MurphyA/hacker-news huggingface dataset:
by roncesvalles | 2025-12-11 19:40:32+00:00
>Coding, which we called “computer programming” 60 years ago, is the canary in the coal mine in terms of the impact of AI. In many advanced software teams, developers no longer write the code; they type in what they want, and AI systems generate the code for them. Coding performed by AI is at a world-class level, something that wasn’t so just a year ago. According to my guide here, “There is no speculation about whether or not human replacement will take place in that vertical.”

This right here is the pinpoint root cause of the speculative bubble. Although many people believe this to be true, it simply isn't.
by breuleux | 2025-12-11 19:41:17+00:00
I think it ultimately comes down to whether you care more about the what, or more about the how. A lot of coders love the craft: making code that is elegant, terse, extensible, maintainable, efficient and/or provably correct, and so on. These are the kind of people who write programming languages, database engines, web frameworks, operating systems, or small but nifty utilities. They don't want to simply solve a problem, they want to solve a problem in the "best" possible way (sometimes at the expense of the problem itself).

It's typically been productive to care about the how, because it leads to better maintainability and a better ability to adapt or pivot to new problems. I suppose that's getting less true by the minute, though.
by SAI_Peregrinus | 2025-12-11 19:41:19+00:00
> It is totally plausible but do we really think just in words?

I find that proposition totally implausible. Some people certainly report only thinking in words & having a continuous inner monologue, but I'm not one of them. I think, then I describe my thoughts in words if I'm speaking or writing or thinking about speaking or writing.
by verdverm | 2025-12-11 19:41:46+00:00
I'm not sure, here's my anecdotal counter example, was able to get gemini-2.5-flash, in two turns, to understand and implement something I had done separately first, and it found another bug (also that I had fixed, but forgot was in this path)

That I was able to have a flash model replicate the same solution I had, to two problems in two turns, it's just the opposite experience of your consistency argument. I'm using tasks I've already solved as the evals while developing my custom agentic setup (prompts/tools/envs). They are able to do more of them today then they were even 6-12 months ago (pre-thinking models).

https://bsky.app/profile/verdverm.com/post/3m7p7gtwo5c2v
by eurekin | 2025-12-11 19:42:07+00:00
> > - Be able to actually finish a mission (game still crashes a lot just after extraction, it's still rare for the full team to survive 3 missions in a row)

> False. A few months ago I played it for an entire day and the game was fine. Last week I played it a good portion of Saturday night. I'm in several large HellDivers focused Discord servers and I've not heard a lot of people complaining about it. Maybe 6 months ago or a year ago this was the case, but not now.

I specifically mean the exact time, right after the pelican starts to fly. I keep seeing "<player> left" or "disconnected". Some come back and I have a habit of asking: "Crash?", they respond with "yeah"
by cschlaepfer | 2025-12-11 19:42:22+00:00
BrowserBook allows users to create 'auth profiles' which can be utilized in notebooks for authentication purposes. These profiles currently support username/password and 2FA via TOTP (and we recommend provisioning a service account for your automations).

For captchas, we use Kernel's stealth mode which includes a captcha solver.

Re: CI integration, today we support API-based execution, but if you have a specific CI pipeline or set of tools you'd like to see support for, let us know and we can look into it!
by vhodges | 2025-12-11 19:42:44+00:00
It could be that Gen 3 shipping late 2026 is a concession that R2 might be delayed until then.

Personally I think they will ship R2 Gen 2 vehicles to the early adopters that are less concerned with ADAS.

My R2 reservation is very late (I had to redo it for reasons) so I probably won't be able to order one until it's available anyways.
by senordevnyc | 2025-12-11 19:42:44+00:00
It is evil, the vast majority of people don't become rich without exploiting other people, and just about everyone in that position then leverages their wealth to exert even more power over people and politics.

Do you have any evidence to back this up? The cutoff for being in the richest 1% globally is about $1 million. What's the evil and exploitation you attribute to the average person with $1mm, who statistically is probably a retiree who had a pretty normal job?

We run sweatshops in poor countries, exploit their people and natural resources to death, then we send them a few crumbs of aid to paint ourselves as the good guys for the history books, how noble of us!

