skysight-inc/HackerNews huggingface dataset:
The short story is savings.

The long story is savings + unemployment + frugal living:

At the time I was living in SF in a shared room for 600 a month and unemployment paid out around $1,800 a month. I've always been "bad" at spending money so most of my work income goes into savings. I looked at my at the time account and knew I could pay rent for 10+ years if I really needed to.

Things would be a little bit different now because I have a family and humongous mortgage, but if shit hit the fan, I could still pay it for several years out of savings before I couldn't make the payment. I don't really make any big purchases, so what I'm actually buying is security in times of emergency.

I get that savings are not a luxury that everyone has, but think most white collar workers can have a sizeable emergency fund if they structure their budget with that in mind.
Many things should have a deposit system. How many rubber bands from asparagus end up in the bin and an incarcerator immediately after purchase?
> I would highly recommend that you persist all sessions in the database as offline sessions.

Please! Post it, thanks
hopefully you dont need to take the same ride
Start another company, continue.Good luck untangling double dutch sandwiches.
Nothing but monetary punishment works, unless you're willing to jail executives.
Pretty interesting when you take this insight into the human world. What does it mean to learn to think? Well, if we're like GPT then we're just pattern matchers who've had good prompts and structuring built into us cueing. At University I had a whole unit focussed on teaching referencing like "(because of 1, 5, 3)" but more detailed.
I went to Europe and used Apple Card almost exclusively with zero issues. Both via Apple Pay on my iPhone as well as using the physical card. Seamless experience.
> I decided to launch my third book on Kickstarter for 3 reasons:

> TO OFFER REWARDS: I fit everything I could into these 200 pages, but many people told me it would be helpful to get my thoughts on their unique problems. So I decided to do reward tiers — and though I could have coded that into my website, why not just use a tool that already figured it out?

> TO MAKE A MORE BEAUTIFUL BOOK (THAT ONLY BACKERS GET): Hardcovers, as you might have noticed, are expensive. With Kickstarter pre-orders, we’ll get a sense of how many to make — and you’ll get a satisfying reading experience.

> TO EXPAND MY REACH: Kickstarter is a social network, and one I really haven’t explored before (apart from the 300+ incredibly nerdy board games and D&D projects I’ve backed. True story.) I want to grow my audience with this launch.
This aligns well with my personal experience using gpt-4.

The model provides surprisingly good responses on topics which I know are readily available online while being potentially troublesome to find the exact information I want. I have even found it useful when I know there is a tool for what I want but can’t recall the jargon used to find it via Google. Simply describing the rough idea is enough to get the model to spit out the jargon I need.

However, the moment I ask a real question that goes beyond summarizing something which is covered thousands of times online, I am immediately let down.

Is this just a result of the foundation of the model being the world best autocompletion engine? My assessment is “yes” and I don’t believe that any of the modifications coming, like plugins, will fundamentally change this.
Yeah, my bias is definitely US, since that’s where I live. Symbian devices were very very few and far between for us.
this never happens
Please use links rather than copy-paste to refer to another post.

https://news.ycombinator.com/item?id=35514327
> A lot of their employees come from DJI, which is equally locked down.

Why does this suddenly make sense with the proprietary hotends and other magic...
Highcharts has had a "boost" module for a long time (at least back since 2015/2016) that switched the rendering over to WebGL for large data sets, but I don't think it ever got up to 1B points.

https://www.highcharts.com/docs/advanced-chart-features/boos...
> Why do you think this would happen?

It was already starting to happen in NYC with Uber's exponential growth before they capped the number of cars permitted. They were a year away from carmageddon.
Zitadel could be amazing, but as far as I can tell they don’t allow using your own UI screens, and it’s not obvious to me how you’d build a multi tenant SSO feature. They have the concept of organizations, but it’s not obvious to me how you’d route a user to the right login.
After the pandemic started I was using my car about once a month or two and the battery was getting drained enough that the car would not start. This solar panel fixed that problem:

https://www.amazon.com/gp/product/B07Y5TKMZ4

It is powerful enough to actually charge the battery instead of just maintain it, and it has a charge controller so it won't overcharge the battery. It did fail me once when we had a couple months of rain and overcast weather, but kept the car going otherwise. Eventually replaced the battery with an AGM battery and that plus the solar charger has worked very well.
In the 1990s I would spend countless hours per week on my .plan file, waiting for the day it would be read
We managed to modernize the Booking.com app from the inside and out
reply "続けて" or "continue" works.

