skysight-inc/HackerNews huggingface dataset:
Small aside based on some comments here -

People frequently bring up write concurrency issues in SQLite, with the implied idea that if two physical people are using your app at once they'll get errors.
But of course it's concurrency at a transaction level, vastly different - if your writes take 1ms (in SQLite they might even be faster), you can support 1,000 writes per second. And if your users are generating a write click every 5 seconds (a very engaged user base, in most apps more users are readers) you can support 5,000 simultaneous physical people before you need to start worrying about scaling, replication, and distributed shenanigans.

If only 5% of those users are writers and the rest are readers / lurkers, you can support 100,000 users simultaneously.

I suspect close to 99% of distributed app architectures are premature optimizations for a scale the company will never reach.
how do we find the 100x as bad thing if we do not do research like this. The authors did not write this to provide you with a guide for life, they are instead trying to increase our collective knowledge. I wonder sometimes if folks understand how science works.
Counterpoint: I also used to fix Lexmark printers as a field tech servicing pharmacies. It was routine to see Lexmark MS711dn printers with page counts in the millions. They did not need more than basic maintenance.
Have to start somewhere with avoiding plastics. This is as good a place to start as any other.
Related:

Matt Mullenweg temporarily shuts down some Wordpress.org functions

https://news.ycombinator.com/item?id=42469708
hmm. I'd remembered it was short (3 hops?) from 42470111 but now I'm not seeing how I first got to TT^Obs from either of those starting points...

cubic diracs are well out of my ken — even normal square ones are. are casimir elements and spins somewhere in the correct general direction? (otherwise the cubic doesn't make sense to me, as I don't think jerk normally enters physically motivated diffy-qs?)
That's not a strong reason. Yes, that means ChatGPT isn't good at wholly independently pushing knowledge forward, but a good brainstormer that is right even 10% of the time is an incredible found of knowledge.
> frantically bubbling scantrons

I want to know more!

I assumed numbers were entered directly on a 10-key. Were they scantrons as a paper record, as an asynchronous way to enter the data, or?
> good old paper

https://pubmed.ncbi.nlm.nih.gov/21939283/
IPCM: A Smart Contract for Dynamic IPFS Content and Easy Version History
The corporate ruling class has made clear that Luigi is what they want, by stifling any other form of accountability or reform. The people have only made clear that they're desperate for any shred of accountability, despite the abhorrence of murder.
Whatever. The point was clear in the first message; if you refuse to understand the idea even after multiple explanations, that’s your prerogative. Your nitpick is unproductive and boring and doesn’t advance the conversation either way, it’s just contrarian for the sake of contrarianism. I have no desire to fuel a conversation whose replies amounts to nothing more than “no, you”.
I'm not sure that counts as TOCTOU?

What I'm saying is that instead of writing code like:

for fname in someglob:
if os.path.exists(fname):
os.unlink(fname)

You should instead write

for fname in someglob:
os.unlink(fname)

and handle the errors.
I never eat or drink anything heated in plastic when I can control it. Sure it may have been stored in plastic at some point, but not heated.
I hope the ways they find to prevent it don’t involve making the streets hostile to pedestrians.
And the locks can be remotely patched to remove the weakness... seems fair.

Not the builder, but calling the lock maker for sure.
I didn't mean overton window in a political sense (not a English native speaker). It's more about moving the goal post maybe.

> I don’t even get that line of thinking, but you’re welcome to it

I would not say "LLM oponent". Rather "LLM critic". I'm not against LLMs as a technology. I'm worried about how the technology is deployed and used, and what the consequences are. Specifically, copyright issues, power use issues, inherent biases in the traning data that strengthen existing discrimation against minorities, raciscm and sexism. I'm not convinced by the hype created by LLM proponents (mostly investors and other companies and people who financially benefit from LLMs). I'm not saying that machine learning doesn't bring any value or does not have use cases. I'm talking more about the recent AI/LLM hype.
Those were the days! I have great memories playing in the basketball league and playing pickup soccer on the giant fields.

