skysight-inc/HackerNews huggingface dataset:
I think a lot of it has to do with the size of the court yard and the height of the building. Four stories with a court yard that's as long and wide as the buildings are high? That can work. 50 stories with a yard that's 50m across? The lower levels will live in perpetual twilight.
Throw in making it impossible to cancel the monthly subscription without calling and waiting on hold, and we've got a deal!
IMO the point of the prose is to explain each concept so thoroughly that the concept and implementation go from "this is beyond me" to "of course it works this way, it's obvious" for each and every chapter. It could maybe be shortened, then maybe not everyone could have that experience.
> that it was working and in fact saving money.

You need to define what you mean by UBI before making such claim.
It might save money if it means a single benefit paid to everyone who does not work. This has existed in some form in some countries for a long time (e.g. France [1]). Results are debatable because there are several parameters to take into account and several parameters to play with when implementing such scheme. Certainly, "improved employment" is very tricky to achieve, if it is possible at all.

If UBI means handing money to everyone, then it is not a realistic prospect not least because it is un-affordable (the ooposite of saving money...)

[1] https://en.wikipedia.org/wiki/Revenu_de_solidarit%C3%A9_acti...
You should be able to find the section that covers the issue and literally just read if it contains the thing or not...
Are there any ways to produce direct evidence of this causal relation (or any causal relation)?
it doesn't matter. chinese citizen opinion doesn't matter to the chinese govt. Western companies lose by trying to play fair against the chinese companies. This is all in accordance with game theory. By trying to be nice, we will be wiped out. The only choice we have now is to fight dirty like them.
You're getting downvoted because more than half of your examples are from non-Western countries with appalling safety regulations.

We already know authoritarian dictatorships (China, Turkey) can still achieve amazing infrastructure projects, damn the cost to human life or displaced poor people.

Fromt eh Western examples, Gotthard Base Tunnel work began in 1999 and it opened almost 17 years later, so that's less than 0.5 deaths/year. The Channel tunnel is then probably the only remaining example.

The other examples prove the point - safety standards have gone up and very few people die during major construction projects
200 Hour Yoga Teacher Training in Rishikesh, India
We have done A/B tests against AWS Personalize and other players like Nosto, Apptus, and more and to date we have not failed a single A/B test!
There's an assumption in this line of thinking which I think is unlikely to be true: that this stuff is measurable, at least in principle.

I think 'instructional effectiveness' can't ever be clearly and unambiguously defined, much less measured. As with anything that involves people. In my experience, most attempts to do so only cause more harm than good.
Where I work it the software doesn’t interfere with development tools but still, I don’t like the idea of it. Luckily they only have such monitoring software for Mac OS and Windows, so the solution is to use Linux (for now). If your company allows you to use any OS then I would recommend switching away from Mac OS/Windows... I guess there are trade-offs though, most Linux distros are not as polished as Mac OS, for instance.
Hey

Could you please explain a bit more how this works: "Advanced Port Forwarding - Allows you to set the forwarded port, taking away the need to modify your applications. It also has a permanent URL to allow you to access your device regardless of which server you are connected to. This also caters for device profiles."

Thanks
It's not great for accessibility neither.
We men better use more time to take care of children to compensate for that (and get better relationsships with our children).
I especially like the security parts. SOPS integration that lets you store encrypted credentials and the like in YAML files seems like such a cool way to get the benefits of GitOps without sacrificing security.

