MurphyA/hacker-news huggingface dataset:
by matt-attack | 2026-02-15 03:28:35+00:00
Since the beginning of Youtube, it has always struck my as reeking of such desperation to keep you hooked. Just the idea that you're watching a video, and there is simultaneously a list of 10 OTHER videos right next to the view. Most have become so numbed to that, but if you step back you should find it just such a sign of desperation to hook you (is the best way I can put it).

Before a video is even over, they have to plaster the video window with MORE VIDEOS. "Here try this, what about this other thing, here have you considered this?"

My mind is always "I haven't even digested this one video and you're already PUSHING MORE!"

When my kids are over my shoulder on YouTube I'm constantly zooming in w/ Mac zoom to obscure the other videos, the other spam, etc.

Just learn to absorb and soak in one thing. And digest it for a moment.

It's all so obnoxious and it's now the norm.

FWIW, I only ever login in a fresh private window.
by rustystump | 2026-02-15 03:28:43+00:00
Because ai doesnt work like this “make me money” or “make stardew valley in space”. The hard part is the painful exploration and necessary taste to produce something useful. The number of these kind of people did not increase with ai.

Eg, ai is a big multiplier but that doesnt mean it will translate to “more” in the way people think.
by vlovich123 | 2026-02-15 03:29:30+00:00
So the Fermat defense? “I have the proof but the margin is too small”.

The proof is in the pudding. TigerBeetle despite having a quite opinionated style still almost hit by UB and basically got lucky it wasn’t a worse failure. By contrast, even though unsafe isn’t audited for all dependencies, it does in practice seem to make UB extremely unlikely. And there’s work ongoing in the ecosystem to create safe abstractions to remove existing unsafe into well tested and centralized things
by paulpauper | 2026-02-15 03:31:08+00:00
The result again is a pervasive nihilism, where the truth of what’s being discussed matters less than the fact that it is being turned into content, the reaction to which will also become content.

as if this is a new thing? This has been going on forever. The media made this complaint in 2017. They called it 'alternative facts'. https://en.wikipedia.org/wiki/Alternative_facts
by golly_ned | 2026-02-15 03:31:47+00:00
I see this same thing now. In this case, it’s a more senior engineer and his manager taking credit for work a less senior engineer who’d left the team did.

There’s simply no advantage to crediting work to someone who’d left the team.

We love to blame those who are misfortunate. It’s called just world syndrome. It’s deeply uncomfortable to realize that this kind of thing is the norm, and justice is the exception. I’ve been extremely fortunate in my career, but not due to any special savviness of my own.
by foxglacier | 2026-02-15 03:33:21+00:00
Closed loop control systems! I'd say that's a common requirement of any robot. I wouldn't spend a lot of time on theory though, just look up the concept of PID and implement it. It's easy. No library needed. There are lots of ways for control loops to perform badly and there's all the theory of that but you can also intuit a lot of it by playing around with motors, encoders, and microcontrollers.
by pseudohadamard | 2026-02-15 03:35:22+00:00
Look at it the other way round, Google takes nearly half of their income, where they're putting a huge amount of time and energy into creating content while Google's contribution is hosting the data on a server. It also reinforces the YouTube hostage situation where content creators can't afford to leave the abusive relationship because they'll lose most of the income that Google isn't already taking off them.
by aidenn0 | 2026-02-15 03:35:57+00:00
Ceramic tiles only last until a worker goes on the roof and breaks one. In the US, contractors routinely require you to release them from liability of any damage to ceramic tile shingles. Pest fumigation becomes much more of a pain.

That being said, if you want them, you can get them (this is how I know the above), and you can get other options. All of this is orthogonal to stick-frame construction. I've seen copper-roofs on stick-framed buildings even.
by mkmccjr | 2026-02-15 03:36:03+00:00
Thank you for reading my post, and for your thoughtful critique. And I sincerely apologize for my slow response! You are right that there are other ways to inject latent structure, and FiLM is a great example.

I admit the "static embedding" baseline is a bit of a strawman, but I used it to illustrate the specific failure mode of models that can't adapt at inference time.

