skysight-inc/HackerNews huggingface dataset:
This is a bit misleading, not all fat is created equal. Saturated fat in particular has been clearly shown to correlate with heart disease, and there’s a ton of saturated fat in butter, cream, red meat, cheese, etc. So much so that if you’re trying to lower your cholesterol it’s basically impossible to order something satisfactory at a typical restaurant.
Well, "Paxos Made Simple" has some errors, so if you're skeptical about stuff with errors your options are rather limited.

See https://lamport.azurewebsites.net/pubs/pubs.html#paxos-simpl... Ok, might not be fair to call it an error, but it is super confusing, and a great example of Lamport's larger point that writing prose about these things is really hard, and we need better tools (like TLA+).
Then it makes sense that Bing would be happy to provide service if Google leaves.
I stopped reading at the first image: https://themeasureofaplan.com/wp-content/uploads/2021/01/Rob..., which implied that the market makers were offering robinhood a worse price than the exchanges, and pocketing the difference. This is not what happens. Matt Levine explains:

https://www.bloomberg.com/opinion/articles/2021-01-29/reddit...

>Market makers stand ready to buy or sell stock from or to customers; they try to buy for a bit less than they sell at, and pocket the spread. If you go out into the market and say “hey I’ll buy anyone’s stock for $10,” and a really smart hedge fund comes to you and sells you stock for $10, that’s probably bad. You’ve probably made a mistake. The hedge fund is selling you the stock for $10 because it knows it’s worth $8. This is called “adverse selection.”

>More subtly, if a really big mutual fund comes to you and sells you stock for $10, that also may be bad. The mutual fund is probably selling lots of stock, because it’s so big; it sells you a little, then sells a little more, then a little more, until it pushes the price down to $8. The mutual fund isn’t necessarily smart, but by virtue of being big and doing big trades, it moves the price; if you are on the other side of its trades, you get run over. This is also a kind of adverse selection: You buy at $10 and are stuck selling at $8. Part of the spread that market makers earn in public markets—the difference between their buying and selling prices—compensates them for adverse selection, the risk of being run over by a counterparty who knows something they don’t.

>Market makers, the textbook theory goes, would much rather trade with retail orders. Retail investors generally don’t know much, so if you buy stock from them you’re probably not making a mistake. And retail orders are generally small and uncorrelated: One investor buys a little, another comes along a moment later and sells a little, it’s all pretty random, and you’re not facing an avalanche of steady sell orders that push the price down. Trading with retail is so nice that market makers—wholesalers—will both give retail orders a tighter spread (pay more to buy their stock, charge less to sell stock to them) and pay their broker for the privilege of doing it.

In fact, they're specifically prohibited from offering a worse price than the public exchanges due to regulation NBBO (national best bid order). The SEC penalty last year was only for failing to ensure best execution, which is slightly different than offering worse prices than the NBBO, since the former also requires them to take into account other market making firms that might offer a better price.
So like the SEC, when they fined Robinhood?
Facebook Live Censorship System
Fascinating model. Loved the random annotations on the individual pages. For instance, a brief spike on 25 Mar 1953 was labeled as "Press load following death of Queen Mary".
So... the easy part of this is the resolution of the focal plane array. Gigapixel CMOS is easy/cheap. Then there’s the diffraction limit of the optics. They’ll have to be huge to get a small GSD. But the biggest physical limitation is always getting the data back down to earth. How have you grown a link budget to match your resolution?
> The price of anything is a result of its some intrinsic value and the volume of supply.

No, it's the result of supply and demand not supply and “intrinsic value”. Demand is driven by subjective value, not “intrinsic value” which is a nonsense concept that misunderstands fundamentally how value and human action relate.
"Men In Stocks"
Australian prime minister says Bing could replace Google
The latest action is fascinating: There's a coordinated campaign to push silver. Citadel just so happens to own lots of SLV.

Apparently there's article after article saying that silver is the hot new thing, and that you should buy immediately.

It makes me wonder how much it costs to run a disinformation campaign. Do journalists have an informal price? Depends on the outlet, I guess.

It was comical seeing all the articles pop up simultaneously, and of course /r/wallstreetbets is mocking it all.
No, it doesn't. But it is very likely that one thing comes from the other.
https://en.wikipedia.org/wiki/Interest_(emotion)
I don't mean this ironically, but I think Slack did not actually know how to handle it: they outsourced the handling of this; they passed the buck.

This usually works well, under the rationale that "upstream provider does this for a living, so they must be better than us at this", but if you have too unique needs (or are just a bit "unlucky"), it can fail too.

