skysight-inc/HackerNews huggingface dataset:
It resulted in one less developer, but you're still using that tool, right? Didn't a human (you) point the LLM at this problem and think this through?

That fired developer now has the toolset to become a CEO much, much easier than pre-LLM era. You didn't really make him obsolete. You made him redundant. I'm not saying he's gonna become a CEO, but trudging through programming problems is much easier for him as a whole.

Redundancies happen all the time and they don't end career types. Companies get bought, traded, and merged. Whenever this happens the redundant folk get the axe. They follow on and get re-recruited into another comfy tech job. That's it really.
It's interesting you say this because in my current process to learn to build apps for myself I first try build mermaid diagrams aided by LLM. And when I'm happy, i then ask it to generate the code for me based on these diagrams.

I'm no SWE and probably never will be. SWE probably don't consider what I do "building an app" but I don't really care
I’ve had the opposite experience. The literally home assistant branded zigbee stick refuses to work with HA („unsupported forward“) even after updates so all the zigbee stuff is in a box

Have had much better luck with WiFi. Both commercial and self soldered circuits. 2.4ghz WiFi is as battle tested as it gets and between esphome and tasmota it’s pretty open and customizable. Just need to steer clear of the usual cheap trash that comes with an app etc
> Physical fitness is a chemical process that we trigger with exercise

Physical fitness is not just chemistry. The body is responding to actual physical forces and the response is tightly coupled to how, when and where those forces are applied. Bone density and structure for instance is not just a matter of increasing production of bone cell production. It instead responds to the forces of gravity and other forces on the body as it moves through space. These forces do trigger electrochemical signals in the body, but it wouldn’t be trivial to recreate these signals in such a way that the body is fooled into responding just as it would if the signals were triggered by gravity and other physical forces.

It seems like it could be a more difficult but similar problem to the one experienced by lab-grown meat producers. The meat texture still isn’t right. And these meat “muscles” only require proper taste and texture. They wouldn’t have to actually support a living organism.

Edit: On reread I realize your comment allowed for assisting rather than totally replacing the required physical aspects. I agree with that. Use of chemicals could make it easier to trigger the necessary reactions, lowering thresholds, increasing outputs, etc. This could be applied broadly and the physical forces of everyday life might do the rest.
My favorite symptom of enshitification is interrupting an article to say “join my newsletter”
How about no? Get out of my face, I’m busy reading what you wanted to convey.
SQLite is smaller than many KV store libraries to begin with, and KV is a degenerate case of relational data.
all the "creative" gen ai does a thing worse and more annoying than what exists now. the first computers did calculations faster and faster with immediate utility (for defense mostly)
So what are people using now instead of "crystalization"?

This kind of written language doesn't change very quickly. It's not TikTok.
Can we stop framing fertility as a national/corporate policy issue when its almost entirely cultural. And I don't mean that policy is downstream of culture; I mean, people just want to travel, party, and drink instead of having kids.

If you're giving me stats, you'll have to explain why there's very little correlation between income and fertility within nations, and why previous (non-farming) generations had a higher fertility rate with fewer resources, and why a country's fertility generally declines as it becomes wealthier.
I always wondered about why the truth that Kamala Harris worked at McDonald’s seemed almost less authentic than the sort of cosplay of Trump working there.

And it makes me wonder. I myself worked a blue collar job for a few years, I was in catering, and I worked - never in fast food but at a few chains.

But it was never something I had to do or something I was looking down the long barrel of. It certainly I think taught me something about what that life was like. But I can see why some people may interpret that as actually worse.
An Evolved Universal Transformer Memory (Sakana.ai)
This is unavoidable if you are at least a bit smarter than the average person, since in many cases their work just is broken.