Can you name some of those countries that we've exploited over the last twenty years? Do me a favor and also look up their GDP per capita, or whatever other measure of financial well-being you prefer, and tell me how it's changed over the past two decades. I suspect what you'll find is that they've grown way, way faster than the developed countries who are "exploiting" them.

I'm not suggesting the world doesn't have problems, or that richer countries don't take advantage of poorer countries. But this "rich = evil" drivel is cartoonishly lacking in facts.
by thisislife2 | 2025-12-11 19:42:45+00:00
People (including me) are trying to guess probable cause, and being associated in any manner with Russia or a Russian company could get you barred from many western online services. You don't even have to be Russian to test this - I am an indian and I couldn't sign-up to try IBM (or was it Oracle?) cloud with a yandex mail id.
by mrandish | 2025-12-11 19:43:08+00:00
Due to the "Code Red" threat from Gemini 3, I suspect they'll hold off throttling for longer than usual (by incinerating even more investor capital than usual).

Jump in and soak up that extra-discounted compute while the getting is good, kids! Personally, I recently retired so I just occasionally mess around with LLMs for casual hobby projects, so I've only ever used the free tier of all the providers. Having lived through the dot com bubble, I regret not soaking up more of the free and heavily subsidized stuff back then. Trying not to miss out this time. All this compute available for free or below cost won't last too much longer...
by xpe | 2025-12-11 19:43:24+00:00
> I'm really not sure what you want me to take from this article?

I linked to the Wikipedia page as a way of pointing to the book Superforecasters by Tetlock and Gardner. If forecasting interests you, I recommend using it as a jumping off point.

> Do you contend that everyone has the same competency at forecasting stock movements?

No, and I'm not sure why you are asking me this. Superforecasters does not make that claim.

> I'm really not sure what you want me to take from this article?

If you read the book and process and internalize its lessons properly, I predict you will view what you wrote above in a different different light:

> Gotta auto grade every HN comment for how good it is at predicting stock market movement then check what the "most frequently correct" user is saying about the next 6 months.

Namely, you would have many reasons to doubt such a project from the outset and would pursue other more fruitful directions.
by SomeUserName432 | 2025-12-11 19:43:26+00:00
> It's always annoyed me that zooming in on a building will not reliably show the business that operates there.

It's actually much worse than that.

I will often see the business name as I'm zooming in, but if I zoom too far, it's no longer available. You have to find "just the right zoom level" for displaying the given business.

As if it were some weird mind game they were playing with you.
by tuhgdetzhh | 2025-12-11 19:43:37+00:00
Even if you actually use the network module in Go, just so that the compiler wouldn't strip it away, you would still have a startup latency in Go way below 25 ms from my experience with writing CLI tools.

Whereas with Python, even in the latest version, you're already looking at atleast 10x the amount of startup latency in practice.

Note: This is excluding the actual time that is made for the network call, which can of course also add quiete some milliseconds, depending on how far on planet earth your destination is.
by ricebunny | 2025-12-11 19:43:54+00:00
Many reputable websites and channels “measure” the power consumption of Mac computers using apps like Max Power Gadget or asitop. These apps are built on top of the powermetrics MacOS facility.

However, in the man pages of the facility it is clearly explained that the readings are estimated and not measured values and that they shouldn’t be used for making power consumption comparisons.

In my performance investigation studies I found that the reported CPU and GPU power consumption is vastly underestimated: in case of the GPU the reported value is just over a third of the actual consumption, as is explained in the video.

It is unfortunate that said reviewers do not bother to sanity check the numbers with a power meter and thereby perpetuate misleading information on Apple silicon performance/Watt.

In a prior investigation, where I did extensive Linear Algebra performance investigations on the M4 Max, I found that it’s CPU performance/Watt in dense matrix multiplication is well below that of Ryzen 9950X, when the computations are carried out on its Neon vector units. Similarly for Apple’s M4 Max GPU vs nVidia last gen RTX 4090.
by bigbadfeline | 2025-12-11 19:44:10+00:00
> The "market" is very much a real thing.

As real as any other legislation and as vulnerable to gaming, ignorance and malice.

> change over time is the original sin

Again, if change is a sin, so is evolution. The logical conclusion of your contention is going back to the trees and further to pre-life universe. And even that changes too much to qualify it as pure.
by Terretta | 2025-12-11 19:44:49+00:00
> It's clear that the human language network is not like LLM in that sense.

