skysight-inc/HackerNews huggingface dataset:
Exactly. I’d imagine this is a major reason why Google hasn’t gone to market with this already.

ChatGPT is amazing but shouldn’t be available to the general public. I’d expect a startup like OpenAI to be pumping this, but Microsoft is irresponsible for putting this out in front the of general public.
Performance. Vendors will literally go in and hack the shaders for major titles. Also, drivers have bugs.

GPUs will never be outperformed by a CPU with wider SIMD. Intel learned that the hard way with Larrabee. They are on a different place on the pareto front.
Teams is so horrific we banned it. If you force us to use teams you'll have to find another supplier. Seriously, it is incomprehensible that Microsoft would ship something so utterly broken. I know they don't have a reputation for writing good software but Teams is on another level, and I don't mean that in a positive way. I've really tried to get it to work but it is so messed up that I don't think it can be done. Meanwhile, even Zoom 'mostly works' (though we don't use that either). Eventually we standardized on Google 'meet', it works most of the time, we had a single issue in four years of intensive work and that was mostly related to a Google meet Chromebox auto-updating in the middle of a meeting (brilliant) and then never coming back up again. It serves well as a small PC now, we cancelled our subscription and just use laptops and desktops with webcams.

What really bothers me about all this: we had the basics of these setups working in 1995, and since then enough time has past that this should be a complete non-issue. But there is no interop between the various systems, everybody tries to push their own little walled garden and it breaks randomly for no apparent reason. If the phone system had been built like this we'd still be living in a disconnected world.
I think the core problem of the anthropomorphization is calling it AI; intelligence is something usually assigned to humans, so people expect it to replace/substitute a human. So instead of thinking this technology augments existing workflows, they think it will replace it. Sure, animals can be intelligent but AI/AGI/ASI is all human-centric based around a human-baseline. I don't honestly know what it should be called, but I don't think it should be AI.

Maybe I'm wrong honestly. Maybe not anthropomorphizing something is impossible for humans (stick a pair of eyes and a mouth on anything and a person would probably give it a name). I guess people _expect_ AI to replace a human in a given role, but the reality is that they will augment existing workflows, e.g. instead of replacing a digital artist, it would be used to spark creativity and basically eliminate creative blocks.
> It's a bunch of word salad either saying nothing

This is demonstrably not true. It's saying quite a bit, yes it's rather PR-speak like, but that's how it's been trained.

> And as anyone who's ever had to train anyone can tell you, looking over someone else's work constantly doesn't exactly help you get anything done

WTF? I think the way you are thinking about this seems fundamentally bogged down by cynicism. Proof reading an article written for you is far, far speedier than writing it yourself. That's why newspaper editors a) edit, b) get someone to write for them to edit. I can review a PR far more quickly than writing the code.

> I'm perfectly capable of making mistakes on my own, thanks

But now I don't need to pay you to make mistakes, GPT will make them instead and whoever was checking on your mistakes is still useful.

> Give me a GPT I can train myself to eventual competency and maybe it'll pay dividends, but that doesn't realistically exist today.

And GPT didn't exist in the wild last year. You have just admitted this is WIP, and I see no reason not to expect progress will continue. Maybe one day we'll all have personally trained AI models that live through our whole lives with us. They'll be able to give personal life advice, around to bounce ideas off of, help you remember everything. I mean it's trivial to find revolutionary use cases for this tech. The only question is "is it possible or is there a hard wall in front of us?" I am yet to be convinced there is anything standing in the way and billions of dollars is backing that up right now.

Honestly GPT here has more insight than you do, I think that's miraculous.
>Comprehension requires deriving meaning, and GPT doesn't engage with meaning at all. It predicts which word is most likely to come next in a sequence, but that's it.

Why think that "engaging with meaning" is not in the solution-space of predicting the next token? What concept of meaning are you using?
I've gone just the opposite. The ability for me to ask my own questions has impressed me more than the articles. In part because articles always hype up technology in a crazy way. This is the first technology since -- probably the Apple iPhone touchscreen where I'm like, "this is better than they hype seemed to convey".

I think the goalposts have moved greatly though. Just a couple of years ago, most lay tech folks would've laughed you out the room if you suggested this could be done. The summarized answers by Bing and Google are relics comparitatively.
No it’s not. I work remotely. I am on slack and zoom 3-4 hours a day. It’s basically my virtual office.

