skysight-inc/HackerNews huggingface dataset:
We are inviting you to pay for Orion browser by Kagi (if using macOS/iOS).

Zero-telemetry, with built in adblocker.

Business model: pay for the browser.

Your turn!
If the models were Free, they also wouldn’t be locked up at Disney when he left.
Came to say how fab it is that they bought an embroidery machine! As a quilter who uses two stitches on her not inexpensive sewing machine, I think that's so cool!
Mushrooms straight up are not protein-rich.

Like sure, there aren't a lot of other calories either, so you can eat lots of them and get protein, but they are basically flavoring, not nutrition.

Eggs, paneer and yogurt aren't vegetarian.
My son has had good luck with buying a set of adjustable legs from Monoprice[1] and an IKEA countertop[2] for the desktop. It's one of their laminiated wood models and can be trimmed, though he left his at the full 6 feet. He got the legs on sale for $200 and the countertop was $79.

[1] https://www.monoprice.com/product?p_id=43563

[2] https://www.ikea.com/us/en/p/saeljan-countertop-oak-effect-l...
St. Patrick can be celebrated without alcohol. And probably should.
> Why does this need to be built in at such a low level that not even flashing a new OS can see it/stop it? Why can't it be something users can opt in to, or at a minimum opt out of? Whether sinister or not, it's a "call home" mechanism built into to the lowest levels of the hardware, an area where users are powerless, even though they "own" the device.

It's done by the ROM, at the OS level, not the chipset. Some custom ROMs will proxy this request to mask your IP.
1Password's recent developments are sad, especially so since I don't know another fully-featured secrets manager I can wholeheartedly recommend to less tech-savvy folks. Bitwarden's UI is nowhere near as polished and end-user-friendly as 1Password's IME, and the password managers built in to phone operating systems manage passwords - nothing else. Also, 1Password's sharing functionality is invaluable - if I want to share a credit card number or something with family, I can just put it in a shared vault.

Is there another user-friendly, powerful password manager out there that I can recommend instead?
There's OnlyKey. Mine have been fine.
Filemaker is underrated. Long ago they came out with Bento which was supposed to be Filemaker for personal use. But it didn't last long.

Both Filemaker and Bento both lacked the out-of-the-box document writing feature. It makes Notion very easy to start using. In fairness both Filemaker and Bento were aimed at very different use cases.
Yeah, but what does the Venn diagram look like there?

Yes, new technologies create new jobs.

But it’s not usually the people from the old jobs who are taking those new jobs.
>how many people have the 9k USD to sink on the radio required?

its a soft target. US telecom has habitually revealed their almost contemptuous disinterest in security and rely almost entirely on price barriers or law.

It would be trivial to pivot your narcotics racket to digital for only 9k or your online ransomware to LTE snooping.
I only bring this up because the GP post is talking about furniture you build yourself, but when you design and build something you will likely want it for significantly longer. I'm sitting at a desk I designed and built last summer. It represents around 80 hours of work over 4 months, from design to implementation. Everyone who sees it oooh's and aaah's, and I expect to have this desk until I die.

It's surrounded by Ikea stuff that will be thrown away when we move next.

From what I understand this is a part of why Ikea's furniture has such wide appeal. You had a hand in building it, so you have some attachment to it.
No need to. Nothing is as powerful as web. Not flutter for sure. Not yet.
Thank you. Great idea.
> Another advantage of multipart is that the server can stream each part separately. For example, say you're uploading 5 files by encoding them into a JSON object. Your server will have to buffer the entire JSON object into memory, decode it, and examine each file.

That's not true. You can stream JSON, too. You just have to do something fancier than JSON.stringify().
I asked ChatGPT:

Sure, I can explain deep learning using the analogy of mixing paint colors.

When you mix different colors of paint, you can create new colors that are a combination of the original colors. Similarly, in deep learning, you can combine different types of data, such as images, text, and audio, to create a more comprehensive understanding of the information.

