skysight-inc/HackerNews huggingface dataset:
If you're a broker/dealer, you spend a lot of your time facilitating other people's trades. By "facilitating" here, we mean that you don't only put their trade on the market for them, you often trade with them "on risk" by taking the other side of their trades and then unwinding them. So if you want to sell 1000 tesla I might (as a broker/dealer) just buy them off you and look to sell them myself later either at market or directly without touching the market as part of executing someone else's trade later. This is more efficient for everyone as it means you don't pay the exchange fees for those trades you can "cross off" against a colleague or another client and therefore can offer a slightly better price to the end client. It also allows traders to manage the market impact of big orders more effectively, allowing large trades to be completed without moving the market as much.

If you're large enough, your client base represents the market generally. That means your client base by definition doesn't outperform the market (ie has zero alpha). So that means that facilitating their trading earns you the commission and the trades you have to unwind have net zero alpha. This is not entirely true because it ignores some important effects around how commissions work etc (which end up meaning that broker/dealers are structurally long the market in general) but is not false enough to matter for the purposes of this discussion.

Imagine you had one client who knew the future (ie every trade they made would make them money). By definition taking the other side of that trade would therefore lose you money. Their orderflow would be "toxic" - by trading with them you would always lose money.

When someone says that orderflow is "informed" what they mean (usually) is that the people making the trades have more information than the rest of the market and therefore will trade when beneficial to them which is likely to be net/net not beneficial to you (if as a broker you're on the other side of the trade).

Now, whether or not robinhood order flow is on the whole informed or toxic is another question. Personally I would be surprised if that turns out to be true but I could be wrong.
PHP 8: Before and After
I'm exactly the same.

In my humble opinion McDonald's coffee offers the best price to cost ratio of any takeaway coffee (at least that I've found)

It's far from the best coffee I've ever tasted, but I've yet to have a bad one anywhere.
It is by no means a clean or modern solution (I agree, go with Youtube etc or provide a transcoding js player), but about a couple decades ago many sites would simply link to several resolutions of a video, allowing the user to play either a low, medium or high res version as per their current data connection. So that is one option that sidesteps adaptive bitrate players as well as a large CDN.
And just as quickly the other direction, which is the risk with low value/penny stocks and high volatility without a strong base.

Still I'm not suggesting anything is atypical here (besides BBC declaring it a "breakthrough"). If anyone 'deserves' to be well capitalized it's companies doing research in this email to area with real clinical trials. It's hardly the last time people will gamble on preliminary results even beyond COVID, googling "preliminary results" will provide plenty of evidence.
Doom Scrolling
Ask HN: What online tools you started using after going remote?
After going remote, what are some of the online tools you started using that you weren't using before?

For us:

- Google Meet for video calls

- FunRetro for online retrospectives

- Clockwise (Slack App) for letting others know what we are doing at the moment
> Why should it be considered ambitious to do a PhD or become a medical doctor.

At least it seems more ambitious to me than writing that note taking app or making people click ads.
They haven't developed one for quite a while now.
> By analogy, this is claiming "New, larger steam locomotives are strictly faster than older, smaller ones, so this shows with enough coal it's possible for steam-engines to someday drive interstellar transport at 0.5c"

Making that argument about scaling up high energy fuels and engines would make interstellar travel possible would be a pretty good hypothesis. Turns out you need rocket fuel and rocket engines, not coal and steam engines.

GPT-3 might not be the engine, but throwing insane amounts of electrical energy and computing power at the problem might just get us there.
Oh wow TD Gammon was also partially responsible for inspiring me into a machine learning -> data science direction :) My dad brought me up playing backgammon so I had a fair understanding of all the heuristics involved - it was amazing to see a computer could learn them fairly well by itself.

True about switching fields with ml, after a while in evolvable hardware I did a joint PhD in geography + computer science, and have been making socioeconomic simulations of various kinds for the last 10 years. Nowadays I'm trying to reacquaint myself with core cs research, as looking for a lectureship I realized I'm always going to be stronger teaching cs than geography.
Best CV Parser
Ruby would work great with WSL on Windows these days, I'm assuming.
> basically be the one place you could do everything you want to do on the internet (except porn).

Shame, because that was the one thing they were quite good at at the time.
You're doing perfectly fine and I admire your modesty. Actually, on a personal level I feel the same. I need a notebook, a table, a bed and a roof and I could not be happier.

But things change I life and with them your goals and maybe ambitions. I'm now reaching 40 years, have a wife and have 2 smaller kids. We had to move into a bigger house with more space. You also start to depend heavily on a car. I'm still a programmer like I was 20 years before, but now my priorities are different: I want financial stability. I want to spend as much time with my family as possible. I want more freedom regarding my schedule.