Imagine if there was a company policy that made your office annoyingly uncomfortable after it was totally fine before. Is it extreme to consider other options?
You don't get it. You are entitled to nothing more than it says in the contract. There are ways to get more performance out of people but you have to decide if you need it and have to chose to do it. We can struggle and share the victory over a deadline or you can have those dumb shits put in some overtime and hope you will make it. You get to be whoever you want to be.
Oh cool! That language is so fun to use, thank you for writing and maintaining it!
I thought it would be silly or I would hate it, but the comic sans like nature of Fantasque Sans Mono really surprised me and worked well for coding/IDE use (especially in Python): https://github.com/belluzj/fantasque-sans
Unfortunately since this is from 2015, it does not seem everything is still accurate. For example his demo of a list walk with match:
https://play.rust-lang.org/?gist=613e13fd515bfca647ca&versio...

Seems to compile just fine even with the edition set to 2015.
How about they actually do some improvements with their search so that I don't have to reach for chatgpt when i don't feel like sifting through link after link of SEO spam and all other garbage and ads
I feel the same way, I lost amazing engineers to this weird typing obsession.

Excessive typing is very costly and should be left to popular libraries that solve generic problems. This is where you get best bang for buck.

It should not be present in your business code, high level business logic is rarely prone to type errors anyway.

Static typing was always a means to an end, but unfortunately it was recently sold as a virtue and many people have bought it.
> Most hospitals are already losing money or close to losing money. Taking away profit motive from them e.g. by subsidizing operation would only increase cost of care, because the incentive to run lean/efficiently goes away.

This comes up in every thread about healthcare and it's just plain wrong/backwards.

The reason they appear to be losing money or close to losing money is by design, because of the incentive to be inefficient. It's a way to balloon the "costs" in their accounting and demonstrate to the outside observers that they are "oh so poor" and need help, whereas in reality, they charge exorbitant amounts for procedures and then mark it off as "losses" when consumers can't pay.
> You are never going to get to 100% comprehension. 80/90% depending on the situation.

Key insight, people should set the realistic goal of being at most as good as their native language.

I can confidently say, in my native language, there are many times throughout daily life where I have way less than 80/90% comprehension. The other key insight though is that I can remove that ambiguity with follow up questions and elaboration if I want.

And that's what people should strive for when learning a second language. Once you get to the point where you can learn in and with the language, then you're golden. That requires far far less effort than most people estimate.
I lucked out that the first inspector was lazy and/or incompetent. He was there for 5 minutes and spent 4 of them chatting about his kid's baseball game. If I had the second inspector first he would have made me rework the design.
Take it as a sign that you need to hang out with more diverse crowds!
The usual practice in illegal organizations (such as ISIS in Syrian state controllerld areas) is not to freely disclose member affiliations.

To a lesser extent, there are some sort of universities in rebel controlled areas.

No idea how good/bad they are.
Not true or false; just present or absent in the reference data. Note that false negatives will not result in erroneous output, so the model can safely err on the side of caution.

Also 100% accuracy is probably not the real threshold for being useful. There are many low hanging fruits today that could be solved by absolutely tiny error correcting models (e.g. arithmetic and rhyming).
GPT3 isn't search.
https://en.wikipedia.org/wiki/SEAL_Delivery_Vehicle

It has a range of roughly 20 miles necessitating carrying it near the location. That "giant assault ship" is exactly what you use to carry one of these. It also explains how you haul a few hundred pounds of explosives down a hundred meters for planting.
If it’s occupying airspace illegally, without a license to operate or a flight plan, without any means of control or contract, where it might become a deadly obstacle to legitimate air vehicles?

Who else but the military would enforce that kind of thing? The cops?
I tried Iosevka but it felt too much like the bitmap ROM fonts on old computers and terminals. All those fonts were a little too pixel-dense.
MC14500 based 1-bit SBC
cities should build them and setup public transit at them.
There's an outlet 2.5 feet away. No need for an extension cord.
I guess I should have been clearer...

There are tons of common queries about the future. Being able to handle them should be built into the AI to know that if something hasn't happened, to give other relevant details. (and yes, I agree with your Alexa speculation)
Glad to see a kindred soul out there. I thought I was the only one :)
ChatGPT's edge: We want to believe [About the Eliza Effect]
I wonder if those who complain about Teams actually use it. They might not.

My company forces us to use Google Chat. I would take Teams any day.
This is true only if cops can be expected to have empathy for the people they would be pepper spraying, and I honestly think that’s overly optimistic.

I’m all for pepper spraying the cops, but I wouldn’t want to suggest that is a good solution to this problem.

Part of the problem seems to be that cops believe their victims deserve to be punished. They must know the people they tackle and kneel on and beat up are experiencing pain but as we have seen that doesn’t dissuade quite a lot of them from behaving badly. This is why I think that expecting empathy is actually misguided and consequences are better.
> What would cause the ad-funded ecosystem to fundamentally change?

I don't have the stats, but AD blockers & tracking blockers are a real spanner in the works for AD-Tech. I imagine blocker popularity exponentially increases as each year passes, meaning at some point they will make a substantial dent in AD-supported sites who rely on income from ADs to stay online.