In a neural network, which is the basic building block of deep learning, each layer is like a different color of paint. The input layer represents the initial data, which is like a blank canvas. As the data passes through each layer, the network extracts increasingly complex features, similar to how mixing different colors creates more complex hues.

Each layer in a neural network can be thought of as a different color that is mixed with the previous layer's color. As the colors mix, the resulting color becomes more complex and nuanced, just as the data becomes more sophisticated and detailed as it passes through the layers of the neural network.

At the end of the process, the output layer represents the final result, which is like a finished painting. The deep learning algorithm can then use this final output to make predictions or classifications based on the input data.

So, in essence, deep learning is like mixing paint colors to create new and more complex hues, but instead of colors, the mixtures are made up of data and the neural network layers are the different colors being mixed.
I find this discussion fascinating, but YouTube is one of the last places I’d go for that discussion, unless it’s a debate between two highly-regarded minds on the topic (like Chomsky vs Foucault back in the day). I’m not very interested in listening to random people tell me their ideas without any good pathways for critiques or questions.
Biggest paradox is spending so much time and money to outlaw/curb cigarette use and then legalize marijuana and downplay the harmful effects of the drug. Probably don’t need to rely on scientific studies, regardless of bias, to understand a mind altering drug, that’s inhaled as smoke into lungs, on the whole, is probably a net negative for society.
I remember seeing a pen-test that was done way back in the mid aughts that identified a bunch of vulnerabilities. It was so long ago, I wonder if they were mitigated or just given lip service.

EDIT: I found it. Pretty interesting read:
https://cure53.de/pentest-report_nitrokey.pdf

This penetration test against the Nitrokey Storage firmware, as well as the Nitrokey
desktop app, was performed by a team of three penetration-testers and took eleven
days in total to complete. The test is part of a larger series of security assessments. In
later phases, security-focused assignments will include tests against the hardware itself,
alongside detailed look into other models of the Nitrokey and its accompanying
applications and tools.
A simpler tax system will take power away from those currently in charge (whether they are public facing like Senators or Presidents, or they are behind the scenes as in 'deep-state' bureaucrats or donors).

This is why attempts to simplify the tax system never go anywhere.
Years ago at the office I had a conversation about complexity where I asked someome who knew more than me whether feature extraction, similarity metrics, kolmolgorov complexity, and graph isomorphism were really all just the same information encoding and compression problems, and he said something like, "well, sure, but that means everything is just a compression problem" which I thought was pretty funny. This author seems caught in a similar loop.

On a related epistemological loop - I was just using the openai tool to query some of Kripke's modal logic ideas, and find whether they could be expressed in code (they can, for a given theorem in modal logic, gpt can represent the theorems in lisp if you want), and what struck me about the whole premise was that he invented not so much a broader logic that was revelatory or quantitatively truth finding - but a neutralizing, critical logic designed to dilute others. Gödel's theorems are apparently for logics that can produce arithmetic, which seems basic an necessary, but Kripke figured, "fine, what about logics that don't produce arithmetic?" (the result is basically digraphs.) Apparently there's nothing Kripke produced that can't be produced symbolically with digraphs, and like the author's compression example, it's just digraphs all the way down. Same flaw.

Kripke's ideas seem like fun philosophical ideas, but they're more of a scheme backfitted to a familiar ideology, and then you see his ideas come up often again as foundations for other less rigorous and less quantitative theories. If you've ever heard people use the word "modality," they're attempting to control a discussion using some of these same techniqes in what they percieve as a power struggle without any need for alignment to truth or reality. By adding parallel logical systems without the same criteria for consistency, Kripke created a tool for infinite uncertainty whose main feature is to neutralize the concept of logical truth in its subjects. I think it will be immensely useful in creating AI's, but it will also be the basis for the truly dangerous parts of it. Modal logic does not relate to the universe or need external consistency, it only exists as a kind of solvent for another existing logic it effectively criticizes. If there were such a thing, I think it may be a recipe for actual evil.