I worked one internship in the color / image science lab, which was super interesting. I learned a lot about the human visual system and theories of image reproduction technology. One of the guys in the lab reached some legendary engineering status ("laureate", I think) for inventing a form of dithering that improved perceptual image quality.
I think for most places in the world, tea is an activity done at home with own cups/glasses.

Or at least, say in China/Taiwan, the heated tea gets made cold in steel containers and then served cold in plastic cups (e.g. For milk tea) else all is ceramic.

The main point is that even who doesn't go to buy a tea elsewhere get in contact with microplastic. So, now many people might have to switch to loose leaf to avoid getting another source of microplastics in their daily lives.
Is this the AWS thing you referenced?
https://aws.amazon.com/what-is/automated-reasoning/
it’s actually needed, see lucky fish: https://en.m.wikipedia.org/wiki/Lucky_iron_fish
Right, now imagine the templated YAML mess implemented in Haskell together with the app. By someone smart enough to liberally use Haskell's most complicated features
Yeah, coffee served in a paper cup even tastes like jank. When I can make coffee at home that is better than the cafes — why drink out?
Puppet's Open Source Community Plans to Fork the Program
> At least in the US, pretty much everything that is state-run, including state-run companies (like Fannie and Freddie) are notorious for being massive money pits that do not generate profits.

Gosh, it's almost like the state is spending tax money to help its citizens! The horror!
Anecdotal but I told chatgpt to include it's level of confidence in its answers and to let me know if it didn't know something. This priming resulted in it starting almost every answer with some variation of "I'm not sure, but.." when I asked it vague / speculative questions and then when I asked it direct matter of fact questions with easy answers it would answer with confidence.

That's not to say I think it is rationalizing it's own level of understanding, but that somewhere in the vector space it seems to have a Gradient for speculative language. If primed to include language about it, it could help cut down on some of the hallucination. No idea if this will effect the rate of false positives on the statements it does still answer confidently however
Wondering the same. Don't see what Honda gains from bringing Nissan into its fold.
Neanderthals cold-adapted? Ribcage reconstruction may hold the answer
It's not easy considering most F500's have Blackrock, Vanguard, State Street and JP Morgan as their largest investors, simply by virtue of being a constituent of their index funds.
I remember encountering those — meant for cold beverages. When you hit them with hot water a kind of wax film floats to the top.
My favourite moments of being a graduate student in math was showing my friends (and sometimes professors) proofs of propositions and theorems that we discussed together. To be the first to put together a coherent piece of reasoning that would convince them of the truth was immensely exciting. Those were great bonding moments amongst colleagues. The very fact that we needed each other to figure out the basics of the subject was part of what made the journey so great.

Now, all of that will be done by AI.

Reminds of the time when I finally enabled invincibility in Goldeneye 007. Rather boring.

I think we've stopped to appreciate the human struggle and experience and have placed all the value on the end product, and that's we're developing AI so much.

Yeah, there is the possibility of working with an AI but at that point, what is the point? Seems rather pointless to me in an art like mathematics.
Wouldn’t solve anything, social media would just fragment even more. People will move to unregulated sites. Full on dictatorships can’t even prevent people from using the internet so how does anyone think this would work?
I think it's pretty reasonable to expect a bag made of a fine mesh of plastic to yield more tiny broken off pieces than something like plastic container.

Also once you put your mind to it it's actually pretty easy to avoid most of the things you mentioned. There are glass or metal alternatives to pretty much everything plastic. Maybe not for creating an airtight seal over something like leftovers, but I think it's reasonable to expect that the food can sit in glass and have a plastic roof and still be relatively free of microplastics.

More research is needed it seems pretty plausible that plastics, like asbestos, are only a hazard when friable.
Meanwhile Xerox is making little money or even a loss doing mundane things.

