skysight-inc/HackerNews huggingface dataset:
Facebook is the 6th most popular website on the planet (behind Google, Youtube, and 3 Chinese sites). That puts them in a position of control over a great deal of the world's information diet. If they say something is false or true, many people will believe it. If they censor something, many people will never see it.
Any recent intel cpu 8th gen and you with quicksync is going to be your best bet. An i5-8600 can do 15-20 transcodes on its own using the quick sync part of the CPU.
I haven't use hooks and don't prefer it, however I must say that there isn't alternative to hooks that is shorter in syntax, and maybe easier.
How Artificial Intelligence Is Redefining Online and Direct Mail Marketing
I agree with this for the most part.

I've thought about knowledge management a lot over the last 20 years, since I built a Wiki/bug tracker system (this was before anything except Bugzilla existed).

I think knowledge management systems can work if the "management" side is a side effect of their use.
It’s possible, but you’d be better off spending the $50 on a true GPU in almost all situations and using it in lieu of the onboard graphics. Just from a lifespan perspective on the CPU, better to offload that work and not pin the CPU for hours while you’re watching movies :)
Let me kick off the discussion by sharing the Twitter thread I had with the author: https://twitter.com/shahdeys/status/1285545733425442819

Edit: fixed spelling and grammar
Giggl: How you can get paid to create memes
I doubt they are short on inspiration for further improvements. A big part of the speed advantage of ifort is the aggressive loop unrolling, pipelining, splitting and multiversioning.

Coming up with these transformations is not the difficult part. That would be actually implementing these transformations correctly and keep the whole compiler optimization framework maintainable.

And of course there is certainly a cost for the improved runtime. Primarily in compile time and code size. For the Intel compiler it generally makes sense to sacrifice these in favor of runtime performance, because it is used on these kind of scientific codes a lot, but for gfortran the balance might different.
Plex has puzzled me for a while - why such limited hardware support for HW transcoding? Is this some sort of paid partnership they have with Intel/nVidia?
https://readthedocs.org/
Thinking about all possible failures seems daunting though. It reminds me of the Anna Karenina principle:

"All happy families are alike; each unhappy family is unhappy in its own way."

What does this say about the tractability of enumerating possible failures? :P
Here are a few books that I found useful:

* What to Expect the First Year - It was pretty logical and scientific but don't think everything in it has references.

* Behave: The Biology of Humans at Our Best and Worst - Not really a book about babies but I got interested in human behaviour and this book helped me understand a lot of things that babies and adults do.

* The Happiest Toddler on the Block - Again I thought it was very scientific, good ideas on discipline. I think it introduced idea of using emotions to communicate with toddlers instead of logic. I still find myself using logical arguments with my 2.5 years old, hard habit to break.

* Brain Rules for Baby - Really enjoyed it. All suggestions in it seems to be backed by research. The main idea in this book is that one should provide their kids a happy, relaxed home. Stress and anxiety at young age can stun kids' brain development.
On a basic level, yes, but I often just use it as a starting point for more complex gnuplot graphs, or different kinds of visualizations - box plots, histograms, etc.
I'm studying in the intersection of physics and data science, and I think there's a number of places where physics can benefit from ML. From my current point of view though, most of these applications lie more on the experimental/computational sides of physics rather than the theoretical side. One of the current use cases is using ML to aid in the processing and analysis of data obtained from experiments.

I would like to see more truly innovative work done on the theoretical side, but I don't think we'll see "AI" bridge the gap between QFT and GR any time soon. I think in order for something like that to happen we need a new approach, as the current approach of throwing deep learning models at it doesn't feel like the right answer.

On a more general note, the SciML organization [1] has been quite successful in helping incorporating more ML into science.

