skysight-inc/HackerNews huggingface dataset:
>maintaining the status quo is just as, if not more, selfish than protesting the system with a non-payment.

The point was that your approach won’t change the status quo, just makes it a little more expensive for everyone else.
The stark truth is that no one in the public really knows, yet, because there still hasn't really been any outside investigation of what happened. Netanyahu is pushing hard against such an investigation, btw.

The little we do know doesn't seem to point to him being a single point of failure - it does seem like there were many warnings, but for various reasons being uncovered now, it looks like several people in the establishment discounted these.
smoking on that dinosaur pack
Grog kill mammoth with bare hand, but girls like tool-making Chad. Not fair!
> What I mean by this is, if you’re building in public there’s a 99% chance you’re going to end up building products for other indiehackers who are interested in following people who build in public.

Sounds a bit like a variation on Conway's Law.

https://en.wikipedia.org/wiki/Conway%27s_law
> Improved fuel efficiency is also a selling point, but not the main one.

Great, this new claim isn’t wrong, so now we agree. ;)

The base model Cayenne can’t do any of the stuff you described, you’re talking about race-equipped cars, which isn’t what Porsche is selling at the base model. You could argue the exact same thing about almost any car manufacturer; most of them compete in track and off-road races. Subaru would be a great example- their consumer cars share design elements of their rally cars. That doesn’t mean an Outback is an exotic supercar, just like it doesn’t mean that a base Cayenne is either exotic or a supercar. In fact, it’s not. The lowest 2 Macan models are even slower than the base Cayenne. These are just “nice” cars, compared to cheaper brands of family SUV commuters, not high performance cars.
People arrived to this shore after having experienced that what they considered unbelievable and untenable is actually believed and held by some - who may not even seem to be particularly an uncommon tail of an emerging population.

And this is why a good '/S' keeps you safe from misunderstanding.
People are not going to therapy if they're dead, and those hotlines are for helping people find local resources
An out-of-band URL to the data without instructions on how the slice of interest was requested is not what I described.

If average people can follow the steps in detail, they will probably not contribute observations of significance, but the ivory tower effect would diminish. Otherwise people will just think of all the particle accelerators as very expensive nonsense they don't support.

And yes, I think there is a lot of precedent: look how the LLM community is blooming and all the money being poured in. Average Joe can interact with a chatbot online, Average Joe runs into tutorials and step by step instructions to run a local LLM, etc.
This is more than a free market vs state argument.

This type of thing is a characteristic of any large system - there will be gaps. (I’m trying to explain but not defend these gaps).

Unfortunately, some things only work if it’s a large system, like insurance, government, and AT&T.

For instance, in countries with state health care, there are also serious failings like this kind and of other kinds. For example, by keeping prices low, some of these systems restrict supply. This means long waiting times & lower rates of innovation.

Here in Canada, we have government insurance, not health care, and though it’s been good to me, it’s not perfect. Central control is not some silver bullet, and neither is the free market.
We justified the upfront cost by treating ours as a cheap second car, rather than as a very expensive bike. It's been an incredibly positive experience for our family.
That's not how markets work. If there was a surplus of doctors, you would have a lot of private practices at low out of pocket prices and no need for insurance whatsoever.
It doesn't have to be economic if you want it.
You're absolutely right. I use PDFTron (through CloudCovert) for full document OCR, but for pages with fewer than 100 characters, I switch to this API. It's a great combo – I get the solid OCR performance of SolidDocument for most content, but I can also handle tricky stuff like stats, old-fashioned text, or handwriting that regular OCR struggles with. That's why I added page numbers upfront.
It's not reductive at all. Telling someone that they are only worthy of torture or destruction for not believing in an unprovable entity is actually worse than that.
Man, they're really pushing this. People are people, except Black people. They have not quite evolved with the Neanderthal/Denisovan "upgrade". Probably flagged, because I may be sarcastic, but some will believe it to be so
. Archeology can be such a farce. Find bones, make up story. No wonder it's littered with so many gaffes.
(Clearly not North America)
this is awesome! loved the read
> all this price gouging

Price gouging is short term and localised. If you truly think you’ve identified a mispriced product, this is HN. You’re capable of more than loosely complaining about it.
Display hidden control characters:

python -c "f = open('file.txt', 'r'); f.seek(0); file = f.readlines(); print file"

That hasn't been updated for Python 3, and I really don't think it does anything reasonable. The 'r' is not needed, the seek is pointless, and the output will contain the Python representation of a list of strings.

Use cat -v:

-v Display non-printing characters so they are visible. ...

Has Perl disappeared from general bioinformatics knowledge?
Spending 4000 EUR on a bike is all kinds of crazy, but nobody bats an eye at people spending 20k on a car.
I use on mine because the volume of write IO is low, it's a spinning disk, and it's mostly just a backup.

