MurphyA/hacker-news huggingface dataset:
by jonas21 | 2026-02-09 19:23:03+00:00
So that you can be using the current frontier model for the next 8 months instead of twiddling your thumbs waiting for the next one to come out?

I think you (and others) might be misunderstanding his statement a bit. He's not saying that using an old model is harmful in the sense that it outputs bad code -- he's saying it's harmful because some of the lessons you learn will be out of date and not apply to the latest models.

So yes, if you use current frontier models, you'll need to recalibrate and unlearn a few things when the next generation comes out. But in the meantime, you will have gotten 8 months (or however long it takes) of value out of the current generation.
by havblue | 2026-02-09 19:23:11+00:00
I remember back in high school, everyone would have an Eddie Bauer backpack except the random person with a Jansport. People would always insist on how you had to take advantage of the quality guarantee:

"You have a bent zipper and a small tear after lugging your books for years? Great! Take it to the store and argue with them that it's defective until they give you a new backpack!"
by crazygringo | 2026-02-09 19:23:13+00:00
Google Earth can produce a side view just fine, it's just not designed for that so it can be tricky to get the position just right with the available controls.

And like I said, the reason I didn't do it here was because it hid the label on the horizon. But here it is:

https://earth.google.com/web/@36.43138439,78.74038717,4785.2...

But without the label you can't really tell what you're looking at. And the big problem is there's no "sideways" zoom like a telescope. Google Earth effectively treats zoom like altitude only.

In my experience while hiking tall things, the Google Earth view is accurate in terms of what you see, if you manage to get the viewpoint next to the ground like this. And you appreciate that the resolution is obviously limited.
by rvz | 2026-02-09 19:23:33+00:00
> What will always remain true: ChatGPT’s answers remain independent and unbiased, conversations stay private, and people keep meaningful control over their experience.

Translation: They will very slowly abandon their 'principles', just like they did with the moment they took investment from Microsoft and the VCs.

This is how ChatGPT gets destroyed and 'ensh*ttified' for everyone. The same people who jumped ship from Meta and destroyed Facebook, Instagram, and soon Threads are also the same people that are about apply the same recipe on to ChatGPT at OpenAI.

The researchers that were there pre-ChatGPT are now being replaced by opportunist grifters that will ruin the product overrun by ads once again. It would be no-different to Google Ads.

Now we need ad-blockers for LLMs to be in place "for the benefit of humanity".
by daxuak | 2026-02-09 19:23:39+00:00
Can't you see that they are using immigration questions as an excuse to consolidate power that exceeds immigration enforcement by a large margin? The ability to detain lawful workers or pull people off the street without a warrant from a judge & hold them illegally for a significant duration can become political retaliation or terror tool and a racial profiling vehicle very quickly.

And more over, they basically have proved that the law has no sufficient ability to actually enforce court orders on the ground when the administrative branch is firmly on not obeying them. Even worse, the public opinion has been just mildly annoyed by this - by mildly I mean that only some people decided to bring themselves to the streets, separately and only on the weekends or a single day in most cases.
by Noumenon72 | 2026-02-09 19:23:45+00:00
For your commute to take 4/3 the time, you would have to be averaging 3/4 the speed -- going 45 in a 60. That doesn't make sense because even going 55 would mean traffic pulled away from you rather than you having to drop back from it. Going 55/60ths the speed means you arrive in 60/55ths the time, or an extra 4 minutes on a 45 minute commute.
by krick | 2026-02-09 19:23:56+00:00
Huh. Can you do that? I wonder what is legal status of this. I used to make all sorts of fake IDs (pretty good ones!) when I was a teen (you know, for purposes such as going to clubs, buying alcohol), but of course this is literally a crime, and not even a "minor" one. Apparently, back then it didn't bother me much, but with age I became more cowardly, I must admit. So now I use my passport data more often than not, even though I am not really a fan of the idea of giving a scan of your documents to some random guy on AirBnB (although, with some obvious caption photoshopped on top, to make the scan less re-usable). I mean, it's just a matter of fact that everyone requires them, and it also has that weird status of "semi-secret thing" that you are somehow aren't supposed to give to anyone, and I still have close to zero understanding of how that works.