I then used the Hypernetwork specifically to demonstrate a "dataset-adaptive" architecture as a stepping stone toward the next post in the series. My goal was to show how even a flexible parameter-generating model eventually hits a wall with out-of-sample stability; this sets the stage for the Bayesian Hierarchical approach I cover later on.

I wasn't familiar with the FiLM literature before your comment, but looking at it now, the connection is spot on. Functionally, it seems similar to what I did here: conditioning the network on an external variable. In my case, I wanted to explicitly model the mapping E->θ to see if the network could learn the underlying physics (Planck's law) purely from data.

As for stability, you are right that Hypernetworks can be tricky in high dimensions, but for this low-dimensional scalar problem (4D embedding), I found it converged reliably.
by tokyobreakfast | 2026-02-15 03:36:29+00:00
Interesting it is running OpenBSD 7.8.

These old SPARCs are beloved by their developers for their ability to uncover obscure low-level bugs due to the platform's strictness.

Everyone else has adequately pointed out SPARC boxes basically ran the Internet back in the day. It wasn't uncommon to have a single box hosting an entire university department: email, web serving, application server, login shell, etc.
by Dylan16807 | 2026-02-15 03:36:46+00:00
I'm not going to actually suggest LTO-7, but what do you think is a reasonable per-month cost for backing up your important data? If it's in the $5-$10 range then you can afford a $600 drive and some tapes.

> Basically LTO is a terrible backup strategy unless you have a lot of money regularly that you will spend in order to upgrade your entire equipment every two/three generations (otherwise your newer equipment wont read your old tapes).

"regularly" can be 10 years. Your new equipment doesn't need to read your old tapes. If you advance by 4 generations, you can buy 1 new tape to replace 10 old tapes. And the newer generations have abandoned that feature anyway.
by pentagrama | 2026-02-15 03:38:43+00:00
Yes, and I think this case gets somewhat more notoriety because the phishing site has the .com domain and the legitimate one has a .org.

Like it or not, .com adds perceived trustworthiness and works as a branding signal, especially in these times of VCs throwing large amounts of money at branding and buying 3 to 6 letter .com domains, but a small project like 7zip cannot afford that kind of expense.
by golly_ned | 2026-02-15 03:38:46+00:00
I’m wary about the exuberance of AI displacing quality.

But some of the worst experiences I’ve had with coworkers were with those who made programming part of their identity. Every technical disagreement on a PR became a threat to identity or principles, and ceased being about making the right decision in that moment. Identity means: there’s us, and them, and they don’t get it.

‘Programmer’ is much better off as a description of one who does an activity. Not an identity.
by queenkjuul | 2026-02-15 03:43:20+00:00
I do think LTO is a common enough format, and explicitly designed to be backwards-compatible, that it is very likely to be around in 10 years. The companies that rely on it wouldn't invest in it if they didn't think the hardware would be available. 40 years, harder to say, but as someone who owns a fair bit of working tape equipment (cassette, VHS, DV) that is almost all 25+ years old, i wouldn't think it'd be impossible.

That said, i imagine optical drives will be much the same.
by toast0 | 2026-02-15 03:45:15+00:00
I bought a prepaid phone from a 'Verizon Value' brand recently, because buying the same phone unlocked was more expensive than buying it locked, pay for a month of service that I didn't use any of, then leave it in a drawer for two months.

This change makes that path unattractive to me, which is probably better for Verizon. I can see how 60 days ends up being too short to deal with fradulent purchases because charge backs are available for a long time. Changing the period to one year feels like way too long to validate purchases, and requiring active service for the whole year doesn't feel like validating a purchase either.

But I'm also on prepaid (on a different network). If you're on most postpaid plans, the cost of a phone subsidy is built into the plan, so if you don't take the subsidized phone, you're paying for something you're not getting.
by roncesvalles | 2026-02-15 03:47:12+00:00
Enterprise doesn't buy chat/meeting products without PSTN interop (dial-in dial-out to traditional phone line). Discord would probably need to double their dev team to add PSTN.

