skysight-inc/HackerNews huggingface dataset:
These days, “high amounts” is a lot more than most projects need - even ultra-portables have 8GB or more. Most projects don’t have unit test suites limited on file I/O measured in gigabytes unless they also have a budget.
This is so strange and alien to me - go visit older mother, and potentially infect her. Health authorities, meanwhile, consistenly said - if you can avoid Thanksgiving, do it.
This is an issue of the more subtle aspects of English.

"To see DeepMind produce a solution for this" does not imply something is solved. I can produce a bad solution. I can produce a really good solution. All without solving a problem.
Even without any improvement, the amount of grunt-work the AI can pre-do and get down to a short-list - that in itself will see changes in progress speeding research up.
If the cost for every individual treatment is low, then the cost per treatment gets lower with more patients that can benefit from it.
I hesitate to use this phrase but isn't it important to look at the "ROI" on those audits to determine if it's a good thing or not? Whether you're poor or not, you shouldn't be getting the EITC if you don't qualify for it. What does this subset of audits cost the IRS, and how much money is recovered from it? How does that compare to auditing someone who is high income but with a fairly straightforward W2, compared to someone with a lot of Schedule C and 1099 income?

To be clear I don't think the only component of the "should we audit" formula should be expected ROI; there is also a (positive) chilling effect in general where the chance of a random audit should be just high enough to dissuade folks from fraud in the first place, but the penalties not so severe that someone is bankrupted from an honest mistake.
No, it's not. The folks who run CASP gave some nice PR, but it doesn't mean that protein folding is solved.
OK, got far enough through the first tip -- seems useful, although a bit abstract of course.
Because the default with chronically ill patients is no. There are also financial issues. If a patient is chronic then they are likely on ongoing treatments of some sort. If complication arise from the investigational medication then questions come up as to who will pay for what treatment. What if the complications lead to the patient having to abandon the ongoing chronic treatment? So the docs will lean towards no. And in the US there is the huge question of whether one's insurance even allows for such participation, but that is a question for one's lawyer rather than doctor. All such concerns can lead to the exclusion of certain populations, possibly the populations more relevant to the study.
My favorite of all time is The Most Dangerous Game. I just really enjoyed it as a kid, and continue to think about it 25 years later.

https://marshallbrain.com/manna is also a great one.
I had fun. These are a great, gentle intro to powerful tools.

One recommendation: Add a "What?" accordion entry that just states in plain speech what exactly you want done, without giving away the how. For a few of these I read the prompt and was like "uh..." then clicked learn and was like "oh all they want is find -type f".

Also, small nit, "find ./place-for-pipers -type f -name "piper" | xargs grep -i 'piping'" wasn't accepted due to the filenames being prefixed to the output. I feel like this is one of the benefits of piping it all through a single grep (grep, knowing the context of multiple input files, gives you useful output). Obviously you can massage both solutions to give the others' text output, but I just felt a little cheated that my response wasn't marked correct.
As you say, the API feels similar. However, result types have many benefits over exceptions, with a few drawbacks.

With a result type, in most languages, you can't just ignore failure. You must handle it, if you want to access the value. This prevents the common Java bug where a checked exception is caught but not handled. In rust, you must handle the error, propagate the error, or panic and fail fatally.

Results don't abuse a runtime either. The exception process is slow - stack traces must be generated and the runtime itself needs to manually find the catch block responsible. Returning a result doesn't find this problem.

Checked exceptions are fine for exceptional cases. At risk of sounding facetious, that's why they're called exceptions.

But there's an important distinction that we need to make: logic failures are not exceptional.

If you expect an operation may produce an error, you should handle it or crash the program. You should do this without incurring a performance hit, and using reliable and transparent primitives. Result types achieve both of these criteria, checked exceptions neither.

The drawback to results is mainly the loss of data. Generating a stack trace is expensive, but often that's a worthwhile cost. Exceptions could be more versatile, in that any part of your code can throw any type of exception, but a result can only contain a specific type of error. That's not always a pro, though.