And, of course, because it's their default recommendation.
Kan or MLP: A Fairer Comparison
Middle Eastern funds are plowing billions of dollars into hottest AI startups
The way I see it, those are just a spin on "I did X for Y months and here's what I learned" articles. Clickbait at best but mostly those are just articles that fill void with words. Whenever I stumble upon those, I am never really buy into them. I am a huge believer in the idea of the American dream but in a functioning economy, this can only work a handful of times. Over the years I've attempted creating a startup and bootstrap it on my own or with a small team of friends and the one thing I've learned from those attempts(see what I did there...) is that it's practically impossible, even if you have the right idea and you get the timing right. Arguably I didn't get the timing right on a few occasions and I was way too early for the party. Had I waited for a few years, those might have picked up but the truth is, I sincerely doubt it. At this point, whenever I land on one of those indie gigs, I instinctively roll my eyes and click away.
How do you know if someone is a care provider or they just say so? ... and that's the problem with the patchwork of states, certification boards, semi-regulated honor systems interconnected with a fuckton of money.

And instead of sufficiently driving out scams[1] from the whole country (or at least from states) there are these mythical "allowlists".

[1] but then muh freedom! and MLMs and religious crazies and spiritual-woo-whatever crazies masquerading as religious crazies, and ...
better place a fan powered by a sterling engine.
> I really dislike that so much of hacker culture is $$ focused now.

I don’t think that’s hacker culture. It’s just the mainstream adoption of hacker culture, don’t let it replace the real thing in your mind. When lots and lots of people started playing candy crush on phones, it wasn’t gamer culture that changed, just the public perception of gaming.

There are still people out there who conform to the description you laid out. Are there lots and lots of them? No. It does seem to be a growing segment though.
Continues?
Not just groundbreaking, but zeitgeist shaping.

Session View (aka "clip launching") represents more than just a workflow - it represents an idea of what music is.

Some people might want to spend their time arguing over whether or how much or when that idea is correct. I'd prefer to note that in the 25 or so years since its debut, the idea has reshaped so much contemporary music whether it is correct or not.

The idea that you build up music out of sections that potentially repeat, then move on to another section ... it all seems so obvious to us techno-centric geeks. It actually isn't how most of the world has traditionally conceived of music, but the language that has been traditionally used has often had a structure that has made it easy to strip out the complexities, and the result is ... Ableton Live's Session View.
The only real incentive to provide good service in any industry is money and competitive free market.
> It was like that that they took my father's (christian) orphanage and school: pretexted the building was too old and needed reparation, put the Sisters and the kids out, destroyed the orphanage, settled the place. Easy. They probably thought the warnings were given to prevent them to build new settlements fast enough, and choose to ignore them.

I'm sorry that happened to him.
I don't think there was ever a time when you could succeed in the marketplace on the merits of your tech. Once the tech reaches the relatively low bar of "good enough", the rest is sales and marketing. In the most lucrative enterprise market, the "good enough" bar is even lower than in the much less lucrative consumer market because the people who will actually have to use your tech aren't the ones buying it. Technical quality likely matters the most to "customers" who don't pay anything such as users of popular open source projects.

If you want to make money from a good product then becoming a social media influencer who talks about your product is the most straightforward way to advertise without having to pay for ads.
Notes on Building LLMs in 2024
Here's what I'm observing about developing LLMs. What are others seeing?

1. Prompting a base model - very fast for prototyping - eventually hits an accuracy limit, e.g. after 100 iterations of prompts and around 4 hours of dev time

2. RAG - fast to set up, e.g. can build a pipeline within 1 day. Sometimes provides a decent boost in accuracy, e.g. 10-20% relative. It can also hurt accuracy, e.g. if the search misses and the model answers confidently. You can put in optimizations like query rewriting, MMR, reranking, etc. Once you do, if the model still makes a mistake you are somewhat stuck unless you are willing to edit the model or the search, which leads us into.

3. Fine Tuning & Memory Tuning & Embedding Tuning - 1-2 weeks to set up a data and tuning pipeline and iteratively improve it to go beyond the base model. However, at this point the accuracy uplift is unlimited but requires effort. You can keep improving the training data to focus on the classes/concepts that the model is missing to keep pushing accuracy higher and giving the model new abilities. If there is a fact that you want the model to get exactly right, memory tuning lets you brainwash the model, e.g. even if the index lookup fails, back prop into the embeddings will eventually fix the lookup.

Prompts and in context learning makes prototyping rapid. So you can quickly get a sense if a new application you are building is going to work and has value.

LLMs are getting more capable, but there are still some tasks that are currently impossible. E.g. LLMs can easily write basic code like 'reverse a list in python'. They can also build simple apps like a mortgage calculator. However, writing 'windows' or 'chrome' or 'git' from scratch is beyond them, regardless of how you prompt them. This same effect appears in other domains like finance, healthcare, biotech, materials, etc.

