MurphyA/hacker-news huggingface dataset:
by itroot | 2025-12-04 06:50:44+00:00
Yeah, I see it as a radical anti-establisment resource. I would not call it a complete nonsence though, for me it's a place where you can "get" thinking of folks who are opposing "the System". So there is some value.

I'm not political or activist of any kind. However sometimes it makes sense to get understanding how other people think, so sometimes I read comments here and there.

HN has its own bias as well. Usually the quality of discussion here is quite high though.
by auggierose | 2025-12-04 06:51:00+00:00
These papers are actually great examples of what is problematic with mathematics, just as what is problematic with papers in any other specialised field: how do you judge if this could be ever useful to you?

If you want to understand what is going on there, what is the most effective way to build a bridge from what you know, to what is written there?

If you are in a situation where the knowledge of these papers could actually greatly help, how do you become aware of it?

I think if AI could help solve these two issues, that would be really something.
by phaser | 2025-12-04 06:51:12+00:00
I started working on it around years ago very infrequently, this was the time where I experimented with concepts and programming languages... initially it was a monetary policy simulator written in go. Around 3 months ago I had the concept and basic idea working, then it was decided that I should launch.

At this point I pushed an early access build to itch.io as soon as possible. It was very incomplete and full of problems.

I changed the alarm clock to 6am and started working for a good 3 hours before work every weekday, this was great to capture my early morning energy which is when I'm the most creative and sharp. Weekends were full-time days. I sacrificed my social life completely (which is what I'm now determined to get back) what I did not sacrifice was sleep.

I released a build every single day during those three months. Some of the time was new content, some of the time was bug fixes, most of the time was both. Shipping every day forced me to slice every task in something that can be managed in a couple of days so I would keep the daily cadence.

I'm fortunate to have my wife help me with art and my good friend Pablo with the soundtrack.

So basically my formula was: 1. Work before the job 2. Sacrifice weekends 3. Sleep well 4. Daily progress 5. Ask for help
by CraigJPerry | 2025-12-04 06:52:15+00:00
It's speculative price gouging. Calling it "surge pricing" doesn't stop erosion of consumer trust in the market. Watch now as more people more readily jump to price fixing conclusions. Not helped by the inevitable further increase in speculation through feedback loops and the resultant volatility.

First come first served is a better principle than "surge pricing". A lottery is a better principle than "surge pricing". In the case that someone over purchased, they're free to dispose via secondary market if the value to them is lower than the out of stock price. I.e. decentralised pricing (and profits). Secondary market sales are just more efficient, they occur at negotiated prices that reflect true individual valuation, not the retailer's speculation.

I'd rather reward diligence and personal responsibility - if you monitor market trends, anticipate needs, and act quickly, such as buying RAM ahead of a known upcoming supply crunch, you're rewarded with access at the original price. Rather than passive reliance on wealth to solve problems. First come first served values effort and foresight. Scarcity is managed through time and effort rather than money.
by pinkmuffinere | 2025-12-04 06:52:56+00:00
I am indeed short TSLA (or rather, am taking an inverse position), and have greatly reduced my exposure to NVDA, AMZN, META, MSFT, and AAPL. I keep some exposure to GOOGL, NFLX, AMD, because I believe they are going to "win" in their industry in the long run. I plan to keep exposure to them for like 10+ years.

I have a blog post about the inverse TSLA position here: https://bagelpour.wordpress.com/2025/11/30/taking-an-inverse...
by igorkraw | 2025-12-04 06:53:18+00:00
You need to think about 1) the latent state 2) the fact that part of the model is post trained to bias the MC towards abiding by the query in the sense of the reward.

A way to look at it is that you effectively have 2 model "heads" inside the LLM, one which generates, one which biases/steers.

The MCMC is initialised based on your prompt, the generator part samples from the language distribution it has learned, while the sharpening/filtering part biases towards stuff that would be likely to have this MCMC give high rewards in the end. So the model regurgitates all the context that is deemed possibly relevant based on traces from the training data (including "tool use", which then injects additional context) and all those tokens shift the latent state into something that is more and more typical of your query.

