skysight-inc/HackerNews huggingface dataset:
I feel that some friends the past 5 years have
started more and more to talk about mechanical
watches, it definitely feels like an artificial
demand pushed by marketing.

I've noticed it a bit too.

All of us are more influenced by marketing than we'd like to admit and certainly more than we realize. No arguments there. However, it's not like I've seen any sort of marketing push for mechanical watches. I just don't see any marketing for them whatsoever.

The question for me is, is it because the marketing situation has changed? Or is it because watches are kind of an "old guy" thing and we're all five years older than we were five years ago? Personally I feel it's the latter.

But, I can think of two indirect possibilities from the marketing side of things.

1. There has been kind of a marketing push from newcomers like Daniel Wellington and MVMT on Instagram. That's all overpriced trashy quartz stuff. But, I suppose it gets people thinking about watches.

2. Much like the rise of Starbucks got a lot of new people thinking about coffee 20 years ago, I think the success of smart watches got a lot of new people thinking about watches.
Now I want to know where schwab gets the other 97% from.
Thanks! Our initial constellation will be 24 satellites, which will enable 2-3 revisits per day to areas of interest.

We used a drone to capture this image at our representative resolution (10cm), but it only captures in JPEG so there could be compression artifacts from that. The image on the right is a 1/3 downsampled version to show 30cm resolution.
I have been using Spacy3 nightly for a while now. This is game changing.

Spacy3 practically covers 90% of NLP use-cases with near SOTA performance. The only reason to not use it would be if you are literally pushing the boundaries of NLP or building something super specialized.

Hugging Face and Spacy (also Pytorch, but duh) are saving millions of dollars in man hours for companies around the world. They've been a revelation.
Here's one example that stood out to me:

An off–shore hedge fund devised a remarkably effective incentive program to motivate the traders at certain broker dealers. Each trader was given a debit card to a bank account that only he could access. The trader's performance was tallied, and, based upon the number of shares moved and the other “success” parameters; the hedge fund would wire money into the bank account daily. At the end of each day, the traders went to an ATM and drew out their bribe. Instant gratification.

Vague accusations of bribery without proof or a source strike me as FUD. But it strikes me as something most people would want to believe if they're angry.
Slight correction: .tail prefix prevents inlining by JIT, it's mentioned in the second link in my sibling comment as "explicit tail prefix in callee". So even if that type specialization JIT optimization worked, the small performance-critical method containing it was not inlined. But the point of the specialization was to make the call for primitives faster than a method call, and fallback to a default implementation via callvirt. And there is no way to disable adding the .tail prefix to the calls that do not need it.

This also means that a lot of F# functions that are not inlined by F# source-code inlining itself effectively have NoInlining attribute. E.g. some helper method `if x then y.call() else z.call()`, if not inlined by F#, will never be inlined by JIT due to .tail prefixes before the methods calls.
And they are still expanding the Shanghai factory, which just started building Model Ys. Indeed, Tesla is not going to stop building factories, but also for that costs are going down as are the costs for the individual cars. When the revenue due to the certificates goes down, there are many financial knobs to turn to insure Tesla stays barely profitable. And of course in times of expansion, you would only aim for minimal profits and rather invest any margin achieved.
The Bolt has a specialized platform.
Is it really in a tough position, though? I'm pretty sure they have the right to suspend/restrict trading in any security at their sole discretion.

Yes they have to spend time and money defending these lawsuits but they are mostly frivolous AFAIK.
Like the icon though, complain and they'll just tweak the text and you're back to square 0.
That stinks of microallocations from enormous stacks of closures, boxing and similar.
Why is this a surprise to anyone? How did customers think Robinhood was making money?
Stories like this are why I've stayed away from Robinhood. After doing more research before starting any trading, I learned that I can buy stocks through Vanguard, which is a platform that I actually do support a lot.