Look at their share price over the last 25 years if you want to see what a dismal company Xerox is.
What do you mean by "Pure, refined"?

You're right that "but humans also" is better than my "and humans also"
>"Xerox and Lexmark have complementary sets of operations"

To me that means, "we can save money because we now don't need 2 marketing departments and 2 accounting departments and 2 support departments, etc. for the same amount of combined market share."
That’s a good point.

Apple’s game is deep vertical integration. That’s all fine and dandy for selling products, but helps not one bit for customers who aren’t all-in on Apple’s ecosystem. A third party who only does this sort of work, in a platform agnostic way, is the sane way to handle things.
Agreed. Not monstrous, but troubling.

It is bizarre that people are smugly dogpiling on you for showing a shred of empathy.
Niceice was looking for an example where Palantir did something heinous, not an example where they did something good and righteous like in your linked source.
That's not useful by itself, because "anything cam model anything else" doesn't put any upper bound on emulation cost, which for one small task could be larger than the total energy available in the entire Universem
*really believe not need
It also requires a "smart" server, whereas you can serve your atom or rss feed statically with a standard HTTP server handling caching and conditional requests essentially free.
Borders and passports have been with us for a while now and are not really a tech thing.

I'll give you modern KYC stuff is annoying - it seems you have to provide proof of identity, address where you live, and often now where your money came from which can be tricky if you haven't documented it.

Worldcoin is actually a step away from the KYC situation where you can prove you are a unique person but not have to give them your name address and finances etc. But so far that's a bit theoretical - all the financial institutions I deal with want KYC stuff and don't accept Worldcoin.
To be fair, if you live in a developed country, you have organizations like the FDA which "should" be vetting the "food" on store shelves as "safe".

Now whether or not they actually do a good job at that task is a different question.

It's unfortunate that you'd expect millions of people to individually "do research" (i.e. consult their crystal-stroking astrologist nutjob friend on Facebook). There is no reasonable way for individuals to make informed decisions regarding each individual item they may eat.

The Good Place has a great little clip about just the difficulty of buying a tomato: https://www.youtube.com/watch?v=R8m_5HDZF7w
I mentioned the pong example because that is what non-coders LLM users show and what the industry is proposing as the future of software development: no coding experience necessary.

> It does work for these things, but you have to already know how to do what the LLM is doing.

Yes, we totally agree. But even then, using models "correctly" in my experience and breaking down the problems for them gets you so far, once you start using weird/niche APIs (probably even your own APIs when your project gets big enough and you are not working with much boilerplate anymore) the LLM will start getting single concepts wrong.

And don't get me wrong, I understand those as limitations of a tech that still is immensely useful in the correct hands. My only issue with that is how these products are actually being marketed: as junior devs copilots or even replacements.
But importantly, we don't regulate your destination. We all pay to maintain the roads, even for the bum who exclusively uses the road to drive to the liquor store and the strip club and the casino.

The correct amount of "waste" for any system is not zero.
Agree. I was not shocked by the levels of flame retardants but that they were present at all.
Can the body break down cellulose though? It can't digest it at least. And do reactions that could use naturally occurring iron compounds work with steel alloys designed to be non-reactive?

I think something else that doesn't get mentioned is it's not just the risk of microplastics reacting, the physical non-reactive presence of particles can clog and get in the way of natural processes mechanically. So nonreactive shouldn't be taken to imply harmless.
Also, glass Pyrex Tupperware.
Not sure why your comment was downvoted, but it certainly shows the pressure going against people who point out fundamental flaws. This is pushing us towards "AVI" rather than AGI-- "Artificially Valued Intelligence". The optimization function here is around the market.

I'm being completely serious. You are correct, despite the downvotes, that this could not be pushing us towards AGI because if the dataset is leaked you can't claim the G-- generalizability.

