skysight-inc/HackerNews huggingface dataset:
Ask HN: What's the most informal way of splitting equity with pre-llc clients?
I'm in the process of launching a small SaaS dev agency with a friend (done this semi-successfully in the 2000s, much different landscape today though), and I am interested in pursuing the idea of taking an equity split with clients who can't afford development, but we believe they'll be good at selling their idea given a solid MVP.

Anyway - I know that some of these people won't have an LLC or other organization set up yet, but I might want to work with them if there's a reasonable way of agreeing to a partnership in the event they form an organization, or if they generate any revenue.

Is there any reasonable way of doing this, or does it not make too much sense? I remember pioneer.app doing something like this at one point - where the equity was promised beforehand.
Ask HN: What is the best seating for productivity?
What kind of seating do you find best for studying, programming, or general computer work? I'm not necessarily looking for specific products, but more like features, sitting positions, etc. I know ergonomics is a big field, but I couldn't find much about this particular topic. Personally, I like sitting in a reclined position for long sessions on a laptop. I haven't experimented with one yet, but I've been anxious to try using an over-bed desk/table like you see in hospitals. What do you use? Do you know of any research in this area?
Ask HN: How are bots finding my (brand new) site?
I have just put a site live & I can basically guarantee no back-links point to my site and I, the creator, cannot conjure up any google search to return it at all (it does not appear to be indexed - I have done no SEO whatsoever). It does have DNS records, just no way to find it from a search engine or crawl for links to it.

However, I can tell from the logs that bots are already probing for vulnerabilities.

How on earth do bots even find such a target?
Big Sur is both 10.16 and 11.0
Done that plenty myself, but eventually I figured out that being sedentary that long starts to affect my alertness.

Getting out of the car and getting the blood pumping makes me much more alert for the next hour or two. At first I didn't want to think about that meant about how alert I wasn't for the previous hour. Now it's kind of hard to ignore.
Having talked to a ton of friends about Svelte, Typescript support has always been the biggest push-back for adoption.

Stoked for Svelte to support it.

We've been using Svelte in production and I can't speak highly enough about the developer experience. Absolute game changer for our ssite that use it.
Microsoft is doing its usual fiscal year-end layoffs, but fewer than usual - https://www.zdnet.com/article/microsoft-is-doing-its-usual-f...
> Why does anything have value? Because someone else will pay your for it.

Sure, but there is a reason why dollars will have value in future: the quantity of outstanding dollar-denominated debt and future tax liabilities vastly exceeds the number of dollars in circulation. As people will need to have dollars for future repayments in future, you won't have trouble finding people to execute a trade of dollars you have for things you want. The [central] banking system can also vary the amount of dollars in circulation to link the supply of a currency on a given day to its demand and keep prices in line.

Conversely there's little reason to believe that anybody will need most of the Bitcoin in circulation in future [very little BTC denominated debt, and all other payments or speculative holding can be made with other currencies, crypto or otherwise], and no other stabilising mechanism. So whilst you can say your BTC is worth at least what you paid for it, it really isn't unless you're lucky enough to find someone else to offload it to.
How exactly does site-isolation prevent cross-origin communication that doesn't rely on SharedArrayBuffer, i.e. that vast majority of use-cases? It's just message passing.

I can see that site-isolation is arguably too expensive on mobile and why you might want an opt-in mechanism there, somewhere down the line.

However, I don't think there are good arguments for not just enabling it on Desktop right now, without making developers jump through hoops. Until Chrome enables SharedArrayBuffers on mobile, I have no reason to care anyway.
If its a non-issue, then the license would not include these clauses.

You could argue the exact same way about the exact thing the AGPL was created against: "Let's be real, nobody is going to SWAT you for not telling your SaaS users about software licenses for things you use on your server..." I mean, who'll know, right?
Ludicrous article considering that the Indian Data Protection Act is (well, will be) even more restrictive than GDPR
Isn't the whole point of GPT-3 to have tons of data and hope for the best by training it with a huge amount of time and energy ?
I still think it is easier than defining truth.

