skysight-inc/HackerNews huggingface dataset:
I mean, you're right. Many quit, because they don't see the point. Which, in turn, reflects to some of the problems: the kids' reasons to do it in the first place, which is often just force from the parents, and the second is lack of incentives and/or meaningful positive feedback. So, from a quitting kid's point of view, it's pointless. They don't get anything out of it. And we're wired to get rid of things that we don't get anything out of.
Maybe it isn't the tech that you are bored with but the application of that tech.

In my view there is a huge difference in using your DS skills to produce actuarial tables for an insurance company or using the same skills, but with very different data inputs, to optimize sustainable fishing or farming. Well you did mention farming.
A lot of the obvious questions on the table were answered, even without an answer we at least have the question. Today true, groundbreaking innovation needs someone to identify the new questions. It's like doing science in a bubble and you need someone to take a massive new one and merge it into our own. Right now we're not opening wide doors, but just refining and adding almost imperceptibly to an already huge bubble. We're grinding in the game because we can't find the boss on the map or can't beat it yet.

Besides the current structure of research and the known weaknesses (misaligned incentives, funding issues, etc.) science in general today ran out of low hanging fruit. The last unexplored or unanswered riddles may need prerequisites that are outside of the current boundaries so someone needs to open the door do a vast new bubble that has more relatively low hanging fruit.

Also humans probably (don't quote me on that :) ) can't come up with any new questions or answers unless they are already at the edge of that bubble. And they each see and understand a smaller patch of that surface as it expanded. Stumbling onto new thinks is exponentially harder.

This is what those revolutionary discoveries did for us in the past: Opened the door to a new world where the hard answers were suddenly a bit easier, they made sense.
Electric and acoustic guitars are really two very different instruments; a bit like comparing trombones with trumpets. The way you hold and play the basic notes is fairly similar, but the techniques are very different for electric because of the amplification and distortion, and of course the sound is extremely different.
I'm very interested in this area, but I've never been able to get a handle on what's going on in this particular project. There's no coherent explanation of the technical aspects, no documentation, hours and hours of rambling videos, the repository linked from the site is an unstructured grab-bag that revealed nothing enlightening after 15 minutes of rooting around in it. There's also a lot of far-fetched, hubristic ideas and mumbo-jumbo that doesn't pass the sniff test for me. I get whiffs of Terry Davis-style outsider art.

On the other hand, he seems to have an academic pedigree and has presented at serious conferences, so it might be that there's something interesting here that I'm missing. I just can't tell - if anyone else is more enlightened, I'd be interested to hear about it.
If you want a TV for true HDR content you need a couple orders of magnitude more brightness than that. 2000 nits is a fraction of the peak brightness you see by just going outside. If you want to recreate an outdoor scene on your TV you just can't do it with the current displays.
Great that you fixed your old TV!!

About those new TVs. You always have a choice to not connect your smart TV with the internet and connect something you trust more with internet access to watch what you want to watch. At least that is what we do at our home. I never see or even update the software on the TV itself.
What I like about the new 4K OLED TV we have is not the 4K but the HDR, deep blacks and the colors. It was a definite very big upgrade over our old 2010 HD TV.
The discourse around this stuff seems so insane to me. Am I wrong on this? It feels like the cat is out of the bag and the only way to have generally good outcomes is to go ham on open source models. IMO there's a zero percent chance that generative AI can be meaningfully controlled and any efforts to restrict training will only result in fewer people having access to the good models. They will still be created, only by people who don't care about the ethics at all, or big corpos who seek to collect rent.

I think the only way I see a good outcome is that the FOSS models are so good there's no money to be made competing.
That's a tradeoff that might make sense for optimising single-shot execution environments - I'm thinking Serverless/Lambda.
People are also not considering that unless you get a 4K feed (which is not that common or costs a lot more) 1080p will look blurry or not as a good on a 4K screen of that size
Ask HN: How to deal with the constant urge to do or create something
I'm tired. I had an exhausting year at university and at my part-time software engineering job. I went through a lot of stress and developed anxiety. I decided to go back to my hometown for holiday and do nothing to recover from this.

However, I'm unable to just sit and do nothing. A friend has an idea for an app, and I somehow got involved. I also started to compose another album. A couple of days ago, I was thinking of starting the reading I have to do for next semester (and almost did). My brain just keeps pointing at TODOs and "wouldn't it be nice" and "why not this" and I seem to not be able to help myself.

