skysight-inc/HackerNews huggingface dataset:
>the estimated 62,000 dead bodies from the current flu season

Source?
It seems. It looks like very few HN posters compares actual source code or even open GitHub (C# / C++).
If you're into that, check out Adam Neely's channel. There's been a few videos on that and related topics: https://youtu.be/6c_LeIXrzAk

(Spoiler: lots of historical context about tuning systems, but also raising the issue of timbre of specific instruments)
32GB RAM is nowhere near what's necessary. It can barely fit the GPT-2 models on there with a batch size in the single digits. We'll need extensive model parallelism libraries (Zero2 from Microsoft) to run this at all.
Looks like Obsidian.md

Currently, I use a lot of Notion. Easy to share and collaborate.
Show HN: Gradihunt
Thanks, I don’t think that comment had been posted when I asked my question.
Hum, also a YouTube premium subscriber. I think I see the demonization issue as somewhat separate. It's the result of negative news driving advertisers to fear their ads will be places adjacent to content they disagree with leading to negative publicity right? YouTube's options seemed to be either create tools for ad buyers to better manage the political palatability of the content their ads were placed next to or have the big spenders abandon them.

Regardless I wasn't comment on the morality of what big tech companies were doing only the legality. Nothing in https://www.law.cornell.edu/uscode/text/47/230 suggests to me that the protections are in anyway contingent on not removing certain content and certainty nothing suggests its contingent on not publishing content yourself in different contexts.
According to the Linus Pauling Institute, Vitamin K2 is found most plentifully in certain non-animal fermented foods, cheeses (no mention of them having to be 'raw'), and animal liver, rather than animal fat in general.

https://lpi.oregonstate.edu/mic/vitamins/vitamin-K

It seems animal (and human) fat doesn't store much Vitamin K which is why a steady dietary supply is necessary.

Also did ancient societies have higher average lifespans than today? I don't quite understand claims ancient people were healthier.. Of course modern lifestyles have severe inadequacies, but it's complex, and for example many Japanese have quite long life spans despite eating a lot of rice.
I don’t think recompiling for template changes is as unreasonable as you depict. It’s a standard technique in various languages, though I acknowledge that they’re mostly not languages that compile to native code, but rather an IL (e.g. ASP.NET with Razor) where the compilation time is somewhat lower.

For a language like Rust, compilation times and tooling support mean that the technique is perhaps not ready for prime time, but it’s fundamentally a perfectly sound technique, and can produce wondrous developer ergonomics (again I cite Razor).

There’s something quite incongruous about using dynamically-typed and basically uncheckable template language when you’re doing the rest of the code in Rust.
Netty is network IO framework and is almost never used as is to develop web applications. You usually plug it in your framework or http library which abstract over it (or Jetty, or Apache, or Undertow, or ...).

Look at Composite Scores in Techempower benchmarks. Jooby, Micronaut, Ktor, Dropwizard, Http4k.. are all nice to work with and are all pluggable with different network IO frameworks like Netty for example. And they are not barebones http layers only optimised for speed, they come with a bit of batteries included but not that much that you battle the framework. They are less magic and more composable with other libraries where you can more easily know what is happening. Similar to Express and Flask. But even a heavyweight Spring framework is at the top. Flask is stuck at the bottom. Even express has bad results.

And, this is a personal preference, but having built production apps in both dynamically typed and statically typed languages, I prefer the latter for various reasons. Using Kotlin to write backend apps is really enjoyable for me.
South Africa does have it's own music scene, particular house music which is HUGE here, and Gqom which is becoming big globally.
Glanced through the Drogon documentation, and it seems about as simple as a C++ web framework can be.

Greenlighting on the other hand would definitely be confusing for your average java developer.
You have to write code very differently, if your goal is to not create any garbage.
The style will be familiar to the HFT folk, but it's interesting to see some of those same approaches used for http services.
What Is a Web Crawler and How Does It Work?
> What happens when every spam comment seems to understand the OP, even when the OP’s true audience is negligible?