Importantly, attention acts as a Selector and has multiple heads, and these specialize, so (simplified) one head can maintain focus on your query and "judge" the latent state, while the rest can follow that Markov chain until some subset of the generated+tool injected tokens give enough signal to the "answer now" gate that the middle flips into "summarizing" mode, which then uses the latent state of all of those tokens to actually generate the answer.

So you very much can think of it as sampling repeatedly from an MCMC using a bias, A learned stoping rule and then having a model creating the best possible combination of the traces, except that all this machinery is encoded in the same model weights that get to reuse features between another, for all the benefits and drawbacks that yields.

There was a paper close when OF became a thing that showed that instead of doing CoT, you could just spend that token budget on K parallel shorter queries (by injecting sth. Like "ok, to summarize" and "actually" to force completion ) and pick the best one/majority vote. Since then RLHF has made longer traces more in distribution (although there's another paper that showed as of early 2025 you were trading reduced variance and peak performance as well as loss of edge cases for higher performance on common cases , although this might be ameliorated by now) but that's about the way it broke down 2024-2025
by psviderski | 2025-12-04 06:53:56+00:00
Hey, creator here. Thanks for sharing this!

Uncloud[0] is a container orchestrator without a control plane. Think multi-machine Docker Compose with automatic WireGuard mesh, service discovery, and HTTPS via Caddy. Each machine just keeps a p2p-synced copy of cluster state (using Fly.io's Corrosion), so there's no quorum to maintain.

I’m building Uncloud after years of managing Kubernetes in small envs and at a unicorn. I keep seeing teams reach for K8s when they really just need to run a bunch of containers across a few machines with decent networking, rollouts, and HTTPS. The operational overhead of k8s is brutal for what they actually need.

A few things that make it unique:

- uses the familiar Docker Compose spec, no new DSL to learn

- builds and pushes your Docker images directly to your machines without an external registry (via my other project unregistry [1])

- imperative CLI (like Docker) rather than declarative reconciliation. Easier mental model and debugging

- works across cloud VMs, bare metal, even a Raspberry Pi at home behind NAT (all connected together)

- minimal resource footprint (<150MB ram)

[0]: https://github.com/psviderski/uncloud

[1]: https://github.com/psviderski/unregistry
by rbn3 | 2025-12-04 06:54:00+00:00
> So it definitely isn't leveraging GHC's typechecker for your compositions. Is the TidalCycles runtime doing some kind of runtime typechecking on whatever it parses from these strings?

the runtime is GHC (well GHCi actually). tidal's type system (and thus GHC's typechecker) ensures that only computationally valid pattern transformations can be composed together. if you're interested in the type system here's a good overview from a programmer's perspective https://www.imn.htwk-leipzig.de/~waldmann/etc/untutorial/tc/...

these strings are a special case, they're formatted in "mini-notation" which is parsed into composed functions at runtime. a very expressive kind of syntactic sugar you could say. while they're the most immediately obvious feature of Tidal (and have since been adapted in numerous other livecoding languages), mini-notation is really just the tip of the iceberg.

>The whole paradigm is going to encourage a very specific style of composition where repeating structures and their variations are the primary organizational principle.

but that applies to virtually all music, from bach to coltrane to the beatles! my point is that despite what the average livecoder might stream/perform online, live coding languages are certainly not restricted to or even particularly geared towards repetitive dance music - it just happens that that's a common denominator of the kind of demographic who's interested in livecoding music in the first place.

i'd argue that (assuming sufficient knowledge of the underlying theory) composing a fugue in the style of bach is much easier in tidal than in a DAW or other music software. on the more experimental end, a composition in which no measure ever repeats fully is trivial to realize in tidalcycles - it takes only a handful of lines of code to build up a stochastic composition based on markov chains, perlin noise and conditional pattern transformations. via the latter you can actually sculpt these generative processes into something that sounds intentional and follows some inner logic rather than just being random.

the text-based interface makes it much easier to use than anything GUI-based. it's all just pure functions that you can compose together, you could almost say that Tidal is like a musical equivalent of shell programs and pipes. equally useful and expressive both for a 10 year old and a CS professor.

