skysight-inc/HackerNews huggingface dataset:
A curious history of beds through the centuries
Also the founder / CEO of the company bought a private island around this time. It was featured in a magazine and, looking at the photos, it felt so bizarre and frustrating that, while so many suffered, some at the company seemed to do quite well.
Allocating a big struct for everything and not using pointers is one of possible techniques of dealing with data in C programs. Anyway having a requirement of 8G RAM is not a good example of something "can not be replicated".
Well, god help you if what you're pasting contains unicode for a start.
Killing Adobe XD because they couldn't buy Figma for $20 billion means to me that they would never have been a good owner for Figma. XD may have not had as many features as Figma, but it was still a decent program and could have been a very good competitor to Figma for far less than the cost of buying out that company. The buy-in of Adobe's subscription model was a compelling reason for my employers to provide only XD to me for my work.
When it comes to databases, that's when I get the most conservative in tech choices. Stick with the tried and tested approaches. Data/Metadata integrity is generally the single most important thing for whatever I'm working on.
They wouldn't decide for you, merely make you an offer. Eg you say "go to supermarket A" which you fully intend to go to because it fully meets your needs and expectations. You get an offer to go to supermarket B instead, and that supermarket will also pay for your journey. You can still go to your original intended destination. Some number of people will take the offer. The entity controlling the vehicle gets the commission, and supermarket B gets a way to acquire customers.

> why wouldn't Uber be doing it already be doing it

They are already most of the way there [1]. Driverless vehicles will be cheaper to operate which will make physical locations more amenable to paying to acquire visitors.

[1] https://www.uber.com/us/en/advertising/
Their financial reports consistently paint approximately 50% gross profit (revenue - cost of revenue). However, their R&D burn is enormous. Sales, marketing, general and admin costs are approximately equal to their gross profits.

In an alternate reality, you probably could have structured 23andme into a company making modest net profit. But that would not have matched the 6 billion price valuation either. And it's quite likely that a substantial part of the R&D burn was because they recognized the limitations of their core product.

https://investors.23andme.com/news-releases/news-release-det...
As you say it yourself it happens sometimes. So they can have these one-on-ones in a conference room, can't they? And yet, somehow they need their private offices at all times. Strange.. :)
We still had this (--NSDisplay ?) in the first Developer Previews of MacOSX.
Cryptography generally, with special focus on the Ethereum blockchain which he created.

The internet is unfortunately dominated by junk ads, spam, phishing, and tracking, and seemingly will continue to worsen.

When it comes to Vitalik’s posts, unless otherwise stated, he focuses on Ethereum’s architecture and future capabilities.

See https://ethresear.ch for a peek at how the Ethereum community is a hotbed for testing of new cryptographic techniques, particularly zero knowledge proofs.
My suspicion has always been that this sort of data–common SNPs from all comers and no specific phenotype collection–is not very useful for any sort of drug design. And if it is, publicly available data will be just as good as 23andMe's larger amount.

It was a bet worth trying, IMHO, but always a risky bet. And with bio, you don't find out if your bets work for a decade or more, because the iteration cycle is 10x slower than software for businesses/consumers.
Please send a message to yo@univerbal.app, so I can help you out?
True, but the answer to that is to use conference rooms — either existing ones or special, smaller ones intended specifically for two or three people to use. It’s what non-managers have to do whenever there’s a need to speak freely.
Maybe for a dev that makes sense, but horrible ux for anybody else
I can share the feeling, despite my UNIX related rants, there were quite a few I actually enjoyed working on, Solaris was one of them.

Still own several Sun CDs they used to give away to developers.
> fact that computers are a means to an end?

I see no fact here.

If you think about it computers have done as much to reveal and create
new ends as they have to satisfy existing ones.
I wonder why they went chose macaroons over biscuits. The later is only mentioned once in that article, but doesn't talk about why they were not selected.
You should never, ever do date math naively like this. There are too many unexpected edge cases, especially between time zones or daylight savings time or leap years, but even without them: https://moment.github.io/luxon/#/math

In fact I would strongly argue you should never use the JS Date built-ins at all because they are terrible. Use a library like Luxon or date-fns. As a frontend dev, this is the most common category of bugs I've dealt with in my career, and I've spent dozens of hours fixing other people's datetime handling because of how poorly implemented the JS Date API is. It's full of minefields and gotchas.

The Temporal API is supposed to fix some issues, but that's been in development for like a decade now.
https://www.forfeit.app/ is a similar one (YC W23)
I like the "solve the now" perspective here, and having code examples is very helpful to understand some of the rational behind the approach. Having read your previous "tedious survey"[0] post on various token formats, I generally agree with a lot of your conclusions. Curious though about your thought process wrt macaroons vs biscuits.