[1] https://sciml.ai/
I'm one of the founders behind Founderpool. This is one of 10 or 12 best ideas our team has come up with ;)
Good. Glad to hear that you're happy.
Moment.js is a library, you can use in any part of your app and it doesn't define how your application is going to work. You are in charge of the flow of the application. React pretty much defines how your application is going to work from the beginning. It can call itself a "library" but by any practical means, it isn't.
> it is quite difficult for the human mind to vacillate between one strong opinion to another.

For the specific subset of people in tech, I don't believe this is true. How many times have you and someone else had a strong disagreement about the cause of a bug or design of a system, conclusively determined that one answer is correct, and then had the other person come back (usually after a small delay) acting as though they'd agreed with you all along? I've been seeing this for over thirty years. Half the time, the other person even tries to claim they came up with the idea on their own and everyone else was slow to pick it up. Same thing is frequently evident right here. It's easy for some people to switch from one strong opinion to another, and the popularity of "strong opinions weakly held" makes it even easier.

I also think that SOWH is behind a lot of cargo culting and conspiracy theories. People want to get credit for being the champion of an idea, even if they don't fully understand it or it has low odds of being correct, and the appeal increases with the challenge of convincing others. After all, if they're wrong they can just switch sides and claim they'd been on the right side all along. If they're right, it's an epic victory (in their own minds at least).

Strength of belief is not inherently virtuous. It should be proportional to strength of evidence, not armor worn for the sake of a silly maxim. Strong belief in SOWH itself is an example of faith over empiricism.
Comments here are predictably (and depressingly) misstating this research as "medicalizing normal emotions." This is due to two widespread misconceptions:

1) A refusal to distinguish between mental illness and permanent psychological disability (along with the idea that all mental illnesses are neurostructural in nature)

2) A refusal to acknowledge that "biologically normal" human emotions can nevertheless be a cause for medical concern, in the sense that a high fever is a "normal" and necessary response to infection that can nevertheless cause serious problems.

If someone is deeply depressed after their mother dies, they should be considered as having a mental injury that should heal on its own but needs to be monitored for "infection" or otherwise problematic healing. Saying ahead of time "this person isn't mentally ill so this is just normal bereavement" is bad medicine and bad science.

US society in particular (but also humans in general) really wants to draw a distinction between "the mentally ill" and "the mentally well." If you were to try to draw a similarly strong distinction between "people with stomach problems" and "people without stomach problems" the absurdity would be self-evident: there is no reason to lump people with norovirus in with people with IBD. But because mental illness is so much more mysterious (and, frankly, scary), and so entwined with social and societal expectations and norms, it is much harder to approach it from the same medical-first perspective.
I am sure that most if not all of the countries are in the WTO and have a framework for trading. Another inconvenient truth is that not everyone will agree with you.
This site claims to create American-style cities, but includes images with radial circles that extend about seven blocks, which is not at all something most people associate with American cities, but do associate with, say, Spain.

https://maps.probabletrain.com/images/heightmap/map(66).png

The urban density in these images is also more commonly found in Europe than America.

Which is fine! It's a generator for European-style cities, and it's neat! But so far, only low-density western desert cities have anything like 7-ringed wedges like this, and I suspect that most people, like me, didn't know those existed there before this thread.
Govt payroll system began as $5.7M contract with IBM will cost $2.6B (2019)
I notice that all the litter I see on the ground when fishing/hiking is the kind of garbage food that you can buy as gas stations.
Typed language with extremely fast compile times suitable for use by neural nets.
Android Basics in Kotlin: Google's New Beginner Course
69% of people from the US use Facebook. In Europe, it's a little over 80%. Saying that "most humans" don't use it seems pointless at best, disingenuous at worst. If this platform becomes an arbiter of truth, it's clearly a massive problem across many huge portions of the globe.
Such as?

It's actually a common misconception: that companies publish code because GPL forces them to. In practice, it works the other way around: first you make the decision whether to publish the code or not, only then you choose software with appropriate license.
Well-found! I had no idea those existed, but they do seem to fit the radial nature of the procedural designs.

