MurphyA/hacker-news huggingface dataset:
by dsign | 2026-02-15 06:25:50+00:00
Jesus those things are big!

> It was unreasonably heavy and made of cheap wood, with a neck like a carved baseball bat.

Guitar necks need to withstand the tension of the strings, and any Russian-educated engineer tasked by the politburo with making a guitar out of fiberboard[^2], will plug tension plus safety margins into the secant formula[^1] and immediately realize that some steel rods from Magnitogorsk for reinforcement are in order, and promptly discover that they only have 1/2'' ones. Oh well.

[^1]: http://www.engineeringcorecourses.com/solidmechanics2/C5-buc...

[^2]: Not that there's anything wrong with fiberboard for guitars; see Danelectro. In fact, if you own a laser cutter and want to make something cool with it, an electric guitar is a great project.
by narinluangrath | 2026-02-15 06:27:38+00:00
I built SmolMail because I was tired of manually copying info from emails into other apps. Amazon sends a shipping confirmation — I open Google Tasks, type the item name, set the due date. A flight confirmation arrives — I create a calendar event, copy the times, add the confirmation number. A receipt comes in — I add a row to my expense spreadsheet.

SmolMail sits on top of your Gmail inbox. Expand any email, and Claude extracts the structured data — item names, dates, amounts, confirmation numbers. Then one click to send it where it's useful: Google Tasks, Calendar, Sheets, or Drive.

For recurring patterns (e.g., every Amazon shipment), you can create automations that match by sender/subject, extract the same fields, and create actions automatically.

The stack is React + Cloudflare Workers + D1. Extraction uses Claude in two modes: text (sends HTML) or vision (sends a screenshot for emails where the layout matters more than the markup). Extractors run client-side in a sandboxed iframe.

You can try the demo at smolmail.com/demo — no login required, full interactive inbox with sample emails.

I'd love feedback on the UX flow and what email patterns you'd want supported.
by numbnutsssssss | 2026-02-15 06:27:50+00:00
And Codex, ChatGPT, Claude, ClaudeCode, Gemini, Fuctzbadz, KetoClipper, BoogerDoodle, and YerMomIsABiatch are not products? AI is a product.

Jesus Christ you dumb “rocks are conscious” people are MAGA-levels of delusional.

May AI make you lose your job. And hurt nobody else.
by CoinFlipSquire | 2026-02-15 06:28:37+00:00
My gripe with "developer accepts bad code without reading it" is two fold.

1. It's turning the Engineering work into the worst form of QA. It's that quote about how I want AI to do my laundry and fold my clothes so I have time to practice art. In this scenario the LLM is doing all the art and all that's left is the doing laundry and folding it. No doubt at a severely reduced salary for all involved.

2. Where exactly is the skill to know good code from bad code supposed to come from? I hear this take a lot I don't know any serious engineer that can honestly say that they can recognize good code from bad code without spending time actually writing code. It's makes the people asking for this look like that meme comic about the dog demanding you play fetch but not take the ball away. "No code! Only review!" You don't get one without the other.
by wolvoleo | 2026-02-15 06:28:48+00:00
The older generations are pretty accessible price wise yes. They're pretty awful for home use though. Those tape drives are LOUD. Backing up my 90TB NAS takes a week. I don't want to sit in that squealing for a week in my flat. Restoring a single file is a PITA also.

I just use a box full of old harddrives now, i basically use those like tape cassettes.
by glerk | 2026-02-15 06:30:22+00:00
> multi-thousand-employee project

I know absolutely nothing about PSTN interop and I'm sure it's very complex to implement. However, at the end of the day, this is just software we're talking about right? Software is cheap and easy to produce these days and I doubt you need thousands of people to implement something that syncs your meeting's audio stream to a phone line especially given that it's a problem that has been solved before.
by Zaki101Aslam | 2026-02-15 06:30:54+00:00
I'm currently transitioning from Windows to Linux and getting familiar with LibreOffice. To make the switch smoother, I created a tool that maps (almost) all MS Office shortcuts to LibreOffice equivalents.