>I think Pandoc or Shellcheck would win on this metric.

touché!
by tossaway0 | 2025-12-04 06:54:41+00:00
The reason these series always get compared is because Indy’s tight rules make it less compelling while F1’s more open rules make it less competitive.

WEC (and IMSA a bit) solve those problems but they have so many drivers and teams that it takes a lot of dedication to follow along.

In the end you end up wondering if your favorites could hack it in the WRC.
Show HN: Wan 2.6 – Professional AI Video Generation with Reference Consistency
by lu794377 | 2025-12-04 06:55:01+00:00
Hi HN,

We've built Wan 2.6, an AI video generation platform focused on reference consistency, multi-shot narratives, and production-grade quality for creators who need reliable, editable video workflows—not just random outputs.

Key capabilities:

Reference Video Generation: Use existing videos as style/motion references. Maintain consistent visual language across projects and compete with Sora 2 on reference-based quality.

Multi-Shot Narratives: Create complex scenes with smooth transitions, sequential storytelling, and dynamic camera work that actually makes sense.

Production Quality: 1080p at 24fps with improved motion stability, detail preservation, and temporal consistency. Longer durations that meet professional standards.

Native Audio-Visual Sync: Precise lip-sync and audio alignment across multiple languages. Generate complete videos with voiceover, music, and matched lip movements in one pass. Supports 16:9, 9:16, and 1:1 aspect ratios.

Why we built this:

Most AI video tools produce isolated clips with inconsistent style and broken continuity. Wan 2.6 focuses on coherent, reference-driven workflows for marketers, educators, filmmakers, and content creators building multi-shot or serialized video content.

We'd love feedback on:

How reference consistency would change your video production workflow

What integrations or API features would make this more useful

Use cases we haven't considered

Try it here: https://www.wan2-6.com/?i=d1d5k
by lenkite | 2025-12-04 06:55:48+00:00
Yeah, well you can write "enterprise 10k patterns crap" in any language. Java projects suffered from the craze of those initial years where every "architect" and their grandmother insisted on patterns.

Idiomatic, Modern Java is written quite differently. Today, Go has a lot of arcane, noisy, complex code too. Ex: many, many k8s Go projects.
by energy123 | 2025-12-04 06:55:57+00:00
> First come first served is a better principle than "surge pricing".

This is called a price ceiling, and it's a bad idea with a track record of failure and significant harm.

I'd rather pay extra and get what I need with 100% chance than get what I need cheaply with 5% chance and otherwise be forced to go without or buy from scalpers for the same price I would have paid anyways. This is the purpose of prices. So the people who really need it can buy it, and those who are borderline about the purchase decide to opt out.

If you're concerned with wealth inequality or one large buyer cornering the market, there are better ways to address those problem than prices ceilings.
by Aurornis | 2025-12-04 06:56:13+00:00
The big news story this cycle is that OpenAI secured two large contracts with two separate DRAM companies at the same time, carefully timing the deals so that neither DRAM company knew about the deal with other. Had either company known about the true demand from OpenAI they would have charged a lot more, but each only saw about half.

In other words, there was no collusion between the DRAM manufacturers. They were both caught off guard and left a lot of money on the table.

The current price increase is the result of the huge demand spike. Production takes years to ramp up, but demand has spiked rapidly. Supply and demand.
by YZF | 2025-12-04 06:57:32+00:00
I think part of this is that there is no one AI and there is no one point in time.

The other day Claude Code correctly debugged an issue for me, that was seen in production, in a large product. It found a bug a human wrote, a human reviewed, and fixed it. For those interested the bug had to do with chunk decoding, the author incorrectly re-initialized the decoder in the loop for every chunk. So single chunk - works. >1 chunk fails.

I was not familiar with the code base. Developers who worked on the code base spent some time and didn't figure out what was going on. They also were not familiar with the specific code. But once Claude pointed this out that became pretty obvious and Claude rewrote the code correctly.