One question I have is: what's a safe, secure, reliable alternative to Robinhood for buying crypto as an American? I've read about Coinbase and Binance but seen that some people have had shady experiences with them too.
>CSP

I have a tangential question, in case anybody here has the answer. Have there been any attempts to prove (either formally or informally) that CSP either:

- Can model any computation?

- Is suitable for modelling business processes?

I've heard both of these claims quite often, but haven't been able to find any primary source on the matter.
The whole point of capital markets is that companies can raise cash by creating shares, and then use that cash to make money for shareholders. Naked short selling subverts this by letting someone else issue shares of the company and use the cash their own way. Companies have to have a near monopoly on creating their own shares, or the whole system falls down.

If naked short selling is restricted to short term trades in special circumstances (as it is now), the system still functions and market makers have a little more freedom to create liquidity (whether the liquidity is worth the other issues is a question I won't try to answer here). Allow unrestricted naked shorting though, and the next time you buy shares in msft, it could turn out that your investment depends on msft dividends paid by a hedge fund betting on cattle futures more than it depends on microsoft's financial performance.
Why not use the regular Raspberry Pi 4 with the PoE module?

The CM4 is only useful in most cases if you want to use the PCIe bus for something else, or if you’re trying to embed it in another product.
Yeah, ribs are one of the easiest thing to have a craving for. Could probably get good success mixing liquid smoke into the barbeque sauce.
In fairness to the OP, the link they cited defined "data race" explicitly and narrowly as race conditions on memory which I think makes all of your bullets out of scope, but also neuters the original claim pretty considerably.
I don't think that info is public.

Also, Citadel Securities (the MM who is Robinhood's largest source of revenue) has been fined for front-running customer orders in the past.

https://www.bloomberg.com/news/articles/2020-07-21/citadel-s...
Looks great! I love LiveView.
And this is still the case to this day. The 10 most dangerous jobs in the US are male dominated.
There Is No Such Thing as a Decentralized Exchange
There is literal process studied by sociologists called Brahmanization where local elites were coopted and admitted to caste
I made myself clear in my initial response:

> Webforms was their attempt to bring the VB6 workflow onto the web and it was a terrible idea specifically because the web is not desktop.

As for performance, viewstate was a huge performance issue. That's a large part about what I meant when I said they tried to bring the VB6 workflow onto the web. In order to get there, they had to create the viewstate mechanisms, which created a different set of problems.

They wanted developers to be able to dragNdrop and then double click and write a small bit of code to do a thing, just like in VB6. Only, in order to actually get that to work, they had to come up with things that were actively harmful in a website (and it got worse when they tried to shoehorn ajax into it).

> There is nothing to be learned from your posts at all, no different perspective, no justification of your opinion, no insights into why you dislike it. You're just doubling down on a preconception that you have no justification for.

this is just an HN dog whistle. You could have asked.
100% agreed that Kubernetes is overkill for many if not most deployments. We constantly see small startups prematurely adopting Kubernetes which is a costly investment in terms of building up internal knowledge and maintaining the cluster. Gradient (https://gradient.paperspace.com) is push to deploy service built on Kubernetes but you don't need to know anything about Kubernetes to use it. We feel like is the right way to leverage the power of Kubernetes unless you're at Netflix or Lyft scale. In Gradient, you just provide a model, you select an instance type (several affordable GPU options offered), and a docker container. Everything else e.g. autoscaling, auth, rolling updates, etc. is handled automatically. Kubernetes does an amazing job providing the backend for these operations but data scientists and even devops teams at startups should not be wasting time rolling their own Kubernetes cluster and installing/maintaining an inferencing service on top.
It's well-known how Robinhood makes money. They sell data they have based on tracking their user's habits within the app.