I have 20 more days here and would like to do nothing!
Spolski argues here that it was actually backwards: they weren't commoditizing their compliment, they were commoditizing their core:

https://www.joelonsoftware.com/2002/06/12/strategy-letter-v/

If you sell hardware the last thing you want to do is commoditize hardware, which is what a portable software strategy does. What you want is hardware lockin. Java was the opposite of that. Sun eventually had to be sold, but Microsoft didn't.
The voices sound pretty good, better than I expected. I “recognize” the female voice. It sounds a lot like somebody who I’ve heard read many New Yorker or Atlantic articles ether for Audm or the old Audible New Yorker service. I’ll try and find the readers name, but I’d bet anything she was used in the training.
Enoch is not a man. Enochion was the name of the famous third-eye that supposedly (if we believe the story in the book) existed in the pre-atlantian era of the super-giants, cyclopes, who peacefully co-existed with giant reptiles. The eye allowed them to see things thru, so it was called the eye of wisdom. As the civilization progressed and got immersed in sin, the visions that the eye saw became intolerable, and over time it had lost its function, depressed into the center of the brain and became hypophysis.
Kowlting gonya gut
You can overcome the starvation response caused by the lipostat with willpower if that's your point. Not many do. In fact, there's a registry of such people http://www.nwcr.ws/ . They report having to be diligent every day. They work out every day. They watch their calories. They can't relax about it. That's why it's so hard to succeed in the long run.

You don't seem persuadable, nor too interested in the science of the lipostat, so I'll just let you have the last word here.
I think a good reference is Apple's "retina" brand [1]. For a 27" monitor to be (basic) retina it must be 5K.
But yes, there are diminishing returns and resolution isn't everything (I've tried terrible 4K monitors...).

[1]: https://en.m.wikipedia.org/wiki/Retina_display
> "In the limit, they can make the web totally OS agnostic [...]"

A good thing, surely.
I had the same impression, do you know the name?
You are talking about JPA entities, javabeans are nothing more than objects managed by an application server (or nowadays without them as well with spring boot), whose instances can be queried and loaded dynamically. It is basically a huge map of strings to java objects, and objects range from database connections (which were then configured outside of the program, making configuration decoupled, e.g. at deployment one could even change connection pooling, database vendor, etc) to remote objects on another computer to ldap to.. well, anything.
Here are simpler definitions I think:

An AI system is General and “adult” level if it can improve its own performance on some task without human support to be taught how to do that. In other words, can it correctly decide when it needs practice (skill acquisition) vs knowledge acquisition (filling information gaps) on its own and figure out how to acquire that (or make clear, explicit, detailed, requests for what it needs from a human and maybe negotiate alternatives if the first ask isn’t available). Right now at best we have “baby” AI where we half to spoon feed it everything and the result is coherent but nonsensical speech. Even if we made it sensical though, that would fail the generality piece unless the AI could guide the human on what could be done to make it better (and level above that would be the AI exploring doing that on its own).

Can it correctly distinguish knowledge learned vs verified and figure out when learned knowledge should be ideally be verified to double-check the quality of the knowledge. In other words, can it acquire a skill it wasn’t programmed for from scratch without losing its ability to perform similarly on other tasks?

An example of a concrete problem would be can it go and analyze a bunch of academic papers looking for obvious fraud but also find when an entire field is based on unreproduced and shaky/conflicting results?

Of course, “AGI-Hard” problems can be solved in one of two ways. Humans building more and more capable AI systems that can chip away at problems or AGI systems building more general, smarter, faster AI systems. The whole dream of the singularity is that we build the latter because that basically builds a second intelligent life form we can converse with on some level (although of course we likely won’t be able to understand anything it tries to explain to us that’s sufficiently complex for the same reason humans can’t understand the chess moves that AI engines are making anymore).
What is the legal landscape here? Is it within Reddit's legal right to disallow OpenAI from using the data on its publicly facing site?
Send invoices and get paid without having a company
Also the reply gives reasonable time estimates: 20 years. I think this is about right as web apps clear dominance wouldn't be until roughly the mid 2010s anyway
Let's take 1000 people above 30 BMI and divide them between us. I give them my intervention of semaglutide and lifecycle changes; you give them your intervention of "work harder you lazy fatties."

I guarantee you an arbitrary amount of money my group will be >10% lighter than your group after 6 months.
> Lisp itself was a "basically designed overnight" language

Roughly "overnight" for six years:

http://jmc.stanford.edu/articles/lisp/lisp.pdf
Slack's private GitHub code repositories stolen over holidays
Would I as a 40 year old middle manager in Texas take a shot at living in rural central Europe for 4 months to work on ML for factory automation? Might feel lonely because I probably wouldn't move my family with me and take my kid out of school, but yes, that sounds like fun, like a great chapter in a life well lived.
Anecdotally, I recently switched from streaming 4k to physical 1080p content. It looks just as sharp, and has more presence, and is much more captivating for me.
"This is why nobody will allow you to wear stripes on television:"

This used to be cardinal rule in television broadcasting but it's much less a problem nowadays with the increased resolution/line rate of HD TV and video processing (filters) designed to eliminate it.

