skysight-inc/HackerNews huggingface dataset:
Not having a long-term plan and focusing on short-term patterns is fundamentally wrong. You won't only hit the plateau but will be stuck there unless you relearn chess the right bias-free way.
> or a large language model can be fun, and playful communities have sprung up around these subsidized, free-to-use tools

I expect better from Doctorow, who has long advocated for people taking personal control of technology.

The cool thing about this generation of AI is that you can run it on home, or even on your phone. A $3000 MacBook (yes, expensive) can run a useful voice controlled AI that can do a lot of cool stuff. Image generation models also run locally, and there has been an explosion of tools, running on people's PCs, that allow for entire new creative workflows.

Is the training subsidized? Yes, it is. However finetuning is crowd sourced, and again we find ourselves in a new field where anyone who wants to can quickly get up to speed and make serious real contributions.

He later degradates the "small" models, ignoring that Mistral's latest release is powerful, people can run models that approach GPT 3.5 (which is incredibly useful!) Powerful voice recognition, the type only dreamed about a decade ago, is now available for everyone. The image generation models that are available for personal use are incredibly powerful.

Research papers are coming out left and right about how to do video generation. Models are getting cheaper to run all the time, and we are exactly 1 (hard fought...) manufacturing node improvement away from this stuff being usable on affordable home machines.

> But with AIs’ tendency to “hallucinate” and confabulate, there’s an increasing recognition that these AI judgments require a “human in the loop” to carefully review their judgments.

FFS people hallucinate things that aren't there. Every time a human accesses a memory in their brain the memory gets altered a little bit. Fact checking exists for a reason.

> AI companies are implicitly betting that their customers will buy AI for highly consequential automation

How about 10xing current employees?

OpenAI is doing a terrible job of capturing the value it provides. Heck most people are doing a terrible job of utilizing AI in their day to day, versus what they could be doing.

> All the big, exciting uses for AI are either low-dollar (helping kids cheat on their homework, generating stock art for bottom-feeding publications) or high-stakes and fault-intolerant (self-driving cars, radiology, hiring, etc.).

"Take these 10 PowerPoint slide decks, extract the graphs we used in last quarter's summary report, and bring all the chart styles into alignment with our corporate branding".

"Go through these last 5 years of corporate financial filings and highlight any areas of business that you think the company is trying to cover up and obfuscate".

"Add error checking and retry logic to this shell script, as well as output logging when an error occurs"

"Write a mock for this object"

"The explanation by teacher gave of how to integrate a sine wave didn't make sense, can you provide an alternate explanation?"
The differences between TinyGo and Go are vast compared to “C vs ANSI C” though.
I think most of the "post-COVID" pains are actually much worse because they come from culture and macro-economic consequences, aka "chickens come home to roost".

There seems to be general feeling that stealing stuff and robing people are only bad if you get caught and even when you get caught the are little to no consequences. Forgetting the politicization of this for a while, this type of stuff is one of the worse cancers for society, even if "nobody says nothing", they know and think and they will vote with their feet. Detroit type situations are not really that far for some cities. I don't think this applies to NYC but I wouldn't bet my life on it.
It's entirely possible that you aren't missing anything, that you aren't cut out for this kind of living. But many people are and find it highly desirable, many millions more than can currently afford to live here.

Also, I moved here for a job at a FANG. This is a top tier tech city, with salaries matched only by the Bay Area and Seattle. Compared to those other two I find NYC obviously superior.
Maybe you're missing the 'Uranus axis of rotation is super tilted' part? Its equatorial plane (along with its rings) is not at all 'parallel' to the ecliptic, that's what the toplevel comment is pointing out.

https://en.wikipedia.org/wiki/Uranus#Axial_tilt
Is it called a bubble because your industry attracts the most scammers or the dumbest investors?
Is there documentation about how to get started with at-spi somewhere that I just haven't been able to find online?

https://wiki.linuxfoundation.org/accessibility/atk/at-spi/st... exists, but is fairly unapproachable and it's not clear to me as a developer where I would start if I was trying to either build an application that hooked into at-spi or to set up automated tests for at-spi events on my own software.

The common advice is always "use a graphical toolkit", but let's say I'm stepping outside of a toolkit like GTK and I'm building something smaller, or let's say that I want to build a toy screenreader of my own. I've had an awful time trying to find documentation about this stuff.
Open-Source Chip Design Takes Hold in Silicon Valley. Firms Invest in RISC-V
It's a good thing the US is no longer the only space agency sending out probes into the solar system. Sadly, the reach of the US does extend into the other agencies in a pretty influential way though
I thought the point of ATLAS wasn't the idea that automagical tuning was going to necessarily be best. Rather that it was expensive to [edit hand tune] for all the hardware variations that were around and this was a practical approach to get to pretty damn good even if nobody had spent the money to produce a hand optimized library for your hardware (or, they had, but you didn't want to pay what they were asking).

