skysight-inc/HackerNews huggingface dataset:
When I incorporated creatine into my morning routine, after just a week, I felt like a teenager again when exercising. It was a great motivator to continue to push myself, and I still haven't stopped seeing and feeling the impact.

Feeling more capable has driven me to do quite a few uncharacteristic things, lately. I'm not sure this counts as a direct benefit on brain health, but I've been made happier by it.
Indeed. Even a simple 'wc -l' type operation can benefit from SIMD [0]

[0]https://x.com/cloud11665/status/1799534538873290993
MG Search – MajorGeeks
I apportion blame a bit differently.

App makers (and mobile phone companies) are competitive marketplaces with alternatives. They're trying to find viable business models to fund feature development and make a profit. Can't fault them for that: users can pick another option.

Who I can fault is mobile OS/platform owners.

It's a duopoly, and they've repeatedly and strategically made user-hostile decisions that strip choice away from mobile device owners.

All of the ills you mentioned wouldn't be ills if OS features enabled user control of them.

Google is obviously the more egregious (user freedom features and need to boost quarterly profits are inversely related), but I don't think Apple would be taking a pro-privacy stance if it conflicted with their business model and they didn't see it as a strategic differentiator.
I said "If you look at the countries which deploy nuclear, they have/use mostly government run industries."

The nuclear industry in these countries is mostly owned and fullydirected by the government: electricity providers and companies selling&building nuclear powerplants.

Nuclear power is especially strong when central governments direct & pay for the the industry, which is far from a free market. China: authoritarian dictatorship with centrally planned economy. France: government owned. Japan: government directed, TEPCO rescued by the government.

Nuclear: big government. Centralized. State-owned monopolies.

Renewable energy: lots of energy producers, strong local ownership, distributed industry, distributed grid, markets for energy, ...
interesting...see this is why I although I find some of his work interesting I can't really get into it. I prefer fiction w/more visual descriptions that I can get immersed in.
From Apple website: "Apple Intelligence analyzes whether [the request] can be processed on device. If it needs greater computational capacity, it can draw on Private Cloud Compute, which will send only the data that is relevant to the task to be processed on Apple silicon servers. When requests are routed to Private Cloud Compute, data is not stored or made accessible to Apple, and is only used to fulfill the user’s requests."

Are there any more details on what exactly is being sent as context to the cloud?
Do they send features extracted from an image on device or the full picture?
Is it capable of only sending current pic or will on-device model select what it thinks is needed for context and many pictures and/or texts will be sent?
Effective education spending can reduce poverty and boost earnings
I'm running Windows 11 Home 23H2 22631.3737

No ads - like anywhere.
Yeah exactly. So if I'm editing text that is somehow quasi fixed width like a table cell but doesn't fit the classic vim definition of a word or a neatly delimited thing that I can use ci/ca with.

So for example this morning I was editing cells in a latex array. They are delimited by "&" and each one is some sort of equation that doesn't fit a normal vim word definition. R to the rescue. If I need more characters than are there in the cell then I go <esc>I to carry on but this morning, R was perfect.

I never toggle insert mode with an ins key because I got in the habit of using minimalist keyboards with weird custom mappings that didn't have that key (or not that readily available) often.
Solar Power's Giants Are Providing More Energy Than Big Oil
I find it can be nice to have an academic understanding of things you work with even if you don't have to develop it directly yourself.
In 10+ years of professional PHP development, the only time I've ever had to fix a codebase while updating the PHP version was when mcrypt was deprecated, and it was only around half an hour of work to replace it with a modern equivalent, including the time to re-encrypt the data.