Nevertheless, whilst once discouraged, moiré was often a useful tool as camera and CCU (Camera Control Unit) operators would use it to focus an image—the more pronounced the moiré the sharper the camera's focus.

As bad as moiré is perceived a much greater cardinal 'sin' in both television broadcasting and photography is lateral inversion. This is where the image has been swapped in the horizontal direction (in some places it was a dismissible offence), as it's a complete distortion/misrepresentation of the image, which in some instances, may go undiscovered—there being no visual clues to indicate the problem.

Lateral inversion is very obvious when writing, street signs etc., appear backwards but for some reason it's very much less so when images of humans are involved. Despite the fact that laterally-inverted images put men's clothes on women and vice versa—as blouses, shitrts, coats and pants flies appear the wrong way around—few people seem to notice.

There's much evidence for this, one I often cite is that there are images from WWII on the US National Archive by the US Army Signal Corps that are still laterally inverted after 70-plus years that no one has bothered to correct (it's not a recent scanning error either as the Signal Corps logo (which is embedded within the photo) is not laterally inverted but the image content is).

BTW, laterally inverting a film image reduces the resolution as the negative or slide is no longer in the normal focus plane.
> How did it come to replace the period as the marker for the end of a sentence lol

FTFY
Hmmm, looks like one of those game-of-life-implemented-in-game-of-life things, set up in a way which simulates actual living cells on the 2nd level, including cell division.
> I also find it really sad that a lot of the small teams who are on the road to success get distracted by applying "best practices" that were built for big teams (e.g. Google uses kubernetes, we should too).

Principal-agent problem, i.e. conflicting goals. Sometimes it's the team vs. company, sometimes it's the team or a person against themselves. There are choices that are most beneficial for the current project, and there are choices that are most beneficial for one's career after the current project, and/or choices that are most interesting to the person.

So e.g. Kubernetes may be a total overkill for most things anyone does, but if I get around to doing some side project where Kubernetes would be a fit, even if rather poor, you can bet I'll at least try to use it, because it's highly likely I'll encounter it later at my current or future job. Now, this is just my side project, but then, many (most?) widely-used FLOSS software started as someone's side project.

And the same reasoning happens in companies big and small, as failing to keep your skills fresh is a recipe for trouble sooner or later, and the industry-standard approach to software developers' growth is "figure it out on your own, we're paying you for labor, not for your professional growth".
Try Noita. No idea how people discovered all the ways to complete all the quests in the game. See e.g. https://noita.wiki.gg/wiki/Sun_Quest_Guide

Same goes for Spelunky, or Caves of Qud, or nearly any modern roguelike/rogue-lite game.
>fire a bunch of people and are about to regret it because hiring is slow and costly.

Let me play the devil's advocate: Not if they manage to fire the low performers, bad hires, or those who are a poor fit actively hurting progress or those who are dead weight. Every big company has those people. It would be crazy to deny this fact. Especially in big companies where there's a disconnect between what's needed in the trenches and what the companies actually hire.

Some people have been poor hires that slipped through the hiring process. And some are just dead weight because they have nothing to do because they have been hired in the post Covid money printing boom with an insane growth in mind, growth which never happened last year and might not happen this year either (at least in most of Europe). Ultimately, every company has poor fits, so why keep them around?

I remember in one company, a project was getting delayed and they kept hiring more and more people thinking that would speed things up (you know, the classical have 9 pregnant women deliver a baby in one month joke), but the excessive hiring was actually leading to more delays, and an exec asked "how many more people should we hire to speed things up?" and my boss said "no, we gotta let some people go if you actually want to speed things up". We need to admit that some hires end up being dead weight or actively holding back progress so getting rid of them would actually improve things.

So, paying employees you don't need high six figure wages for a couple of slow years to sit around and do nothing just so you're prepared for the next money printing bull run is a poor unsustainable financial decision that no companies, other than those with massive war chests, like Google for example, can sustain.
Find the only emoji that isn’t moving
Isn't AGI-Hard everything that seems rather simple for animals? I would think just of robotics and navigation in unknown environment.

Everything else like Chess, Text, Art, Games seems to be solvable by current AI systems. Robotics seems much much more difficult.
High Performance Pancakeswap trading bots, created by a trader for traders! Feature rich and blazing fast trade entrys. Sandwich / Front Running Bot also in development
I believe, Javas impact on Windows can be felt most with Android. Android's development began in 2003 first as OS for digital cameras but they pivoted in 2004 to smart phones. At the same time, in 2003, Windows Mobile launched, which goes back to 2000 (Windows Pocket PC) and 1996 (Windows CE). Windows Smartphones were actually a thing used in practice before Android and iOS. Personally, I had a T-Mobile MDA II, for example. Impressive foresight by Bill Gates. "Only the paranoid survive" (Andy Grove) comes to mind.
The first example the author gives, adjusting language to the level of a student, does not seem unrealistic at all, provided there are examples of this in the training data.
Why not use react-native-web and target all three platforms at once?
"Shut up and take my money" material there for parents.
Time it properly. Pick the end of the year around December when things are slow. That knocks off a month. Save the vacation time to knock off 2 weeks in January. White knuckle it through February.