e.g. I remember vaguely people using it on AMD cpus because they couldn't use icc/mkl effectively...
So you had a glorious 2kW work light for a few minutes.
I also know a man who was born without a left hand. He said he never needed it anyway and wondered how people found that annoying thing useful.
https://archive.is/ilsou
This is true when housing demand is controlled entirely by how many people live in the area. However, large metro hubs like NYC and London have a larger percentage of the housing supply consumed by rich people who buy part-time housing so they have somewhere nice to crash when they visit once in a while, or so they have somewhere nice for tourists to crash where they can make money off Airbnb. In that context, net emigration does not necessarily rule out a tight housing supply.
There is a reason the stereotypical image of these guys is them chainsmoking, doing copious amount of drugs (to take the edge off), and throwing themselves out of high places.

Work happening "successfully" and people making money doesn't mean it's the most efficient or healthy way of working. I am happy to throw a % or two of productivity in the short term if my workers don't burn out in the long term.

Luckily, research clearly shows that the most successful work and the happiest employees happen in quiet places with deep focus.
I think it's just less 'taxpayers'. I suspect there are numerous 'digital nomads' coming and going. The middle class is fleeing, and retail vacancies are expanding.
Turquoise taillights tell you this Mercedes is driving autonomously
Supply and demand.

At one point there should be enough supply that AirBnB will bring too little profit for people to be bothered.

Things like AirBnB work precisely because the supply is constrained.
Many-Worlds? Or does that fall under #2 for you?
Those programmers just don't get that they are part of a managerial Broadway musical. They won't even talk, and if they do not talk, how can they siiing.

Chat gpt write me a musical about micro management in software in 3 acts.
Just want to add, that comparing to postgresql is a very modern view. There were other databases, not popular today, but quite popular back in the day. To name a few: DB2, InterBase, Firebird, Paradox, Access, SQL Server Compact. MySQL was a really shitty database in early 2000s, still THE most popular.
I am trying to figure why I have a problem relating?

Maybe I am just wired in the wrong way.

But maybe it is only after the "we" that you figure out what you really like doing? And the more "we" the more things you will find?

Some times you just have to make a move to get somewhere - anywhere.

It is difficult just finding things you love out of a vacuum.
Thanks for the feedback, we're still iterating on the homepage and didn't expect to get posted here yet!

Our repo https://github.com/plasmicapp/plasmic might be a bit more concrete.

It's a visual page builder that integrates with React codebases. Content management is our biggest use case - i.e., dev team integrates with Plasmic, and then marketing/content/design teams can create landing pages on the marketing site.

(A newer use case is building applications as well, hence some of the comparisons with Retool etc. There's actually quite a bit of overlap between these use cases, esp. when considering external-facing "customer portal"-style applications.)
"A person born in 1980s may be more used to 24/7 noise"

"1977 edition human" (born in 1977 for those who didn't grasp my turn-a-phrase. I hope that's close enough to 1980)

And I'm not used to constant noise. So, no.
It seems worth looking into what section of the population (either in terms of age or marital status or number of children or education or salary or whatnot) is moving out of NYC. For example, NYC still ranks at the top of where college graduates apply to [0].

[0] https://joinhandshake.com/blog/employers/where-are-college-s...
I don't learn as much about commenters over time as I'd like to. I'd like to know comments on the page are from people I have consistently good or consistently bad experiences with. (Diving in some, this is explicitly less about total votes for a person (which is biased by who posts the most) and is more about specific moments where I see something really brilliant and striking or something really bitter and crass.)

I'd also like forgiveness. I get rate limited for some perceived incivility & that's it, years down the road I'm still rate limited. Only the bad things weigh against us. I got told on a previous account there were warnings against me (mainly for defending the web against some really nasty mean people, trying to keep some spark akindle, imo), but 2 out of 3 had been 4+ years ago. And I still felt wronged by the warnings in the first place, that I was fighting monstrous cruel negativity, trying to allow some good in. It feels absurd that the bad is allowed to keep adding up forever but the good counts for nothing; we need some forces beyond just the fall to move us.
Seinfeld is one of the greatest shows of all time. You’d seriously be depriving yourself by not watching it.
Specially TÜV. Means near nothing.
My interpretation is that the nokens are novel (un-coined) coordinates in a categorized zone of the vector field. Future linguistics will plant their flag in noken territory as we need new words. This already happened with “noken”!

Noken-space is all the undefined territory full of noise equivalent to the actual visual noise we see in Stable Diffusion when you travel along a vector away from an island of coherence. To put it poetically, concept space is a vast hyperspace sea of random garbage (like unallocated RAM) and there are tiny islands or planets of meaning and value that look like things that matter to humanity.