Of course, they're much, much, much less dense than the designs, but the generator is still neat. Just not very "American-style" IMO.
Humanizing the story via insulting/encouraging ageism toward a former MIT Chancellor (Grimson), and/or another well-known MIT Prof (Guttag) who is an expert in diverse CS sub-fields and has collaborated with the likes of Barbara Liskov? Given how long they’ve both been teaching and doing research, and how much cross-pollination there is between Harvard and MIT, it’s very likely both of them were influences on Malan himself.

FWIW, my wife also found Prof. Grimson to be “too monotone” and asked me “how do you stay awake during those lectures?” but without bringing age into it.

Side rant: I am the child of baby boomers, and I think their generation had it much easier than we do. I also get infuriated with the callousness and lack of empathy exhibited by many people from the Boomer generation. But rude retorts like “OK Boomer”, aside from being disrespectful, only encourage further callousness and lack of empathy.
There's a ML group at Fermilab just outside Chicago working on ML applications in high energy physics and astrophysics.

https://computing.fnal.gov/machine-learning/

One of the "AI" applications I remember seeing -- potentially applicable outside physics -- involved using CNNs to read a 2D graph (as in graphical plot, not G = (V,E)) in order to visually detect certain patterns/aberration. (probably many physics groups around the world are doing the same)

At first glance this sounds kind of silly and trivial -- one might say, why not just detect those patterns from the data arrays directly? Instead of from a bitmap image of a plot of the data?

Unfortunately some patterns are contextual. A trained human eye can detect them easily, while writing a foolproof mathematical algorithm is difficult: e.g. it has to pick out the pattern, apply a bunch of exclusion rules etc.

(One instance of this, for example, is an old mechanic telling you what's going on under the hood just from listening the vibrations of a car, while a traditional DSP algorithm might not be able to do it as reliably because it hasn't seen all the patterns and contexts in which those sounds arise.)

This is a domain where neural networks/transfer learning really shines. It can capture "intuition" by learning the surrounding context, rather than relying on handcrafted features.

So Fermilab has an AI algorithm that looks at millions of graphs via a CNN, which replicates the work of thousands of human physicists looking for patterns. We've already seen examples of this in radiology.
Scrum’s Nature: It Is a Tool; It Is Not About Love or Hate
Indeed, cardinality limit is a very painful aspect which blocked us since day one for certain metrics. I confess, at the time I didn't know any better. Now I wouldn't recommend it under any circumstances.
Yeah sounds familiar. I feel it's related to stress and to not taking time to stop thinking or make myself stop thinking (and indeed do sports or play with the kids, while first clearing my head).

I have had moments where I felt I was almost loosing it because I was just constantly thinking about some (in hindsight minor) issue. And I then start to meditate just to stop the thinking. I don't know if that helps or if there is a natural cadence to it but I do get better after doing that for some days usually (10-15 min here and there, I used the free tier of HeadSpace during 1 period as well). I should just also meditate regularly to see if my general mood improves. From everything I read, it should.

I am about to go camping, that will help, although I'm already getting pissed (and finding nice ways to express said emotion) at that fictitious family with the bluetooth speaker on all day in the spot next to me. What a waste of thought. Just stop brain.
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We are all essentially evil because
1) tomorrow will find some behavior that is accepted today as bad and we are all doing it
2) creating an AI that can manipulate people is too tempting for the predator in us to avoid (this is a REAL turing test - making an AI that can make tools out of humans and everything else.)

The only way to stay ahead of the 'evil' corrupting influence of new tech is to prevent it from widespread use controlled by a single entity. So, yolo is ok as long as you cannot deploy it in a cloud at scale.

So, just as nuclear weapons (the massive concentration of energy release at tremendously fast rates) are bad, so is a super AI/AGI (the massive computational ability at nanosecond scale).

No evil was ever perpetrated by institutions of learning - only business entities and governments who scaled up those discoveries caused evil.