Edited to add link to https://github.com/mozilla/sops and to also mention my surprise at that Mozilla is behind SOPS. :)
The ten countries: Palau, Micronesia, Marshall Islands, Nauru, Kiribati, Solomon Islands, Tuvalu, Samoa, Vanuatu, Tonga
Would be happy to jump on a call if you send an email to anton (at) depict.ai

We have a documented API that you can easily integrate directly with if you are more technical!
The one in Finland, one of the biggest ever conducted, was a failure.

https://www.helsinki.fi/en/news/nordic-welfare-news/heikki-h...
This is why I never use rm when I'm tired or working on important system anymore. I'll just mv the files somewhere for review later. Worst case is I just moved a wrong file and can simply restore it back.
Maybe I'm unlucky, but any company I worked in has that legacy codebase which kind-of works, has bugs, and that nobody wants to refactor - and I don't blame them, refactoring code which had years of debugging is not always a good idea if you don't have unlimited money.
> Perhaps the required ANN size to approximate the AI / AGI function is so huge that it's beyond the number of particles on Earth

Perhaps there's a teapot orbiting Mars. It's unlikely tho. I think a better hypothesis would be that to model a brain (if we knew how) one would need the same order of magnitude of neurons and connections. This is completely unachievable now, and even if it were technically possible nobody has a faintest clue about how to train such a thing. We do not understand _many_ things about how the brain learns (no backprop!), how it retains and retrieves memories, etc, etc. The best studied system is vision, and computer vision does actually work pretty well by now, achieving superhuman results on some tasks. Thus far the most complex brain we've been able to accurately and completely model is not even a brain at all - it's just a handful of neurons of a worm. I took an online course in neuroscience a few years ago hoping to gain some insight for my ANN work. The situation with our understanding of even primitive brains of i.e. rodents is, well, primitive. We also don't really have math to accurately model more than a handful of real, biological spiking neurons - PDEs get way, way too complex for anybody to handle. But one could argue we don't have to: ANNs effectively operate in the frequency domain instead, where magnitude of activation approximates spike train frequency, and timing effects are ignored.

Don't get me wrong, I'm pretty sure if we do achieve real AGI, it likely won't be with anything even remotely like the current tech and science stack. Energy efficiency and compute density is just not sufficient. But I'm also pretty confident that even with the current stack we will be able to, eventually, approximate intelligence closely enough to suit many practical uses that seem completely out of reach today, including even some limited degree of logical inference, and dare I say, cognition.

If only people (including myself) weren't so chickenshit and actually seriously worked on (and funded) this stuff, that could even happen in my lifetime. As things stand right now, people are afraid to touch anything AGI related due mostly to fear of ridicule.

In my comment above I am merely referring to the conjecture that _if_ we had ANNs that are large enough, and _if_ we knew how to structure and train them, there doesn't seem to be anything that would _fundamentally_ prevent them from supporting AGI. Those are very, very massive "ifs" indeed, without even a faintest glimmer of light at the end of the tunnel.
> because I don’t know how else to have a cross-platform filesystem without a stupidly-low file-size limit

UDF is natively supported on all major OS.

I haven't used it in macOS but on paper macOS seems to be having even better support for it than Linux so you can give it a shot.

Lastly, you can use https://github.com/JElchison/format-udf for creating most compatible filesystem across different devices.
Isn't that made for somewhat beefier systems? Wouldn't Linux fill much of that niche today (modulo RT properties)?

Remember that a lot of embedded systems run on really constrained chipsets where memory is measured in kilobytes and where the underlying architecture isn't necessarily a von Neuman architecture.
There are presumably too many confounding factors to make that a worthwhile comparison. It's pretty hard to control for businesses semi-voluntarily closing their doors and people actively avoiding the ones that are staying open.
The Symmetrical Foundation of Measure, Probability, and Quantum Theories
I am always astonished at how bad the UI of Amazon products are. I know that there is some dark pattern used on purpose, but even the "normal UI" is a disaster. It lacks clarity, it doesn't convey the information needed, it is often confusing ... How can the e-shopping leader can have a worse UI that a small business ? It keep boggling my mind.
I'm not sure of any hashing algorithms which use words as their output. Or have I misunderstood your comment?
Bitcoiners in Hong Kong took out a front page in HK's last independent newspaper
I'm not exactly sure what you mean.

The conditions for causal inference being possible are pretty clear and have to do with the intentional modification of the local environment.

