skysight-inc/HackerNews huggingface dataset:
> I am not convinced current AI is the approach to an AGI

This is a non-sequitor. I didn't argue that current AI theory, or Kaggle, will lead us to AGI.

> Kaggle is almost just an optimization fest

Public machine learning competitions have produced a lot of innovative learning techniques. If Kaggle is so easy, and AGI so hard, it would follow that anyone tackling AGI would have some experience applying machine learning competitively in some public space. It doesn't necessarily need to be Kaggle. Kaggle just happens to be good at hosting such public competitions, and in fact has surfaced several state-of-the-art implementations. The difference between prize money (~top 5) and no-prize-money (5-10) may be an "optimization fest", but without the competition, the solutions presented would have entered the public sphere at a much slower rate.

EDIT: Please be kind and explain your downvotes.
Is it?

I think "Responsible Disclosure" involves cooperation with the vendor before releasing any information, e.g. Project Zero is responsible disclosure because the information is released after the problem is patched. I label all disclosure of unpatched vulnerability without cooperation with the vendor as "Full Disclosure".
It's probably both. There's going to need to be a series of breakthroughs, but there's also going to be a lot of engineering required. I believe that AGI won't happen suddenly. It will require putting a lot of pieces together. We'll get systems that have an incrementally better and better model of their environment.

Personally, I find it kind of offensive how scientifically-minded people believe they have the monopoly on generating ideas and making the world progress. That's clearly not true. Deep learning research wouldn't be where it is without GPUs, and compilers like TensorFlow and PyTorch. Engineers are huge drivers of change, they make things happen.

Deep learning research already involves a lot of trial and error. Tinkering and cobbling as you put it. People can't really tell, just writing things on a whiteboard, whether it's going to work or not. There might be some mathematical intuition, but a lot of it is throwing things at the wall and seeing what sticks, empirical testing. Some very high percentage of the research being done is basically thrown away.

Furthermore, I would personally say, as someone who works in deep learning, that we're collectively getting a little myopic. We finally got neural networks to do cool things. People are very excited, but they're forgetting neural nets are not the only kind of machine learning technique around. It actually works really poorly for some things. We're just largely disregarding every other approach because we have this one cool new toy. So, I don't know, maybe the next huge breakthrough will come from someone who's a deep learning outsider, and who's not completely locked into this paradigm and unwilling to look at anything else.
Another one in a similar situation. My wife is also very practical and socially conscious. We looked into moissanite really seriously and almost bought a custom ring with it made by a local artist/metalsmith we were working with, and my wife was like "I don't know why but I just don't want this." She knew she wouldn't be happy and was trying to be honest. So we looked into other precious gems, other nontraditional minerals (because of hardness) and she kept coming back to diamonds. The synthetic market at the time wasn't very good, and secondhand was too risky in terms of provenance for her, so we ended up with a Canadian diamond.

I'd love to see the market change, to support more diversity in what's normative. But it is too late for us. My wife loves her ring but it was kind of a surprising reaction for her to deal with. She's said that if it were any other jewelry she'd be fine with something other than diamond. She also in retrospect wishes she had been accepting of moissanite. But it was what it was.
AI today is comparable to physics in the 1700s. Back then, it was a bunch of people tinkering with prisms and apples. Today, it's a bunch of people tinkering with hyperparameters. I suspect that we know as little about AGI today as someone in the 1700s knew about QFT. Not only did they not know about QFT, but they didn't even know that they didn't know it.
Streamline work processes with a modern data extraction method
Yeah. Same sentiment.

If I wanted to buy a hackable mobile Linux device, I don't see why I would buy this instead of a PineBook Pro (when it comes out).

I would really hate typing on a silicone keyboard.
Thank you! Any idea how does it compare with redash then?
It's a long running process, so pypy should do well.
Guess his singing has more fans than I’d think!
That’s assuming maths is the fundamental building block of our brain, our consciousness. I happen to think there are some physical and chemical givens preceding it :)
The problem is thinking it's only about the companies. The job of professional driver has existed for a long time. People working as freelancers specifically don't want a job for whatever reason. Why should that freedom be taken away?

Why must contractors have the same benefits? They have the choice to make whatever deal they want. A better strategy would be healthcare and taxes that aren't tied to employment so that contractors can more easily match employee terms.
Maybe I overlooked it, but I didn't see any dimensions. Anybody know the expected length/width?
I don't see this succeeding.

Silicon keyboard will be a pain to use.

Case is too bulky to carry on person.

LORA/GNSS seems like a solution looking for a problem.

Screen is too small for dev work.

This doesn't manage to sit comfortably in any of the popular portable computer categories and I don't really see a niche for it.
If you know about math you're just as good at ML as a person who read everything about swimming is in swimming. You got to run experiments to see what happens, build an intuition, understand the problem from the inside. Math leaves you with a few pretty formulas and nothing else.
> Unix itself doesn't adhere to Unix principles.