Anyway, good luck with the "everything is compression" thing, and even the basilisk that is Kripke's digraphs dressed up as ontology. I don't think there is a there there, but if we get to talk about this stuff, there may still be some fun to be had.
The one thing I always wondered about was what percentage of AWS customers are actually really just Microsoft customers running Microsoft products on AWS (essentially using AWS EC2 instances as a better Rackspace/OVH, etc.), versus AWS customers running AWS native products (i.e. S3, Redshift, ElasticBeanstalk, Kinesis etc.) [1][2]

If a significant percentage of AWS customers are using AWS EC2 instances just as IAAS for Microsoft products then the AWS market share lead is primarily due to the inertia of Amazon's MBAs having figured out how to financially capitalize x86 machines for 0% interest rates before Microsoft's MBAs did (or more likely Microsoft's historic margins were so high that they didn't want to take the margin hit).

Never could find a number for it though...

[1] https://aws.amazon.com/windows/products/
[2] https://www.youtube.com/watch?v=HfGcrV9_3kQ AWS re:Invent 2020: Win the market opportunity for Microsoft workloads on AWS
Certainly! Here's an explanation of how a neural network is trained using the analogy of mixing paint colors.

Initialization: The weights and biases of the neural network are like the starting colors of the paint mixture. Just like how you need to start with some base colors to mix new ones, the neural network needs some initial weights and biases to begin the training process.

Forward Pass: During the forward pass, the input data is fed into the neural network, and the network produces an output. This output is like the mixed color of paint that results from combining different colors.

Backward Pass: During the backward pass, the error between the predicted output and the actual output is calculated using a loss function. This error is like a measure of how close the mixed color is to the desired color. Just like how you would adjust the mixture of colors to get the desired hue, the neural network adjusts the weights and biases of the neurons to minimize the error between the predicted output and the actual output.

Repeat: Steps 2 and 3 are repeated many times with different input data points, and the weights and biases of the neural network are updated after each iteration. This process is like adding more colors to the mixture and adjusting the amounts until the desired color is achieved.

Validation: After several epochs, the neural network is evaluated using a validation set of data to determine if it's overfitting or underfitting the training data. This step is like checking the mixture of colors to see if it matches the desired color under different lighting conditions.

Testing: Once the neural network has been trained and evaluated, it can be used to make predictions on new data. This step is like using the paint mixture to create a painting.

In summary, just like mixing paint colors to achieve a desired hue, the neural network adjusts its weights and biases to minimize the error between the predicted output and the actual output until it accurately predicts the output for new data.
you'll be limited right away by the context lenght of 4096 tokens
F# has largely moved back to PackageReference, since package versions can now be managed centrally across projects, and F# scripts can now reference NuGet dependencies directly.
Inspiration, apparently? According to wikipedia, Watson and Crick both credited Schrödinger's book (what is life) as a source of inspiration for their initial research.
Will a Flying Doll – – – Fly?
Hoisting and... And applying/recalling.

Quite a lovely post, thank you, well constructed.

One other theme that shows up (briefly) is that storing the data isn't good enough. Being able to access your compressed data, being able to apply yiur compressed models to new applications is, in my view, another core aspect of intelligence, one that requires & uses real ingenuity.

Being a highly associative person is, IMO, a colossal form of intelligence & intellect.
We're inspired by the greats (https://www.notion.so/about). Our Github code review bot is named doug-engelbot
I'm a big fan of Nate Silver, but I think this idea that he "predicted N/50 states correctly" in 2008 and 2012 is mostly a myth.

(1) The website doesn't "predict" a state when it reports that the probability of (e.g.) an Obama victory in Florida is 50.3%, which I believe is what 538 assessed in 2012. If you think that a state's probability distribution is 50/50 between Candidate X and Y, and the outcome is Candidate X, obviously you don't get any points for a good prediction. You didn't make a prediction. And if you say it's 50.3% probability, it's essentially the same situation. You didn't make (much of) a prediction. Which is okay!

