skysight-inc/HackerNews huggingface dataset:
If it was me, I would use a local independent repair shop that has stayed in business awhile.

Any business that has to ship things off for repair is not qualified to do repairs.

As for brands, I would avoid those with short warranties plus depot service for mission critical machines.
The existence of various grades of a commodity says nothing about whether that commodity at those grades is fungible. Mostly it implies the opposite, in fact.
>The screenshot from the complainant shows this was not in a search context.

>Of course it does

No, of course it doesn't. Because there's a specific blue button for conducting web searches in chatgpt. And other visual indicators which are not present here.

So when I said "the screenshot shows", I was referring to things we could verify in the image, namely, that the question was not asked within a search context.

The top post you refer to, about Claude, is specifically about the search context which wasn't present here.

> The question shown in the screenshot is "who is Arve Hjalmar Holmen?". That's something someone would type into Google search, it's not "write me a fictional story about a man called Arve Hjalmar Holmen

Llms are daydream machines.

If you open a new window with an llm and ask it "what is ..." or "who is...", then you'll often get a constant-looking but completely false answer. Because that's how llms work. You can ask it, who or what is something you just made up, and it will trip over itself hallucinating sources that prove it
>I think one thing that needs to be understood better is the concept of "burnout".

I can explain it pretty well.

You can classify pretty much all jobs into 2 categories - map lookups and reasoning.

A map lookup job is something where you learn to associate a specific problem with a solution. Most jobs are like this. You go work in construction, its pretty much map lookup - supervisor tells you to go prep the concrete, you know the procedure to do it, you go do it. Even high end jobs like VPs are often map lookups, you aren't really thinking about solving any problems, just following the standard procedure of what works and are essentially relying on the actual work of lower ranked people to give you data.

Reasoning jobs are those where you don't have the solution for a particular problem in memory, so you figure it out. For example, business strategy, despite being non technical, is a reasoning problem - there are a lot of variables you have to consider, and success in this regard often involves things like figuring out what you have to do, which is a separate task than actually doing it.

Software engineering is interesting because it can be both. Setting up standard service stacks is often a map lookup job. The interviews themselves test on map lookup really, as most of the problems fall within the scope of pointer manipulation or n-linked lists, with memorizing specific hard ones in case you get asked those. But fundamentally, software development is a reasoning type job.

The burnout happens when someone in software engineering is good at map lookup, but is actually needed to do reasoning, and has no education or training on how to do the latter. For example, I worked at Amazon. Id estimate that if I asked a random sample of 100 engineers to give me http traffic from a service, 1 out of 100 of them would know how to do it, and only about 10 or so would be able to actually go figure it out on their own.

This is why people who are good at reasoning can really do any job well. If you take a software engineer who is extremely competent and can build complex solutions, and make them in charge of optimizing things like delivery, shipping and warehouse storage, or finance management of a company (excluding the emotional response to those jobs), they would be able to do it well.

Whereas people who are good at map lookups tend to be only good at certain jobs in certain quantities.
Tesla recalls more than 46,000 Cybertrucks over safety issue
Discussion on the front page https://news.ycombinator.com/item?id=43426022
Germany almost got the Eurofighter Typhoon, but it was not certified to carry nuclear weapons, and lacks SEAD mission capability for the next ~10 years.

There is nothing that can replace the Tornado in the German arsenal at the moment.
A good portion of people in such situations will have children or loved ones who will walk them through online portion.
Compulsion is in the amount of labor you need to perform, because you have to provide for food, shelter, etc for yourself and also make sure the rich have the riches, military has fancy toys and billionaries can play in colonization of mars.
Handling recovery codes is part of security. There are many gotchas even with a typical recommendation to print them and store them physically.
Well clearly you don’t need a tech union.
If, like me, you've always lamented that Jurassic Park sequels failed to update their dinosaurs with the science - particularly given the original's emphasis on relating dinosaurs to birds - then you may enjoy this short clip from Jurassic Park, updated with realistically feathered, birdlike dinosaurs: https://www.youtube.com/watch?v=WbCQxBTcyRk
Precedent might have no place in EU law but there are plenty of places where precedent does matter in statute law even if the precedent is advisory rather than binding. There is quite definitely a doctrine of precedent in Norway, see for instance [1].

