skysight-inc/HackerNews huggingface dataset:
This is an interesting point. A family member of mine is what we call here a medical evaluator - not sure if it has a direct equivalent in e.g. the US and how it is called here, but those are doctors who assess the disabilities of workers who apply for a pension due to illness or accident. This involves exploring the patient and then making the decision and justifying it in a report. The latter two seem like tasks that LLMs should be able to do easily.

However, we tried a description of a fake case to see what Bing could do, and it couldn't do much. And I think the reason is that there are very detailed documents on the rules that they follow for their decisions, but these are not online - they are in a private intranet and they can't take them out of there. If Bing had access to those documents I don't think it would have much of a problem.

So maybe a way for workers to protect themselves from being replaced by AI is not uploading much information about their jobs to the Internet... I wonder if this will lead to a situation like guilds in the middle ages, treating job skills essentially as secrets.
Or, something to disrupt the existing biofilms. N-acetylcysteine works for this purpose.
https://en.wikipedia.org/wiki/Plessey_System_250
if I were a teenager these days, I'd be more worried about the vasts amounts of money required to get a credential that may not be worth a damn in a few years time

I wouldn't be worried about learning things that may become obsolete, even those particular skills that get obsoleted provide the student with extra ability to learn more

PS: very nice of John Carmack taking time to respond such DMs
I tried playing ChatGPT by remembering where each piece was since I didn’t have a board. Only made it 4 moves.
Oxbridge has never been especially diverse or progressive; there were riots against the admission of women: https://www.varsity.co.uk/features/15985

By 1988 this had diminished to resentful grumbling from Magdalene.

(I'm not sure if there's even a UK counterpart to "absurdly progressive US university that gets mentioned by conservative culture war campaigners" all the time?)
They do nearly the same thing, as I understand it. Samsung doesn’t specifically improve the moon, it’s just one of the things their filter has learned to improve. Apple is doing pretty much the same thing except getting away with it; it’s not only their bokeh as I understand it.
It's certainly believable their immune systems don't work exactly the same way. Men usually feel sicker when they get ill as well IIRC.
It will of course continue to improve at what it does but I personally think it's unrealistic to assume it will somehow spontaneously develop generalised cognitive ability; there are surely limits to how far this particular approach will take us.
The original Active Oberon (Reali, 2004) didn't have generics; you probably mean the ETH Oberon (2019) Language Report draft by Felix Friedrich; I don't think it's implemented somewhere.
> we had one CS professor who in 2007 predicted we'd all be jobless in ten years, i.e. 2017.

> Instead he made this prediction because he saw the rise of no-code tools replacing software developers

I think that people who make these predictions are not very good at actual programming (taken in the more wider meaning)

The latest fad I remember (before ChatGPT) was that with BDD testing non-technical people would be able to write tests and we all see where that went

But most fundamentally, the non-technical people don't have the time nor the expertise to learn all the details needed for shipping software (and why would they? their job is to look at other aspects of the business)
Best-Selling Author & Professor Steven Pinker Will Transform His Ideas into NFTs
I think it has settings for that
AI Will Make Human Art More Valuable
First video of 56 transition controls for a triple inverted pendulum
That’s a little more normal. In my state Grades 1-8 ran on a 7pt scale. A was 93+, B was 85-93
>Since they hire software developers to make the specification more rigid

That might actually be what development is, teasing out the requirements by iterative entering them into a machine that does exactly what you told it to, and comparing the outputs to expectations.
I've been thinking about this a bunch, and I honestly still don't know. Julia SHOULD be very popular, but it isn't.

One issue is that if you ask 10 people why it's not, you get 11 different answers, each of them being confident that their particular problem with the language is the universal reason. Nonetheless, by listening to sufficiently many people's complains, we can draw a picture:

* The latency and memory consumption overhead makes Julia unsuitable for a large group of tasks, including many CLI applications.

* Julia is hard to "deploy" since it can't generate standalone binaries, and it's not preinstalled on most systems.