So when someone tells me "there's not much there" and when the evidence says the opposite I'm going to believe my own lying eyes. And yes, I could have done this myself but Claude did this much faster and correctly.

That said, it does not handle all tasks with the same consistency. Some things it can really mess up. So you need to learn what it does well and what it does less well and how and when to interact with it to get the results you want.

It is automation on steroids with near human (lessay intern) capabilities. It makes mistakes, sometimes stupid ones, but so do humans.
by ashishb | 2025-12-04 06:57:36+00:00
> TypeScript is really nice though.

Even if that's true, it is irrelevant.

- You need to decide package manager and everyone has their favorite one: npm, yarn, bun, pnpm ... - You need to depend on npmjs.com for dependencies, which has an unusually high number of malicious packages compared to other dependency sources. - You need to use some framework like Next.js, which itself is a cesspool of backward-incompatible changes, combined with outrageous security issues
by platevoltage | 2025-12-04 06:57:53+00:00
> In 2015 there were 3,000 games released to Steam, last year there were 18,000. In 2015 Steam's peak concurrent user count was 8.6 million. This year it's 41 million.

This is like saying "Spotify's subscriber count grew by 800% over the last 10 years. Music is doing better than ever!"
by boston_clone | 2025-12-04 06:58:27+00:00
All good, it can be a ...chore to keep track of what decisions and reversals the current administration is making.

To support your original claim - when I was in the military, we were explicitly forbidden to look at anything Snowden leaked as it was still classified and would be a violation of our clearances as we did not have either the appropriate level (e.g., TS-SCI) or need to know. Kind of understandable, but still.
by lambchoppers | 2025-12-04 06:58:42+00:00
From my PoV you are trolling with virtue signalling and thought terminating memes.. You don't want to discuss why every(?) technological introduction so far has ignored priorities such as your sentiments and any devil's adovocate must be the devil..

The members of HN are actually a pretty strongly biased sample towards people who get the omelet when the eggs get broken.
by Grisu_FTP | 2025-12-04 06:58:51+00:00
This is a bit offtopic (but im genuinely curious since i dont use iPhones) but is there any advantage to using faceid over touchid in iphones? This Notch/Dynamic Island looks terrible IMO. Also you can "Authorize" stuff without even having physical access to your device, someone could in theory pick up your phone, make it face towards you, say "LOOK!" and your phone is unlocked. Also i found it far more unreliable to instantly unlock.

A fingerprint reader inside the powerbutton is the way to go IMO, you instantly unlock when u press the power button, you have to actually touch the device to verify and you have no notch.

IIRC just looking at the confirmation if i wanted to buy something in the app store via face id was enough to confirm it.
by nemanja_codes | 2025-12-04 06:59:39+00:00
Location: Serbia, GMT +1 Remote: Yes Willing to relocate: Yes Technologies: React, Next.js, JavaScript/TypeScript, Node.js, Astro, TailwindCSS, Jest, Cypress, Prisma, PostrgreSQL, MongoDB, Docker, C#/.NET Resume/CV: Available on request GitHub: https://github.com/nemanjam Website: https://nemanjamitic.com LinkedIn: https://www.linkedin.com/in/nemanja-mitic Email: nemanja.mitic.elfak [at] hotmail.com

I am a full stack developer with a Master's degree in Computer Science and 4.5 years of professional experience with JavaScript. My top skills are React/Next.js and I am also good with Node.js backends. I have decent experience with C# and .NET but currently it is not my main focus. I have a decent understanding of DevOps technologies (Linux, containers, IaC, automation) for a developer. I also have an interest in Python and FastAPI.

Here are some of my projects:

1. Comprehensive project: full stack Next.js, Prisma, unit, integration, e2e tests, CI/CD.

https://github.com/nemanjam/nextjs-prisma-boilerplate

2. Latest project: HN job ads aggregator, Next.js, SQLite (GitHub and demo links are in the first post).

https://news.ycombinator.com/item?id=42373936

I have experience working remotely for startups within globally distributed multicultural teams.

