skysight-inc/HackerNews huggingface dataset:
> This seems easily forgotten

I think an undervalued exercise is learning the history of a field. The value helps with this but also helps in teaching you how to tackle problems. Because you need to understand the motivations and things they had available at the time.

> ResNet strikes back

Don't forget ConvNext!

> how you could get a GAN to generate things out of distribution

OOD is a fuzzy term, used fast and loose. You're not really generating anything out of distribution. And remember that generative models are often improperly tested for generalization. Even most models are. If you tune your parameters on a hold out set, well then it isn't a hold out set, it is a validation set. You've provided additional information to the model: information leakage. There are also major limitations to all the metrics. You'll find the exercise with FID fairly enlightening. One major assumption is the belief that the normalization layer results in a normal distribution. Do you take this at face value? I also suggest looking into CleanFID. You'll find some surprising results if you dig deeper. Never fool yourself into thinking that metrics are objective, they are models. You can never directly measure the thing you intend to. Sometimes this proxying doesn't matter, sometimes it does. In either case, we shouldn't forget. To make this clearer, when you measure with a ruler you don't measure the length of an object in meters, you measure the length of the object in relation to your ruler. Go get a few and see how exact they are. Or go to your physics department, find the experimentalists and trade them a beer for rants on meta physics (Ian Hacking can be a good place to start).

> the official PGGAN code

It is a fork of StyleGAN

> TensorRT

It is general. In fact, you don't even require machine learning code. Though that is what it is targeted at. And I want to point this out, because it is an easy trap to fall into. One I fell into when starting and one many never escape from. Stop thinking about models and architectures as applications. See the forest, but don't forget the trees, the shrubs, moss, mushrooms, and all the other things in the forest. Look closely at the LLM and don't just find the differences between other architectures, but also find the similarities. It's kinda like people: easier to see the differences between us, especially because we're so similar.

> the theoretical, it looked interesting but very complex

I tell my students: you don't need math to make good models, but you do need math to know why your models are wrong. If you don't know what's referenced in the second part, seek out a mentor who will tell you. The barrier to entry is low but don't forget the fundamentals. It's like with any programming. Your success can cause you to stop progressing because "why do I need more when this works?" It's hard work, but highly fruitful.

Keep it up. It's easy to get discouraged, but don't let that stop you. You're not as far behind as you might think.
> somehow managed to get a job despite a lack of food service experience. I lasted a while—months, I think—but eventually got fired.

Bit of a tangent; I switch between knowledge work and labor a bit, and the biggest mistake I see people make is not altering their caloric intake or sleep schedule.
Me too. I avoid Yelp because they're worse than worthless, and I'm always surprised to hear that anyone finds value in them.
the psychology of sales is fascinating and alien to me. I admire friends who are great salesmen, and really actually enjoy doing some sales myself because who doesn't like having something valuable to show and share, but there's a side to it I couldn't handle as a living.

some people, and a lot of them in corporate envs when they buy something, they like the excitement of spending the money, but they want the feel like it was taken from them, and that they aren't responsible for it going wrong. they want the excitement without the responsibility, literally to be seduced.

nobody wants the truth, the risks, details, or anything real, they want a story that lets them press the money button without judgment or blowback, and that's what most sales are. I'm too neurotic for it and make a living doing other things, and tech people bitch about sales and marketing all the time, but as an art, I respect and appreciate it.
I'm not sure what will improve Twitter's PR and finances at this point but suing their biggest customers certainly won't help.
The operative word being "if". I'm kinda with OP here either way.
Please write more substantial and intellectually stimulating comments on HN:

https://news.ycombinator.com/newsguidelines.html
Musk's X accuses advertisers of boycotting platform in new lawsuit
What are you saying!

Hasina is the worse dictator Bangladesh has ever seen!

Yes she came through a election initially, but quickly converted to a autocrat in matter of few years, after the pillkhana massacre happened.

She murdered 400+ in a matter of week, and intended to continue if the official had not rejected. And in the first week she killed 216+ of which 75% had no political affiliation, and most if them was aged between 17 to 25.