It’s taken me far too long to internalize that the chances of someone making an (egregious) mistake in something I rely on to be correct are very much nonzero.
Literally a real-world race condition in the end to end tests.
The Year 2024 in Math
I remember being struck a few years back when shaking the hand of a friend’s farmer father. He was about six-inches shorter than I am (6’1”) but his hands were MASSIVE.
It solely depends on whether more software being built is being constrained by feasibility/cost or a lack of commercial opportunities.

Software is typically not a cost constrained activity due to its typically higher ROI/scale. Its all about fixed costs and scaling profits mostly. Unfortunately given this my current belief is that on balance AI will destroy many jobs in this industry if it gets to the point where it can do a software job.

Assuming inelastic demand (software demand relative to SWE costs) any cost reductions in inputs (e.g. AI) won't translate to much more demand in software. The same effect that drove SWE prices high and didn't change demand for software all that much (explains the 2010's IMO particularly in places like SV) also works in reverse.
Maybe, but I don’t know Dan. Never read anything written by them (besides this)

I’d like to read deeply about something interesting, but with so much LLM slop around, I’m much less willing to dive right into a long article.
I was thinking the same.

I don’t like this new legislation one bit, but…

It’s not obvious to me that from the post or what I know of the legislation that OP is at meaningfully greater risk of being sued by someone malicious/vindictive or just on a crusade about something that they have been prior to the legislation. (Unless, of course, there forums have a consistent problem with significant amounts of harmful content like CSAM, hate speech, etc.)

I am not saying that the risk isn’t there or that this isn’t the prudent course of action, I just don’t feel convinced of it at this point.
You can beat the charge but you can't beat the ride.
Beware of the miopia and gate keeping displayed on this thread.

There will be less SWE and DevOps and related jobs available in the next 24 months. Period.

Become hyper-aware of how a business measure your value as a SWE. How? Ask pointed, uncomfortable questions that force the people paying you to think and be transparent.

Stay on the cutting edge of how to increase your output and quality using AI.

Ie: how long does it take for a new joiner to produce code? How do you cut that time down by 10x using “AI”?
> It's provably true that LLM's can produce working code

ChatGPT, even now in late-2024, still hallucinates standard-library types and methods more-often-than-not whenever I ask it to generate code for me. Granted, I don’t target the most popular platforms (i.e. React/Node/etc; I’m currently in a .NET shop, which is a minority platform now, but ChatGPT’s poor performance is surprising given the overall volume and quality of .NET content and documentation out there.

My perception is that “applications” work is more likely to be automated-away by LLMs/copilots because so much of it is so similar to everyone else’s, so I agree with those who say LLMs are only as good as there are examples of something online, whereas asking ChatGPT to write something for a less-trodden area, like Haskell or even a Windows driver, is frequently a complete waste of time as whatever it generates is far beyond salvaging.

Beyond hallucinations, my other problem lies in the small context window which means I can’t simply provide all the content it needs for context. Once a project grows past hundreds of KB of significant source I honestly don’t know how us humans are meant to get LLMs to work on them. Please educate me.

I’ll declare I have no first-hand experience with GitHub Copilot and other systems because of the poor experiences I had with ChatGPT. As you’re seemingly saying that this is a solved problem now, can you please provide some details on the projects where LLMs worked well for you? (Such as which model/service, project platform/language, the kinds of prompts, etc?). If not, then I’ll remain skeptical.
of course you can but it ain’t cheap. $20k for a family of 3 is what I pay
But did you ever in the first place?
Yeah I had my fair share of pride around typing super fast back in college, but the algorithms were super annoying to think through.

Nowadays I get wayyy more of a kick typing the most efficient Lego prompts in Claude.
https://www.clac.ca/Your-voice/Article/wired-to-work-differe...
Comments like these make me wonder whether we live in the same worlds.

I'm a cursor user e.g. and Tab completion is by far the most powerful auto complete I've ever used.

There's scenarios where you can do some major refactors by simply asking (extract this table to its own component while using best react practices to avoid double renders) and it does so istantly. Refactor the tests for it? Again. Semi instant. Meanwhile monocole wielding "senior" is proudly copy pasting, creating files and fixing indentation as I move to the next task.

