MurphyA/hacker-news huggingface dataset:
by ants_everywhere | 2025-12-03 00:35:29+00:00
Big Brother is a reference to George Orwell's critique of Communism in Nineteen Eighty-Four.

Qwen is a video model trained by a Communist government, or technically by a company with very close ties to the Chinese government. The Chinese government also has laws requiring AI be used to further the political goals of China in particular and authoritarian socialism in general.

In the light of all this, I think it's reasonable to conclude that this technology will be used for Big Brother type surveillance and quite possible that it was created explicitly for that purpose.
by PunchyHamster | 2025-12-03 00:35:38+00:00
It's a very reasonable claim to make, but yes, average denizen of peanut gallery can spot this is a bubble from a mile way, doensn't need "insight" of napkin math done by some CEO that's not even in the industry.

Tho he's probably not too happy that they sold the server business to Lenovo, could at least earn something on selling shovels
by neilv | 2025-12-03 00:35:48+00:00
I live in town, and walk past countless stopped and moving cars every day.

I also know how the tech industry makes decisions about safety and responsibility (hahaha...). And I have seen some of the recent changes that automakers have somehow slipped past safety regulators. So it seems foolish to trust any of them on this safety issue.

Do we all have to move to rural areas, if we want to be able to go outside without wearing laser safety goggles?
by apical_dendrite | 2025-12-03 00:36:21+00:00
Parents really like the convenience and the feeling of safety they get when their kid has a phone. If they have to change school pickup plans they'd much rather text their kid than call and leave a message with the school office and then hope that the office gets the message to their kid.

We're so used to being able to get in touch with our family members at all times that it feels really unnerving when your kid isn't immediately accessible.

And the parents who complain think that their kids aren't the ones who are addicted to their phones.

That's why these bans needed to happen at the state or school district level - expecting individual teachers to have to spend their time arguing with parents and kids over cell phones was just not realistic.
by pharos92 | 2025-12-03 00:36:51+00:00
I find it disturbing how long people wait to accept basic truths, as if they need permission to think or believe a particular outcome will occur.

It was quite obvious that AI was hype from the get-go. An expensive solution looking for a problem.

The cost of hardware. The impact on hardware and supply chains. The impact to electricity prices and the need to scale up grid and generation capacity. The overall cost to society and impact on the economy. And that's without considering the basic philosophical questions "what is cognition?" and "do we understand the preconditions for it?"

All I know is that the consumer and general voting population loose no matter the outcome. The oligarchs, banking, government and tech-lords will be protected. We will pay the price whether it succeeds or fails.

My personal experience of AI has been poor. Hallucinations, huge inconsistencies in results.

If your day job exists within an arbitrary non-productive linguistic domain, great tool. Image and video generation? Meh. Statistical and data-set analysis. Average.
by cal_dent | 2025-12-03 00:37:49+00:00
I think of it as "introducing friction". There's a lot things that we do now which is largely as a result of frictionless ease of doing it. Smartphones and social media are the obvious one, but it applies to many technology/digital driven behaviour (pay with face id/touch and people end up consuming more for instance). And it's no surprise to me that what works for a lot of people is putting their phone somewhere else in their house. Essentially introducing artificial friction.

My slightly cynical view is for many of us we're more often lazy than not and default to doing the most frictionless thing. Introduce friction and very quickly I find it forces you to think about what you're actually doing
by Patrick_Devine | 2025-12-03 00:38:47+00:00
5 years is normal-ish depreciation time frame. I know they are gaming GPUs, but the RTX 3090 came out ~ 4.5 years before the RTX 5090. The 5090 has double the performance and 1/3 more memory. The 3090 is still a useful card even after 5 years.
by shagie | 2025-12-03 00:38:49+00:00
> Old days: Get the O'Reilly book for that programming language. Lookup access modifiers in the index. 10 year ago: Google for a blog with an intro to the programming language. There will be a tip about what access modifiers can do. Today: Ask ChatGPT. In my (somewhat contrived) example, the how is changing, but not the what.

The tangent to that is it is also changing with the how much one internalizes about the problem domain and is able to apply that knowledge later. Hard fought knowledge from the old days is something that shapes how I design systems today.

