skysight-inc/HackerNews huggingface dataset:
Reminds me of the Somalian pirates of five-ten years ago, who were also eventually stopped by defending the targets.
im very conscious that this may trigger a very opinionated war. so let me backoff for a moment.

My comment is in context of this project and not a generic statement. My startup is built entirely in python.

A boilerplate - by definition is a get started quickly tool for people that are (by choice or otherwise) not interested in going to the depths of a framework.
In that very particular context, a Nextjs based boilerplate will beat this one.

As an example, let me share a nextjs template that you can buy for 20$
https://themeforest.net/item/react-material-bootstrap-4-admi...

https://themeforest.net/item/react-next-modern-landing-page-...

again, im not trying to crap over the OP's attempt. I seriously commend it. But if there's someone looking for a boilerplate to get something with a frontend/backend up and running quickly...i still do think doing it in one language/framework is much better.

P.S. And I do think TS is a fantastic language. But again, my point was not a purist Python vs TS/JS slugfest
Like sneaking in more changes after your code review is approved.
Naya Clinics – Reinventing Therapy
> even though I'm still struggling to get rid of tons of bad covers and mediocre music in Slav languages)

What region is your Spotify set to? It seems to base the recommendations on the region (I live in the Nordics, but used the US version for some time and got recommended a ton of spanish music).
I don't think they mean "virus isn't real" conspiracies.

I think they mean "Amazon has a vested interest in lobbying to weaken small business support in Congress".
> And don't do sneaky updates to your terms which make this a requirement.

Hmmm, doesn't a terms update require the customers to re-agree to the terms? So if they made the update to terms about requiring a call, and never requested customers re-agree to the terms, then technically the customer doesn't have to follow said terms, correct? The old terms are still in play, or the account must be canceled.

Loophole?
Has there been a study that shows that robinhood is more expensive than various commissioned brokers?
Another list https://alternativeshub.gitlab.io/ with the rankings. Found Photopea here. Seems to be based on the awesome list too.
I spend a lot of time on Youtube, and their recommendations are addictive, so I blocked the sidebar that recommends next videos.

I block scripts on news sites since they serve no purpose.It removes things like popups, autoplaying videos and comments.

And I have so many custom filters set up to block cookie prompts, annoyances and other stuff.
And you'd be wrong. SPA frameworks are almost entirely absent from this list.

HN discourse would have you think single-page apps are pervasive, but they're only on a tiny fraction of websites: https://css-tricks.com/how-the-web-is-really-built/
https://validator.w3.org/feed/check.cgi?url=http%3A%2F%2Ffre... shows there are a few errors.

NewsBlur doesn't complain that anything is wrong, but it will skip specific items that do not validate - so it all looks dandy, but it misses updates.
This question would be super bizarre to anyone coming from a stats background.

Others have commented on the role of inference/estimation, and prediction in small data or non-black-box contexts, so I’ll just add that there are deep theoretical reasons to do Bayesian inference. It’s a framework grounded firmly in decision theory, and provides a coherent way to reason about the world. You can prove, under sensible axioms, that beliefs can be described in terms of probability distributions, and that we should update beliefs based on Bayes’ Rule.
Not for personal chores surely? Only business related ones.
Is there any talk of porting to Linux?
Yes there is a lot of stuff different here. I don't want to take that away. Just pointing out that websocket only is not accurate.
That is true, but I suspect that only happens to protect the zpool against tools like the Windows Repair Install (which likes to attempt repairs on disks without GPT label). Using ZFS on a partition inside a GPT disk tends to lead to a few quirky behaviours, like for example ZFS not always reporting correct SMART data of the device.
Excellent, thank you. I wish more announcements had this type of breakdown.
Good UX Writing
Is it though? 80% of order flow savings ... 80% of exactly how much?
How is doing at least as good as NBBO mean I'm getting fleeced?
Stan uses MCMC (specifically NUTS, which is a Hamiltonian Monte Carlo sampler) to optimize parameter fitting, so it can be used for things like ODEs.

