skysight-inc/HackerNews huggingface dataset:
Nowadays, reading is mostly a meditative exercise for me. I'm not an "infovore" so I don't care about the velocity of ideas entering my head. Otherwise why not just go on Blinkist and read (or better yet listen to) book summaries. I also get the sense that the 300-page book that takes a week to read probably sinks into my brain better than a 100-pager; perhaps for the simple fact that the 300-pager takes longer to finish so I wrestle with the ideas for longer.

That being said, I do appreciate concisely written books. I wonder if our preference for shorter, more succinct writings is an inevitable outcome of the information age. So much data enter our eyeballs every day. Maybe we just have less tolerance for "fluff" compared to our ancestors. Older writings tend to be much "wordier". One example that comes to mind is the Einstein quote about simplicity from 1933: "It can scarcely be denied that the supreme goal of all theory is to make the irreducible basic elements as simple and as few as possible without having to surrender the adequate representation of a single datum of experience". I prefer the condensed version: "Everything should be made as simple as possible, but not simpler".
> For matmul I'm not sure what your overhead is beyond moving memory, multiplying, and adding. A platform touting a memory bandwidth and raw compute advantage should have that covered. Where is the performance being lost?

The use of the word 'algorithm' is incorrect.

Look... I do this sort of work for a living. There has been no useful significant change to matmul algorithms.

What has changed is the matmul process.

Modern perf optimization on GPUs has little to do with algorithms and everything to do with process optimization. This is akin to factory floor planning and such. You have to make sure the data is there when the processing units need it, and the data is coming in at the fastest rate possible, while keeping everything synchronized to avoid wrong results or deadlocks.

Really compute power has nothing to do with it. It's a waste of time to even consider it. We can compute matmuls much faster than you can naively bring memory to the processing units. Whoever solves that problem will become very rich.

To that end, NVIDIA ships libraries that will choose from a wide variety of implementations the appropriate trade-offs necessary for SoTA perf on matmuls of all shapes and data types.
We’d really likt to use this today.
On this subject, I recommend Marianne Bellotti‘s “Kill It with Fire: Manage Aging Computer Systems (and Future Proof Modern Ones)”. She has managed the maintenance and modernization of large legacy systems at the United States Digital Service. https://nostarch.com/kill-it-fire
As a UK resident who's recently given up alcohol, the pub culture part is the thing I miss the most. The quick pseudo-answer is non-alcoholic drinks, but it creates a weird dynamic when most of the group gets slowly inebriated over the evening, and you sip lemonade
> I absolutely promise you don't need to go to any school to learn the requisite skills

It will be borderline impossible for anyone to learn to read/write without either learning it at school or being taught by someone.

Likewise for skills for which the information isn't easily available e.g. how to build a fission reactor.
Just like that? So a little work and now they are competitive. You know how much work “just a little bit of work” is doing? They us a cultural issue and it will take months to fix if they are lucky and then you start tackling the tech debt they’ve built up. By that time it will be another generation
Pretty bad branding! It should have at least been S4!
In my 25 years, I've run some really big on-prem workloads and some of the biggest cloud loads (Sendmail.org and it's mail servers and Netflix streaming). Here is why I like the cloud:

Flexibility.

When Netflix wanted to start operating in Europe, we didn't have to negotiate datacenter space, order a bunch of servers, wait for racking and stacking, and all those other things. We just made an API call and had an entire stack built in Europe.

Same thing we we expanded to Asia.

It also saved us a ton of money, because our workload was about 3x peak to trough each day. We would scale up for peak, and scale down for trough.

We used on-prem for the parts where that made sense -- serving the actual video bits. Those were done on custom servers with a very stripped down FreeBSD optimized just for serving video (so optimized that we still used Akamai for images). But the part of the business that needed flexibility (control plane and interface) were all in AWS.

Why would a startup use the cloud? Both flexibility and ease. There aren't a lot of experts around that can configure a linux box from scratch anymore. And even if you can, you can't go from coded-up idea to production in five minutes like you can with the cloud. It would take you at least a few hours to set up the bare metal the first time.
But that's the point - we don't build robots that can do a wide range of tasks with ease. We build robots that can do single tasks super-efficiently.

