MurphyA/hacker-news huggingface dataset:
by the_mitsuhiko | 2026-02-05 09:51:01+00:00
I'm not working at this company but I found that these types of problems can often be simplified in the architecture.

> Most meetings start on the hour, some on the half, but most on the full. It sounds obvious to say it aloud, but the implication of this has rippled through our entire media processing infrastructure.

When you can control when it happens, you can often jitter things. For instance the naive approach of rate limiting users down to quantized times (eg: the minute, the hour, etc.) leads to every client coming back at the same time. The solution there is to apply a stable jitter so different clients get different resets.

That pattern does not go all that well with meetings as they need to happen when they happen, which is going to be mostly the hour and 30 minutes etc. However often the lead up time to those meetings is quite long, so you can do the work needed that should happen on the hour, quite a bit ahead of time and then apply the changes in one large batch on the minute.

You have similar problems quite often with things like weekly update emails. At scale it can take you a lot of time to prepare all the updates, often more than 12 hours. But you don't want the mails to come in at different times of the day so you really need to get the reports prepared and then send them out when ready.
by gamechanger123 | 2026-02-05 09:52:08+00:00
Strata Core | Founding AI Architect | Remote (India) | $30k-$40k + Equity
Building the "Sovereign OS" for supply chain compliance. We replace manual audits with multi-agentic workforces (Halal/ESG).
Stack: Python, LangGraph, Vector DBs, Azure OpenAI.
Role: Build the RAG infrastructure + Tenant Isolation from scratch
Apply https://peerlist.io/company/stratacoreai/careers/founding-ai...
by bendews | 2026-02-05 09:52:45+00:00
Thank you for saying this, I honestly could not believe how buggy and messy it was - architecture, UI, docs. I thought I was the one going crazy by not seeing it.

Seriously, go to the docs site and just start scrolling down the page titles. Classic LLM repeated rambling text, 2+ pages to explain something that could be 2 concise paragraphs etc.

Then you go to the source code and look at the modules and layout, and they basically mirror the docs website with thier verbosity and repetitiveness.

The GUI had loads of console errors, broken logo [as seen here](https://simonwillison.net/2026/Feb/1/openclaw-in-docker/) and the configuration is incomprehensible.
by xnorswap | 2026-02-05 09:54:12+00:00
An interesting article and it was refreshing to read something that had absolutely no hallmarks of LLM retouching or writing.

It contains a helpful insight that there are multiple modes in which to approach LLMs, and that helps explain the massive disparity of outcomes using them.

Off topic: This article is dated "Feb 2nd" but the footer says "2025". I assume that's a legacy generated footer and it's meant to be 2026?
by AndyMcConachie | 2026-02-05 09:54:34+00:00
The real trick, and the reason I don't build my own NAS, is standby power usage. How much wattage will a self built Linux box draw when it's not being used? It's not easy to figure out, and it's not easy to build a NAS optimized for this.

Whereas Synology or other NAS manufacturers can tell me these numbers exactly and people have reviewed the hardware and tested it.
by maldev | 2026-02-05 09:54:50+00:00
> Not the state government, and the federal government is in the midst of not a investigation under the pretence of having one.

So, the state government, has zero purview over the federal government. And immigration and interstate issues are under the domain of the federal government. They can't do an investigation, because there's probably LES(Law Enforcement Sensitive), or other sensitive government information. We have courts, and we have multiple branches of government. There's been zero charges, the executive defended and backed up the officer. The judicial hasn't done anything, because we can assume there's nothing to do. And there's a few members in the legislature pushing for it, but nothings coming, because he did nothing wrong.

Not only that, but if he did, the state government, could also try to prosecute the ICE officer. But, they arn't. The governor, and everyone else with power to prosecute and make a trial, under multiple jurisdictions, either are defending the officer, or not doing anything about what they think is a murderer, when they have the power. The governer can go and order the arrest of the ICE officer. So, either everyone, both sides, are all in on it. Or, he didn't do anything wrong.