[1] https://www.scandinavianlaw.se/pdf/39-14.pdf
Does CO2 build up in N95 masks? I did a test, heres the results [pdf]
The problem is defining negative impact and also timing. For example, I can stop doing backups and save time and money. There is zero negative impact right up until the point I need to use the backup, then the impact is catastrophic.
Paradoxically, the hardest jobs to automate are physical jobs it seems. A white collar worker is threatened by AI, blue collar not as much. I can totally envision AI software engineers (they’re already okay if you check their work), but as of yet there are no AI plumbers or mechanics. Maybe there won’t be, given the costs associated why producing physical machines vs software ones.
Collation rules already differ by locale or language in many programming languages, libraries, and applications.

This is necessary because the order of words or characters is sometimes only sensibly defined if you know the language a text is written in.
It seems their environmental impact was defined in terms of the (environmental) cost of mining gold. "The greatest environmental gain would instead be achieved by replacing gold with copper, aluminium or nickel, while maintaining the small amount of lead needed for the LED to function optimally."
What's the use case for putting AI into everything? Pretty much every AI product so far has been and still is subject to hallucinations and inaccuracies and on top of that it's hugely computing intensive. Sure, it's the best we have right now and it allows us to do things that were previously next to impossible with manual programming work, but it's far from being something that's actually viable. And what would be the use case for turning a picture into an approximated 3d mesh that is only really complete from one angle? LIDAR does a stunningly accurate job at that already, reproducibly (although granted that this cannot retroactively be applied to existing photos).
Biden, of course, didn't allow "unchecked, unlimited immigration into the country" and the accommodations used were not "luxury hotels". These anti-immigration talking points have been repeatedly shown to simply be lies.

If you want actual data to attribute blame, see https://www.cato.org/commentary/trumps-immigration-policies-... and recall how Trump caused a bipartisan effort to actually try to fix the immigration mess to collapse.
> Having 2 apps that operate slightly differently is okay—even under the same brand.

Perhaps if you those two apps are in completely different domains, but if you have a suite of apps that are all related, maintaining consistent styling and behaviour provides a much better user experience.

Essentially what you're saying is rails isn't capable of solving that problem, and if you're talking about efficiencies/profit, implementing a component _once_ is a better strategy, and actually less complicated than two similar implementations of the same component.
Interesting, because keyword search works quite well for me, and I assumed it was natural-language searchers who are getting worse results.
You say "likely never" but eventually we'll have covered the earth's surface in solar panels. Unless we are transitioning to space based solar and transmission we'll want fusion to increase energy generation beyond surface irradience of earth.

In the meantime, solar panels for massive generation also incur transmission costs to centralize that energy for any major energy usages. We might want to keep having high power generators next to super-high energy consumers. For instance our (theoretical) hyperspace communication and computation
array. Right now those usages are things like Arc Furnaces, Aluminum smelters, data-centers, ...

Plus, we'll want to have figured out that fusion tech so we can build it into our spaceships travelling out beyond Mars as an energy source and hopefully also a thrust source. We want to master that tech on Earth's surface for sure.
That's an interesting point about team composition. Companies originally split frontend from backend to scale up the number of developers they could put on projects. The idea was that each system could be a black box to the other team, and you may only need one person that understands it all end-to-end. The problem was that by splitting monoliths into multiple services they basically lost most of the advancements the industry had made to increase developer velocity. If your org was trending towards hyperscale, then you would have been transitioning to a multi-service architecture anyways, but for everyone else the move to SPAs resulted in a massive loss of productivity.