Generating Japanese is slower than English (it's annoying on GPT-4), that's my reason to prefer English sometimes (especially for tech topics). ChatGPT web users don't pay for each token, but API users pay for each token, so they would make different decision.
Far top right the medical box on the wall behind the 3 guys laying down plays some sound, not sure what the relation is.
We redefine multiplication for new contexts every day in math, I don't see why division should be any different. See also: https://en.wikipedia.org/wiki/Division_(mathematics)#Divisio...
This is from the prusa blog. RepRap started out originally as open source.

https://blog.prusa3d.com/the-state-of-open-source-in-3d-prin...

It's worth noting that in 2022, Prusa had 0 patents assigned to them.

https://www.fabbaloo.com/news/which-3d-print-company-has-the...
> The trade-off was larger overhead in the overall project due to repeated code, but in later versions Svelte ships a runtime with a shared library.

This is news to me! I switched off svelte in 2021, and onboarded with solid in early 2022. This excites me to check out svelte again

> It was not meant to be faster.

Well, this whole discussion is performance so...
Ship early, ship often. First to ship wins. Flood the zone.

Often phrased as "worse is better."

Like, hypothetically, imagine you spent two whole weeks designing and implementing a new programming language, which was guaranteed to be installed on millions of computers overnight. Any language which took three weeks to finish, like wasting a week testing, would be DOA.

Like how the (brood parasite) cuckoo chick hatches early and then murders all the other chicks.
Just a meta note, this is why fallacies are limited. Just because something is a logical fallacy, meaning it does not lead to a disproof in a deductive reasoning sense, doesn't mean people often use arguments that could be considered fallacious to disregard arguments all the time as instead they use good heuristics.

Deductive reasoning is valuable but only applicable in a small number of real world arguments, as with math it generally has to do with determining consequences of an assumption. Heuristics and just plain inductive reasoning is generally what arguments are really about most of the time.
>- Social security numbers are used as a secret for identification, despite being in plaintext and having so low entropy as to be guessable, and originally issued on a card literally saying "Not for Identification".

This is by design: millions of Americans believe that the clunkiness of the SSN protects them from tyranny.
Fusion milestones have been newly achieved in the past 10 years. You may be right that it'll remain "50 years away" for generations still, but it's not evident to me that this will be the case. We barely had fission energy stable 60 years ago, we now know a lot more about the requirements and limitations for fusion, and we're allegedly still saying 50 years? That's a lot more reliable, and note that n=2 here (a bit more than one set of fifty years having gone by, a second fifty being underway and it still seeming like that). If it were "always 10 years away" since the 50s, that'd be quite a different story.
Another example of how these two countries get pissy about naming things:

We were using Agile Client as our Common Operational Picture tool during a joint exercise with the ROK Marine Corps. The default map layer in Agile has labels on bodies of water in white text built into the imagery. The body of water between Korea and Japan was labeled "Sea of Japan". The Koreans were ADAMANT that we either remove the text or change it to "East Sea". I think we dropped a blue rectangle layer over the text and then another text layer with "East Sea" on top of that. But they repeatedly pestered us about this seemingly-small detail. We're about to get our asses chewed by flag officers for not executing the Commander's Update Brief in timely manner, while also struggling to manage the info flow about the battlespace, but the #1 issue to you is the damn text label on the map mentioning Japan?!?!
I have a theory about this. All these LLMs are trained on mostly written texts. That's only a tiny part of our brain's output. There are other things as important, if not more, for learning how to think. Things that no one has ever written about: the most basic common senses, physics, inner voices. How do we get enough data to train on those? Or do we need a different training algo which requires less data?
As I said, the husband cannot speak Chinese. The wife cannot speak Korean. They both speak only English. They’ve already lost the languages in their generation, thus cannot pass it down to the next.