I am looking for a full-time remote position. If we work well and stable I can relocate. I have detailed resume available upon request. You can check out my other projects at https://github.com/nemanjam . You can tell me about your company and project via email: nemanja.mitic.elfak [at] hotmail.com or connect with me on LinkedIn: https://www.linkedin.com/in/nemanja-mitic .
by littlestymaar | 2025-12-04 07:00:06+00:00
> For tasks that arent customer facing, LLMs rock. Human in the loop. Perfectly fine. But whenever I see AI interacting with someones customer directly I just get sort of anxious

Especially since every mainstream model has been human preference-tuned to obey the requests of the user…

I think you may be able to have an LLM customer facing, but it would have to be a purpose-trained one from a base model, not a repurposed sycophantic chat assistant.
by fancy_pantser | 2025-12-04 07:01:04+00:00
> The team then created VeriGen, the first specialized AI model trained solely to generate Verilog code.

Perhaps it's the first open one. I was an eng manager at a hyperscaler helping one of our clients, a large semiconductor design company, build models to use internally. It was trained on their extensive Verilog repos, tooling, and strict style guides. I see this being repeated across industries, at least since 2023 there are quite a few deep-pocketed S&P 500 orgs creating models from scratch or extensively finetuning to give unique advantages they require. They're rarely announced specifically, but you can often infer from the initial investment or partnership announcements that they're working on it.
by YZF | 2025-12-04 07:01:05+00:00
This is very true. So you can't just ask people to use AI and expect better output even if AI is all the hype. The bottlenecks are not how many lines of code you can produce in a typical big team/company.

I think this means a lot of big businesses are about to get "disrupted" because small teams can become more efficient because for them sheer generation of somtimes boilerplate low quality code is actually a bottleneck.
by thaumasiotes | 2025-12-04 07:01:38+00:00
> Unless you mean to imply that formulating an original poem in your mind counts as "writing"

You're close. I'm making the point that, in modern English, no other verb is available for the act of creating a poem.

Here's a quote from the fantasy novel The Way of Kings that always appealed to me:

>> "Many of our nuatoma -- this thing, it is the same as your lighteyes, only their eyes are not light--"

>> "How can you be a lighteyes without light eyes?" Teft said with a scowl.

>> "By having dark eyes," Rock said, as if it were obvious. "We do not pick our leaders this way. Is complicated. But do not interrupt story."

For an example from reality, I am forced to tell people who ask me that the English translation of 姓 is "last name", despite the fact that the 姓 comes first.

Similarly, the word for writing a poem is "write", whether this creates a written artifact or not. And the poem is literature whether a written artifact currently exists, used to exist, or never existed.

(Though you've made me curious: if the Iliad wasn't literature until someone wrote it down, do you symmetrically believe that Sophocles' Sisyphus is no longer literature because it is no longer written down?)
by ssl-3 | 2025-12-04 07:02:18+00:00
In the small-town bits of Ohio I've lived in for most of my life, computer stores come and go from time to time. There used to be more of them but they still exist.

The one that my first PC came from (in 1988) was open for something like 20 years. Another that still remains has been there for 33 years.

Plus, I mean: Best Buy stocks some PC parts. So does Wal-Mart. They're not "local," but they're nearby and they have stuff.

I have complete confidence that I could leave the house in the morning with nothing but some cash, and come home with enough parts to build a performant and modern PC from ~scratch in about an hour or two -- including travel.

And that's Ohio -- it's flyover country, full of corn fields and cowpies.
by tills13 | 2025-12-04 07:03:08+00:00
Why is it that consumers always get shafted here and we just keep going on like "it's just business"

Why isn't some consumer protection regulator going "actually no, OpenAI, you can't corner the market for the foreseeable future"

Hell, make OpenAI pay for this shit up front. You want to corner the market? Put up the money you don't have.
by sateesh | 2025-12-04 07:03:19+00:00
What you are proposing is too sweeping, it is not just privacy that suffers. Making a single ID (whose attributes can't be changed) an entire identity of a person is a very risky one. This makes it a single point of failure and in cases like an ID theft, misuse the affected person suffers gravely, and onus will be on them to prove who they are, a Kafkaesque nightmare it would be.