The point of the benchmark is to lead is to believe that this is a substantial breakthrough. But a reasonable person would be forced to conclude that the results are misleading to due to optimizing around the training data.
Ah, the revenge of the mighty plastic industry pulling its strings.
Many people drink tea not from tea bags to the point that "many" isn't really descriptive enough. If you're a tea aficionado, you definitely don't. Which means there's an entire market of people doing things like an aficionado even if they are not; see audiophiles. Only mass market large brands push the tea bag. Good tea comes packaged as loose leaf meant to be used in whatever strainer you have.
When used with Python, it's important to add "PYTHONUNBUFFERED=1" env variable for this to work not just in the terminal but also when piping to files etc.
Yep. I used to regularly drink high-grade ti guan yin (a.k.a. iron goddess), and I could often get 8 steeps and still have plenty of flavor.

The trick was to use a lot of tea and steep it for only 30 seconds. One of the advantages was how quick it was to get my next cup.
no fuckin way .. i used to work for Kroll Pharmacy in Toronto!! where were you!?
I may or may not have learned a lot of German vocabulary by watching (dubbed) anime on German TV. It was in the time of satellite TV; the cool British channels had all become encoded, and what's a bored teenager to do on a rainy afternoon?

That said, it's probably still a valid approach even these days.
How do these “new” pyramid teabags stay in form? I don’t think they use staples…
No, because that's obviously and easily-provably false. Stop strawmanning.
>Nobody has ever made a printer exceptionally well.

My first job (in 1982) was writing barcode software for Printronix printers. They still make them now, largely unchanged [1]. They were built like a tank.

[1] https://printronix.com/line-matrix-printers/
i really miss /r/sas

the sas forums are great, but there were always lost nuggets of code you'd come across that made your day when you were stuck

i still browse the site but stick to a small handful of niche subs
I have the opposite reaction.

AI right now feels like that MBA person at work.

They don’t know anything.

But because they sound like they are speaking with authority & confidence, allows them to get promoted at work.

(While all of the experts at work roll their eyes because they know the MBA/AI is just spitting out nonsense & wish the company never had any MBA/AI people)
Wonder if OpenAI is considering building a search engine for this reason... Imagine if we get a functional search engine again from some company just trying to feeding their model generation...
Do you have any brands in mind? In the bagged tea with cellulose tea bags that I've bought, they are typically held together by just a staple. I've found this to be the case since I occasionally empty the tea from the teabags into my percolator.
The new Gemini Experimental models are the best general purpose models out right now. I have been comparing with o1 Pro and I prefer Gemini Experimental 1206 due to its context, speed, and accuracy. Google came out with a lot of new stuff last week if you havent been following. They seem to have the best models across the board, including image and video.
While it is a great language, ir would profit from less "lets code C with C++ compiler" attitude.

Basically it is like renaming those JavaScript files from .js to .ts, and keep coding as if nothing else is available as productivity and safety improvements.
We have a set of reusable silicone lids. They can withstand high temperature on stove or microwave and just rinse off. Hopefully they aren't found to release anything.

Instead of a paper towel, we throw food on a plate or bowl and drop a lid on it. This also works in the fridge; one less thing to wash and nothing disposed.
Phrack 72 "40th Anniversary Edition" Call for Papers
Go on. You know you want to.
It is. Stainless steel or glass (chemically inert) are far superior. Even 10x less flame retardants and other chemicals are still way too much. Not to mention the FDA exposure levels being too high.
Growing up, paper cups were all coated in wax, but I can't remember the last time I'd seen one coated in wax in the US, it's been at least a decade. Back then I remember being cautioned against using paper cups for hot drinks as it would melt the parafin (which wasn't great to drink) and then the paper would get soggy. Hot drinks to go were mostly served in styrofoam back then, while they are mostly plastic coated paper now. So that was probably a small step forward, although reusable ceramic or metal is better than either.
They're wonderful things, unfortunately Unicomp has not introduced the latest keyboard layouts that have been introduced since 1988. So I can't get my beloved CAN/CSA Z243.200 for a battle-capable keyboard.
> Nobody wants to block the GoogleBot

