skysight-inc/HackerNews huggingface dataset:
But they have highly likely internal prototypes with higher bandwidth and latency. Also, with distilled latent diffusion one can probably generate text(-images) much faster anyhow as it could produce long chunks of text at once, rather than needing recurrently feed back the new token to the inputs.
> PyPI is useless

Why will it be "useless". Explain your reasoning please.
I wasted a decade of my life on the notion that you can bootstrap a startup. It is hard mode and the folks that are so dismissive of VC funding should have that disclaimer.
Counterpoint - I just want android auto.
And if they’re poorly run, the company goes bankrupt or gets bought out by a stronger company. The government isn’t subject to that kind of check, except in the most catastrophic case.
Many good ideas will not work well on MNIST (e.g. batch norm). Inversely many bad ideas may work on MNIST and no[t] transfer to real [computer vision].

Unless your dataset is more similar to mnist than to “real computer vision” (eg galaxies or piano rolls) and you still want to use deep learning to classify it.
> Perhaps PLA believes that bleeding Russia dry via America expending all of her reserve weaponry means that that American combat power can't be used in the Pacific.

They are seriously mistaken. Unlike Europe whose capacity in manufacturing anything from ammo to tanks and jets has gone downhill over the last thirty years and who haven't seen an actual fight since the Balkan wars and the early years of Afghanistan, the US has logistics nailed down and is in well-trained condition from the adventures of the last twenty years. Should China ever decide to enter war against the US, it won't end up pretty for them.
In a way the tremendous success of YC drove this false belief that :

- Creating a startup is fun & rather EASY success.

It's not.
It's never been.
It will never be.

I am fifty three: I now know.

I also was a teenager then a young adult, influenced by "entrepreneurs" of their time.

Entrepreneurs dream is RISKY.

Start-up's future is 90% of the time doomed.

Worse : Chance plays a big role.
Very few real people actually care. Certainly, if you post anything at all onto a sub Reddit, the gatekeepers of that subreddit will likely come out of the woodworks to cut down anything that doesn’t conform to their strict and limit view. Especially if you have something to sell, or have something unique to bring. It is precisely that kind of anti-growth mindset that has taken hold and destroyed the fun and potential of the web, and it is the last place we should be seeking validation for any kind of view. The true elephant in the room is that those gatekeepers are generally sad individuals who have disproportionately large effects on public discourse.

Just seems like a very harsh moral judgement on the author, who is operating well within the moral and legal bounds of business.
What is algolia?
For instance, F-Droid only permits software that can be verifiably compiled by them.

It essentially bans binary blobs yet it is very useful.
Podman has been a massive disappointment for me. I stupidly gave up my docker desktop because the company was trying to make cost savings and it was supposedly a drop-in replacement.

Some short-lived containers like our repo’s linter takes easily 4x as long to run in podman as it did with Docker. Immediately I have lost productivity.

It’s incredibly unreliable, every time I start my computer I have to podman machine stop then podman machine start because there’s something broken about how it gets initialised at startup. I’ve spent ages debugging random broken functionality.

It doesn’t support docker-compose. There’s a community project called podman-compose, but it’s not great because it won’t do stuff like build containers concurrently, and it has random weird quirks about volumes already existing when you do podman-compose up —-build whereas docker doesn’t complain for the same compose file.

Overall podman has been a massive regret for me, and I wish I hadn’t given up my docker desktop just to save a minuscule amount of money.
> I doubt that, given that you never tried it, nor drugs.

By knowing I mean "understanding". I.e. I understood the concept of addiction and realized that I'll probably "like" alcohol too.

Sorry to hear you had to experience that. I think there is a theory in psychology that explicitly asks this question - how to let people reach their maximum potential in wellbeing and flourish (which, of course, also means not wanting to kill themselves). It's a Self-Determination Theory (SDT) and it's a main theory in motivation, is very mature (70+ years and 1000+ studies and experiments) and all modern parenting/educational/sports systems take roots in SDT. For me it was a worlview changing theory, so I'd recommend to familiriaze with it.
Ok, so if a startup wants one to develop their MVP as a one month long job application step, then that can be suspicious. Whilst if they have their product and software working already, then, less suspicious
I grew up in a family of successful small entrepreneurs and surrounded by their contacts and friends. I myself chose to get employed in IT and I've been like that for 20 years. A couple of years back I was starting to get the feeling that I'm not all I could be, that maybe I should start my own business and make "real" money. I presented this idea to my father during a lunch with a few of his business partners. The overall sentiment was "Fuck no! The money you're making working 9 to 5? You'd be crazy to give that up for all the trouble a business brings." I was quite surprised, not even one of them supported the idea and most envied my life style.

