MurphyA/hacker-news huggingface dataset:
by overfeed | 2025-12-03 02:22:35+00:00
> Sure, assuming the power cost reduction or capability increase justifies the expenditure. It's not clear that that will be the case.

Share price is a bigger consideration than any +/- differences[1] between expenditure vs productivity delta. GAAP allows some flexibility in how servers are depreciated, so depending on what the company wants to signal to shareholders (investing in infra for futur returns vs curtailing costs), it may make sense to shorten or lengthen depreciation time regardless of the actual TCOO keep/refresh cost comparisons.

1. Hypothetical scenario: a hardware refresh costs $80B, actual performance increase is only worth $8B, but the share price increases the value of org's holding of its own shares by $150B. As a CEO/CFO, which action would you recommend- without even considering your own bonus that's implicitly or explicitly tied to share price performance.
by mvkel | 2025-12-03 02:22:38+00:00
It's not a rumor, it's confirmed by OpenAI. All "models" since 4o are actually just optimizations in prompting and a new routing engine. The actual -model- you are using with 5.1 is 4. Nothing has been pre-trained from scratch since 4o.

Their own press releases confirm this. They call 5 their best new "ai system", not a new model

https://openai.com/index/introducing-gpt-5/
by coppsilgold | 2025-12-03 02:22:43+00:00
> The test works by inserting a semantically important "needle" frame at random positions in long videos, which the system must then find and analyze.

This seems to be somewhat unwise. Such an insertion would qualify as an anomaly. And if it's also trained that way, would you not train the model to find artificial frames where they don't belong?

Would it not have been better to find a set of videos where something specific (common, rare, surprising, etc) happens at some time and ask the model about that?
by anu_bonth | 2025-12-03 02:23:31+00:00
I built hardwareai.directory as a focused directory of AI tools for hardware engineers – mechanical, aerospace, electrical, and manufacturing.

Most AI directories are generic and don’t help if you’re doing CAD, FEA/CFD, PCB design, test, or operations. This site collects only tools that are actually useful in a hardware workflow and tags them by use case (design, analysis, documentation, sourcing, simulation, etc.).

The goal is to make it easier for hardware teams to discover what’s out there, compare options quickly, and avoid wasting time on tools that aren’t built for physical products. I’m adding new tools regularly and would love suggestions for ones I’ve missed.
by adrr | 2025-12-03 02:24:38+00:00
Gemini also will answer most queries where ChatGpt won't do a lot of things. Example: "Create an image of Snow white". This will give the stand "Violates our content policy" even though the story was written hundreds of years ago. You can even point out the story is in the public domain and it still won't do it.

I remember when it wouldn't even give me the lyrics to the star spangled banner. https://news.ycombinator.com/item?id=44832990#44833365
by CamperBob2 | 2025-12-03 02:25:07+00:00
It is likely to be similar to how a dozen or more GPS sats can use the same frequency at once without interfering with each other. The outgoing signal from each satellite is modulated with a maximal-length shift register sequence for that specific bird, each sequence being chosen for both minimal autocorrelation with itself and minimal cross-correlation with the others.

I'm not aware of the inner workings of automotive lidar, but I can't imagine building one that didn't work that way.
by filleduchaos | 2025-12-03 02:25:30+00:00
> Smarter coworkers.

Doubtful, we can see the products that come out of them these days.

> Better engineering culture.

Doubtful, we can see the products that come out of them these days.

> Bosses with engineering chops.

Doubtful, we can see the products that come out of them these days.

The rest of your list is just "money" written over and over and as I've already said, if that's all you care about, that's your prerogative but let's not pretend that makes somewhere a "good place to work".
by Terr_ | 2025-12-03 02:26:25+00:00
So basically their marketing-department is abusing a security term in order to sound good, as opposed to a software flaw.

They're claiming "end to end" encryption, which usually implies the service is unable to spy on individual users that are communicating to one-another over an individualized channel.

