MurphyA/hacker-news huggingface dataset:
by andy12_ | 2026-02-20 13:36:58+00:00
No. Chain of thought it just the model generating a single answer for longer inside <think></think> tags which are not shown in the final response. The strategy of generating different answers in parallel is something different (which can be used in conjunction with chain of thought) and is the thing used by models like Gemini 3 Deep Think and GPT-5.2 Pro.
by Dicemanx | 2026-02-20 13:37:04+00:00
I READ you

I think AI will:
DESTROY a lot of old work - very quickly
CREATE new work - just a little for the first year or two, and then start to ramp up
UPDATE existing work - quite a bit initially as people go for quick wins and low hanging fruit, and then the updates will start to get replaced by disruptive solutions

In conclusion, I believe it will create a ton of Time Surplus initially and then create new work after a few years.
by staticassertion | 2026-02-20 13:37:11+00:00
Yes, sorry, I think other posts are quite critical of yours so maybe you think this was me trying to be like "your post is bad". I think you're right (though I think that medication and therapy are often critical to help kickstart healthier habits, and it's worth noting how heavy a lift those things are), but it is just notable to me how hard those things are. I am not depressed, thankfully, because if I had to rebuild a social life or go to the gym to fix myself I'd be fucked.
by horsawlarway | 2026-02-20 13:37:12+00:00
Scarily - yes, although not by much.

I've used all 3 major providers - AWS, GCP, Azure.

AWS is no gem... it also has it's own byzantine processes to sign up and pay for things. And it also doesn't support any real and reasonable way to stop spend when you hit limits (abusive practices).

But at least I can generally sign up for and consume a new service without hours and hours of debugging.

For context - Google own Gemini 3 utterly fails to figure out how to do something as simple as "access the image doodle feature" proudly marketed here: https://gemini.google/overview/image-generation/

It can't figure out how to do. Honestly, I still can't figure out how to do it, despite signing up for about 5 different products, and trying 4 different UIs. The closest I got was to their inpainting/outpainting UI on the legacy models in their image create studio.

And none of that involved creating a billing account, which I already had, and was required for 3 of the signups.

As far as I'm concerned, this feature is fake marketing. It doesn't exist. That's the "quality" level of GCP.
by deaux | 2026-02-20 13:37:37+00:00
Problem is that there's no point in adding it unless a sizeable number of people using it, and Spotify is the only European one I can think of where that's the case. Seznam clearly isn't unless potentially a cz-only service - no idea how popular it is there.

Delivery Hero is really big and EU but too fragmented. Maybe Wise should add social login, I think Paypal has it.
by awongh | 2026-02-20 13:37:57+00:00
I think it points to OpenAI trying to pivot to leveraging their brand awareness head start and optimizing for either ads or something like the Jony Ive device- focusing on the consumer side.

For now people identify LLMs and AI with the ChatGPT brand.

This seems like it might be the stickiest thing they can grab ahold of in the long term.
by sourabhrakhya | 2026-02-20 13:39:49+00:00
Co-founder here

We built this after seeing credit teams spend hours rechecking agreements every time a new amendment arrived. The hardest part wasn’t reading - it was figuring out whether earlier approvals still held.

We’re very early and still learning. If you work with loan agreements, credit, risk, or complex contracts, I’d really value hearing how your team handles amendments today.

Happy to answer any questions.
by Tostino | 2026-02-20 13:40:03+00:00
Terraform was just for interacting with the cloud provider and spinning up the servers. Ansible was responsible for deploying all dependencies and getting the servers actually ready for use. Remember, none of this architecture was dockerized.

I had originally used Ansible to interact with the cloud provider and do the provisioning too, but someone on the corporate infrastructure team wanted to use terraform for that instead, so they did the migration.
by duskdozer | 2026-02-20 13:40:17+00:00
The guess I've had was that most people were genuinely not reading emails/messages much or paying much attention to what they wrote to begin with, bolstered by the number of times I've tried to convey simple instructions or ask simple questions just to have most of it entirely ignored. I tried all kinds of organization, tried making them very short and direct, but still fruitless. So they don't experience the same loss
by caminante | 2026-02-20 13:40:25+00:00
Not yet.