In all above cases you could provide the reviewer with an objective yes/no answer. The reviewer does not need a PHD to know if there is a nipple in a picture.

This is not the case for questions of scientific truth, which other requires understand the scientific consensus with complex nuances.
That is easy enough to fix. You don't hit the vending machine when you get to the rest stop. You hit it when you are leaving.

M&Ms are for in the car, kids.
I LOVE hearing stories like yours, and they inspire us everytime.

You hit the nail on the head. The sad fact is that as an entrepreneur grows and matures, his risk tolerance goes down.

Founderpool's mission is to maintain the entrepreneurial risk tolerance as you grow and acquire skills and connections, by reducing the opportunity cost over time. We believe it can have a positive systemic impact on the startup ecosystem.
If you don't want to wait for someone to answer, the short article has answers for all the questions you put forth so far.
One of my favorites, not listed there, is qmidiarp.

http://qmidiarp.sourceforge.net/
Sure, let's just starve your family to death and then laugh about it and see if you only consider it "abhorrent when viewed against the current, moral zeitgeist". It's amazing how people will not only downvote, but flag the posts here that go even a teensy bit against their propped up beliefs. And I thought the hn crowd was supposed to be discerning.
You're right. I think downtime is holding them back.
"(1) the government, with few exceptions, is a TERRIBLE place to build effective tech skills. Slow, heavily outsourced, bureaucratic beyond belief, and low paid, there is very little creativity and variety in which to build unique technology, and no reward for the BS."

Strong claim; links or citations to back it up? (Not necessarily doubting you, but it sounds a bit like a right-wing talking point, and hence I ask)

You're right about pay problems, though. With public sector jobs, you have to do it for the calling, not the bottom-line cash (imho).
I did not mean to imply that the pressure would necessarily be orderly or civil.
Those are value adds for a currency. But the article here is speaking about the core value of a currency. Essentially for an asset to be useful it's value must be backed by something and it must be possible to both defend and deploy that asset in a reasonable way. Bitcoin has not yet made the case that is practically useful for anything other than a volatile store of value.
there is an imbalance of power here ...
These methods are really interesting for high-dimensional PDE (like HJB), but there's a ton of skepticism about the applicability of NN models for solving the more common PDE that arise in physical sciences and engineering.

The tests are rarely equivalent, in that standard PDE technology can move to new domains, boundary conditions, materials, etc., without new training phases. If one needs to solve many nearby problems, there are many established techniques for leveraging that similarity. There is active research on ML to refine these techniques, but it isn't a silver bullet.

Far more exciting, IMO, is to use known methods for representing (reference-frame invariant and entropy-compatible) constitutive relations while training their form from observations of the PDE, and to do so using multiscale modeling in which a fine-scale simulation (e.g., atomistic or grain-resolving for granular/composite media) is used to train/support multiscale constitutive relations. In this approach, the PDEs are still solved by "standard" methods such as finite element or finite volume, and thus can be designed with desired accuracy and exact conservation/compatibility properties and generalize immediately to new domains/boundary conditions, but the trained constitutive models are better able to represent real materials.

A good overview paper on ML in the context of multiscale modeling: https://arxiv.org/pdf/2006.02619.pdf
Do you find lasting an entire Boston-SF flight without getting out of your seat "some form of insanity"? Because that's basically the same sort of situation as the 6 hour nonstop drive (although the car seats are probably more comfortable than airline seats).
It's a CT scan, they did not cut it for that.
Show HN: Ana – A TypeScript DI Library Based on Compiler API (Early WIP)
> Like their truck pull demo where the camera shot they released showed only one angle, leading to speculation that there was a massive power cord tether hidden behind the bulk of the truck.

No, it was just a silly physics trick, same as Tesla's Cybertruck pulling the F-150 stunt (which was just because the cybertruck was heavier & therefore had a friction advantage, had nothing to do with being more powerful or anything like that).