All this to say that the cloud isn't magic. From a risk/error prevention point of view, it's not that different from writing software for a single local machine: not every programmer needs to know how to manually do memory management, it makes a lot more sense to rely on your OS and malloc (and friends) for this, but the caveat is that you do need to account for the fact that malloc may fail. In the cloud case, one can't just assume that you'll always be able to provision a new instance, scale up a service, etc. The cloud is like a utility company: normally very reliable, but they do fail too.
This is a terrible write-up.

The author only presents the GME
Citadel conspiracy theory without even presenting the "capital requirements" theory. He even says that there is no evidence of this conspiracy theory.

This is what writing looks like when the author appeals to your emotional distrust of wall street, rather than to actually try to inform you.
You can't use your absolute power in the marketplace to bully people, only google and other tech giants are allowed to do that!
Emacs: From catching up to getting ahead
I don't think it's necessary to do specific feature testing or verify marketing claims to solve this particular issue.

For example, whether or not the app is lying in its description about using AI techniques is irrelevant. Even if it were lying about using AI techniques, it still might be a useful and functional keyboard app. And even if it really did use AI techniques, it still might be a useless impractical app.

> It’s not the reviewers job to decide if you created a “good” keyboard

Don't the app store guidelines say that the app needs to deliver a "great" experience?

> But that means reviewers only have minutes to review each app, not hours.

To me, that eliminates a big part of the value proposition of having a "highly curated" app store.
Do you happen to have any resource that dives into this? This is really interesting would love to know more about how this works in details.
Apple takes extra steps for that not to happen, and even then in this case it should suspend the app
That seems to me an important point, that the amount of losses here -- or even their entire stake in GME -- is actually kind of just peanuts to them. Even regardless of legal firewall, it's peanuts. When people are discussing it as if it's an existential threat to them.

(Also, guess what, no CEO or MBA is likely to lose a single multi-million dollar house over any of this, despite memes taking delight in suggesting they already have... that's not how it works for the rich, they can lose billions, especially of other people's money, and still be rich without even impaired job prospects).
That's the point. Short selling acts as a tax on irrational investors. That's why short selling is linked to a reduction in speculative[1], corporate fraud[2], and price inefficiency[3]. It makes the market more rational, by driving irrational investors out of the market.

[1]https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1540-6261....
[2]https://onlinelibrary.wiley.com/doi/abs/10.1111/jofi.12369
[3]https://academic.oup.com/rfs/article-abstract/26/2/287/15819...
But what HN predicted was wrong https://news.ycombinator.com/item?id=25632346

"My bet is that this incident is caused by a big release after a post-holiday "code freeze". "
Even AVX512F (Foundation) is powerful: https://NN-512.com

(It depends on the CPU, how many cores, and the structure of the neural net, but MKL will generally only achieve between 80% and 90% of NN-512's AVX-512 performance)
The others all do too.

RH realized there’s a lot more order flow to sell when there’s no commissions. Meme stocks may have more profitable order flow, I dunno.

I’m still unsure of what RH did so wrong here that other brokers didn’t/aren’t.

I think RH is making a lot more off securities lending than it is on order flow imo.

Lending out highly shorted and hard-to-borrow shares can earns them tons of interest.
Whoever lends shares to the short seller lends the voting rights attached to the shares as well, so as long as the short is covered, there's not actually any excess voting available. Moreover, sellers have up to two days to deliver the shares to begin with (the settlement period). If a naked short seller can secure the loan or the securities within that period, it all works out. (If they can't, well, it's fraudulent for other reasons more direct than the voting.)
I believe it went something like this https://youtu.be/irxf3MjDwSs?t=137 (humorous depiction of RobinHood disbursing money to users)
> We should reserve final judgement on this matter until all the facts come out, but it’s clear that this deserves a thorough and transparent investigation. The conflict of interest between Robinhood and Citadel is just too great.

This. A thousand times this.

I'm so sick of people dismissing everyone's concerns as as conspiracy theories. There is a clear motivation for RH's actions, basically nothing stopping them from acting on that motivation, and billions of dollars on the line. Their alibi seems to check out, but that doesn't mean they acted appropriately or that we shouldn't investigate them to be sure.
> Over several years, these short trades drove down the price of GME shares to ~$4 per share.

People keep saying this, but I just don't see how this would work in the real world.

NOTE: I am not a financial professional, what follows is my meager understanding. Please feel free to correct me with facts and information.

Here's how it COULD work, but DID NOT work: Hedge funds short so much stock, SO QUICKLY that the increase in virtual inventory drives the share price down. Here's why it DID NOT work that way: The hedge funds did not actually do this. They kept their short position open expecting GME to go to 0.

In fact, if hedge funds DID attempt this, it would certainly be market manipulation, which is something the SEC definitely watches for, especially when large players do it.

People keep saying things like predatory shorts drove the price down. As far as I can tell, these hedge funds told a story about why they though GME would go bankrupt. In turn, someone started a story about how this particular trade by these particular hedge funds was EVIL, which is just zany to me.

