MurphyA/hacker-news huggingface dataset:
by aperezdieppa | 2026-01-21 16:27:49+00:00
I keep seeing a failure mode in service-oriented systems:

We version code (and sometimes infra), but external system changes (DB, queues, IAM/policies, schema registry, flags)
often live as runbooks and “don’t forget” steps.

When they diverge across environments, failures are often silent and only surface later as drift.

Two questions:
1) How do you keep these changes aligned with app versions across environments?
2) Where does it break most often for you: data, messaging, IAM/policy, or config/flags?
by _ache_ | 2026-01-21 16:27:55+00:00
Yeap, along with `+++`, `**` and mixing if I remember correctly.
I don't understand the logic of using an non-standard syntax because some non-standard implementations may not render correctly.

Actually, yes, now you know for a fact that none of the Markdown implementation will render it correctly.

So, I guess, they used `~~~` instead and it was an error in OP post.
by Imustaskforhelp | 2026-01-21 16:28:31+00:00
Tech and finance have wedded to each other and finance has lobbied for politics so hard.

So I don't think that tech and politics can be seperated from each other and this shows why.

Earlier, I don't think that appreciating Elon Musk was considered political for the most part (well I read his biography and I thought he was just interesting guy) but his recent acts on twitter (I refuse to call it X) etc. just show how bubbly even I or people who read his biography were.

After some new reports on him, I feel much more in disdain of man than not. My cousin still glazes Elon tho.

I feel like there is some dunning kruger effect at play here. I read his biography -> I feel smart -> I say Elon's smart previously on HN -> elon acts dumb as mouse with ketamine fueled addiction -> but I supported Elon earlier -> most people don't want internal contradictions so they will try to justify it -> Gets into glazing elon -> Flags people who give genuine criticism of the guy now -> gets to the far alt right

I feel like the problem is more so the extremism.

There are some real issues happening in the world and news is covering it but some hackernews users definitely flag anything that they find not fitting in their world order.

I just want to say that its okay to have internal contradiction because we are all human and we can evaluate people wrongly. Doesn't mean we have to stick with that.

I remember watching pirates of silicon valley when I was in middle school (it was in a pendrive connected to TV so whenever satellite connection got lost, I used to watch it), I even went ahead in school and gave a speech on steve jobs, next and everything so much so that the teacher (he was a teacher for such extra activities started calling me steve jobs)

Anyways, my point is that it was only later in life where I realized that althoguh steve jobs was a good businessman, how valuable steve wozniak and other underrated people are and how ethically questionable xerox's decision was and his personal life too...

I just want to say that there is a nuance about steve jobs as well, he was pretty rude to his employees.

Like I feel like there is just nuance to the whole situation that people forget in HN
by cootsnuck | 2026-01-21 16:28:46+00:00
Well I think we're just describing taste and craft. AI tools will get better, more granular, and become better integrated into the actual workflows of people over time. A good tool shouldn't take over my sense for taste and craft.

It's a good thing people are pushing back against the slop if we want there to be any incentives for AI tools to not be geared towards helping make slop.
by abricq | 2026-01-21 16:28:52+00:00
This game gave me a real-life déjà vu. A few months ago, three friends and I spent a long weekend trying to build a Game Boy emulator from scratch in Rust. None of us had ever worked on emulators before—we basically gave ourselves three days to read the docs, figure things out, and ship something. It was chaotic but also educational and an absolute blast. Encouraging anyone that wants to learn a bit more about simple computers and assembly to try that ! If anyone’s curious about what came out of it: https://github.com/chalune-dev/gameboy
by scratchyone | 2026-01-21 16:28:57+00:00
I've seen that as well. I think its still valuable to point out that the text feels like LLM text, so that the person can understand how they are coming across. IMO a better solution is to use a translation tool rather than processing discussions through a general-purpose LLM.

But agreed, to me the primary concern is that there's no disclosure, so it's impossible to know if you're talking to a human using an LLM translator, or just wasting your time talking to an LLM.
by atoav | 2026-01-21 16:29:06+00:00
What about it? My work place (university) also stores its data local (internal network/storage) because that is where it is needed 99.99% of the time and bandwidth costs money. On the off chance that someone needs to access something from the outside wie have an host of ways to do that.

We could also have everything on a cloud in a foreign country with a mad king, but what would be the benefits of that?
Avoid Cerebras if you are a founder
by remusomega | 2026-01-21 16:29:09+00:00
I was an Enterprise customer on their platform. Cerebras began terminating production models and replacing them every few months. This time they notified us they are terminating Llama 3.3 70B, which is the model my plan was subscribed to.

Instead of offering us an alternative plan they told us all others are sold out and have kicked us off their platform.