Listen, how impactful LLMs will be largely depends on the type of code teams are writing. If you're already building in a highly declarative manner, where your libraries are automatically handling most of the glue for you, then you may not have much of a need for writing code more quickly. These are the teams that are actually fast. Teams that already spend a bunch of time writing glue code will likely see significant improvements in velocity, because LLMs are good at regurgitating existing patterns. What they probably won't do is refactor your project so that your team starts operating on the level of the formerly described one.
Show HN: MCP Server for Local TTS
I threw together an MCP for on-device text-to-speech, which I use in Cursor to notify me when a long running task is complete. It's like `say` but a little more human.
Trying to find the silver lining in this makes me God's advocate I guess?

I was able to reflect a lot on my upbringing by reading reddit threads. Advice columns, relationships, parenting advice, just dealing with people. It was great to finally have a normalized, standardized world view to bounce my own concepts off. It was like an advice column in an old magazine, but infinitely big. In my early 20s I must have spent entire days on there.

I guess LLMs are the modern, ultra personalized version of that. Internet average, westernized culture, infinite supply, instantly. Just add water and enjoy a normal view of the world, no matter your surroundings or how you grew up. This is going to help out so many kids.

And they're not evil yet. Host your own LLMs before you tell them your secrets, people.
> Unions will kickstart the offshoring of our career

People are offshoring right now, and increasingly so. A union is arguably one of the only tools left to prevent offshoring, short of government intervention.
Maybe actually read the article.
thanks for this, it sounds pretty good.

link for anyone else: https://canopylabs.ai/model-releases
Could you please stop being a jerk in HN comments? You've unfortunately been doing it repeatedly:

https://news.ycombinator.com/item?id=43426074

https://news.ycombinator.com/item?id=43422797

https://news.ycombinator.com/item?id=43422170

https://news.ycombinator.com/item?id=43422160

We have to ban accounts that keep doing that, so if you'd please review https://news.ycombinator.com/newsguidelines.html and fix this, we'd appreciate it.
Claude isn't wrong. The baseline for entry level has just risen. The problem isn't that it's risen (this happens continuously even before LLMs), but the speed at which it has increased.
I've been using YAML professionally for a decade and other than forgetting to wrap some values in quotes, has been an absolute non issue.

Some people talk about YAML being a turing complete language, if people try to do that in your CI/CD system just fire them

I'll allow helm style templating but that's about it.
An F-104 would do the job, with modern avionics and engineering. If you want to guarantee bomber intercept capability, you have to be ready to tackle the nightmare scenario planes in the formation. The F-35 could intercept a Tu-95M with ease, but so could a F-16 or a F-117 armed with Sidewinders. You have to be capable of intercepting the real threats like the Tu-160 or Flanker strike formations, neither of which the F-35 can do much about.
> I had no idea it was even possible to meet a hot young woman who begs you to spit on her face on the first date.

This is quite off-putting. It's one thing if that's the author's particular fetish, but on the first date?

We all have our kinks, but I'd be concerned if a girl wanted to be degraded by a stranger. I really hope this isn't that common.
Grok's DeepSearch and DeeperSearch are also pretty good, and you can look at their stream of thought to see how it reaches its results.

Not sure how OpenAIs version works, but grok's approach is to do multiple rounds of searches, each round more specific and informed by previous results
Strategies for faster AI Agent ideas testing
Appeals court rules that Constitution protects possession of AI-generated CSAM
Something went horribly wrong if your coworkers are putting switching logic inside your config
However it used an engine based on the P&W JT8D which made it subject to US export approval. For this reason,for example, it lost a big export order to India.

SAAB had originally considered the British Olympus engine for the Viggen, which would have had higher fuel consumption but faster responsiveness and no export tangles.
I'll give you that. I was including those in "semantic space," but the distinction is fair.