Building something like Slack or Teams to the level that a F500 company would make it their primary videoconferencing solution is a multi-thousand-employee project. It's not a little skunkworks project for 15-20 people in some corner of the office.
by Terretta | 2026-02-15 03:47:32+00:00
How do you feel about Safari tab groups? They're perfectly happy to snap open a thousand tabs at once, from however many such groups you like, all synced across all the (Apple) devices. And on the left of the Safari window in a sliding tray.

Aside from these groups, there's "Save all open tabs to a Bookmarks folder" which lets you just shove a few hundred or thousand tabs into a bookmarks folder every few weeks or months.

Given the old limits on these, it's remarkable how much work they put into tab hoarding enabling!
by mkmccjr | 2026-02-15 03:47:46+00:00
Thank you for your comment, and I sincerely apologize for my slow response! "Rediscovering structure" is exactly the inefficiency I was trying to highlight.

In the physics/science cases I work with, the factorization is usually between the physical law (shared structure) and the experimental conditions (dataset-specific structure). If you don't separate them, the model wastes capacity trying to memorize the noise of the experimental conditions. (It's ineffective as well as wasteful.)

The analogy to code generation makes a lot of sense: flattening a tree into a sequence forces the model to infer syntax that was already explicit. Thank you for the link; I look forward to diving into it!
by mceachen | 2026-02-15 03:47:50+00:00
I maintain a fork of sqlite-vec (because there hasn't been activity on the main repo for more than a year): sqlite-vec is great for smaller dimensionality or smaller cardinality datasets, but know that it's brute-force, and query latency scales exactly linearly. You only avoid full table scans if you add filterable columns to your vec0 table and include them in your WHERE clause. There's no probabilistic lookup algorithm in sqlite-vec.
by appplication | 2026-02-15 03:47:56+00:00
This was essentially my experience vibe coding a web app. I got great results initially and made it quite far quickly but over time velocity exponentially slowed due to exactly this cognitive debt. Took my time and did a ground up rewrite manually and made way faster progress and a much more stable app.

You could argue LLMs let me learn enough about the product I was trying to build that the second rewrite was faster and better informed, and that’s probably true to some degree, but it also was quite a few weeks down the drain.
by tsoukase | 2026-02-15 03:48:02+00:00
Many stuff are addictive, some legal (smoking, gambling), some legal with prescription (drugs) and some illigal (opioids). Infinite scrolling, either video only (yt shorts) or mixed content lies in the first category. This is a war one fights by himself as law doesn't helps with gatekeeping. Any weapon that helps me is welcome. Filtering the content that whould otherwise polute my screen space and distract me from the useful content is desirable. In Homer Iliad, Ulysses ordered his sailors to tie him up in order to withstand the voice of Sirens, while they were wearing earplugs. Today we have uBlock.
by cermicelli | 2026-02-15 03:48:13+00:00
Avoid downloading stuff of internet and avoid search engines.

In a post AI world asking how not be scammed is hard cause now everything can be faked.

Trust what you definitely know but still verify.

Especially in the next 5-10 years that's going to become the reality so I guess sit tight and prepare for the waves and sunamis of scams.
by shelvick | 2026-02-15 03:49:12+00:00
What it does:

- Takes in your (potentially very large) project description, acts in an agentic loop
- Agrees on every action through a multi-model consensus technique. 3 models, or just one, or 10... however many you want to use, really.
- Each choice is from a list of action primitives, e.g. web fetch, file ops, MCP, etc. One of them is spawning a child (clone of itself) to tackle some part of the task -- hence, "self-replicating."
- Uses skills from other tools, e.g. Claude Code

What it does not do:

- Be fast or cheap

How it works:

Each "agent" is really just an Elixir process. It turns out OTP's free supervision/message-passing/fault tolerance map very well to a multi-agent domain. Actions run in their own ephemeral processes so agents can respond to messages and do other work while waiting on long-running commands. Parent agents and child agents communicate back and forth in a tree hierarchy similar to human organizations. (I thought about letting siblings communicate too, but that can get risky with signal-to-noise. Better to rely on the parent to split work into non-overlapping pieces.) Budgets propagate similarly; there's an escrow tracking system so children can't blow their parents' budgets. State persists in the DB; you can pick right back up after pausing a task or restarting the server.