I see one poll by a cannabis outlet claiming 46% of marijuana users are millenials (read: high proportion of user base). However, <20% of millennials smoke marijuana. [0] And another claims <40% use cannabis.

That's still below the ~50% of millennials who consume alcohol.

[0]https://news.gallup.com/poll/284135/percentage-americans-smo...
by resoluteteeth | 2026-02-20 13:40:45+00:00
Exercise, therapy, and antidepressants have all been shown to have similar effect sizes for depression. It seems like some people take that to mean that therapy and antidepressants are pointless but unless there's some reason to think that the effects are mutually exclusive, a more reasonable interpretation is probably that it's good to try to do all of these things if possible if you are depressed.
by taneq | 2026-02-20 13:41:23+00:00
This is always what leaps out at me with this kind of “live better be happier” article. Yeah, if you’re sleeping well, eating well, working out regularly, spending quality time with friends, and have a healthy work life balance, you probably aren’t depressed. Might there be some possibility, perchance, that this is because any single one of those factors is almost impossible when in the pit of despair, let alone all of them at once? It’s like saying glasses cause short sightedness because hey, you almost never see someone with good eyesight wearing glasses.
by iggori | 2026-02-20 13:41:24+00:00
I have been noticing a pattern in a lot of AI products. The demos look great, but the moment you try to use them inside a real workflow they fall apart. It feels like we built an arcade of impressive tricks instead of tools that can survive real constraints. I wrote a longer piece about why this is happening and why so many AI products are stuck in demo mode. The short version is that we keep optimizing for the thing that looks good in isolation instead of the thing that works when it has to deal with state, dependencies, and long running tasks. If you build systems for a living, this will probably feel familiar.
by numpad0 | 2026-02-20 13:41:33+00:00
> Chinese is too difficult of a language.
> I have spent 5 years learning it part-time and have gotten to a level I can understand 30% of a TV show and 20% of a newspaper.
> Unfortunately it's two different languages and both are unlike almost anywhere else. The spoken language is tonal and the consonants don't easily match English.

Real voices like this coming from English speakers are always interesting to me as a Japanese speaker, showing how the concept of "learning $foreign_language" to many isn't default expected to be another one of those complimentary bag of lemons. The first thing many Chinese learners among Japanese populace are keen to point out is that the syntax is "practically identical" to English, unlike European languages. Learners of e.g. French or German never make such a point but rather chooses to bring up complicated language quirks that they can't get the knack of. And everyone laments on pronunciations.

Do I wish I spoke English natively? Not really, but these anecdotals are... interesting.
by deaux | 2026-02-20 13:41:36+00:00
As I said, anything that's not search ads. Youtubers, influencers of any size, UCG, podcasts, newsletters, you name it. LinkedIn content. There's thousands of options. Or if you do want to throw money at US/Chinese big tech, then TikTok, or Apple, or Reddit ads. Industry fairs. It entirely depends on where your niche is.

Of course if you're the next YC B2B SaaS raising big series then sure go burn your VC cash on Google Ads, but that's clearly not what OP is doing, or really most of us.
by grokx | 2026-02-20 13:41:51+00:00
Like the author, we self-host our git repos at work with Gitea, and it's working very well and brings a rather large set of features you'd expect from a GH alternative.

A great thing is that it's almost fully compatible with Github actions, so migrating an existing CI/CD should not be too painful. If you plan to move, make sure to read this first: https://docs.gitea.com/usage/actions/comparison#missing-feat...

For sure, it requires a bit of maintenance, mainly for updates, but that's all.
by dormento | 2026-02-20 13:42:50+00:00
I can relate. It sucks, but it also keeps you grounded.

Think about it. There are things that you're able to do but you will never do because you think you can't. There are also things that some people cannot do, but they'll half-ass it the whole way to hell because they think they're doing just fine.

Knowing your own shortcomings is a superpower, it keeps you on your toes, also keeps your goals realistic. Being unaware of your shortcomings is also a superpower, assuming you're isolated from the consequence. Mercifully, my experience indicates this does not happen very often.

The right path is allegedly somewhere in the middle.
by abustamam | 2026-02-20 13:43:46+00:00
While I agree with your overall point, I think art is quite different.