And now for the flame bait-
So, by this argument we should elect Luddites to govern us , especially ones that are not imaginative or creative.
These are down-binned laptop parts, and the OEM's are also laptop manufacturers, so this strategy gives both AMD and the OEM's more flexibility in selecting product mix.
For one thing you may not use the ref attribute on function components because they don’t have instances. That means the component can't have a .focus() method for example.

For simple components hooks may be fine. For more complex ones I prefer classes.
Example would be intelligent acquirer routing based off historical information and that individual transaction. Most of what is done in the industry usually refers to this as bin routing.

This is much more known now but not as known 6-10 years ago and guess who was very aggressive at maximizing this before I saw Stripe make a solid effort at this...

They've also got some of the highest quality transaction volume, who is doing a chargeback on Netflix? Nobody. Lot of possibilities down the road when you have access to this kind of volume.
The Era of Unlimited Everything: Unlimited Materials and Unlimited Money
One interesting facets of the hype cycle is that it never focuses on what IS being done, because it's boring. Plus, tech improvements like this tend to be pretty operational in nature, so you wouldn't notice it without looking.

Nonetheless, "AI" applications are pervasive:

Auto - improved robotics, adaptive cruise control
Finance - High Frequency Trading, Credit Risk Modeling (i.e. your Credit Score)
Health Care - Health insurance risk estimation, Predictive staffing
Government - Predictive policing, recidivism risk, benefits decisions
Retail - improved customer targeting, inventory management
etc etc etc - name an industry, I'll give you 3 examples.

The issue isn't that it's not there; the issue is that it's BORING. And nobody gives a press release saying "we saved 0.4% of COGS from improved inventory demand forecasts," even if that represents $10M, because nobody cares.

But boring doesn't mean it's not a bazillion dollar opportunity for a lot of companies.
A, unless you package and distribute the code of wiki.js in some way with the application - but it sounds like you are talking about a hosted only solution so that won't be an issue.

If you allow self-hosting of your proprietary code by your users and the refers to your documentation server than this would still not trigger AGPL for the other code - you are not distributing wiki.js or parts of it. If you allow self hosting of the other code and include wiki.js for a local copy of your documentation then APGL might trigger.

Linking is meaning software linking, not referencing your own content displayed by the software. Think of it as the same difference between including using chunks of a paper in your own paper, or saying "as discussed in This Paper About This Thing (Him, Her, et. al, 2013)...". Or, as in this case the content is your's, referencing your own paper.

This potential confusion with the word "linking" (as natural languages are fairly dynamic beasts) is why people are sometimes overly fearful of AGPL and GPL (and often even LGPL) software.
The difficult thing is to change opinion to which you attached your identity.

Switching Python to eg. Node is easy as long as I don't see myself as "the Python guy".
The ca is a Lada 1200 (or VAZ 2101 "Zhiguli" in USSR). It's visually almost identical to the Italian Fiat 124, the Soviets bought the design and modified it to be more suitable for the rougher road conditions and weather.

Here's [1] a mish-mash of my favourite pictures from the rally, roughly in chronological order - from prep all the way to the finish. And here's the map of the route we did [2]. Nearly a year after finish, I still haven't finished writing up the whole trip though.

[1] https://photos.app.goo.gl/9dzr7vR3DPssv2J79

[2] https://www.ivankathetanka.com/map.html
I don't know if AMD intended to mock Intel when they named new Athlon Gold and Silver which are on lower end, meanwhile Intel named Xeon Gold & Silver on the higher end.
Show HN: Epic Monday – marketplace for backyard offices
Reminds one of PG's "just don't die and you become rich" advice for startup founders.

FWIW, the best founders I've met within YC or outside of it have this paradoxical quality that takes high optimism about the future of their company and combines it with extreme gritty paranoia about the short-term things that could derail or kill you.
This was from the CTO last week: "This work won't be landing anywhere until sometime next year and it'll be landing in our Cloud 2 offering first." So the OSS is definitely a second-class citizen. And now that they've dropped all DevRel activity, don't expect much attention for OSS Developers and users.
Tell HN: Locked out of Gitlab and lost years of work
I've been a user of Gitlab since 2018 and fell in love with their integrated CI tooling instantly. As a company I appreciated their openness and remote oriented culture. I've recommended them heavily to friends.