But unfortunately work does not allow me as much freedom as I would like to have. I need to work 8 hours a day, 5 days a week. I have a tight schedule and am not really free to shift around my work how I see fit.

Well, the grass is always greener on the other side. If you are a founder you can reach financial stability much faster and you can organize your schedule (mostly) as you see fit. You can also increase your impact in this world if you run your own company. The big drawback is, that your workload will probably increase and you take on other risks in the process. (But these are things you can influence in one way or another).
Startups:

“It takes less time to do a project right than it does to explain why you did it wrong.” – https://thoughts.sushant-kumar.com/startups

Also,

“In a startup, there is just one thing to do — find ways to make it die faster. Fast funerals, less grief, more success.”
Just curious
what tools do you use to keep a knowledge base
But Moka isn't espresso and neither is Aeropress.

They don't even pretend to be.

I think it's pretty easy to get a good, consistent espresso from something like a cheap home Breville/Sage/Solis machine.

You don't really need to be very "into it" for that. Just buy good beans and adjust the grinder as per the instructions and feedback either from the timer or pressure gauge.

They're just a few hundred bucks for a decent single boiler machine.

Too many cafes just service customers wanting milk based coffee these days to really care about espresso drinking customers. IMHO that's why they have these weird "espresso" roasts which are really just over-roasted or overly acidic (to my pallet) "green" roasts.

Just get a decent medium roast, a conical burr grinder (can be built into the machine) and you're good to go.
What fees do they charge and what rate of return have you gotten?

Your manager may be lucky or exceptional but most people on average will get better returns avoiding those fees and just buying index funds.
AMD is red.

X axis is source value, I've extracted a small subset of the data to graph in Excel, there: https://gist.github.com/Const-me/a6d36f70a3a77de00c61cf4f6c1...

Also, I've just recalled Y is absolute error not relative; that's why it follows shape of 1/x.
Free Fonts for Your Design Projects
You can pick a for pay platform that has a customer service that helps you to resolve such issues quickly.
But freshly ground coffee is so much different to pre-ground. Once ground, it starts oxidising immediately, so will start to affect the taste pretty quickly.
Hospitals see significant drop in premature births during lockdown
Interesting, maybe it's missing a coordinate, could it be missing the repeating first coordinate? Surprising to see that surfaces of the same color are made up so many polygons, I guess that can be made even more efficient?
Going to be honest here - I’m a nespresso owner and I’ve never used the recycling program.
Jesus. I put the word parathas and got this - Entrepreneurship is actually kinda like making parathas. You have to stand there, and keep cooking, even if it sounds like a crazy idea. Then you scrape off your head with a tava.
The issue is the people (and the computer systems) it passes through for peer review.

There's a small number of publishers who put out most journals and not that many peer reviewing scientists per subfield. If you didn't publish preliminary results like this, those systems would be high value bottlenecks through which market sensitive data would flow all the time and a lot of effort would be put into breaking into them.

(edit: I do think it would be better to put out a preprint on Medrxiv at the same time though)
I got pretty scary results for my sideproject url. It felt like a human was there typing the response out.
I've switch from rbenv to chruby[1] years ago. Seems simpler and doesn't have the rehash command that is (was?) required with rbenv. All it does it adjust your PATH.

1: https://github.com/postmodern/chruby
Good piece

I worked at a company that used OKRs but the teams weren't set up in a way that people had responsibility for the things that their OKRs wanted them to do, and it produced very little (thankfully the teams were generally good and it wasn't a disaster, but it was a waste of effort).

If the OKRs aren't embedded into the sales teams as well (which basically means you can't have separate sales teams) then it likely fails.
Ask HN: Why Learn Functional Programming
What are some reasons to learn functional programming. I have tried learning it but it gets complicated understand few concepts.
I write fiction, and I write everything in longhand for this exact reason. It can be difficult start some days but once I do it’s easier to get into that “edge of sleep” state you describe, where the creative juices start flowing more freely. My handwriting is awful, but being able to quickly scribble out ideas and add margin notes is very useful. Writing longhand allows much better harmony between my brain and the page. There are no distractions on paper either!

One downside is that I have to then type all my writing up, but I use this time as an opportunity to do a first editing pass.
Why does GPT-3 matter? Well, the article starts with a plot that shows what looks like an exponential growth in the number of parameters, compared with previous models. So it matters because it's bigger.

Further down there's a plot titled "Aggregate Performance Across Benchmarks" where we can see that performance is on average about 50%. I don't know what the baseline for this plot should be (what is the expected average if the tasks are solved by a random classifier?) but comparing this plot with the plot at the top of the article, it doesn't really look like there's a huge improvement in accuracy with a huge increase in the number of parameters. In fact, it's quite the contrary: there's a small increase and a very smooth, almost linear curve. So that's an exponential increase in the use of resources for an almost linear increase in performance? That's not that impressive.

