skysight-inc/HackerNews huggingface dataset:
> But 9 or 10 months is not enough time to really know that it's going to last long-term. If I allow the work-home imbalance to solidify, what longer term effects will I come to regret?

Look at what happened to Yahoo and Intel. After allowing very liberal work for home policies for decades, some people caught on and figured out how to slack off and milk the nice paycheck and benefits.

Then Intel and Yahoo cracked down.
That comment was meant to answer two people at once, my bad.

I was referring to the proportion of population that was not at risk. That population has an insanely small chance of having long term side effects from data I've seen. Which was the reason I'm not sure why we would force them to get these vaccines.

EDIT: To be more precise; Of course we want a vaccine and vulnerable people to get it. You'd rather risk getting whatever potential side effects of that vaccine than get covid. I'm more torn about why healthy young people should get it.
You can call `osascript` from inside your app, or you can export an AppleScript script as an app. So yes, it works on unsigned apps. It has the same Gatekeeper caveats as any other unsigned app, but there’s nothing about notifications that’s especially locked.
Android runs on set-top boxes, so it makes sense.
Ah ok, reminds me of the infamous Dropbox comment here.
A few years ago, Apple's Portland, Oregon office hired dozens of top architects away from the Intel site 10 miles away (for big $$$). For those of you that don't know Oregon Hosts D1X (Intel's gigantic cutting-edge fab) and several architecture teams, predominantly veterans from the P4 product line.

This probably has something to do with it.
Is that true? Intel chips are known to be overpriced.
They didn't just throw hardware at the problem, but also talent. Something that is way more scarce.
Personally I'm very disappointed that we keep inventing new standards, like pyproject.toml when other things have like setup.cfg, existed for an extended period of time, works well, and is supported for reading and writing by the stdlib.
> Producing an accurate MSA is hard even if you have many homologs.

To assess co-evolutionary couplings the amount of homologs in the MSA is not as important as the number of effective sequences (i.e. sequence depth and diversity) in it.

> They require protein homologs which means they can "only" do this for wild-type proteins.

Even remote homologs work, as shown by the widespread use of HHM-based methods in the prediction pipelines.

> This work is useless with mutant and synthetic proteins.

Unless you generate a flurry of data with them using deep mutational scanning for example. As long as correlated mutations are present in the MSA the technique should work as expected no matter where the protein sequences originated.
Yes, but no temperatures cannot be substracted (nor added).

For dates I believe you're right because they are vectors (what you think is "an absolute date in the calendar" is in fact the time elapsed after 00h00 year=1 after christ, so it's in fact relative)
https://bbcmic.ro/

Is pretty close:

https://bbcmic.ro/#%7B%22v%22%3A1%2C%22program%22%3A%22MODE%...
The irresponsible thing about healthy, low-risk people not taking vaccines is that it puts high risk individuals at higher risk of catching the virus because high risk people are the ones that can't take the vaccine.

Vaccines are not 100% effective but they don't have to be. The goal here is to reduce transmission in the population to a level where the virus can no longer spread. That is only possible if enough people take the vaccine and healthy people should absolutely be in the front of that line.

This is not a purely personal choice. You have to understand that by deciding not to immunize yourself you are making a decision for everyone else.
Stop Calling Us Frontline – We are your last resort
She will carry the cargo equivalent of 9 shipping containers, or they are going to actually load 9 shipping containers onto the ship?

The ships and crews are expensive. Any time they aren't moving they aren't making money. Isn't the whole point of shipping containers that you can buffer them up and then rapidly load them onto a ship once it arrives?
> The search caused me to ask: can we prove, or disprove, that HN has a specific Apple bias? Whether it's positive or negative, whether it's stronger than bias around other tech companies?

How are you going to tell apart bias in favour of Apple and just being in favour of Apple?

Maybe it's easier to prove in some of the positive cases if you notice that people are making demonstrably incorrect favorable statements. But I doubt that you can reliably prove that bias doesn't exist.
You can average mathematically anything you want but it won't have the unit you want it attached, and the meaning you would like. Averages of interest rates, are not interest rates
> but at $200/ 8GB, getting up to 32GB or 64GB is going to be a challenge and quite expensive

It's worth noting that Apple's price for the upgrade doesn't necessarily tell us much about the actual cost to them. They've famously charged exorbitant amounts for RAM for a long time, including charging that same rate, $400/16GB, to bump up the RAM on the current (Intel) 16" Macbook Pro:

https://www.apple.com/shop/buy-mac/macbook-pro/16-inch-space...
You first.

More seriously, this is one of those situations where the short-term pluses are plain to see, but the long-term risks are vague. Why not employ the precautionary principle here?
> What do you think 1/150 and 1/68 translates to?