I could go into how success in business is a lot about who you know and it's quite far from a fair playing field but I don't think it necessary nor do I want to write a book here.
Some similarities exist in many other businesses like music, games or sports. The distribution is varying degrees of L-shaped. The few successful ones are very successful while most are making a loss.

Another key concept is asymmetric risk to the individual. The way it would make sense to an individual to be an enterpreneur is if they can reduce the downside, ie that failing will not result in a personal catastrophe. For example if they had a lot of money to start with. If you have enough savings to live (and feed your family) for a few years without money, then it makes a lot more sense. There are other methods like incubators or collectives.

And the third one is survivorship bias. A lottery winner telling everyone what kind of pen to use to fill their ticket. People might not know very well why they were successful.

Fourth one is "selling picks to gold miners". There's this business and buzz around enterpreneur culture, someone can make money right out of that without actually being an enterpreneur. No matter what it is, somebody will turn it into a meta business. Fishing is a big business. In the sixteenhundreds, Izaak Walton wrote a successful book on angling. https://en.wikipedia.org/wiki/The_Compleat_Angler
Because there is a lot of money to be made selling lots of a cheaper product if you can produce it profitably. Besides that dealers are typically willing to sell such smaller vehicles at or near their own purchase price counting on the recurring income for service and fleet sales of such vehicles tend to be quite profitable because there is only one signature but a very large amount of money involved.

Mercedes is a nice example of a premium brand, they make more money per car and a bit more money in total on lower volume. VW (or rather, the VAG group) is simply a different kind of company. But their profits are nothing to sneeze at.
For python at least, most of the dependencies are very justifiable. The python stdlib is very huge and satisfies most regular programs such as glue code. But for web and ML it is not possible to include these libraries in stdlib nor is it feasible to write it from scratch
Isn't net profit absolute though, i.e. directly comparable between the two organisations. Long tail of cheap vehicles probably does help VW stay resilient long term (perhaps in the current economic climate / recessions).

It seems targetting volume could be detrimental to net profits under current/recent market conditions. Selling fewer, supposedly more upmarket vehicles has allowed Tesla to out perform VW.
Personally, I have a problem with the term lifestyle business. Without plenty of VC money, building and running a business is hard. VC backed up start-ups fit the "lifestyle" business definition a lot better, IMHO. One can play CxO, or chief engineer or whatever fancy title one wants to hold without putting the effort and years in, without actually worrying about those nasty things like profitability, cash flow or actual products. And, with the right connections, if one start-up fails one can still just start a new one.
This question might be off taste, but.... what are your actual skills? what can you actually do in your life? can you program? can you reverse engineer? can you design? can you market? Have you ever had a salaried job where you have matured a knowledge about how a product is planned, designed, produced and shipped?

If you exit college with not ulterior education, building a successful business is extremely unlikely. You first have to at least know how stuff works in the job and products market and you have to study a lot about tech entrepenourship to avoid all the pitfalls and dumb errors that many inexperienced people make.
a search SaaS
There's this[0], using NREAL Air glasses.

[0] https://www.youtube.com/watch?v=LauvOTnZMZg
I agree on the importance of timing also regarding the then new weapons the Germans had, like the V2 and the first jet airplanes. We'll never know, but it is possible that having one more year of research and production at disposal could have changed things.
Probably a mini Cthulhu or something
> What’s the analogy to pip, npm, cargo, etc.?

mkdir and cp basically (or git submodules if you want to get fancy)
> It's also the constant stream of digital nomad influencers on Twitter who sell extremely distorted, rosy, and often times false dreams to indie entrepreneurs like myself.

I believe that all sales are about selling into peoples dreams. I am sure that the false dreams you refer are an extremely good business and a willing market, because - who doesn't want to buy the dream of being a successful entrepreneur?

Ironically, assuming these people are creating products primarily based on their own experiences, there might not be anything false about it - it's just that you've trying to sell into less desirable dreams!

Fundamentally I believe that for me it is impossible to passionately pursue stuff I am not really interested in. This limits the desirability of the dreams I can sell into, and I have come to terms with that. You might even think of this as bad luck.

I've also come to terms with the fact that I have to create for myself first, and any interest I get from other people is purely a bonus. Obviously that doesn't pay the bills :-)
> Nothing else from Linux kernel is considered part of Android's public API.

Just a bunch of syscalls for apps, that yes, could be reimplemented (the number of re-implementations in the wild actually says how much Linux is becoming a lingua franca of OSes) or virtualized; the whole security model (users/selinux/seccomp) and the toolset.
Quite the opposite. I've fixed bugs on my second day on a job when it was a simple, testable monolith - the way it SHOULD be for most companies still.

In a distributed system, a small change can have a giant blast radius. You don't know if the service you are touching was part of resilience testing. There are hundreds, it's easy to miss. What if you make this microservice throw all the time? What happens? Does it bring down anything else?