----

I do think that Hedge Funds and Traders accumulate too much money for themselves. I don't think the GME trade is a particularly good way to fix this. There are plenty of other Hedge Funds out there.
Sounds like things have shifted since I last used it. Here's hoping they resolve this stuff soon!
MySQL has pluggable storage engines. TokuDB does what you're after (adds indexes on the fly, as well as alter tables on the fly without overloading the server).
John Resig – ECMAScript Harmony (2008)
Anyone in favor of an app store like Apple's or Google's would trade freedom in the name of fear and security.

And you're right, it's worse than that. They're not even getting the security they've trade their freedom for.
Wow, they put so much effort into a multi page blog post, yet

1) Misreport the Melvin funder as the market maker Citadel, when it was the investment fund Citadel. Two different entities.

2) Hand waves away settlement issues altogether (never mentioning the DTCC), when they are the heart of the issue. If Robinhood has to post large amounts of collateral for every GME purchase (and sales reduce the collateral requirements), doesn’t that directly explain their behavior? No conspiracy needed?

So little actual insight in a blog reporting to do a “deep dive” into the situation.
He actually mentioned index de-duplication earlier: https://hakibenita.com/postgresql-unused-index-size#activati...

If I had to guess, I would say that it doesn't accomplish anything (or as much as you'd think) for null values simply because there is no real data to store in either approach, you just have a bunch of pointers either way.
> By "niche" here, we mean affecting very few people, I think?

A text only web is pretty niche. Can this project really afford to start slicing off additional portions of its userbase? I agree that multilingual blind users are in the minority, but those users are probably the most likely of anyone to be interested in a text-only web.

And even ignoring blind users, it's just... what's the point of any of this if Gemini is not going to be semantic? It's like religiously adhering to the GNU principles of always printing human-readable text on the command line, and then not shipping a shell with a pipe command or any text parsing capabilities. From just about any perspective, whether you're worried about accessibility, or parsing, or search -- it's useful to know what language a document/section is in.

One of the few advantages of having a limited, well-defined, non-extensible spec is that it's easy to work with and write parsers around. And immediately Gemini is just saying, "filtering sections by language? Good text-to-speech support? No need for that."

If nothing else, Gemini is theoretically built specifically for generality[0], and it's already guaranteeing out of the box that it can't be used well with voice assistants. Those things aren't a fad, a general-purpose document format kind of needs to support them. And trying to have a voice assistant that intuits the current language is just a really bad system for everyone.

[0]: https://gemini.circumlunar.space/docs/faq.html
I'd bring up the same issue I make to all start-ups.

I'd like to see your code of ethics.

Like so many technologies today, this could be used by the dark side. You have a responsibility to consider that and put the principles in place to prevent that. Now.
Here are some examples of how to deceive: https://youtu.be/VMuEis3byY4
Author of the article here -- 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.

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?
How long have you used MLflow for what kind of models? Are you using it personally or do you use it as a team?

As far as I can tell, it cannot deploy models that use high dimensional input. It can log these models, and it can deploy them, but the "deployed" model can only accept two dimensional data.

This is an open issue[0] with open pull requests. We're experimenting with MLflow for our platform (https://iko.ai), but we automatically detect models, metrics, and parameters and then track that with MLflow instead of haivng people pollute their notebook code with MLflow code. We don't like leaking that detail (tracking code) into the notebook.

We circumvented these issues (https://iko.ai/docs/appbook/#deploying-a-model). The models can either be deployed, or you can build a Docker image and push it to a registry and do whatever you want with it (run a container and invoke the model's endpoint, for example).

- [0]: https://github.com/mlflow/mlflow/issues/3570
Republicans pounce!!!
Ask anyone that has done any work with NMR in the past and they will tell you the same thing. The same thing.
Demand for a stock is generally linked to the value of its future discounted cash flows, which is as close to a definition of "intrinsic value" as one can reasonably realize in the world.
I wonder how that ratio compares to now. I would assume that men (especially teenage/young adult men) are still more likely to suffer injuries (due to higher risk tolerance/attraction, in addition to continued workplace differences).
Fortunately, there are rules that Robinhood must abide by. Perhaps in the near future, the SEC might find that Robinhood violated those rules by preventing people from buying more than one GME share.

(I get that the clearinghouse was the reason, because they upped their collateral requirement from 3% to 100%, so Robinhood just couldn't cover the trades. Nor could anyone else. But that doesn't change the reality of what happened. I wonder if it's too much to hope that the SEC will aim at the clearinghouse, or congress enact legislation to prevent the clearinghouse from shutting down specific segments of the market by suddenly requiring 33.33x more collateral for certain stocks.)
Signaling encouragement.