The intention to achieve some new environmental state, and your action to bring it about, is a dynamical activity that enables "deep" model building.

Causal inference is not going to be some "module" of the brain... it requires a body. When you place your hand on a hot surface, once, you immediately understand that it is hot. It does not require "induction" (as hume supposed). That is because our body identifies causes.

Its therefore pretty trivial to observe no NLP system understands language, or even can understand language, because it lacks this capacity to acquire language semantics via participation in environmental exploration. It has no body.

ie., you need to have experienced "on top", "green", etc. to know what "green leaves grow on top of trees" means. There is no meaning in the frequency co-incidence of symbols in text.

So no matter how much you are able to reproduce these patterns, they contain no content. The content is in the reader.
Ask HN: How to structure JV for SaaS given upfront salary/costs
I previously asked a question here (https://news.ycombinator.com/item?id=23640125) about a former colleague wishing to extend a platform I developed for them into a SaaS.

The joint venture has yet to gain traction. Mostly due to a lack of time & enthusiasm on my part. Partly because I am not sure the business idea has legs; this is not because the platform isn’t useful - it really is. I’ve built the platform using existing technologies and I understand the underlying theory reasonably well. However, it would not be hard for a potential customer to hire developers and to re-create a similar platform with some time and effort.

All that said, I’m starting to get itchy feet in my day job and switching to something completely different would be good and I’d have greater control in what I’m doing. I’d also happily put a lot of creative energy into something I’d have ownership over (even if shared).

My former colleague is really keen to get the idea off the ground and has recently asked what it would take for me to get fully on board. They touted a fixed amount that would take me from my day job for 2 years. It was a round number and amounted to approximately 85% of my annual salary (excluding discretionary bonuses). They also offered to cover hardware/cloud service costs.

This is quite tempting to me and I’m exploring the idea. I’m not sure how one would structure a fair contract in such a case. How could I argue to keep a greater percentage ownership of the new entity especially if I’ve been given a relatively large forward salary. What proportion of ownership would be fair in this case? 60/40? 55/45? Are there any other general thoughts or caveats I should be aware of?
A React Breadcrumb Component Using Compound Components Pattern
Making a Reusable React Breadcrumb Component Using Compound Components Pattern with support for new page requesting anchor tags, as well as client side routing react-router anchor tags. One an also bring their own Separator component to give to the breadcrumb component
ntdll is a userspace library, not a part of the kernel. So when you call ntdll functions you aren't calling into the kernel (although most ntdll functions will do so on your behalf).

And ntdll itself is technically unstable[0], though I'll grant you that there are many functions that are unlikely to break. There's no guarantee though.

[0]: https://docs.microsoft.com/en-us/windows/win32/devnotes/call...
Theoretically, but that is not the reality I think. Imagine having such a speaker but it was turned off on the day you have no alibi. Suspicious?

Certainly not enough to convict someone, but there could be other unfortunate factors.
Because apparently the only relevant people are those who have taken on the complexity of running docker?

I'm literally blown away by this comment.
On my Big Sur machine, `bash ./hello.com` works the first time, but then it overwrites itself(!) with a Mach-O, so further executions have to be `./hello.com`.
Up to 35% of Amazon's transactions come from automated recommendations – which they have become really good at optimizing. We help everyone else reach these numbers even though they do not have the same volumes of data or technical expertise as Amazon.
We obviously have a working model of the world that we draw facts from, that is partly built-in (trained by evolutionary processes) and partly refined with personal learning.

By contrast, GPT-3 only has a knowledge of text. To the extent you could say that it thinks, it thinks in terms of textual symbols that it has seen before - that is its world.