Principles != dogma.

> The Unix philosophy died when ls learned to sort its output and find learned to execute commands.

As for "find", I leave the explanation of it to this[0] recounting. Suffice to say that one command doth not a philosophy make.

Regarding "ls learned to sort", let's put this trope to rest, shall we?

The 'ls' command, as I am sure you and all whom read this posting are aware, is described[1] as:

NAME
ls -- list directory contents

Now there are many command options which have been added to 'ls' over the decades, no doubt. But you partially identified the death of "The Unix philosophy" as being "when ls learned to sort," so let's focus on that.

The implication of that assessment, in this context, I assume to be a reference to "do one thing and do it well."[2]

Which begs the question; what is the one thing which 'ls' must do? Given the summary description quoted above, that "one thing" is:

list directory contents

This leaves the remaining conjunctive clause of "do it well."

Since the operation of 'ls' includes both filtering and production due to the functional requirement of having to "list directory contents", there exists two disjoint concerns which must be addressed in order to satisfy the goal of "do it well." For example, an invocation can involve identifying C source files ("*.[ch]"), yet want the production of the files which match based on when each file was last modified ("-c").

To achieve sorting on the modification time using another program, such as sort[3], would require 'ls' produce both the desired output as well as out-of-band information needed to sort[3]. This also implies that the desired sorting (such as numeric or lexiographic) must be provided out-of-band as well. And this, too, would imply that sort[3] is made aware of what/where the out-of-band data can be found. All of this leads to a "Leaky Abstraction."[4]

Instead, if one identifies the functional requirement of 'ls' to treat both filtering and production as coequal concerns when listing directory contents, the need for 'ls' to "learn to sort" becomes self-evident.

0 - http://doc.cat-v.org/unix/find-history

1 - https://www.freebsd.org/cgi/man.cgi?query=ls&apropos=0&sekti...

2 - https://en.wikipedia.org/wiki/Unix_philosophy#Do_One_Thing_a...

3 - https://www.freebsd.org/cgi/man.cgi?query=sort&apropos=0&sek...

4 - https://www.joelonsoftware.com/2002/11/11/the-law-of-leaky-a...
>resumably the companies with the bigger budgets have that money to spend because they have a better product.

Laughably wrong. Like, parallel universe wrong. Don't even know where to start on that one.

With response number two, there is so much wrong, I don't even know which part to quote:

-Who said people turned in because of advertising? I have literally no idea where you got that from?

-Fake news is a cheap way to produce content that gets a lot of attention. You make something up that riles people up, and then people share it. Without advertising, there would be no direct financial advertising to do so.

-Who cares that advertising companies would prefer not appear next to fake news. Their actions still directly encourage fake news.

And so much more. A real Gish-Gallop you got there.

> Are reviews an attempt at manipulation?

This is the mark of the ultimate dishonest argument or lazy thinking. Do you honestly not see the inherent difference (of kind, not degree) between a review you seek out from a trusted independent source, and an ad that someone paid for to put in front of you against your will, and who's only incentive is to get you to buy the product it is about? If you don't, I genuinely can't help you.

>It disrespects people and treats them as weak minded simpletons who have no thoughts other than what they are told to think. At a certain point you have to respect people and their ability to make decisions for themselves.

I don't like having to constantly spend that energy. I don't like constantly having to be on alert and defend myself from the manipulation attempts.

And this is such a bad argument in general. You could use the same argument against anything designed to make people's life easier and less stressful. Why does advertising get a past.

In conclusion, your entire comment is a collection of the very worst, lazy and dishonest arguments and excuses for advertising.
Actually, they don't make money on sales of BAT. Like most cryptocurrencies, its price is determined by supply and demand.

Sure, they’ll benefit if BAT goes to the moon because part of the team’s compensation is in BAT, but that’s no different than a startup and their stock.
The $300 LoRa model is what takes it from meh, to kinda cool, maybe even worth it for me. Might even be useful for high-end 'pager' or data capture apps perhaps.
Show HN: Kvrocks – Supports codis protocol now, kvrocks is Redis KV built on SSD
That's just what an ML expert would say ;p Problem solvers, maximizers, and utility functions all go in the waste bin when working on AGI. And the problem peals away into other large "hard problems," like the nature of consciousness. NLP can just follow rules, but language understanding (before even reaching some general, high school level), requires knowledge outside of language itself. That leads to questions about embodiment and phenomenal consciousness, p-zombies, and the like. If it was an easy problem to encapsulate, it would have been "solved" by now.
Some Blog

November 13th 2422

This week, Groaar and Mrumfm have been experimenting a new invention. We are considering calling it "wheel". Will keep you informed.