However, the tendency of people who reach for ChatGPT today to solve a problem results in them making the same mistakes again the next time since the information is so easy to access. It also results in things that are larger are more difficult... the "how do you architect this larger system" is something you learn by building the smaller systems and learning about them so that their advantages and disadvantages and how and such becomes an inherent part of how you conceive of the system as a whole. ... Being able to have ChatGPT do it means people often don't think about the larger problem or how it fits together.

I believe that is harder for a junior who is using ChatGPT to advance to being a mid level or senior developer than it is for a junior from the old days because of the lack of retention of the knowledge of the problems and solutions.
by pb7 | 2025-12-03 00:40:36+00:00
>Obviously if a country has 30% people of a certain ethnicity and in your employ it's 2% you're doing something wrong.

Do you apply this to everything? Like say, a sports team?

>The world is much bigger than the US and big tech.

Anything impressive to show for it? Because it really seems like all this focus on diversity is your downfall not your strength.
by 131hn | 2025-12-03 00:40:39+00:00
They are trained with 100% true facts and sucessfull paths.

We humans grec our analysis/reasoning skills towards the 99.9999% failed attempts of everything we did, uncessfull trials and errors, wastefull times and frustrations.

So we know that behind a truth, there’s a bigger world of fantasy.

For LLM, everything is just a fantasy. Everything is as much true as it’s opposite. It will need a lot more than the truth to build intelligence, it will require controled malice and deceptions
by davidnc | 2025-12-03 00:41:21+00:00
I was curious about this - if my Google results are accurate, it looks like the stock actually peaked in June 2007, the same month that the iphone was released.

It seems that Blackberry's market share of new phone sales peaked at 20% in 2009. So I'm not sure if it's coincidence, but it looks like the market actually did a pretty good job of pricing in the iphone/android risk well before it was strongly reflected in sales.
by parliament32 | 2025-12-03 00:41:49+00:00
It absolutely happens, and often. I don't know when the last time you tried to hire was but things are absolutely brutal right now. The most common is personnel who think they can get away with an hour or two of work a day (whether they're working multiple jobs or just screwing around at home is hard to say). Second is bait-and-switch where the interviewee is not the person who shows up day 1.. after four (!) incidents in a quarter we had to mandate at least one in-person interview during the hiring process which seems to have helped.
by johnnyanmac | 2025-12-03 00:42:03+00:00
>not having preference between working on three parts of the system is not abnormal.

I suppose it depends on the team and industry. This would be unheard of behavior for games, for example. Why you taking a pay cut and likely working more hours to just say "I don't know, whatever works?". You'd ideally be working towards some sort of goal. Management, domain knowledge, just begin able to solve hard problems.

Welp, to each their own I suppose.
by throwaway31131 | 2025-12-03 00:42:50+00:00
100GW per year is not going to happen.

The largest plant in the world is the Three Gorges Dam in China at 22GW and it’s off the scales huge. We’re not building the equivalent of four of those every year.

Unless the plan is to power it off Sam Altman’s hot air. That could work. :)

https://en.wikipedia.org/wiki/List_of_largest_power_stations
by visioninmyblood | 2025-12-03 00:43:44+00:00
I agree claude and chatgpt and even gemini does a poor job in detecting and cropping into a region. Some of the simplest tasks, Qwen also is great at summerization but not into solving simple vision tasks like cropping, segmentetation and detection. Here is an examples where we compared claude, gemini, chatgpt and other frontier models for simple(and complicated) visual tasks https://chat.vlm.run/showdown#:~:text=Crop%20into%20the%20cl...
by teachmetolearn | 2025-12-03 00:43:53+00:00
Hey HN, just wanted to share a tool that I built to auto adopt your unifi devices.

This was built for some friends of mine who are low voltage installers.

I was in their office one day and saw them SSH one by one, into every single wifi hotspot to send a adoption request to their unifi controller.

I thought I can probably build a better system using Claude code in a few hours. It ended up taking a bit longer but I tried out a few frameworks and settled on rust with the iced frontend.