Since much of the tech stack you describe seems to be offered by Planet, (and having experienced the delays and sticker-shock associated with the salesperson-driven enterprise sales process with such companies firsthand), might the industry evolve in such a way that Albedo act as a priceline.com / overstock 'off-brand' reseller of Planet's existing data pipelines? Does developing your own tech-stack basically give you 'table stakes' i.e. signaling a viable alternative to sales channel conversations with existing satellite imagery providers?
I've noticed this regularly with RPi projects. They are interesting, but the costs are often at least as high as an, often more powerful, x86 equivalent.
Mainframe Programming vs. Cloud Computing
Very excited for this. As a meme guy and someone interested in encrypted communication, I believe this will be an amazing asset.
This is easily the most fun thing I've done in months.
Elon Musk Confronts Robinhood CEO about Gamestop on ClubHouse
Robinhood’s 5 rushed UX changes
It all about setting expectations. I typically do this based on the price and atmosphere of the restaurant.

If I'm paying $50+ for a steak and had to change out of my graphic T-shirt to walk in, I expect that I'm paying for someone to ensure it's a great experience and they're ready for it (plus a healthy tip, of course.)

If I'm paying $13.99 for a burger and a beer, I just need them to bring me my food and refill my drink every once in a while.
Ok, reading what for example?
For a room or a whole apartment?
Postman is the real player in this space. They did a great job collecting the low hanging fruit in terms of engaging all types of users in working with APIs. They've been a bit slow since then to build out their full API design and verification functionality, but they are making steady progress, and it seems like UI in 8.0 cleans up a lot of the rough edges they've accumulated over the years.

They also make it simple, if not necessarily easy, to use your collections in other places, either through Newman, API access, or direct export. I know Blazemeter, for example, allows you to build load tests from Postman collections, and it's relatively trivial to have Newman running as part of your CI.

So having worked in this space for the past two decades, and quite recently felt a lot of those same pain points, I'm skeptical of any solution that doesn't either challenge Postman head-on, or build around it.

Without significant financial backing, it will be very difficult to get traction otherwise. That said, I'll certainly take a look at your project, should you share it.
My assumption is it's an IPv4 address exhaustion thing too.
Yes, the injury rate may be similar, but the sources of these injuries are likely not. Amongst the ruling classes, horses were the danger. Ride a horse and you will break more bones than the guy who walks to work. Be a friar working in a hospital, not toiling in the fields nor riding horses, and your fracture rate would be much lower.
> Shorting can affect a companies ability to raise capital.

So can negative press coverage. And yes, either can prevent a company that is on the brink from staving off bankruptcy. It's questionable whether you ought to call the press coverage the cause of the problems, though, and the same objection applies to the shorting.
Not per se _as effective_, but it will still help a lot. NULL tuples pre-pg13 take ~ 14 bytes each, and 18 bytes when aligned. (= 2 (ItemID, location on page) + 6 (TID) + 2 (t_info) + 4 (NULL bitmap) + 4 bytes alignment). When deduplication is enabled for your index, then your expected tuple size becomes just a bit more than 6 bytes (~ 50 TIDs* in one tuple => 2 (ItemId) + 6 (alt tid) + 2 (t_info) + 4 (null bitmap) + 50 * 6 (heap TIDs) / 50 => ~ 6.28 bytes/tuple).

So, deduplication saves some 65% in index size for NULL-only index-tuples, and the further 35% can be saved by using a partial index (so, in this case, deduplication could have saved 13GB).

*note: last time I checked, REINDEX with deduplication enabled packs 50 duplicates in one compressed index tuple. This varies for naturally grown indexes, and changes with column types and update access patterns.
I'm not really sure how Robinhood survives this debacle. Their brand is toast, and the moat of free commissions is gone now; it's the industry standard at this point. They were looking at being the most anticipated IPO of 2021, all down the drain for a few poor decisions.
I would agree but I would say all bored Millennials are buying stocks because the RH app is truly addicting and makes buying stocks as easy as giving a like on FB. It’s pretty much a slot machine in your pocket. The biggest problem though is “Millenials” is no longer a term for the young but rather a term for majority of the countries work force.
This reflects the fact that PDF uses the UTF-16BE encoding form for Unicode text, not UTF-8.

One oddity is that the PDF spec's description of the "Text String Type", e.g. at p.158 in https://www.adobe.com/content/dam/acom/en/devnet/pdf/pdf_ref..., appears to say there should be a leading BOM (U+FEFF) in the string here, but this doesn't seem to be the case in reality. Indeed, adding one may cause issues for at least some PDF readers, according to discussion at https://github.com/tesseract-ocr/tesseract/issues/1150.

But anyhow, in short: that's simply UTF-16BE text being represented as a series of bytes. It's nothing to do with any kind of "security hack", and the null bytes are not "bad characters", they're the high byte of each UTF-16 code unit.
Rumbles on Mars Raise Hopes of Underground Magma Flows