maintain a very large standing army since WWII. Where is the line really drawn between being prepared for imminent war and being at peace?
Sounds in line with most "AI SaaS" lately.
I had an extremely negative experience creating apps in Swift.

I can't see any logical reason why people would not use Electron/Tauri.

Swift doesn't allow you to have full control of what you want to do.

I built a whole macOS [ fixkey dot ai] app in Swift, and it was a very painful development experience.
After the attack Hamas would gain support even if the Isreael didn't respond with cruelty.

Hamas was loosing support because they weren't doing enough to harm Israel for people to forgive them for harming Palestinians too.
The answer is Bell's Theorem. Scott Aaronson has some good explanations.
Funny how the tech world comes full circle. I remember writing a similar program (for CPUID) as a COM file in mid-90s and it definitely had less than 466 bytes, maybe 1/10th of it.
Or maybe x86 CPUs were until recently designed with performance in mind instead of energy/eff and Intel+AMD were slower at going into that direction?

Just wait until Lunar Lake is released in this year. It should be x86 energy eff CPU
The spooky part occurs when two parties who share this entangled state know what measurement to perform. If the measurement choice aligns for both parties, their outcomes can be correlated precisely. If the measurement choices are not aligned, the outcomes are also random
Who would invest in or create a company that would never pay a dividend and never bought back its stock? How would shareholders ever yield gains from their investment?

Short of some entity buying all stock and taking the company private (to then withdraw profits), there would be no way to return profits to shareholders.

The companies currently not doing those things are in a growth phase, with the expectation that in the future they probably will be issuing dividends/buybacks.