Feel free to look at the code and see whats up, heads up this was vibe coded with Claude code and my first time touching rust.

Tell me what you think :)
by rainsford | 2025-12-03 00:45:24+00:00
I'm glad there are free alternatives to Let's Encrypt, but a major PKI provider also being by far the largest browser provider feels like a disaster waiting to happen. The check on PKI providers doing the right thing is browsers including them (or not) in their trust stores. Having both sides of that equation being significantly controlled by the same entity fundamentally breaks the trust model of WebPKI. I'm sure Google has the best of intentions, but I don't see how that's in any way a workable approach to PKI security.
Show HN: Dependency-aware context management for LLM coding workflows
by saleh_ | 2025-12-03 00:46:11+00:00
If you are using Cursor or Claude Code, you must try this open-source tool—it will save you MONEY and TIME.

If you're building complex projects and your context keeps getting larger, losing track of what's current and what's outdated, you're going to love this.

THE PROBLEM:

When using LLMs to build products, we generate tons of context—requirements, specs, design docs. But then:

Can't tell which document is the latest/authoritative No traceability between layers (business → system → code → tests) Upstream requirements change, downstream doesn't get updated Your LLM uses STALE context → incorrect output Burning tokens on entire files when you need specific snippets THE SOLUTION: contextgit

A tool built specifically for LLMs to trace context efficiently.

Instead of dumping entire files into context, contextgit lets your AI navigate requirements like a graph database—extracting only what's needed.

Extract ONLY relevant snippets (save tokens = save money)

Track relationships: business → system → architecture → code → test

Auto-detect staleness via checksums

Full JSON output for LLM integration

See project health: orphaned requirements, broken links, stale items

KEY USE CASES:

LLM-driven development: AI asks for requirements by ID, not entire docs

Massive token savings: Feed 20 lines instead of 5,000

Auto-detect stale context: LLMs know when requirements are outdated

CI integration: Block PRs with stale requirements

REAL IMPACT:

Instead of: LLM reads 5000-line docs → wastes tokens

Now: contextgit extract SR-010 → 20 lines → saves hundreds in API costs

If you find this useful, please star the repo!

100% open source (MIT), production-ready (v1.0.1). This is the missing piece for LLM-driven development.
by Genego | 2025-12-03 00:46:41+00:00
SEEKING WORK | Full-stack Python/Django Developer (Creative AI Focus: GenAI Image & Video Generation)

Location: Thailand (UTC+7) Remote: Only Technologies: Django, Python, HTMX, Tailwind, Postgres, image generation pipelines, LoRA training workflows Résumé/CV: https://edwin.genego.io Email: edwin@genego.io

I am a SR. SWE building production systems and workflows with GenAI. I am currently specializing down the road of creating digital characters and universes through diffusion models (both video as well as images). On my blog (https://edwin.genego.io) you will find extensive case study material on the topic, as well as a showcase of my own creative skills. Keep in mind that I come to this through the lense of applied-GenAI and not a pure AI/ML background; although I have worked with AI/ML teams well before 2022.

I am currently looking for a startup, company, agency or anyone really that is doing world, universe or character building with AI. Whether this is through GenAI models by building IP or something else. my current work spreads 50+ custom management commands for AI image generation, character IP systems, scene replication with layered prompt architecture; which is more or less openly documented on my website. What I am also looking for is fractional or project work (2-6 week cycles) involving generative AI, creative tooling, or content pipelines. https://edwin.genego.io/blog
by monster_truck | 2025-12-03 00:46:46+00:00
Seriously. 24/7 adds up faster than most realize!

The idle wattage per module has shrunk from 2.5-3W down to 1-1.2 between DDR3 & DDR5. Assuming a 1.3W difference (so 10.4W for 8760 hours), a DDR3 machine with 8 sticks would increase your yearly power consumption by almost 1% (assuming avg 10,500kWh/yr household)

That's only a couple dollars in most cases but the gap is only larger in every other instance. When I upgraded from Zen 2 to Zen 3 it was able to complete the same workload just as fast with half as many cores while pulling over 100W less. Sustained 100% utilization barely even heats a room effectively anymore!
by jmye | 2025-12-03 00:46:50+00:00
I suppose I’m not clear what threat someone clinging to debris in the middle of the ocean continues to pose that would necessitate anything other than rescue and detention.

