skysight-inc/HackerNews huggingface dataset:
People sometimes conflate being a single-party state with being a dictatorship/totalitarianism. Japan is considered a model democracy and has been run by the same party for over 70 years! It's just another way of doing democracy, there's no one size fits all approach to it.
"Today, the For You timeline consists of 50% In-Network Tweets and 50% Out-of-Network Tweets on average, though this may vary from user to user."

I have spent significant effort creating a network and there you go choosing to ignore my efforts by putting in 50% of crap-I-don't-want-to-see.

That is why I despise your algorithm.
Gets him a positive news cycle without much cost. It's hard to immediately say how interesting or useful this will be since there are probably a number of related systems and databases that aren't released.
Regularities underlying risky choices are acquired in changing decision context
You mean the buses where you don't have to wear a seatbelt or even have a seat?

Safety is pretty damn low on bus priorities. Even with our damn children, school buses are often driven by underpaid, overworked, inexperienced people, and the kids have nothing to protect them in an accident. City buses don't have belts or safety either, but at least they are usually in very low speed collisions.

We had to implement an annoying rule about stopping before train tracks so they'd stop trying to cross in front of trains!

We ignore it because fixing it would cost tax dollars
From the article :

"by reintroducing the regular sequence in the final phase, we use regular to random as well as random to regular transitions. This design enables us to test whether the representations of predictable regularities emerged over the first third of the task would remain persistent and become reactivated when the regularities reappear (cf.6,47). Hence, we examine whether the gradual effect of the random to regular transition alters due to the sensitivity to the reappearing regularity4. With both deterministic and probabilistic regularities, the differential effect of transitions as a function of uncertainty is also explored41."
The same-origin policy in browsers defaults to preventing JavaScript from making API calls out to any domain other than the one that hosts the page - unless those other domains have the right CORS headers.

https://developer.mozilla.org/en-US/docs/Web/Security/Same-o...
> You really don't need a Peloton bike and other conspicuous consumption signs.

This kind of just general bashing on tech people is so conceited. You're acting like a $2,000 stationary bike is really worth fussing over when you're making $400-500k/yr.

Very few people at these incomes in tech are living month to month. They're overall saving a fuckload even if they own a 911.
Yikes. And there is very little people can do to prevent this until someone makes this their election platform to change the system, right? I'm assuming this is all constitutional.
Personally, I LOVE my (2019) Volt. FWIW, it also has AA/Car Play.

First they kill the Volt -- IMHO the best PHEV on the market when I bought it -- now they kill a vastly superior interface to anything I've ever used in a car.

Sorry GM, you might just have lost a (stockholding, for now, at least) customer.
Seismonomics: Listening to the Heartbeat of the Economy
I was using CP/M since about 1978, but you're right -- AFAIK there never was a port of indent to CP/M. I did make some assumptions, but developing for CP/M on CP/M was somewhat painful. There just wasn't enough memory space to work efficiently, or (often) even fit the compiled image into memory (<~60k after BIOS/BDOS/CCP on CP/M 2.2). Chebyshev polynomials certainly imply floating point, which could be a BIG memory hog with so little room.

If I had the resources at the time, I would have undertaken such a development task on a more capable (Unix) platform. Such an environment would improve the ability for developing/debugging the optimizations required. As you say, indent was available in BSD since '82, and I know it was present on the Sun2 systems I used in '83.
Not everyone needs to go get a job immediately after being laid off. Most people I know that when laid off from a tech company, take a minimum of 60 days off before starting a new job.

If you're 22, saddled with student debt, just signed a lease on an apartment and just bought a fancy new car you might be in a different situation but there's a lot of engineers in their 30s and 40s where a 3-6 month break from employment ("sabbatical") is something they've been planning for, for a few years now anyways.
> Isn't that what memorizing is? Repeating something until you just know it?

