skysight-inc/HackerNews huggingface dataset:
I probably shouldn’t take the bait here, but this reads like someone took intro to ML and thinks that’s all there is to know. “Just” fitting a curve couldn’t be more reductionist and discount the work of a ton of incredibly intelligent people.

I tend to agree that I don’t really find ML work all that interesting (much more interested in making it go fast :)), but simple it is not.
OpenBLAS with INTERFACE64=1 ??
According to the EMH markets are efficient because of people making intelligent decisions about what to buy and sell. The market price is where the marginal buyer meets the marginal seller. Passive funds (which aren’t actually passive) by contrast buy stocks irrespective of price. The logic of passive funds is that because other market participants (like fund managers) do the work of making the market efficient everybody else can buy any random basket of stocks and get average performance, without having to pay management fees.

Without fund managers doing the work of price discovery cheap index funds would cease to work. Fund managers are right to be miffed about that.
Dialup doesn't work over every phone line, especially over sat voice lines.
My water tank and hot tub had "self-cleaning" cycle that would heat up and circulate water to prevent bacteria buildup regardless of what temperature it was set to.
Because Tesla was, is, and will continue to be overvalued as a car company. Why pay the “tech premium” for a manufacturing firm when you already have all of those core competencies in house?
The false positive rate would kill most use cases here. Even 1/10000 false accusations of academic integrity would be too much.
I'm not convinced that we're on the right path in detecting ai generated content.

We've been looking at the end result and making conclusions about the journey - and that will always comes with degrees of uncertainty. A false positive rate of 0.01% now probably will not be applicable as people adapt and grow alongside ai content.

I wonder if anyone's working on software that documents the journey of the output similar to like git commits, such that we can analyze both the metadata (journey) & output (end result) to determine human authenticity.
Please let's not go into the car vs bike flamewar topic - it's one of the worst and most repetitive.

(Dogs vs cats is bad too)
Except for AI not being life yet. I'll go with intelligence already, but not yet growing, reproducing, producing, interacting or much of anything you might choose for "life". Which is cool: a (to be) life form which starts with intelligence before life!
Love that thread. The top comment is excellent:

> Like picking hyperparamters - time and time again I've asked experts/trainers/colleagues: "How do I know what type of model to use? How many layers? How many nodes per layer? Dropout or not?" etc etc And the answer is always along the lines of "just try a load of stuff and pick the one that works best".

> To me, that feels weird and worrying. It's like we don't yet understand ML properly yet to definitively say, for a given data set, what sort of model we'll need.

This embodies the very fundamental difference between science and engineering. With science, you make a discovery, but rarely do we ask "what was the magical combination that let me find the needle in the haystack today?" We instead just pass on the needle and show everyone we found it.

Should we work on finding out the magic behind hyperparameters? In bioinformatics, the brilliant mathematician Lior Pachter once attacked the problem of sequence alignment using the tools of tropical algebra: what parameters to the alignment algorithms resulted in which regimes of solutions? It was beautiful. It was great to understand. But I'm not sure if it even ever got published (though it likely did). Having reasonable parameters is more important than understanding how to pick them from first principles, because even if you know all the possible output regimes for different segments of the hyper parameter space, really the only thing we care about is getting a functionally trained model at the end.

Sometimes deeper understanding provides deeper insights to the problems at hand. But often, they don't, even when the deeper understanding is beautiful. If the hammer works when you hold it a certain way, that's great, but understanding all possible ways to hold a hammer doesn't always help get the nail in better.
Matter Assembly Computation Lab
That VR thing? Could have combat fighter visibility around/through the car, and with sensor fusion.
Hope he gets his $. Absolutely absurd what happened to him.
The atmosphere is already 78% nitrogen.
Oh, I've been honked a few times in the past few months right after pulling up to a light just after it turned red and the cross traffic has a green light. It's like... "you really expect me to pull out INTO traffic because you're so impatient?!" The first time it happened the person kept hitting their horn until they saw the cross traffic. Amazing.
You say: "We can't conceive of things that are not experienced, by definition"

I mean, you probably don't even realize that this view is influenced by Kant. You are giving a very poor retread of 200+ year old German idealism.

For example, from the Wikipedia article on Critique of Pure Reason [1], Kant's major work: In the preface to the first edition, Kant explains that by a "critique of pure reason" he means a critique "of the faculty of reason in general, in respect of all knowledge after which it may strive independently of all experience"

I think it is fair to criticize his prose but it isn't like you don't have access to well over 200 years of commentary and follow-ups to one of the most famous and important philosophers within the Western tradition. For a gentle introduction I suggest this video [2] (42 minutes) where Geoffrey Warnock (at the time the Vice Chancellor at Oxford) provides an overview of Kant's ideas.