It seems, rather, that that’s not happening because the military and the Commander-in-Chief are scared that they might find a microphone, rather than any actual real concern about, well, any threat they might pose.

Does having a vague bias make an organization no longer “media”?
by bigC5560 | 2025-12-03 00:47:03+00:00
As someone who graduated from high school in 2025 I completely agree with this. I am glad I had to work it out on my own, and I don't think this is a place that a school should take control. If I had to figure this out along with the stress of college, I don't know if I would be able to handle it. I also think that it has helped with my overall time management skills and prioritizing my time.

I know not everyone will have the same experience as me, but I just feel like learning to manage it on my own was overall beneficial for me in the end.
by clintmcmahon | 2025-12-03 00:49:45+00:00
What about hiring junior developers to do the work I don't want to spend time training AI to do? Humans retain context, over time learn the ins and outs of the business and will sit in a meeting with stakeholders to gain understanding of the business rules and ask the 'stupid' questions that need to be asked.

I would much rather have that junior take some hacks at building some features with AI along with my guidance than context switching over to AI just to walk it through doing a task which means having to explain the business and our business rules over and over again.

To me cutting out a junior developer adds more time for senior developers than making their work lighter.
by wordpad | 2025-12-03 00:50:00+00:00
Just like .com bust from companies going online, there is hype, but there is also real value.

Even slow non-tech legacy industry companies are deploying chatbots across every department - HR, operations, IT, customer support. All leadership are already planning to cut 50 - 90% of staff from most departments over next decade. It matters, because these initiatives are receiving internal funding which will precipitate out to AI companies to deploy this tech and to scale it.
by samdoesnothing | 2025-12-03 00:50:28+00:00
Crazy that you're getting downvoted. You're right about everything. Well, maybe about rust on the backend...

The world is fundamentally different than it was 50 years ago and the same boomer platitudes no longer make sense. We are going to suffer a global economic collapse in the near future (conveniently when the generations to blame are retired or dead) and it's going to reshape our world and what labor looks like.

I just hope that my generation will be kinder to future generations than the last.
by chihuahua | 2025-12-03 00:50:44+00:00
I agree. To explain further, it's easy as an outsider to call somebody else "lazy", but the outsider doesn't know how hard Id worked to finish Doom. Game development is famous for months-long crunch time death marches with 7-day 16-hour days. It's easy to say "you've been doing crunch for 6 months, here's another task for you: add PC speaker music" but it might be the thing that drives the game dev who has to do it over the edge. Are they being "lazy"? Are they just sitting around doing nothing, when they could be working on PC speaker music?

While it might have been possible to add PC speaker music, would it have been worth the effort at the time? How much would it have delayed the release of the game? Would anyone have cared very much about being able to have terrible quality music on their PC speaker?
by jmye | 2025-12-03 00:51:18+00:00
I find myself increasingly concerned that, when not asked to explain their views, people will take vague posts that pretend to be factual as actually factual, because media literacy is basically non-existent.

I don’t need to be in a sixteen comment “debate”, but I think there’s sometimes a lot of value in one or two questions that might expose a comment for what it is.

But your point is definitely well taken!
by adammerheb98 | 2025-12-03 00:52:42+00:00
I built an AI assistant for real estate agents and home service businesses. It handles lead intake, qualification, scheduling, FAQs, and follow-ups through a website chat widget or embedded form.

Features include: • Automated lead capture and qualification • Calendar-based scheduling • Email/SMS alerts • Simple CRM tracking • Workflows for common tasks (showing requests, estimate requests, reminders)

The goal is to reduce repetitive communication and speed up response times without adding more dashboard bloat. I’d appreciate feedback on gaps, edge cases, or anything that feels overbuilt.