I don’t see the categorizations as being very bizarre. Putting on my amateur anthropology hat, each one described in the paper was clearly an important topic to a “primitive” person. Concerned with survival, people would talk about group dynamics, sharp things, plants/animals, things that look like infections (small flat round yellow white), and places. These are pretty much all you need to talk about.

Looking at an English LLM vector space to understand fundamental principles of language is like looking at human DNA and trying to understand the first eukaryotes. It’s been complicated by effectively infinite generations of specializations adding noise.

The probing work described here identifies some common principles that survive through the generations. A commenter above wondered if this was discovering something about the nature of the brain. I think it’s the nature of culture. Etymology is the product of culture and history.
Truest is a problematic word in this stuff, JW as you say doesn't even see the visible spectrum, and I don't find it helpful to ask for the least-inspiring fiction of those available.

Arguably there is no "true" translation; the point of JW capturing what spectrum it does, is to reveal features obscured or invisible in the visible spectrum.

Over the years I have come to reject the "what would the plain eye see" position as not helpful. We're tool-using monkeys and the phones we carry around now run supercomputers to quietly show not what the plain eye sees but something which works better for our needs—to be both evocative and information-rich.

If and when we ever get a chance to gaze on Uranus ourselves, I myself imagine and hope it will be courtesy of some transformation of our embodiment that will look an order richer than even the most stylized images we have today, because they will be broad spectrum and be overlayed with semantic content rendered as perceptual to aid our executive functions... all of which will probably be running on some computation substrate other than our monkey mammal selves. Space isn't kind to those.
Where would the new housing go? They should focus on building fast train links into the city.
I just tried their API mistral-medium model for some coding prompts that failed miserably on anything other than gpt-4 and it handled them well. Just anecdotal, didn't so any proper benchmarking.

IIUC their open Mixtral 8x7 maps to the mistral-small model (which while impressive is still behind gpt-4).

I guess they want to keep their best model behind the API for now.

Anyway, I second that Mistral does stand a good chance to compete with openai
covid spread through kids like wildfire, often via asymptomatic infections which then spread to, and killed, elderly who just wanted to see their grandkids.

The amount of pushback these measures got, when we were literally just trying to save lives and prevent disability through long covid absolutely staggers the mind and erodes my faith in humanity.
It is from the submitter. I think it is intended as a submission statement.
GPU-Powered KNN Ground Truth DataSet Generator for Vector Search
Obviously they should have sent cat memes in 1977.
Bricmont does a good job of discussing entropy, arrow-of-time, and irreversibility, information and probability in a purely classical statistical mechanics setting in https://arxiv.org/abs/chao-dyn/9603009 .

Bricmont has continued to write/expound upon these ideas ever since and more recently "come out" as a non-local hidden variables proponent of the de Broglie/Bohm variety which rejects your (1. locality) for which you left out an example. :-)

Sometimes people refer to giving up "locality" in this context with the mouthful "a preferred fundamental foliation of spacetime". { "fundamental" here does the work to block the Cosmic Microwave Background / "average rest frame" which people have no trouble treating as a preferred inertial reference frame that is "merely contingent" not "fundamental", although Ernst Mach might have begged to differ, but that is further afield. :-) }
I hate to evoke the spirit of Todd, but in a lot of ways HN just works. Sure it's a bit rough, but there are all sorts of little extensions or whatever that fill the gaps. I also think there's a value in not having a lot of features, because that tends to draw people who don't know how to make or use existing alternative sources of those features.
> I don't like losing, I want to always win. That's why I don't play.

Successful people fail often. Failures fail only once.

If you want success, make failure part of your DNA.
The one time I had a heavy dev job (I mostly take sysadmin type roles) in an open floorplan, I ended up buying a motorcycle helmet with built in audio to isolate myself from distractions...it was mostly gregarious sporty (it was a sporting goods company), young people (I was the second oldest at the company at 32).

I was not well-liked at that job and was happy when they let me go.
That 500MB almost entirely the runtime, which is shared across apps.
youre missing the point. you need to remove as many variables as possible when benchmarking because benchmarks are always relative to each other.

in absolute terms testing is required on a standard config, but benchmarks should mostly be conducted with a minimum of external variants if you want to draw meaningful conclusions
Could that ever really help? The vast majority of devices do this correctly, even from the cheap, nameless manufacturers cranking stuff out for sale in marginal retail outlets. I suspect even if there was some sort of legislation or accountability that this particular culprit would have pulled the same stunt. They'd have relied on the fact that it's difficult to track down who manufactured the item, that there'd be little incentive to do so by anyone who became aware of it, and that they'd be safe from repercussions across some international border.