So, I suppose you shouldn't give your fake id (digital or physical) to a government officials. It also seems "obvious" that it's similarly unwise to give it to a bank. But you can do that to a random guy on AirBnB? A hotel? To a delivery service (Uber/Wolt/whatever)? Dicsord? Where is the line between a bank (a private commercial corporation) and Discord (a private commercial corporation)?
by firasd | 2026-02-09 19:24:02+00:00
Interesting subplot about the Anthropic ads

> Anthropic’s Super Bowl debut, which drew close attention from rivals, illustrated the risks of that convergence. By centering its message on promising not to include ads on Claude, which OpenAI announced it would begin testing earlier this year. The company made a bet that its ad free principles would resonate with audiences more than product familiarity.

> That wager came amid a significant awareness gap. According to an S&P Global 2025 survey of 1,149 respondents, 73% reported using ChatGPT, followed by Google’s Gemini at 41%. Tools like Perplexity and Claude registered in the single digits, with only 7% of respondents saying they use Claude.

> “The vast majority of consumers don’t know what Claude is. Many people aren’t going to really get the whole ‘Oh, we’re comparing ourselves to chatGPT,’” said Williamson.
by w10-1 | 2026-02-09 19:24:39+00:00
You are asserting that security has to be hand-crafted. That is a very strong claim, if you think about it.

Is it not possible to have secure software components that only work when assembled in secure ways? Why not?

Conversely, what security claims about a component can one rely upon, without verifying it oneself?

How would a non-professional verify claims of security professionals, who have a strong interest in people depending upon their work and not challenging its utility?
by ethbr1 | 2026-02-09 19:24:47+00:00
That's missing a big chunk of the post: it's not just about visible / invisible information, but also the game theory dynamics of a specific problem and the information within it. (Adversarial or not? Perfect information or asymmetrical?)

All the additional information in the world isn't going to help an LLM-based AI conceal its poker-betting strategy, because it fundamentally has no concept of its adversarial opponent's mind, past echoes written in word form.

Cliche allegory of the cave, but LLM vs world is about switching from training artificial intelligence on shadows to the objects casting the shadows.

Sure, you have more data on shadows in trainable form, but it's an open question on whether you can reliably materialize a useful concept of the object from enough shadows. (Likely yes for some problems, no for others)
by WorldMaker | 2026-02-09 19:24:49+00:00
Which goes to show that lawmakers probably should be working more hand-in-hand with technical experts before making such laws. A regulation that provides a good technical solution would be more useful, especially if lawmakers could have helped work on ways to prove a person's age cohort estimation without say checking an entire physical ID (and all of the identity theft that can enable), or yes relying on "AI detection" that is quite game-able (literally so as reports are Death Stranding's Photo Mode is a reliable workaround for Discord's primary AI scanning vendor k-ID).
by anarticle | 2026-02-09 19:24:52+00:00
I don't think inheritances and employment are similar. No one in my family has ever had one so it may not be my area of expertise.

In my xp, older people take less shit and that's why they are less likely to be hired especially in startup world for -20% salary and +40% work. Camaraderie is personality trait I would say, and you may never get it in your line of work or jobs. It's quite rare.

"Get even" -> I have never seen this except in non-tech by extremely old boomers. Usually 55+, close to retirement, some kind of legal reason why they can't be fired easily. I left those jobs as soon as I could.

I regret to inform you that loyalty is not real in our industry.
by stackskipton | 2026-02-09 19:25:08+00:00
From my understanding on this issue, spouses of US citizens are handed a green card after paperwork is shuffled, there is no pursuing it.

When discussing this with friends, multiple spouses have pulled out green cards and only newly weds had anything else but green card. She showed her passport with some form attached to it.

Also, I did dig up the court filings: https://habeasdockets.org/media/documents/71921787/004_18103...

Yes, he was here unlawfully (Admitted as tourist and overstayed) for a period but due to his marriage, he on path to Green Card.
by Someone1234 | 2026-02-09 19:25:45+00:00
For now; Plus has already had ad-like things appear below new chats.

What they'll do is present it as a "choice." Keep paying what we're paying but have ads, or pay triple for ad-free. For example, see every streaming service.