If the grandparents lived close, that could sort of be an option, but apparently they do not.
Indeed.

Ive worked with clinical trials and nobody says “oh, p < 0.05 so we should use this drug”.

Doctors do a much more sophisticated deep dive into the data and statistical significance is maybe 1 of a 10 factors they consider.

And hell, even if it is statistically significant, doctors may not use a drug for many other reasons.

It seems like the people who criticize p-values aren't that familiar with how they are actually used.
It’s also great advice for people starting things because most people don’t follow through. There’s a survivorship bias in seeing it as bad advice, I think. Those who stick with a new hobby wish they had bought the good tools to begin with.

I think it’s a good thing to be able to comfortably try out lots of new things. Spending money can make you feel bound to the hobby that you might not enjoy after all.
Bunny.net is amazing. Its pricing is excellent for any scale. Its combination of CDN, DNS and storage services allow for unlimited static websites, each with a custom domain.
I do think it's good practice to enable caching, such that your script doesn't hit RubyGems / pip / npm / etc every time it runs.

That way at least the automation activity stays entirely within the GitHub / Azure network.

It looks like you can do that for Ruby by adding this:

https://github.com/actions/cache/blob/master/examples.md#rub...

- uses: ruby/setup-ruby@v1
with:
ruby-version: 3.1
bundler-cache: true
Why should Elon Musk be personally punished for this?
Windows 7 - 1.6%

Other - 4.09%

https://www.statista.com/statistics/265033/proportion-of-ope...
Something I’ve realized is that people have been saying this for a long time.

I used to write them off as over the top worries of uninformed people.

More recently as Elon Musk’s failure to deliver has been made clear, I’ve realized that I was myself taken in by a lot of hype.

Now when I go back and look at some of the cyclical content around self driving cars that has been around for years, I realize that a lot of it makes sense. The most damning criticism is that automobile-focused infrastructure sucks, and self driving cars won’t change that. We need to invest in traditional forms of transit. But in a world with cheap money (the last decade) and winner-take-all mentality, we get huge investment in individualized technology like self driving cars instead of better urban design and transport infrastructure.
I don't like p-val as a cutoff, but do like to know if the p is low.
if I see 0.003 I can quickly get a sense of legitimacy
This was the central point of the bladerunner movies, perfectly and succinctly captured in the recent movie when one character asks:

“Is that dog real”

“I dunno ask him”

“Woof”
It's just a small number of people who need the price to be high because the leverage they have that are manipulating the price. Bitcoin is dumb like a lot of crypto.
My understanding is that this is often prohibitively expensive, and potentially impossible for some buildings.
As I understand, that's basically what fine-tuning is?
It gets even more fiendish than that - you can have entire linked dependencies of locked modules. My old Saab’s key was locked to the security computer, to the column immobilizer, then to the engine computer.

Lost one key? Bummer. Lost all your keys? $2500, several hours of reprogramming time at the dealer, and a bunch of new parts shipped over from Trollhattan.

Thankfully the hacking scene has managed to bypass lots of this as Saab no longer exists to make parts. But this was the state of the art in 2003. I’m sure it’s even worse now.
You could put the most intelligent person in the Savanna and they would just die, whilst a bushman will survive. Who was smarter in the end?
Do you think copilot's developers would have this attitude if google's LLM spit out their code? How about if it spit out the training weights of GPT-4 into a csv?
Interesting point about empathy. Sorry I'm abusing the comment system to get back to your comment in the future.
I think one main failure in the framing of these papers (and discussion of LLMs more broadly) is that the abstract says that GPT4 ‘struggles’ with logical reasoning:

> ChatGPT and GPT-4 do relatively well on well-known datasets […] however, the performance drops significantly when handling newly released and out-of-distribution [where] Logical reasoning remains challenging for ChatGPT and GPT-4

But reading the paper the challenges it is failing on are ones that I wager the average human would fail on too (at least a good portion of the time).