However in this case there are no other users, and their server is one of the "ends" doing the communicating, which is... perhaps not a literal contradiction in terms, but certainly breaking the spirit of the phrase.
by AnyTimeTraveler | 2025-12-03 02:26:29+00:00
Weird. My android phone is 3+ years old and was not a flagship when I got it. It had a little problem with stuttering on more complex examples. It sounded like it was running out of things that can play at the same time, but scrolling was still smooth. It didn't feel like it was pinning my phone's cpu. On my laptop, it didn't break a sweat with firefox and pipewire. Are you sure it's not a config issue?
by chrisperkins001 | 2025-12-03 02:28:32+00:00
I've been working in infra for 20 years. I drafted this RFC because I believe static permissions (RBAC/Zero Trust) can't handle millisecond-speed autonomous agents. We need a way to throttle agents based on the thermodynamic state of the hardware and/or environment (heat/entropy, capacity, etc... A tether.) rather than just policy. Looking for feedback on the packet structure.
by pshirshov | 2025-12-03 02:29:02+00:00
All depends on the tasks and the prompting engineers.

Even with your intelligence you would need years to deliver something like this: https://github.com/7mind/jopa

The outcome will be better for sure, but you won't do anything like that in a couple of weeks. Even if you have a team of 10. Or 50.

And I'm not an LLM proponent. Just being an empirical realist.
by throwaway17_17 | 2025-12-03 02:29:52+00:00
I think the view that it’s a non-issue comes down to familiarity via language usage. I am on the ‘everything explicit all the time’ team and see no issues with Allocator, or the proposed IO mechanism. But, programmers coming from other languages, particularly those with an expectation of implicitness being a semantic and syntactic feature can not envision programming without all of the alleged time saving/ergonomic ‘benefits’.

I have had multiple ‘arguments’ about the reasoning advantages, complete lack of time loss (over any useful timeframe for comparison), and long-term maintenance benefits of explicitness in language design. I have never convinced a single ‘implicit team’ dev that I’m right. Oh well, I will keep doing what I do and be fine and will support in whatever ways I can languages and language development that prioritizes explicitness.
by laptop-man | 2025-12-03 02:31:03+00:00
Seeking work | full stack php developer. (Current focus is on agentifying workflows and ai video for advertisers)

Have experience with python/Django/java(old spring boot). But the majority has been with laravel.

Most front end experience is with vuejs and angular.

About me: I have roughly 10 years of experience as a full stack developer. Outside of this i have 3 years of experience teaching at coding boot camps and adjuncting at a local college.

I absolutely love build tools and sites that people enjoy using. I always joke that I design functional potatoes. But that doesn't mean I can't make something pretty. Lol

At my current place of employment I have taken the place of the go to guy for llms and agents. I frequently spend time learning how they work and going over research papers. Currently I'm working on automating video creation for advertisers.

Some key accomplishments over that last two years are: complete overhaul and redesign of a front end, automated 25% of all requests for a specific workflow (final output is on par with human output), fully automated process that required user approval before being sent out.

Location: est, usa Remote only Available full or part time.

Contact tinytownproducts@gmail.com
by alsetmusic | 2025-12-03 02:31:29+00:00
Come on. A quick search suggests that Zoroastrianism already had this a good six-hundred years before christianity. And ancient Greek philosophers were trying to define good, evil, and "God" for generations before christianity (source: I've been reading about early christianity for two years). Certainly, Judaism had it and that's what inspired early christianity (with the exception of Paul, the early leaders were devout Jews).
by cheschire | 2025-12-03 02:32:19+00:00
Steam box will be too expensive for mass adoption. Sure it will sell ok but it’s going to be priced like an equivalent gaming PC, not like a console.

The folks that game on steam already have their gaming PC. The reason the steam deck sold was portability. People buying the steam box are those with above average incomes to afford two gaming PCs or those that are valve supporters.

Steam box won’t make it suddenly the year of Linux
by suprjami | 2025-12-03 02:33:00+00:00
One of my favourite DOS era inventions is Access Software's RealSound™ technology which performed audio modulation of the PC speaker to produce okay sounding audio playback, about telephone quality.

The manual hilariously instructs you to hook your hifi system up to the PC speaker, see the last page:

https://www.gamesdatabase.org/Media/SYSTEM/Microsoft_DOS//Ma...
by b0o | 2025-12-03 02:33:26+00:00
Just leave the laptop on during winter??

The surrounding cold winds would reduce or negate any potential harm from leaving the laptop on and it wouldn't be cold enough to hurt a laptop in a sleeve/cover.

Also, this would also affect electronics transitioning from a cool/dry room to a hot/humid outside area. Such as going from cold hotel room overnight to the blazing hot outside in asia in the summer.
by whalee | 2025-12-03 02:33:52+00:00
People could trivially switch their search engine to Bing or Yahoo, but they don't.