As for the train, weighing 1.25 million pounds doesn't mean it took 1.25 million pounds of force to move it, not at all. Just like it doesn't take you ~150 lbs of force to move yourself forward on a bicycle. Wheels are pretty great, and so is a low rolling resistance. A train's steel wheels on a steel track mean super low rolling resistances, and estimates are the Ford only needed around 1875 pounds of force to move that 1.25 million pound train. https://www.roadandtrack.com/new-cars/a28506476/ford-electri...

That's well within the capacity of a bunch of vehicles, no trickery required.
> A little while after the initial chaos and collapse, they'll be great places for rebuilding jobs, though.

I guess, if you can live with the hundreds of thousands of desperate/jobless/starving/homeless people you'll be seeing every day.

I mean, FFS, you're talking the world economy falling apart, that very likely means 1800's London, quite a terrible place to live in.
I've always wondered how much black market petroleum is state sanctioned. Unofficially, of course.
I think if there is any company that could wow us with upgradeability and repairability, it would be Apple after they decided to innovate in those areas.
Your HTTP cert is invalid. Just a heads up.
"The common good" is something that is easily lost on the vast majority of people in tech, it seems.
I agree with you big-time on this. Many of these guys are concerned about "their legacy" and also philanthropy. Why not create a top university named after themselves that seeks to be at the forefront of technology/medicine/biotech (whatever they choose). Better yet, as some have suggested, why not donate enough to a university to rename it after themselves and take it over, adjust the curriculum to the desired goal, hire the experts in the fields to teach and study, and see results 5-10-15 years down the line.

As a nice bonus, why not turn it into a basketball powerhouse school too, something to help brand the school, like Duke or Stanford. Something MIT is missing.
I agree there are edge cases. Are you saying the nipple issue is harder than moderating politically contested statements of fact regarding the nature of the world we live in?
Why performances shouldn't matter in this case? The more instances, the more timeseries and the more datapoints you have, the more you care for speed when you need to query it to visualize for example WoW changes in, say, memory usage.
>We launched the Supplier Clean Energy
Program in October 2015 to advance
those goals through our manufacturing
supply chain. Since then, we have made
strong progress toward our initial goal
of bringing online 4 gigawatts of new
clean energy by 2020. Building on that
momentum, we recently set a new,
even more ambitious goal: to transition
our entire manufacturing supply chain
to 100 percent renewable electricity
by 2030.

>We’re proud of the progress our suppliers
have made so far. As of June 2020,
71 manufacturing partners in 17 different
countries have committed to 100 percent
renewable energy for Apple production.
And Apple itself has continued to invest
directly in renewable energy projects
to cover a portion of upstream emissions.
The Supplier Clean Energy Program
now has 7.8 gigawatts of clean energy
commitments, of which 2.7 gigawatts was
operational in 2019.

They're funding new renewable energy projects all over the world, including in China [1].

>Secondly, electricity used in facilities is not the whole of their carbon footprint.

It's just the vast majority of their carbon footprint.

>Since 2018, we’ve generated or sourced
100 percent renewable electricity for
all of Apple’s global facilities, driving
our scope 2 emissions from electricity
to zero. And we estimate that in our
manufacturing supply chain, which itself
makes up 75 percent of Apple’s overall
carbon footprint, around 70 percent
of emissions come from electricity.

[1] https://www.apple.com/newsroom/2019/09/apple-launched-china-...
When a school rejects qualified applicants because there are too many, doesn't that indicate a shortage of that kind of school?
One of the 3 computers I work on a daily basis is a Threadripper. It never crossed my mind to look for an Epic CPU just because I have no special needs not met by the TR. For the build I just ordered parts from Amazon and assembled instead of getting a prebuilt configuration.
I'm not surprised, I just think Apple could do more to keep old devices in use if they were really concerned about it. Going 100% carbon neutral on your supply chain is great, but it's even better to just make and dispose of less stuff to begin with.