* Multiple dispatch, it's system of abstract inheritance and lack of static analysis and tooling makes it very difficult to write correct code. It's even hard to read Julia code due to dispatch labyrinths, macros that obfuscate IDEs, and lack of good IDE tooling.

I think these are the major issues of Julia that prevents adoption, apart from simply inertia. Most users bump into points 1 and 2 nearly immediately - only later do they realise point 3.
> I am doubtful we get there by just scaling up current methods.

Why? The last two years show that throwing more compute at this during training and execution is clearly helping.

LLMs currently lack access to real world data for instance to measure a physical quantity or perform a randomized control trial, but given how much of human output is just manipulation of language tokens and that we got quite a lot of sample data to feed into the networks I am confident there are still some steps ahead of us that are essentially just more of the same.

An important data point is also the limited amount of data that we need to feed into a human brain to get somewhere smart.
> vasts amounts of money required to get a credential that may not be worth a damn in a few years time

are you referring to the degree program like CS or a degree across any field in general?
What percentage of men vs women get raped?

These what-ifs are so fucking odious because they’re completely divorced from what actually happens in the real world.
Autolakering-Nordjylland.dk is a website where you can find professional car painting services in North Jutland, Denmark. Our team of experts specializes in car painting and repairs, offering a wide range of services from small touch-ups to complete car painting. We take great pride in our work and strive to provide the highest level of quality and precision.
This is wrong. "Colorless green ideas sleep furiously" is a famous example proposed as a clearly grammatical but meaningless, entirely new and unlikely sentence. There are many grammatically correct sentences you will hear in future that you've never heard before.
This looks interesting: https://github.com/fossteams/teams-cli
Using mind maps is a better approach for me. I will remember what I can but if I can't, retrieving the info from the mind map takes seconds.
Women are more prone to autoimmune diseases as well.
It's mostly LL(1) with a few LL(2) and one LL(k) productions.
Change Makes Fools of Us All
> As an AI language model, I do not have the ability to open links or browse the internet.

And yet, almost everything you are comes from there. Would it be closer if adding "anymore"?
> So exact in fact that they will need to specify a program in a click and drag interface, or in human language.

This. I started programming in Machine Code, where the "editor" was a pad of graph paper.

I've watched management- and business-focused people sneer at us geeks for my entire career, and watched them drool over the thought of finally getting rid of us.

Hasn't happened yet.

> I'd be surprised if the next step is "Hi, I'm an ideas guy, please give me an app that does Uber, for bicycles, but better."

I get that, from "idea people," on a regular basis. They have nothing but contempt for us "Make It Happen" folks. They treat us as if we grow on trees, and are suckers, to boot.

Inevitably, the above, is followed by something that translates to "Of course, you will do all the work, but I'll get all the money, because the idea is what's really valuable."

If I follow up on it at all, I'll be asked to sign an NDA, and meet in some clandestine place, so they can whisper to me about their AI-powered cheese straightener.
State governments have massively dropped their support for colleges. And the federal govt’s support has barely kept up with rising inflation, never mind the inflated rise in college costs.

In fact, one of the only major changes the federal govt has made in the last couple of decades is to make college loans something you cannot get rid of in a bankruptcy.
I'd rather have systematic "language skinning", where different flavors (begin and end versus { and }) are isomorphisms of each other so one's tooling can fluidly translate between both forms.

Rochus is almost kind of doing this with Oberon+ versus Wirthian Oberon already, but it would be nice to go further.
Yes, but green fanatics don’t understand that. It’s too complex for their playbook.
'cwm fjord-bank glyphs vext quiz'
Reddit is just like Facebook. If you are seeing low quality content, it’s mostly the fault of self selection.