My hope is the next step will be filtering by insightfulness/usability of a comment and then those best bots bought and used by next stack overflow: https://xkcd.com/810/
Timelines of Covid-19 vaccines development
Yeah its kind of odd why OpenAI makes these weird titles.

"Few-Shot Learning with a Large-Scale Language Model" makes more sense.

Even with their robot hand paper, they titled it along the lines of "we solved a rubrix cube" not "a robot hand manipulated the cube and solved it"
From a VC's point of view, for early startups, only pre-chasm matters. If many don't cross, well, it's a numbers game.
I use Sublime to edit text files and auto-sync to GitHub using my in-house go app (https://github.com/tanin47/git-notes).

The text files contain both notes and to-dos.

I like that this setting feels that my notes will live forever.
I wouldn't be as uncharitable about popular music as you are. Like you, I don't enjoy much of it, but you can't deny that most of it is extremely catchy and fun to listen to. Especially in group settings, like parties or clubs.

That said, the amount of actually good music being made in the world right now is unprecedented if you're willing to look a little. No matter what genre you're into, one look at the Bandcamp homepage will reveal something that catches your attention. Then you have music blogs like Pitchfork, YouTube music reviewers, niche (and not so niche) subreddits, RYM, and Spotify's own discovery algorithms.

Most weeks I have far too much good music to listen to, and it's very hard to decide what to put on. If anything, I want an algorithm that can help me pick one out of 10 good albums.

It's so cheap to learn, make, and distribute music these days that there's something for you out there no matter what your tastes. This is truly a golden age.
Slightly concerning that a few of their Netty benchmarks show high error counts. Usually meaning it could not handle the load, and behaved odd.
Interesting took me a bit to get what you were trying to say but of course it makes sense. Basically, 99% of people are listening to “anything besides ROCKSTAR”, it’s just that that “anything else” doesn’t overlap with too many others “anything else”
But as a VERY publicly watched lab, they have a serious duty

I was nodding right along with you, and then...

OpenAI has no duty. It doesn't matter if they're publicly watched. What matters is whether the field of AI can be advanced, for some definition of "advanced" equal to "the world cares about it."

It's important to let startups keep their spirit. Yeah, OpenAI is one of the big ones. DeepMind, Facebook AI, OpenAI. But it feels crucial not to reason from the standpoint of "they have achieved success, so due to this success, we need to carefully keep an eye on them."

Such mindsets are quite effective in causing teams to slow down and second-guess themselves. Maybe it's not professional enough, they reason. Or perhaps we're not clear enough. Maybe our results aren't up to "OpenAI standards."

As to your specific point, yes, I agree in general that it's probably good to be precise. And perhaps "Language Models Are Few-Shot Learners" is less precise than "Maybe Language Models Are Few-Shot Learners."

But let's be real for a moment: this is GPT-3. GPT-2 is world-famous. It's ~zero percent surprising that GPT-3 is "something big." So, sure, they're few-shot learners.

In time, we'll either discover that language models are in fact few shot learners, or we'll discover that they're not. And that'll be the end of it. In the meantime, we can read and decide for ourselves what to think.
vis looks really interesting. It looks like it has a lot of potential, and fixes a lot of my gripes with vim (like non-posix regexes), but both the core application and the ecosystem don't seem very mature yet. I'll definitely give it a try, and maybe contribute but I'm doubtful I'll be able to use it as my main editor.
I don't have the skills to pull it off completely, or maintain it, but I've often toyed with the idea of a language/DSL that superficially looks and behaves like Python, but transpires down into Rust or something.

Mostly just to see what a language that 'feels like' Python would be like with the addition of things like proper Option/Result's and a couple of other features (stronger typing?).
Why Facebook Censored an Anti-Trump Ad
I never tried SnapKit, but what's your take on ConstraintLayout and the Design view in Android Studio?

See also the new features in Android Studio 4: https://android-developers.googleblog.com/2020/05/android-st...
As for the energy requirements and the associated CO2 output with all that production and recycling... burn baby burn. Or should that be "burn mother Earth burn"?