The economic incentives of selling gadgets less often obviously don't line up with making Apple more money, but neither do all of their other environmental initiatives. Some things they do because it's the right thing to do.

On the phones side I'm holding them to a high standard, knowing they already do a better job keeping phones useful compared to any of their competition. I don't think that's the case for laptops and other devices where there are serviceable alternatives though; I see a lot more old ThinkPads in use than I do old MacBooks. That's probably because an old laptop still gets OS updates, and other manufactures make more repairable laptops than Apple does. Apple's gadgets (laptops and everything else) eventually hit limited software support.
This is a nice overview of early science fiction: https://en.wikipedia.org/wiki/Timeline_of_science_fiction
Having followed the development of one back when I used to listen to LUGRadio: Jokosher hasn’t been updated in over 10 years, yes it’s free and open but doesn’t seem like it’s worth the hassle including in the list.
Despite your belief that it is vacuous, WO is a pretty standard mode of operation for many. It usually manifests as "We just don't know enough. Let's collect more information." or "There's not enough to go on. Let's wait it out." etc.

i.e. unstructured search is more common than hypothesize-falsify despite the latter being established epistemology since early 1900s or before.
Tesla secret project Palladium: new Model S and Model X are coming
Yes the argument is trivial. But it illuminates design choices of each language which is interesting
Owning sports teams was cool last decade, now it's about having your own space company to really separate yourself from the other billionaires
Donut math: how donut.c works [2011]
SpaceX Catches Both Fairing Halves for the First Time [video]
>A name on a university that's mentioned with Duke and MIT...now that's something you can brag about.

That's the rub though, isn't it. I'm not sure even Bezos has money that would be needed to pull that off over, say, a 10 year horizon. MIT has almost a $20 billion endowment to give some idea of the sorts of money flows we're talking about here. To say nothing of the fact that they already have the faculty, physical plant, reputation, etc.
>Plenty of municipalities wanted to do exactly what you describe, since the benefits to their residents are obvious.

No, municipalities were building out their own ISP because of a lack of the federal government drumroll... mandating a 1-wire rule. They were left to try to come up with their own solution and their own funding. I've yet to hear of a single municipality building out last-mile fiber and leasing it back to private ISPs. I'm sure one exists somewhere, but that's not what has been happening.

The ISPs even being allowed to sue municipalities was because of drumroll... the federal government not having regulations requiring a 1-wire policy for last mile, which would've pre-empted any attempted by an ISP to sue to stop it.

You could have literally no law in place around burying fiber in the ground and an ISP like Comcast would sue a city for the simple sake of slowing down build-out and draining municipal funds. Regulation is 100% not the reason we have the mess we do in the US.
Mitochondrial genome editing: another win for curiosity-driven research
Ask HN: Al / ML / Data Science people – what is your preferred title?
I've come across a plethora of titles across industries, including:

- AI researcher

- AI engineer

- Data scientist

- Machine learning engineer

There are slight and subtle differences in the implied roles but I've also seen these roles used interchangeably.

Is there a "best" role title that is most sought after? And what does the role progression look like? For example, for MLE I would assume:

- Jr Machine Learning Engineer

- Machine Learning Engineer

- Sr Machine Learning Engineer

- Team Lead - Machine Learning
(TimescaleDB engineer) Actually, the reason we break out the Jsonb like this is because json blobs are big and take up a lot of space and so we normalize it out. This is the same thing that InfluxDB or Prometheus do under the hood. We also do this under the hood for Timescale-Prometheus.