Unfortunately people, in particularly this community, would be looking at Local LLMs for ad free alternatives, but prices on GPUs/RAM have skyrocketed keeping us trapped.
GPT-5.3-Codex review after 4 days of use
by agentifysh | 2026-02-09 19:25:58+00:00
I ‘ve been testing GPT-5.3-codex on UI code and a long running task: refactor a large typescript backend API, in particular doing authz, sql optimizations, and other vulnerability checks. It ran for 4 days with some interruptions.

The Good:

- fast, its thorough, it works well

- great for UI as the quick speed gives you a fast feedback loop

- writes way better code than previous models

The Bad:

- too eager to take action (seems the system prompt biases action), superficial and doesn’t seem to go as deep as gpt-5.2-high does unless your prompts are on point

- prone to pigeon holeing into repetitive behavior not essential to my original ask despite very explicit and careful prompts (it outright ignores or forgets)

- with UI at times it can get very stubborn and not react or listen to any new info or instructions and will require several prompts to get it to “wake up”

https://promptcoding.substack.com/p/gpt-53-codex-review-after-2-days
by 3acctforcom | 2026-02-09 19:26:18+00:00
Remember when Tumbler banned porn? People migrated to other platforms like Reddit, and it died.

Musk being a Nazi made twitter lose big enough chunks of their community to start Bluesky. Not big enough to do any real damage to the platform, but it still provided critical mass to a fledgling app.

WhatsApp having a sketchy relationship with the US government boosted Signal.

Sooooo, what is a good discord replacement?
by mrweasel | 2026-02-09 19:26:31+00:00
How long will it take for those ads to move from the bottom of the page to the top? How long until the borders between answers and ads starts to blur?

I get that OpenAI has to do something, but really, all those promises, try to convince everyone that ChatGPT will revolutionise everything and the best monetization plan is ads.... Again?
by burnerToBetOut | 2026-02-09 19:26:53+00:00
> …this is a very different kind
> of mistake to make compared
> to overwriting a file…

Both of my quotes are about some automaton deleting some thing that some human didn't want deleted.

> …but I digress…

Digressing to what the thing is that got deleted when it shouldn't have, is splitting hairs.

> …which supports my point…

My point is that believing the latest and greatest version of any piece of software from any brand to be immune to Murphy's Law, seems pretty naïve.
by kibbyd1985 | 2026-02-09 19:27:01+00:00
Author here. This project started with a simple question: can you run a 70B MoE model on
8GB VRAM by streaming weights from NVMe SSD to GPU using DirectStorage?

The short answer: the streaming works, but public MoE models don't cooperate.

The long version:

*What works well:* DirectStorage uses DMA to transfer weights from NVMe SSD to GPU via
D3D12 staging buffers, skipping the OS page cache that standard I/O relies on. I built a
C++ DLL (MSVC) that handles DirectStorage + D3D12 + CUDA interop, with Go bindings loaded
via syscall (no CGO), integrated into Ollama's Backend.Load(). Double-buffered staging with
D3D12 fences imported as CUDA external semaphores. On codestral (12.6 GB, 57 layers), it
loads 4.1x faster than stock Ollama — the advantage grows with model size because standard
I/O depends on OS page cache.

Note: the weights still need VRAM and RAM — DirectStorage changes the transfer path, not
where the weights end up. The win is that DMA doesn't depend on the OS cache being warm.

*The MoE work:* Built full expert streaming — CUDA VMM for sparse-resident pools, lazy
physical allocation, on-demand SSD→GPU streaming during Forward(), one-token-lag exact
routing (use token t's expert indices to prefetch for t+1), LRU eviction. Ran qwen3:30b
(128 experts/layer, 8 active) on 40GB RAM + 8GB VRAM. Pipeline sustains ~1.9 GB/s.

*Where it breaks:* Both models tested (gpt-oss:20b, qwen3:30b) are temporally dense.
Over ~50 tokens, every expert gets touched. Reducing cache capacity by 25% causes >1000
faults/token. The temporal working set equals the full model.

The hardest bugs were: (1) Windows DLL search order differences between EXE and DLL contexts
causing E_NOTIMPL, (2) D3D12 picking Intel iGPU while CUDA was on NVIDIA dGPU (LUID matching
fixed it), (3) D3D12 fence completion not establishing memory visibility for CUDA — had to
import the fence as a CUDA external semaphore.