This "it's free so what do people expect" is such a ridiculously lame excuse as well. No, it's not free. The user is just not the one paying. If the app sells the data and offers a service in exchange then they better offer that service.
>"Sure, but functional programming requires some discipline and restrictions for a greater good"

I do not care about some generic "greater good". It does not exist. In my context "greater good" is delivering products while satisfying business and technical constraints of a given customer/s to a reasonable degree.
It was called production sharing, but ExxonMobil and Chevron from via the KRG.

Seems very similar to the bull billing the china shop owner.
sofi is an alternative I've heard about
But all it takes is realizing that two of the three "percentages" in the table that are over 100% to realize that interpreting those numbers as percentages with a comma as a decimal point (which would be very uncommon in an English-language text and unheard of in an American English text) cannot be the correct interpretation.
The IOS app store being full of garbage is why I can't believe people try to use the "A monopoly store is better because it improves the user experience" angle. To me its worse.
> speeds will be lower and reliability may suffer

1Gbps is the max. anyways for my home setup, no matter how fast the drive is and I have a backup for important stuff, I'm not dependent on enterprise NAS drives.

I want: extremely small, low cost and very low watt usage.
Yes, absolutely. I’m an American who lived in Chile. In that time I received animosity from exactly 2 people.

The current rhetoric against China is much more prevalent, perhaps 40% of people.

I think it has to do with the fact that the USA issues were 2 generations ago while the China issues are happening now.

Also, most people understand that the decisions made by ones’ government are not controlled by the people. People don’t have any control over what their politicians do. This is a globally understood truth.
Dijkstra's "Self-Stabilizing Systems in Spite of Distributed Control" is very "Dijkstra":

- Concise

- Approachable

- Entertaining

- Insightful

- Timeless

http://homepage.divms.uiowa.edu/~ghosh/ssDijkstra.pdf

Enjoy :)
But why? I'd expect across most societies historically for males to engage in more physically stressful work.

Not to undermine the value of women's work across that span, of course - but I'm genuinely surprised at your surprise.
TBF there's an enormous precedent to these kinda of financial infrastructure things being free: Retail Banking.

And it's worth noting that Robinhood isn't the one who forced big brokerages to do zero-free equity trades; it was Schwab doing it purely because 1) their income streams were generally not dependent on trade commissions and 2) they were predicting that executing retail trades was going to quickly become a commodity that costs pennies or nothing, so why not get a big PR boost by just cutting straight to zero, while dealing a large blow to competitors who did rely on that (outdated) business model?

So I'd argue that their service being no-charge-to-most-users (you do have to pay for "real" margin accounts, extended hours trading, etc) is actually unrelated to all the shady and, imo, negligent things they do.
Reinforcement Learning at Facebook
Yep. I guess some people thought I was disagreeing I was just stating a fact though.
I can't vouch for the accuracy of this article, but it's a fascinating read about how wall street can coordinate in a short attack against a stock:

https://seekingalpha.com/instablog/11442671-gerald-klein/309...
This is cool. We have been working with Satellite imagery (and some SAR) since mid-2020. Though costly, it is not so difficult, these days, to just task or buy archives of high-resolution imagery (~50cm). However, we are always on the look-out for more economical and multiple sources of imagery for use in Agriculture.

What is the best possible way to email you so I can have it and searchable in future to refer back to you (when you are ready for commercial release)?

Here is something I learnt recently. High-Resolution imagery are sleek and nice. This, actually, turns out to be a victim-of-success scenario where potential customers expects such imagery for the sake of it but they won't pay and, honestly, don't need it to be so clear (especially in Agriculture). We realized that the data from a 3-meter resampled is good enough for most needs.
That would be exactly like Vietnam though (and like Korea too), the USA has no other reason to be there other than that they were trying to limit the Russian sphere of influence.
In my experience, SMS does suck for 2FA.

I found a new kind of suck on Friday. I tried logging into Coinbase on Friday for the first time in a while, and the 2FA wasn't working. I had been using Authy, and it turns out that Coinbase no longer supports Authy. It took me a moment to figure out why Authy was giving me a 7 digit code to verify 2FA, but Coinbase would only accept 6 digits. Fortunately I was able to recover my account by reverifying my ID, but it was super annoying.
There is zero conflict of interest between Robinhood and Citadel investment Group (the investor in Melvin), because they do no significant business together.