Meanwhile, I've had the misfortune of inheriting a React application that would no longer build a mere six months after the original developer left the company. I've come to loath working on React projects due to the insane amount of library and tooling churn in that ecosystem.
I agree its unlikely, but none of that makes murder less likely / more difficult. Two easy ways to do that: either shoot him and then lock him in the car, or coerce him into suicide via blackmail (threaten to kill his family, threaten to plant child pornography on his property)
Dear SJWs, stop downvoting the parental post if you just don't know the mentioned substance is a really good local anesthetic with short but powerful effect and having close to zero post-effects after a singular use.
Do you have any stats on how many children are actually dying in these ways, and whether it is in fact disproportionately hurting the poor?

I have a hard time believing many children are dying in this way in the US today but I'm happy to be wrong and learn something new if there is real data there.
Same thing here, and I'm running Home (22631.3737). I turn most "things" off, but nothing insane and I don't see any ads.
Possibly relevant to readers' interests, so leaving these here.

digitalminimalism: https://www.reddit.com/r/digitalminimalism/

dumbphones: https://www.reddit.com/r/dumbphones/
Start with game jams. When you're constrained to make a complete game in 48/72 hours, suddenly you start to understand what's important and what's not. Granted, I haven't done any doors in my jam games yet =)
There are a lot of assumptions built into your statement that AI will “upset” most of the economy in 20 years. Impact? Sure. But your argument seems to be implying AGI will be achieved (at scale, no less) in 20 years. This is an extraordinary claim even if Altman likes to throw out 5 year timelines for AGI. Similar to how musk (who is also a VC not an engineer or scientist) has been saying self driving teslas were right around the corner for the last ~7 years.

AI today is not even close to replicating the brain’s ability to perform multiple tasks together without suddenly hallucinating a totally different task at multiple points in the project. LLMs are good at regurgitating text, I would hope so after they just memorized all available text data. I can feel the chill of the next AI winter right around the corner, personally.
http://archive.today/8VtXp
I needed to know what language that is written in. Turns out it's something called FOCAL, as mentioned in this article about the game:

https://retro365.blog/2021/12/02/bits-from-my-personal-colle...

Wikipedia on FOCAL:

https://en.wikipedia.org/wiki/FOCAL_(programming_language)
No.

The parent said that the quality control should be on the supplier, not Boeing. This is instead of a joint problem with Boeing validating.

Look at the repercussions.

Boeing gambled on shaving procurement oversight and lost.
On Android, the official Wikipedia app is surprisingly good at marking articles for offline reading, organizing them into collections, and downloading them, including related assets like images. When I'm traveling I install the app on my "travel phone" (which is Android / Google Fi) and take advantage of it along with Kindle app offline reading for Lonely Planet guides, and the Google Maps offline maps feature.
Escaping the 9-5
Agreed, understanding how a method works and how it would be done helps with developing an intuition for its limitations -- what it can and what it can't do
Would I use it? Probably once just out of curiosity.

Do I think I'll see it in my lifetime? Not a shot. The odds of someone gaining access to all the data in all the services I use/used have to be close to nil. Companies aren't going to give up their user data, that's their bread and butter. Each service will need to have custom extractors written, and likely rewritten in a never ending game of cat and mouse. That's even if you don't get sued for accessing their systems to extract their data they have on your user.

Then the storage required if you are able to get all the data. I requested my data from Apple a few years ago. It was something like 10GB of information. I assume shopping, social media, fitness, vehicle, mapping, etc. services have similar amounts of data on me. I wouldn't be surprised if the average digital identity has 1TB+ of data associated with it. Then, you have to normalize all the data. Each service is going to have the data in its own format with their own nuances that'll be a huge pain to get to a singular searchable format.
GenAI will indeed drop the cost of software creation and therefore increase demand for more software.

Things that formerly were prohibitively expensive are now cheap enough to be doable. Which increases the market for software engineers that can get things done with the help of AI and other tools. These won't be the type of software engineers that specialize in things that should be automated but the type of engineers that can build a lot of stuff that formerly would have required them to delegate a lot of work to other engineers.