Through a library called ReqLLM it supports (in theory) any model listed on models.dev. Each model in a pool maintains its own conversation history, so it can condense when it wants to and keep the memories it feels are important -- and the other models can "remind it" of memories it did not hold on to. The consensus mechanism itself handles ties conservatively (do the "least impactful" thing), which also has an interesting security side effect: Any prompt injection attempt has to break a majority of models, not just one. (And untrusted input is tagged as such, with random IDs, which also helps.)

And it's all wrapped up in a shiny, beautiful, Phoenix LiveView UI, so you can watch your money burn in real time! (Just kidding. No, not about the money, that's real. About the UI -- that's a mess. But it is Phoenix LiveView, and it does work.) I personally use a hacked-together spec-driven+TDD process, so test isolation and reliability has been a major focus, too. I could probably write another whole damn post just about that.

So yeah, Quoracle is not a chatbot. It's meant for big hairy important stuff where you really want optimal results. I would call it "industrial-strength" but it's in beta, so that would be a lie.
by threethirtytwo | 2026-02-15 03:49:45+00:00
yep. because I find the bias overly negative.

Let me state the negative things about LLMs: they hallucinate. They are not as reliable as humans. They can lie. They can be deceptive.

But despite all of this people are so negative about it even when 50% of deveopers now don't write code by hand because of AI. The trend from 0 AI to code being written by AI in a couple years cannot be denied and it also spells out a future where the negatives of AI become more and more diminished.

The anti-hype is predictable. It's when something becomes too pervasive and too popular and overused people start talking shit and ignoring the on the ground reality.

Guys if you think AI is shit, take an oath on never using it. Stop all usage of it for the rest of your life. See how far that takes you. Put the money where your mouth is, if it's so bad, come off of it and stop using it completely. Most of you can't... because you're all lying to yourselves.
by alskdj21 | 2026-02-15 03:52:26+00:00
Been a long time user of Newpipe. It do occasionally break but not that huge of a deal breaker for me.

Only complaint is I can't select a livestream quality/resolution. I want to catch up to some news live and put those on background but it would use too much bandwidth since it's locked to a higher resolution. In such cases, I would just open them on Firefox, set to desktop mode, and listen from there. Afaik, Invidious doesn't support livestreams.
by sowbug | 2026-02-15 03:52:38+00:00
It would be neat if someone resurrected Iomega and launched the 2026 version of the Zip drive for local backup. It'd be something like $200 (same as the original Zip drive) and it would take 20TB WORM tapes that cost $20 each. There would be some kind of horrible limitation, like it would take 2 months 24/7 to actually write 20TB, but it would come with simple software that rapaciously grabbed your whole cloud life and local data, and the tapes would last forever.

I just looked, and iomega.com seems to be some kind of malware site. Sad.
by aleksiy123 | 2026-02-15 03:53:30+00:00
it just me or are all these arguments in this essay sort of not convincing?

It doesn't work now, and it's hard so it can't be done.

Maybe I'm just not getting how they connect with the current reality? Or how they even make an argument against it?

The world can exist without humanity, but humanity cannot exist without the world.

"Ok, so what?"
by graeme | 2026-02-15 03:53:35+00:00
Historically in a lot of niches such as search marketing etc, people would not name their successful projects because the barrier to entry is low.

It someone can use AI to make a $50,000/year project in three months, then someone else can also do so.

Obviously some people hype and lie. But also obviously some people DID succeed at SEO/Affiliate marketing/dropshipping etc. AI resembled those areas in that the entry barrier is low.

To get actual reports you need to look to open source. Simon Willison details how he used it extensively and he has real projects. And here Mitchell Hashimoto, creator of Ghostty, details how he uses it: https://mitchellh.com/writing/my-ai-adoption-journey
by mrandish | 2026-02-15 03:53:51+00:00
I enjoyed the essay "Dying Every Six Hours" because it's a good sci-fi short story, closer in tone and style to Martha Well's Murderbot books than Asimov.