Covid-19 has made me forget that IMO we have about 20 years of comfortable life on this planet. Yeah yeah the human race will go on, but you and I will probably die of heat exhaustion some time in 204x...
Ex Nuclear Plant Reactor Control / Monitoring System
While I agree with your criticism of “cheating” and unnatural tricks that you are not likely to use in production (but it's more a fundamental criticism about this kind of benchmark games than a specific criticism of Actix), I don't really share you view on Askama: unless your templates change a lot (i.e. during initial development) or if you need to be able to change then dynamically in production without downtime, compiled templates like Askama are IMHO the way to go when going to production. You can and should use a interpreted one during initial development, and then switch when you're ready to go live.

An actix-web + Askama user.
From Google's point of view, C and C++ should only be used for writing native methods, not full blown applications.

Naturally via this mechanism you can also write portable business code that is exposed via Java bindings library.

Or you invert the logic, and the application is written as a library, with Java/Kotlin just doing the OS connection points and having the NDK logic somehow driving application.

Vulkan and real time audio are also only available via the NDK, to use them from Java/Kotlin you need to write your own bindings.
> The responsibility to provide customer support is the same, but the judgement for failing to provide the support is different depending on the excuse for not providing it.

No, this is incoherent. If the judgment for your failure to provide support is "that's understandable; we could hardly expect you to do any better" -- that is the same thing as you not having a responsibility to provide support.
Open letter to the authors of the hydroxycloroquine study published in Lancet
I get so frustrated marketing like this. I've put weeks of my life into FOSS projects just to post them on reddit and have them immediately deleted because "self promotion".

If I can't post my FOSS to the linux subreddit then what in the world am I allowed to post?
I believe the title of the documentary in question is If a Tree Falls: A Story of the Earth Liberation Front.
For a specific example of how I think their framing is unhelpful: in the LAMBADA evaluation (sec. 3.1), they suggest that one-shot performance is low "perhaps...because all models still require several examples to recognize the pattern." This may be the first thing you'd think of for a few-shot learner, but then why is zero-shot performance higher than one-shot? If you remember that you're working with a language model, there's another possible explanation: the model probably models the last paragraph is a narrative continuation of the previous ones, and gets confused by the incongruity or distractors. (The biggest model is able to catch on to the incongruity, but only when it's seen it before, i.e., with >1 example.) Of course, this is just one possible explanation, and it's arguable, but the point is I think it's more useful to think of this as a language model being used for few-shot learning, not a few-shot learner where language modeling is an implementation detail.
It depends.
I don't want to speak to my manager to often, I prefer to do my work without distractions.

And I must say I'm loving this whole pandemic forced WFH on everyone - it means all of us are on the same level, no more speaking with managers/directors over a cigarette or at lunch/coffee. A great equalizer of opportunities and pure work :)
Ask HN: What book/s have you read more than once?
Nothing has ever rung truer for me than this comment. I've battled against this almost my entire life. Now that I'm working from home I still keep a basic schedule that involves waking up in the morning and not totally drifting. But having the slack to drift around a little has massively improved my quality of life.

I had no idea this was common for programmers. Is there any evidence to back up your claim, other than our two points of anecdata?
Doriella Du Fontaine
Passage: Saint Jean de Br´ebeuf was a French Jesuit missionary who travelled to New France in 1625. There he worked primarily with the Huron for the rest of his life, except for a few years in France from 1629 to 1633. He learned their language and culture, writing extensively about each to aid other missionaries. In 1649, Br´ebeuf and another missionary were captured when an Iroquois raid took over a Huron village . Together with Huron captives, the missionaries were ritually tortured and killed on March 16, 1649. Br´ebeuf was beatified in 1925 and among eight Jesuit missionaries canonized as saints in the Roman Catholic Church in 1930.

Question:
How many years did Saint Jean de Br´ebeuf stay in New France before he went back to France for a few years?

Answer:
4

Explanation:
The model used the arithmetic expression - 1629 + 1633 = 4.

NAQANet (trained on DROP) - came out in 2019 is able to do reasoning, you have to click result twice. First once it thinks it got it from passage, second attempt it tries to do arithmetic.

https://demo.allennlp.org/reading-comprehension/MjEzMjE1Ng==
Maybe with the latest Qt release it has gotten better, as they have improved the JNI bindings support.