To me the one major downside of macaroons has always been the single shared root symmetric key. Many use cases are addressed by third party attenuation, but then there are the problems like key rotation, having to do online verification, no built in encryption, no peer-to-peer support through an "untrusted" fly.io, and no third party token verification without decryption like in signcryption[1] schemes. Of course this is traded off by having to do PK issuance and management so I can see the simplicity of it.

Is fly.io scoping this pretty hard to just auth tokens with third party attenuation, or do you see further development and maybe moving to other token systems like biscuit when/if the need arises to address those known issues?

fwiw I've done a bit of research work myself on a token format using signcryption [2] where I explored addressing some of these ideas (but not the attenuation side of it yet, which I get is a big deal here).

[0] https://fly.io/blog/api-tokens-a-tedious-survey/

[1] https://github.com/jedisct1/libsodium-signcryption

[2] https://github.com/michelp/pgsodium/blob/feat/signcryption-t...
one caveat is that (AFAIK) if you are doing optical simulations in your rendering, like prisms or glass, the spectral rendering would produce more accurate caustics/reflections/refractions. But to be fair, most realtime rendering is not doing that. I could imagine it being important for stuff like CG films.
One could argue, but it would not be true, because in the real life it obviously didn’t keep him focused (see X, formerly known as Twitter).
> I haven’t been able to bring myself to do it, due to trust issues related to handing over something like that

Same here. Imagine the value of this data in the hands of insurance companies that are willing to misuse it. Will we, as a society, be able to prevent that "value" from being realized?
> mood was that academia was increasingly hostile to smart people who just wanted to do research.

Exactly these people are more likely to be spending their time speed running Mario.
Related/flipside from last week:

Figma Offers Employees Shares and Buyouts After Collapsed Adobe Deal

https://news.ycombinator.com/item?id=39133000
Nothing I stated is untrue. Humans are prone to err on the side of feelings, even if they are what make us human. They are also what make us generally illogical or at least non-strategic.

The difference is people who can segment feelings from impacting making logical decisions.
pribacy. There are other things but when you get down to it, it’s privacy. To not be observed and create your own space is natural..
What is the difference between defense and offense when you are fighting against an invading army occupying ~20% of your country? Is it "offense" if you attempt to push them out?
You're arguing against practice in mathematics based on practice in an empirical field, though. Truth in biology is fuzzy in a way truth in most mathematical fields is not.
If your workplace doesn't have a lot of meetings or informal gettogethers, set up meetings with each group or team in your organization where the new joiner is the guest of honor. Space them at least a day apart so the newcomer isn't overwhelmed. Each group describes what they're working on and why it's important to the organization.
Companies hire few of these people too (bad culture fit).
> The only thing "dark matter" and "dark energy" have going for them is unfalsifiability for our type 0.5 civilization.

I don't think that's fair at all. Neither phenomenon is unfalsifiable.

By definition, dark matter an unknown gravitational effect. It's not fundamentally unfalsifiable, we just don't know what's causing it. The assumption is difficult-to-detect matter seems most likely because theories like MOND which suggest that "maybe gravity works differently from how we thought" are being investigated actively and just don't seem very likely so far.
Mmmm, I think there's some confusion here. The 737 MAX has its own certification, as has every generation of the 737 (Original, Classic, Next Generation and now MAX). However, if a pilot already has another certification of the same type then they are only required to take a differences course to operate other variants (which comes out to a few simulator sessions and a couple of check rides), as opposed to earning an initial type rating from scratch (which can require over a month of instruction).

Also it's entirely normal for a variant of a vehicle to have significant physical dimension differences. They're considered variants because their [chassis, airframes, hulls, etc] follow the same design and assembly, and because they handle in a similar way; they don't need to basically the same vehicle in a different coat of paint.

I guess a somewhat decent comparison is...Apple makes a type of computer (the MacBook Pro) and releases different variants (and within that, versions) of it. A fully specced out 2023 16-inch MacBook Pro and its entry-level 13-inch variant are both fundamentally the same type of computer even though the former is significantly bigger and beefier. Now, if Apple tried to shove a whole RTX 4090 graphics card into a MacBook Pro's characteristic svelte and relatively vent-less chassis we would say "no, that's stupid. Make a different type of computer if you want to do that". But that doesn't and shouldn't mean that a 16-inch laptop is a different type of laptop from a 13-inch one.

(As an aside, your numbers are a bit off, probably because you're comparing the wrong things. The "original 737" is two planes/variants, not one, and the "737 MAX" is similarly four planes not one)
Using Apple Vision Pro: What It's Like (Mkbhd) [video]
I don't get it; maybe it's broken in my browser. I can drag 4 types of items to a floating grid that connects them but then nothing happens.