My original point still stands: the space you've described cannot capture a full image of human cognition.
I also submitted a report for CVE-2011-3226 for a password-less login, referenced here: https://support.apple.com/en-us/103345
I still don't understand your point, sorry. What is the thing I'm supposed to be making up? You said 'dang just unflags things'. This isn't accurate, that's all.
Show HN: I've created the fastest open-source DNS bruteforcer using XF_ADP
Shinohara Rock-Paper-Scissors [pdf]
And henceforth, I'll equate that statement as a pithy one GPU level effort from whoever offers it.

"Make sure you write atleast a Jetson Orin Nano Super level message in the condolence card"
Part of the problem is that React monopolized the entire space and most other frameworks became legacy; not able to maintain even a tiny community.

The sad thing is that React's success, much like its parent company (Meta) is due primarily to network effects and not to merit.

This is why frontend development is so bad these days.
I'm glad you mentioned this. I asked Deep Research to lay out a tax strategy in a foreign country and it cited a ton of great research I hadn't yet found.
No, they generally do not compete on accuracy benchmarks afaik.

GitHub/openai/simple-evals is what I checked here, and no, openai do not compete on accuracy benchmarks as far as I can tell. So I'd be interested in seeing what led you to think that, and also what led you to earlier claim that anyone typing in the complainant's name saw the same hallucination.
It's quite odd that people think of hallucinations as a dealbreaker for LLMs. Have they ever even met a human being?
Just routine updates to base for routing as needed. Hundreds/thousands of pounds on board. They plan their fuel usage fairly meticulously so base will use it in further calculations.
> We have not abandoned this project. The team has just been busy trying to address other pain points around the Python + SQL experience. If you want a sneak peek, check out the new Python SQL driver (in alpha): microsoft/mssql-python

> That team will be looping back to this Django connector as soon as they can to add support for Django 5.2 (LTS). But to be transparent, I don't think that will happen until Q3, at the earliest.

"It's not abandoned, we just don't have anyone working on it", is such nice PR double speak.
Would you rather have layoffs at your company or have your company go out of business due to excessive labor costs?

Should poor performers be immune from layoffs? When is a layoff justifiable?

I'm free to leave my job at any time, so why shouldn't my employer be free to leave me?
The first four explanations of illustrations in my book delve into your off-topic point and bring it back on-topic:

https://impacts.to/downloads/lowres/impacts.pdf
I built HotMic – An open source voice to email app
I saw an app superwhisper that let you dictate emails. Essentially pass voice -> transcribe -> llm process -> paste bin. Figured I could build it pretty quick.

Help yourself and would love some help if you like it.

Uses groq under the hood but could add ollama pretty easily.

I was also curious how much I could generate vs write. It's all generated... :mind-blown:
Everyone I've met with a PhD was intelligent. Maybe not genius, but yeah, pretty damn intelligent.

If you want to spend your life in the pursuit of knowledge rather than mere money or status, it's kind of a prerequisite to demonstrate you can perform original research.

I honestly don't get the analogy with priests. They still seem utterly different to me.
Retro Boy: simple Game Boy emulator written in Rust, can be played on the web
Well yeah, isn’t manual vs mental labor the classic blue collar/white collar distinction?
Right. That was the detail that escaped me. Thank you.
Resistance heating is so 20th century. Granted, you likely cannot do a DIY air source heat pump build, but the COP is so high for such systems, that it's probably worth it to just buy it.
https://ghostarchive.org/archive/CQUDG
Until she finds your blog...
Hey HN! I've done a lot of work with querying large amounts of DNS scanning recently for my own projects, and I've found that the current available tools (massdns, dnsx, zdns) were lackluster in the performance and accuracy aspect.

Recently, I've learned about XDP and AF_XDP, which allows user-space programs to have a fast-path through the kernel and skip a large chunk of networking done by the kernel. This allows us to directly interact with the network interface TX queues, and send a lot of traffic very fast.

I initially started to do this because I was curious if it would work or not, but eventually I saw that it worked too well, so I polished it a little bit and released it as open-source.

Happy to answer any questions.
You may give a more semantic name for the screenshot, instead of "First metric", "Second metric".
is this kind of argument normal for you two?

what.. what other arguments have you had?

i request highlight reel
> The author is clear that they're talking about "billion dollar tech companies" for an audience of those people called to them.