So in general, checked exceptions are pretty awful for expressing normal failure cases, such as not finding a record in a database. They aren't great for anticipated errors, such as not finding a file, because of the chance a programmer might allow this to silently fail. Runtime exceptions are highly valuable, however.

[1] - A decent SO post on the topic: https://stackoverflow.com/questions/613954/the-case-against-...
The current M1 macs already are better value than the Dell, etc options. The 1000 air has a much better cpu, better gpu, and much better battery life than the corresponding XPS for the same price. The only demerits are the shitty Webcam and largish bezels for 2020.

Unless you think Apple is loss leading on the M1 devices, which I just can't see them doing.
The most accurate technique in computational drug discovery is protein-ligand binding prediction (https://blogs.sciencemag.org/pipeline/archives/2015/02/23/is...). Given the protein structure, you can predict which molecules will bind with it, even for molecules which have never been sythesized. Many protein targets have not been amenable to this because we don't know what the potential binding pockets look like. That set of proteins will now drastically shrink. We're going to have a lot of new drug candidates, and with any luck new drugs, come out of this.
Which services cause instability or problems in Win10? As much as I dislike Win10, that hasn't been a problem for me
> Not sure how common a immunosuppressive or immunodeficient state is in a typical population.

Pregnant women are considered immunosuppressed to a certain extent. I'm a software engineer and not a doctor though, so someone could perhaps shed more light on this.
Delegate, Don’t Abdicate
We "solved" this at Google years ago using Exacycle. We ran Rosetta (the premier protein design tool) at scale. The visiting scientist (who later joined GOogle and created DeepDream) said it worked really well "I could just watch a folder and good designs would show up as PDB files in a directory".
Well, presumably that's because of a lack of our ability to determine viral markers that identify spread with high certainty. If we could simply determine who we contracted COVID-19 from, we could easily sue them for damages and then you could take whatever risks you deem acceptable.

However, considering that we cannot, there is some threshold level of danger above which society will deem your personal rights forfeit and you will be forced to swallow your personal risk because others do not want to swallow the risk of your externalities. There is no objective coefficient that weights the two things, so you're pretty much subject to the wisdom of the mob.

So far, if it makes you feel happy, it is unlikely that you will be forced to take the vaccine. There will be no TB DOT-equivalent, internet comments notwithstanding.
I bought physical copies of these books years ago. They are great and Farnsworth consistently does a great job introducing and then reinforcing these concepts.
Mickey Peterson's Mastering Emacs Updated for Emacs 27
Capacitor: Cross-Platform Native Runtime for Web Apps
A vaccine is likely to be safer for low risk people than a course of infection, it's not just helping slow the spread.
Sorry it felt abstract! let me know which one it was, and I’ll improve it with the team
> the number of developers with access to an M1 chip until last month was very small

I don't think you needed M1 - I think A12Z was fine and widely available for many months.
You are using a strawman argument here. We all very well know what the OP meant.
Has it not? Neuton's laws of motion and Ohm's law are pretty om point
Not really alcohol occurs in nature. Just look up drunk squirrel videos, it's not a far leap to figuring out how to ferment stuff and extract the alcohol. this refinement of a drug is far more complicated.
veganism is an inherently unhealthy diet. it's why they have to take supplements.
We're Never Going Back: The future of work is remote
This was true even 10-15 years ago. Matlab is great but it is a behemoth. It's like comparing Unreal/Unity with Godot.
There are also some people who cannot be vaccinated. So getting enough of the population vaccinated to reach herd immunity protects those people too.
We need to see the relationship between confidence and GDT score. If you have a nice relationship then again everything is great. But... most confidence metrics from neural networks do not have a nice relationship to the primary metric.
Yes thank you for elaborating. I agree with you on both counts.
> How well does microG handle push notifications in general, and particularly Slack if you have experience with that case?