Memorizing is a directed effort to remember something. Remembering something as a side effect of some other task is not memorization.
I think this PR is modifying the inputs to the methods that do it: https://github.com/twitter/the-algorithm/pull/17
Getting into politics.
it's hard to tell from what you're saying: you're planning on putting an ML infrastructure training server on a regular 15A circuit, not in a data center or machine room? And power is paid for by somebody else?

My thinking about pricing doesn't include that option because I wouldn't just hook a server like that up to a regular outlet in an office and use it for production work. If that works for you- you can happily ignore my comments. But if you go ahead and build such a thing and operate it for a year, please let us know if there were any costs- either dollar or in suffering- associated with your decision

[edit: adding in that the value of this machine also suggests it cannot live unattended in an insecure location, like an office]

signed, person who used to build closet clusters at universities
> ”GM will absolutely lose this battle. Idiotic move.”

I dunno. Lack of CarPlay support has not exactly stopped people buying Teslas.

On the other hand, Polestar uses Google’s Automotive OS for it’s infotainment system and yet also supports CarPlay. So the two aren’t necessarily mutually exclusive.
Astrocytes: Integrators of arousal state and sensory context
Infotainment is so horribly universally bad that Apple CarPlay and the Android equivalent came into being.
Time to do something more than respond to cortisol. Before something smarter than the monkey decides to guide the monkey effectively.
> Unfortunately, the term “tech” has become diluted to the point of worthlessness. Every company of any size needs programming, statistics, and such.

Reminds me of this:

https://www.satellitetoday.com/innovation/2019/02/26/microso...
Khan Academy has a course on internet safety: https://www.khanacademy.org/college-careers-more/internet-sa...
4% of global revenue...
i got into an argument with a bigtech employee (outside of work, in a social setting) that senior engineers should spend 25% of their time mentoring junior hires.

he literally could not understand that a small company can't afford to do this.

not only that, he also could not understand that small companies doesn't even make junior hires. there's nobody to mentor!

and i would guess this guy has like a top 1% iq, whatever that is.
https://github.com/twitter/the-algorithm/blob/7f90d0ca342b92...

```

def query_keys(self, language, task=2, size="50"):

if task == 2:

if language == "ar":

self.query_settings["adhoc_v2"]["table"] = "..."

elif language == "tr":

self.query_settings["adhoc_v2"]["table"] = "..."

elif language == "es":

self.query_settings["adhoc_v2"]["table"] = f"..."

else:

self.query_settings["adhoc_v2"]["table"] = "..."

return self.query_settings["adhoc_v2"]

if task == 3:

return self.query_settings["adhoc_v3"]

raise ValueError(f"There are no other tasks than 2 or 3. {task} does not exist.")

```
(for inconsistent usage)

As background, style insensitivity was introduced so that codebases can use a consistent camelCase or snake_case regardless of the style used by upstream libraries.
> 2016 Republican nomination

Right, but it's 2023. He became POTUS and the entire Republican party reoriented around him. Things change, and the outsiders are now named Cheney and Bush.

> only Trump has been uniquely attacked in this way

Because maybe Trump is uniquely a criminal. I guess we'll see after the trial(s). If he's acquitted, then maybe it was a witch hunt after all. But if he's convicted, then it's more likely it was a legitimate investigation all along that put a deserved criminal behind bars.

> the man clearly has few true friends in Washington.

He has very true friends in life, because he's an odious individual and serial career criminal. I mean, the man has been found guilty in a court of law of fraud. His namesake charity was a fraud. His namesake school was a fraud. His namesake company was found guilty of criminal tax fraud. Is it really such a surprise that now he's crossed the line into criminal territory?
the-algorithm is such a pretentious name for a repo
In theory, Groupon was just supposed to be a good way to distribute coupons.

If you think coupons are a good business model, then Groupon makes sense as a distribution model.

If you don't, then I'm not sure why you would think Groupon would magically make coupons better.
> but it’s not a “mind” like an AGI.