Here is an example from a class taught last January that uses stan to fit a simple ODE (using the `integrate_ode_rk45` function in stan):

https://github.com/gregbritten/BayesianEcosystems_IAP/blob/m...
Just some fun history, but "stan" is actually a millennial portmanteau courtesy of Eminem [0]. It came out around the time the older Gen Z's were born, actually. Although, yes, it has seen a revival amongst Gen Z.

[0] https://en.wikipedia.org/wiki/Stan_(song)
When I watch junk on YouTube I need to open the link using Chrome's incognito mode.

When are companies going to give us more control over what inputs we give their recommendation algorithms? There should be a button that says "hey, I'm going to watch this because I'm only human, but please, don't show this junk to me". Or, "hey, I understand this content creator has thousands of videos and uploads content daily, but, I'm only interested in this one video, not in their daily vblog from today"

I literally watch 1/3 - 1/2 of all my videos now in incognito mode on YouTube, just because their algorithm is so aggressive when it comes to recommending junk / 'content creator' noise.
Set Ambitious Goals
They are at least three years away from attempting a landing. And flying and landing a hypersonic booster OIG earths atmosphere is far different than landing a small lander in a vacuum.
What's the redirection plugin? I was considering this myself.
You should NOT use nuxt, react, gatsby in bussiness environment for anything but internal employee-facing applications.

Reasons being, that nextjs&friends(hydrated site alongside js-based navigation) make it:

a)impossible to do decent a/b testing;

b)impossible to do decent personalizations;

c)impossible to have decent page load times;

d)impossible to have any decent web analytics;

e) team is unable to understand what's going on with a page after looking into source code - devs get more control in expense of ppc teams, ux teams, cro teams, analytics teams, data teams, sysadmins, monitoring teams. This is the biggest killer argument even though a)-d) arguments might seem fancier at first. Sooo many devs just can't ever relate to this, because yes - reactgasm is a strong emotion. But you have to think about others. Devs can survive jquery. Marketer can not survive react.

So You just stick to css+html+vanilla js+web components(svelte or stencils or whatever). That is based on my 8+ years working as a marketer/product owner building billion-grade ecommerce projects.

As you have not spent too much time on elaborating your points but throwing out strong opinion to the wild, I will do more or less the same.

Happy to discuss in comments though :)
A friend told me a few months back someone he knew started selling hiking poles on Amazon (sourced from alibaba too) and sold it to some investor for a cool 3 million. It makes sense now . She was selling well, but was wondering who would approach her to buy her business.
More people in these comments need to know about the history page. I personally recommend just clearing it from time to time. Obviously when you're getting bad recommendations. But even when you're getting good recommendations, it's easy to find yourself in a rut of watching the same stuff and reseeding the recommendations system can help you find new content.

I like Youtube's recommendations. They just seem to get too narrow too fast instead of experimenting with showing you videos that it's less confident you might like. Thus resetting history is necessary.
> oh great another Rise Against stan...
> You've been listening to a lot of Logic lately.
> u okay?
> >Yeah why
> no reason...
> Of course Twenty One Pilots.

Not gonna lie, I'm feeling a bit judged by this AI:)
Fantastic, thanks for the clarification. I'll be swapping Macbook Pro (work) for Mac Mini (personal) so this could be the way forward. Thanks.
The problem is, it's hard to distribute libraries which want lots of stack space, because not everyone will do that.

In Rust (where threadsafety is easy and cheap), I tend to just spin up a thread of known (large) stack size, and do computations there.
Ha! I also got 26% score and it was ridiculing me for listening to Ed Alleyne-Johnson [1] and David Hicken [2] even though they are not even mainstream performers :)

[1] https://www.youtube.com/watch?v=XJwAZMq08xA

[2] https://www.youtube.com/watch?v=rHtdqGy3g5Q or https://www.youtube.com/watch?v=YftAYq1AHiE if you are in a more upbeat mood
What does democratize mean in this use case? Running direct access to exchanges isn't cheap, someone has to pay. Most "democratizing" seems to end up being opaque fees that naive customers don't realize (i.e. Robinhood)
OpenZFS, in general, does what it advertises fairly well, and does not advertise features it does not possess.