It is also fair to disagree with Kant, but it is pretty obvious when you are talking about the subject he dominates while having no experience with his work. The reason he is so famous is that he had very compelling things to say on this very subject.

1. https://en.wikipedia.org/wiki/Critique_of_Pure_Reason

2. https://www.youtube.com/watch?v=wlEMkAkGS1I
Well that is not a novel text, is it?
There's another consideration when choosing a project management tool: staying power. I was evaluating options for my company a while back and I skipped Linear, Shortcut, etc. because I have no idea if they'll still be around in 5 years. We ended up choosing YouTrack. It's fast, cheap (for small teams), been around for over 10 years, and JetBrains uses it for their issue tracking.

GitHub has been consistently improving their project management feature set in the last few years, so it's becoming a viable replacement for other tools (although it still has a ways to go).
Of "good design with shoddy implementation" and "bad design with good implementation"

- I'm not sure which is worse
As compared to a lower car, it absolutely helps. (I used to drive a lowered Alfa Romeo Spider. Sometimes I could see traffic better underneath the lifted trucks in front of me...)

I can't control what cars other people buy and drive. I can control what I buy and drive.
https://www.nytimes.com/2023/07/13/opinion/ai-chatgpt-consci...

Did you read his book Godel Escher Bach? It's a good book. CS people love it as it's all about recursion and puzzles.
Your assumption is that the advocates of the Wager give a damn about Zeus to be begin with which seems flawed to me.
It is not absurd. It depends on the type of beings at play. Plants don't kill each other, but animals do on a daily basis, from whales to mosquitoes, they're all part of a macabre annihilation dance where strength, intelligence and mimetism play important roles.

Through different eras, men have traveled long distances to kill, subjugate, enslave other people, and to consume everything that can be consumed, we won't change if we start going to the outer space. Being the most advanced species on earth doesn't make us different, as spiders, fish, birds, wolves, anything that moves is determined to kill or be killed, so it's not only a human trait.

Is it a dark forest? We don't know, it may just be an open battleground where intelligence is the final conqueror and that's exactly what rides on top of the arrow of evolution.
> matter can be viewed as 'captured' energy, or energy at rest?

No, matter isn't 'captured' energy any more than it's 'captured' mass or momentum. Energy is a quantity, not a substance.
Even if the bad faith accusation is relevant, which you haven't argued for, you also haven't given a reason to think it is true.
> I still don't understand what's the game that Apple is trying to play here.

It's a fair question, which was also raised when the iPod was introduced. It helps to see Apple as an "affordable luxury smart things" company. Dumb, ICE-based cars were a poor fit, but smart, mostly solid-state vehicles may not be.

Automotive is just another product category large enough to matter to Apple. A possibility not mentioned in the article is that Apple may initially partner, as they did with Motorola for the ROKR (but hopefully more successfully). Sony, the company Apple wanted to be when it grew up, is doing this with Honda for their first car, the Afeela.

> Tesla had the advantage of being the first mover in the EV market…

Apple has gone up against several first-movers that are now gone or are shadows of their former selves. It's neat that Tesla will be remembered as people's first EV, but it's not enough to ensure their market position 20 years from now. Tesla has no special sauce that I'm aware of.
Hard to measure between eras with the evolution of pork barrel politicking and other recent cultural practices.
The 'not writing modules' approach is for people that aren't comfortable writing code. I think most capable users for non-trivial things should write custom modules a lot of the time.
Have you found/added a bugtracker issue for this?
No. It supports s0 sleep, not s3. It's my biggest problem with mine. I lose about 1% per hour.
> I feel that React is not the default framework

It doesn't really matter from a technical standpoint, you can build the same UI with any framework (or none). React is still a good default choice if you want to rely on the ecosystem or if you are planning on working with other people. There are lots of devs using react daily at work. Svelte may have twitter-appeal, but not very many big companies are using it.
I wonder if it's done locally or through the cloud. Some of the language around the release of Gemini Nano implies that it may be done locally?

https://store.google.com/intl/en/ideas/articles/pixel-featur...
To import and export electricity between the two islands.
Uh, ARM, low power, and GPIO. The fascination is in its applications beyond a desktop computer. It was dirt-cheap for what it did and enabled.
Meta likes to call quest 3 "mixed reality" since AR is generally defined as adding images to the existing light going into your eyes.

I just feel like the technical challenges of AR are much larger than people give it credit for - even just dealing with "how to project an image" before even trying to miniaturize it is really hard!
Even then, one era might write more tersely than another.
Yes, sorry for messing up the URL. I can't edit the submission's URL anymore.
I'm a bit sceptical of the exponentially harder debugging claim.

First it looks polynomially harder for the given example :p.