I don't see that changing. Even the industrial arm robots that are adaptable to a range of tasks have to be configured to the task they are to do, because it's more efficient that way.

A car-welding robot is never going to be able to mow the lawn. It just doesn't make financial sense to do that. You could, possibly, have a singe robot chassis that can then be adapted to weld cars, mow the lawn, or do the laundry, I guess that makes sense. But not as a single configuration that could do all of those things. Why would you?
Like the article say, if the model change a little this work need to be almost thrown out
do you know that LLMs operate on text and don't have any of the sensory input or relevant training data? you're just handwaving away 99.9% of the work and declaring it solved. of course what you're talking about is possible, but you started this by stating that cooking is easy for an LLM and it sounds like you're describing a totally different system which is not an LLM
My anecdata on AMD hiring: they just aren't moving fast enough. They still wanted to fly people out scheduling 3 weeks in advance for AI compiler work. That's just not going to work. Startups and companies like NVIDIA, OpenAI are hiring much faster with much less onerous interview processes, with higher compensation. This is not a mystery. People work for money and aren't going to hop through more hoops to be paid less.
This is literally just a shared text file with buzz words thrown in the title. You could achieve the same thing with a Google Drive link to a text file.
https://archive.ph/ZDtCl
> - Who has time for a multi-hour bath/shower each day in our modern society where productivity is everything? Even a few times a week is pushing it. Makes you feel like we're going backwards, where something as basic as bathing we are no longer "allowed" to enjoy (have your 4 minute shower and back to work!).

> - I believe we do need many more small/medium community things in the spirit of a shared bathhouse. We are getting too individual and closed off in modern Western society.

These points contradict, right? Maybe we don't need to be more productive. The cost of this productivity has been our communities with the rise of individualism.

I do wish the article explored how bathhouses impacted communities more. Were people happier? More connected?
I find it fascinating how people that successful don't take that thought process one step further.

If they use AI to build an app by just telling it what to do then everyone on the planet can look at how their app works and describe it to their AI thus making a clone.

Even Eric Schmidt said at Standford that we would be able use AI to copy TikTok and steal all of it's content and users in the next few years. Interestingly though he didn't even think to mention Youtube...
You can make your own conclusions how often it happens. Add poisoning eagle through poisoning their prey which also falls under this law and guess how often that happens. Then guess how often it is prosecuted.
I do think it's interesting how I've been hearing about how much people love Haskell and how elegant it is since middle school. Now I'm 10 years out of university and it's still notable when something is actually written in Haskell. That's got to tell you something about the language, the tooling, the docs, the community, or maybe some combination of those things.
What your peeing frequency can say about your health
Citing the charges and pointing out that Reddit and Twitter aren’t representative of the general population isn’t snarky, it’s substantiation.

The track record of people extrapolating from Twitter or Reddit to America is incredibly poor. One needs extraordinary evidence to claim this time is different.
Show HN: Bookmark Places
Quickly bookmark places - Towns, Mountains, Landmarks, Parks, Roads...
Musk's net worth was $137B in 2022, $270B in 2023 and now estimated to be $400B. $1T is a bit of an extravagant prediction but it's within the realm of possibility. And it might not be him.

Bitcoin was around $43k at the end of 2023 now at approximately $100k.
Because intent and perspective play a huge role is how we feel about things. Some people are excited for war and killing their enemies makes them feel better about themselves whereas others come back from war broken and traumatized. A lot of it depends on how you or others frame that experience for you.
These laws are bought and paid for by corporations of the trillion dollar copyright industry. They hire expensive lobbyists to get these laws passed. It's no surprise that the laws only foresee the abuse that could hurt their bottom lines.

The better question is: why have the people's representatives failed to protect their interests? Why didn't they foresee the abuses that hurt us all?
Same here.

The ability to “talk to an expert” about any topic I’m curious about and ask very specific questions has been invaluable to me.

It reminds me of being a kid and asking my grandpa a million questions, like how light bulbs worked, or what was inside his radio, or how do we have day and night.