Ershad, the first dictator killed 300+ in span of a year. We don't even know how much she killed in her total regime
What the pie menus in Blender look like:

https://blender.stackexchange.com/questions/153195/what-are-...

This seems to be separate from the fad of menus that look like donut charts.
Blaming "crime" is incorrect and suggests a lack of understanding of the dynamics at play.

1) Pharmacies don't want workers going after shoplifters. It's a liability if the worker gets hurt, and even if the shoplifter gets "caught", now the witness needs to show up at the trial for it to mean anything criminally. In other words, the company has to pay the worker NOT to be in the store. The LEA has to pay the cop that responds to be in court. They don't want this. The company's goal is to get the police involved only insofar as is necessary to get an insurance payout.

2) No one wants to go to jail for stealing shampoo. They're doing it because the options for decent work are limited. A shoplifter grabbing $200 of merchandise and selling it for $100 is making 3/4 a day's worth of the cashier's pay in like an hour (partly because corporate workers for that company are overpaid and making that in 1-20 minutes).

The solution has always been and remains to stop f*cking around with income inequality and opportunity hoarding, as a society.
If you gave them $117K a year they would be dead within a month ODing on the mass quantities of drugs they can now afford.
Money is not the issue with homelessness, and until people get that out of their heads the problem will not be solved.
Oh nice!

A thorny problem in my case is that the same item is named in 3 different ways between the 3 supermarkets which makes it very hard and annoying to do a proper comparison.

Did you have a similar problem?
A flaw in your argument: a VPN protocol that emulates the traffic pattern of an HTTPS connection is not the same as a TLS VPN.
(2010) Popular in

2010 (611 points, 127 comments) https://news.ycombinator.com/item?id=1492835

2015 (151 points, 40 comments) https://news.ycombinator.com/item?id=9947237

2016 (127 points, 75 comments) https://news.ycombinator.com/item?id=11667755

2018 (217 points, 92 comments) https://news.ycombinator.com/item?id=17170593

2021 (271 points, 134 comments) https://news.ycombinator.com/item?id=27984570

Recently related Spot the Drowning Child (2015) (189 points, 180 comments) https://news.ycombinator.com/item?id=40906210
same here, but its inevitable and i have accepted it as the price to be able to stram all the word's music from the comfort of my phone.

That's why we are building MyPie (mypie.app) to allow fans like us to reward the artists they stream only. Check it out we are in open beta right now.
Clearly explains the crumbs around be office chair
Reddit is better than Yelp (what isn't?), but I haven't found Reddit to be particularly useful for this sort of thing.
YC is doing a first ever Fall batch – applications due by 8/27
If you think the market will move in your favour, offering collateral means you avoid selling at a price you think is suboptimal.
Lamborghini's biggest EV challenge? Not being seen as "fake," says CTO
in _general_ sure, but if you restricted each token to conform to a Kleene-star grammar you should be able to guarantee that you get something that parses according to a context-free grammar
Breaking up Google how, precisely?

1. Search

2. Browser

3. YouTube

4. Cloud

5. Gsuite

etc.
Cloudflare has made it too easy to access your homelab on the internet
> I'm never going to choose a restaurant where I can't see pictures of the food and the menu before going ever again.

That's certainly a choice, but you're missing out on a lot by doing that.
I don't recall ever seeing porn spam in my ~8 years of using the site pre-Musk. Probably a few incidents here and there, but nothing notable enough that I remember it happening.

If the skeleton crew has finally managed to fix it more than a year after causing it, I guess that counts for something.
I much prefer the Twitter of today. Since I'm a grown adult, I can handle some mean words being seen by my eyes, and just ignoring what I don't like. It's nice seeing a balance of both sides of an argument now, rather than only seeing the left biased information.
Latent diffusion models operate in latent space. This space is generated by an encoder and decoded back into pixel space by a decoder. The encoder-decoder form a generator which is trained to have good visual quality through the use of an adversarial loss.