Robinhood pays Citadel Securities for order flow, which is an entirely different company.
I am the author of the post and author of this
https://www.udemy.com/course/learning-functional-programming...

Don't be deceived by low rating. It's low because people expected a course on syntax.

Also other continuations are as below:

https://www.udemy.com/course/functional-application-designin...

https://www.udemy.com/course/end-to-end-real-world-applicati...

And if you have any questions find me from @OnurGumusDev on twitter and I will gladly help
You can generate custom SIMD inference code for your neural net (tensor shapes, etc.) and CPU cache hierarchy (L1, L2 per thread, etc.)

For example, here is ResNet50 for a particular Skylake-X CPU:

https://nn-512.com/browse/ResNet50
You can disable that feature if you don’t like it. Personally, I like it especially when I have a short playlist but would like to continue playing music in a similar style.
> Somehow I fail to see how this is surprising.

Validating assumptions is useful science.
Huggingface fills the need for task based prediction when you have a GPU.

With model distillation, you can make models that annotate hundreds of sentences per second on a single CPU with a library like Huggingface Transformers.

For instance, one of my distilled Dutch multi-task syntax models (UD POS, language-specific POS, lemmatization, morphology, dependency parsing) annotates 316 sentences per second with 4 threads on a Ryzen 3700X. This distilled model has virtually no loss in accuracy compared to the finetuned XLM-RoBERTa base model.

I don't use Huggingface Transformers, but ported some of their implementations to Rust [1], but that should not make a big difference since all the heavy lifting happens in C++ in libtorch anyway.

tl;dr: it is not true that tranformers are only useful for GPU prediction. You can get high CPU prediction speeds with some tricks (distillation, length-based bucketing in batches, using MKL, etc.).

[1] https://github.com/tensordot/syntaxdot/tree/main/syntaxdot-t...
This is all explained by the failed amendment curtailing the military and the elections after that, no need for conspiracy theories: https://www.jurist.org/news/2020/03/myanmar-parliament-rejec...
A large physical display of complex relationships is easy to read, far more memorable than screen space, and politically and psychologically persuasive.

We evolved to experience space, not just look at 2D maps of it.

As a compromise I would love to have wall-sized displays - better, wall-sized holograms - which would show all the relationships between files in a project and keep them editable at the same time.
Author of the article here -- agreed with you -- a key piece not covered is the relationship between Robinhood and the clearing houses.

I've been learning more about that over the past 24 hours thanks to reader comments on reddit.

I will amend the article when I finish my research.

Some background info:

https://www.washingtonpost.com/business/whats-the-dtcc-and-h...

https://twitter.com/KralcTrebor/status/1355356755690139650

It looks like the Depository Trust & Clearing Corporation (DTCC) increased margin requirements on GME stock on Thursday -- which forced Robinhood to post more collateral -- which drove Robinhood's decision to prevent users from buying more GME shares.

This adds another piece to the puzzle.

We need more clarity on: Why did the DTCC make its decision? Was that decision properly communicated to the market, or did some firms get early access to the info? What conflicts of interest do they have? Was the DTCC lobbied by other Wall Street players to make that change on Thursday?
Best Chrome Extension Ever
Please note that Explosion does not like redistribution of SpaCy, they expect everyone to only use the builds they produce, so it would not be a good idea to package it for your favourite distro.
Besides that, the past years have shown the American government to be a fickle partner at best who will abandon their allies on a moments notice. This is not something that the rest of the world will easily forget.
I feel this way chiefly because I actually do use the features of NixOS to atomically rollback entire machines in production, and to atomically upgrade my development workstation. Having to manage an additional piece which is beyond Nix, whether that's EFI configuration or virtualization or Bedrock, is acceptable but very irritating.
I would consider myself straddling the hobbyist/professional line in geospatial computer vision, where high-resolution imagery is very much needed but very expensive.