Second other engineering domains arguably have additional dimensions which correspond to the machine learning ones mentioned in the article. The choice of which high level algorithm to implement is another dimension to traditional software engineering that seemingly exists and corresponds to the model dimension. This is often codified as 'design'.

The data dimension often exists as well in standard learning software engineering. [Think of a system that is 'downstream' of other].

It's probably a lot simpler to deal with these dimensions in standard software engineering - but then this is what makes machine learning harder, not that there are simply 'more dimensions'.

The delayed debugging cycles point seems a lot more valid.
Is there anything stopping you from also syncing an encrypted copy of your data to a central server to be synced down or your other devices? It doesn’t appear so.

A websocket between all your devices and a server (or even webrtc between devices) could achieve this in parallel.
Liability already exists. what next?
Does it? Survival/crafting games are popular these days, including shooters. I think someone was bound to make this kind of game eventually, and it's not a surprise people will play it.
Link to the specific incident: https://status.cloud.google.com/incidents/bMAYzVmupVWVNUjPhc...
We spent a significant amount of effort designing v6's deployment strategy to make sure this would be the case -- that it could be deployed without disrupting existing network setups. It's supposed to work like this.

Don't twist that effort into a reason to not deploy v6.
For some reason this comment of yours was dead.

Power drives consensus. Capitalism is just a means to allocate this power within a functioning state. But even in a non-Capitalist state consensus still exists due to allocated power.

Capitalism has uses other than consensus as well.

Ah. I think I was talking past you by hyper focusing on just the "capitalist" and "consensus" parts of what you wrote. I was taking it to mean that there was a special connection between capitalism and consensus, and not just that capitalism is one means by which consensus is created.
Sure. Are they good? "It depends."

They're a real mixed bag in terms of community and drivers, especially in the long-term.
use code - electro15 for 15% off
We all lived through the same chip shortage during/after COVID right or did I miss something? Was this even a question of why prices went up?
Is this just a matter of there not being nice packaged up products yet?

I’d like to see this sort of logic applied to, say, doing an Autocad simulation. I think lots of people use that kind of stuff to do finite element analysis without being experts in the underlying math packages…
Next.js - https://nextjs.org/

React framework - 20 million NPM downloads a month ()

https://moiva.io/?npm=next
It's not illegal everywhere, and it's silly that it's illegal anywhere.
> Don't store payment info anywhere, but if you do, make sure it's a generated CC number.

Cries in Canadian. As far as I am aware there is no way up here to have more than one virtual card. Please correct me if I'm wrong.
> It felt like I needed a PhD and hardcore math skills

I don't know if this helps more or make it worse. But I have both and getting the same feelings all the time. But basically you just need good statistics and linear algebra knowledge, and you will be fine (on the math side).

> there’s already so many people much more smarter and advanced for me. Why even bother?

That's the very definition of imposter syndrome put in a very good way. But you can ask the same for everything, not only ML. kudos on getting through it, though.
Him forgive, programmer he Forth a is.

You thank.
The post is not talking about 'traditional ML' but rather only 'DL' (i.e. neural networks).

One of the problems I see here is that it seems to me that the math education of many CS grads is woefully lacking. Indeed, deep learning math is basically senior-high-school level calculus. Backpropagation is a straightforwards application of the chain rule. There is really no surprising thing or deep insight. The math for deep learning has been set in place for more than fifty years at this point. The only change was the advent of large enough data and computer chips to process it.

That being said, I don't think understanding how the `transformers` library works or composes is the same as understanding how 'deep learning' works. That's like saying knowing how to use GCC gives you a solid understanding of compilers. That's not a ding against those whose main experience with DL is using those libraries. I use many libraries doing things I don't fully understand. I'm not a graphics expert, but I use graphics programs every day, and graphics libraries regularly. That's fine. But using those libraries doesn't make you an expert in computer graphics.
Waterway Map
Go to Aliexpress or Taobao and look around. Yes, you're unlikely to get latest Android or 5G but the original ask was for smaller-screened phones that are still being sold.
> This feature can also be be enabled in macOS by adding the following line to ~/.zshrc:

> setopt HIST_IGNORE_SPACE

Except that I think it's called `histignorespace` (I haven't caught up with when and how much zsh cares about lowercased names), I think this is just about zsh, not about macOS specifically.
> There is a lot of jargon and you do have to sit down and learn how things work, but once you do, deep learning is fairly simple.

This is my realization too. I think ML for SWE courses should focus on "translation" first. Like by "kernel" they mean this specific thing, not the normal meaning of kernel. This is similar to other fields like finance (which I'm working on). After you learn the language, it's actually not too terrible to understand.
Great take. My project's tech stack is React on the frontend (without Next) and C# on the backend. For me this strikes the right balance of simplicity, performance, productivity and longevity.
The Simpsons episode was referencing the media frenzy when this happened in 1999.
Lorem Ipsum mortuus est. GPT to generate demos
Is someone still using Lorem Ipsum text and images taken from images banks?