Comments

This is old news. Our tribe has been using it for eons.
Excerpt:

"5. Communicate directly, irrespective of hierarchy
“Communication should travel via the shortest path necessary to get the job done, not through the ‘chain of command’. Any manager who attempts to enforce chain of command communication will soon find themselves working elsewhere.

“A major source of issues is poor communication between depts. The way to solve this is allow free flow of information between all levels. If, in order to get something done between depts, an individual contributor has to talk to their manager, who talks to a director, who talks to a VP, who talks to another VP, who talks to a director, who talks to a manager, who talks to someone doing the actual work, then super dumb things will happen. It must be ok for people to talk directly and just make the right thing happen.”"
Can you please not post unsubstantive comments here? Especially not as a first comment. Threads are sensitive to initial conditions.

https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
Apparently you can use BAT for groceries: https://www.reddit.com/r/BATProject/comments/dvfpig/i_bought...
I don't think it's about storytelling at all. Star Wars under Disney or Marvel are not examples of good storytelling.

What Disney understands is the brand management. Disney brands are valuable because they are familiar, consistent and safe choices. Disney is the stable food producer in the entertainment business.

Using Scorsese's non-cinema as a label for what Disney does not necessarily bad. First 3 star Wars Movies were cinema. People were surprised, exited and blown away. You can't replicate that again and again. Now Star Wars is just Star Wars. People want stable diet of Star Wars that is just like they remember it with minor variations. It's watered down, but very familiar. They keep all the 'best bits' people like. "I have bad feeling about this", "something something dark side".
Which loops back around to my original point, which is that the notion that we should alter or influence the algorithm because its output does not match our worldview or politics is not the removal of bias it is the deliberate injection of our personal biases.

The whole point of using the algorithm was to make sure personal biases aren't impacting the decision. If we're going to alter the algorithm because we don't like the result, then why are we bothering to use an algorithm in the first place? Just use a human to make the decision. At least in that scenario potential biases have an identifiable source, as opposed to an opaque program that may have been made by engineers that deliberately tuned it to avoid any disparities because they think any disparity in outcome is fundamentally problematic
A plastic made from fish skin just won the James Dyson Award
Up until a few years back, crypto was left completely behind. Still possible to beat the quants and the suits, iff you know where to look.
WeWork’s Toxic Phone Booths
They don't say who makes the SOC, just "1.2 GHz Quad-Core ARM Cortex-A53 CPU", which is a lot higher spec than the GR8[1] used in the prototype.
This has implications for mainline kernel support etc.

[1] http://linux-sunxi.org/GR8
I subscribe to a small channel on YouTube and the channel owner had a very impressive demo of low latency bi-directional teleoperation. He's got some Cheetah vids so I'm guessing he at least contributed some code here if not control/hardware.

https://www.youtube.com/watch?v=FnQGPGG-vuQ

I feel creepy posting this for some reason but if you have even an inkling of the complexity it's a crazy demo that I had to share lol.
https://lmgtfy.com/?q=analogy
You really sound like this topic of bias in AI is new to you. Here’s a real world example: a medical school used to be male-only. Recently they began admitting women. More recently, they began running “AI” trained on past student applications to figure out which applications were likely to be successful students (where successful == graduating normally). Not surprisingly at all, it turned out that being female wasn’t associated with being a good student there, because it was an uncommon attribute of previous students.

This is a poor result. Would you argue that the model should not be adjusted?
I just put 2FA on my Github account. During that enrollment flow, there were no red warnings, and nothing said that if you lose your 2FA device and your recovery codes you will be unable to ever access your account. In fact it said

>Treat your recovery codes with the same level of attention as you would your password!

Most people forget passwords all the time and treat that as no big deal because they can just reset the password. If people use that "same level of attention" for the recovery codes, then they will be lost just as easily, except this time people won't be able to recover.

Edit:

After enabling I got an email with a much more cautionary tone:

> Recovery codes are the only way to access your account again.

> GitHub Support will not be able to restore access to your account.

It's interesting they call this out in the email but not during the sign up process.
The public keys on anyone's gh are publicly accessible. Your account doesn't seem to have any: https://github.com/soheil.keys

Of course, someone might still have removed those keys. IDK.
And another is that you can’t extract one chapter to take with you.
> how would the hospital obtain records from an unconscious person?

In most developed countries, they pull his ID out of his wallet and type it into the nearest computer. National healthcare has many advantages.
seccomp actually has that ability to allow only small portion of selective operations.

Block everything except io is just one of its blocking mode.

And the list is even configurable. Docker do use such ability to filter out sys-calls that shouldn't be used in the container.
Yeah, this comments section is a bunch of gossiping hens trying to get it on record that they don't think his retirement hobby will amount to anything. Pretty sad in what's presumably a community of fellow craftspeople and makers.