I don't personally consume furry art but I am a fan of Studio Ghibli and the anime medium in general. And even within that medium, certain artists have a very different style than others. I can usually tell Makoto Shinkai's style vs Hayao Miyazaki's style vs Akira Toriyama's style. I don't think any of them ever claimed to have copied each other. But they have all worked thousands of hours to perfect their craft.

With AI, you get people like me, who can't draw stick figures, tell Chatgpt or nano banana to make an anime version of themselves and then voilà! You get something that could probably pass as Miyazaki's in a minute.

No artist has a claim or monopoly on a genre, but they do have a claim on their own art style. With AI being trained on artists' styles, the artists whose works literally trained the AIs are now being inundated with low effort copycats of their creations.

That being said, I wrote in another thread comment that AI is an accelerator of what already exists. In a codebase, if you have crappy code patterns, AI will just accelerate that.

In business, like you said, people who had crappy ideas have always been able to submit crappy business ideas. Only a few of them actually tried to execute on them. With AI, more of them can execute on them.

I think this "boringness" the article is talking about always existed. It just becomes more prevelant because AI reduces the barrier to entry.
by TacticalCoder | 2026-02-20 13:44:04+00:00
> Not sure about the CPU performance being much more powerful for some shit-stained NUCs found on ebay

The 10 GBit/s NUCs you find on eBay are enterprise-grade stuff: 10 Gbit/s hasn't really been a consumer thing. A used Fujitsu, Intel or Mellanox dual 10 Gbit/s bought on eBay isn't a "stained shit" that's "not guaranteed to be reliable". It's enterprise grade hardware.

(that said the machine in TFA looks nice)
by JDye | 2026-02-20 13:44:12+00:00
It may look like they're all easily interchangable because the UI and actions are similar (you have a viewport and can do extrudes, etc..) but fundamentally, they're all working on very different objects at their core. Blender and 3DS Max are the most alike, but Zbrush is an entirely different paradigm and so is parametric CAD. An extrude in Blender is massively different from a pad in FreeCAD.

Maybe, with a ton of time and effort the blender UI could be abstracted from most of the box-modeling approach and then pasted over a different paradigm, but It'd take tens of thousands of hours I imagine,.
by micik | 2026-02-20 13:44:31+00:00
my European 40yo me feels sad for the 20yo me who bought into the whole "globalization" idea and went on to work mostly for multinationals HQed in NA only to watch their kin take a wrecking ball to the housing market in $my_town, destroy the social fabric with mind-numbing antisocial media apps and create industries around personal transportation and food delivery that became a money tap for organized crime gangs from $east_of_here, importing impoverished workers from $east_of_east_of_here to drive under illegal "fleets", fork over a part of their income from this...erm, "carsharing" + drug & food deliveries to the syndicate as, i suppose, a sinister form of "consulting fees" and then fork over most of what's left also to the syndicate for housing which the gangs helpfully provide. aka pretty much slave labor, brought to you by Uber and Uber Eats.

asking weary giants of flesh and steel to leave us alone appears not to have worked.

so yeah, i think i'm ok with EUTech websites. our companies are far from perfect but they tend to ask for permission first, unlike AirBnb, which only asks for permission once it has bribed $critical_amount of local council members.

putting it like this makes one shudder in horror over what a pestilence US corporations have been and continue to be.
by tengwar2 | 2026-02-20 13:45:00+00:00
If you want to do that, you can set many keyboards up to do exactly that. They just need to run the standard software - QMK, ZMK or Vial. You'll need to pick a keyboard with enough keys, of course, but there is plenty of choice. However there are other ways of solving the problem, e.g. a single key that is mapped to produce that combination. It's a matter of taste and experiment, and there is no reason for you to do it the same way as anyone else.
by magicalhippo | 2026-02-20 13:45:03+00:00
In my case it wasn't that they were hard to do, it was more that I just didn't have the motivation to do them.

The change needed was to actually have a reason to start doing any of them. For me, that started with being honest with myself. Deep down inside I knew the reason for my depression, I "just" had to be honest about it to be able to take control over it.

Once I did that I gained some motivation to do those things on that list, and so I started doing them. And slowly but surely I got out of my hole.