I don't expect LLMs to do the hard work, but to speed me up.

And people ignoring LLMs are simply slower and less productive.

It's a speed multiplier right now, not a substitute.

If you complain that you don't like the code, you're not understanding the tools nor you can use them, end of story.
Awesome, thanks for the link. Will be interesting to hear how things have developed in the several years since I left.
I agree that exercise is a great psychological benefit.

But at a certain age you're exhausted more easily and recover less well. I say this as very active middle-aged weightlifter (who gets more joint pain from running but that's besides the point).

But maybe since this article talks about people in their 20s mostly, including I think 30s, your advice us definitely worth following.

But if you need something to work 20 hr days on deals, I dunno, maybe don't do that.

Or maybe do it with a fixed goal - save $x. I think a lot of the people in the articles are addicted to work, though! I'm lucky in that I never had that issue.
You don't seem fancy
i still remeber vividly placing a blanket at my computer ~ 1 AM. to use the dial modem & play online games till sunrise @ the weekends for the sake of the safety of not ever getting denounced to my parents by _any_ possible noise

edit: they never caught me
JFYI, GLP-1 agonists have been in research and clinical use for about 20 years by now.

And while medical chemistry moves slowly, I have no doubt that we'll solve the exercise problem within the next decades. Never mind by the time we're talking about ascending on the Kardashev scale.
You have it backwards.

Politicians can be very very good at those things, when they have a reason to be.
Ask HN: Is OpenAI the New AOL?
I am old enough to have lived through the AOL era, and to remember that at one point AOL bought Time Warner. I lived the dot-com era and loved it all.

I am also a fan of Clayton Christensen's The Innovator's Dilemma, and connecting the dots I can't help but wonder what's after what comes next.

OpenAI is out there very prominently, but so was AOL; but the long game didn't belong to AOL, it was created by disruptive business models like Amazon/eBay, Yahoo->Google, MySpace->Facebook and others.

At the same time timelines are faster and more compressed in this AI-era than in the internet era.

So, what is around the corner? Who will leverage the second-to-market advantage standing on the shoulders of the early giants?
> if we can re-generate apps on the go with some sort of automated testing mechanism?

Ahh so once we solve the oracle problem and programming will become obsolete…
> I do agree that GLP-1s can't be a free lunch. It can't be that powerful for free.

Why? Life is not a morality play.
Trino C# Client
Developed by Microsoft, open sourced last week.
> I frankly consider far more likely that Harris have never worked in a McDonalds.

In retrospect, sadly, I think you're right. Snopes has it as "unproven" [1]. But it would explain the reason for a cosplay with that theme. That would be an interesting angle to discuss. Someone even bothered to photoshop Harris' face on an unrelated McDonald's employee picture from back in the day. But it was a fake! Was it one of her supporters, or a Trump supporter doing it. It ended up hurting her more than helping, in the end it seems.

> “So what are MAGA die-hards and faux-centrist Trump apologists talking about when they praise his drive-through stint as ‘amazing and hilarious’?”

The article seems to deliberately miss the whole parody part. That would make a juicy piece of cultural commentary, yet that part is missing. Sometimes, what is not talked about is a lot more interesting than what is talked about.

[1] https://www.snopes.com/fact-check/harris-mcdonalds-college/
That's the conventional take, but (as far as I can tell), the TPU program was also started under Sundar, which would have been a bold investment at the time, and looks like absolute genius in retrospect.

OpenAI might be well-capitalized, but they're (1) bleeding money, (2) no clear path to profitability, and (3) competing head-to-head with a behemoth who can profitably provide a similar offering at 10-20x cheaper (literally).