MicroG push notification module will talk to Google servers (that's one of the parts where you can't get rid of Google). That's because the Google infrastructure actually delivers push notifications and arbitrates between app's backend and the app.

IIRC the module is optional to enable for obvious reasons.
>Ryan Calo (Prof of Law, UW) once presented a fascinating bit of research on trying to automate something as simple as fining someone for speeding. [...]

Most of the problems you've listed only exist because of expectations caused by inconsistent/lenient enforcement by human police officers. People don't seem to have a problem with strictly enforced rules in finance. eg. "your bank account can't below zero without triggering a overdraft".
Yüz – Cemal Süreya ePub Pdf E Kitap Indir » EePubPdf E Kitap indir
Thanks for the feedback!

> One recommendation: Add a "What?" accordion entry that just states in plain speech what exactly you want done, without giving away the how. For a few of these I read the prompt and was like "uh..." then clicked learn and was like "oh all they want is find -type f".

Yeah this is a common complaint, because either the "learn" section gives away too much. I think I will just add more hints underneath the challenge like I did recently for #8 https://12days.testing.cmdchallenge.com/#/12days_8
Welcome to the PC Malaise Era
Disclaimer: I work at Gust.

That said, https://gust.com/launch/comparison/delaware-corp-vs-llc will give you a good idea of the trade-offs and considerations. Based on the homework we've done, C-Corp is a cost- and paperwork-competitive choice if you want to leverage equity for funding or employee incentives.

In terms of changing from LLC to C-Corp, statutory conversion is relatively straightforward especially if you structure your original LLC with future conversion in mind (choose a state that supports statutory conversion, understand how membership interest will convert into shares). I _think_ Stripe Atlas might still offer an LLC with an easy conversion path. Some more info on different ways to manage the change here: https://gust.com/launch/faq/articles/i-already-have-an-llc-d... (some Gust specific info in there, but most is general purpose).
The astrozenecca vaccine does!
I consider that developing software for the Apple platform is a free job to benefit Apple. It rarely pays, and you need to be always on the look for ways Apple is breaking the platform on their frequent releases. I personally wouldn't do that unless I had a very clear motivation.
Conda is a huge dependency to support out of superstition, and there’s no guarantee that the sloppy practices which break when pip updates won’t happen there - if you have developers doing things like not testing upgrades or importing private modules from pip that’s going to break no matter which tool does the upgrade.
I actually rejected it because I thought it would be extremely boring after a few days, I did that for a couple of projects when I was writing desktop apps in Python 2.x and I found it very easy (2.7 to 3.x is not especially hard either in most cases).

I never understood the point of hiring a full team for at least 6 months just for that. The only explanation I can find is that the project manager was clueless about Python.
They solved the latest folding competition benchmark set.

Shorter problems are easy to solve. Median score is mix of easier hand harder problems. Next year competition will have new set of much bigger and harder problems to solve.

This seems like a leap, not solved as in having solution that just works and scales.
The thing is, there aren't any desktop apps—much less Linux desktop apps—for the types of things I need to do on my phone. On an Android phone, I can buy train tickets (NJTransit), deposit checks (Chase), and have telemedecine appointments with my doctor (MyChart).

I don't know if all of these would work in e.foundation, but presumably at least some would run.
I spent some time in a fairly well known startup incubator. What always stood out to me is that the other founders in the program seemed to be more interested in playing the part of a "startup founder" than they did in actually building their companies. They would hold hours and hours of coffee meetings, pitch deck reviews, and presentations, but spend very little time each day actually coding or making sales calls.

I think a lot of this hustle culture comes down to wanting to feel productive, but at the same time wanting to avoid the difficult problems that come along with being an entrepreneur. It's a lot easier to talk about how hard you are working than to actually do the work itself.
My understanding is these vaccines either inject RNA into the cell (Pfizer), where it's executed like machine code causing growth of proteins which trigger an immune response, or it injects DNA into the cell nucleus (Moderna), where it triggers creation of RNA, which does the same. So, in a sense it kind of does "hack or mix" DNA. Really strikes me as a sci-fi kind of thing.