It translates into the increase in ONE DECADE. Now go read the claim by the author: that this increase happened in ONE CENTURY.
> We are their products as the now popular maxim goes.

But this isn’t true for Apple. They sell their services and don’t depend on ad revenue.
Seeing the caveats:

> - very slow

> - inefficient

> - incomplete

> - buggy and leaky

I'm assuming it isn't intended for production use, at least right now, maybe ever. Could just be early, could be a toy project, could even be satirical.
The top 5% household income in the US starts at ~$270k, which leaves at least $100k for investing after taxes and ordinary expenses. Combine this with US investment market performance e.g. the S&P500 over the last decade, and it is straightforward how someone with a good income might arrive at $2.5M in a relatively small number of years starting from zero.

Americans have notoriously poor investment/saving habits, which obscures the fact that it is remarkably easy to accumulate liquid wealth in the US if you are a diligent saver. The median US household has enough investable income, after all ordinary life expenses, to accumulate a couple million dollars over a typical career. High earners can easily save 10x that amount.
Life-size moving Gundam statue unveiled to media in Yokohama
It’s not entirely clear to me exactly what was meant by the grandparent post by converting to PyTorch or Tensorflow.

There are two discrete concepts: training and inference. You can think of training a bit like the source code and inference a bit like running the compiled binary. The different frameworks have their own serialization formats for their model weights.

If the goal is to do inference using CoreML weights trained in CreateML on non-Apple platforms (eg on a server or android device), converting them to ONNX is a way to do that.

You probably won’t be able to pick up training on another framework though.
A survey about how do you learn to drive
It's homebrew's own choice that they have 100% of everything on Apple before they ship. They're simply lazy and don't want to have to deal with support of people complaining why something doesn't work. This is the problem with Homebrew and why people shouldn't use it.
So true. Shannon seems to get lost in the noise (sic).
Anecdotally, I saw some folks on reddit's linux board that were running Linux in virtual machines on the M1 and getting quite decent results.
Seen a few mentions of poetry. Not many for pip-tools which has been around longer, is less opinionated and has many of the same benefits https://github.com/jazzband/pip-tools
Pip + setuptools is "it's working, no need to change" in the same way that "SVN works so why bother with Git?". It seems fine until you try the alternative, and then the thing it replaces just feels painful to use.
> What would Slack's brand and standing be if it weren't for the availability and ease of onboarding?

potentially, profitable.
Is this a bot? This is just lifted from the article verbatim.

Do I get my Turing tester badge?
Yeah, noticed that it's #1 there – congratulations with the impressive launch!
> We’re at the start of Apples two year transition to ARM CPUs. If important thing X doesn’t work right, and it’s important to your workflow, then buy an Intel Mac.

> Otherwise have patience and wait for people work through the issues. Besides in a years time Apple are undoubtedly going to release the M2, M3 etc with a whole slew of “pro” devices better suited for developers.

There's also, arguably, a pretty pronounced bleeding-edge trend over the past 12-18 months or so, across a number of device categories: foldables everywhere, new game consoles, multiple open-spec Linux phones, M1 Macs, etc.

And if you're not itching to early adopt, the timing for all of these is actually kind of great. Because parallel to this, there are multiple ecosystem-level changes hitting over the next several months that should translate to big usability jumps for any of the ones that get a next version. (Though probably not the consoles, since those tend to run longer lifecycles by design.)

Of particular note: by the time the M2 or M3 has ironed out the macOS ARM ecosystem, you can also reasonably expect high-end devices as a category to have 6GHz WiFi and a modern spec for Bluetooth audio.
The preference order is Reduce, Reuse, then Recycle. If they're going hard on Reuse, that's better than if they jumped straight to Recycle from a green perspective.

If Tesla is ending up with all these batteries in the end, we've also done another good thing for recycling, which is forcing Tesla, the producer, to deal with how to dispose of them, which is not the case with oil companies
Here [0] is a post that discusses some of the reasons why Silicon Valley became a high tech hub.

[0] https://yarchive.net/comp/startups.html
> Is there any disadvantage to being a "forever newbie" at companies? I learn sooo much when I change jobs.

Always being in situations where you're learning is a great idea. You should be able to find learning situations as you move up in your career.

Always being in situations where you're a total newbie/beginner is not so great. You should ideally be able to build upon previous experience in some way with each new job. The problem is that your performance will be evaluated relative to some baseline, and constantly being too far on the "total noob" side of that baseline will start to send the wrong impression as you get older.