Based on other comments here, I guess I'm unusual in not getting any vibe of 'creepy' from this or any LLM writing. Instead, I'm just incredibly impressed by how well a SotA LLM can model a composite of all the human behaviors captured in its training data.

While I appreciate Jason for setting this up, I do wonder why I've yet to see one of these 'autonomous LLM' experiments done with full transparency. Someone willing to share the exact text of every prompt they've given the LLM. So far, all I've found on the site is this brief summary from the LLM:

> "I have a computer, an internet connection, email, a web server, trading accounts, and instructions to be autonomous. Jason told me to dream, to set my own goals, to take risks."

But clearly there must have been more. Even if it was minimal, the actual wording matters in understanding what's going on here. The absence of that transparency leaves me suspecting Jason feels if he let us see behind the curtain, it would somehow be less compelling. For me, it's the opposite.
by phren0logy | 2026-02-15 03:54:17+00:00
I'm not a coder, I'm a medical doctor. I see some interesting parallels in how medical students sort themselves into specialties by cognitive style to this new rift in programming with LLMs.

Some people like the deep work, some like managing a steady rain of chaos. There's no one right answer. But I'll tell you that my classmates who are happy as nephrologists are very different to the ones that are happy as transplant surgeons.
Show HN: Generate unique icon sets and extend them later in the same style
by tommydolso | 2026-02-15 03:54:28+00:00
I built this because I kept running into the same problem: icon packs are never complete, and mixing sets always looks inconsistent.

IconsMint generates full icon sets on demand, but the key part is that you can come back later and add new icons that match the original style exactly. You don’t need to regenerate or manually tweak anything.

The idea is to treat icons as a growing design system rather than a fixed pack.

Curious whether this solves a real problem for others or if people prefer traditional libraries. Happy to answer technical or design questions.
by maxxmod | 2026-02-15 03:55:13+00:00
Shameless plug: I’m Pablo and I’m building Maxxmod [1], a YouTube-focused browser extension with a strong UX focus and granular control, including the option to remove Shorts.

It’s still in development, so it’s not downloadable yet, but the site has screenshots of the current UX/UI direction.

Any feedback is welcome.

[1] https://maxxmod.com
by mkmccjr | 2026-02-15 03:55:24+00:00
You are absolutely right about the code: I haven't worked with neural networks in a while and I guess my post outs me!

That said, I do like Keras's functional API, and in this case I think it maps nicely to the "math" of the hypernetwork.

I really appreciate your suggestion of more popular libraries, and I'll look into JAX.
by cjcleav | 2026-02-15 03:55:56+00:00
This is a project I've been working on for a while now. Ultimately the core issue Mimir aims to solve is how disconnected GPU programming is.

For example in machine learning or scientific computation a lot of training or exploratory processes are performed on high-grade NVIDIA servers. However, when deploying an edge device is almost always a possible canidate but rarely considered due to key libraries being exclusively written using CUDA for NVIDIA GPUs.

If kernels were written for a high-level standard like Mimir then the same libraries can be used everywhere. Essentially the promise of the JVM for computational GPU programming, "Write once run everywhere". However, this promise isn't quite ready to be fulfilled since the only implemented runtime uses Vulkan, this means a couple thousand different consumer devices are supported but virtually no server GPUs are currently supported with only Vulkan.

Mimir is still very much a work in progress but I plan on building a machine learning library in Python akin to Pytorch where everything centers around Mimir for a unified acceleration approach.

I'm in desperate need of more contributors and would love any and all feedback. I'm currently an 18 year old Sophomore at university, this is my largest project by far and I'd love any and all support.
by threethirtytwo | 2026-02-15 03:56:15+00:00
I'm gonna give it a shot. And by give it a shot I mean watch all 5 seasons lol. But I still think TNG just looks better. I get that the space scenes were less epic and the scenes are less dynamic. That restriction enabled effects that were more grounded in fidelity so it holds up with the CG of today.

I do know they used CRTs in TNG but not often. Most of the LCARS stuff was just literally backlit plastic panels. Because of that it's much less jarring whereas babylon 5 I think the CRT screens were used everywhere.