And before anyone talks about accuracy or hallucinations, these conversations usually are treated as starting off points to then start googling specific terms, people, laws, treaties, etc to dig deeper and verify.

Last year during a visit to my first Indian reservation, I had a whole bunch of questions that nobody in person had answers to. And ChatGPT was invaluable in understanding concepts like where a reservation’s autonomy begins and ends. And why certain tribes are richer than others. What happens when someone calls 911 on a reservation. Or speeds. Or wants to start a factory without worrying about import/export rules. And what causes some tribes to lose their language faster than others. And 20 other questions like this.

And most of those resulted in google searches to verify the information. But I literally could never do this before.

Same this year when I’m visiting family in India. To learn about the politics, the major players, WHY they are considered major players (like the Chief Minister of Bengal or Uttar Pradesh or Maharashtra being major players because of their populations and economies). Criticisms, explanations of laws, etc etc.

For insanely curious people who often feel unsatisfied with the answers given by those around them, it’s the greatest thing ever.
Airbnb has a similar kind of verification (which makes a lot of sense in their business). It's a pain but it would obviously not be hard to adapt it to Facebook. But as for what to do for existing accounts? That's where it gets hard. It would probably cut down on spam too though. But yeah the privacy issues are a huge problem.
I dunno, I work at a big old corp (finance/fintech industry) with a solid foundation in Data & Analytics, and still things are moving slowly. Not that much high of a hype in the C-level, maybe because sellers are not selling that well due to not really knowing how to extract value from (Gen)AI. Depending on the provider or consulting partner, sometimes they
just don't know how to promote its benefits.

Confidence is slowly building up but still is very far from the hype levels I saw in the middle to late Big Data (2015-2017) era.
> Makes me, and probably every other EU consumer, super happy.

We wouldn't know, unless you said that. On a USA server, of course.
- the video watermarking will be interesting here, i wonder how ai companies and socmed companies will tolerate and punish each other on these things.

- lots of new creators on this market too, particularly those with no studio setup but better creativity and imagination. there is still cost of entry of course, need $, but it's now less.

- i wonder how each audience will react to this, from children, to teens, to adults. now that content creators are desaturated, i think it's content consumers that will be saturated.
I absolutely love that this idea stemmed from the HMH episode guide. Great resource, and a seemingly great idea. Looking forward to seeing where this goes!
For providers with a history of high quality PA requests and high approval rates, there is something similar. See https://www.uhc.com/news-articles/newsroom/gold-card

Other insurers have similar programs.
Yes that’s the read I got as well. He is contemplating letting himself get taken away by lingering too long in the frigid conditions, but then snaps out of it.
I think you'd enjoy talking on this topic with a professional ethicist - they exist (although surely an endagered species), we had one at our last company, brilliant guy to talk to - or listen to a modern seminar on philosophy. Not being snarky.

If one is ambiguous, so is the other, of course. And you probably know this as well, having applied this logic many times in your daily life.

Let's suppose that Luigi gets the death penalty. Is the person who administers it solely responsible for this "murder"?

How about if a parent abuses a child in all possible ways since birth. Josef Fritzl is a good example, let's take him, you can look him up if you're not familiar though it's a harrowing read. Suppose his daughter murdered him afterwards. Is she "solely and unambiguously responsible" much more so than, say, the hackers, or IT at UHC?

This isn't clear cut whatsoever.

> Are they civilly liable, or criminally?

Now you're talking law, which is a whole different discussion, and I never brought up. You're probably aware that the whole premise of the support behind Luigi is that US law as it is currently applied has enormous issues, so arguing what is and isn't law is not a productive avenue in the first place. I also find it not very interesting, but I'm sure e.g. certain lawyers would.
i set my browser zoom to 80% or lower. on a high-DPI screen everything is still perfectly legible and readable. i don't understand the fascination with extra-big-ass fisher-price sized UI elements.
They sure do if you win too much too quickly, almost exactly like gambling if you make the house loose too much money they kick you out.

https://www.sec.gov/newsroom/press-releases/2014-229

https://finance.yahoo.com/news/robinhood-halts-trading-amids...
> Part of why I dislike essay collections is their neverendingness; I’ll read two, three, four essays in a volume and I still can’t cross it off my list. An incomplete task, it becomes a mental weight, an obligation. I’m deprived of the satisfaction of finishing.

