MurphyA/hacker-news huggingface dataset:
by bryanlarsen | 2025-11-04 13:42:22+00:00
> no-one had actually talked (listened) to any of the voters that put him in power?

That's BS. Clinton spent time in West Virginia despite it being a no hope state. Clinton spent lots of time talking to union reps who the rank and file voted to represent them. She developed a realistic plan to provide them education, retraining and money to develop other industries in their dying community.

OTOH, Trump just straight up lied to them. He said he'd protect their jobs, but coal jobs in his first term continued to decline at the same rate they did during Obama's. He did nothing for them.

Nobody tells you "I want you to lie to me and tell me what I want to hear" when you talk to them. Nobody says "I want you to give me an enemy to hate".

Clinton listened to what people actually said, and she lost.

Trump didn't listen to people's words, he listened to their actions. If something got a reaction, he doubled down on it.
by iamleppert | 2025-11-04 13:42:35+00:00
Oh, how I would love to work with you. I'd drown you in more meetings, documentation on code (LLM generated of course) than you could ever imagine.

You can use the LLM to generate as much documentation on the changes as you want. Just give it your PR. If someone tries to reject your vibe coded AI slop, just generate more slop documentation to drown them in it. It works every time.

If they push back, report them to their manager for not being "AI first" and a team player.
by shabinesh | 2025-11-04 13:42:41+00:00
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I’ve led engineering efforts spanning from core platform design to large-scale service deployments, with an emphasis on clarity, reliability, and developer experience.

I’m looking for roles such as:

Principal / Staff Engineer

Architect – Platform or Distributed Systems

Engineering Lead
Show HN: MockXP – AI that helps you prepare for interviews, not cheat them
by thatguywho | 2025-11-04 13:43:22+00:00
Lately, I’ve noticed people using tools like Interview Copilot. These tools tell you what to say during a live interview. The AI listens and types an answer for you to repeat.

That seems wrong. If you get the job that way, what happens next? You can’t have AI feeding you answers in every meeting. Also, most interviewers can spot when someone is delivering rehearsed, robotic lines.

I understand why people turn to it. Interviews are stressful. You might freeze up, ramble or forget what you actually know. But AI should help improve your skills, not do the work for you.

That's why I created MockXP, an AI interview prep app. It allows you to practice unlimited mock interviews, receive instant feedback and track your progress until you sound confident and natural. It uses models that focus on real interview patterns, not generic Q&A bots.

Think of it like sparring before a big fight; you develop muscle memory instead of relying on a teleprompter.

I’m curious what HN thinks. Is using AI during interviews crossing a line, or is this the direction we’re heading?

App Store link - https://apps.apple.com/us/app/interview-prep-ai-mockxp/id675...
by wazoox | 2025-11-04 13:43:56+00:00
I'm late too, sorry but I don't have Teams meeting very frequently, only when I'm invited to one, AFAICT it works like with any other browser, I can share my screen, I see the others and they see me, etc. Nothing special really.

It worked for a long time, I've been using Linux only for the past 25 years :) The Linux version of the Teams application never worked properly OTOH.
by u_sama | 2025-11-04 13:43:57+00:00
Fuly agree, LVT seems to be a good incentive. As well as de-regulating, easing or digitilazing all the bureaucratic processus related to building so that the time between wanting to build and actually built nears 0. Also introduce anti-democratic laws that push the will of the group over the individual house owners who are motivated to block new contructions to see their number go up.
by notepad0x90 | 2025-11-04 13:44:12+00:00
> This does not preclude reasoning.

It does not imply it either. to claim reasoning you need evidence. it needs to reliably NOT hallucinate results for simple conversations for example (if it has basic reasoning).

> Because I see them solve real debugging problems talking through the impact of code changes or lines all the time to find non-obvious errors with ordering and timing conditions on code they’ve never seen before.

Programming languages and how programs work are extensively and abundantly documented, solutions to problems and how to approach them,etc.. have been documented on the internet extensively. It takes all of that data and it completes the right text by taking the most correct path way based on your input. it does not actually take your code and debug it. it is the sheer volume of data it uses and the computational resources behind it that are making it hard to wrap your head around the difference between guessing and understanding. You too can look at enough stack overflow and (poorly) guess answers for questions without understanding anything about the topic and if you guess enough you'll get some right. LLMs are just optimized to get the amount of correct responses to be high.
by xanderlewis | 2025-11-04 13:44:23+00:00
So you don't think it's relevant at all? Really?

It seems completely obvious that AI companies benefit massively from (and in many cases likely only continue to stay afloat because of) 'research papers' like this.