Is it though? If rhythm or tone changes meaning, then just add symbols for rhythm and tone to LLM input and train it. You'll get not just words out that differ based on those additional symbols wrapping words, but you'll also get the rhythm and tone symbols in the output.
by runtimepanic | 2025-12-11 19:45:29+00:00
For SMEs, clarity and actionable output are the most important signals. Having a simple CLI that emits SARIF/JUnit for automated pipelines is great, but adding a minimal “human readable summary” with clear pass/fail thresholds and context for compliance checks can make a huge difference in adoption. Curious if you’ve considered automated mapping of dependencies to NIS2/DORA clauses, or if you leave that for post-scan review.
by infinet | 2025-12-11 19:45:57+00:00
> the worst case is that we would have to ditch the space station (which is already planned in a few years)

There is more than one Space Station up there. "Tianhe space station module conducted preventive collision avoidance due to close approaches by the Starlink-1095 (2020-001BK) and Starlink-2305 (2021-024N) satellites on July 1 and Oct. 21 respectively." [1]. Wikipedia also has a long list of planned and proposed space stations.

1. https://www.n2yo.com/satellite-news/Chinas-space-station-man...
by npinsker | 2025-12-11 19:46:38+00:00
Completely false. This is like saying being good at chess is equivalent to being smart.

Look no farther than the hodgepodge of independent teams running cheaper models (and no doubt thousands of their own puzzles, many of which surely overlap with the private set) that somehow keep up with SotA, to see how impactful proper practice can be.

The benchmark isn’t particularly strong against gaming, especially with private data.
by zone411 | 2025-12-11 19:46:53+00:00
I've benchmarked it on the Extended NYT Connections benchmark (https://github.com/lechmazur/nyt-connections/):

The high-reasoning version of GPT-5.2 improves on GPT-5.1: 69.9 → 77.9.

The medium-reasoning version also improves: 62.7 → 72.1.

The no-reasoning version also improves: 22.1 → 27.5.

Gemini 3 Pro and Grok 4.1 Fast Reasoning still score higher.
by vel0city | 2025-12-11 19:47:01+00:00
> Its an informal word

Ah, good then, great to see you've changed your mind and now we both agree it is most definitely a word commonly used in English for over a hundred years.

Its incredible the dictionary pronounced it to you instead of showing it to you in a written form. When I go to the link I definitely see it written!

I do agree with you that it is an unprofessional word and probably not the most charitable and professional dictation result. But in the end there's two different directions dictation software can go: what was more accurate to what the person actually said (or what it thinks the person actually said), or the more correct way of saying what was said. If someone was legitimately saying "wanna", should the dictation software always auto-correct it to "want to"? If you were to type "wanna", should the keyboard auto-correct to "want to"?
by mzs | 2025-12-11 19:47:24+00:00
vxworks 6.x:

(one login session, say over serial)

-> ioTaskStdGet 0, 1 value = 3 = 0x3 -> taskIdSelf value = 13600784 = 0xcf8810

(another session, say over telnet)

-> ioTaskStdSet 0xcf8810, 1, 0x9 value = 0 = 0x0

(first session ie SERIAL)

-> printf "foo\n" -> taskIdSelf -> i

(otherone eg TELNET)

-> foo value = 4 = 0x4 value = 13600784 = 0xcf8810 NAME ENTRY TID PRI STATUS PC SP ERRNO DELAY ---------- ------------ -------- --- ---------- -------- -------- ------- ----- ...

teeheeheehaw!
by cschlaepfer | 2025-12-11 19:47:42+00:00
Thanks!

We're constantly thinking about ways we can improve the dev experience and integrations story around deploying these scripts. Right now we support API executions, and we are adding webhooks soon. We think this will unblock the earliest adopters, and as we learn more about popular use cases/workflows, we'll look to prioritize first-class integrations where it makes sense.
by kingstnap | 2025-12-11 19:48:24+00:00
Flagship models have rarely being cheaper, and especially not on release day. Only a few cases of this really.

Notable exceptions are Deepseek 3.2 and Opus 4.5 and GPT 3.5 Turbo.