I usually start with prompting, and if it looks promising I add RAG to get the accuracy boost, and then do FT & MT for additional accuracy improvements until I hit a target.

If I start with prompting and it doesn't even get close, I would downscope and pick a simpler problem.

One very helpful trend is that LLMs can automate most data pipeline and labeling tasks. E.g. before LLMs if I had a task like, "read through 10,000 PDFs to find and label all of the entities", I would have to build a labeling pipeline with humans. Today, an LLM script can handle it in a few minutes if I have a big enough GPU cluster.

I think this is leading to a world where training/tuning LLMs can arbitrarily boost their accuracy, and the process of labeling data is becoming automated. If you put these together, we are headed towards fully autonomous learning AIs.

The limits will be access to data/feedback for learning, choice of objectives (alignment), capital for energy, and access to technology for compute (GPUs, network, etc).

I'm personally curious to see if there is an inflection point where the LLM becomes better at technology than us. Could it break the industry and national monopolies on compute?
"deliberate" and "horrible design mistake" aren't mutually exclusive (see: touchbar). I don't think anyone's suggesting Apple didn't recognise the conflict with charging and usage until after they'd made it.

Now we've reached the conclusion of this discussion with a good old "well that's just like, your opinion, man" I would like to add that the magic mouse is not as popular as their other peripherals. In fact, at least in the office I work in, people would rather use a £5 Amazon special than one of the spare Magic Mice laying around.
I imagine economies of scale are much greater with cars than cargo bikes. If it was possible to charge, say, 50% less for a cargo bike I’m sure someone would be, and they’d be taking the entire market with them.
I see your point, but I would disagree with you somewhat.

Every new startup needs to navigate the transition from early adopters to bigger names and/or more mainstream users who give you credibility and higher revenue potential. But it’s almost always done as a stepping stone approach. You need to get the early adopters first or else none of the rest matters.

Doing this is not easy so any conceivable advantage is worth considering. Of course targeting build in public and indiehackers are not the only possible strategies for getting early users, but if it’s working for you, don’t underestimate how valuable that is.

Of course I do agree about going into it with both eyes open and knowing that if you’re successful enough, you will likely have to evolve somehow toward another customer segment. But again, this is almost always the case no matter what your early adopter channels are.
Generally, uv answers the objection that ‘Python sux’ in that it (1) is correct, unlike pip, and (2) is freaky fast.
Yes, the title there really confused me for a moment.
> I would imagine that the driver cost is the largest driver.

In addition to all the other things: Any immigrant can ride a cargo bike. But in Europe, getting a drivers license is quite expensive in many countries. So technically, the van drivers are higher skilled.
> look how the LLM community is blooming and all the money being poured in. Average Joe can interact with a chatbot online, Average Joe runs into tutorials

Average Joe is consuming chat bots. He is not raising money or taking tutorials.
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Right, the LEAN/TPS application is readily apparent for assembling physical goods.

But do people use it say for large scale software which needs to be tested, certified, translated, deployed, etc? I can imagine such orchestration but I've never seen it professionally. Maybe I just haven't worked at the proper companies
Strong disagree. I forgot to renew a domain a while ago and contacted their customer support. They asked $150 for a domain renewal. Registered domain somewhere else for $10. Moved away from Hover since then.
I've found this method really useful for prepping PDFs before running them through AI. I mix it with traditional OCR for a hybrid approach. It's a game-changer for getting info from tricky pages. Sure, you wouldn't bet the farm on it for a big, official project, but it's still pretty solid. If you're willing to spend a bit more, you can use extra prompts to check for any context skips. It's a lot of work, though - probably best left to companies that specialize in this stuff.

I've been testing it out on pitch decks made in Figma and saved as JPGs. Surprisingly, the LLM OCR outperformed top dogs like SolidDocuments and PDFtron. Since I'm mainly after getting good context for the LLM from PDFs, I've been using this hybrid setup, bringing in the LLM OCR for pages that need it. In my book, this API is perfect for these kinds of situations.
Sadly Thread is 2.4ghz rather than the much lower and longer range Lora frequencies. It’s designed to be used within the home and between homes.
I'd amend it to: "If no one will pay for the solution, the problem might not be that important, or the solution is already commoditized."
You were previously saying that you could get the same thing much cheaper, but now you’re talking about how you want something different. That’s a valid topic but conflating the two won’t help.
I live in Germany. 800€/month for public insurance, some dentistry services are included - a lot aren't.

Lots of doctors only service patients with private insurance, so I sometimes just have to pay it out of pocket.

Specialty Care like skin is usually massively overbooked that you can't even get any appointment, as they don't accept any more patients.