I used Jules agent to help build and refine the repository. I figured others making the same transition might find it useful.

Would love feedback from the community about improvements to the mapping!
by rapnie | 2026-02-15 06:31:14+00:00
There is no "fundamental free-ness" for vids stored on YT. Videos are stored to serve the business plan of Youtube and under the rules Google sets for them, where they serve their advertisement and surveillance capitalism business.

Looking at the Wikipedia page for "Commons" [0] the first meaning of commons "accessible to all members of a society" is not really true, unless "on the whim of the YT platform". The second meaning of "natural resources that groups of people (communities, user groups) manage for individual and collective benefit" is also not really true. There is no understanding that google will take any other than their own benefit into account. The third meaning of commons on that page is closest I guess to what is needed:

> Commons can also be defined as a social practice of governing a resource not by state or market but by a community of users that self-governs the resource through institutions that it creates.

And that is certainly not what Youtube can be considered to be. Youtube videos are not in the commons, but kept on a proprietary platform where the proprietor is the sole decider what happens to its availability there.

[0] https://en.wikipedia.org/wiki/Commons
by cyber_kinetist | 2026-02-15 06:31:32+00:00
I've seen some C++ libraries that implement persistent data structures like immer (https://github.com/arximboldi/immer) - but seems it requires the use of the Boehm GC (which is notorious to be slow, since it is a conservative GC and cannot exploit any of the specific semantics/runtime characteristics of the language you're making).
by ej88 | 2026-02-15 06:31:38+00:00
the perimeter of the tasks the LLMs can handle continuously expands at a pretty steady pace

a year ago they could easily one shot full stack features in my hobby next.js apps but imploded in my work codebase

as of opus 4.6 they can now one shot full features in a complex js/go data streaming & analysis tool but implode in low latency voice synthesis systems (...for now...)

just depends on how you're using it (skill issues are a thing) and what you're working on
by salawat | 2026-02-15 06:31:55+00:00
Absolutely don't, and I've argued since day 1 that by refusing to try to contract for training before they just ripped it, each and every one of them should be saddled with so much legal liability as to not exist. The capitalist overlords however, will grasp at anything that promises them of being free of dealing with labor...so... Here we are.
by noduerme | 2026-02-15 06:32:59+00:00
Writing now on Feb 14th, it seems to me that the reason most prognosticators of doom place their predictions more than twelve hours in the future is that they hope to get a following. Baseline idiots and psychopaths at least have the cunning or intelligence to realize that it serves no purpose to predate their predictions to the morning before the apocalypse they're predicting. One big clue to the idiocy of this post was the weird assertion that gold was now being sold at "fire sale" prices. My portfolio was up almost 4% on Friday, and I'm not hugely concerned about the American economy collapsing. But if you prompt Gemini for reasons why it will, I'm sure you'll get what you want to hear. And that's all this is - some dude prompting Gemini for why 2/13 would be the day of doom. I wish I could say good riddance, but I'm sure he'll do it again and again, like all failed prophets of doom.
by edaus | 2026-02-15 06:36:46+00:00
I like the approach of some bodybuilders when trying to lose weight. They just count the cardio as extra, and multiplying the calories burnt by 0 to 0.5 when cutting.

Losing weight also becomes quite straight forward when one tracks their calories and activity in minutes and uses weekly averages. That way changing one side while maintaining the other can get them to losing weight again.

I agree totally with you, people try to find the perfect equation and tracking method for everything, otherwise it's pointless to them. Honestly I like how it is like a game, where losing weight initially is simple and then it gets incrementally harder and you have to find better methods and how there's variations from person to person.
by gwern | 2026-02-15 06:36:48+00:00
An idea the website could borrow from video games is removing elements after a while, like _n_ page views. (You can store the state in cookies, LocalStorage, or perhaps track server-side by IP+useragent.) The reader enjoys the dancing jelly for a few pages, and then as it gets old, it goes away automatically.