The price drops usually are the form of flash and mini models being really cheap and fast. Like when we got o4 mini or 2.0 flash which was a particularly significant one.
by danaris | 2025-12-11 19:48:27+00:00
That's not what ericmay said.

I don't use Meta products, and haven't for many years. But I still have a Facebook account, because a) deleting it would be a fairly rigorous process, and b) as long as I maintain the account, I have some control over the information about me that Meta maintains; if I deleted the account, they would maintain a "shadow profile" for me that I had no control over, and (for instance) any photos tagged as containing me, I would not be able to go in and untag.
Ask HN: Relatively SoTA LLM Agents from Scratch?
by solsane | 2025-12-11 19:48:29+00:00
As we know, OpenAI is not so open.

In 2023, I was playing with transformers, RNNs and I had an understanding how it worked from top to bottom (e.g. made my own keras, could whiteboard small nets) and I can throw things together in keras or tf pretty quick

I got a job and never touched that again. Data and compute notwithstanding, how hard would it be to make a pet project foundation model using the latest techniques? I’ve heard about MoE, things like that and I figure we’re not just throwing a bunch of layers and dropout in Keras anymore.
by stego-tech | 2025-12-11 19:48:39+00:00
And therein lies the rub for why I still approach this technology with caution, rather than charge in full steam ahead: variable outputs based on immensely variable inputs.

I read stories like yours all the time, and it encourages me to keep trying LLMs from almost all the major vendors (Google being a noteworthy exception while I try and get off their platform). I want to see the magic others see, but when my IT-brain starts digging in the guts of these things, I’m always disappointed at how unstructured and random they ultimately are.

Getting back to the benchmark angle though, we’re firmly in the era of benchmark gaming - hence my quip about these things failing “the only benchmark that matters.” I meant for that to be interpreted along the lines of, “trust your own results rather than a spreadsheet matrix of other published benchmarks”, but I clearly missed the mark in making that clear. That’s on me.
by testing22321 | 2025-12-11 19:49:07+00:00
Because it’s not convenient enough, and too expensive.

Fix those two and personal car ownership will plummet in many places.

Many people don’t want to own a car, pay for insurance, gas, tires, oil changes, parking, washing etc.

Car ownership sucks horribly for most people, it’s just currently the best option. That will change.
by sundarurfriend | 2025-12-11 19:49:12+00:00
Are you saying ChatGPT's voice chat is of good quality? Because for me it's one of its most frustrating weaknesses. I vastly prefer voice input to typing, and would love it if the voice chat mode actually worked well.

But apart from the voices being pretty meh, it's also really bad at detecting and filtering out noise, taking vehicle sounds as breaks to start talking in (even if I'm talking much louder at the same time) or as some random YouTube subtitles (car motor = "Thanks for watching, subscribe!").

The speech-to-text is really unreliable (the single-chat Dictate feature gets about 98% of my words correct, this Voice mode is closer to 75%), and they clearly use an inferior model for the AI backend for this too: with the same question asked in this back-and-forth Voice mode and a normal text chat, the answer quality difference is quite stark: the Voice mode answer is most often close to useless. It seems like they've overoptimized it for speed at the cost of quality, to the extent that it feels like it's a year behind in answer reliability and usefulness.

To your question about competitors, I've recently noticed that Grok seems to be much better at both the speech-to-text part and the noise handling, and the voices are less uncanny-valley sounding too. I'd say they also don't have that stark a difference between text answers and voice mode answers, and that would be true but unfortunately mainly because its text answers are also not great with hallucinations or following instructions.

So Grok has the voice part figured out, ChatGPT has the backend AI reliability figured out, but neither provide a real usable voice mode right now.
by reify | 2025-12-11 19:49:30+00:00
A cool calculator

saved

I spent a good 3 years microdosing.

This seems quite accurate.

The threshold level, recommending a median dose of 0.7g was spot on.

My daily dose was 0.7mg.