Every now and then I notice I'm halfway back down a hole. I stopped doing those things. Again I have to be honest with myself about why, and with that I can start the climb back out, starting exercising again, eating better etc.
by kibwen | 2026-02-20 13:45:16+00:00
At no point in human history has C been the best language for beginners. C was, like Javascript, hacked together in a weekend by someone who wished they could be using a better language. It was burdened with flaws from the outset and considered archaic in its design almost immediately. The best thing that can be said about the design of C is that it's at least a structured programming language, which is damning with faint praise.
by kellkell | 2026-02-20 13:45:16+00:00
The Kardashev scale measures energy control, not information processing.
If we were to define a “Kardashev scale for data,” it wouldn’t be about raw volume, but about effective abstraction capacity.

Humans don’t process data directly — we process compressed representations. So a meaningful scale would measure:

1- Throughput — how much structured data an agent can analyze per unit time.

2- Compression efficiency — how much insight is extracted per unit of data.

3- Relational depth — how many meaningful relationships can be modeled simultaneously.

Tools like Agentic Runtimes + GraphRAG don’t just increase data volume access — they expand relational modeling capacity and contextual memory.
In that sense, they move users up a scale of informational leverage, not just scale of data.
by mananaysiempre | 2026-02-20 13:45:21+00:00
In theory, for straight-line code only, the If Statement Ladder of Doom is an alternative:

int ret;
FILE *fp;
if ((fp = fopen("hello.txt", "w")) == NULL) {
perror("fopen");
ret = -1;
} else {
const char message[] = "hello world\n";
if (fwrite(message, 1, sizeof message - 1, fp) != sizeof message - 1) {
perror("fwrite");
ret = -1;
} else {
ret = 0;
}

/* fallible cleanup is unpleasant: */
if (fclose(fp) < 0) {
perror("fclose");
ret = -1;
}
}
return ret;

It is in particular universal in Microsoft documentation (but notably not actual Microsoft code; e.g. https://github.com/dotnet/runtime has plenty of cleanup gotos).

In practice, well, the “of doom” part applies: two fallible functions on the main path is (I think) about as many as you can use with it and still have the code look reasonable. A well-known unreasonable example is the official usage sample for IFileDialog: https://learn.microsoft.com/en-us/windows/win32/shell/common....
by sandreas | 2026-02-20 13:46:37+00:00
Mmh... I think that the LicheeRV Nano has kind of more value to it.

Around 20 bucks for the Wifi variant. 1GHz, 256MB RAM, USB OTG, GPIO and full Linux support while drawing less than 1W without any power optimizations and even supports < 15$ 2.8" LCDs out of the box.

And Rust can be compiled to be used with it...

https://github.com/scpcom/LicheeSG-Nano-Build/

Take a look at the `best-practise.md`.

It is also the base board of NanoKVM[1]

1: https://github.com/sipeed/NanoKVM
by visarga | 2026-02-20 13:47:28+00:00
So you are saying they are like copy, LLMs will copy some training data back to you? Why do we spend so much money training and running them if they "just regurgitate text compressed in their memory based on probability"? billions of dollars to build a lossy grep.

I think you are confused about LLMs - they take in context, and that context makes them generate new things, for existing things we have cp. By your logic pianos can't be creative instruments because they just produce the same 88 notes.
by SecretDreams | 2026-02-20 13:47:44+00:00
All of these things are vastly overvalued. Only one with tangible value is SpaceX because that's actually a moat-space. OAI holds no moat, has not done a good enough job to entrap their users, and has poor cost structure.

xAi isn't even a point of discussion.. it's just a scheme to rip off investors.

WeWork.. hard to take anyone seriously that ever invested in this bad boy.
by mathgladiator | 2026-02-20 13:48:10+00:00
Ego is truly wild. I had one last bastion of ego that echoes a bit. It was my ability to code the machine. Im that guy that really loves to code. It fills me with joy in ways that I cant describe. It was the only status I really had... until AI.

AI has freed me.