(2) In terms of Brier Scores or entropy scores, which compare the probability with the outcome and give more "points" the stronger the prediction was made (vs. what actually happened), FiveThirtyEight's predictions are generally just middle-of-the-pack compared with other websites and mechanisms of aggregating these polls. (See, e.g., https://web.math.princeton.edu/~sswang/Wang_Origins_of_Presi...) There's no strong evidence that 538's predictions are much better or worse than other reasonable ways to weight and aggregate the recent polls that anybody else might come up with.

(3) And... almost everything that tries to quantify the accuracy of the predictions is talking about the state of the 538 website ON THE MORNING OF THE ELECTION. But that's probably the least useful day to be looking at FiveThirtyEight. By then, you can just wait a few hours and get the actual results. :-) The predictions that are really valuable are the ones that are made some time in advance, e.g. one or two months.

But (a) it's hard to directly measure the "accuracy" of a prediction like that, because... things change and we can't rerun the universe, and (b) it's not like the model is somehow time-invariant to be able to measure the accuracy indirectly by proxy; there are various "time until election" factors included in these model itself, the dynamics of the election itself probably have a "time until election" dependency, AND the website operators, including 538, are generally manually tweaking the model parameters or behavior in ways they don't always disclose as the election evolves.

So basically... it's hard to say. I think 538 has done great work, and in general it's incredibly useful to have a consistent world model that you can rationally update to discuss the effect of recent news. The FiveThirtyEight political models are as good as any for that! But I don't think there's much strong evidence they're better.
The way i feel in the morning after i had too much to drink the night before.
If you know the answer, you know the answer. That’s what the interviewer wants to see.
Parent commenter here. Before submitting that comment I literally checked once again to try and find these settings. I looked through the General, Tabs, Security, Privacy, and Websites settings. It didn't occur to me to look in Advanced for a display setting. I also looked through View, but never would have guessed that "status bar" is the name for the link preview feature.
I am well aware.

But that's all off topic.

The statement I was responding to claimed that humans could never afford nice furniture. But we've had axes for 1.6 million years, and abundant old-growth forests for 1.6 million years, and so, for the vast, vast, vast majority of human history we have in fact had the ability to make sturdy, beautiful, long lasting furniture completely for free.

The middle ages and the "dark" ages weren't even all that bad. They had more free time than we did. They had far more birds and beasts. They paid less taxes. They didn't have a multi-billion dollar ad industry telling them they're not good enough. They lived with nature, a nature we'll never know.

Yes, there was the war and the religious craziness and the fear of apocalypse - wait a minute, we still have all of that stuff except the fear of apocalypse is way more legit now.

I love modern plumbing, and many aspects of the internet. I love the access to culture and knowledge. Antibiotics are cool. I'd rather live now than then. But the idea that people 500; 5,000; or 500,000 years ago had nasty lives far inferior to our own is not entirely justified.

Again though - that's all off topic. Those guys 500,000 years ago had free housing, free wood to burn, and incredible biodiversity which we'll never be able to appreciate in our world of modern anthropocene extinction. And, probably, really nice furniture; if they wanted to make it.
Yeah, this is most apparent on their best-seller: Kallax.

Try lifting your old Kallax vs the new one. No, you are not suddenly turned into Captain America. It's the new Kallax that's suddenly became so light and hollow.
> This functionality will have a prominent in-app message that will ask Individual and Family account users to choose whether they prefer to keep telemetry on or off their account. Nothing gets collected until they’ve made this choice, and users will be able to change their preferences whenever they would like.

Does the choice for "Track My Activity" look like a "Continue" or "Next" button? Respectfully, it sounds like you're trying really hard to not actually say it's going to be opt-out.
On iOS, there's a shortcuts app that enables you to automate things.

I have a shortcut for the following:

Receive Any input from Share Sheet, Quick Actions
If there's no input Ask For Text
|
Append Shortcut input to Documents/inbox.txt (make new line)

Every morning I sort lines from my inbox file into todo.txt, ideas.txt, calendar, etc. It's pretty much a modified version of GTD:

[1] https://hamberg.no/gtd

I have one idea per line in my ideas.txt file, so I use the following to pick some random ideas:

cat ideas.txt | shuf | head -n 20

Reviewing old ideas is all about cross-pollination. With fresh eyes, I'll sometimes append a small insight to the line, or delete ideas that have lost their magic.