That's not to say you shouldn't avoid opportunities where you'll need to learn a lot to begin, but you should be evaluating new opportunities with an eye toward career progression at each step. It's easy to hit the reset button multiple times when you're young, but people will have different expectations about baseline competency when you've had a decade of career experience under your belt.
I used to think so, until I saw the house recently sold by someone who worked on the Alien movies (David Giler?). $2 million for a really nice house in the Hollywood Hills, which looked to be actually designed, not just some standard floor plan from Tolt Brothers. In the Redmond, WA area, $2 million might get you something that isn't a 4700 sq. ft. box with windows. Hell, San Diego is looking downright affordable these days. And that's from a Seattle perspective. I can imagine a Bay Area resident with some equity (I have a big imagination) would do well moving just about anywhere else, including SoCal.
It really depends on your workflow. Also see: https://news.ycombinator.com/item?id=25238608
Stratechery surfaces some interesting insights from time-to-time. But yes, the author's writing style consistently comes across as overly pedantic.
I have an anecdote possibly related to this. I work for a semiconductor company and we were in pretty good standing with TSMC. All of a sudden we were informed we should longer contact the usual engineers them and a new team of engineers was assigned to us. It was very clear the new staff was their B-team. Rumor around the office the A-team went to support Apple.
DuckDuckGo Cites Harry Potter Wiki as Explanation for Ringworm
Although this in itself is a minor issue, it shows that you can't put your trust in these kinds of automatic fact aggregators.

(Screenshot link in case it is promptly fixed: https://cdn.discordapp.com/attachments/773927790248329286/78...))
you need to have to use app specific tweaks, the best author i've found is haoict
Obviously a valuable project to know about when you don't have enough dead badgers to hand.

https://everything2.com/title/How+to+install+Linux+on+a+dead...

(Originally documented in Strange Horizons magazine, but the original source appears to be offline.)
> iMacs are only an option if you want the monitor Apple happens to have paired with it, and that monitor addition isn't cheap, either. The Mini is still the only non-ridiculously priced "desktop" that Apple offers.

I agree! (well mostly) That's why I said Apple has a giant hole in the middle of their desktop lineup!

For a machine that has a really good quality 5k display integrated, the iMac is a well priced system. If you don't want that 5k display, you fall into that giant hole I talked about.

IMO the big problem with Apple's lineup for some time isn't the price on the things they sell, it's the fairly big holes in between those products. So you end up

> But I think the OP was referring to the stagnation of the general desktop space

Looking back, it does make sense that way.

I expect this will shake things up a bit.
It's the basic low-level building block of an integrated circuit.[0]

[0] https://en.wikipedia.org/wiki/Standard_cell
I'm one of the few that never left Firefox.
> I'm more torn about why healthy young people should get it.

So they don't infect and kill their older relatives.
In a prior(/n) life I worked on Protein folding, and participated in CASP.

This was a/the "holy grail" problem of molecular biology, long thought to be an automatic Nobel. It's somewhat unfair to characterise developments prior to this as insignificant. In fact by the time I was working on it, that "automatic Nobel" was no longer assumed, because the field had made quite a bit of progress, in many tiny steps by many different groups, and the assumption was it would continue in this slog until reaching some state of sufficiency for practical applications without ever seeing the sort of singular achievement that would be worthy of praise and prize.

Far more went into this breakthrough, obviously, than those TPU-hours: the development of those TPUs, for example, and assembling a team that can make use of them. The protein folding problem requires very little knowledge of biology or physics to understand and was always pre-destined for some outsider to sweep. Indeed, there was game that allowed people to solve structures by intuition alone, and, IIRC, some 13-year old Mexican kid cleaned everyone's clock some years back.

Why didn't some research group do this first? Most of them just don't have the budget. We were five people, total, IIRC, and felt pretty rich because we were computer-people getting the same budget for materials as everyone at our institution, which was all wetlab, otherwise. So I was a student being paid $20/h but with a $50,000/p.a. hardware budget. How many false start does it take before you do that run with 128TPUs "for a few weeks" that works? If you blow your budget on one gigantic Google invoice, what's going to happen to you when it doesn't pan out, and the whole institute laughs at you? Etc...

There are quite a few rather good things this problem has inspired over the years, though. Among them is CASP itself: the idea of instituting a yearly competition that gives unequivocal feedback on the state of the field and every group working on it is rather rare, I believe, and it's been successful. Indeed, it would seem that CASP was necessary to attract outside groups like Deepmind, i. e. deep-pocketed industry groups striving to prove themselves on a clearly defined problem. Chess, Jeopardy, CASP: maybe it would be worthwhile to explore not <solving x>, but <stating X as a problem that attracts Google/IBM/etc.-scale money> as a superior strategy in some cases.