On Reddit, the serious subreddits don’t have a lot of memes and many prevent them. On Facebook if your feed is full of toxicity and politics, it’s because your friends are FB warriors and toxic.
It's funny seeing this attitude here from developers types, but when it comes to art or writing or legal work, it's all "disrupt" talk instead. Of course you guys are the ones with the special sauce, something those pesky managers can never grok. Meanwhile continue your work to put them out of a job, the manager definitely won't decide to fire you too as soon as he can justify it to the c suite
I watch people play Squad to pick up tips and tricks and ettiquite. I watch people play other games to try to see if that would be a game that I would like to play. I watch people play DCS because I really want to play it, but don't have THAT much time to invest into a game. DCS is my favourite to watch, you learn so much about fighter jet tactics and technology.
Just came here to say that the first terminator is a much better movie overall than t2 and it’s a shame everyone only focuses on the better action scenes of the latter to give it the crown. / end of rant
except that many DJ now are physically attractive people (mostly women) that don't have to know anything anymore as technology evolved to the point that all the hard stuff to learn on mixing with vinyls disapeared. I could be a DJ tomorrow with a 1hour tutorial on youtube. a few decades ago it required hard training for years and musicality.
Use a GraphQL-native or graph-with-GraphQL-adapter datastore like Dgraph Community Edition, ArangoDB, EdgeDB, Neo4j, Apache AGE for PostgreSQL, etc.

For extra kicks, select one that supports GraphQL federation.
I had to add a code generator, because of the lack of generics
I'm pretty sure the reason human physical labour hasn't been replaced yet in many areas isn't because AI tech hasn't advanced sufficiently - there are real engineering challenges in automating physical interactions with the real world that it's hard to see how ever more advanced LLMs will help much with (though they could certainly assist in the design process).
That humans are still needed to cook/assemble burgers or peel veggies is in some ways more surprising than the code and language generation capabilities of ChatGPT.
TurkishPoptart's post is pretty much 100% contrary to my own experience. Teams is a huge resource hog, but switching between desktop and mobile participation is smooth and convenient and the app's never crashed for me.
I too like science fiction. People keep acting like it will be easy to bolt on things like eliminate misunderstandings onto LLMs and quite frankly I would be incredibly surprised if that happens any time soon.
> The ISA spec includes commentary on this decision (page 23), noting some disadvantages of adding such instructions to the specification and noting microarchitectural techniques exist to convert short forward branches into predicated code internally. In the case of the SiFive 7 series, this is achieved using macro-op fusion where a branch over a single ALU instruction is fused and executed as a single conditional instruction.

i wonder how far can macro-op fusion be taken?

would it be possible to implement something like push/pop all registers where the hardware decoder gobbles up several consecutive load (or store) instructions and executes an (accelerated) batch under the covers?

(maybe thats a trick they already do i suppose....)
> as todays would have been to someone asking 15 years ago (2008).

i dont think, if you took someone from 15 yrs ago, and transplanted them here today, that they'd find it all that different technologically. Sure, machines are faster, slightly different, and such, but the fundamentals haven't changed. A software engineer could just as well write an app today as they had 15 yrs ago.

You'd have to go back 30 yrs, for computers (and the landscape of computing) to have been different enough, that you can't transplant a software engineer.
My guess is that this study is a load of nonsense, they are probably just picking up a signal for how generally healthy a population is rather than any real difference in vaccination efficacy. We know healthy people fight the virus better, how do you effectively remove that from the fighting the virus better by vaccination? Having slept well sounds like something people who would fight COVID better anyway would do. Does anyone have a link to the paper so I can see if they try to factor for these?
That's literally what the language model is. It might correctly generate a solution to a "novel" question/problem that is sufficiently close to one with an existing, known answer. But then again it might not. And in software development, it's going to take someone who is knowledgeable to tell the difference.

I think software engineering is going to look very different in a few years, and likely be a smaller field with lower paying jobs. But it's not going away in the near (5-10 years) future.
You can actually peak and get a realistic picture. Google maps shows lots of those greening projects (like the green wall of africa)

https://goo.gl/maps/bxpneCxBeMvXMELt9

Also most of these programs are basically wood plantations, that regularly fail and continue existence just as propaganda.

https://en.wikipedia.org/wiki/Great_Green_Wall_(China)#Criti...