(On Gwern.net, we call this 'demo mode', and we use it to hide some UI elements after a certain number of interactions or page-views, under the theory that if you've, say, uncollapsed a collapse region a few times, you've gotten the idea, and you no longer need a big obtrusive text label saying 'click or hover to uncollapse'.)
by thaumasiotes | 2026-02-15 06:36:59+00:00
> The trouble is it's impossible to magically know in advance if something is worth reading. You have to use secondary information to guess.

This was true in the past, and is still true now.

> Until recently "it appears that the author put effort into writing it" was a vaguely useful signal, but LLMs have ruined that.

This isn't true now and wasn't true in the past.
by lostlogin | 2026-02-15 06:38:13+00:00
A whole body MRI is low resolution and thick slices, they are crap.

Instead you could get thin slices at high resolution of a body site that has issues or is suspected to have them. Do that instead.

Whole body MR is 5-8mm thick slices at low in-plane resolution. A whole body scan has about 512 pixels over a 50-60cm field of view. Usually it’s even less pixels than this.

Something like a knee, or brain is 2-3mm slices, and high in-plane resolution. A knee is 512 or even 720 pixels over 14cm. It’s vastly better. The difference is stark.

A liver scan or other abdominal organ is lower resolution than a joint or brain, but unlike whole body MR is scanned in multiple planes with multiple image weighting (t1 in/out/fat sat, diffusion, t2, t2fs, gadolinium contrast). A liver scan has thin slices.

Whole body scans generally do two coronal images (stir and t1) then call it quits.
by drtgh | 2026-02-15 06:38:25+00:00
That is not a good idea. To deal with LLMs one need to have knowledge about the topic of the query, case contrary one will not be able to detect the errors of their output-prompts. The test is easy, if after one or three queries one do not detect the errors, one is done, the person is reading the output-prompts in passive mode.

The self-learn path require also to cultivate a intuition that comes from searching and reading technical doc that a LLM will not give you, among other things.

Anyway, I observe how the warning of the other user about this got downvoted and critiqued. I expect the same, and leave this thread with peace of mind subscribing to such warning, as a message to the OP.
by andrewflnr | 2026-02-15 06:40:23+00:00
Quantify the belief that humans are biased toward sensationalism? No, I have no idea how to do that. Actually you could make an argument that it's a bit circular, that "sensationalism" is defined as the kind of ideas that humans are biased towards and which are therefore more able to cause a "sensation".

But if you don't see how people yearn to believe in big dramatic things like conspiracies, aliens, bigfoot, or even simple narratives about single people changing the course of history, and how they only accept the complicated and/or boring reality with conscious effort, then, well, you seem to be living in a better universe than I am.
by vidarh | 2026-02-15 06:40:30+00:00
Even if the models stopped getting better today, we'd still see many years of improvements from improving harnesses and understanding of how to use them. Most people just talk to their agent, and don't e.g. use sub-agents to make the agent iterate and cross-check outcomes for example. Most people who use AI would see a drastic improvement in outcomes just by experimenting with the "/agents" command in Claude Code (and equivalent elsewhere). Much more so with a well thought out agent framework.

A simple plan -> task breakdown + test plan -> execute -> review -> revise (w/optional loops) pipeline of agents will drastically cut down on the amount of manual intervention needed, but most people jump straight to the execute step, and do that step manually, task by task while babysitting their agent.
by Twirrim | 2026-02-15 06:42:15+00:00
I get tolerable performance out of a quantized gpt-oss 20b on an old RTX3050 I have kicking around (I want to say 20-30 tokens/s, or faster when cache is effective). It's appreciably faster on the 4060. It's not quite ideal for more interactive agentic coding on the 3050, but approaching it, and fitting nicely as a "coding in the background while I fiddle on something else" territory.
by pseudohadamard | 2026-02-15 06:42:25+00:00
Yup, there's been a ton of experiments like this done over the years where people ran A/B tests between golden-ears audio gear and the cheapest garbage they could find, for example wire coathangers used to connect the speakers up. In blind tests, people couldn't tell the difference.