EDIT: Ah, you drag items on top of each other for them to change. Instructions unclear, and I am dumb.
At this point the better answer is invest in CUDA parity on other platforms, not throwing out the ecosystem to spite nVidia.
I have also pointed that while for Intel this repeats their previous two process launches, which is not a good sign, TSMC has never had such problems recently.

While one reason why TSMC did not have such problems is that they have made more incremental changes from one process variant to another, avoiding any big risks, the other reason is that Intel has repeatedly acted as if they had been unable to estimate from simulations the performance characteristics of their future processes and they have always been caught by surprise by inferior experimental results compared to predictions, so they always had to switch the product lines from plan A to plan B during the last decade, unlike the previous decade when all appeared to always go as planned.

A normal product replacement strategy is for the new product to match most of the characteristics of the old product that is replaced, but improve on a few of them.

Much too frequently in recent years many Intel new products have improved some characteristics only with the price of making worse other characteristics. For example raising the clock frequency with the price of also increased power consumption, increasing the number of cores but removing AVX-512, or, like in Meteor Lake, raising the all-cores-active clock-frequency with the price of lowering the few-cores-active clock frequency.

While during the last decade Intel has frequently progressed in the best case by making two steps forward and one step backward, all competitors have marched steadily forwards.
The hack was logging in with reused user credentials, then scraping the ancestry data. Encryption would not have helped in this case.
KDE's Megarelease 6 – Release Candidate 2
It would be surprising to me if it consistently made this error. It may well correct you (and contradict itself) if you later used the word incorrectly. A human tutor might be less likely to make a mistake, but they would probably also get it wrong more consistently if they did.

As usual with language models, I think the key is to learn to live with their limitations as well as their strengths.
This has little to do with the post but someone knows a good tutorial/tutorials of Godot besides the documentation?
Teens shouldn't be coddled as though they are children. They should be given responsibilities and some amount of autonomy. Prepare them for when they eventually screw up and they will be okay. Also, they are probably being exposed to way worse shit by their peers in school than from using the internet.
I'm not a simulationist, but both quantum and relativistic phenomena do look a lot like simulation optimizations to patch over increased granularity of a simulation and improve parallelism in a simulation.

For instance, my understanding is that nuclear reactor simulations mesh the volume into volumes much much larger than atoms (cm-scale, in most cases, I guess) and then use bulk statistics for each element of the mesh. A finer mesh is much more expensive to compute, and gives diminishing returns in terms of accuracy.

My fist job was discrete event network simulation. Some competitors used per-link bulk statistics instead of per-packet discrete events to run simulations much faster, but with lower accuracy. We had a reduced-accuracy hybrid simulation mode to use per-link bulk statistics to affect the per-packet event simulations for an epoch, and then use those results to update the link bulk statistics for the next epoch. I'm sure these sorts of optimizations are common across all kinds of simulation domains.

Limiting information travel to the speed of light, and using true randomness instead of hidden state determinism would improve simulation parallelization.

Someone might reasonably believe the "real" universe isn't quantitized and/or it's quanta are smaller than our universe's, and our observations of quantum phenomena are artifacts of the use of bulk statistics in simulating the mesh of our universe.
I don't think 23andme's strongest asset point would be in direct drug discovery, but rather in helping target sub-populations for clinical trials. The SNP data that 23andme has is relatively low quality compared to proper sequencing, but (combined with their survey data) is probably at least as good, or better information available for typical clinical trial planning or screening.
What would be the rough cost of equipment and consumables required to do DNA sequencing for say 10 people? Assuming similar genome coverage as 23andme gets.

Last time I researched it the estimate was 5-6 digits, but I'm sure technology advancements have made it cheaper. What happened to that $1000 nanopore?

I have some acquaintances with lab experience who could run this, and could split the costs between friends and family. Everyone gets their own data, no copies are made, all samples are destroyed. We can resell the equipment after to recover some of the costs.

This is the best way to be sure about the data not leaking or getting sold to boost CEO bonus.
I feel like you might be looking at this incorrectly. This is political of course given it's FL, but I'm attempting to look past that. The issue, which has been exhaustively studied by people like Jonathan Haidt and posted about on HN, is that there is great evidence that the underlying psychological impact and algorithms with social media platforms is having a negative effect on teenagers, especially females. Some of these studies have been shared right here on HN, but here is a link - from a mostly left leaning source just for you:

https://www.theatlantic.com/ideas/archive/2021/11/facebooks-...

This isn't the same as the Yahoo chatroom or social media that some of us older people grew up with. We might as well compare apples to oranges. Does that mean we should ban it? I don't think it matters.