I don't understand why people still think that microservices make things easier. Distributed systems have always been insanely complex to reason about, and that never changed because Node or Docker, or something.

He even complained that it was impossible to get anything working locally because everything was so interconnected and complicated, so there is your answer.
> Why do "indiehackers" want attention from and create products for other "indiehackers"?

They’re influencers. That’s why people want their attention.

I think it kinda has the look of a cool lifestyle from the outside (to some). They’re digital nomads and they travel to cool places and meeting cool people and tweeting big graphs that go up and to the right. They disavow lots of possessions (again a nomad) while professing being all tech all the time. Once upon a time tech-entrepreneurs might have rented a shack in Palo Alto, but now they tweet while couch surfing in Lisbon. Silicon Valley is too crowded when you’re solo.

I would take a house in Palo Alto over an airport lounge and an AirBnB du jour but the nomadic life is honestly cheaper and seems attainable, if only I can build that indie business.
This compiles:

ref ubyte[n*2] requires_ptr_twice_as_large_as_input(uint n)
(
const ref ubyte[n] input,
ref ubyte[n*2] output,
) {
output[0..n] = input[0..n];
output[n..2*n] = input[0..n];
return output;
}

void main()
{
ubyte[10] input = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
ubyte[20] output;
requires_ptr_twice_as_large_as_input!(10)(input, output);

import std.stdio;
writeln(output);
assert(output == input ~ input);
}
Where Germany certainly fails is providing energy at consumer-friendly prices. We pay almost three times as much for electricity as people in the U.S. on average. Close to Denmark, who lead that ranking. Japan has to pay about half as much.

https://www.globalpetrolprices.com/electricity_prices/
My company has a large python repo. Anyone that develops in this repo on a Mac is considered a sadist because…

Running Pylint on a Linux machine in docker: 3 hours from no cache

Running Pylint on a Mac in docker: 9+ hours from no cache unless VirtioFS is used, which makes it closer to 4 hours.
Yeah I mean, there may be a goldilocks zone of sophisticated enough to remember 30 random strings of text but not sophisticated enough to need to remember 300 random strings of text, and yeah if it works for you that's awesome (I keep thinking I'll try and get my memory back to where it was when I was in college, but I keep forgetting to do it!! :P)

And yeah I think the big bad we're working against is people using the same password (or a password with some very small variations that's super easy to guess from a variant) across all their services. I'm sure almost everyone does this, I even know sophisticated engineers who do it, I also do it for accounts I don't care about. "Use a password manager browser extension" is the easiest thing for us former help deskers to tell people, and as long as that person didn't choose LastPass (which you should never have chosen, how many breaches will it take) they'll be in great shape.
> haven't seen depth info past the best bid/offer (maybe exists? I'm not an expert)

Most exchanges will provide arbitrary depth in way of a pure order feed. From that you can construct your price book, which gives you the levels of depth.

Some just expose the price book, some price book and order feed, some just order feed.

Some anonymize the order feed, some don't (I think typically in equities it's anonymized although not my asset class, but other markets e.g. power need to be de-anonymized and you can see the other buyers and sellers submissions).

However, that data doesn't represent the market price - I would look to constructing the fair price using the trades made on the exchange rather than the outstanding orders. From that you can create different lenses to view the fair price - e.g. volume weighted, time weighted, other types of averages.
Because they probably don't know another community. A lot of people are also inspired and copying what Nomadlist did, but that is a project aimed at precisely this type of wandering wannabee entrepreneurs.
-somnia is my favorite crypto ... or something like that.
As soon as I see infilling, I want to see if it can solve equations.

Prompt:

> let x = <FILL-HERE>;
> assert(x + 50 === 200);

Output:

> let x = 100;
> assert(x + 50 === 200);

Not yet :/
Probably not. I assess grant applications for government funding for commercial R&D (not in the USA). We do see some applications which we believe are written by AI, along with a lot written by grant-writers. Now to be clear: we explicitly don't care if an applicant has external assistance. The problem comes if the writer (human or AI) does not have the technical domain knowledge or the market knowledge and they don't get their customer to collaborate on putting this together. Sometimes you get chunks of text which make little sense in context; more commonly it is fluffy generalities where there should be specifics.

We have a very structured way of marking proposals. There are a set of questions, each with a maximum number of words, and a few PDF appendixes with a low page limit. For each question, we have say 10 marks, and for each band of 2 marks, there are criteria. Of course it can't be entirely objective, but the point is that any information not contributing to these criteria is discarded. Worse than that: some applicants end up burying the real information in words, so that it is difficult to tell what they want to convey.

When we get a good application, it is very clear that the writer knows the domain and knows the target market. The risk register is another give-away: if you can't guess the rough area of the project from the risk register alone, there is something seriously wrong. If you can get an AI to write that well, then fine, but you will probably need to involve it in managing the project as well. That day is not yet here.
The criticisms regarding chatGPT remind me of what was said about Wikipedia at its very beginning, that it was supposedly unreliable. I think we will have a good laugh in a few years reading these first comments.