As others have pointed out, the biggest thing to focus on is the speakers or headphones, at least up to a point: $70,000 Woo-woo Labs Reference Monitor speakers aren't going to sound any better than the decent set of Wharfedales you found on eBay.
Show HN: LocalGPT Gen – LLM-driven world generation in Rust/Bevy [video]
by yi_wang | 2026-02-15 06:43:28+00:00
I couldn't get access to Project Genie 3, so I built a (very minified) version on top of LocalGPT, my local AI assistant in Rust.
cargo install localgpt-gen — you describe a scene in natural language, the LLM generates it in Bevy. Early and rough, but it works: https://www.youtube.com/watch?v=n18qnSDmBK0
LocalGPT itself is a 38MB single-binary AI assistant with kernel-enforced shell sandboxing (Seatbelt/Landlock/seccomp) and HMAC-signed instruction files. localgpt-gen ships as a separate binary (>100MB) to keep the core small.
Code: https://github.com/localgpt-app/localgpt
Site: https://localgpt.app
by arjunchint | 2026-02-15 06:44:11+00:00
If the agent is in your site you are at much less mercy of Google's agent to:
- redirect users to another site
- the user's focus is shifted from your site to whats going on in the agentic chat (in which Google can serve ads/recommendations) outside of your control.
- we want to be long term partners to websites to craft the agentic experience between them and their users
by hakfoo | 2026-02-15 06:44:39+00:00
I'm curious about "good storage conditions".

What are the threat models for tape, and how much do they vary for discs?

I assume if I leave either in my car in an Arizona summer day, it's toast. But are tapes more prone to mould damage in a damp climate, or media shedding if fed through a slightly out-of-adjustment drive?

The problem with M-disc was that it was always a sideshow on the mainstream optical disc market-- like LightScribe/LabelFlash, it was a feature most people weren't interested in except for possibly box-checking during purchase. The main audience was still people buying generic blank discs and burning single use discs or short-term backups.

There is/was an opportunity to box the product up with a clear marketing message of "here's a SMB-scale backup solution", something cheaper than tape, and more built-for-purpose than buying USB hard drives and dangling them off the back of a PC.

I'm picturing the M-disc technology but each disc is pre-installed in a cartridge to discourage accidental scratches/fingerprints/leaving surfaces directly exposed to the sun. It reinforces the "this is durable and you can probably put legal documents you might need for 5-10-20 years on it and leave it in a safe" story. This also creates a vendor-lockin product at a premium price, while quality conventional CD/DVD media was always competing with "but Fry's has spindles of 500 discs for $12.99!"
by geraneum | 2026-02-15 06:44:57+00:00
I’ve been living this experience and using latest models in work throughout this time. The failure modes of LLMs have not fundamentally changed. The makers are not awfully transparent about what exactly they change in each model release the same way you know what changed in i.e., a new Django version. But there’s not been a paradigm shift. I believe/guess (from outside) the big change you think you’re experiencing could be result of many things like better post training processes (RLHF) for models to run a predefined set of commands like always running tests, or other marginal improvements to the models and focusing on programming tasks. To be clear these improvements are welcome and useful, just not the groundbreaking change some claim.
by vee-kay | 2026-02-15 06:45:19+00:00
I haven't played Terminal Velocity, but I finished the Descent Freespace game decades ago, and I am also itching for modernesque space-sims with 6-degrees-of-freedom dogfights, with some campaigns and explorations.