In what way has your experience differed?
Couldn't agree more. Spotify is one of those products that I sort of almost can't live without but yet it's painful how bad they have become in the last couple of years. Instead of improving the service and customer experience, it only got worse (if I had the chance to straight up use an outdated client from a couple of years ago, I would!).

The fun thing is, my company has jumped on the agile train a while back (nothing wrong with that per se in my opinion), and Spotify was always that cool example "where agile works". Well, no idea what they're doing, but if their KPIs mainly consist of how bad of a UX they get away with, they for sure are very successfully improving their product.

It constantly forgets which episodes of a podcast I've already listened to, or where exactly I've stopped when in the middle of an episode. Their support for downloaded songs at this point seems to be almost non-existent (I stopped using spotify offline quite some time ago as it became too much of an annoyance). If a song I liked is not available anymore but is then available again, I have to like it again. It still can't differentiate between studio and live versions of songs which I would like to filter out (I hope someone corrects me that I'm just too dumb to find the right button). I once got an email that one of the bands I liked released a new album - but it was a band with an identical name (and never heard of before!); apparently, they send out mails by matching band names instead of some unique IDs (no idea how that passed any kind of review; must've been some mashed-together 11-hour release).

... the list could go on and on. The thing is; I really want Spotify to be good, it's what made me stop pirating music, it was just way more convenient. It still is, but it could be so much more, especially given all the cash they're rolling in.
felt that too, a bit confusing ngl
> You could look to the UK for examples of action being taken specifically around suicide.

But taking actions alone is not really a good indicator for how effective these actions actually are, particularly on such complex socioeconomic topics like suicide where most likely a whole slew of factors play a role.

So while one could look at the UK, what's missing there is something to compare it to, as just comparing to other countries alone doesn't really say much about how much these actions actually factor in the differences.

> On your wider point, all our broadcasters are aware of "imitative acts" and so they're very careful when showing children doing violent or dangerous things.

Is that also why a Star Trek episode, that mentioned Irish unification as an example of "terrorism working", had that scene cut from being broadcast on UK TV? [0]

Those are the kind of consequences where the waters suddenly become very murky: Most people would probably agree with protecting vulnerable populations from something like suicide. But what if that logic is extended to trying to protect even not so vulnerable populations from the "wrong ideas"?

[0] https://www.irishpost.com/news/star-trek-the-next-generation...
I feel that this is becoming true of much of the internet. The number of lame, banal blog posts that I come across is just insane. A lot of the tech blogs are just cheap ripoffs of original documentation/examples or just fluff. This is madness.
Heaven help him, though, if he says anything critical of the union. Tire slashing and other forms of intimidation routinely made newspaper headlines in UAW territory in the era before the Big 3 automakers collapsed. At least dismissal doesn't involve people following you to your home.

It isn't businesses that make US unions look bad, they did it to themselves.
IANARedditor, but this reads to me as a feature of reddit.com for redditors to use. What does that have to do with the rest of the internet?

Is reddit itself not one of the amusement parks / walled gardens that this very page is decrying?
> So bitcoin, a cryptocurrency created to ensure anonymity, ...

That's not quite accurate. I think privacy/anonymity were up-front concerns with the design. Satoshi mentions a partition between identity and transactions/ledger. Unfortunately, as we all know, once the identity is leaked for a single transaction, it can be traced throughout the ledger. In practice, many/most transactions do include some identity leakage.
The modern answer? Really?

I'm sorry but this is exactly what tons of "old" businesses have done for ages. But they are being told over and over that that isn't "web scale".

In my old life we just scaled via the DB and were able to deploy as many copies of our monolithic services as we needed to scale. We had a few monolithic services (no, not microservices, really nothing micro about them at all) that even shared some core code through a library.