Google has so much data on people they can essentially read people's minds, so they are doing fine in regards to targeting people properly. They have a tight ship and it works (For now). Same for Facebook, although Apple's tracking opt-out apparently is hurting their business.
> On another forum there was recently a long discussion about the requirement for x number of power outlets in hallways of single family homes. This was added when wall-to-wall carpeting was fashionable...

> Is this something that should be legally mandated for everyone? Especially since wall-to-wall carpeting has fallen out of fashion...

That's a bizarre argument. Anyone who knows about fashions knows that 1) what goes out of fashion, often comes back into fashion again, 2) fashions aren't universally followed. Unless building codes were changed to forbid carpeted hallways, I don't see any good rationale for eliminating the code requirements for them. America isn't Japan, it's quite reasonable to assume someone will likely put carpet in that hallway at a later date (anecdote: I personally know people who have pulled out carpet and found hardwood floors underneath).

Also you're focusing too much one one rationale. Those outlets are also very useful for night lights. Falling isn't usually a big deal for younger people, but it can be very serious for older people.
For people who are not solely at one company - contractors/freelancers who perhaps need to support connectivity with multiple organizations - MS Teams is a huge hostile pita.

I had 2 clients each using Teams, and I was working with each. But... I can't just be 'logged in' to two different Teams organizations. If I was in company A, I couldn't see anything from company B. Apparently you can do this in the phone app, but not the desktop version. I could keep one company on desktop, and another on phone, and just monitor two, but... you can't scale that.

With slack, I'm just connected to 3-4-5 client orgs at a time, and can react/respond as needed within the same tool without needing to log in/out constantly.

The last time I had to deal with this was last autumn - perhaps it's "fixed" now? Except... I don't think it's seen as a "bug" in the first place, so may never be "fixed".

Also... just connecting to Teams would often just hang... wait... no indication anything is happening. If I got impatient, I'd have folks saying "oh... just calm down..." but then also wonder why I was "not in the meeting"... well... because... Teams can never tell me if it's going to take 90 seconds to join, or 39 seconds or... if it just will never resolve. Opening a secondary link in a web browser became my default, though I'd have to read a banner every time saying "you won't get the best experience - some features may not work!" except... it at least loaded.
That's kind of weird to label it based on sexual roles by default. How would they go about explaining that label to a child? How about puss in boots face?
Yeah they have probably one pay level for "developers" and that's it.
I briefly worked at a startup that was trying to build this. It's technically possible in a lot of different ways, but the business culture is so far removed from this approach that it seems impossible right now. The sites that are still successful are all convinced they are on track to own the entire online news media market and won't do anything to give up an absolute iron grip on their experience and readership, especially if it might mean acknowledging the existence of a competing news source. The smaller regional and local news sites are all basically zombie companies now anyway. They buy an off-the-shelf newspaper CMS tool, add in every possible monetization plugin they can possibly cram into the tool, an AP feed, and hire like 3 part time journalists to add in just enough shallow local flavor that nobody cares about so that they can try to get some clicks in their local market. They aren't motivated to participate in systems that let you buy content, because they don't actually make any content.
I completely agree, and I think 2 is partially the forcing function behind a push for “serverless functions” as a unit of computing instead of some larger unit.
One way to think about 10% downsizing at a company that doubles in size roughly annually is its being off schedule about a month.

IF they go back to doubling in size every year, THEN its a short term one month layoff. Looking at the numbers, this specific company example is not going back to doubling every year.

I think it gets engrained into the DNA of the company that they double every X months or X years and its hard to shift the culture when the company flatlines or even slightly declines. "Why, we always onboard 10% of our workforce per month, its just what we do" and when you grow that fast there are literally people who's entire day job is onboarding, like typing in new W-2 and insurance forms all day long or whatever.
Dogfooding means using your own product. The Teams team does not work at GitHub, they work at Microsoft. Yes, I know the one owns the other, but the fact that this requirement needs to be made at all is testimony to the fact that they would much rather use a product by a competitor, that's how broken it is.
https://www.fcc.gov/document/fcc-issues-robocall-cease-and-d...
Way to setup false choice.

I would rather they use letal weapons on crowd than nuking the city.