There was also folding@home, pioneering the distributed-donated-computing model, and the aforementioned gamification of the problem, and hundreds of the most intricate, custom-tailed, more-or-less insane ideas people devoted months and/or careers and/or careers of their most promising post-docs to that didn't pan out.

Like cellular automata. They don't work for this, trust me. (Great hit for interactive poster sessions, though)
Interesting ... plenty of opportunity then potentially for the 100 samples to have prediction similarity to the set of published discoveries (for expected or unknown reasons)?

I suppose it will take a few more years of repetition for the challenge to confirm that the problem has been been solved -- but I wonder if a new version of the contest is going to be needed as well? Maybe the model accuracy is now high enough to invert the contest to a form where models generate predictions for randomly selected unknown samples -- and experimental teams are then expected to make observations for those particular sequences over the next two years as part of their otherwise research agenda selected experimental workload?
I haven’t found a compelling need to switch to Poetry, but independent experimentation and competition can be good thing. I wouldn’t be surprised if the new pip resolver was partly inspired by Poetry, similar to how some NPM improvements were motivated by Yarn. [1]

[1]: https://javascript.christmas/2019/10
Yeah, it's like saying "well all Apple is doing is throwing good engineering at the problem".

All they've really done is taken an advanced process, coupled it with a powerful architecture they've been iteratively improving on for years, and thrown it at software that has been codesigned to work really well on those chips.

Yeesh!
Wouldn't work at my company, as I'm often enough stalled by trivialities (who has password to this third party service? why does this test does not pass today? deployment to k8s seems broken? need to order access to database X etc. etc.) that it's impossible to make much progress in a short timeframe (much less during an all-nighther, when all people who could help are unavailable) so I need to spread my work evenly across the week. A lot of it can be just waiting on a Teams reply, though.
At least in the UK, 75% of deaths from covid are from people 75 and older. I imagine that it's similar here in the US.
America’s deadliest serial killer went undetected for more than 40 years
The world GDP divided into two equal portions
> "armies of students who routinely spend 4-6 years of their PhD trying to solve a structure of a single protein"

Back in the 1990s, when I worked on structure data, I remember that at least some crystallizations were easy enough they could be done as a rotation project.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6287266/ suggests that life is now a lot easier than the 1990s. Quoting the abstract:

> Macromolecular crystallography evolved enormously from the pioneering days, when structures were solved by “wizards” performing all complicated procedures almost by hand. In the current situation crystal structures of large systems can be often solved very effectively by various powerful automatic programs in days or hours, or even minutes. Such progress is to a large extent coupled to the advances in many other fields, such as genetic engineering, computer technology, availability of synchrotron beam lines and many other techniques, creating the highly interdisciplinary science of macromolecular crystallography. Due to this unprecedented success crystallography is often treated as one of the analytical methods and practiced by researchers interested in structures of macromolecules, but not highly competent in the procedures involved in the process of structure determination.

Certainly some proteins are extremely hard to crystallize, and the new single-atom EM work will help a lot. But are there really "armies of students who routinely spend 4-6 years of their PhD trying to solve a structure of a single protein" these days?

I honestly don't know. I'm sure some do. But if so, that army is pretty small compared to the vast numbers who more routinely use crystallography.
I think anyone can take part. There are a few unaffiliated participants.
The AI Telegram bot that abused women is still out of control
>Not to take away from the argument that we should vaccinate everyone.

I'm not sure if this is a concession for argument's sake, but imo it does take away from it. Why do you think it doesn't?
Not downplaying your personal experiences, but the reverse can also be true. Watch some episodes of Live PD.
Women at the Hearth and on the Hunt
> Moving high bandwidth RAM to be shared between the CPU & GPU

There's a really weird amount of focus on this. Unified memory has been a thing for almost half a decade now. It become a thing as soon as AMD stuck the CPU & GPU behind the same IOMMU ( https://en.wikipedia.org/wiki/Heterogeneous_System_Architect... )

Now you may ask, but why hasn't anyone leverage this before? And the answer is they have, but it's usually not worth doing because usually the integrated GPU isn't worth using for anything. As in, the market for HPC software that doesn't benefit from a discreet GPU is vanishingly small. So nobody really cares about it. But there are applications of this. Things like Intel's QuickSync should be internally leveraging this on the relevant CPUs, for example. So those sorts of frameworks (like MLKit) will just be a bit faster and cheaper to spin up.

The rise in consumer software that does "HPC-like" workloads (eg, facial recognition, voice recognition, etc..) make this more interesting, but there's nothing new here, either. It's certainly not playing any meaningful role in the M1's current performance. The bigger question here would be to what extent does Apple push this. Like is Apple going to try and push integrated GPUs for the iMac Pro? What about the Mac Pro?