The paper might strictly be accurate, but I think we should try and bring these papers back to a real-world context - which is that it’s probably operating above your average human at these tasks.

Is superhuman/genius-level capability really required before we say the LLMs are any good?

(I see this view on HN too - statements like ‘LLMs can’t create novel maths theorems!’ as an argument that LLMs aren’t good at reasoning, disregarding that most humans today can’t find novel/undiscovered maths theorems)
X for unknown.

X marks the spot.

Hollywood people sometimes add a X. middle initial to distinguish themselves from someone of the same first and last name.

X for checking the box on a corporate inversion to launch a news network, other tech products, and pay almost no taxes.
True, but you just won't find the necessary storage capacity to run solely on renewables — you'd need a miracle battery breakthrough or a miraculously convenient landscape close to population centers to build tons of reversible water reservoirs.

You need your baseload to come from a steady, highly available, weather independent source. Nuclear is basically this only carbon free solution ticking the boxes.
> Get leaded solder when possible.

I've had good results with SnBi soldering wire - it has low melting temperature and you don't have to be so careful with hand washing (I think ;) I got mine from LCSC shipped from China, but it seems [0] you can now get it in US.

[0] https://www.walmart.com/ip/Mechanic-Lead-Free-Low-Temperatur...
Novella expressed everything I felt inside but couldn't possibly articulate as well. Thank you for linking
I would consider “we’re living in a simulation” to be fringe. And that anyone who claims with any certainty that we are living in a simulation is a crackpot.

Speculating that we might be living in a simulation is of course all in good fun.

An idea being popular does not mean it is not fringe. Otherwise any sci-fi trope from the Matrix or Interstellar could be called “mainstream”. A large number of people also need to believe it is true with a high degree of conviction.
Behind the Expulsions of Two State Representatives in Tennessee
Webhooks are tricky because I'm pulling content from three separate sources - my blog (a classic Django app), my TIL website (content that lives in a GitHub repository) and my project releases (gathered from the GitHub GraphQL API).

The releases one is particularly hard - I'd have to add hooks to all of my 194 repositories that use the GitHub releases feature, and remember to add the same hook to future repos as well.

I'm careful to use caching for the pip dependencies (to avoid re-installing them from PyPI every 20 minutes) and to only hit either GitHub APIs (where I figure they can handle traffic from their own Actions) or APIs that I myself control - it doesn't feel rude to me to hit my own blog's RSS feed three times an hour as part of this.
Maybe it's novel? Who really knows though unless you want to spend time through the sprawling patent system. Or the body of work that encompasses the open source rep rap community.
>You can go buy a bunch of cheap wrenches from Harbor Freight and they'll be just fine compared to Snap-On.

Harbor Freight wrenches are actually really good, and an excellent value for the money. I've even met pro mechanics that used them.

Harbor Freight power tools are a different deal though.
I mean yeah if you're making $80/hr writing marketing noise then your job was always insecure
This was tested empirically by giving people access to a chauffeur temporarily. Not having to personally drive your car nearly doubles vehicle miles: http://www.joanwalker.com/uploads/3/6/9/5/3695513/mustapha_e... The study is a pretty small sample though, so I would take it with a grain of salt.
As an atheist, I have no problem with "God created the universe", as in "something/somebody" that has no interactions with us. It would have no effect on me (Epicureanism).

The big jump is between "god created the universe" and "that god is the <human religion> one". And I'm not talking about all the contradictions and terrible things in <sacred book> or the absurdity of things like "the son of god saved humankind from offending god (sin)" but there's no (good) answer to a simple fact: "children's cancer", since the official religious answer is "we cannot understand (god's plan)".
Rob is the founder of the microconf community:

https://microconf.com/

It's a community of people who are excited about bootstrapping businesses (they don't close the door on funding and prefer the term "mainly bootstrapped")

It's a fantastic community of people. Most of the advice that Rob and others in the community give out is similar to mainstream startup thought but with a more VC-skeptical take.