I liked this teaser trailer of Remnant Protocol, it seems exciting and perhaps a spiritual successor to Descent and Terminal Velocity games:
https://m.youtube.com/watch?v=vemaUWPs6Zo

No Man's Sky was interesting, but its combat is meh, and it is a sandbox with procedurally generated planets made of limited types of biomes. It's inventory management is very clunky, so I finally gave up on it.

I tried Everspace, it is good, but it is more of a roguelite comprising only of dogfights in space. Haven't tried Everspace 2 yet, which I believe has campaign mode and is a better space sim.

I steered clear of Starfield, since Bethesda is infamous for launching buggy games. I will try it after a few years, once the modding community has overhauled it nicely.
by mmooss | 2026-02-15 06:46:06+00:00
> the effort to dig into every claim you read is an impossibly large amount of work. This “bullshit asymmetry principle” is one of the core reasons for the current level of misinformation in online discourse.

The level of misinformation predates AI, of course (and the OP doesn't say otherwise, iiuc).

There's an easy solution to the assymetry: Like many fields such as all scholarship, law, most of what you do professionally, put the burden of proof on the writer, not the reader. Ignore anything the writer fails to substantiate. You'll be surprised how very little you miss, and how much high quality, substantiated material there is - more than you can read (so why are you wasting your time on BS?)!

That not only improves accuracy, it slows down the velocity of bullshit. The assymetry is now the other way, as it should be - your attention is limited.
by victormy | 2026-02-15 06:46:17+00:00
Fair point on the frequency of my comments, but there’s a nuance to the CLA discussion. Even with Apache 2.0, many major projects (like those under the CNCF or Apache Foundation) require a CLA to ensure the project has the legal right to distribute the code indefinitely.

My focus on the CLA is about building a solid foundation for RustFS so it doesn't face the licensing "re-branding" drama we've seen with other storage projects recently. It’s about long-term stability for the community, not just a marketing ploy.
by cubefox | 2026-02-15 06:47:21+00:00
No, I didn't say that at all. I said they are biased, that "they make things much more negative (= less positive) than they are", which is a very different thing. Basically, I'm saying they report x-10 rather than x (that's bias), and you are replying with "so the value of x they report is always negative or 0." No. Wrong.
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by Zee2 | 2026-02-15 06:48:24+00:00
I have to say the same, but even as someone who isn’t really “relied upon”. The best asset for my own independent well-being has always been knowing which way the wind blows and sailing in that direction.

I have to imagine if there was some internal Polymarket-esque platform I’d be a rich man... (facetiously speaking) Unfortunately knowing the way the wind blows is not as much of an asset to those in charge.
by AceJohnny2 | 2026-02-15 06:49:35+00:00
While the current incarnation of Google Chat has indeed been steadily improving, Google has a lot, and I mean a lot, to make up for:

https://arstechnica.com/gadgets/2021/08/a-decade-and-a-half-... (2021, as the URL says)

And it's not just messaging. Google has a decades-long history of abandoning apps that don't make them billions, which means no-one with memory trusts them. Especially in their current "AI-everything or bust!" incarnation.
by slopinthebag | 2026-02-15 06:49:46+00:00
There is that quote "there are cathedrals everywhere for those with the eyes to see". I feel like there is a solid variation with solid business opportunities instead of cathedrals haha.

I've found AI to be a big productivity boost for myself, but I don't really use it to generate much actual code. Maybe it could do more for me, idk, but I also don't feel like I'm being left behind. I actually enjoy writing code, but hate most other programming tasks so it's been nice to just focus on what I like. Feels good to have it generate a UI skeleton for me so I can just fill out the styles and stuff. Or figure out stupid build config and errors. Etc etc.

Anyways congrats on the product. I know a lot of people are negative about productivity claims and I'm certainly skeptical of a lot of them too, but if you asked most programmers 5 years ago if a super-autocomplete which could generate working code snippets and debug issues in a project would boost productivity everyone would say yes lol. People are annoyed that its overhyped, but there should still be room for reasonable hype imo.