I have lots of small projects I want to work on, but can't bring myself to pay $20-30/km^2 with a high minimum coverage area. Would Albedo help this very small section of the market?

I'd like to continue on these side projects and hopefully use it to build something greater, but the high entry costs make experimentation difficult.
Amazon says government demands for user data spiked by 800% in 2020
The saturated fat - heart disease connection has been questioned quite a bit over the last decade or two. It’s unclear at this point whether it even exists.
But Slack has been around for longer than a year, right? Shouldn't they have noticed this happening earlier?

I mean, considering Slack is mostly used as a workplace chat mechanism, they should have faced this kind of a scenario previously and had a solution for this by now.
It's a good question, and I while I obviously have no definitive information on other satellite companies, I will say that spatial resolution isn't everything. The higher you go, you give up temporal resolution and area coverage, which is key for Planet's monitoring mission. There's also plenty of other phenomenologies to go after - for example Blacksky announced their next-gen constellation will have SWIR. And for us, the thermal is really only possible since we are already capturing such high resolution visible (due to the long wavelength of LWIR).
No company has perfect service but Coinbase has always done right by me. Great security and super easy onboarding. Whenever a friend asks me how to buy crypto, I send them to CB. My only criticism would be the lack of some coins with real value and communities like Monero, NANO, or NEO.
If you’re talking about 2008, then they actually paid for it. The loans that the US government made during the crisis actually paid themselves back with some interest.
This doesn't have any cool dependent typed parts. Lean 4 lets you program like Haskell if you don't make any claims to prove anything.
How much freedom should a developer have in the perfect DevOps setup?
How much freedom should developers have in the perfect DevOps setup? What does”you build it you run it” truly mean? I’ve been reflecting on this for a while after seeing some 120 DevOps setups in 2020 (through Zoom).

So I tried wrapping my head around this and spent (too much) time together with 8 DevOps leaders on this article “DevOps: Standards v Freedom”. I’d love all of your opinions on this as it’s touching several fundamental DevOps core beliefs.

So what is it about:

I’ve gathered my thoughts alongside a concept I call “the evil triangle of engineering processes”. It basically means that in DevOps reality you somewhat need to choose two of the three velocity, maintainability and freedom. If you let everyone spin up any infrastructure, write config scripts however they want and don’t align on anything you will not get anywhere. If you restrict everything you will lose creativity.

Imo it comes down to the question how you interpret the “You build it, you run it” paradigm and I think many DevOps practitioners get this wrong and we don’t have enough of a discussion around this. For me there are three patterns:
Citadel Securities and Citadel Investment have the same owner -- Ken Griffin.

https://en.wikipedia.org/wiki/Citadel_LLC
Why would Spotify sell this data? If the data is bad, nobody will buy it. If the data is good, they would want to hold on to it.
My Vercel Hackaton Submission
5^6 is 15625 and I think that would have been a better use of a future version number
Pretty poor choice of license if they wanted me to care about their builds, tbh.
I would say papers + labs are way more important if you choose to take this course
Lectures are used to glue everything together, but body of knowledge is in the papers
Interviewer here. Happy to answer any questions or take any feedback about the episode.

Jason Gauci joined facebook to try to solve some problems with the newsfeed using reinforcement learning. He originally got into ML via training bots to play capture the flag. What he ended up creating is open source [1].

[1]: https://reagent.ai/
To be fair the West also stopped that and now invests billions in foreign aid, economic development, medical assistance, NGO's, and a whole lot more (to varying degrees of success)
The fields of archaeology and anthropology would benefit greatly from this.
Myanmar's army seizes power, detains govt leaders
Welcome, Agent Orange... Let's hope we never see a repeat of such madness again.