There is no doubt that chatGPT is the future. It is certainly perfectible, but the existing basis is a revolution in progress.

In my opinion, there are two essential things missing for chatGPT to become the perfect replacement for Wikipedia and Google:
- The ability to activate a "system 2" or slow thinking (theorized by Daniel Kahneman)
- The ability to cite sources

And the cherry on the cake would be the ability to interact with images
Quora wants to help you talk like ChatGPT
I completely agree that the "grounding" problem is solvable. It shouldn't take too long before we have bots with much more reliable answers.

My worry, from working in the chatbot support industry, is that companies are not aligned to help you solve problems faster. If you get in touch with a real human being about a product issue, they may have sympathy with your issue, or get tired of you, and just refund or whatever.

Meanwhile AI support could have you keep trying less and less likely to work solutions until the sun dies. Companies don't always want you to reach the true solution, and smart AI can act as a wall between you and it.

Of course, whenever insentives are aligned, better AI may significantly improve the quality of support.
So then BMW and Mercedes:

BMW
- Market cap: $58.47 billion
- Q3 units sold: 587,795

Daimler
- Market cap: $85.59 billion
- Q3 units sold: 517,800
They usually outsourced software to the supply empire, and well, imagine software development, but in a waterfall, bureaucratic, cheapest first wins empire that is trimmed to produce one iterration per car version at best or the ocassionaly at service update.

If you want to become more agile and want to sell software as modules and updates, this quite physical seperate dependcy hell comes back to bite you. Its basically waterfall for every update.

BMW munich software department was famous for having no developers. Just specs and architects. People who were doing software developer "internships" there, were failed at some universitys cause that would have been a "NoCode" internship.

Software in this world was not a living product, thats regularly updated, its a off the shelf part made to specifications.

They tried to change in recent years, in reaction to tesla, but i highly doubt they can pull it off. Maybe in eastern europe, they have a developer/software culture.
> tells us the day before Christmas.

there is probably a technical word for this similar to when news is released Friday night to suppress it. what is that called?
* No discussion of how these techniques were developed.

* No discussion of why they were not found by other people in the past.

* No discussion of how these techniques could be used on other problems.

* A lot of calculations which would be left out as trivial by most graph theory papers (for example, calculations about the edge counts of subgraphs)
It can be done with Twitter, the problem was that Elon got too emotional about it. Icahn was already looking forward to a proxy fight and just kicking out people without changing the product too much, but Elon buying his lots of shares was an easier way to make hundreds of millions in profit.
That sucks. I know quite a few stories like that. I'm more active as an investor these days than as an entrepreneur, the projects I still run are more for fun than for income (or even potential income) and I can't tell you how happy I am that that pressure has abated somewhat.

It's annoying that even the successes tend to screw over the employees and more often than not the founders as well. Typical dilution by the time you reach series 'A' (assuming that that's all that you need to take off) is terrible and if you need more capital you end up working for banks and VCs.

If I were to start another company (which I am trying very hard to avoid) I would try extremely hard to do it without outside capital and I would do it in some boring b2b field where nobody else wants to go because it isn't sexy enough to be able to attract capital. That way you avoid several of the risks of starting a new company at once: you have a relatively safe niche, no outsider is going to jump in giving away their product just to grow market share and the people that will receive your product are going to be super happy simply because there is no alternative.
This is great point. Every idie hacker wants to scratch his own itch but doesn't realize nobody else will want to buy even if they have similar problems.
A lifestyle business is one you can do on your own and fit it into your life. Its goal is profitability only to the point of satisfying your lifestyle’s income requirements.

Historically to the term, people would retire to vacation towns (the lifestyle) and run things like bike shops or an ice cream stand just to have some income, not to be CxO and get rich.
Why don't you just win? Is there really any other option than winning? No. There isn't. Once you understand— and know— this then you won't be sad anymore.

I'd be happy to help you win!
VC-backed startups have a very different "lifestyle" from bootstrapped startups. Building the business is harder but running the business is much easier since you don't have the weight of exit strategy bearing down on you. Those external pressures are now showing up thanks to rising interest rates and investors asking questions.

You can't be coerced to make business decisions like selling out to a competitor or aggressively raising prices if you own the company.
Any sort of serious optimization work may require mulling over disassembly listings of compiler output (at least after you've exhausted the 'simple' high level optimization options).
The need to make money is not a universal defense of anything that makes money.
best to use what is the most secure. your own brain?
And there is absolutely nothing wrong with a life style business to begin with, the negative stigma is there only because certain VCs feel that you are a horrible person for not cutting them in on the action so they can diversify their portfolios.