I also don't think a scientist purely interested in the truth would be claiming anything about concepts like 'introspection' that are nebulous and only really serve to capture the imagination of the general public (and, of course, investors).

The difference between AI and the pharmaceutical industry should be clear: one produces products of undeniable value, and the other is largely built on hype and endless dreaming of what might come next, but so far hasn't.
by tonyarkles | 2025-11-04 13:44:30+00:00
> The issue is the level of mathematical sophistication one has when a certain concept is introduced. That often defines or at least heavily influences how one thinks about it forever.

That was one of the most interesting things of my EE/CS dual-degree and the exact concept you're describing has stuck with me for a very long time... and very much influences how I teach things when I'm in that role.

EE taught basic linear algebra in 1st year as a necessity. We didn't understand how or why anything worked, we were just taught how to turn the crank and get answers out. Eigenvectors, determinants, Gauss-Jordan elimination, Cramer's rule, etc. weren't taught with any kind of theoretical underpinnings. My CS degree required me to take an upper years linear algebra course from the math department; after taking that, my EE skills improved dramatically.

CS taught algorithms early and often. EE didn't really touch on them at all, except when a specific one was needed to solve a specific problem. I remember sitting in a 4th year Digital Communications course where we were learning about Viterbi decoders. The professor was having a hard time explaining it by drawing a lattice and showing how you do the computations, the students were completely lost. My friend and I were looking at what was going on and both had this lightbulb moment at the same time. "Oh, this is just a dynamic programming problem."

EE taught us way more calculus than CS did. In a CS systems modelling course we were learning about continuous-time and discrete-time state-space models. Most of the students were having a super hard time with dx/dt = A*x (x as a real vector, A as a matrix)... which makes sense since they'd only ever done single-variable calculus. The prof taught some specific technique that applied to a specific form of the problem and that was enough for students to be able to turn the crank, but no one understood why it worked.
by embedding-shape | 2025-11-04 13:45:00+00:00
The exact country isn't clear, it depends from country to country. Spain for example have "arraigo social", where I think if you've stayed for 3 years (illegally/legally) and can demonstrate you've ended up in some sort of "link" with Spanish society (like having a permanent job) you can apply for a "temporary residence and work permit". Once you have that, you're legal and you could apply for permanent residence and eventually citizenship, granted you fulfill those requirements.

I have a bunch of friends, with jobs ranging from bartenders to software developers, who've successfully were allowed to stay in the country after doing things that way, initially staying illegally and later regularized their situation.
by lproven | 2025-11-04 13:45:19+00:00
> a problem with the people choosing it than the technology itself.

Which is, I think, the key point of the OP's article.

And my response to this is:

We need objective, scientific, real-world measurements of PL efficiency, so that informed judgements can be made free of cognitive bias.

This is how science works. Especially medicine. But programmers seem to feel that they are above this stuff.
by npteljes | 2025-11-04 13:45:40+00:00
I think the regular Windows versions are not worth it. Sure you can debloat the current configuration of the system, but it's a continually updated product, so it won't stay the same. Configurations will be overwritten, components reinstalled, etc.

This depends a lot on the person, and their lifestyle, I personally had enough of it. I like to set it, and (mostly) forget it.
by Lord-Jobo | 2025-11-04 13:45:57+00:00
No wonder our leaders have gotten along so well in modern history (U.S.)

What is happening in these modern democracies that has led to this sick embrace of cruelty, pessimism ,and apathy?

It really feels like pessimism is the rot or maybe anti-optimism; how can things ever get better if the culture rejects the idea that better things are possible?

Better things are possible, very difficult, and extremely necessary. Fight for it.
by embedding-shape | 2025-11-04 13:46:16+00:00
> You need a work permit to get a job, not the other way around

To legally get a job yes, but that tends to not be super effective at stopping people, and even if the job itself is illegal, it can count as something that links you to the society where you want to regularize your situation.

Heavy "it depends on the country" since we're talking Europe-wide here.
by quitspamming | 2025-11-04 13:46:25+00:00
> That said, there is one party that is consistently hawk-ish and boasts about war spending. And there is another party which most often campaigns on reducing war spending.

Maybe if you only look at the war on terror years, but look at WWI and WWII and most recently Ukraine. Both parties love Pentagon spending when it's _their_ war.
by FeloniousHam | 2025-11-04 13:47:02+00:00
I am confuse. I don't know how much Amazon cares about what's sold on their site (probably more than eBay?), but they have most liberal return policy on the internet, and from the one seller I've personally met, they're hard on vendors.

Bad products and services exists in all markets, choice is the cure.