Please define this. ;)
You can run a large percentage of Steam games without Steam anyway (they just don't call the Steam DRM methods and don't tell anyone), and most of the rest work with a dummy steam_api.dll.
Show HN: MasterPlan – A complete audio mastering workflow in a plugin
Hi HN, I'm Sam! Long time reader here who finally left a desk job in embedded systems a few years ago to start my own company (Musik Hack) as the technical chops, with my co-founder Stan coming from the music business. It's been really inspiring to read so many stories here, so I'm proud to be going through the motions myself!

I'm sharing our first product, Master Plan, an audio plugin for mastering music. We took all the stuff required to turn a decent mix into a major-label quality release and jammed it into one easy-to-digest tool. Then we amped it up with a very special loudness circuit that outperforms some industry standbys and competitors in listening tests. I'm very excited to share and hear what you think, especially if you've got an opinion about how our loudness circuit is doing compared to whatever you're currently using.

MasterPlan runs as a VST, AU, or AAX audio plugin on Mac (Intel/Apple Silicon) and Windows. It does require an email address to use, but that's it (no password, 2 factor, or otherwise).

----

PS: If you haven't heard of "mastering," but got this far anyway, it most obviously increases perceived loudness. It also brings out the most pleasing bits of whatever material it started with (like salt does to food). Mastering also helps your track sound good on all sorts of devices, whether they fit in your ear or hang above a stage. Anyway, you've probably seen the word at least once in the phrase "Remixed and Remastered," so now you know!
The OS will be in the cloud interfacing into our brain by then. I don't want this btw.
Heh, you work at AWS or Google Cloud perhaps? ;) (Only joking about this as I constantly see employees from AWS/GCloud and other cloud providers claim that cloud is always cheaper than hosting things yourself)

Sure, if you're planning to service a large number of users, building your infrastructure in-house might be a bit overkill, as you'll need a infrastructure team to service it as well.

If you're just want to buy 4 GPUs to put in one server to run some training yourself, I don't think it's that much overkill. Especially considering you can recover much of the cost even after a year by selling much of the equipment you bought. Most of your losses will be costs for electricity and internet connection.
National parochialism is ubiquitous across 42 nations around the world (2021)
Context: I teach at Princeton and study social media and recommendation systems.

From a very quick skim of the repositories, this appears to be quite limited transparency. The documentation gives a decent high-level overview of how Tweet recommendation works—no surprises—and the code tracks that roadmap. Those are meaningful positive steps. But the underlying policies and models are almost entirely missing (there are a couple valuable components in [1]). Without those, we can't evaluate the behavior and possible effects of "the algorithm."

[1] https://github.com/twitter/the-algorithm-ml
In particular, HLS allows existing HTTP load balancers and content distribution networks to be reused for video streaming -- you don't need to build or buy application-specific infrastructure to use it, as you would have with previous streaming protocols.
It removes the extra weight to Twitter blue tweets?
There are different versions.

Some like you said, are basically an reservation to for accomodations for a specific time period every year at a specific place.

But there are others that are basically "You have 4 nights a year at accommodation options X, Y, X". So you aren't guaranteed any specific locations or days ahead of time.
Brex Now Charging Foreign Transaction Fees
A few of my clients are Brex customers and having a meeting with one this morning revealed that Brex is now charging up to 3% on foreign charges. Haven't seen anything official from the company. So just a heads up for any Brex customers who do business in foreign (non-US) countries know that you'll get charge 3% going forward.
Maybe "qualunquismo" but not whataboutism.
I wonder what determines 'cred' for this part:

https://github.com/twitter/the-algorithm/blob/7f90d0ca342b92...
That's exactly what the fine was for - apparently I should have displayed a prompt and asked the user if he allows to see a google maps widget. It's definitely my fault but to my defence I've never seen anything like this on any website in my life.
My understanding is that can work for model inference but not for model training.

https://github.com/bigscience-workshop/petals is a project that does this kind of thing for running inference - I tried it out in Google Collab and it seemed to work pretty well.

Model training is much harder though, because it requires a HUGE amount of high bandwidth data exchange between the machines doing the training - way more than is feasible to send over anything other than a local network connection.
You'd think the EU would force the industry to come up with a standard.
I really hope this is the future of coding.
How can non-official documents exist inside a government organization? What divides the two?
Gross. That completely defeats the purpose of Markdown: still being human-readable[0] without a renderer step.