I only used my home grown Psilocybe cubensis A+ which is a lot stronger than golden teachers.
by ericmcer | 2025-12-11 19:49:32+00:00
Exactly, if you visualize software as a bunch separate "states" (UI state, app state, DB state) then our job is to mutate states and synchronize those mutations across the system. LLMs are good at mutating a specific state in a specific way. They are trash at designing what data shape a state should be, and they are bad at figuring out how/why to propagate mutations across a system.
by LatencyKills | 2025-12-11 19:49:35+00:00
I've been using 22.04 for about six months (AI development and some Steam games) - I really enjoy it. The 24.04 upgrade was flawless.

It may sound a little odd but I'd describe my time with Pop!_OS as "quiet". It feels good to be total control again. I don't have to constantly disable things and there isn't a Copilot icon on my dock that comes back from the dead every few days.

Obsidian, 1Password, VS Code, Warp, etc. all work without issue.
by Archelaos | 2025-12-11 19:50:00+00:00
> They bought (presumably for money) a product, and expect that product to keep working as long as they need it to!

This depents on the terms of the contract. Typically, termination of service is covered in a license. If the license terms are okay in the respective jurisdiction, there is no fundamental ethical obligation to run a server beyond that. There might exist specific cases where it would be inappropriate to follow the terms by the letter, but that also has its limits.
by thaumasiotes | 2025-12-11 19:50:23+00:00
But this isn't an optimization. The 150+GB size is the "optimization", one that never actually helped with anything. The whole news here is "Helldivers 2 stopped intentionally screwing its customers".

I don't see why it's a surprise that people react "negatively", in the sense of being mad that (a) Helldivers 2 was intentionally screwing the customers before, and (b) everyone else is still doing it.
by senordevnyc | 2025-12-11 19:50:30+00:00
Waymo is delivering millions of paid rides per month all over the country with no one in the driver's seat. Tesla still can't manage that in one small city without a backup driver in the front.

But yes, just like the dozens of other times I've read this comment for years now, I'm sure "the latest version of FSD" is so groundbreaking, and it's all about to change!
by kccqzy | 2025-12-11 19:50:51+00:00
> I became rather jaded on the Liskov substitution principle after reading https://okmij.org/ftp/Computation/Subtyping

The root of the issue here is that Liskov substitution principle simply references ϕ(x) to be some property satisfied by objects of a class. It does not distinguish between properties that are designed by the author of the class to be satisfied or properties that happen to be satisfied in this particular implementation. But the Hyrum’s Law also states that properties that are accidentally true can become relied upon and as time passes become an intrinsic property. This to me suggests that the crux of the problem is that people don’t communicate sufficiently about invariants and non-invariants of their code.
by wetoastfood | 2025-12-11 19:51:06+00:00
Are you using 5.1 Thinking? I tended to prefer Claude before this model.

I use models based on the task. They still seem specialized and better at specific tasks. If I have a question I tend to go to it. If I need code, I tend to go to Claude (Code).

I go to ChatGPT for questions I have because I value an accurate answer over a quick answer and, in my experience, it tends to give me more accurate answers because of its (over) willingness to go to the web for search results and question its instincts. Claude is much more likely to make an assumption and its search patterns aren't as thorough. The slow answers don't bother me because it's an expectation I have for how I use it and they've made that use case work really well with background processing and notifications.
by spudlyo | 2025-12-11 19:51:32+00:00
Not for my use case. I can open it up, and in restored classical Latin pronunciation say "Hi, my name is X, how are you?" and it will respond (also in Latin) "Hello X, I am well, thanks for asking. I hope you are doing great." Its pronunciation is not great, but intelligible. In the written transcript, it butchers what I say, but its responses look good, although sans macrons indicating phonemic vowel length.

Gemini responds in what I think is Spanish, or perhaps Portuguese.

However I can hand an 8 minute long 48k mono mp3 of a nuanced Latin speaker who nasalizes his vowels, and makes regular use of elision to Gemini-3-pro-preview and it will produce an accurate macronized Latin transcription. It's pretty mind blowing.
by skydhash | 2025-12-11 19:52:49+00:00
The impact is that now, if you want to modify the project in some way, you will need to learn Go. It's like all the codebases in COBOL. Maybe COBOL at that time was the best language for the product, but now, it's not that easy to find someone with the knowledge to maintain the system. As soon as you make a choice, you accept that further down the line, there will be some X cost to keep going in that direction and some Y cost to revert. As a technical lead, more often you need to ensure that X or/and Y don't grow to be enormous.