The human brain really can't handle the crippling adversity of a fellow human announcing an aspiration. Hopefully our AGI replacement can.
Show HN: Visual Speed Tool – View your site as it loads natively, in China
It’s rewarding a merchant for a service you like: I like paying with Apple Pay so I will encourage merchants with my wallet who do so. Eventually it will be the norm for merchants to take Apple Pay and Samsung Pay and AliPay and others maybe with a square space etc but contactless payments in real life and seamless payments online is something I want to advance.
A while back I met with a large number of quants for <very large and famous quant fund>, if that's representative of the field, I can understand why rentec, tgs etc. would dominate
It has 'a 4.95" 1080p LCD display' and it looks about 1.8x wider and maybe 1.2x as long, so... roughly 5" square?
We've never hand-designed anything as complex and novel as what bio evolution discovers. We can't even ship error-free word processors. The more bug-free space shuttle code doesn't do much relative to AGI.

"Humans create humans" via what bio evolution found.
Disney Bomb
It uses about 750KB total, spread over a dozen or so tiny programs. Probably 2x the memory and more CPU time because it's broken into so many pieces, both in time and code. And at least 2x-3x the development time.

It pushed me to work on minimum-memory maze solving. It costs a lot to test a cell (this involves ray-casting in the simulated world) so something like A*, which examines most of the cells, is out. An algorithm in Wikipedia turned out not to work; some anon had snuck in a reference to an obscure paper of their own. Had to fix that. What I'm doing is "head for the goal, when you hit something, follow the wall, if it will get closer, head for the goal again". Wall following is both ways simultaneously, so you don't take too long on the long path when a short path is available. After getting a path, the path is tightened up to take out the jaggies.
This is not optimal but is usually reasonably good.

The rest of it is more or less routine, and a pain to break into sections. The programs have to communicate with JSON, over a weak IPC system with bad scheduling.

I always liked the 3D "metaverse" concept. Second Life, which has about 30,000 to 50,000 users on line at any one time, comparable to GTA Online, is the biggest virtual world around. Everybody bigger is sharded, but all SL users are in one world.
The technology needs a refresh, but every competitor who's tried to build a big virtual world has been unable to get many users. So, you're stuck with outdated tech if you want to get something used in a virtual world. I think they're still in 32 bit mode on the servers, even.
So that's what happens if you enable 2fA. I have disabled it after I left a Github org where 2fA was required, and haven't enabled it since. However, Github now regularly sends me e-mails with auth codes, basically forcing mail-based 2fA on me. It's annoying as hell and I can't disable it, nor does Support want to do anything about this. Very sad as I'm using a password manager and my password should be safe.
Fwiw, after a certain amount of pain, brain "transcends it": everything disappears, there are some curious colors here and there, but there is no pain. Experienced that during an in ear infection.
Yes the concept, as well as implementations, existed for decades. I think WASM is hype because it comes from the Web/JS community and they have good communication, but technically there is nothing new under the sun.
It's best to think about AGI as... at what point can you drop out of high school and still do well in life (or do you even need high school). It's true that it's not a survival issue, but sadly, it's not a test of "pure knowledge" either. There is a great deal of social structure, even "fluff" that is only relevant for interaction (like getting an 80's reference).
The stories that Disney owns are just a drop in the bucket compared to the whole rest of the world. I mean, no matter what you watch, read, play or listen to, there's only so many hours in the day for any of it. I remember the Aladdin and Lion King movies of my youth fondly, but no more fondly than say, Sonic the Hedgehog, Super Smash Bros., Astro Boy, Final Fantasy, Lord of the Rings, Pac-Man, Pokémon, His Dark Materials, Animorphs, or the Harry Potter books. Last I checked, Disney doesn't own any of that and those were just the first handful of examples I pulled out of my hat. I think our media habits are even more fragmented nowadays than they were in my youth, and that's in part because YouTube, Steam, Twitch, Netflix, and the million and one other streaming services we have today didn't exist in the 90s. I think Cable TV was the new hotness, and that was choice compared to mere broadcast television.
LoRa - Long Range, low-power wide-area network (LPWAN) technology
But the article points out that Disney doing that is exactly why Star Wars performance has been lackluster. They're now taking a step back because apparently the public doesn't want a steady drip of Star Wars same-old-same-old
Yikes, poor people. I wonder if there is also a similar site from the French testing in the South Pacific?
I've got a keyboard much like that one, and I thought it would be a pain for anything beyond simple character presses, but surprisingly it isn't that bad.

However I don't see it succeeding either simply on the price. It's too high for the specs. I wouldn't do that for anything less than 4 GB ram.
There are providers that do this like the people from Square. As an Apple ecosystem user with an Apple Card (that I use almost exclusively) I just prefer Apple Pay but it combined with Sign In with Apple means I don’t have to give the merchant my real email (yes I know other email providers provide one time emails and such but for me the Apple sign in feature is much easier and convenient).
Are Your Microservices Overly Chatty?