This takes a README and makes it not a README. If you want custom styles and to make something pretty, you want a webpage. And you can do that on GitHub Pages, so it's not like there's a huge barrier to having to set up a completely separate web host for your GH project.

[0] For the most part; you can of course still do some pretty unreadable things, especially with the Markdown extensions GH supports.
Well we're not going to get an American test for cars that don't get sold in the US, but Tesla says the EU standards figures are 18 kWh/100 km for the model S and 20 kWh/100 km for model X. Nothing about model Y, maybe it's not sold here, but these numbers are much higher than Peugeot's, on the same test. It's not unexpected since the 308 is smaller and much more recent than Tesla's models.

You've seen that I'm already convinced that Peugeot (and Stellantis in general) is not going to be a good EV choice, but... the figures seem to show that they don't compare unfavorably to Tesla on the criterion you chose.
The average American has the same life expectancy as the worst part of England
It always had it.

Edit: Why am I downvoted? It literally did, it even was named as you'd expect it ("sort by latest" or something), tho the location was less obvious as it was under the stars icon above the feed.
That's my thought as well. Complicated system like this rely on all sorts of related services and data stores. This seems like the sort of thing that sounds a lot more interesting than it is in practice. I would bet many non-technical people expect "The Algorithm" to be a straightforward and self-contained system.
Obviously, the majority of Texas female voters who voted for Greg Abbott after he signed a 6-week abortion ban don't agree with you about what is a "basic health care right." Also, women are significantly more religious than men! Anything that excludes religion as a basis for politics is going to disempower women.

You have a bizarre definition of "democracy." In my Muslim home country, abortion and homosexuality are both illegal. That's democratic. Having some member of the elite, such as a judge, decide that the people cannot have the laws they want, because of their personal ideology, is not democratic.
Is CatBoost faster than LightGBM and XGBoost?
https://www.cbsnews.com/news/india-police-officer-accused-ra...

https://nypost.com/2022/05/05/indian-girl-who-reported-gang-...

Also, they were just examples. I have no doubts that men are affected too. And now you talk about "police brutality", weren't you saying they are good guys?
The full list of model features in that file is interesting.

I am surprised at the number of inherently redundant and colinear features, though. (e.g. has_1_image, has_2_images, has_3_images, has_4_images)
> OS support being dropped by an app should only be done because the app is dependent on APIs, etc. that only exist in newer versions of the OS.

"In addition, future versions of Steam will require Windows feature and security updates only present in Windows 10 and above."
It's a fantastic scene. The childlike earnestness of Sonny asking completely deflates Spooner's rant.
Party in the issues: https://github.com/twitter/the-algorithm/issues
I’m not even the OP. Regardless, your entire post is way too defeatist . We can and have made changes that meaningfully improve end-user privacy. For example, Apple’s changes on iOS led to massive reductions in data collected from user apps. This was pushed by people inside Apple.

Similarly, governments can and have pushed for privacy regulations. Not all of it has been successful, but we’re at the first wave of these efforts.
Sorry will clarify with the following Wikipedia citation to paint the difference https://en.m.wikipedia.org/wiki/Uranium_ore

40 times more likely to find than silver. 500 more than gold.

There is this old 1981 article about how to recover uranium from lignite by the Oak Ridge National Labs https://www.sciencedirect.com/science/article/abs/pii/030438...