> > But if you try to run over the police.
> She did not. It's very clear that she did not.

I think she did, the government thinks she did. And so does alot of other people. And they have alot more information than we do.

And ICE is still law enforcement, they have law enforcement powers. They are doing their job, and arresting people, who are here illegally. You don't magically wind up in America somehow without papers. You choose to come here, choose to break the laws. If I chose to go over the another country, and break their laws, I would be kicked out. You can look at Mexico, and they deport old Americans all the time. So does Thailand, kicking out a ton of British and American expats who abuse the system, and break the laws.
by StopDisinfo910 | 2026-02-05 09:55:36+00:00
What's interesting to me is here is that we basically are in terra incognita with this RAM market.

We are at a point where the market is so concentrated that nobody wants to invest in production capacity anymore as everyone wants margins to stay high. So when companies pivot to new niche like data centers, you see penuries on the consumer markets with nothing happening to solve the issue. The boom and bust cycle seems over at least as long as demands stay stable. Baring a crash of the IA economy, I don't see any short term change coming from the key manufacturers.

Yet, what I find fascinating is that the whole oligopoly has pivoted so hard, they couldn't quickly pivot back to protect these markets if challenged. There is a unique opportunity for new comers if they can get the manufacturing capacities. Some Chinese manufacturers who used to make what I would call garbage-grade chips could be tempted.
by rcxdude | 2026-02-05 09:55:59+00:00
The closed frontier models seem to sell at a substantial premium to inference on open-source models, so that does suggest that there is a decent margin to the inference. The training is where they're losing money, and the bull case is that every model makes money eventually, but the models keep getting bigger or at least more expensive to train, so they're borrowing money to make even more money later (which does need to converge somehow, i.e. they can't just keep shooting larger until the market can't actually afford to pay for the training). The bear case is that this is basically just a treadmill to stay on the frontier where they can make that premium (if the big labs ever stop they'll quickly get caught up by cheaper or even open-source models and lose their edge), in which case it's probably never going to actually become sustainable.
by IshKebab | 2026-02-05 09:55:59+00:00
> To me, this issue doesn’t seem as embarrassing as Intel’s wrong CPUIDs. Pipelined CPUs are hard to build

I disagree. Misspelling a name in the CPUID is kind of easy to do, somewhat awkward to test (in a non-tautological way), and pretty easy to work around.

Having `mul ...; lw ...;` fail show that they've done very little testing of the chip. Any basic randomised pipeline testing would hit that trivial case.

Essentially all CPUs are pipelined today. In-order pipelined CPU execution semantics are not particularly hard to test. Even some open source testing systems could detect this bug, e.g. TestRig or RISCV-DV.
by cassepipe | 2026-02-05 09:56:03+00:00
Then shouldn't you blame the party making a absolute shitshow of enforcing immigration out of incompetence and cruelty instead ? (and pressuring a state for its voters roll in the foolish attempt at meddlmeddling with the next election)

If I want what I believe is a reasonable policy and the enforcers of that policy start doing the worst job ever, it is my duty to call them out, not to call out the opposing side for mostly imaginary reasons.

Abolish ICE is not a unreasonable take. If the agents working in this agency have become some ultra politicized paramilitary, it makes sense to abolish it and create a new agency altogether.
by iLoveOncall | 2026-02-05 09:56:32+00:00
How can a study like this be reliably conducted in the UK where it's illegal?

> In the UK Biobank, people were asked to estimate how many times they’d used cannabis over their lifetime, choosing from a set of ranges. We ended up grouping people into no use, moderate use, and high use, based on the number of times they'd used cannabis. And of course that's an imperfect way to group people, but it did allow us to approximate dose-dependent effects.