It is theoretically possible that if we found a way to encode experiences of the world of the world in a dataset and used the same training mechanisms and models that we used for GPT-3, we would get an AI with a decent model of the world. But it is magical thinking to imagine that we can get there by training a model on raw text.
php is great and this is not news. all the haters go to your hipster frameworks and spend the time i need to build an app with just setting up your boilerplates.
I think it's completely legitimate (not necessarily the music, but the launcher has enough issues). I'm not sure why we're expected to put up badly designed software just because at some point we get to play a good game. I will absolutely give a game a bad review if certain parts of the on-boarding experience are terrible. My most recent one was Fallout 76, where all the problems getting the game running in the first place drained any interest I had in trying the game and at least giving it a chance.
That's probably true. I'm talking WW2 and Korean War.
It's the Cyclopean, non-Euclidean display names that really grind my gears.
Muting your sound makes that dark pattern somewhat less annoying.
Mozilla senior leadership have also been caught up in the politically correct mantra that pervades much of silicon valley, which imho is a huge distraction from making great products. Case in point: https://mobile.twitter.com/newstephen/status/106048929137627...
Yes. We ingest all that data onto central Hadoop, where data science team can access all of it in an uniform way. This solves the physical access problem.

Unfortunately, the DQ and meaning of data are harder to solve. They require essentially caretaking of the datasets done by the data owners (cannot be done by a centralized unit). My organization is currently undergoing a transition, where it will be a responsibility of the data owner to maintain the metadata of his/her dataset and also to measure the data quality, but implementing it across the whole org is a journey that will take a long time.
Am I the only one trying to figure out why Mozilla even has a "speech-to-text" team?
There are client libraries for lots of languages, and a simple client is easy with just a HTTP library:

https://matrix.org/sdks/
https://github.com/ara4n/random/blob/master/bashtrix.sh
Electronic Arts (EA) GPL Compliance Website
I don't think that's necessarily true. What is true is that the impact of new technology is not determined by tech visionaries alone and not even mostly by them.

But new technology has had a dramatic impact on societies in the past, disrupting monopolies, creating new ones, confronting society with new choices, opportunities and challenges.

Technology can force a rethink. It cannot force outcomes.
hmm. all toolings are around html. it isn't or meant to be going mainstream. just a niche...

>> All you're doing is fracturing the ecosystem needlessly.

I haven't done anything yet ;)
From the abstract:

> Quantification starts with sum and product rules that express combination and partition [...] measure theory formalizes addition, and probability theory formalizes inference in terms of proportions. Quantum theory rests on the same simple symmetries, but is formalized in two dimensions [...] in order to track an object through its binary interactions [...] The standard quantum formalism follows. There is no mystery or weirdness, just ordinary probabilistic inference.
I usually check the steam gauges to see if I need to shovel in some more coal.
Running debian? You can place override configs in /etc/matrix-synapse/conf.d/ and let /etc/matrix-synapse/homeserver.yaml stay updated by the package
> it is unlikely to be qualitatively different from a neural network

I'm sorry but this shows a profound misunderstanding of what a NN is, and what the brain is.

There are no "neural network"s. The NN algorithm is a method for optimizing the parameters of a piece-wise linear regression model.

These regression models have no homology to any brain structure and the process of producing them ("training") has no neurological analogue either. They can be produced with a variety of algorithms.

Here's one: f(x) = max(0, 2max(0, 3x - 0.1) - 0.5)

The phrase "neural network" is, as peddled by the media and poorly informed lecturers, a lie. It is neither neural nor a network. It's just gradient descent with more parameters.

A model of the brain would model, at least: neuroplasticity, biochemical signalling, activation frequency, etc.

There is nothing about a peice-wise linear regression model which does any of that. No matter how many circles and lines you draw. (NB. essentially any mathematical function can be drawn as a "neural network". The "network" is just a way of diagramming function application & dot-products).

Aside from all that, the body-brain system of animals is a physical process whose properties are not abstract. The reason we are intelligent is because we have bodies capable of causal analysis; and that capability is biophysical.

To put it another way, no algorithm which runs on a digital computer will turn it into gold. Not even one called, "the midas algorithm".
And use lambda and pi.
It's not a win, it's a smaller loss.
Does Wikipedia count as a technical solution? I don't think the tech does anything without the people editing it. I believe it's the policy ("everyone can edit") that made the advancement, not the specific system they built to allow it.