When I tried it about 5 years ago, I ended up dropping Qt and doing Java/C++, because the effort to call Java from Qt wasn't worthwhile.
Gotta do things that don't scale, chief. Granted, instead of just making some generic Show HN and posting to reddit, it could be a worthwhile to privately PM users who comment and seem quite interested.

You could also just go to some old posts (HN or reddit) that are relevant to your product and reach out to anyone who seems ideal customer.

It's easier said than done, but hey, now you (hopefully) have some initial users, all for $0.
Maybe auto-tune is like guitar distortion and we never get over it.
> Raw carrots

Have you tried slathering them in an unhealthy amount of peanut butter (+extra salt, sans palm oil)? It's basically food crack on par with roasted Brussels sprouts. Heck, skip roasting the Brussels and serve those raw with peanut butter, too!
Kill competition? Boost Facebook stock price?
GPT-3/175B model required 3.14E23 flops of compute for training. Even at theoretical 28 TFLOPS for V100 and lowest reserved Azure pricing, this will take 355 GPU-years and cost $3.6M for a single training run!
The node_modules folder with its tenths of thousands of files is killing my ssd!

as it is present in every node project I have, and consumes a gigantic number of io operations.

Thus I’m very glad that deno didn’t continue this tradition.
My wild assumption is that bot farms need to look like regular users, and therefore keep clicking on things even when they're off the clock. If Facebook has caught up on click farms that click on links but do nothing afterwards, I would assume that filling in some random data goes a long way to make bots harder to spot once your actual clients show up.
The holy grail of package management is absence of packages and versions, but distribution via signature-addressable code.

In the end it’s all just functions that take arguments and return values. They should be the minimal unit of distribution. Potentially even with precompiled bytecode signed by some trusted compilation provider.
You can use automated testing to verify if your functionality is still there.

If that's too much work you can just deploy to a subset of your users (after npm audit) and let the error monitoring system tell you about the new exceptions.
What is your current setup?

I quite happily and successfully used MPTW to manage work knowledge, tasks, and context for 2 years. Between leaving the related job and the odious save workarounds for pre-TW5 wikis, I stopped using it. I've made multiple multi-hour attempts to find a workable TW5 configuration, with both the TW5 legacy plugin and searching for replacement plugins.
I don’t know. Would be a pretty shallow threat if not maybe?
Original title: An open letter to Mehra et al and The Lancet

More discussion on this topic:

- Past HN discussion: https://news.ycombinator.com/item?id=23322658

- Debates on the merits and demerits on the statistics used in the paper (and in the one published by the same group in New England Journal of Medicine) are on the stat modeling Columbia blog:

- https://statmodeling.stat.columbia.edu/2020/05/25/hydroxychl...

- https://statmodeling.stat.columbia.edu/2020/05/28/an-open-le...

- https://statmodeling.stat.columbia.edu/2020/05/25/this-contr...
How about recognizing Taiwan?
With things like this, we will need to change how the media work, and how we read news. Every sentence, every factual statement will need to be verified by some kind of chain of trust involving entities with reputation, or be labeled as "fiction/opinion".
Yes I first heard about it through the work of Nathianel Dominy [1] [2]

[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2377015/
[2] https://youtube.com/watch?v=ufNEoLeVplc
Get worse how? apart from the pandemic, what has fundamentally changed in the US that is so bad. The world will go on, and yes maybe the balance is a bit more on the right, but the pendulum swings on. The partisanship is just a way to keep you tuned in to the news, it's a farce, there is not that much difference between democrat and republican.

So the real question is, would you like to pass on this kind of anxiety to your kids, or give up this fatalistic bs, and start filling your days with more quality content.
He's continuing a push from Republicans to reframe section 230 immunity as only applying to "neutral" platforms [1]. The problem is this then gives the government a big stick to control them on relatively subjective grounds.

[1] https://en.wikipedia.org/wiki/Section_230_of_the_Communicati...
Bonding over a meal is an ancient human activity.
Two years ago was one of the worst on record, and still didn't quite hit 62,000 dead, "only" 61,099[0]. Last year was more "normal" with 34,157 deaths[1]. From everything I've read, current CDC estimates for this flu season are between those two numbers, and the 100k and counting COVID-19 deaths are in addition to those.