Your experience in Germany is likely >10yrs ago before the system was sabotaged for private profits by our current health minister
Memory corruption, now on Android!

Just gonna leave this here: https://safecpp.org/draft.html#the-call-for-memory-safety

P.S. Was discussed on HN recently: https://news.ycombinator.com/item?id=41528124

P.P.S. The author has a great YT channel with awesome embedded systems projects: https://www.youtube.com/playlist?list=PLDRymMFQl3Nktk_pjlUP_...
It's not a free market if you're forced to participate in it. Which we all are, by virtue of being alive.
Looking past Nature magazine's unnecessarily fancy/clickbait title, the original work's [0] title is "Soft cells and the geometry of seashells".

[0] https://academic.oup.com/pnasnexus/article/3/9/pgae311/77546...
From my own adventures in colocation, i came to conclude that data centers are Narnia, in the worst possible way: you enter to perform what feels like 30 minutes worth of work, and somehow 8 hours pass before you see the outside world again.
My suspicion is that prices would drop a bit there was more competition on the market. That said: they are not really “mass” manufactured so I do understand the cost. One could probably learn a thing or two from car manufacturing to crank them out at a higher volume and lower cost. Presumably the investment cost into automation however doesn’t pay off.
You're right. For my API that prepares PDFs for LLMs, fixing typos makes sense. But yeah, keeping original text is crucial for most OCR tasks.
It's possible to implement shared history systems where newly invited members of a group can request access to the history of a group, while preserving E2EE security.
Comparing a cargo bike to a new car only makes sense if that new car requires no fuel, no significant maintenance, no tax, and no insurance.

A $5k cargo bike it’s almost certainly a e-bike, additional cargo bikes haven’t really hit the manufacturing scale needed for automation to make sense. So there’s a significant amount of labour involved in effectively hand building, and hand welding these bikes. Something that simply isn’t true for cars.

I also don’t think there is much price gouging happening with cargo bikes. Unlike cars, the barrier to entry for new manufacturers is practically zero, so if it was easy to build new cargo bikes cheaper, someone would do it.

But even if there was significant price gouging involved. Economically, a $5k cargo bike will have a total cost of ownership orders of magnitude lower than a car, regardless of cars price.
I love this document. I've been sending it to people who've just taken on their first people management job for a few years now - there's a surprising amount about managing a team of 100+ creative people creating a TV show that can also apply to management challenges in the world of software.

I particularly like the way it talks about spreading your vision. As a showrunner it's not possible to be there for every single decision that needs to be made (on costumes, set design, etc etc etc) - so instead you need to get some trusted lieutenants fully briefed on your vision so they can make good decisions like that without you.
>Israel now has a right to exist.

That's not something Palestinians are willing to accept, so any further peace talks until that changes are laughable.
This is an issue with a lot of online creator communities and people using them for marketing too. Way too many would be authors, artists, game developers, YouTubers, musicians, etc end up marketing their work in communities for their choice of art/project rather than in places their actual audience visits.

Unfortunately as you point out, while that can work to a limited degree, it will usually cap off pretty quickly. Gotta market to customers, not other creators.
The Guardian story misses out Louise Murray’s role in rescuing Fable

https://www.eurogamer.net/lionhead-the-inside-story
Lots of people won't pay for journalism anymore. You'd have a hard time convincing me (or most other people on here) that journalism is no longer important.
If the A100 pricing you've found works better for your use case, then go for it. I'm not here to convince you into something you don't need or want.

Please bear with me though, I would like to take this opportunity to explain a bit how this industry works cause I feel like there is a lot of justified confusion.

You'll find that there is no public pricing because it is usecase dependent. Everyone needs something unique and per/gpu/hr pricing doesn't really quantify the entire hardware stack. Inference doesn't need machines with 8x400G networking. One person needs a week, others need multiple years. Some people want CFD, others want HFT. Frankly, there is also a supply/demand aspect... not many companies offer or have MI300x for rent and we've taken on that capex risk for you.

That said, I can speak about what we are doing and where we are going that aligns with our overall transparency. We've got base weekly pricing now in public (which is competitive to H100's) and we're working on publishing a set of public % discount tiers that should cover longer term rentals. Eventually, we plan to offer inference specific hardware, for even lower prices, since it has different requirements that do not cost as much. We're also going to be offering an hourly docker experience soon too.

At the end of the day though, we're not trying to be the cheapest. We will let others fight that race to zero. We're trying to be the best in our own niche. That happens by picking the best data centers, best hardware vendors, professional next business day support contracts with Dell, and white glove customer support. This sets us apart and above the rest.

Those are areas that the capex moat, is very difficult to compete with. You'll try the cheapest route first and realize that when you see things overheating or failing and taking forever to resolve, you will wish you had come to us. The idea is that we've spent quite a bit more to de-risk your business, as well as ours.