P.S. (Because I have been digging and reading on all the issues related to how uranium is distributed on Earth’s crust; if someone else is interested) Also a bit random to non-Europeans citation but the concentration of Uranium (in its various forms/compounds) is causing issues when we access deeper aquifers. Perhaps, something to consider also in California https://www.sciencedirect.com/science/article/abs/pii/S00489...
More popular related post: https://news.ycombinator.com/item?id=35391433
my biggest problem with these models is that they cannot reliably produce structured data.

even davinci can be used as part of a chain, because you can direct it to structure and unstructure data, and then extract the single component and build them into tasks. cohere, llama et al are currently struggling to consistently produce these result reliably, even if you can chat with them and frankly it's not about the chat

example from a stack overflow that split the questions before sending it down chain for answering all points individually:

This is a customer question:

I'm a beginner RoR programmer who's planning to deploy my app using Heroku. Word from my other advisor friends says that Heroku is really easy, good to use. The only problem is that I still have no idea what Heroku does...

I've looked at their website and in a nutshell, what Heroku does is help with scaling but... why does that even matter? How does Heroku help with:

Speed - My research implied that deploying AWS on the US East Coast would be the fastest if I am targeting a US/Asia-based audience.

Security - How secure are they?

Scaling - How does it actually work?

Cost efficiency - There's something like a dyno that makes it easy to scale.

How do they fare against their competitors? For example, Engine Yard and bluebox?

Please use layman English terms to explain... I'm a beginner programmer.

Extract the scenario from the question including a summary of every detail, list every question, in JSON:

{
"scenario": "A beginner RoR programmer is planning to deploy their app using Heroku and is seeking advice about deploying it.",
"questions": [
"What does Heroku do?",
"How does deploying AWS on the US East Coast help with speed?",
"How secure is Heroku?",
"How does scaling with Heroku work?",
"What is a dyno and why is it cost efficient?",
"How does Heroku compare to its competitors, such as Engine Yard and Bluebox?"
]
}
PCIe for Hackers: Extracting the Most
Many of the ones I know end up at other companies that had troubles finding good employees before. And a bunch of others started their own companies, and they are/will hire their own employees, too.

I wonder if there are statistics about this kind of trend. How many new companies spawn for ever 100 tech layoffs? How many more jobs are created in 1, 2, 4, and 8 years after the layoffs?
Scoop: White House won't pay for Twitter verification
I suspect that these are used for metrics tracking rather than being fed back into the recommendation engine. But there's no real way to know for sure given the limited release. These predicates aren't actually used anywhere in the code that's been made available.
If a "wealth tax" for individuals passes, I would hope so.
For the bank? Your money is a lien. By transferring the money to another bank you’re saying “hey bank. I’ve decided the loan I gave you is due right now. Gimme gimme gimme”. In most cases, the amount you move is a pittance and they find it in the couch cushions (ie they’re holding that in cash to float precisely for this purpose or they sell some assets to provide liquidity). All banks carry more loans than they can meet instantaneously. That’s definitionally how they work. They use the loans you give them to hand out loans to others at a much higher interest rate and collect the difference.

What happened here is that the VCs generated a run such that SVB had to liquidate a lot of assets. Moreover, these assets were long term investments. Meaning unlike your sudden and immediate demand for the money, they had to sell those assets on the open market. Unfortunately, since interest rates had gone up the loans the bank had given out were not as valuable on the market and the bank had to take a loss. For example, it had given out a million dollar loan at 3% over 30 years but now it was selling it at 750k on the open market because no one is buying 3% interest rate loans because currently the rate is ~5% (they couldn’t wait the remainder of the loan duration). That created a huge hole in their balance books. They tried to shore it up with a loan which would have plugged the hole but that fell through for some reason I forget (not sure why they announced they were looking for a loan before they had closed it).

So in practice you don’t have to think about anything. Moving $2 million is nothing. It’s when you move $2 million and convince 1000 other people to move it all at the same time that you can make the bank feel some pain (I don’t have a sense on the amount of money moved that cause a problem - all numbers here made up).

What I don’t understand is that a simple change to the regulation would close the ability of random people to create bank runs. If you want to transfer > X million ahead of time, you must give an N day notice. Additionally, the bank can choose to deny it if it’s coming from a regular (ie not money market) account (chequing / savings). You have a special carve out for regular periodic payments and you’re done. It’s kind of ridiculous that you can give a loan to someone and then arbitrarily ask for the entirety of the money immediately without warning.