Its overall not very effective.

Better outcome would be had by planting diverse dessert-adapted plants and trees at locations were the landscape protects them, so they form "islands" of recovery without needing human intervention.

You compute were water in the landscape is most likely to exist and assemble, while protected from dust storms. Then you fire a seed shell from a drone towards the location, similar to this.

https://www.fastcompany.com/90504789/these-drones-can-plant-...

A alternative approach is to use robots to 3d print sand into a watercollecting structure that supports a plant seeded nearby while it drives its root towards ground water.

https://www.popsci.com/diy/article/2011-09/you-built-what-se...
> It seems inevitable we'll reach the point that...

It's inevitable that we'll reach AGI. It's inevitable that humans will extinct.

Everything you described is not how today's AI works. It's not even a stretch, it's just pure sci-fi.
What if your database directly supported GraphQL?
Harvard takes in a lot of students on the basis of athletics, legacy, and other non-academic considerations. While I've seen students admitted to specific colleges in Oxford due to family ties, that has always been a matter of which college a student attends; I've never seen someone get in that way who wasn't already going to be admitted to the University on academic grounds.

If you look at the top 1/3 of Harvard students who deserve to be admitted on academic grounds, you end up with a much smaller pool than "top 1/3 of Harvard students".
Show HN: Yaksha Programming Language
I have been working on this for a while. Main goal was to build a usable programming language. I even end up building few tools for this such as IntelliJ plugin, etc.

I also plan on building some games with it in future.

Main use case would be: small games (raylib), tools (static linux binaries with musl-libc) and recreational programming (wasm4). Works in Windows also. If you have emscripten in path you can even build these games/tools (raylib) to WASM.

Please have a look. Thank you.

-------------------------------------

Main Repo: https://github.com/YakshaLang/Yaksha

Doc: https://yakshalang.github.io/documentation.html

Library: https://yakshalang.github.io/library-docs.html

Tutorials: https://github.com/orgs/YakshaLang/discussions/categories/tu...

----------------------------------------

Started after a comment from WalterBright here https://news.ycombinator.com/item?id=28929840
> And if the market becomes over saturated, how much will those jobs pay?

AI makes everything else so cheap, that by just working for a small bit of time, you can afford all the necessities?
Never heard the term Gemba walk before. So I've looked it up:

https://en.wikipedia.org/wiki/Gemba

Gemba means "the actual place" (where value is created).

The core idea behind the Gemba walk is a follows:

> Gemba (aka Walkie Lookie) walks denote the action of going to see the actual process, understand the work, ask questions, and learn. It is also known as one fundamental part of Lean management philosophy.

> Taiichi Ohno, an executive at Toyota, led the development of the concept of the Gemba Walk. The Gemba Walk is an opportunity for staff to stand back from their day-to-day tasks to walk the floor of their workplace to identify wasteful activities. The objective of Gemba Walk is to understand the value stream and its problems rather than review results or make superficial comments.
Hackernews provides a cool space on the Internet at this brief moment in time. It's wonderful randomly seeing passionate voices that are experts in their field speak up in comments.

Your input is appreciated, but I hope this space doesn't help breed hatred.

It's tough in today's world resisting the urge to take down others when we're suffering. But we all lose when we alienate those others who can bring intellectual sparks of joy into this world. Every voice matters, however brief it is.
But it is true, just in a different area than predicted. I hear all the time that scientists and analysts, while being non-programmers, do write various queries without asking a programmer to do it… I am a programmer and not even sure how much time it would take to implement their regular joins with windowing, aggregates etc in a record-based file format. Can I even do that?