This is how the software developer community has historically grown actually. It used to be that software engineers were faffing about with punch cards, assembly code, etc. Working months to produce a few kb worth of software. No libraries or anything. It all ran on bare metal. These days what engineers build is the tip of the iceberg because it all runs on frameworks, libraries, operating systems, etc. that do all of the heavy lifting. Which makes them way more productive than their colleagues from half a century ago.
You can sign up for the military in the USA at 17 with parental permission; you can't be sent overseas until you're 19 in that case (IIRC).
SEEKING WORK | Remote Immediately available to join data engineering teams. Location: Indore, India Remote: Yes Willing to relocate: Not now, but in future. Technologies: Databricks, Apache Spark, Apache Airflow, SQL, PySpark, Kafka, Python, Pytest Résumé/CV: https://www.linkedin.com/in/dmistri/ Email: devendramistri@gmail.com
Helplessness or powerlessness are very different feelings from uncanniness. I don't even think they're in the same direction of sensation.
> Two completely different approach.

Just semantics. In the end Apple has access to everything, like MS.
Grey Goo has evolved in many incarnations. First was "unicellular life" edition. Most recently the planet has been taken over by "humans".
I read a post some time ago that explained how that test came to be - It was created by Ryan Gosling of all people - and it's an incredible story inside an incredible story.

Not sure if this [1] is the post I read back in the day, so I hope it does explain the story correctly (Haven't read this one in particular, just googled for it). Then I thought "May be I picked that from Hacker news" [2] and [3] (May be you should go at these in reverse order)

[1] https://cohost.org/mcc/post/178201-the-baseline-scene
[2] https://news.ycombinator.com/item?id=35813595
[3] https://www.denofgeek.com/movies/blade-runner-2049-how-a-key...
You try to justify an invasion of Ukraine by explaining what Russia perceived as problems. Dude, we know Russia’s position on the matter: we don’t believe it is enough. Giving water to protestors, and the existence of Gunatanamo do not make Putin correct.
I wonder if this is doing basically the same thing as SORA/Kling, but with less compute/model size. It kind of reminds me of OpenAI's examples from their technical report: https://openai.com/index/video-generation-models-as-world-si...

Somewhere between "base compute" and "4x compute".

So maybe you "just" need to know how to create a certain type of diffusion transformer model and then train on a ton of videos, but with an adequate amount of compute. Which is probably a LOT for training and inference to get more realistic results.
> If you expand the time frame to 10-20 years, then AI is poised to become something that truly upsets most of the economy. Obviously, nothing can be said for certain, there could be black swan events, etc. But on the current trajectory [...]

This is an interesting framing that I think exposes a key difference between people who view AI dominance as inevitable and those who don't. You view the progress of AI slowing down as a black swan event, something that's extremely unlikely. I, on the other hand, view it as inevitable.

Technology has never progressed along a single axis linearly or exponentially for very long. Technology progresses in bursts—there's a major breakthrough that leads to a huge amount of interest and progress which leads to rapid growth in a particular area until it saturates. After a few years we start to see diminishing returns as the area opened by the breakthrough becomes fully explored, and eventually progress becomes very slow indeed until the next major breakthrough.

Given this general pattern of progress in technology, it would be very foolish indeed to predict the next 20 years' trajectory of AI less than 2 years after ChatGPT was released.
> but I put everything in my phone

Same here. After using even the original iPhone for a few months I started describing using it like being a cyborg. My pocket cybernetic tool let me actually (usefully) keep my calendar with me, gave me real access to my email, and let me look up random bits of data wherever I was (modulo Cingular/AT&T's shitty EDGE service). It's only gained more capabilities as time has gone on.

I have zero social media apps and disable pretty much all notifications. My phone is a digital brain extension and reading device. I'll take pictures of random crap or where I parked to augment memory.

Phones do not have to just be dopamine distribution devices.
Thanks for the link. I'll definitely watch it this weekend.
A longtime source of puzzlement for me: why pose this question here in the hope of getting an answer when you can ask/type it into Google and instantly get one?