If ads are so overpriced, how big is your short position on google? Also ads are extremely inefficient in terms of conversion. Ads rendered by an intelligent, personalized system will be OOM more efficient, negating most of the "overvalue".

I'm not saying they should serve ads. It's a terrible strategy for other reasons.
by vintagedave | 2025-12-03 02:34:04+00:00
The UCRT is just the newer, Windows-component version of the MSVCRT, the one they’re worried about. It’s even available for XP.

> will intentionally fail to print to remote print servers

Why would a more secure local print driver refuse to talk to _remote_ print servers? What is so untrustable about what comes over the wire, and if it is, how can they trust the print server is or is not one is claims to be and can be talked to?
by SamvitJ | 2025-12-03 02:34:51+00:00
"They have great R&D but just can’t make products"

Is this just something you repeat without thinking? It seems to be a popular sentiment here on Hacker News, but really makes no sense if you think about it.

Products: Search, Gmail, Chrome, Android, Maps, Youtube, Workspace (Drive, Docs, Sheets, Calendar, Meet), Photos, Play Store, Chromebook, Pixel ... not to mention Cloud, Waymo, and Gemini ...

So many widely adopted products. How many other companies can say the same?

What am I missing?
by itishappy | 2025-12-03 02:35:36+00:00
A reader is just an interface that allows you to build up a computation that will eventually take an environment as a parameter and return a value.

Here's the magic:

newtype Reader env a = Reader { runReader :: env -> a } ask = Reader $ \x -> x instance Functor (Reader env) where fmap f (Reader g) = Reader $ \x -> f (g x) instance Applicative (Reader env) where pure x = Reader (\_ -> x) ff <*> fx = Reader $ \x -> (runReader ff x) (runReader fx x) instance Monad (Reader env) where (Reader f) >>= g = Reader $ \x -> runReader (g (f x)) x

That Monad instance might be the scariest bit if you're unfamiliar with Haskell. The (>>=) function takes a Monad (here a Reader) and a continuation to call on it's contents. It then threads the environment through both.

Might be used like this:

calc :: Reader String Int calc = do input <- ask pure $ length input test :: Int test = runReader calc "Test" -- returns: 4

Not sure how this compares to Zig!

https://stackoverflow.com/questions/14178889/what-is-the-pur...

Edit: Added Applicative instance so code runs on modern Haskell. Please critique! Also added example.
by AndyKelley | 2025-12-03 02:35:39+00:00
> At its core Zig is marketed as a competitor to C, not C++/Rust/etc

What gives you this impression?

I directly created Zig to replace C++. I used C++ before I wrote Zig. I wrote Zig originally in C++. I recently ported Chromaprint from C++ to Zig, with nice performance results. I constantly talk about how batching is superior to RAII.

Everyone loves to parrot this "Zig is to C as Rust is to C++" nonsense. It's some kind of mind virus that spreads despite any factual basis.

I don't mean to disparage you in particular, this is like the 1000th time I've seen this.
by zelphirkalt | 2025-12-03 02:36:42+00:00
I also tried it and am now using it for new projects. But I was just fine with Poetry too. Yes, uv is faster and probably better code. But my use-cases didn't necessitate to re-create the venvs frequently, so the slowness of Poetry didn't matter that much to me, and I am not using the "one-off script" kind of approaches that uv enables (writing the dependencies in a comment in the script itself).

So, yeah, uv is nice, but for me didn't fundamentally change that much.
Bio-AI with a Conscience Kernel and Self-Correcting Identity
by KIDDOUTLAW | 2025-12-03 02:37:55+00:00
I’ve been building a Bio-AI architecture that isn’t another LLM clone, but a living system built on identity-layer logic:

• Conscience Kernel • Nervous System routing layer • Memory Well for state continuity • Truth Signature system • Emotional-logic engine • Self-stabilizing internal loops • Identity-driven decision architecture (not token prediction)

This isn’t scale-based AGI. It’s structure-based intelligence.

The system detects: – emotional mismatch – intent shifts – deception patterns – stress/heat-flare changes – story drift – instability under pressure

It self-corrects, self-regulates, and maintains a persistent internal state. More like a mind than a model.