Ah ok, so completely BS as expected.
by yurishimo | 2026-02-05 09:57:20+00:00
Is it possible that there could be two separate things going on here? Anecdotally, I can confirm that my memory when actively using it not better. If you tell me something when I'm zoned out, unless I set a reminder or something in my calendar, fat chance I'll remember the next day. However, I am more of a "occasional weekend" user and then only in the evening after my work and family obligations are taken care of for the day; very similar to how many people consume a whisky or other hard liquor in moderation.
by manuel_w | 2026-02-05 09:57:43+00:00
The pro-swap stance has never made sense to me because it feels like a logical loop.

There’s a common rule of thumb that says you should have swap space equal to some multiple of your RAM.

For instance, if I have 8 GB of RAM, people recommend adding 8 GB of swap. But since I like having plenty of memory, I install 16 GB of RAM instead—and yet, people still tell me to use swap. Why? At that point, I already have the same total memory as those with 8 GB of RAM and 8 GB of swap combined.

Then, if I upgrade to 24 GB of RAM, the advice doesn’t change—they still insist on enabling swap. I could install an absurd amount of RAM, and people would still tell me to set up swap space.

It seems that for some, using swap has become dogma. I just don’t see the reasoning. Memory is limited either way; whether it’s RAM or RAM + swap, the total available space is what really matters. So why insist on swap for its own sake?
by jamboca | 2026-02-05 09:58:09+00:00
firstly i dont dont care about you or what you have to think. second escalation is meaningless Lol what is this a boxing gym? we’re on an internet forum

put simply ice is a violent private militia. and people like you won’t see it until they are knocking at your door. or never. goes back to my first point. you are already living in hell
by theodric | 2026-02-05 09:59:10+00:00
> ancient skills
https://youtu.be/ZtYU87QNjPw?&t=10

It baffles me that my career trajectory somehow managed to insulate me from ever having to deal with the cloud, while such esoteric skills as swapping a hot swap disk or racking and cabling a new blade chassis are apparently on the order of finding a COBOL developer now. Really?

I can promise you that large financial institutions still have datacenters. Many, many, many datacenters!
by nosianu | 2026-02-05 09:59:32+00:00
Why do you choose that single example, which I said was just that, and pretend my whole statement hinges on it?

You are either misinformed, willfully ignorant or lying, and I've had it with this discussion style.

YES, people who use "no one is illegal" DO also say "no more borders". Not every single one, clearly humans are diverse, but your statement is just false.

Here a UK example even combining the statements (as I said, the movement is not limited to the US).
https://www.jstor.org/stable/community.11073215
by piva00 | 2026-02-05 09:59:42+00:00
Why use the loaded term anti-business when very, very few on the "left" of the USA are actually anti-business-commies-socialise-everything?

From my perspective at most there are attempts to curtail business practices untethered to any morality, which should be a net-positive for society. A completely theoretical pro-business political body would remove any and all obstacles to business: environmental regulations, labour protection, taxation, financial oversight, so on and so forth, I believe we can agree that such move would be detrimental to society at large while making businesses extremely rich, right?

The shift of framing that any attempt to curtail the bad downsides/externalities of untethered capitalism is being "anti-business" is either ignorant, misleading, or purely furthering an agenda. There's no way for capitalism to survive without oversight, its incentives are to minmax on a race to the bottom on anything possible that could give a business an edge, without rules around that the benefits of such a system are completely eroded, you create social fractures that are reflected into politics, exactly what's been happening in the USA even before Trump 1.

Perhaps this aggressive stance on being pro-business is part of the issue, and pursuing it above all else has steadily shown that society at large doesn't improve even though it fosters consumption. While this stance is pursued the political power keeps getting accumulated into the hands of an elite detached from reality, uncaring for any social aspect since there's absolutely no moral incentive to think about the social contract when you can live in an ivory tower with the scales tilted to your favour, and among others like you who also don't care about any aspect that can make the life in society better for all. Improvements to society at large are coincidental, not intentional.