You have to try something.
Fair enough, but you don’t think that unique characteristic is enough to inspire the name of a character like Stephenson’s immortal wanderer Enoch Root?
This is me exactly. At 80 kg my thighs start bothering me when I sleep. Think 67-70 is my ideal.
Well, big companies are just paperclip optimizers without any moral feelings. Moral looking actions are just calculated profit-maximizings (e.g. putting out a rainbow flag will likely have better profits long term than not doing so in case of user-facing companies).
found https://utdemir.com/posts/ann-distributed-dataset.html , which makes me think that kind of distributed approach could be workable for channable (the default existing backend spins up lambda workers and stores intermediate results in S3), but you'd need to write a different backend that farms out work to whatever worker machines you have available
For HDR I think you need it. Tho Samsung doesn’t support HDR standard that Apple TV does which is seems the only solid HDR content source.
OK so who's gonna integrate this with pocketbase and maybe datasette too ? Set a standard, maybe.
Apparently there can be interference effects between two beams (4th order interference) so maybe such an effect could show up in this case. See Ghosh/Mandel 1987 "Observation of Nonclassical Effects in the Interference of Two Photons"
> Would you rather drive on a road where every other driver is an AI or on a road where the average driver is a fair selection of the current drivers?

Thing is, if the roads are made so that only "AI" cars can drive on them, you don't need AGI, or an advanced AI. You basically need the cars at the level they are now (or even from five years ago). Because the number of weird shit you need to deal with is reduced significantly.
> Similarly, I'd look very carefully at anybody…

Not everyone can afford to piss off a job because it doesn’t perfectly align with their moral compass.

All this talk about recession, unaffordable housing, tech layoffs and whatever else gets page views might make someone just a little hesitant to up and quit a job because the company is run by a raving lunatic.

Must be nice though to be in a position where you can create a class of undesirable peoples.
Yeah, definitely. I think a fascinating aspect of it is that each milestone seems to dwarf the previous ones, though.

Roughly 5 years ago it seemed amazing that you could search through Google Photos for "dog" and find all your dog pictures. That seems like such a minor milestone now, when you compare it to the way you can today generate amazing text & visual content matching a specific dog that you describe with a single sentence.
It's what they make it to be. If they make a better app, then the app will be better. If they neglect the app and focus on the website, the website will be better.
The OG Kindle with keyboard used to have text to speech too.

It was killed by publishers who wanted to charge separately for audiobooks.

If Apple has somehow managed to get the licensing for this, I might consider buying from Apple Books in the future.
SEEKING WORK | CET | Remote Senior Mobile & TV (Android and Flutter) engineer looking for work.

Creating high quality mobile & TV apps is my passion. Mobile architecture, clean code, SOLID principles, Unit and UI tests, CI/CD.

Skilled with Android, Android TV, Flutter, Firebase, MVVM, Kotlin, Jetpack.

Experience in agile environments, leading smaller teams, code reviews, pair programming, and mentoring.

Resume: https://drive.google.com/file/d/1823f4vX18r7QJGGhL2dIcFbZeIV...

Github: https://github.com/dinko7
Far more annoying, is when an expert is so mired in their professions dogma they lead those trusting them astray. The label "expert" is itself a counter to the skepticism and humility required to reliably maintain a grasp on reality.
Funny how all my "nerdy" friends love Gates now. I guess 100B$+ is enough to afford PR team that can convince public you are no longer "more evil than satan himself".
Do you mean oxymoron? Juxtaposition just means 'side by side'. Every sentence is by definition a juxtaposition of concepts.
4K for me is about gaming. The Series X can do 4k @120 fps (although most games do not play at this framerate). For me that's the main reason to go for a 4k TV.
I remember it as: "In a world without walls or fences, who needs Windows and Gates"
This is the equivalent of "My cousin can build me a website in a weekend. Why are you charging me so much Mr. software engineer?"
These are always written by property developers and owners, who are - for a good reason - really scared about the remote work trend.

They can keep offices empty only for so long before the costs start to mount and they need to lower prices or remodel to them into housing.
I'd be such a person, and I'd absolutely argue the tech even though admitting that it's fallible and makes mistakes. It's the gooey, grey, and fallible humans and justice system around the tech that needs improving. The sum of all the parts together (facial recognition tech and other things + human review + decent human beings) can be most certainly leaps and bounds more useful than those things in isolation and certainly better than if we didn't have such tech at our disposal.