So the encoder produces a latent space that is more efficient to train a diffusion model on, since diffusion models use Unet-like architecture that must be run many times for a single inference. The latent space is restricted by a KL penalty to a Gaussian shape such that any sample from that shape will map through the decoder to a high-quality image. This makes the generative job of the diffusion model much easier because it can focus on content and semantics rather than pixel-level details

You can see the two optimisers at work in the AutoencoderKL class in the Stable Diffusion source code here: https://github.com/CompVis/stable-diffusion/blob/main/ldm/mo...
Are they upgrading the tracks as well? Diesel trains can run at 80mph no problem, which is about the maximum any standard US railroad supports. If the track is built to high speed standards you could go faster.
Extropic: Thermodynamic Accelerated Computing
You are doing a great job of simply parroting Russian propaganda points here.
I would guess many of them are lonely and are just happy for the attention.

My father made a friend, an elderly man, who was being taken advantage of by some locals. Basically helping themselves to anything in his house, asking for cash, drives places, etc. And he was glad to give it because he had no one else in his life at the time. What's money with no one to share it with? Finally met my Dad, who, thankfully, got his friend to move out-of-state to live with his only surviving family before he passed
Danger stress is an AOE (area of effect). A single shooting in a city mentally harms/affects 100x more people than in the burbs.
This is a great point. "More common" wasn't the best choice of words because it implies a higher frequency, which was not the case. "More acceptable/accepted/normalized" would have been better phrasing.
Ah, yes, consistent spying on workers to make managers feel better. How about you feed each frame to an LLM for AI powered productivity monitoring? How about you incorporate web cam for next gen AR AI companionship? How about you make it customizable so that managers can easily roll out and maintain appropriate cultural practices? Studies show synchronized boot clicking, twice daily, can foster excellent dedication and energy to the improtant taskd at hand. Zillion dollar idea buddy.
To expand on point 3, unlimited long distance and VOIP. At least before 1984 things like long distance calls where HYPER expensive via AT&T domination of the long distance market. After the breakup the market slowly trended to unlimited long distance.

After that point it required the invention of high speed internet and compression algorithms. Calling internationally over dedicated channels remained insanely expensive even after long distance mostly disappeared. Now the foreign call is handled via IP until it reaches the country of origin and is dumped into POTS via a local VOIP provider.
> What area do you live where this is true?

I'm not who you're responding to, but this is certainly true in my part of the US.
We've had this for over 1 year in Lamini - https://lamini-ai.github.io/inference/json_output/

Works with any open LLM, including Llama 3.1
And in Lisp I can end an expression such as this with:

)))))

which allows you to quickly see the expression has been ended. I think Lisp has had trouble when people attempt to use parenthesis as begin/end markers and put them on separate lines and try to line them up vertically. Don't do that!
If it’s for raid system, I would be less reserved about QLC.
Yeah, AIUI the Chinese government cares that Chinese citizens can't bypass the GFW, but either explicitly or implicitly does not care if foreigners do.
Valid JSON, sure, but that key does not conform to the schema provided in the example. The LLM must generate valid JSON that also conforms to the provided schema.
We didn't cover this in the announcement post, but there are a few reasons:

- The first request with each JSON schema will be slow, as we need to preprocess the JSON schema into a context-free grammar. If you don't want that latency hit (e.g., you're prototyping, or have a use case that uses variable one-off schemas), then you might prefer "strict": false

- You might have a schema that isn't covered by our subset of JSON schema. (To keep performance fast, we don't support some more complex/long-tail features.)

- In JSON mode and Structured Outputs, failures are rarer but more catastrophic. If the model gets too confused, it can get stuck in loops where it just prints technically valid output forever without ever closing the object. In these cases, you can end up waiting a minute for the request to hit the max_token limit, and you also have to pay for all those useless tokens. So if you have a really tricky schema, and you'd rather get frequent failures back quickly instead of infrequent failures back slowly, you might also want "strict": false

But in 99% of cases, you'll want "strict": true.
What I find interesting and different about this diet is that it's a total replacement of your existing diet. It doesn't involve calorie counting, food pyramids, or vague suggestions to eat "more vegetables", "healthy oils", or "less snacks".