Demo link: https://www.brikai.co/
by parliament32 | 2025-12-03 00:53:57+00:00
I don't really understand why the commute always comes up as an argument in the WFH/RTO slapfights. How is your commute anyone's fault but your own? Could you not choose to live walking distance from work? Why is it the company's fault you moved three hours out to a low-COL area during covid? If your org is going RTO and you want to stay with them, couldn't you just, ya know, reduce your commute?
by mrcsharp | 2025-12-03 00:54:39+00:00
Chill out buddy. You're going to pop a vein here.

A typical backend developer using C#/Java is likely solving more complicated problems and having all the concerns of an enterprise system to worry about and maintain.

Dismissing a dev or a system because it is enterprisy is a weak argument to make against a language. A language being used a lot in an enterprise to carry the weight of the business is a sign the language is actually great and reliable enough.
by maxglute | 2025-12-03 00:54:45+00:00
Not confirmation, that's continued salami slicing sheninagans i.e. cartographic normalization and stapled visas instead of stamped visas to delegitmize AP citizenship. PRC will always rhetorically state AP is south Tibet because that's just how geopolitics works, you don't preemptively concede you don't claim something you claim even if said claim is to get something else because that weakens claim. PRC will always publically hold position all of AP is Tibet, i.e. maximalist bargaining position, until package swap is accepted first behind close doors because anything else weakens claim.

Package swap deals is not something offered in low level talks, it's leader to leader offer, i.e. Zhou Enlai to Nehru, Deng Xiaoping to Ghandi. Modi's been dipping meeting Xi (or vice versa if you want) until last year, right before trump2 and it's been rollercoaster geopolitics. Until India, PRC, US triangulation / dynamic becomes cleares and Xi/Modi relations normalize the only thing boundry talks do is what it always does, maintainence work with some progress towards normalize relations where high level boundary talks can start, as in actual formal settlement, not LAC management homework, i.e. we're past generals talking in tents to ministers meeting in capital, and maybe one day leaders discussing swap.

In the meantime, in addition to talks, the new normal PRC wants to set is to continue adding pressure via salami slice and rachet pressure because PRC isn't interested in settling for status quo (talks) where nothing happens, i.e. India wanting pre 2020 status quota ante, basically PRC perceives to be (decades of) deliberate stalling, so PRC will continue to add pressure so situation doesn't settle into unproductive status quo ante dynamic again. Bluntly it is better for PRC if PRC/India draws blood every once in a while to keep the pressure up because that might lead to earlier settlement than the alternative, drawing patrol routes and words which hasn't lead anywhere. Anything that can move the settlment clock forward.

E: alright really last reply, you can believe what you want. But ultimately, ask yourself, do you think PRC can invade and hold Arunachal Pradesh, through Assam Himalayas. Exceedingly unlikely, geographically logistics harder to sustain than TW. It's more trouble than it's worth.
by rainsford | 2025-12-03 00:54:52+00:00
> I would like to see the metrics on how much time and resources are wasted babysitting all this automation vs. going in and updating a certificate manually once a year and not having to worry the automation will fail in a week.

I would also like to see those metrics, because I strongly suspect the cost is dramatically in favor of automation, especially when you consider the improved security posture you get from short lived certificates. My personal experience with Let's Encrypt has been that the only hassle is in systems that don't implement automation, so I get the worst of both worlds having to effectively manually renew short lived certificates every 90 days.

CRL based revocation is largely a failure, both because implementation is a problem and because knowing when to revoke a certificate is hard. So the only way to achieve the goal of security in WebPKI that's resilient to private key compromise is short-lived certificates. And the only way to implement those is with automated renewal.
by rzwitserloot | 2025-12-03 00:55:20+00:00
It wasn't an 'it' it was a 'some'. Some of these companies that are investing massively in data centers will fail.

Right now essentially none have 'failed' in the sense of 'bankrupt with no recovery' (Chapter 7). They haven't run out of runway yet, and the equity markets are still so eager, even a bad proposition that includes the word 'AI!' is likely to be able to cut some sort of deal for more funds.

But that won't last. Some companies will fail. Probably sufficient failures that the companies that are successful won't be able to meaningfully counteract the bursts of sudden supply of AI related gear.

That's all the comment you are replying to is implying.