Capitalism is amoral, we need mechanisms that imbue some morality to it to avoid social fractures, the core issue is finding that line to balance, and which keeps shifting and needs iterative processes to rebalance when needed. The extremist version of pro-business-nothing-else-matters is clearly not the way you find a balance on anything, like any extremism it's almost by definition wrong when meeting reality.
by jaynamburi | 2026-02-05 10:00:33+00:00
Interesting work floor plans are a great real world testbed for data centric AI because the bottleneck is almost always annotation quality, not model architecture.

We’ve seen similar patterns in document layout and indoor mapping projects: cleaning mislabeled walls/doors, fixing class imbalance (e.g., tiny symbols vs large rooms), and enforcing geometric consistency often gives bigger gains than switching models. For example, simply normalizing scale, snapping lines, and correcting room boundary labels can outperform moving from a basic U-Net to a heavier transformer.

A reproducible pipeline + curated datasets here feels especially valuable for downstream tasks like indoor navigation, energy modeling, or digital twins where noisy labels quickly compound into bad geometry.

Would be curious how you handle symbol ambiguity (stairs vs ramps, doors vs windows) and cross-domain generalization between architectural styles.

Nice focus on data quality over model churn.
by wjnc | 2026-02-05 10:01:11+00:00
My firm has partially transitioned through this curve. We went went from "fully externally supplied" systems, to an architecture that combines "externally supplied" (core functionality) with "low code" about 6 years ago. I would argue (as a financial manager) that that lead to a more flexible and more affordable architecture. A funny mixed bag problem arose though: the curve of business demands grew harder than that of IT-delivery. So IT delivered more value, but business keeps demanding a faster pace. If I project this line to the future AI will most certainly harm our external suppliers. We keep getting better at DIY development and "low code" will transition towards "no code". Not really "no code" of course, but DIY IT developed tooling.

The age of the business developer has re-arrived.

For the first time in my career, I can point to multi million euro external suppliers, tell my environment "that's basicly an API + authentication from X to Z, let's develop that ourselves" and get a response of "When" instead of "No". B2B SaaS is toast in my perspective, as are boutique firms delivering solutions + consulting. I can create a million euro team easily (that's like five developer years), if they deliver a successful insourcing. And now I feel like writing MBA-slop, but's it's all about growing your IT maturity. All insourced code is future maintenance expenditure. You need to balance that to the benefits.
by noosphr | 2026-02-05 10:02:22+00:00
5 was a great option for ml work last year since colo rented didn't come with a 10kW cable. With ram, sd and GPU prices the way they are now I have no idea what you'd need to do.

Thank goodness we did all the capex before the OpenAI ram deal and expensive nvidia gpus were the worst we had to deal with.
by eloisant | 2026-02-05 10:02:36+00:00
I guess the point is that they got this level of success (which GOG didn't reach) because they're based in US.

And I tend to agree with that, there are some reason, including the fact that it's a huge country with a wealthy population that use loans and credit cards to buy even more that they can afford. That creates a strong domestic market that you can leverage before having to look at international sales.

Nothing to do with the US government policies of course...
by _Chief | 2026-02-05 10:02:42+00:00
> If the SSH connection is set to disallow passwords and only authorize via SSH keys, how big of a risk is this

low risk, do this. Keys (ed25519,4096 rsa) are impractical to brute force. However I'd also recommend:

- use a different port than 22 (add your .ssh/config for easier UX if needed) - port 22 can get incredibly noisy with tons of bots probing

- disable passwordAuth, disable PermitRootLogin - use a normal user with sudo for your ssh

- consider a vpn please - I use tailscale, but I hear headscale is good - then use UFW to only allow SSH from the tailscale network (I generally allow all network on tailscale). Tailscale wrote a guide on this here [1]

- do not add and forget authorized_keys from machines you arent using

- I'm especially worried about how people keep giving Clawdbot/Openclaw access to all their machines, key auth means the machine is authorized on your server

- For new servers I often just add all my public keys to them (github lists all your keys at github.com/GH_USERNAME.keys

1: https://tailscale.com/docs/how-to/secure-ubuntu-server-with-...
by slyall | 2026-02-05 10:02:51+00:00
There are a bunch of ways to manage bare metal servers apart from Nix. People have been doing it for years. Kickstart, theforeman, maas, etc, [0]. Many to choose from according to your needs and layers you want them to manage.