In my new life that is no longer wanted and we need microservices and multiple databases. Except that it's all just logically split and in reality ends up in the same DB instance. But you know, we could scale it to a new DB instance if we ever needed to. Not that we will if you ask me because we run maaaany customers on the same database instance too. So it's all fake and we could've just used the same old boring working fine approach as any old business. Go figure.
It is useful. Just not in the context suggested by this article. Highly broad "what if" studies like this are shallow but offer suggestive assumptions that aren't particularly helpful to understand aspects of the economy like wealth, incomes and inequality
Both Bayesian inference and deep learning can do function fitting, i.e. given a number of observations y and explanatory variables x, you try to find a function so that y ~ f(x). The function f can have few parameters (e.g. f(x)= ax+b for linear regression) or millions of parameters (the usual case for deep learning). You can try to find the best value for each of these parameters, or admit that each parameter has some uncertainty and try to infer a distribution for it. The first approach uses optimization, and in the last decade, that's done via various flavors of gradient descent. The second uses Monte Carlo. When you have few parameters, gradient descent is smoking fast. Above a number of parameters (which is surprisingly small, let's say about 100), gradient descent fails to converge to the optimum, but in many cases gets to a place that is "good enough". Good enough to make the practical applications useful. In pretty much all cases though, Bayesian inference via MCMC is painfully slow compared to gradient descent.

But there is a case where it makes sense: when you have reasonably few parameters, and you can understand their meaning. And this is exactly the case of what's called "statistical models". That's why STAN is called a statistical modeling language.

How is that? Gradient descent for these small'ish models is just MLE (maximum likelihood estimation). People have been doing MLE for 100 years, and they understand the ins and outs of MLE. There are some models that are simply unsuited for MLE; their likelihood function is called "singular"; there are places where the likelihood becomes infinite despite the fit being quite poor. One way to fix that is to "regularize" the problem, i.e. to add some artificial penalty that does not allow the reward function to become infinite. But this regularization is often subjective. You never know when the penalty you add is small enough to not alter the final fit. Another way is to do Bayesian inference . It's very slow, but you don't get pulled towards the singular parameters.
MSG is safe.
https://health.usnews.com/health-news/blogs/eat-run/articles...
There are rumors of recent-model iPhones receiving "carrier setting" updates not documented on the carrier's website (they should be), occasionally followed by instability (crash, refusal to boot, refusal to reboot on battery power alone).
Wow, I was just on No Starch's site for their Thanksgiving sale. How did I miss this? Thanks!
One of the only detailed interviews of the Founder/CEO of QuantumScape on the company's past, future and vision:

https://cleantechnica.com/2020/12/19/these-kinds-of-opportun...
Covid vaccine 'highly likely' to work on UK variant, BioNTech says
I've built getinsights.io, a full-suite privacy-focused analytics platform. We built it because we wanted to use it and it didn't exist yet - other privacy analytics platforms didn't support tracking of events, which was essential for us as we build web apps. Being our first customers helped a lot with validation, although we were really only satisfied once the first paying customer registered.
No, you are a Russian retard.
Speaking as a pytorch user, many of the steps in your Readme example remind me of the usual setup except the pipeline.run() handoff which is replaced by eager evaluation in pytorch.

Are you seeing something like an eager mode for your library, or perhaps a pytorch plugin that might use your apis?
Yes. My in-order tree traversal example corresponded to how I would implement it in a C-like language. As long as the person setting the question can confirm that the maximum depth is well below the stack size, it stays recursive, though.

By the way, Haskell has stack problems as well when evaluating thunks. Hence the strict foldl’.

https://wiki.haskell.org/Stack_overflow
Seconded. He has a full course on youtube as well, and a free version of the textbook that is just missing the last chapter available on his website (password is in the first or second lecture on youtube)

https://www.youtube.com/watch?v=4WVelCswXo4&list=PLDcUM9US4X...
Well, what are your experiences exactly?
It really dragged me through the mud about all the German hip hop in my history when my Spotify was hacked checks calendar 4 years ago.
> 1. Don't make people scroll one-page to actually see the software list/cards

Until I've read this comment I didn't even realise there was a scrollbar and dismissed the page as just another fancy looking landing page. /shrug
Yeah, I buy and hold and I don't see a significant difference between a few cents with a market vs. a limit order.
It is—and I think that, unfortunately, POWER10’s primary niche is to provide the most plausible alternative to x86. Selling to plebs is (1) expensive since the economy of scale isn’t there and (2) not useful to IBM’s business strategy anyway.