I am working in a few websites and web apps ideas for some projects, and just figured out I was generating all the texts and images using AI. And -probably the most interesting part for me- doing this I have found inspiration to improve the projects! For example, generating demo reviews for a coffee shop website, I got some ideas to improve styles and add new sections to the site based in the fake review generated by ChatGPT. As well in some images generated with AI as placeholder I have found interesting colours combinations and great "vibe" to remake some components.

So, with that I came out with the question... is it already something everyone is doing? Or there are still people generating demos with lorem ipsum?
Importantly, Liu’s books basically abandon the very same idea in the second and third books of the series (aliens that very actively battle across the galaxy and have many many opportunities to interact, which kind of undermines the premises of the dark forest argument)
It is no more a military agency than NASA or the USGS. Having military customers doesn't make an agency or company part of that military.
Yeah I once had my old Macbook Air get insanely hot to the point it felt dangerous. I left it in the sink (dry and in case it blew up it would be somewhere non-flammable) to calm down and it was fine a few hours later.
Don’t forget, occasionally the trajectories get perturbed.

If it helps you sleep at night, over the billions of years earth has been in its current orbit, it’s already ‘eaten’ all the high risk asteroids.

What we’re dealing with now are very much the long-long-long tail hazards.

Which do exist.

But the earths crust was molten in it’s early life
due in some large part due to persistent and high volume infalling asteroids, and that time is long gone.
Right: hosts - or symbiotic life forms are a perfectly legit way to go. Plenty of them. And some form of "augmentation" might more socially / politically acceptable (ugh) than "AI on the loose".
I'm frequently nearby the Apple Infinity Loop. A couple years ago I constantly saw the Apple Lexus cars with the radar (?) and other equipment driving around the neighborhood every day. These days I very rarely see them. Maybe once or twice in the past few months. Definitely feels like they've dialed back quite a bit.
Change in goals. Adding "more".
Hmm, then the challenge is to find a more efficient confinement for a fusion reaction.
I think that the issue is less "passive investing" than "massive participation in defined contribution retirement plans," combined with the ultra-rare (ish) constituent change of the S&P 500.

Once a company gets in, it won't leave for a very long time, and during that time period there is going to be $X buying your stock every month regardless of price. In fact, you could argue that this is reinforcing the EMH! The market knows that somebody is going to stop by next week with a big pile of cash and say "I'll take however many shares you'll give me for this money". So why would the market let currency fluctuations influence the price any more than it has to?

If you aren't in the S&P 500, on the other hand, you have no guarantee of a big buyer just around the corner. You have to make sure that your asking prices are as closely aligned with bidding prices as possible, or trading volume collapses.
That's a heartwarming story. Unfortunately it's bullshit.
* localStorage is small, volatile, OPFS is big/durable

* main thread <-> db vs main thread <-> worker <-> db:

- firstly, sqlite with OPFS has to run in a webworker

- even if it was possible to run in main thread, this approach allows for a code structure that is similar to a traditional architecture (frontend/backend split) and it's easy to route some request to the web worker while let over request fall through and reach backend server and not needing to worry about that in the "frontend code"
> whenever she brings this topic up and I show her the actual safety ratings for different vehicles, it’s almost as if her brain shuts down

The NHTSA safety ratings come with the following notation:

"Note: A vehicle’s rating, or Overall Vehicle Score, can be compared with other vehicles of similar size and weight"

She may be, whether knowingly or not, interpreting the data offered more in-line with the guidance provided with the data.
I personally hate dishwashers that don't heat up their water. I've been to multiple places where "hot water" stats being hot only after 5-10 minutes. It greatly reduced dishwasher efficiency.
What is your pitch to existing Prismic.io customers? I didn't see Prismic in "Compare to..." section.
Compared to the reality of the situation, I agree that it’s garish, but psychologically, people in cushy situations tend to over-dramatize their setbacks. If they _think_ they have nothing to lose, they will act foolishly just the same as if they really do.

If a billionaire slams his toe on the leg of a chair, it still hurts, and being sorry for his real pain isn’t denying his otherwise staggering privilege. It’s an excellent example to use to have him empathize with others. If you want to make them act in society’s interest, you can point out that paying taxes or enforcing environmental regulations won’t prevent them from being rich beyond words.

An engineer worried about being fired experiences genuine distress: you can empathize with that there and then because it’s real. Once they have a job, ask them to be more considerate when designing processes or buildings so that everyone can work comfortably in the shade or without having to fear how they are going to feed their family by the end of the week.