Which leaves me in an awkward spot as I've now been locked out of my account for over 5 days due to a security snafu (tied to https://forum.gitlab.com/t/account-has-been-blocked/39995 ). Gitlab wanted me to reconfirm my email, which is fine. Unfortunately they asked me to do this via a single email, and as any user of Gitlab knows, I get a mess of email from them on the regular (CI notifications) and it's easy to miss one. Which had led to my account getting locked.

Which would be fine except that the email confirmation system is broken.

I was able to request a confirmation email, and confirmed my email. I even have a screenshot saying my email has been confirmed (...again). Yet I can't log in and get the error "This email must be confirmed before you can login.". Attempts to resend a confirmation email are no longer possible - I get asked to log in.

Support has not been helpful. It's been days of back and forth and despite me linking the issue, sharing screenshots and so on, all I've gotten is "have you tried incognito mode?".

I am pulling my hair out. I don't know what else to do at this point except restore my backups to a gitea instance and move webhosts. All of my open source work on Gitlab will end up becoming zombie projects - I can try to let users know I've had to shift somewhere else but that's not an ideal solution.

What else should I be doing? What else can I do?
How Will the H-1B Ban Impact Technologists' Plans?
It was hyperbole. A point, based on or illustrated by a falsehood, is no point.
Also wanted to get into creating a local 'wiki' or knowledge base. Sadly I didn't hit the sweet spot till now. My requirements are:

- future proof (at least not only a one man project)
- Fast search over all informations
- Fast creation of quick notes (inbox)
- Mobile iOS client

Currently I am stuck with Notion, which has a great 'database' concept. Which is fun to use. Sadly it's too slow. If I want to take a quick note on the go "Google for M6x40 Screws" I need 10-20 seconds with Notion.

I don't even mind paying for such service...
Definitely recommend. I recently bought a book on Amazon on distributed systems[0] which talked about fault tolerance without even a cursory mention of Joe Armstrong's work. I've returned the book, but I wish I could have browsed the bibliography before buying.

[0]: https://www.amazon.com/dp/1543057381
yes seems also wrong to me. not sure what linter would complain here, that would depend a little bit what fetchData & updateBreadcrumbs really use and do.

a much bigger problem with code like this is the fetching of data gets much more complicated when the second parameter of useEffect is not just an empty array
You dont "force your site to pay these costs", you design your clients as consumers from day one and get consumable external APIs for free.
I feel like they'll wait until Ryzen 4th gen comes out since that will be on new silicon (tho still 7nm), leaving a bit of room for extra production of their APUs for DIY since this is still Zen 2 chips just with the 4000 naming.
Author here. I'll probably write another tutorial focusing on Prometheus, instead of CollectD.

Thanks for suggestion

SerHack
Kinda disagree. Though I usually use it as a full page form, it's easy to use it as single component and use it via javascript natively.

Let's say that if I want my own version of select2, I can develop it with react, though not easy.
Let us be honest here. The people that have the job to sort out this stuff might also not be the brightest stars in the night sky. If I had vested interests where manipulation of social media nets me advantages, I would be very content with the situation.
You might be interested in the OpenComputers mod
I did, and liked it.

https://rant.gulbrandsen.priv.no/jelly

I use a Sony XZ1C now, though. The battery lifetime of the Jelly was a problem when I was travelling, and at 52 years I need a bit larger fonts. I wonder whether to get this one, though... Unihertz rocks, the phone supports the android upgrade stuff (DSU), the battery might just be big enough for me, AND: I loved the way the Jelly just wasn't a timewaste magnet. It let me run apps, very functional.