Not being snarky; I finally realized that for some people, an exchange with a real person here is superior to an interaction with an AI.
The high was between 2006 and 2011 (including both years). Interestingly it started way before the financial crises, when the interest rates were still high. The with the cheap money as the interest rates were declining year over year the bankruptcy rates were declining as well. A common understand of this is, because companies that were on a decline anyways could live longer because they were able to borrow cheap money. But this didn't really helped the companies to reinvent themselves it helped them to stay afloat. But at one point, they cannot live anymore.

So finally it is some kind of a cleanup. But it doesn't mean that the bankruptcy numbers soar.

Try to take a look into the startup arena. Does the number of bankruptcies in startups soar, because the time of cheap money is over? Or is it more that the numbers are coming back into a normal level and in the last years of cheap money, it was too easy to keep companies afloat, which never really had a sustainable business model.
Another literal answer to this question - spark testing. Take a sample to a grinder/belt sander and observe the sparks coming off - fairly crude, but you should be able to tell the difference between aluminum (no sparks), steel (mostly orange-ish) and titanium (white)[0]. That's really only enough to tell you the general material type though - the alloy and temper are also extremely important, as others in this comment chain have said.

[0] - https://youtu.be/GnSBSKTC834?t=504 - not super happy with this video for a quick overview to provide to people, but this timestamp does cover this specific discussion; if I find a different video that covers the differences more broadly, I'll link it here.
I want to add to point 3)

German's pay a lot of taxes. Living costs and rent are sky high in cities. In the past, I reduced my hours to 28 hours a week because the difference was negligible in taxes paid. I even got money from the government to pay rent because my wage was lower.

There is a real problem where between salary band's, the money after taxes does not change significantly even if you're paid more. Working half a day only is incredibly popular for these reasons (among others). It's gone so far that politicans from all sides are publicly thinking about erasing the possibility for halftime work.
Wren looked interesting: https://wren.io/
4: better photo and video filters

From what I understand, such gimmicks are (almost) essential utilities for many.

It also is possible that small improvements in intelligence will drive sales. For example, I don’t see much use for generating entire novels on-device, but good autocorrect and prediction of a few words may drive sales. I also like the automated tagging that iOS already does on photos.

Also, even if the new features only make people upgrade a few months earlier, that will be serious amounts of money for Apple.
People wouldn't have had those issues had it not been for COVID.

So how do you phrase it? Enlighten us without making us laugh.

As someone put it earlier: it would be stupid to say "a gun is a lethal weapon only to someone who's been lethally shot".
https://knowyourmeme.com/memes/touch-grass
I wonder if this works for braking in automobiles to minimize brake pad wear.
OP here. One interesting thing about FOCAL is that * has higher precedence than /. So in Lunar Lander, M*G/Z*K is what mathematicians and other languages would write M*G/(Z*K). I did a double take when I first saw that. :) As the Wikipedia article says, "This can cause subtle errors when converting FOCAL source code to other systems."

Also, the IF syntax is a little limiting and hard to read, although I suppose programmers would get used to it.
Answer I: Real-world materials are vastly more complex than "it's titanium, or it's not". Not that our craptastic modern educational system teaches such things, unless you're taking specialized engineering courses or technical training. For a skim, see: https://en.wikipedia.org/wiki/Metallurgy