I think your initial instinct is right.
Cities are for the very rich and single people as far as I can tell. My guess is they are in those buckets. If not then they are the type of person that craves culture and finds anything outside of NYC culturally wanting. Part of it is also media indoctrination their whole life saying NYC is the center of the universe, and they feel a thrill being even a small part of that.
Depends on which embedded toolchain we are talking about.
Depends on what they're working in. A certified plumber, electrician, furnace/gas, HVAC specialist, all command market rates set by tgeir associations. Tilelayers, bricklayers, carpenters and cabinet makers also have set rates. There isn't much left that's unregulated, perhaps framing, drywall/plaster, hardwood/vinyl flooring, painting and landscaping.
Deadline Driven Development is foolish. Deadlines are good to have, but you cannot force good functioning software if more time is needed to craft it. You get what you pay for, you reap what you sow. If you just want to churn out code in unrealistic time spans instead of extended efforts, you're going to get a bad product. Instead, cut things that can come out later, have developers focus on polish. I would rather a very stable and polished MVP over a rushed dumpster fire as a dev an end-user who has seen some awful.
My question with these WYSIWYG editors is always how maintainable is the code they output?

I have no problem using these on smaller projects that are fairly static, but on more complex things it has always felt to me like the time you save by using a tool like this, you end up losing when you want to do something not supported by the tool and you have to hack through the spaghetti code it outputs.

Can anyone speak to the quality of the code that Plasmic puts out?
Active noise cancellation is said to be improving, but it’s hard to go wrong with a big hunk of plastic if you can find a comfortable pair of closed-back circumaural phones. I’ve gone through about three pairs of HD 280. A former colleague would wear the same ear pro he uses at the gun range.
Uber is weird.

On one hand, it destroyed the livelihoods of many people. On the other, it made ordering a taxi so easy that a lot of people stopped driving home from parties drunk.

Uber has also made getting around in a lot of cities much safer. I've gotten into taxi's with drunk drivers before (seriously wtf), not a problem with Uber, or at least not for very long. (When I reported the drunk taxi driver, turns out the medallion owner wasn't working that night and had lent his cab to someone else, there was not trace of my ride or of the driver...)
Fixed formatting of the last part:

> - Be a kid. Don't overthink it. It's just a game after all. Feel it.

> - Play as many games as possible. You can quickly get enough volume with bullet and blitz.

> - Get feedback. You're able to give yourself decent feedback most of the time. Quickly analyze your games yourself or check them with someone, who can tell you what mistakes you have made at your level. Only afterward compare your thoughts to engine suggestions. Pay attention to the moves that drop the evaluation by more than (1, 2, 3, 4) points, depending on your level.
You are not missing anything. It would have been great if it was cheap (as in dirt cheap) then young people could use the city as a recreation/career building center before moving to something else. Or at least that's what the city was and some cities today are.

Today, it's mostly a playground for the very rich to park their money in cement because they cannot make up their mind about trusting the government.
Bugs and unintentional design deficiencies get zero story points at my job. It's actually something I fought for because it's faux-progress - it's work that's actually a part of the original (likely underestimated) story someone already earned points for.
To Infinity and Just over the Atlantic
Pasta Carbonara Is Still Tearing Us Apart
I think the restaurant should just add "No substitutions" rather than taking it off the menu.
A /bestcomments variation with curating features like following and muting.
I am an extremely inexperienced GM (only played a few times, and never as a non-GM), but believe me, GMing for one's own kids is a very (a) stressing (at least in the beginning) and (b) rewarding experience. I look forward to doing it again!
I always think of “The Hair Dryer Incident.” Great story
depends on the neighborhood. i suspect low bids are not possible in the west village or Williamsburg
Given that the population declined, without much evidence of housing being destroyed en-mass, it seems the problem is actually that people weren't coupling up during COVID – presumably because dating is hard during pandemic lockdowns and distancing measures – leaving more single people trying to find their own places. Those singles finding out there there is no longer enough housing for them is just a side effect.
So your company did a rewrite using platform X? Interesting. I think being in that situation requires a bit of luck. Many companies (understandably) don’t want to or can’t afford to rewrite their legacy code.

I still don’t see how learning a platform on your own got you past HR resume screening. Learning something via a side project over a couple of weeks is hardly the same thing as having multiple years of professional experience already.

Are connections always important for getting a new position? I doubt that a doctor needs to already know somebody at a hospital in order to get an interview … but I could be wrong about that, I guess.

Age matters because someone just out of college probably at least did their internship in whatever platform is popular right now. They also will probably accept lower pay and worse working conditions. So the older worker has little or even negative advantage if they’ve been using the “wrong” platform in their recent job and don’t have a strong personal network.
It is easier to deal with all the issues separately. First your algo (in single thread), then threading, then memory accesses and cache effects. After you sort everything in your control, you try to deal with the real world (like counting only “real” cores, ignoring/or enjoying hyperthreads, OS scheduling, but most of these are quite unpredictable, and if you get your code run faster in 12700k, the same setting will be slower on, say, 5800X or on server machines, while basic stuff speeds up the program on any hardware).