The evaluation harness (max_resident_per_layer, faulted_experts_per_token) is probably the
most useful piece — it can immediately tell you if a new MoE model is temporally sparse
enough for small-VRAM inference. If anyone knows of MoE models trained with temporal
locality objectives, I'd love to test them.

Repos:
- https://github.com/kibbyd/llm_upper (research & docs)
- https://github.com/kibbyd/llm_upper_ollama (Ollama fork)
- Full writeup: https://github.com/kibbyd/llm_upper/blob/main/PROJECT_RECORD...
by groby_b | 2026-02-09 19:27:04+00:00
That's somewhat unfair to the site - they are very much still exploring how to visualize information understandably and aesthetically pleasing. Yes, they got started when infographics got really popular, but it's very much a site that's alive and continuing its work.

And really, infographics are rooted in information design. Which in itself is much older than the web. Heck, the canonical popular book - Tufte's The Visual Display of Quantitative Information - is from 1982.

I know it's not the most popular thing if you can just ask Claude for a quick visualization, but the space is both very rich in information LLMs blissfully ignore, and continues to be fertile ground for explaration.
by igravious | 2026-02-09 19:27:07+00:00
The Book: https://www.amazon.ie/Information-Beautiful-New-David-McCand...

“A visual guide to how the world really works, through stunning infographics and data visualisations, thoroughly revised, recalculated and reimagined for this new edition.

We are overwhelmed by information – from our phones, our televisions, our computers, our newspapers.

This new edition of Information is Beautiful has been revised throughout with over 20 updates and 20 new visualisations. It offers shelter from the flood by visualising data in a new way that blends facts with their connections, their context and their relationships – making information meaningful, entertaining and beautiful.

This is information like you have never seen it before – easy to flick through but also engaging enough to study – information that comes to life in your hands and your eyes.”

I remember it well (used to see it for sale in the gift shop at design galleries and the like), I coveted it but never bought it :(

Perhaps I should treat myself now that I'm not so impoverished :)
by tibbar | 2026-02-09 19:27:11+00:00
I mean, yeah, probably, but also OpenAI literally can't afford to give away this for free. They are losing a lot of money. Open source AI will continue to be a thing and they will have to compete to give you something better than what you can do yourself.

OpenAI is far from the stage of "grinding out more and more profits for investors." It's more like the stage of "most serious observers doubt that it can continue as a going concern"
by balozi | 2026-02-09 19:27:33+00:00
Immigration enforcement is a hot topic today hence why you see lots of such stories. The reality is the federal gov has been aggressive in its enforcement for decades. ICE took a break during the Obama and Biden years for some reason. Might explain younger people are surprised by the renewed enforcement.

Remember that scene in the show Seinfeld where Babu Bhatt is taken from his house for expired immigration papers? That was in 1993.
by yial | 2026-02-09 19:27:41+00:00
In the auto cruise example, it’s leaving perhaps 2 - 2.5 car distances. In close traffic the average human I would bet is leaving 1 or less then 1.

The issue is not that I can’t rebuild the following distance, the point I’m trying to make is that even if I constantly rebuild the following distance it sets off a cascading effect.

I’m following at set speed, car cuts in front, hits brakes, I now slow down, car behind me slows down, I rebuild following distance and car perhaps 7-8-9 cars behind me repeats because at some point the cascade magnifies to a larger slowdown behind.

Can I mitigate this by manually letting my distance be closer for a time, and slowly easing to larger ? Yes.

But if I allow the car to do it automatically, it will increase the follow distance at a rate that causes a cascade in tight traffic.

Though - I do think with these discussions on HN- it does depend on where you’re driving.

My experiences are centered on East Coast, thinking of route 80, 81, 83, etc. or Philly / New York City.

The driving experience is radically different in California, Florida , or the mid west.

I would say when driving in California people seem to navigate traffic better. (SF, LA) then on drivers on 80/81/83.
(Or perhaps it’s due to better designed roads ).
by daringrain32781 | 2026-02-09 19:27:48+00:00
I was recently driving a friend and hit a mile-long backup at a freeway exit. At some point in the lineup, a car abruptly cut in front of me to merge into the line. The friend asked "why'd you let them in" - but I didn't let them in on purpose, I was just maintaining a reasonable following distance which people seem to interpret as "hey cut in here for free"
by lelanthran | 2026-02-09 19:28:02+00:00
> A major platform lift and shift does not help.