[edit] To clarify, it doesn't alter DNA, so much as co-opt DNA/RNA replication mechanisms. Does this cross some kind of "trans-human" threshold? I think so, but I also think clothing, reading glasses, and cell phones do the same. I see no reason to draw some kind of line in the sand here.
I like the way Bezos approaches the issue of sleep and -- more importantly -- what it is exactly that his job entails.

He needs a solid eight hours of sleep a day so that he can make just a few big decisions a day. But get them right.

What is the essence of your job? What should you be optimizing for that you're not?
> I don’t understand why people are expecting day one support for applications like Homebrew.

Because an important segment of Apple's customers--developers--rely on Homebrew for critical functionality.

Of course it's difficult to move an entire ecosystem to a new architecture, and Apple may have made the right move here. But it's not very hard to understand why people who stand to gain so much from the new architecture, but can't use it yet because the ecosystem isn't there yet, are a little annoyed.
The issue here is that there's just not data on how contagious the small percentage of vaccinated people who contract COVID may be. Realistically, all the indications we have so far are that there is some correlation between how much you experience symptoms and how likely you are to infect others. It appears that people who never get symptoms (true asymptomatic carriers) are fairly rare and also really not very likely to infect others. Most of the asymptomatic "super-spreaders" which have been reported were actually pre-symptomatic. It's theoretically possible that people who are vaccinated and become infected (which looks like only a fairly small percentage) will still be able to spread the virus, but in all likelihood that ability will be greatly diminished.
Newsletter to a Product (Thread)
Kustomer to Join Facebook
There are a lot of vegetables, whole grains, and beans. You can make an excellent diet just from those.

Small amounts of any of those "bad" things is just fine. The problem is that many people have come to see them as the core of their diet, with vegetables as an unpleasant supplement to be minimized. Learn to cook vegetables well, and vast frontiers of interesting, delicious food open up.

Indian food is an excellent starting point[1], for either vegetarian or vegan eating. For that matter most authentic Asian cuisines are heavy on the vegetables, with small amounts of meat for flavor, which is also a very healthy way to eat (especially if you substitute whole grains for the white rice).

Plenty of other cultures have thrived on vegetable-based diets. It's really not that difficult. You just need to get over the notion that "food" consists of a meat main dish, a starch, and a desultory, obligatory vegetable side.

[1] https://www.priyakrishna.me/indianish is a current favorite of mine.
AMD64 has 32 registers: 16 scalar ones, and 16 vector ones. Maybe 34 if you count RIP and flags.

From programmer’s perspective, the rest of them are either different ways to access these 32-34, or very exotic and rarely used.

P.S. Modern compilers don’t normally emit x87 nor MMX instructions, because they are often slower compared to SSE (all AMD64 processors are required to support at least SSE1 and SSE2). For instance, FSQRT on Zen2 has 22 cycles both latency and throughput, VSQRTPD has 20 cycles latency and 8.5 cycles throughput (lower is better), despite taking 4 square roots in one shot. I think it’s safe to assume x87 and MMX instructions are only left for backward compatibility with old 32-bit binaries, when writing new code they can be ignored.
> Also, small nit, "find ./place-for-pipers -type f -name "piper" | xargs grep -i 'piping'" wasn't accepted due to the filenames being prefixed to the output. I feel like this is one of the benefits of piping it all through a single grep (grep, knowing the context of multiple input files, gives you useful output). Obviously you can massage both solutions to give the others' text output, but I just felt a little cheated that my response wasn't marked correct.

Hm, yeah we can probably just search for the filenames and ignore everything else to make it a little more forgiving.
This aged well: https://www.theinformation.com/articles/why-slack-will-be-ac...

(You have to give them your email address to read.)
> and get down to a short-list

There's no reason to believe the list will contain all solutions, however.
Now, that may be the media soundbite, the actual numbers may surprise you.