> We’re in an industry where burnout isn’t just common - it’s expected. If you’re not pulling all-nighters, you’re "not committed." If you’re not answering Slack messages at midnight, you’re "not a team player." This culture is toxic, and it’s only getting worse. The relentless churn of projects, the constant pressure to innovate, and the ever-present threat of obsolescence create a perfect storm of stress.

No, the author is generalizing what work at a billion dollar tech company is like to the whole industry. I've never worked for a company similar to the one described in this post, and I think that the vast majority of people in tech haven't either. Silicon valley is not the world.

Either ways, unionizing sounds like a great idea.
Magical Instant Bullets
Just wow! It's crystal clear to me that double bind is at the core of so many of my internal struggles.

Your comment was literally eye-opening, thank you!
> This isn't a consequence of capitalism.

Yes, it is. The fact we have welfare isn't a refutation of that, it's proof. The welfare is a bandaid over the fundamental flaws of capitalism. A purely capitalist system is so evil, it is unthinkable. Those people currently on welfare should, in a free labor market, die and rot in the street. We, collectively, decided that's not a good idea and went against that.

That's why the labor market, and truly all our markets, are not free. Free markets suck major ass. We all know it. Six year olds have no business being in coal mines, no matter how much the invisible hand demands it.
Aye. https://www.zoopla.co.uk/
The quick answer (ending searches in a question mark) also seems pretty resilient to hallucinations. It prefers telling you that something wasn't mentioned in the top search results over just making something up
> rest of the world outside of tech, looks at tech and sees a bunch of very overpaid developers

They most certainly do, but it says A LOT more about them that they see developers as overpaid rather than themselves as underpaid.

Propaganda from the owners of capital has worked well by ensuring that anyone relying on an income is more likely to look left, right, and strike down than to ever consider looking up.
This sounds like a fascinating workshop! I love the structured approach of blending AI development, cognitive science, and Kotlin. The inclusion of OPENRNDR for creative coding makes it even more engaging.

I'm running a website called What is Differ, where we explore and explain differences between various concepts, including AI-related topics. Your breakdown of agentic AI development could make for an interesting comparison article on different approaches to building AI agents.

If you're open to collaboration or sharing insights, I'd love to connect!
Your win32 app would have been much faster with much less memory hogging though. I would prefer to run that compared to your React app.
COMMAND OUTPUT WALLCLOCK_SEC USR_SEC SYS_SEC
time find ~ -iregex '.*\.jpg$' | wc -l 14372 45.04 4.59 13.23
time find ~ -iregex '.*\.jpg$' | wc -l 14372 48.42 4.60 13.59
time find ~ -iname '*.jpg' | wc -l 14372 44.55 1.07 13.57
time find ~ -iname '*.jpg' | wc -l 14372 44.94 1.08 13.64
time fd '.*\.jpg$' ~ | wc -l 14325 4.01 2.67 24.16
time fd '.*\.jpg$' ~ | wc -l 14325 4.37 2.73 30.28
time fd -g '*.jpg' ~ | wc -l 14325 3.98 2.72 25.84
time fd -g '*.jpg' ~ | wc -l 14325 4.04 2.69 26.82

Good to use concurrency, predictable impact on all of the various timings. Different results vs. find for the same term (assumedly) are unexpected? Did I mess up the translations?
NATS Server v2.11
One of the ways I experiment with LLMs is to get them to write short stories.

Two axies: Quality and length.

They're good quality. Not award winning, but significantly better than e.g. even good Reddit fiction.

But they still struggle with length, despite what the specs say about context length. You might manage the script length needed for a kid's cartoon, but not yet a film.

I'll see if I can find another copy of the script; what I saw was long enough ago my computer had a PPC chip in it.
You wouldn't believe what else you can learn there.
If you are younger than maybe 10 years old, you'll never know that the US was smarter.