My personal opinion is that stuff like this can't be stopped by a stroke of a pen or by whether you identify as left or right wing. 13 year old me didn't care about some checkbox asking if I was a certain age. The only thing that will stop this is for kids to not want to use social media - they have to think of it as not cool. Given the ever increasing sophistication of this type of software on a psychological level, I don't see that ever happening.
Back in 2021, when I wrote the API token survey post, I had some, uh, caveats about Macaroons, and linked to a talk from a developer at Chain who had gone through the experience of deploying them. Don't get me wrong, it's still an excellent talk†, but after working on implementing them for a year or two I find it much less damning than I did at the time.

One problem Chain seemed to run into was coupling between their services. They had a fast Golang "ledger" and a slow Rails "dashboard", and found that Macaroons forced all their requests to loop through the "dashboard". This was because they'd opted to do short-lived Macaroon tokens that needed to be reissued every 5 minutes (eminently sane), and only their dashboard could generate the proper token?

Another problem they had with Macaroons: their Rails dashboard has an RBAC permissons interface. But once they've issued a Macaroon, users can't change permissions with the interface anymore. But that's a problem with all stateless tokens, not just Macaroons; in fact, Macaroons probably help here, because if you're presenting a Macaroon to the dashboard interface in the first place, the RBAC interface can just attenuate it for you and hand it back to you.

I still think this is a design that mostly makes sense only if you have a problem domain for which both attenuation and delegation make sense. Most basic CRUD apps don't have these problems, and using Macaroons would be a mistake for them.

† https://www.youtube.com/watch?v=MZFv62qz8RU
"The universe is a simulation" is a very strong claim, and most of the justifications for it also support the weaker claim "the universe is computable".
Well, as the employee I now have to pay for real estate because I need an office at home ! And my company is clearly not going to pay for that.
Passive exposure to task-relevant stimuli enhances categorization learning
Is the reward of doing this worth the risk of being blacklisted by the metrics keepers?
Sounds like its time to export your data and delete your account before they get sold to someone who will do who knows what with it.
VC logic is that 5% of the companies they invest in returns 100x their investment in those. So even if 95% of the companies never manages to break even they are still profitable.
Google Video was killed after the YouTube acquisition and YT flourished under Google.
Didn't Digg collapse in 2012 or 2011? The internet was a different place back then. Forums, in general, have gone downhill since then, mostly on account of low-effort phoneposters. (A trend heavily promoted by Reddit.)
The HP Way ?
Reading between the lines, Adobe fired all of the people who were working on XD when they did the Figma deal.
Yes, but that speed limit is imposed on our reality. If a higher-order reality didn't have those limits they could do computation that didn't have those limits.

Our computing architecture reflects our reality, that's all that really says.
SEO spam is worse than ever. The only thing Google figured out is to raise the cost of website above 0 such as by requiring ssl and well written English.
Doesn't mean they've given up on a web platform completely, rather they've realised the one they were building on was built on the wrong foundations. Perhaps they even got some insight into how Figma architected theirs during the negotiations and will run with that
I don’t have ADHD and it’s difficult for me too. I remember being in an office watching the marketing guys toss a football back and forth in my peripheral vision while trying to concentrate. It made me hate those guys and our management.
I propose Spock %
Was this the plan all along? 1B for all that due diligence information seems cheap, i imagine there are a couple of teams rushing to implement at Adobe right now.
Music production is one for sure. Macs are the standard there and each screen usually represents a different "function" and is set up near the device or instrument it relates to. Most people use a macbook or ipad per "station" but for some setups you could run it all off one machine if the inputs were right. There are even workflow advantages to doing it that way. I've heard people wish for this.
It's not better because it doesn't actually work.

If you're not interested in a science experiment, Cassandra (or Scylla) are the multi-master databases that are mainstream and proven to work and scale. They're not fun or sexy and their feature set is much smaller but they do what they say and they work. Or AWS/GCP/Azure will happily give you an API for one.
I mean yeah I agree. I think most Catholics are amenable to TBBT for exactly that reason. I find the response that we’re talking about comes from the more “born again” literal types. Point is that Catholic doctrine and hence a well thought out framework for approaching christianity is likely not relevant to the type of person refuting TBBT on religious grounds. In my experience these types are definitely a minority, at least.
I can understand this perspective, but I think it can work both ways. I'm 44 years old, and would also rather work from an office than from home, primarily for social interactions, and wanting to work outside of my house. My experience has been the inverse of yours, that most of my younger colleagues, who have spent the majority of their careers working from home, would rather continue to do so, and either hadn't had positive experiences working in an office environment and don't crave a return to it, or have focused their needs for social interaction elsewhere.
It is good for this industry, but for every other industry things are worse.
Don't even think about "a la mode" then.