These businesses look a little different and they usually aren't building the next Facebook or Google. The community tends to focus on B2B SaaS.
but how would the driverless vehicle know that something went down? reports from other passengers? What if the other passengers are lying? Or simply don't like you? So the vehicle will have to surveil the passenger conversations and actions and beam it up to Waymo or Cruise (ok, that's fine, a human driver would do that too). But who will look at the surveillance? An algorithm? And, what if they say you are smelly? The microphone and camera won't pick that up...

And the smelly (or messy) passenger problem doesn't even require ridesharing! Who will clean the previous passenger's McNugget crumbs off your seat?
Consistency with what I’ve seen, but it can really end in tears. FF give you unbelievably useful and snappy ways to get what you want… at the cost of losing all track of what the state of the world is. Simple entitlement systems are clear and well modeled… at the cost of being too inflexible to get what you want :)
With regard to browsers, I think we need more manufacturers, not just the GM (Google/Chrome) of browsers. I want Ford in there as well. (Sticking with US automotive companies).
Even as you outline your “simple” solution, you acknowledge in parentheses all of its hidden complexities.

As Brian Goetz would say, this is a classic “why not just” take.
Eh you don't really see people commuting for 4h en masse in places with excellent trains. Also don't forget pedestrians exist
How can I prevent my site from being a free dataset for LLMs?
Hi I am a blogger working on a small niche . I have written all these articles from the ground up with considerable effort. I don't want this to end up just as a free training data set for LLMs. Is there anything I can do to prevent that and still keep my site open free for visitors?
Oh I can see that too. I like the slow curling monkey paw!
If they are looking at $600k places thats less than 3x their gross income.

Where I live (New Zealand) a place would be 4-5x their joint income.

Certainly affordable.

On the other hand they might be looking at what they pay in rent vs what they would pay for a better place. They mention $1000/month from HOA fees. It might be a case they they are just better off renting.
I sure I read this somewhere, more please and thank you offer better output.

the problem is, putting all requirements in one sentence is a rough behaviour, but chatGPT work better in this condition. I always forget this:/
I wish freshmeat was still a thing! Is there a replacement?
I would be at least slightly surprised if Apple would deliberately hold back power-saving techniques from third party developers. It’s not like this is something that makes Safari much more appealing to users. Most users wouldn’t even notice that their choice to use Safari is responsible for their great battery life.
The C64 demo scene is still alive and well today. Restrictions sometimes are the point.
"Known deficiency" is a thorny issue in itself. The various serum levels and necessary intakes vary widely by individual. And recommended daily allowances for many kinds of vitamins and minerals are set conservatively low to avoid overdoses from people chugging the bottle.

"levels are fine" can still mean fine, too low or too high for your individual need. As long as you don't overdose, trying out a supplement nonetheless can be worth a shot, but of course it can also be a waste of money.

Unfortunately, "normal values" in medicine aren't as normal as one would like.
I recently launched a tool called HN+

https://hn.plus

It's a tool where you can create your own HackerNews clone. Obviously, while working on this, I had to emulate the HN ranking algorithm. But what I found is that the algorithm actually doesn't seem to work well for a "young" forums.

I had to tweak it so that on the frontpage, the posts that are more relatively recent rises to the top over older posts of higher votes. I know these are considered in the original algorithm, but I had to tweak it.

Which made me think that the algorithm should be considering the age of the community and also how active it is.
> Hossenfelder's thoughts about FTL travel in her video from yesterday

I didn't watch said video, but we have theories rooted in GR and Quantum Mechanics that would allow for FTL travel already using negative energy/pressure. We know there exists mechanisms to create negative pressure, like the Casimir effect. We know the universe is non-local, as per the Nobel prize awarded last year. And we are beginning to see experiments violate local causality. Who's to say we might not be able to engineer FTL travel at some point?