I assume that you get a box in the mail with your food, marked for specific meals, and you can only eat what's in the box and nothing else. There is no deviation (unless you cheat) but no complaining about the cost of food or difficulty of preparation.

Also I expect the number of people who could follow this diet to be extremely low, but I also don't know how it would compare to the average dieting plan.
Well it definitely scales, but also has a constant cost of entry, which probably would make it unsuitable for "small startups" - all details are in the paper.

However, if you read through the bibliography, you might notice that every so called "hyperscaler" and many network operators of similar scale (e.g. academia) uses something similar.
Not getting liquidated at a loss.
My ex used to write car commercials, and I asked her why they all had that goofy tone and all sounded the same in a weird way. I told her that I couldn't remember a single dealership from all the commercials I'd heard, since that tone lets me filter them out. She told me that was just because I wasn't in the market for a car, and if I was, that same tone would make the car commercials stand out. Sure enough, when I was in the market for a car years later, I realized she was right!
>Selective enforcement of law based on moral preferences leads to bad places.

Maybe go after wage theft and employment discrimination?

It's strange to me that people think that the source of "low trust" is the people with rather less power in society, versus the people with more. Most people begin life more than willing to trust. It's when someone who is supposed to be looking out for them betrays that trust that they become embittered.
Space Dust and Where to Find It
Yet, they still choose to work under him. I go by actions of people to get their real beliefs.
The article suggests that its author would have enjoyed an opportunity to work with the disreputable firm Stratton Oakmont, and that their motivation to do so is purely personal gain.

And while this alone would cause us to doubt the character of the author, they then go on to claim that "we", the readers of the article, share this amoral viewpoint. Or perhaps implies that we _should_ share it if we don't already.

I find this outlook to be reprehensible. Even thinking about it causes my stomach to tense.

(There, 3 paragraphs that say exactly what the OP said in 1 word. Happy?)
This is actually good. "Thanks for your time, the BRAWNDO CORPORATION won't call you again."

If you manage to end it in 3-8 seconds they can do 360 such calls in an hour. If the guy costs $12 per hour that works out to little over 3 cent.

And then, 20 months later a % of the "fuck off, leave me alone" guys need the product and remember how polite the call was. These usually do a good bit of research. They clearly call for information. If the price is good and they live 3 blocks away there are good odds they let you mow their lawn.
With the complexity and the performance cost considered, I don't think there is a piece of code that is worth writing in C++ that also don't need to care about types.

auto introduces quite a bit complexity to already complex C++ code. It behaves completely differently in lambdas. Using it as the return types usually causes implicit and costly conversions. Using it with primitive types is basically a booby trapped temple for juniors who didn't burned numerous times and mere mortals who don't have time to learn cppreference by heart.

If I don't care about types, I would use a higher level language.

Yes a compiler will give warnings and whatnot, given you have a modern enough one and somehow constantly running it. It is costly in time though. CI builds are not free. Developer time is less so.
From a cursory glance, it seems to be Wireguard + TLS

https://github.com/ProtonVPN/android-app/blob/fc9e7f500fe56b...
McDonalds can fire you for any reason in my state. At any time.

When you're renting yourself to authoritarian institutions like corporations, there is no "self respect" required for you to always take the best deal for yourself whenever possible.
Discussion at the time (1221 points, 5 days ago, 229 comments) https://news.ycombinator.com/item?id=41133917
Google TV for two completely different products. The initial one was an OS on Sony / Logitech devices that came out in 2010.
https://en.wikipedia.org/wiki/Tsung-Dao_Lee
This website having the line "By UNIVERSITY OF GOTHENBURG" makes me think this is one of those dubious-quality fake news sites (Similar to ones that show the picture of wave height after the Fukushima earthquake and claim it's showing the spread of radiation from the Fukushima nuclear incident): https://www.snopes.com/fact-check/fukushima-emergency/