Is it Amazon branded products your upset with? I guess don't buy them? I genuinely do not understand your argument.
by klinquist | 2025-11-04 13:47:05+00:00
A project I copied from a previous HN submitter:

https://aschmelyun.com/blog/i-invited-strangers-to-message-m...

I chose a different architecture + a YouTube livestream.

Available from 6AM-9PM Pacific time to keep the printer from making noise while I sleep. All source code on GitHub.
by thisisit | 2025-11-04 13:47:07+00:00
Just couple of hours ago I was discussing this with a Principal Architect. He is responsible for all the finance workflows. We had just come out of product demo where the vendor showed workflows which were 100% auditable, explainable and deterministic. It required human in the loop to double check AI's work.

The feedback from the architect was that the vendor was way too cautious in using AI. Nearly all vendors he has seen so far were too cautious. He lamented that no one was fully unleashing AI. They could achieve that by allowing read/write access to confidential data like ERP/CRMs and access to internet while being fully non-deterministic. Then AI could achieve lot more.

I explained that AI being right 95% of the time is still not good enough for finance workflows but he wouldn't budge. He kept repeating that non-deterministic and remove human in the loop is the way to go. I silently promised myself to stay away from any AI projects he might be part of.
by npteljes | 2025-11-04 13:47:39+00:00
Yes and no. No, because sometimes Windows cannot be reasonably substituted, to no fault to the user. The usual suspects, multiplayer games, some software, when you need complete interoperability, etc.

By the way, that 95% is lower actually. If you count ProtonDB's Plat + Gold for the top 1000 played games on Steam, it's 81%. For plat+gold+silver, it's 89%.

Source: https://www.protondb.com/dashboard
by rozenmd | 2025-11-04 13:48:37+00:00
There are increasingly more status pages that automatically update based on uptime data (I built a service providing that - OnlineOrNot)

But early-stage startups typically have engineering own the status page, but as they grow, ownership usually transfers to customer support. These teams optimize for controlling the message rather than technical detail, which explains the shift toward vaguer/slower incident descriptions.
by torginus | 2025-11-04 13:48:44+00:00
I think it has more to do with the 'common wisdom' dictating that this is the way to do it, as 'we've always done it like this'.

Which might even be true, since cloud based software might offer conveniences that local substitutes don't.

However this is not an inherent property of cloud software, its just some effort needs to go into a local alternative.

That's why I mentioned Home Assistant - a couple years ago, smart home stuff was all the rage, and not only was it expensive, the backend ran in the cloud, and you usually paid a subscription for it.

Nowadays, you can buy a local Home Assistant hub (or make one using a Pi) and have all your stuff only connect to a local server.

The same is true for routers, NAS, media sharing and streaming to TV etc. You do need to get technical a bit, but you don't need to do anything you couldn't figure out by following a 20 minute Youtube video.
by ajross | 2025-11-04 13:50:22+00:00
> Theres a high level of dislike for him probably justly earned.

Pretty much. At the same time, he didn't blow it all up. Cheney sits in the same class as figures like Kissinger. You can view them as Machiavellian overlords doing terrible things in pursuit of their personal agendas, sure.

But those agendas turn out... maybe not to be so terribly terrible in hindsight? I'm not saying the Iraq war wasn't a terrible mistake or that the end result of the fighting in Vietnam was worth the horrifying suffering of its people. But the post-war and post-cold-war USA hegemony was defined by a single nation with a strong executive able to wield these terrible powers to terrible effect, with really very little check on its external (or internal) actions.

And, again, they didn't blow it all up. And I think that counts for something. Especially in the current climate where we're looking at a much less temperate regime actively trying to blow it all up.

I guess I'm saying that I'd trust Cheney with the buttons and levers and know that my kids could fix what he broke. I'm not so confident now.
by Bender | 2025-11-04 13:50:54+00:00
Why isn't there a universal + standard VoIP/data SMS-like message protocol?

Corporate Capture. If there were a universal protocol used by the big platforms then people could use one application to connect to each.

Has there been standards before?

This used to be a thing with MSN, ICQ, AIM, Yahoo, etc... They each had their own standard but the difference from today is those standards were open and one could connect directly to them with a stand-alone application. Pidgin, Trillian, others. It used to be people could use one application to connect everywhere thus avoiding most telemetry, advertisement, etc... That is precisely what they do not want. They want to control the flow of data and capture advertisement monetary options for all users. There are web tools today to strip telemetry and advertisement but they know most people on mobile devices will not bother to do this whereas a stand-alone application that could connect to everyone would just ignore the telemetry requests and advertisements on everything. It's also easier to force people to receive advertisements if they control the full data flow meaning if someone blocks it they can break the application flow "It appears you are using an ad-blocker" and such. With a single stand-alone tool people could choose to move to any platform easily.