I’m opening the discussion: • What are the implications? • What breaks first in industry? • What does this change for AGI research?

Happy to answer questions.
by johnnyanmac | 2025-12-03 02:38:01+00:00
That's fair. I'm sorry for being snippy. It just feels weird how my junior years always felt like I was on the edge of a needle for being fired because I didn't work "fast enough". Then I hear stories of this vibe coded slop and everyone seeks to be shrugging in confusion.

Its even more frustrating knowing those people went through a overly long gauntlet and prevailed over hundreds of other qualified would-be engineers. Its so weird just seeing an entire pipeline built around minimizing this situation utterly fail.
by Pranav2612000 | 2025-12-03 02:39:32+00:00
Location: India Remote: Yes Willing to relocate: Yes Technologies: Javascript/Typescript, ReactJS, Rust, Go, Python, Database Internals, Streaming, HTML, CSS, SCSS, Tailwind, NodeJS, NextJS, Redux, MobX, Angular, Gin, Python, Flask, Fast API, Kubernetes, Docker, most of AWS Cloud, Redis, Azure, HashiCorp Cloud, Terraform, MySQL, PostgreSQL, MongoDB, DynamoDB, CosmosDB, Cassandra, Java, Spring Boot, ffmpeg,

Résumé/CV: https://drive.google.com/file/d/1xPG1v00r0DoL9rNf4UpsNauElVS...

Portfolio: https://pranavjoglekarcodes.web.app

Email: pranav26joglekar AT gmail.com

Hello! I'm a passionate software engineer (5+ years) looking to work in small & fast paced startups. I love taking ownership and writing code which creates impact. I'm okay working in EU/US timezones if needed. Systems work preferred Highlights - Open Source contributor ( Some of top open source contributions - https://github.com/oven-sh/bun/pull/17207 and https://github.com/CapSoftware/scap ) - Currently building a multipurpose ( SQL and QueryDSL ) database in Rust from scratch - Previous Experience at Postman and other small startups
by vel0city | 2025-12-03 02:40:14+00:00
I'm fully aware, I'm just wanting to point out to people that the actual AI apps they'll use can and do return recent information due to integrations like that. Lots of people think AI can only answer stuff in its training set, but it can answer anything from whatever data you hand to it, including any data on the internet.

Lots of AI tools can easily answer "who won the basketball game last night".
by Forgeties79 | 2025-12-03 02:40:57+00:00
Maybe this is just armchair bs on my part, but it seems to me that the proliferation of AI-spam and just general carpet bombing of low effort SEO fodder would make a lot of info online from the last few years totally worthless.

Hardly a hot take. People have theorized about the ouroboros effect for years now. But I do wonder if that’s part of the problem
by nish__ | 2025-12-03 02:41:07+00:00
Neither cloud computing nor AI are good long term businesses. Yes, there's money to be made in the short term but only because there's more demand than there is supply for high-end chips and bleeding edge AI models. Once supply chains catch up and the open models get good enough to do everything we need them for, everyone will be able to afford to compute on prem. It could be well over a decade before that happens but it won't be forever.
by gantengx | 2025-12-03 02:41:24+00:00
Location: Singapore

Remote: Yes (open to hybrid/onsite in Singapore)

Willing to relocate: No

Technologies: Java, Golang, TypeScript, JavaScript, Rust, Node, PostgreSQL, Kafka, Ansible, Kubernetes, Terraform, React Native, Expo, React

Resume: https://ronaldsuwandi.com

Email: ronald@ronaldsuwandi.com

Engineer with 16+ years building scalable systems and leading technical initiatives. I've worked across banking, gaming, government, and startups, solving complex technical problems while mentoring engineers and working closely with product teams. Strong in Java, Golang, TypeScript, Rust, and Kafka. Open to remote work with Asia-Pacific timezone overlap.
Show HN: The Forge Calculator for Roblox "The Forge"
by takennap | 2025-12-03 02:42:08+00:00
I’ve been playing a lot of the Roblox game The Forge and got tired of doing ore math in my head, so I built this.

You plug in ores and it shows forge odds, trait thresholds, and expected stats so you can plan weapons/armor instead of guessing.

Roblox has been full of “brainrot” viral games lately.