I agree on the second point, but it's more by accident in my opinion. If the technical solution leads to people finding it easier or cheaper to do something, they'll adopt it. Whether it's new, good, pristine, perfect, free & open etc, doesn't matter. It has to make their life easier, save them time and/or money or otherwise enhance the experience, that's what counts.
Perhaps also state when the reply is coming in the initial tweet so if you don't meet your deadline, people can assume you decided to hide it.
In a similar vein I often like to try out a few avenues, because thinking about them won't get me any further, i need to interact with them to build meaningful scenarios.

Of course if you try three ways to get the right way, you've "wasted" time on trying to two wrong things.

E.g. when selecting a library it's often hard to find the one case that breaks, just from reading documentation, instead playing around with the library can get you there faster.
Try this open source project, I set it up on shared hosting and it's amazing and full-featured https://github.com/kanboard/kanboard
Can someone validate this source? A Canadian here trying to raise money has been much harder than the USA. I haven't seen deals or valuations anywhere what the graphs imply. Plus it says per project US but lists the amount in Euros....
Moonwalking with Einstein – Short Thoughts
How to write Blog without Motivation
React Native Animation Using Hooks: Loading Screen
In A/B tests we have compared against e-commerce stores existing recommendations which are either manual or made by other recommender systems. We will consider running experiments like the one you describe it is a good idea!
ManVSmachine. How will technology replace us? Online talkshow Sep 14th 11am CEST
For the last decade businesses have focused on implementing robotics and AI to the detriment of the workforce, but why push away those workers when you can empower them?
New technology in our age is not only a tool that helps frontlineworkers to be more efficient but has the potential to entirely replace large parts of our workforce. We will discuss how we can adapt as these new challenges and opportunities unfold.
Join us on September 14th at 11am-12pm CEST, for an engaging online talkshow with our host and expert guests.

Marcus Goerke - Executive Board Member at Next Data Service AG
Thomas Waldmann - Venture Manager at Würth Elektronik Group
Moritz Schroeder - Founder at Obob
Ian Hannigan - CEO at FORMATION GmbH
Hosted by, Danny Holtschke

Register for free: https://my.demio.com/ref/VvT2hNWEY7Obuk3w
I'm considering adding something like this to https://expose.sh to serve static sites (like React apps) publicly in one command.

Something like:

expose serve public

Your site is ready at https://a3rd.expose.sh

Then your static side would be served from localhost over a public URL which you could then use for demos (or helping your backend guy do the integration). This wouldn't be too difficult to implement.
SELinux is bearable on a server, but I don't know if I could live with it on a dev workstation though (to be fair, as a mainly Windows dev, I never made the effort to "learn" SELinux properly).
It's almost 100% cultural I feel. At least Japanese people always attribute it to their culture and self concept of what Japanese do / how Japanese (and therefore themselves) behave.

If there are non-cultural factors I would think they contribute a fairly small amount.

But there's a light side and a dark side to the cultural factors. It has some seemingly unavoidable side effects.

Feels to me very much like a trade-off.
Want to share your 2.5 successful products built this way?
And most of us in Berlin would say living in any other German city is unimaginable.
I'm currently in Spain and the economic outcome is devastating for low income people, you can sense that large part of the population can't take it anymore and I can't see the measures to continue in the long run. Despite all the neasures (including masks) the virus is spreading.
Scared of non ASCII characters? ;) It's Maria Skłodowska-Curie
By this token, the best way to learn Mandarin would be to start looking at text in Mandarin and trying to assign it meaning. While it theoretically can work, it is vastly more difficult than trying to relate it to a previously learned model. In fact, it is so difficult that we have never successfully understood a lost human language this way (though with the caveat that we don't have the huge corpus of text that GPT-3 was trained on in any of the lost languages we tried it on).