Not being able to close a book without reading everything in it is a problem. People need to get over this, it's compulsive behavior. You don't have to read all the essays, just close the book, nobody's keeping score.
Onheirco@gmail.com
Trump 2.0: New Deal or crime spree?
I suspect very potent pot isn't helping the situation.
small window for ai workflow and ai agent startups for quick cash and grab as large corporations move slow in this field
Even if they were interoperable this wouldn’t be a problem since airdrop is contacts only by default. So unless you’ve added your neighbours lightbulb as a contact..
That's still awful. We've all become complicit of sites spamming popups after first load. It's so annoying.
Uploading everything everytime someone runs jj status seems potentially burdensome. Uploading on every commit is maybe also burdensome but at least it’s also nice and explicit? I dunno maybe it’s fine! Or maybe some heuristic would make it fine enough. I don’t really get the “working copy commit” concept. It hasn’t clicked yet.

> The automatic snapshots provide a great degree of UX coherence — definitely more than Sapling currently does.

Don’t think I understand what this means.
Was there also reasonml?
Biased comment from a local: I don't think it's dismal at all.

Unsafe depending on zone, bad traffic and rainy. Those are it's main faults. But it has many advantages.

But you can get most anywhere worth going in a bike, and practically the whole city has amenities within walking distance, so traffic is a non-issue for many.

It offers an amazing cost-effectiveness to quality of living. It costs 1/3rd of NYC to live here (cheapest large city in the Americas), and you get a huge cosmopolitan deal out of it.

The cultural offer is amazing, particularly restaurants but there's plenty of concerts, festivals, theatre and more to attend all year.

People are friendly and welcoming (except in traffic, it really brings out the worse)

Only thing I really don't like about it is not feeling safe in many parts, with the largest risk being getting your phone snatched.
I think problem is not as much as wordier sentences as sentences devoid of meaning or the same stuff repeated too many times to fill a 300 page book.

I still prefer the original version of the classics to abridged versions.
On the boundary? That seems somewhat reasonable. If they were much further apart than that, you could reasonably claim that you entered the property without knowing it was private.
Writing and Testing a Paginated API Iterator in Go
how does reddit's stock price continue to go up even though it is a textbook example of dead internet theory?
Not sure why anyone should have access to my home videos: ai or not.
> If one is ambiguous, so is the other, of course

Not really. Criminal and moral respopnsibility aren't the same, and we don't necessarily want them to be the same--that's why we hold the former to a high standard (e.g. innocent until proven guilty).

> Is she "solely and unambiguously responsible" much more so than, say, the hackers, or IT at UHC

Yes, she is solely and unambiguously responsible for the crime and so should be punished. There is ambiguous and shared responsibility for the offence, but that doesn't mean everyone who slighted her should be punished--that's why these are usefully distinct questions.

> Now you're talking law, which is a whole different discussion, and I never brought up

You brought up "zero consequences for anyone responsible." Brian Thompson is dead, so that's N = 1 consequences. But you said zero. Which means you're presumably talking about lawful consequences.
The huge UI elements are a consequence of optimizing for touchscreens.

Mice (and even touchpads) are very precise pointing devices compared to a toddler's chunky fist. Modern UIs are created assuming you'll be using fingers to interact with them. Mice are an afterthought.
At this point I think even the most bearish have to concede that LLM's are an amazing tool. But OpenAI was never supposed to be about creating tools. They're supposed to create something that can completely take over entire projects for you, not just something that can help you work on the projects faster. If they can't pull that off in the next year or two, they're gonna seriously struggle to raise the next 10B they'll need to keep the lights on.