So it appears that the big thing about GPT-3 is that it's big.

It should also be noted that the public interest about GPT-3 is mostly focused on its ability to generate text, for which there is no good metric. So basically, GPT-3 is big, but it's not that good in tasks for which there are formal benchmarks (such as they are, because Natural Language Understanding benchmarks are often very poorly made and don't really measure what they say they measure) and we can't really tell how good it is in the one task that interests most people the most.
Would that be the same John Macadam that the macadamia nut is named for?

EDIT: Nope, different one. John McAdam was Scottish, while John Macadam was Australian.
Does anyone have any info as to how we can get access to GPT-3 so we can try it out?
People in creative professions mostly know they need to strictly separate creation vs evaluation. Many creations will turn out to be crap, but if you start judging your ideas already during the creation process, you will just kill the creativity – that's what's described here as "overthinking".
More important to maintain a tether to the immediate physical world around you, than to a notion of being "informed" about far-off events.
Random idea: a replacement function library that accepts hardware tuning parameters like this and a corresponding tool which sets them once during OS installation/upgrade and provides a config file or environment variable setup, so apps can share the setup...

Bonus if this library also detected/leveraged specialized hardware (GPU, AVX, etc) and then leveraged it appropriately.

Obviously, these parameters would need optional per-app-invocation overrides, e.g. so random apps didn't hog shared resources, e.g. for benchmarking, etc.

(I'm guessing this exists but not widely deployed...?)
I suspect you missed the point about falsehoods.
One key component of getting peer review is by peers knowing about it.
That doesn't make any sense. There's no such thing as an adversarial collision for UUIDs. They're not hashes and don't have any security at all. If you want to use someone else's UUID, you just can!

> If you start reducing it to smaller slices of its entropy

Which it doesn't, as has been explained in the comments already several times.
Looks like the author did the following to get access to the API (rather than the model): "I wrote an email to Greg Brockman (gdb@openai.com) describing my use cases and projects that I planned to do with GPT-3. It got approved within hours."
The server is in the process of being overwhelmed.

Here's the best tweet it generated for me: “Sex with very handsome and beautiful people is the best.”
Looks like it is now being hugged to death. Here are the last two I could get out. On Music:

“To understand more about what music can tell us about life, Thompson says to think of music as a natural resource – think of the raw material, the resource of human emotion.”

On Sex:

“The taboo about sex means we underestimate the value of shame."
> I have been conceiving and part-time developing an environment where you can model systems continuously in real-time (or faster).

That sounds interesting. I've been conceiving and part-time programming something like an analog computer simulator in a web environment, but with possible live plots and interactive elements. I have a simple solver, but the GUI with dragging and dropping takes a lot of time in javascript.
I think the point is that there is an extent to which you need to be able execute on the build part. Good engineering won't make a successful business on it's own, but poor engineering can easily sink one.
If only somebody would make a really good, deep, explanatory review and comparison of note-taking and knowledge organizing apps available today (including old and simple tools like Apple Notes and Evernote as well as Notion, Roam and all the apps they inspired) I would even pay some real money to read it.
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Yes, it's a case related to Epstein. But it's really a run-of-the-mill investor protection lawsuit like thousands each year.

It's also day seven of her being assigned the case. She may have sent out some preliminary inquiries to start thinking about a trial schedule. She definitely didn't make any decisions that have the potential to expose whatever criminal mastermind people believe to be lurking in the shadows.

Later in the trial, a judge's recusal could have resulted in a mistrial, potentially delayed it for years, or even caused plaintiffs to run of money or patience to try again.

But at the very beginning, there is no reason to believe she is different than any other judge who would be assigned in her stead, and the schedule would barely be affected.
This is really cool!

About a decade ago I did research on sorting and searching, which was the same type of work going on here (https://github.com/pbiggar/sorting-branches-caching). I found it was extremely difficult to accurately say whether one algorithm is faster than another in the general case. I found a bunch of speed improvements that probably only apply in processors with very long pipelines (like the P4)).

Execution speed is probably the right metric here, but it makes it hard to understand _why_ it's faster.

PS. Looking at "boundless interpolated search" (https://github.com/scandum/binary_search/blob/master/binary-...), it seems it's missing a `++checks`. I initially thought this could be the cause of a misreporting it as being faster, but I see the benchmark is run-time based so that wouldn't cause it unless the incrementing itself is the bottleneck.
Well, of course.