Answer II: In theory, the headline should have said something like "Components which had falsified documentation to assert that they fully complied with Aerospace Engineering Specifications [long list of cryptic technical specification codes here] for Titanium...". But, outside of Ph.D.-authored articles in the (fake name) Journal of Aerospace Engineering Research, that's not how mass-market modern journalism works.
gate kept OS-level integration is one thing, companies that won't push data to it is another. I fully expect facebook/messenger to not support intents/siri/shortcuts/etc
Same for discord and any other social media platform right now.
Things that look like snakes like those weird mimic moths or a coiled garden hose in tall grass can also trigger that uncanny feeling to me. I suspect serpent recognition is coded into many animals at a very deep level, and anything that trips that recognition will seem uncanny.
Quite easily: the stock market is not the economy. In many cases they have absolutely no relationship to each other.
LVT satisfies the categorical imperative. If I didn't know whether I'd be born as a landless serf (very high chance) or born to inherit wealth (low chance), then I should prefer to be born into a society with an LVT, since the LVT distributes the land rent to everyone.
As a web developer who now is increasingly coding in python.. I sympathize with this but frankly google colab is way more accessible to me than other options. Jupyter notebook is good because it provides a quick feedback loop. Google colab is needed by a beginner like me because they have taken care of all the pytorch / cuda set up. The tutorials I access online use it so it's not easy to find a different way. All the quick and easy tutorials only demonstrate using google colab (or some other similar alternative).

I messed around with paperspace for a while, but I could not get detectron2 working in it so I went back to google colab. And my ML projects, that I have ambitions to become production apps, are still toys so for now the quick and dirty notebook will have to do. But yes, I prefer to be in my element in a traditional IDE, pushing to git, tabbing between files. I certainly have > 10 years of experience doing that, but not really for ML projects if that makes sense.
Drones, AI technology may help stop rising shark attacks in Australia
I'm writing a book about building mobile apps[1]. I've worked on it for over two years (I have a day job). When I started taking preorders, it coincided with the AI gold rush. I thought, "Fark, now people can just use AI instead of reading my book". But my sales are actually quite good (for a nobody).

Thankfully, AI is still not there yet to make "professional" (as most people would define it) apps—unless maybe when people start feeding my book contents into GenAI, ha! (I guess it's a compliment?)

Also, AI is like DB. Sure, you can use DBeaver or something to access it "raw", but 90% of us programmers are still hired to write a CRUD wrapper. Same thing with AI. It's more useful to have an app supercharged with AI wherever it makes sense.

[1] https://opinionatedlaunch.com
The biggest hurdle is cost. The batteries cost a lot and so they throw in a bunch of tech and other premium features to make the cost appealing to the larger market.

The next biggest issue is regulation. Depending on jurisdiction, it's likely that things from backup cameras to autobraking and more are required or will be shortly. Even drowsy driver and drunk driver protections are already in laws/regs for future adoption.
https://archive.ph/EkUPn
"It Could Be Worse" is the absolute worst apologist argument, for anything. Please never excuse something bad, because you can imagine, or see somewhere else something even worse.
That’s a fair point! Exactly what my brother pointed out when he called it the “god app”.

However, this isn’t intended to be the “ultimate” app with your entire digital footprint logged to a database. It’s supposed to have a few meaningful connectors to services that people would actually be interested in. And a lot of these services offer public APIs as well (Spotify, Omnivore, Strava). Plus, browser history and local files (like markdown notes) are easy to access.

Do you think this reduced scope would be of any interest to you?
I'd really like to see a careful compiler like Rust have a "fast and loose" mode for the development loop, whereby I swear on my mother's grave that I won't break any rules, and the compiler in turn stops making expensive checks.

This would of course be for development only, not for releasing.
Surprised at this. I love the gym, its the only place I can go and just turn off the rest of the world. Everything goes away. Its just me and the weights. If I fail or succeed, its all on me. Headphones on, music up.

I set myself goals at the gym and then just work towards beating them, my only competition is me.

Used to go religiously before I had kids and then once I had them, stopped going for probably 10 years. Started again a couple years ago and my entire demeanor has changed. I'm calmer, and better able to deal with the stress of life. Nice thing is your body remembers and my strength came back quickly, I'm 45 and the strongest I have ever been.

I feel like myself again. Makes me a better father and husband.
OpenAI servers will be used only when specifically instructed by the user, never automatically.
Try again! (to hit that PR)

Some weeks you'll have the right combo, some weeks you won't. But my general approach is to work toward a PR of some sort every 6 weeks or so. I don't always get there, but, I keep trying!