ISTR that the lift-n-shift started like ... 3 years ago? That much of it was already shifted to Azure ... 2 years ago?

The only thing that changed in the last 1 year (if my above two assertions are correct (which they may not be)) is a much-publicised switch to AI-assisted coding.
by joshuakcockrell | 2026-02-09 19:28:10+00:00
Lately I’ve been interested in how budgeting apps model cash flow over time. A lot of tools are either expense trackers or monthly budgets that assume clean month boundaries, which breaks down quickly if you’re paid biweekly or irregularly.

Envelope budgeting (the method) works by allocating money up front so future obligations are actually covered before spending happens. But the hard part is handling income timing and paycheck variability without overfunding the future.

Anyways, I’m currently adding a cash flow detection algorithm to Envelope (the budgeting app) https://envelopebudgeting.com that only allocates paychecks to obligations before the next paycheck unless future funding is strictly required. That approach has avoided a lot of timing edge cases I kept running into.
by rucury | 2026-02-09 19:28:15+00:00
I've been having a lot of fun building https://vgstack.app

It's yet another video game backlog tracking service but I'm building this one to automate as much as I can about the actual game logging process. So for example, I'm auto-forwarding all my Nintendo and PlayStation purchase emails to a custom inbox. That email gets parsed, the game(s) and date(s) are extracted, and I get a new queue item I can approve or deny easily on my phone. It also has a documented CRUD API for easy integration for other services (like Zapier).

Yes, it also has a chatbot... I've been toying with a natural language interface for quick actions like "just beat TOTK" to mark Zelda: Tears of the Kingdom as "beaten". It's a bring-your-own-Gemini-key approach... So far, its working pretty well for me. It also supports basic questions about your game library and history that would be tricky to represent without a lot of filtering options. Like for example, "How many Switch games did I beat between March and July of 2024?". Fun stuff like that.

Tech stack is Django/HTMX/Alpine/DaisyUI/Postgres/self-hosted.

If you decide to try it out, I'd love your feedback! There's a quick in-product feedback widget on the bottom-left which sends me an email :)
by SpicyLemonZest | 2026-02-09 19:28:43+00:00
Yes. There's a number of people who have successfully defeated the Trump regime's attempts to oppress them by securing a piece of paper saying they're not allowed to. It doesn't work all the time, and you have every right to be furious about the times when it doesn't, but it's counterproductive to overgeneralize and conclude that legal rights don't matter at all.
by diimdeep | 2026-02-09 19:28:48+00:00
I've tried similar project, as it turns out it is surprisingly hard to reliably move second's hand and not wobble in place, you need to drive quartz motor so precisely to make gears move.

Post don't go into detail about schematic, but resistors and diodes around motor is to properly drive motor and protection from Inductive kickback (Flyback) https://www.microtype.io/blog/h-bridge-circuit-design
by triceratops | 2026-02-09 19:28:48+00:00
Here's my solution: https://news.ycombinator.com/item?id=46447282

The problem is privacy activists and free speech activists (though there's some overlap between the two they aren't the same) oppose age verification by any means since it has the potential to infringe on both ever so slightly. Meanwhile age verification gates are being demanded and thrown up all over the Internet at a frightening pace. So we get only the maximal data collection solutions implemented by people who don't give a shit about privacy or free speech. And the mass surveillance cheerleaders egg them on.

If privacy and free speech activists understood that a proactive, privacy-preserving approach to age verification is the best outcome we'd be better off.
by joostdejonge | 2026-02-09 19:29:01+00:00
Author here. This started as a simple frustration: LLMs re-derive everything from scratch, every time. A model that has correctly solved something a million times will spend the same tokens on the million-and-first.

KNOW proposes extracting proven reasoning patterns and compiling them to lightweight, deterministic programs that any model can invoke. The network builds itself - pattern detection becomes a pattern, extraction becomes a pattern. Intelligence accumulates in the commons, not in proprietary weights.

I wrote up the concept because I wanted to see if the idea survives contact with smarter people. There are open questions I don't have answers to (extraction fidelity, adversarial robustness, routing at scale). Happy to hear where this falls apart.

https://github.com/JoostdeJonge/Know