What's more, with a single stand-alone application it is easier for people to properly E2EE/MLS encrypt conversations such as OTR (off the record) or other custom tools and exchange keys out-of-band making lawful intercept on the server impossible on all platforms. If people start encrypting their conversations not only is lawful intercept impossible but they can not use AI to learn what people are talking about. One simply connects to any small semi-trusted XMPP/IRC to exchange keys/identities then one need only share a fingerprint on the big platforms to boot-strap secure communications. OTR was just an example. It is in desperate need of forking and enhancements. Some big platforms claim to use E2EE but it is literally impossible for a server to manage this without having a way to inject something to perform lawful intercept. E2EE must be managed entirely out-of-band by a stand-alone open source client not controlled, created or contributed to by any of the platforms. When people argue against this they are just invoking a coping mechanism.

In summary, big platforms will never implement open protocols and open them directly to the public until such a time they can address all the capabilities mentioned. Corporate capture, advertising, AI monitoring, lawful intercept preventing user MLS encryption.
by utopiah | 2025-11-04 13:51:43+00:00
And because ALL the marketing AND UX around LLMs is precisely trying to imply that they are thinking. It's not just the challenge of grasping the ridiculous amount of resources poured in, which does including training sets, it's because actual people are PAID to convince everybody those tools are actually thinking. The prompt is a chatbox, the "..." are there like a chat with a human, the "thinking" word is used, the "reasoning" word is used, "hallucination" is used, etc.

All marketing.
by npilk | 2025-11-04 13:51:44+00:00
But for a broader definition of "personal computer", the number of computers we have has only continued to skyrocket - phones, watches, cars, TVs, smart speakers, toaster ovens, kids' toys...

I'm with GP - I imagine a future when capable AI models become small and cheap enough to run locally in all kinds of contexts.

https://notes.npilk.com/ten-thousand-agents
by throw0101c | 2025-11-04 13:51:49+00:00
> Jack Welch is very well-deservedly not receiving love.

He may have eventually have 'found religion':

> Regarding shareholder value, Welch said in a Financial Times interview on the 2008 financial crisis, "On the face of it, shareholder value is the dumbest idea in the world. Shareholder value is a result, not a strategy...your main constituencies are your employees, your customers and your products."[69]

* https://en.wikipedia.org/wiki/Jack_Welch#Politics

However this was probably much later and when his image was less influential; his earlier career and fame probably really helped accelerate financialisation, and was probably never reset by his later opinions (partly because they may not have been as widely publicized).

Though on climate change:

> Welch identified politically as a Republican.[66] He stated that global warming is "the attack on capitalism that socialism couldn't bring", and that it is a form of "mass neurosis".[67] Yet he said that every business must embrace green products and green ways of doing business, "whether you believe in global warming or not ... because the world wants these products".[68]

* Ibid
by dagss | 2025-11-04 13:52:26+00:00
Consider this:

If you just took a time machine 10 years back, and asked people to label activities done by the humans/the human brain as being "thinking" or not...

...I feel rather certain that a lot of those activities that LLM do today we would simply label "thinking" without questioning it further.

Myself I know that 10 years ago I would certainly have labelled an interactive debug loop where Claude adds debug log output, reruns tests, diagnose the log output, and fixes the bug -- all on its own initiative -- to be "thinking".

Lots of comments here discussion what the definition of the word "thinking" is. But it is the advent of AI itself that is making us question that definition at all, and that is kind of a revolution itself.

This question will likely be resolved by us figuring out that the word "thinking" is ill-defined and not useful any longer; and for most people to develop richer vocabularies for different parts of human brain activity and consider some of them to be more "mechanical". It will likely not be resolved by AI getting to a certain "level". AI is so very different to us yet can do so many of the same things, that the words we commonly use start breaking down.
by notepad0x90 | 2025-11-04 13:52:33+00:00
We do a lot of autocompletion and LLMs overlap with that for sure. I don't know about the "vast majority" even basic operations like making sure we're breathing or have the right hormones prompted are not guesses but deterministic algorithmic ops. Things like object recognition and speech might qualify as autocompletion. But let's say you need to setup health-monitoring for an application. that's not an autocomplete operation. you must evaluate various options, have opinions on it, weigh priorities,etc.. in other words, we do autocompletion but even then the autocompletion is a basic building block or tool we use in constructing more complex decision logic.

If you train an animal to type the right keys on a keyboard that generates a hello world program, you didn't just teach them how to code. they just memorized the right keys that lead to their reward. a human programmer understands the components of the code, the intent and expectations behind it, and can reason about how changes would affect outcomes. the animal just knows how the reward can be obtained most reliably.