This only remains true as long as website operators think that Google Search is useful as a driver of traffic. In tech circles Google Search is already considered a flaming dumpster heap, so let's take bets on when that sentiment percolates out into the mainstream.
What are the problems you have faced ?
I'm been using Thunderbird for a few months and i haven't notice anything weird
ActiveSupport adds tons of great convenience methods to Ruby and you can require it even outside of Rails! blank, present; date and time conversions like 1.month.from_now; except; enumerable methods like pluck... It's just lovely

require 'active_support/all'

https://guides.rubyonrails.org/v5.2/active_support_core_exte...
Uhm, is passing opts by pointer, as "*github.RepositoryListByUserOptions" instead of by value intended? I suppose it can be used to resume the iteration from where it was stopped?
All of those auth abstractions do a lot more than what I want. And because of that, they are far more complicated. And they can involve so much abstraction that you don't even know exactly how your own system works. And the lack of understanding can lead to worse practices.

Probably because auth abstractions are so complicated is why developers started thinking auth is hard when all it was doing was putting a uuidv4 in a session_id cookie.

Like writing SQL without an ORM, developers have been psyop'ed into thinking things are so hard that they shouldn't even try.
How many researchers do you think are working on cookware toxins? "Peer" is used broadly here.

The article made waves because it didn't surprise anyone, because in fact a ton of household staples are full of toxins (spices are full of lead, etc).
I suspect 1 and 2 are related, in that the first album only becomes an actual album when is survives initial scrutiny and becomes good enough to be produced. The first album is essentially the "greatest hits" of the band in its infancy.
You will survive significantly longer with plentiful calories and no nutrition than you can with very few calories but a "correct" nutrition profile.

Most of human history was lived by people with some amount of malnutrition. It's almost a default state of being alive. It's only since the broad cultivation of the Potato and after that, green revolution that allows us to grow enough food to technically feed everyone (and then throw half of it away because god forbid we help people survive rather than build a system that incentivizes dragon hording)
> many many experts

One thing that is pretty sure is that Musk is not an expert in the field.

> and more importantly

The beliefs of people you respect are not more important than the beliefs of the others. It doesn't make sense to say "I can't prove it, and I don't know about anyone who can prove it, so I will give you names of people who also believe and it will give it more credit". It won't. They don't know.
> We do know that microplastics may be reducing male fertility.

If we "know" something, would we still be using the word "may"? Know seems pretty strong for such a wishywashy result of "may".

There's definitely research in fertility rates lowering. Phtalates are receiving a lot of attention as well as an example.
Ask HN: How do AI SaaS products stand out from just ChatGPT?
I'm curious as to what unique value add is being done on top on the core chatgpt (or claude or whatever) website and chat interface.

Now they have very long context windows, ability to upload and parse through files, custom system prompts, can work with images, remember user history across chats...

So what's the unique value adds in other products that are using chatbots?

My 'hot take' currently is that the core product of chatgpt and similar bots is so good that there's very little value to 'wrapper' apps/products. I'm a heavy tech user and all of my use cases and problems I can solve with the core chatgpt right now.

The only real limitations and problems I can think of are:

- privacy, though there seem to be modes for not using/storing your data, depending on your level of trust of the companies,
- reliance on internet, I suppose one day I'd need a local chatbot with gpt4 capabilities somewhere remote,
- maybe file uploads (and RAG capabilities) are limited on the core gpt4/claude sites, though I'm not sure this will remain the case for any length of time.

So yeah I'm not sure what unique value 'wrapper' products are providing, but I'd love to see examples and be proven wrong and hopefully learn something new.
"about" didn't work for me but "help" did.
This story also shows another facet of inflation: the amount currently paid is €13.61 a year. Effectively, that debt was killed by inflation over the years.

Inflation makes it harder for the current generation but also free future generations from your debts.