If you have a data model that is slightly more fixed than Prometheus, you'd create a column per tag and have a foreign-key to the labels table. That's a pretty simple schema which would avoid a whole lot of complexity in here. So if you are developing most apps this isn't a problem and filtering on dimensions/tags/labels isn't a problem. Again, this is only an issue of you have very dynamic user-defined tags, as Prometheus does. In which case you can just use Timescale-Prometheus.
Many of the places where I worked if they PIP'd you start looking. They already made up their minds. If they get a 'get rid of X% of people' you will be in that list.
and async

I don't get that impression from the description of the response from `POST`: https://scrapyrt.readthedocs.io/en/0.11.0/api.html#success-r... since it does not return a job-id that requires polling, it appears to block until your scrape request is completed or it times out

It's likely an implementation detail about whether the scrapyrt component is the one which blocks, but otherwise uses queuing and asynchronous invocations when interacting with Scrapy, or whether -- as the custom CrawlManager implies (https://scrapyrt.readthedocs.io/en/0.11.0/api.html#crawl-man...) -- scrapyrt actually takes over and makes the entire CrawlManager -> Scheduler -> Spider call stack synchronous and thus able to respond to a POST within https://scrapyrt.readthedocs.io/en/0.11.0/api.html#timeout-l... seconds with the actual Items
Good discussion all around.

I will make the point if all you are doing is paying taxes you are supporting the system you dislike. Without you (and others like you) the system would fail. If you demanded change those that represent taxpayers will do your bidding.

Parent has a point if everyone is saying I'm too small to make a difference someone else richer or larger will than you become part of the problem.
"Clojure's license makes it a complete non starter for me, sorry. Live free or die."

I don't think you understand what the word "free" means.
My take is that most modern PPLs have language bindings in JavaScript/Python/R because they are explicitly courting analysts/data-scientists/applied-statisticians, or they are taking advantage of modern technical stacks implementing auto-diff and co-processor routines.

Most pre- and post- processing (with the exception of visualization) should probably be a part of your model!
Also, down the road you might consider making a non-profit to manage improvements and updates to the clauses. You could even apply to YC with said non-profit. I'm sure they'd be interested.
Do you mean front end for mobile or desktop?
I was an ML engineer in a previous life.

For most ML and GPGPU workloads the bottleneck is memory bandwidth. It’s normal to hit 2TB/s because of all the caches, memory banks and the wide memory bus. I wouldn’t expect the APU to perform nearly as well as even an entry level GPU (say 1660) but I would be curious to see.
I like the way the documentation is laid out, does that conform to a standard?
How and why I attempt to use Links as main browser
> database engines that are quick at small queries are typically unacceptably slow of answering giant queries

Even with proper indexing? I haven't seen this issue with Postgres but maybe I wasn't working on large enough data sets.
"the other just makes ads more annoying"

The meme that never dies. Advertising funded tons of tons of businesses on apps and on web, employed hundreds of thousands directly and created a large economy.

Disclaimer: Former google, current facebook employee, working in ads.
PCIe 4 and 3200MHz ECC are readily available on the Ryzen and Threadripper platforms. But if 8 memory channels is a hard requirement, then AMD's answer for you is the above mentioned Threadripper Pro in the ThinkStation P620.

If you can live with 4 memory channels, consumer Threadripper opens up your options enormously.
> The issue with the US government and software is not a lack of talent (within the country, or even within the government itself). But a poor structuring and assigning of responsibilities and a severely risk-averse culture, paired with the overreaction of a risk-accepting culture occasionally showing up and fucking it all.

Bureaucracy in a nutshell. I wonder if there is a single country the western world where it is actually efficient...
I would say that it has made the case for it based on how many people have used it to exchange value internationally, trustlessly, at a very low cost.

Additionally, Bitcoin network is backed by its ability to detect and refuse counterfeit coins.

You can do most of the above with Visa or Venmo as well, however you run the risk of tax reporting, transaction reversal, fraud, negligence, changing fees...

When Visa works, it works well. But when it fails, it fails in quite bad ways that Bitcoin does not.
PC Cleaner Free – Speed Up Your PC with a Few Clicks – Best Software Examples
Well, some countries before tried to have a collective ownership of productive assets and it hasn't really worked out: it misaligns incentives all the way down.