Doesn't change the fact that it allow easier recognition, but you need to double-check it. (Not sure why I need to explicitly state that)
>For the third time in 1 week, Minecraft@Home has broken the tallest cactus height record in normal terrain generation. I present, a 22 block tall cactus.

This is so neat!
I think i am remebering this podcast https://theoryofeverythingpodcast.com/2019/12/wake-up-and-sm... which covered African Coffee Roasters https://twitter.com/acr_ke?lang=en and Coffee Collective https://coffeecollective.dk/ so maybe it was a Denmark company
See user `fluffything`'s comment on this same thread: https://news.ycombinator.com/item?id=23895629, describing this approach (Eytzinger layout).
Currently, I am trying out obsidian[1]. So far, I really like it. To be completely honest, it's one of the reasons I want to start a knowledge base.

[1]. https://obsidian.md
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From comments, this does fill in some important blanks for some, but IMHO (H=humble and
possibly a bit harsh), it’s not a clear explanation because it doesn’t tell all for absolute beginners.

I think you’ll lose beginners at “These are the different ways we should be able to consume our modules”.

There is no description of what a module is, why they’re needed (or are they optional?), and what that “Cargo.toml” file is about.

I happen to know (rightfully or wrongfully) Cargo is Rust’s package manager, but does Cargo require modules (I would guess so, but reading https://doc.rust-lang.org/book/ch07-01-packages-and-crates.h..., it may need packages, but not necessarily modules), do modules require the use of Cargo (I would guess not, but then, why make a discussion of modules harder by adding Cargo-related stuff?)?
Nanopublications: Fair data containers for scientific results
Patenting algorithms is supposed to be impossible.

Companies that ignore this and patent the “system and method” for implementing algorithms are being jerks.
Makes sense but how can you be sure?
Apart from being fresher, the grind is also one of the ways you control the pressure you extract at in an espresso machine.

Depending on the machine you can either time the shots, use a pressure gauge or just look at the flow coming out and verify by taste.

It's not much more complicated than if the pressure is too low the shot will taste sour. So you adjust the grinder to grind larger.

If it's too low the shot will be overly bitter. So then you grind smaller.

I'm told the ideal pressure is 9 bar but really taste is the real test.

Once you have the grinder dialed in it will probably be fine for the entire batch of beans and only need tweaking when the next batch comes in. (Although if you may have to tweak it as the bag ages.)
WebAssembly Used to Extend Life of Flash Legacy Content
The lesser known truth is that the CEO role is often tedious "normal" work and not being Ironman. You can give in to that and hire a CEO that actually enjoys the meetings and stuff, or at least a COO to run the company day to day. Just because you founded a company does not mean you have to do everything but sure, the pressure to take responsibility is high..
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I think the long form is really good actually, but it needs to be done by people who wrote it out of love. HN will sometimes lead you down that path, like that story about the diver who survived for many minutes on the floor of the North Sea without oxygen after his umbilical cord was severed. Mostly though, almost everything linked to by HN didn’t really need to be written and was likely written for clicks.

HN is still valuable for me because it sometimes leads to me discovering new frameworks I can actually use that I wouldn’t hear about anywhere else because people in my part of the world use JAVA, PHP or C#. But HN is mainly a social media and all the attention seeking that comes with that.
Less Wrong: A Space for Rationality?
There's also a "Khan Academy"-style demo:

https://files.vectorly.io/demo/khan-20kbps/index.html
Correct, I've scavenged the comment, and the data+code, from an old thread here on HN.
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Probably Blue Checkmarks, i.e. those whose identities and opinions have been verified.

A fun exercise would be to train one instance on Blue Checkmarks and another on a dump from Gab. Once trained these two instances can start their own private battle of words. Let it run for a few days and see how it devolves, then use the results to write an article on the futility of ideological battles on social media. Publish this article widely so that the populace may read it and come to their senses.
Indeed, that seems to be from at least as early as 2013: https://www.facebook.com/dan.ariely/posts/904383595868

It is said that GPT-3's parameter space is enough to encode/memorize nearly 1/3rd of it's training corpus[0] as pointed out by 'GIFtheory in another GPT-3 thread here on HN. It seems you're finding the effects of that.

Additionally I'm curious about the recursive effect of this over-fitting after more and more output from GPT-n is published on the internet and inevitably gets included in the training corpus for GPT-(n+m) as pointed out by 'jobigoud[1]. Especially as people start using GPT-like models to spam the internet. We may lack a ground-truth corpus in the future to label "human".

It would be a bit like how carbon dating or production of low background steel changed after 1945 due to nuclear testing.

0: https://lambdalabs.com/blog/demystifying-gpt-3/

1: https://news.ycombinator.com/item?id=23887405
How is this related to pack.png (https://packpng.com/)? Same community, some overlap, no overlap?