In 2015, under the obama administration, out of 531k immigrant visas (green cards), only 21k were for employment based categories, with 8600 for investors (visas for sale), and only 11k for EB1,2,3 categories (that is high skilled employees of companies and academics/professors in universities).

In 2019, out of 462k green cards, there were 28k employment visas, with 16k for EB1,2,3 categories.

So, an asian would have a better opportunity to get a green card and subsequently become CEO under the trump administration. Both republcians and democrats want this feature of preventing high skilled immigration.

[1] https://travel.state.gov/content/dam/visas/Statistics/Annual...
[2] https://travel.state.gov/content/dam/visas/Statistics/Annual...
+1 on CreateML ease of use. Paired with some of the other models they provide out of the box, it can be very easy to get up and going quickly. I used it to create a mustache detector and before running an image through my model I needed to detect if an image had a face (images of hot dogs, for eg, were leading to weird results). I was delighted to find the ability to detect faces in a few lines of code right out of the box.

Now I just wish I could convert my model to Tensorflow! (or serve it over iCloud somehow?)
> This is an open-source implementation of the google cloud integration in Android that is necessary for push notifications in virtually all apps, the account mgmt that the Play Store uses and so on.

No, sorry, this is not true at all - MicroG push notification module will talk to Google servers and use their infrastructure to deliver the notifications.

It can't really work any other way - the app backends will request notification delivery from Google servers and you can't really MITM that.
The FCC is trying to govern content moderation: It doesn't have the authority
There’s a lot of reason to suspect that, once the pipeline is set up and validated, tailored RNA will be a lot cheaper than CAR-T. cell culture is hard, whereas ordering a gene length DNA construct is “only” a few hundred bucks[1]. From there, getting it to mRNA is relatively straightforward. Doing this all medical grade and at scale will be a huge challenge, but should be significantly easier than mass producing CAR-Ts.

[1] https://www.genewiz.com/Public/Services/Gene-Synthesis/Turbo...
"How come <our product> is so awesome?" - An article written by <company who makes product>
I read that! How does that search query work, just based on his organization scheme?
I agree. If a newspaper published a headline "Dr. Whatever cured cancer (... in some of her patients)" we would find it misleading.
Not everyone liked culture at Zappos.
Yes, I wrote a control system modeling, simulation, and tuning optimization package for a previous employer that used sympy. Sympy allowed it to do symbolic modeling in parallel with numerical simulation; you could pick any two nodes in an arbitrary system and get the symbolic transfer function from one to the other, and generate Bode plots and such. For nonlinear systems it could linearize about some operating point, and for tuning, sympy helped derive an objective function to pass to the optimization routine.

Sympy was a little slow sometimes but very powerful and pretty easy to work with.

We're considering open sourcing that project now; I just need to find time to support it.
I mean, I do use a lot of C code and the things which break are external C level dependencies. You can blame Python for those but it won’t help fix them.
It treats people like responsible adults, not like children to be told what to do and disciplined if they don't.
But the checks have long stopped yet the economy has not collapsed. THE S&P 500 made new highs. Corporate earnings are still very strong. Although unemployment is higher than usual, the economy is far from collapse or recession. The 3 quarter GDP up 33% and forecasts for q4 and 2021 remain strong in spite of checks stopping. This narrative that the economy hinges on stimulus checks is part of the media and political spin.
I detest Slack and their push for chat ops. Good riddance. Nothing wrong with IRC.
You're totally right, and I didn't mean to knock it -- they are very different beasts, and the mPOS flappy bird is insanely impressive (it's hardly open hardware!).

I see your 11 byte implementation, and raise you my 6!

flpy()
>Those need to be tackled too before I would consider protein folding 'solved'

Semantics. From a systemtheoretical point of view, dynamic folding is an abstraction of static folding; solve (i.e. understand the underlying mechanisms) static folding and you can start progressing on dynamic folding, building up on your previously achieved solution.

Wether it's solved or not depends on wether you mean `general folding` or the `entire spectrum of folding` when considering the problem.