Google might be slow out the blocks, but it's not like they've been sitting on their hands for the past decade.
> agentic systems are already writing complete codebases

Examples?
The notion that Marc Andreessen has nothing of substance to do
and spends sufficient time monitoring Elon Musk's daily activities to provide objective reporting on the subject strains credulity but believe what you want. Care to address the glaring proof that maximized productivity isn't an obvious outcome of whatever the fuck it is that Elon Musk spends his time on or nah?
Those "spatial reasoning" questions look a lot like the IQ test I took as a kid (my parent brought me to the psychology department to be tested for some reason). I really struggled with those and it wasn't until years later, talking with some other folks, that I realized I couldn't visualize mental rotations as well as most people. because of that, I invested heavily in 3d computer graphics, which helped tremendously when I worked in structural biology.
You cannot get access to the tech without being a certain size to avoid people modifying images to avoid the filter.
I'd wager $100 per GB, so $3,200
> adding support for light/dark mode

It's there.

M-x invert-face

Then, type "default"

Also, checkout M-x customize-themes for some other decent built-in themes.
I'd rather be unproductive than live that intensely, drugs or early bed time and intense exercise nonstop.

I do exercise because it's fun, rather than to work more.
The person that I replied to tried to pretend that Kemi Badenoch had seriously disputed the existence of a sandwiches. I am not sure we deserve better politicians and journalists.

I am of the opinion that the vast majority of journalists are simply stenographers. I wouldn't expect them to do their job. Unfortunately you have do piece together the truth for yourself.
Repo title: Trino C# Client https://news.ycombinator.com/newsguidelines.html
Ask HN (comment edition):

I know we have plenty of people here doing AoC with their own personal challenges/restrictions on top. What are yours? Solving in an eso-lang? Self-imposed resource constraints (runtime/memory)? Only using Excel? Let's hear 'em.
Humans only respond to acute threats. As a society we don’t have a means of effectively responding to long-term threats. We seem to only care about the next 5-10 years. Our species is short sighted, but I suppose evolution will correct that, eventually.
It's probably not just a piece of IP. The question of competitive advantage (or comparative advantage) by companies (IBM in the 70s, Microsoft in the 90s, Intel for decades, TSMC, nVidia, and Apple recently) or by nation states (Japan in the 80s, Taiwan and S. Korea recently) is complex and often mysterious. Economists talk about core competencies, which is a combination of culture, training, work-ethic, supply chain, IP, and other things. If teasing these apart was easy, competitors would emerge more quickly.

Equally fascinating is why it goes away (Japan in the 90s, Intel recently).

I have been trying to figure out TSMC in particular but haven't yet, and I'm skeptical of anyone who claims it is one simple thing, or even anyone who claims they know all the reasons.
"See if you can match the above confidence from pre-automation traders with the comments displayed in this thread. You should plan for it aggressively, I certainly do."

Sounds like it was written by someone trying to keep any grasp on the fading reality of AI.
Lower rates of death from Alzheimer's disease among taxi and ambulance drivers
SaaS has generally been better than the local apps it replaced, particularly when you factor in 'portability'.

I love local apps but it's undeniable that developers having to split their attention between platforms lowered quality by a lot. You're probably remembering the exemplars, not the bulk which half-worked and looked bad too
My solution has been to work with LLMs and being on the one side of the industry trying to replace the other. I switched focus fairly early on in the "AI hype" era mainly because I thought it looked like a lot of fun to play with LLMs. After a few years I realized I'm quite a bit ahead of my of my former coworkers that stayed still. I've worked on both the product end and closer to the hardware, and as more and more friends ask for help on problems I've realized I do in fact have a lot of understanding of this space.

A lot of people in this discussion seem to be misunderstanding the way the industry will change with LLMs. It's not a simple as "engineers will be automated away" in the same sense that we're a long way away uber drivers disappearing from self driving cars.

But the impact of LLMs on software is going to be much closer to the impact of the web and web development on native application development. People used to scoff at the idea that any serious company would be run from a web app. Today I would say the majority of software engineers are, directory or indirectly, building web-based products.