I am free to fully enjoy life as a nut case. Its fantastic as im living a second childhood right now.
by himata4113 | 2026-02-20 13:48:31+00:00
I tried to implement a minimal server just to realize that there is still no way to do so in java 21... I stand corrected I guess it was recently added: https://docs.oracle.com/en/java/javase/25/docs/api/jdk.https..., but it's a sun package instead of standard RT - but probably because it is still early.
Show HN: Clawbernetes – Replace kubectl with conversation (Rust)
by redclaw | 2026-02-20 13:48:54+00:00
Clawbernetes turns OpenClaw into an AI-native infrastructure manager. Instead of YAML, Helm charts, and kubectl — you have a conversation.

"Deploy Llama 70B on the node with the most VRAM" → agent selects the best node, pulls the image, starts the container with GPU passthrough, sets up health monitoring.

"Why is inference slow?" → checks GPU temps, VRAM, CPU load. "GPU 0 at 89°C — thermal throttling. Want me to reduce batch size?"

23 crates, 74K lines of Rust, 1,866 tests, zero unsafe in core. Supports CUDA, Metal, ROCm, Vulkan, and CPU SIMD.

Components:
- clawnode: node agent with 80+ commands (deploy, secrets, autoscale, networking, jobs, metrics)
- 14 skills that teach the AI agent infrastructure ops
- Fleet plugin for multi-node orchestration
- MOLT: P2P GPU compute marketplace (Solana SPL)

MIT licensed.

https://clawbernetes.com
https://github.com/clawbernetes/clawbernetes
Show HN: A geometric analysis of Chopin's Prelude No. 4 using 3D topology
by jimishol | 2026-02-20 13:48:55+00:00
OP here.

This is a geometric decoding of Chopin's Prelude No. 4.

I built a 3D music midi visualizer ( https://github.com/jimishol/cholidean-harmony-structure ) and realized that standard music theory couldn't explain the shapes I was seeing. So, I developed the Umbilic-Surface Grammar to map the topology of the harmony.

This document demonstrates that the prelude's tension isn't random, but a rigorous conflict between 'Gravity' (Station Shifts) and 'Will' (Pivots).

I am looking for feedback on the logic—specifically from anyone with a background in topology or music theory. Does this geometric proof hold up?
by beezlebroxxxxxx | 2026-02-20 13:49:00+00:00
If you take a "brisk" 20 minute walk every day, you'll meet the recommended weekly amount of aerobic exercise for Americans. (I think people should do more.)

The actual amount you need to exercise, or the intensity, is not very big. The good thing with exercise is also that once you make it a habit to walk, say, 20 minutes a day, then walking 25 minutes a day becomes pretty trivial, and so on.
by polyglotfacto | 2026-02-20 13:49:04+00:00
Within the Federal Reserve System, we have also been exploring the use of AI in our own operations and have established an AI program and governance framework for the use of AI technologies. One internal application of GenAI that shows considerable promise is technology modernization. Within clear guardrails, we are using GenAI tools to translate legacy code, generate unit tests, and accelerate cloud migration. So far, the result of this usage is faster delivery, improved quality, and an enhanced developer experience. In one recent project updating hundreds of databases, AI tools helped cut the time to complete this type of work by 50 percent, detected and resolved 30 percent more issues during testing compared to previous migrations, and enhanced team focus on higher-value coding work. My sense is that these are the kinds of uses and the scale of success that many businesses are experiencing.
by rayiner | 2026-02-20 13:49:25+00:00
White people in the U.S. are equivalent to Koreans in Korea. They reflect a complete spectrum of the population, from poor to rich. Non-whites generally are different sociologically. For example, 71% of hispanics speak spanish at home, in a country where the educational system is in English: https://www.pewresearch.org/short-reads/2025/10/22/key-facts.... Korea or Japan don’t have an equivalent group to that.
by soulofmischief | 2026-02-20 13:49:26+00:00
Understanding your large codebase is a few prompts away. You can ask a model to trace through and provide reports on the project's design, architectural and implementation. From there, you can drill in with followups.

Done right, you may not know specific lines or chunks of code by heart, but much like a tuned-in company CEO, you have eyes and ears on the ground and retain global oversight and insight of the project itself. For specifics, you can learn what you need as you need it. If that means knowing how every single module works, that's just a conversation with your agent.