The flu sucks, but making up numbers doesn't help anybody. Taking the highest-possible value from the range "24,000 – 62,000"[2] at the end of the flu season is not a good comparison to the at-least 100,000 COVID-19 deaths nowhere near the end of "COVID-19 season."

[0] https://www.cdc.gov/flu/about/burden/2017-2018.htm

[1] https://www.cdc.gov/flu/about/burden/2018-2019.html

[2] https://www.cdc.gov/flu/about/burden/preliminary-in-season-e...
You can't just hook up any lipo charger. They need to be able to charge and balance the cells individually, which could be simple or extremely difficult depending on the arrangement and connector.
Loss for the US as Australia will welcome them.
Most industrial diets rather, but for traditional agricultural diets, complex carbohydrates are 70-80 percent of the diet.
That photo seems to come from this article, where there are 20 more similar pictures. Unbelievable: https://www.theatlantic.com/photo/2018/03/bike-share-oversup...
PPC in 1996 was not "barely a thing". IBM could win over Apple, and later Sony for the "Cell" CPU on PS/3, and Motorola sold to automobile and other embedded apps in quantities. It's just that sometime around 2005-2010 or so the investment into new competitive fabs became so astronomically high that it just wasn't good business anymore for CPUs produced in quantities below x86 and ARM.
Cool page!

As of the top songs, I checked the top songs of Japan, Sweden and English speaking countries. And I see a funny pattern: Both English speaking and Sweden have black/ghetto song as top song, while Japan top song sounds like something I would hear while walking in a shop in Shibuya. (J-Pop for youngsters)

I've had Spotify since closed beta, and in Sweden it was "the cheap option for young folks" (instead of just pirating it), and I assume it was marketed the same in the English countries (since I got my closed beta ticket through a UK site, using VPN)

Now, Spotify is not that popular yet in Japan. It's quite new here but the marketing is heavily focused on young people, meaning places such as Shibuya and Harajuku are filled with ads and commercial for it. Hell, the Japanese commercial about Spotify on spotify is about a young couple trying to have sex and the mood being ruined by surrounding noise (mom downstairs).
libressl does not have a different license
The Multiples Design Thinking – Why there is no true “design thinking”
There are some very prominent politicians whose primary mode of speech is the same
I have similar feelings. Human-written text in general has one coherent flow of ideas.

So what if we used text generation algorithms on a paragraph basis, so that the idea flow is still figured out by a human (input would be just an outline)? That should make the generated text feel like a whole, especially if we could preserve the style its written across the whole text.
Walmart says its thousands of tech employees will continue remote work
Like it or not, people use github for self-promotion.

It's not at all unusual for recruiters to ask about your github profile. The code repositories are the resume. The personal README is the cover letter.
The fluorescents are 3360 lumens. For example:

https://www.amazon.com/Replacement-Daylight-Ballast-Equivale...
There is also a problem with thinking that everyone that isn't you is an enemy.
Mind pinging me internally? Username in profile.

I have... an idea.
Have you tried column based databases such as Cassandra, HPE vertica, or Clickhouse?

Have you tried a "big data" approach like Apache Spark on parquet files?

Did you consider saving less data? Do you really need to save that much data? Can't you sample the data and save a lot less while keeping the same information overall ?
Oftentimes the VC cash is needed to actually cross the chasm. One of the difference between early and mainstream adopter populations is that a lot more product polish, and oftentimes explicit sales or advertising outreach, is needed to please the mainstream audience. That all costs money.

I wouldn't say that only pre-chasm matters, though. VCs usually refuse to invest in startups that have zero chance of crossing the chasm. The prototypical example of this is say an app for D&D players. You could have the most passionate userbase, and the app could be critical to their experience, but your total addressable market maxes out at the 13.7M D&D players worldwide and it's unlikely they'd spend more than say $10 each on it, which makes it unattractive to all but the smallest VC firms.
Who Framed Roger Rabbit: An Oral History