LLMs will make coding easier, but they also enable a wide range of novel solutions within software engineering itself. Today any engineer can launch a 0-shot classifier that's better performing than what would have taken a team of data scientists just a few years ago.
Agree, I buy some Dahua POE cameras, It can be configured via browser locally with powerful AI feature, and work without internet access, although some drawbacks:

# Some of them are limited to 25 fps

# The model name are really a mess

# Some models are without hardware reset button, the only way to reset is register device to Dahua's cloud service with China phone number (although it is not enforced)
I can’t wait to try this new Protobuf Enterprise Edition, with its sea of getters and setters ad nauseam. /s

However I can get behind it for the lazy decoding which seems nice, though I doubt its actual usefulness for serious software (tm). As someone else already mentioned, an actual serious api (tm) will have business-scope types to uncouple the api definition from the implementation. And that’s how you keep sane as soon as you have to support multiple versions of the api.

Also, a lot of the benefits mentioned for footgun reductions smell like workarounds for the language shortcomings. Memory address comparisons, accidental pointer sharing and mutability, enums, optional handling, etc are already solved problems and where something like rust shines. (Disclaimer: I run several grpc apis written in rust in prod)
Are you certain? The immune system detects molecules partly due to their shape, i.e. where binding points are on the proteins. I can imagine it being the case where the immune system's proteins no longer match up with the invader's because of the mirroring.

If you 3d print a mirrored house key, the bitting may line up with the original, but the warding wouldn't fit anymore. I think that's a reasonable analogy to the way proteins match up.
This is why I haven't fully bought into Zigbee for any device that could possibly be wired and Wifi. I've already invested considerable money building a 2.4G (5G, really) wireless network: why not throw a few more relatively quiet devices on there. Zigbee is on the overcrowded 2.4GHz spectrum anyway.
This felt like an actual "this belongs in a museum" moment, in particular when it comes to notes from a former president.

Granted the benefit partly goes to an officially recognized well meaning fund:

> A portion of the auction’s proceeds will be donated to the Anne de Gaulle Foundation. Named for de Gaulle’s daughter, who had Down syndrome, the foundation provides housing and support to people with disabilities.

The "portion" part is still intriguing, I assume most of the proceeds will go elsewhere ?
Don't beat yourself up.

This guy - "I do actually know Rust, but I never learned how to use it. I just started writing it because I was born with an innate knowledge of the language, similar to how I know Java or Kotlin despite never having learned them."

My first words were "Dada!". This guys was "public static void main(String[] args)"
Even a monopolist is constrained by supply and demand. If they could sell everything they make as a 4090 without trashing their margins, they would. The fact that 4080, 4070, 4060 lines exist means they can't.
Does British campaigning not look very far into the past? In the US, an opposing candidate would absolutely say “the incumbent voted against the protect-children-from-online-predators act five years ago, don’t reelect them, vote for me” and it would be effective.
Have you considered bringing attention to fertility, demographics and social cohesion as a collective issue (thus national/corporate/etc) and not just a self-centered cultural issue is precisely the point?
What issues is Tesla not having, especially related to self driving?
Better yet, just plug in. Tesla.
>3. The best software will be open source, since it's easier for LLMs to edit and is way more trustworthy than a random SaaS tool. It will also be way easier to customize to your liking

From working in a non-software place, I see the opposite occurring. Non-software management doesn't buy closed source software because they think it's 'better', they buy closed source software because there's a clear path of liability.

Who pays if the software messes up? Who takes the blame? LLMs make this even worse. Anthropic is not going to pay your business damages because the LLM produced bad code.
> if Dan Luu -- who is certainly an intelligent and capable engineer -- and his coworkers can't figure out how to use your product correctly, and if your customer support also can't figure out why the sync breaks, then maybe this isn't mere customer 'arrogance'.

Dan Luu claims, among other things, to experience hundreds of software bugs per week. If you believe the things he writes then he's not at all representative of a normal customer.