Of course LLMs aren't going anywhere, but I do not envy Sam Altman right now.
How it’s different from some random guy in Kenia? Not like you will ask him to double check results.
For anyone interested, here's a more pedagogical breakdown of the code:

⊢cards←52↑26⍴1 ⍝ We encode a red-black sequence in a bitfield
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

⊢rem←⌽⍳≢cards ⍝ Remaining card count after corresponding play
51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0

⊢sgn←¯1+2×cards ⍝ Contribution to re-black delta
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1 ¯1

⊢del←+⍀sgn ⍝ Delta between count of red vs. black cards
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0

⊢rat←0⍪¯1↓del÷rem ⍝ Our ratio is r-b delta as fraction of remaining cards after play
0 0.01960784314 0.04 0.0612244898 0.08333333333 0.1063829787 0.1304347826 0.1555555556 0.1818181818 0.2093023256 0.2380952381 0.2682926829 0.3 0.3333333333 0.3684210526 0.4054054054 0.4444444444 0.4857142857 0.5294117647 0.5757575758 0.625 0.6774193548 0.7333333333 0.7931034483 0.8571428571 0.9259259259 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

⊢pay←1-sgn×rat ⍝ Payout ratio: sgn×rat is negative on win and positive on loss
1 0.9803921569 0.96 0.9387755102 0.9166666667 0.8936170213 0.8695652174 0.8444444444 0.8181818182 0.7906976744 0.7619047619 0.7317073171 0.7 0.6666666667 0.6315789474 0.5945945946 0.5555555556 0.5142857143 0.4705882353 0.4242424242 0.375 0.3225806452 0.2666666667 0.2068965517 0.1428571429 0.07407407407 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2

⊢tot←×⍀pay ⍝ Total stake is product scan over individual payout ratios
1 0.9803921569 0.9411764706 0.8835534214 0.8099239696 0.7237618452 0.6293581262 0.5314579733 0.4348292508 0.3438184774 0.2619569352 0.1916758062 0.1341730644 0.08944870957 0.05649392183 0.03359098055 0.01866165586 0.009597423014 0.00451643436 0.001916063062 0.0007185236481 0.000231781822 0.00006180848586 0.00001278796259 0.000001826851799 1.353223555E¯7 2.706447109E¯7 5.412894219E¯7 0.000001082578844 0.000002165157688 0.000004330315375 0.00000866063075 0.0000173212615 0.000034642523 0.000069285046 0.000138570092 0.000277140184 0.000554280368 0.001108560736 0.002217121472 0.004434242944 0.008868485888 0.01773697178 0.03547394355 0.0709478871 0.1418957742 0.2837915484 0.5675830968 1.135166194 2.270332387 4.540664775 9.081329549

⊢min←⌊⌿rat ⍝ Minimum stake
1.353223554704754E¯7

⊢start←⌈÷min ⍝ Minimum starting amount is ceil of inverse min stake
7389762

⊢fin←⊃⌽tot ⍝ Final stake is last element of totals
9.081329549

⌊fin×start ⍝ Gross winnings are floor of start times final stake ratio
67108864
> What is the issue with this request?

I didn't realize this was an Apple thing, but that's fine. It changes the color of the horse and the name of the river, but the same road leads to the same destination.

1) There is a notion that Cloudflare is a content distribution network. The risk profile for a content distribution network is different from a VPN service. Now I know it's a VPN service (or is it?). Changes it from "seems weird and inappropriate" to "do I care about people relying on this? no, probably not". Cloudflare can't be arsed to provide reverse DNS for something which is clearly not part of their CDN, or is it?

1.5) Is it layer 2 or application? Cloudflare runs a CDN. Correct me if I'm wrong, but the CDN is a reverse proxy is it not? Is Cloudflare caching my website's content? Can they observe it? (It's surprisingly hard to find a solid explanation, but they talk about "proxies" and "decrypts the name of the website you requested" and none of that adds clarity, it makes it sound more like believe what we want you want to believe.)

2) I don't block incoming SYNs from Cloudflare (yet) the way I do with Amazon, and this traffic per se isn't going to trip any mitigations here. But not all of the traffic is as benign (and it's impressive that they're so technically savvy they don't need the CSS as noted elsewhere). Presumably those exit points are shared by multiple customers. Did I mention I block all incoming SYNs from Amazon?