Indeed it's a copy-and-paste (plus sensationalized title) of this release from the actual university: https://www.gu.se/en/news/a-whole-new-view-on-glacier-meltin...
> traders have been liquidated

Sounds like something out of Squid Game. /s
I dealt with the Twitter office move stuff and there was a real honest to goodness push to get is to love to an office in South San Francisco so we could avaint the payroll tax and have parking. Had it not been for the tax break I suspect they would have left SF completely.
I visited Fisherman’s Wharf last year after dark and it was pretty poorly lit and not that clean. Maybe for a company where employees are expected be “extremely hardcore” (i.e. long hours) that is a consideration.

(Although if you’re truly hardcore you don’t care what the street looks like, you sleep under your desk.)
> If it has a good score with lots of ratings then it's probably pretty decent.

I haven't noticed this at all. As near as I can tell, the rating of a restaurant on Yelp is completely uncorrelated with how good or bad the restaurant is.
Thank you so much.

It could also work for parties - create a playlist of approved songs, ensuring only those tracks can be played. ;)
> every team leader in the world wants a continuous feed of their remote worker's desktop.

"every" -- why?

Do high-performance teams have low or high trust?
Yeah, I’m not buying it either, I did a quick google map survey and it seems that commute times goes between 20-40 minutes between the Mission and South Park, depending on where in the Mission you start. In all cases biking is around 20 minutes.

Meanwhile only the trainride station to station between Menlo Park and SF is 45 minutes minimum (6 stops), assuming some commute time to the Menlo Park station and a 10 min walk after the train arrives, 50 min is cutting it short.

The commute from Mission gives you a variety of options, you could even walk it if you have the time (personally, I used rollerblades when I lived in the Mission and worked maybe half the way to South Park).
The DMCA is the United States implementation of the World Intellectual Property Organizations treaties. So there likely is an equivalent statute in your jurisdiction.
Anyone in the industry able to tell me where WD sits in the flash space?
I use WD for my HDDs pretty exclusively but had assumed their SSD offerings were mostly white label drives they slapped their name on, are they a real competitor in the space?
4. Eureka
Totally tangential, totally not related to the post (unless you squint your eyes and really blur things) ...

I was thinking about the old canard of the sufficiently smart compiler. It made me think about LLM output and how in some way the output of a LLM could be bytecode as much as it could be the English language. You have a tokenized input and the translated output. You have a massive and easily generatable training set. I wonder if, one day, our compilers will be LLMs?
A. Thanks a whole lot

B. Nothing that serious, it can definitely be a webapp. And currently working on doing that. I'd be happy if you'd like to contribute.
I don't think I need to explain why it's unintuitive that multiplying two unsigned numbers sometimes results in a signed multiplication, even though signed types appear nowhere in the code. I couldn't tell you how many times I've seen some DSP application taking uint16s and throwing them into a filter without realizing it could be UB.

Language standards shouldn't rely on compiler options to save developers here. There's a lot of compilers in the world that don't support the same range of options GCC and clang have, like CompCert. Those are often the ones building safety-critical applications these days, where trapping would be inappropriate.
Mine is set to back up automatically every day, but I never had to restore, touch wood. Occasionally the icons go wonky until the next restart, but that's the only issue I've beer seen.
On the off chance no one here answers, maybe try asking on TUHS? https://www.tuhs.org/mailman/listinfo/tuhs

(Doug and Ken were still posting there as of last month, and if anyone knows what Dennis' testing habits were back then, they would)
Just another anecdote but I concur with you--10 years of commuting experience in the Bay Area tells me that the most likely bodily harm I will experience is behind the wheel on the freeway, not from homeless / mentally-ill people wandering the streets. I have been involved in two car accidents on 580 (not at fault) but zero bodily harm on BART.
You don't understand? Seriously? The terrible policies that are broadcasted everywhere online, through both text and video, isn't enough to understand?