When ideas get too large to fit on a single line, I break them out into unpublished essays. And if I work on them long enough, eventually I publish them :)

---

Whoa, what a coincidence! I just checked my ideas file, and I'm exactly at 3333 lines.

cat ideas.txt | wc -l
3333
And no encryption. Sovereign.
Greater weight gain is the PRIMARY use of antibiotics on animals. There are not given to the animals because they are sick, or to ward off sickness; they are given to ALL animals in a flock/herd to increase their size and therefore their value.
I don't think we do. The modus operandi is to cast a wide net, interview any potential candidate that have at least some chance to pass the technical interviews (based on resume or referral, recruiters don't dig very deep). Pre-screener is 1-2 coding interviews, then if ok, on-site interviews. I believe lots of big tech companies, including FAANGs, proceed this way.
How to Efficiently Scrape JavaScript-Rendered Data with Playwright for Go
"Implied consent" isn't consent at all, and bluntly the idea that it is is creepy and gross as fuck. That's why, for example, GDPR forbids services from limiting or withholding service based on cookie acceptance.

Willful, informed, enthusiastic consent is what we're after.
It’s just not the same as having transfers available on the remote command line. I have a program I wrote that maintains a local server with a port forwarded over SSH. Then on the remote side I have a client program that sends a file(s) (or folder) back to my local computer. It can either save the file or open it, depending on the command I ran.

This type of automatic transfer makes it very convenient to generate figures on a server (where the data lives) and then view them locally. It’s a much better workflow than having to use sshfs or scp.

What I wrote is really quite similar to an old transfer program like zmodem with the added feature of auto opening a file if I choose.
I absolutely expect people to use their work email for personal purposes.
The sort of people who [can afford to] drink a glass of wine at dinner also have access to health care. This correlates with better health outcomes.
'High Risk of Biological Hazard' in Sudan After Fighters Seize Biolab, WHO Says
> Unfortunately, most database tools are too unapproachable or cumbersome for most.

This always used to be Access and Filemaker's appeal, but they've been so widely and thoroughly derided over the years you wouldn't know it.
> It could also not grow, and slip back to losing billions.

It's been growing at similar rates for 13 years - rate of growth slowly decreasing.

It's way more likely to continue at it's rough trajectory than to have a sudden massive reversal.

But, sure, anything is possible. Google could also get obliterated by an alien civilization. Not gonna bet on that scenario, though.
Its worth noting that random noise is also incompressible.
Sigh... f*ck sports leagues/governing bodies. The reason some honest people pirate streams for sporting events is because they make it so annoying to pay for them. Some examples...

I live in the US.

I briefly took an interest in the EPL. If I wanted to watch all EPL games (or have the option of watching any particular EPL game), I'd have to subscribe to Peacock _and_ Fubo -- and I'm still not sure that gets me all games.

I briefly took an interest in the NHL (this was years ago, granted -- things may have changed). If I would have subscribed to their service, the ONLY team whose home games I couldn't watch would have been the TEAM OF THE CITY I LIVE IN (i.e.: "my" team).

My two favorite sports, though, are Cycling and F1.

I LOVE cycling. To watch every UCI race, I'd have to subscribe to GCN+ (they have the Giro), Peacock (they have the Tour de France and La Vuelta), and Flobikes (they have most of the Classics races).

THE ONLY sports governing body that has figured this out (for sports I like, anyway), is F1. I pay F1.com $80 a year and get MORE content than I would if I watched the races on ESPN. I can see EVERY RACE, EVERY QUALIFYING, EVERY PRACTICE. I can even choose WHOSE car I want to see the first person view from.

If you want to "stop pirates", make it easy for them to give you money and watch their favorite sport.