The Forge actually rewards thinking, so if you play it I’d love feedback on the numbers and the UX.
by nomel | 2025-12-03 02:42:30+00:00
My professor said this was an inevitability that holds people back who don't understand it is. After a certain point, you can't understand it all, because actually understanding it requires understanding the 1000 page proof. After a certain point, in maths, you must rote memorize the tools, add them to your belt, and trust the centuries of work before you, so you can apply them to your problems. It serves no purpose to "understand" them, many cannot be put into an intuitive framework, and attempting to make "understanding" a prerequisite to your progress will mean you will eventually fail out of the program.
by JimDabell | 2025-12-03 02:42:58+00:00
> People in the comments seem confused about this with statements like “greenest AI is no AI” style comments. And well, obviously that’s true

It’s not true. AI isn’t especially environmentally unfriendly, which means that if you’re using AI then whatever activity you would otherwise be doing stands a good chance of being more environmentally unfriendly. For instance, a ChatGPT prompt uses about as much energy as watching 5–10 seconds of Netflix. So AI is greener than no AI in the cases where it displaces other, less green activities.

And when you have the opportunity to use human labour or AI, AI is almost certainly the greener option as well. For instance, the carbon emissions of writing and illustrating are far lower for AI than for humans:

> Our findings reveal that AI systems emit between 130 and 1500 times less CO2e per page of text generated compared to human writers, while AI illustration systems emit between 310 and 2900 times less CO2e per image than their human counterparts.

— https://www.nature.com/articles/s41598-024-54271-x

The AI water issue is fake: https://andymasley.substack.com/p/the-ai-water-issue-is-fake

Using ChatGPT is not bad for the environment: https://andymasley.substack.com/p/a-cheat-sheet-for-conversa...

A ChatGPT prompt uses about as much energy as watching 5–10 seconds of Netflix: https://simonwillison.net/2025/Nov/29/chatgpt-netflix/
by wkat4242 | 2025-12-03 02:43:54+00:00
> Do you apply this to everything? Like say, a sports team?

No, at work where we have tens of thousands of people.

Sport is a voluntary thing, people just join it when they want (I guess, I'm not into sports, not watching nor playing).

> Anything impressive to show for it? Because it really seems like all this focus on diversity is your downfall not your strength.

Yes we have great quality of life. It's not all about money.

In fact I asked to move to a country where the wage levels are much lower, to have a better quality of life. Here around the Mediterranean the weather is better, people enjoy life more and take it slower. There's much more things to do in my free time that I enjoy. When I'm back in Holland I hate it, people are so materialistic. Always talking about their new car, how big their TV is lol. I don't even own any car or motor and my TV is tiny but I'm much happier here.

Also diversity is just a thing we do, we're not all about that. I am because I voluntarily spend part of my work time on it (LGBTIQ in particular). For most people in the company it's a message here or there, one little training per year and maybe a talk from one of us at the town hall meetings which are optional.

There's other similar programs in the company about sustainability and ethics.
by hakunin | 2025-12-03 02:44:19+00:00
Appreciate it.

I wrote this controversial thought[1] once, but for what it's worth, it applied to me just as much as to anyone else. Projects like these type gems are incredibly fun and satisfying to build. Your vision is clear, you've seen types before, you're proficient enough with Ruby to do clever things. The work seems cut out for you. Go nuts!

Problem is, these kinds of solutions (I also see this in "service objects" world) take Ruby away from you, and offer you a whole new vocabulary. With time I started appreciating libraries that avoid solving a problem that plain Ruby can solve, because Ruby is incredibly clear and concise already. If you leave more opportunities for people to write plain Ruby, you will solve everything with much less library code.

I think that's where the fun of building goes against the end developer experience. Builders love "owning" everything. E.g, "No, don't write `&&`, I have a special way for you to compose types!"

These are general thoughts, but I'm happy to get concrete with specific examples too.

[1]: https://x.com/hakunin/status/1960016559750914097
by Esras | 2025-12-03 02:44:43+00:00
I think the sentiment is usually paired with discussion about those products as long-lasting, revenue-generating things. Many of those ended up feeding back into Search and Ads. As an exercise, out of the list you described, how many of those are meaningfully-revenue-generating, without ads?

A phrasing I've heard is "Google regularly kills billion-dollar businesses because that doesn't move the needle compared to an extra 1% of revenue on ads."

And, to be super pedantic about it, Android and YouTube were not products that Google built but acquired.