SQL was a typical failure in this regard. It was seen as a savior but at the same time was designed for at least math-versed people. The prediction was right, its scope was wrong. Since then we failed many times and as I see it, we tend to diverge from this idea more and more. And the reason is there’s no one controlling our stacks vertically, so it takes more jobs than it could to make an app.
> That does not apply to women, because they are gorgeous, and we should not tell them what to do.

I am baffled how you took that away from the article. Did we read the same thing? This is what they had to say about the results for women.

> As for why the results in women were not significant, Dr Spiegel and her colleagues theorise that sleep affects female response to vaccines too but that hormone interference, driven by varying stages of the menstrual cycle, contraception and hormone-replacement therapies, is probably altering immune response in profound and unknown ways that throw off the results. It is a subject area that urgently needs more attention, argue the researchers.

???
You're considering that every company that needs SQL today would hire enough developers to essentially write most of it from scratch. While some might, most companies that use SQL would not exist, because the cost of developing their product would be prohibitive.
I saved $183M dollars by not moving to the cloud
Since folk like DHH and Ahrefs are posting their savings from running workloads outside of the cloud, I thought I'd join in
Tokiodev.com is on his profile
I hope this can be turned off.

That picture is recreated multiple times a year here in York. The Romans built it at the junction of two rivers and developers like to bribe our council for permission to build housing on the surrounding flood plains.

If this crap stops me using my phone as an alarm, or interrupts my sleep I'll be absolutely digging into the forbidden blobs in my Pinephone to disable this, and throwing my Androids away.

Save us from this nanny state madness, LineageOS!
Sounds like the early two color process in Hollywood… they got red (for skin tones) and a sort of teal blue green that could sorta do plants and sorta do sky, but wasn’t real convincing at either.
N+1 issues do not exist when using a graph datastore which supports GraphQL.
.. as does Zoom, Patreon and any number of US based companies
> I do wonder why you're being downvoted

Because it is indeed a shocking conclusion and hard to swallow. Few folks in software engineering are aware of what’s going on in the world around them. People stuck at their desks chasing tickets easily lose touch with their surroundings.
If you become a programmer / sw eng because you love it, i.e., building software or tinkering with teh, you'll be fine. AI will just be another tool. And tour career building won't feel like hard work. You are going to have a blast.

If you do it to have a high paying career, just don't. There are already too many people of that type in the industry. Any colleague who got into it for the money (or 'stable career') is usually much less fun to work with.
Just a matter of concentration.
80% of 100g is more than 40% of 100g. It's that simple.
It can learn the rules for movement strictly as generator rules imposed on a string of tokens representing the previous sequence of moves. Each new item appended to the list has to in some way match a previous item in the list. Eg RC6 is a Rook, so it has to match an earlier token that is also a Rook, in one of two ways: R_6 or RC_ (and it must not be previously captured by __6 or _C_ ). At no point is it even necessary to convert the move history into a present board state, let alone the state of an 8x8 grid. The move history is sufficient board state on its own. Are the rules for valid chess moves, expressed as 3 character token grammar, the same thing as having learned a 2d grid in latent space? I don't think so, because the language rule is more general and isn't restricted by geometry.

In principle it could reason about any incidence structure. That is, anything where the semantics is two types of objects, and a "touching" relation between them. Lines are just all the points along them, points are just all the lines intersecting there. For the purpose of directions, a train station is just a list of all the services that go there, and a service is just the list of stations where it stops. Etc etc. A language model is free to learn and understand these sorts of systems purely as relations on symbols without ever implicitly organizing it into a geometrical representation.

This is all good news. It means Chess, Transit, Diplomacy, and many other things can fit nicely into pure language reasoning without trying to ground the language in the semantics of our physical nature with its dimensions of space and time and whatever.

What would change my mind is if, after learning the rules for Chess as string matching, it invented a word for "row" and "column" on its own.
I was having trouble finding a deep guide too, so I started writing one!

Feel free to look at my draft below, and let me know what’s missing.

[1] https://producteyes.pages.dev/product-eyes/guide