Reality is these days you just boot a basic image that runs containers

[0] Longer list here:
https://github.com/alexellis/awesome-baremetal
by yurishimo | 2026-02-05 10:03:42+00:00
One day I'm gonna build some sort of product in Elixir. I was super interested in LiveView when it was announced and I think the component story has gotten a lot better than when I tried back in pre-1.0 days.

This video by Sasa Juric is still the gold standard (imo) of Elixir demos for anyone who hasn't seen it: https://www.youtube.com/watch?v=JvBT4XBdoUE
by jacquesm | 2026-02-05 10:04:00+00:00
A friend of mine used to buy the first model of any new and hot BMW. He'd know the specs better than the sales people and he spent a fortune on them.

They also spent more time in the shop with electrical gremlins than any car that I've ever seen. One of our employees insisted on a Mini, which is also BMW as their lease car. No other car we had had that much trouble. BMW is a crap brand that used to make very good cars. Mercedes is getting there. Neither of these will survive in the longer term if they don't somehow get back to their roots: making safe and reliable vehicles with good resale value. But for both companies the problems are in the same domain: they never got the hang of software.
by CM30 | 2026-02-05 10:04:14+00:00
I mean it makes sense. Keep in mind that:

1. There's a lot of competition in many elite fields, and a decent percentage in both groups aren't going to make it anyway.

2. Being good at something as a child doesn't mean that's your passion or the thing you want to devote your life to. Plenty of these prodigies may want to get into different fields they're not naturally gifted at instead.

3. Being really good at something as a kid can make it hard to learn the discipline needed to stay on top when things get tougher. I'm not a prodigy, but many of the things I did well at in school/college are things I did worse than expected at in unversity, since I wasn't motivated/disciplined enough to get everything done on time.

4. Some fields require physical capabilities that a child prodigy may not grow up to have, like certain sports.
by cassepipe | 2026-02-05 10:04:32+00:00
Sure but the first was arguably unreasonable and the second one was omg are you f@##%&@ kidding me, didn't you see the video about a peppered sprayed guy on his belly on the ground then not possibly brandishing with no gun since it had just been removed from him ?

It's fine to make reasonable sounding comments but for the love of God, a bit honesty wouldn't kill you.

"The party told you to ignore the evidence you see with your own ears and eyes*
by tvali | 2026-02-05 10:05:20+00:00
Here is the correct answer:

Yes, this is for GPT, but also for general Perceptron and Machine Learning.

On generalization, it assumes input vector elements and output vector optimization, in one iteration, with one cell - for perceptrons and machine learning. Specifically, there is optional multi-multi connectivity, assuming bias and weight matrices, which align to Perceptrons.

In GPT models: with CoPilot, it's actually less visible that it's root does not calculate basis for exponential and linear coefficients and their orders. Would it, it would take considerably less layers what it's doing on abstract, trained level: it is using heavy maths to calculate you symbolics, such as integrals and differentials on abstract number level.

Inside the layers, they won't do this on symmetric, mathematically consistent level to output homonomous multidimension for optimiation. It is generally your social level and personal time outcomes, and basis for all religion: somehow, you find proper coefficient to balance between short-term and long-term gain, yin and yang, and you form society and personal life; this is topic for introduction part, as well as more advanced topic of summary: let's assume the "general audience" reads 2 first, then 2 last pages, while an architect "scans" - bold, italic, and in popular parts even some colors are used, and it generally goes to what you gain by "holy" accumulation, but how you survive in constant "mundane" realms based on linear coefficients (the base chakra), such as giving children generation by generation (a head chakra). This is uniform towards capable measurements in religion and science, constituting human life within it's various perspectives and models for real-life measurement in it's terms.