If it happened like described I see no reason to proceed to spray without warnings. In fact why would you even clear streets if it's an organized event and most people already left due to rain.
"you should try not to worry about what you can't control" appears to be the industry standard
Is... Is that really what I have to do? But I have a job.
“Red tape is painted with the blood of innocents who died before those regulations existed” - probably the best way to state it in a pithy manner.
I think (not 100% sure though) that's probably due to NLL being now supported. I don't think they were supported back then.
I mean, this conversation that is talked about in the video is pretty interesting

https://www.tomscott.com/fix-gmail-labels-threads/conversati...
We are doing inverse procedural modeling rather than photogrammetry, so there will be some idealization/iconification that takes place - but this also allows end-users to bring in their own material libraries in a pretty seamless way.
That's not a problem. Implement a "Login with Blender" Single sign on for participating sites and you're done.
The World Is Fake
Bing AI Can't Be Trusted

Correction: AI can't be trusted.

Any results from AI are probabilistic in nature. In other words, the results may be factual and correct --- or they may not be. There is no way to tell the difference short of verification.

There are applications were a certain level of inaccuracy may be acceptable. There are others where it is not acceptable.
lsp-mode: https://github.com/emacs-lsp/lsp-mode/issues/2080
If we’d design computing technology from scratch today, we might be using 32-bit bytes, or maybe even 64-bit ones. If memory usage is not a concern, there’s really no need to have smaller units.

Our world however runs on 8-bit bytes, so it makes some sense for text to be based on that.

But also, consider Base64 in UTF-32-encoded JSON. ;)
Actually, yes.

For example Edeka (German supermarket chain) increases prices when ordering significantly as well as adding a base fee for shipping. This roughly adds 30%-50% compared of buying the same things in the same store manually.

Sure, it’s a luxury position to say that, but I happily pay that.
RN tech talent is getting desperate to keep any job out there, perks or not.
Misleading headline.

> the actual bug: let's add to our code.. an emoji! Any emoji.

> rust-analyzer adheres to the LSP spec. And lsp-mode doesn't.

So “emojis break an Emacs extension”.

Though for me the real takeaway is that LSP specifies UTF-16 offsets. That sounds unpleasant to work with.
Late Initialization with Mypy
It's annoying, but maybe it means better job security for the technically inclined by lowering the barrier to entry for most people meaning that fewer people will be looking behind the curtain.
This is mirroring what I’m seeing. I’m actually noticing a lot of senior dev jobs with base salaries extending to 200k+. This is new to me as before Covid this base salaries were very hard to come by even for higher level staff and principal roles, even in Faang
That makes sense, though. Conversion rates change frequently.
From the quote it appears the goal is to save money. From the numbers I found, GitHub could be paying upwards of $35k/month in licensing for Slack users. In a climate where companies are trying to shed expenses, wouldn't it make sense to bring that expense in-house?
We should include sales taxes in that. "What you see is what you pay" would be nice.
except when mining isn't profitable for 3 years out of each decade, and your free heat suddenly shuts off.
That may be why it -- and Envy Code R -- are the only "modern" monospace fonts I can stand for very long. Everything else just looks like IBM Letter Gothic, or some other typewriter vendor's substitute for Letter Gothic. Hence why I use bitmap or bitmap-like fonts for terminals.
At least in Seattle, renting an apartment is cheaper than owning a home.
Good thing that not all of the use cases that are finding footholds today require skills it does not yet have. Why are "significant reasoning skills" needed to help you write a song, or help rewrite your resume, or find an answer to a niche piece of knowledge, or fuck... this is exhausting.

I'd have thought that people on HN would have far more vision than this. For every single "well it can't do that yet" observation there are dozens of use cases people are finding TODAY. It's already widely useful and this is year one.
The curve doesn't imply polarization; see C306 on the right.

(I miss resistors that go -v^v^v^-. Why would you use a box? Boxes are for black-box ICs.)
I wonder at this point if the Japanese real state model is the correct one:

* Building code is constantly updated, and this makes old built homes undesirable - building itself is worth 0 yen after around 7 years;

* Shrinking population means most real estate is actually empty/abandoned on low demand areas;

* Very disaster prone area so most buildings are either new (and build code compliant) or constantly being tested for disaster resistence;

* Few invest on real estate speculation as the return-on-investment is horrible.
Performance at the cost of stutter. So not really performance...

When did compiling of shaders become a thing? Nvidia GeForce had shaders in the year 2001 but I don't remember ever seeing this then. The first time I saw compiling of shaders happen was in 2017 in a console emulator I think.

So how did it work before then, and what exactly has this compiling now improved compared to before?
I like FluentBit, written in C and very light on resources.
AWS uses eBPF to identify security risks
I'd say it's neither old nor young. I believe it's like the 30s/40s of cats.

My cats are also pretty healthy otherwise - they're even older now and the vet always says she'd believe it if I said they were 5 by their muscle tone etc.
"There’s no reinforced steel here,” she says, “so the concrete lost its strength and the columns collapsed, along with the floors, as soon as the ground started to shake.”"

"'The problem lies in implementation and oversight'" of building codes that are strict on paper.