Like, if you are buying 10,000 x86 processors from Intel, then you tell Intel, “Don’t charge us too much, or we’ll buy POWER systems from IBM instead.” Intel chuckles, since they know you’re not serious, but (1) you buy a few racks of POWER systems and make your engineers build and test everything on POWER to make your negotiation position more credible, and (2) Intel knows they can’t charge you more than IBM does.

The other niche for POWER, as far as I can tell, is that it has various certifications, or it’s used in systems with various certifications that x86 doesn’t have (e.g. certain aerospace / defense applications). For example, the RAD5545 is a rad-hard POWER SoC.
Those side boosters burning out before main stage, and hanging on as dead weight seems pretty inefficient.
+1 for the general fantasticness. I use the app on my iphone - no problems whatsoever. They even recently updated their watch app to stream directly (without the phone being nearby). Apple music has had this feature for a while.
We should be thankful that they don't DRM their food so you can warm only KFC food in the KFConsole.
Their interface pales to anything else. Download TDAs think or swim platform for a look at what could be. The only piece Robinhood does better is the SV gamification that lures investors who won't notice their orders are off
>You are 3% basic. Lost Symphony and VIRTA? Where do you even find this shit?.

Liked those two, try these two.
Funny you mention insurance. One way to think about buying tech stocks right now is to insure yourself against new "industrial revolution" type of thing, but more like "tech/ai revolution". I feel like I need to have at least something allocated in all of the tech companies that might be part of that revolution. Eventually unless governments are able to stop it, it seems like larger companies might grow even larger compared to others and it will be a very complex challenge to stop that monopolization. If Tesla success will be sure to happen it will be too late by then.

It seems like FOMO and it is, but I think it is very reasonable.

I don't invest in Tesla because I hope to double or triple short term, I just want to be part of what might very reasonably happen.
Virus-free scientific breakthroughs of 2020
Similar experience for me - they always shuffle me most awful songs ever - I could never rely on their algorithms to the extent that no matter the mood/kind/playlist I choose, I end up skipping 20 songs that are just horrible and I just quit Spotify.

I wonder how much better algorithm could be if they'd recognise a skip within 10 seconds of a song as "no, bad choice, never play it again".
Show HN: inlets - VPN and SaaS Tunnel Alternative
As far as I can see, based on a very quick skim reading, the study is essentially divided into a consideration of impacts from fundamental and spurious emissions from 5G transmissions.

For the fundamental emissions, the study considers primarily the impact of receiver front-end overload on the operational margins for the radar altimeters. The referenced ITU document suggests that radar altimeters are specified with "modest selectivity", e.g. 24dB/octave below 4.2GHz up to a maximum of 40dB. I believe that a power spectral density envelope derived from the ITU specifications is the basis of the fundamental emission calculation, not assuming the entire power will be dissipated spuriously.

This is nowhere near my area of expertise, but it seems like those selectivity assumptions (I have no basis for opinion about them) in conjunction with large gains from beamforming are what creates the perception of risk.
Their recommendation engine is really bad IMO. I was hoping for a futuristic machine learning + listening based recommendation engine that could find similar songs based on what they actually sound like. Mostly they just find songs based on what other playlists your song exists in. It's really boring and not good at finding new music for me. It does OKAY and it isn't why I use Spotify, but I can't help but feel like they are missing the boat here. I remember working with Gracenote software like 15 years ago and it could fingerprint songs and find similar music at least that long ago.

e: my overall sentiment on Spotify is very positive, I just wish recommendations were better.