Their Discord support group has multiple Enterprise customers all getting the same treatment. Their own support staff is telling them to migrate to Groq.

You can’t build a stable business with a company that randomly terminates models this frequently. Who does not respect their customers (especially Enterprise customers, not even small utilizers), offering zero contingency plans if they decide to axe your model.

Because of their architecture, they can only host a finite number of models. Turnover is fast, so if your model gets marked for deprecation, you will get forced off the platform.

Cerebras is cool for personal Hobby projects, but is in absolutely no position to be selling "Enterprise" accounts to businesses.
by torginus | 2026-01-21 16:29:26+00:00
Thing is, image generators might be better than when SD came out years ago, there's been zero progress on actually meaningfully integrating AI into artists' workflow.

The problem is AI assisted art does not yet exist the same way you can get an LLM to help you finish a project you started by hand, where you can arbitrarily decide how much control you want to exercise over the output.
by PaulHoule | 2026-01-21 16:29:27+00:00
None of the above. I use Junie to help code and think I am writing better code if not writing it faster.

Copilot also helps me transform into a fox and I have all kinds of KPI for that (e.g. got petted) but as-a-fox or otherwise I reject that there is anything 10x about it.

If you think you are 10x more productive coding before I implore you to look at it from the viewpoint of your team. I've been the guy who picks up projects that were "80% done" and had to do the last 80%. What gets me is the inconsistency, the times it does something better than I would do myself instantly vs the times I want it touch 2 files and it modified 35 and I can't tell what the hell it was thinking and frankly don't care.
by taeric | 2026-01-21 16:29:34+00:00
Related to this, I find the "default to round numbers" influence interesting on things like minimal speeds. Where my understanding is many metric based systems have a smallest max speed of 30km/h. Which is between the common 15 and 20 that I'm used to seeing as the lowest.

I tried asking on a forum once on how this impacted default room sizes. I see standard ceiling size in the US is moving to 9 feet. I am assuming places on metric would not standardize on that number, but curious if they would just stick to the nearest half, or go to the nearest whole meter. (I "tried" asking, as people seemed to think that you would just design the room to be 2.74 meters and call it a day. That strikes me as very unlikely, as design tools really love "snap to grid.")
by tucnak | 2026-01-21 16:29:51+00:00
I'm finding it hard to identify any particulars in this piece, considering the largely self-defeating manner in which the arguments are presented, or should I say, compiled, from popular media. Had it not been endorsed by Stanford in some capacity, and sensationalised by means of punchy headline, we wouldn't be having this conversation in the first place! Now, much has been said about various purported externalities of LLM technology, and continues so, on a daily basis—here in Hacker News comments, if not elsewhere. Between wannabe ethicists and LessWrong types, contemplating the meaning of the word "intelligence," we're in no short supply of opinions on AI.

If you'd like to hear my opinion, I happen to think that LLM technology is the most important, arguably the only thing, to have happened in philosophy since Wittgenstein; indeed, Wittgenstein presents the only viable framework for comprehending AI in all of humanities. Part because it's what LLM "does"—compute arbitrary discourses, and part because that is what all good humanities end up doing—examining arbitrary discourses, not unlike the current affairs they cite in the opinion piece at hand, for arguments that they present, and ultimately, the language used to construct these arguments. If we're going to be concerned with AI like that, we shall start by making effort to avoid all kinds of language games that allow frivolously substituting "what AI does" for "what people do with AI."

This may sound simple, obvious even, but it also happens to be much easier said than done.

That is not to say that AI doesn't make a material difference to what people would otherwise do without it, but exactly like all of language is a tool—a hammer, if you will, that only gains meaning during use—AI is not different in that respect. For the longest time, humans had monopoly on computing of arbitrary discourses. This is why lawyers exist, too—so that we may compute certain discourses reliably. What has changed is now computers get to do it, too; currently, with varying degree of success. For "AI" to "destroy institutions," or in other words, for it doing someone's bidding to some undesirable end, something in the structure of said institutions must allow that in the first place! If it so happens that AI can help illuminate these things, like all good tools in philosophy of language do, it also means that we're in luck, and there's hope for better institutions.
by moron4hire | 2026-01-21 16:30:03+00:00
> ChatGPT Codex GPT5.2 high reasoning

"... brought to you by Costco."

But seriously, I can't help but think that this proliferation of massive numbers of iterations on these models and productizations of the models is an indication that their owners have no idea what they are doing with any of it. They're making variations and throwing them against the wall to see what sticks.
by fc417fc802 | 2026-01-21 16:30:10+00:00
No, it doesn't "depend on how you calculate statistics". Or rather you are not asking the right question. We do not care if a different person suffers a false negative. The question is if you, personally, are likely to suffer a false negative. In other words, will any given real world deployment of the solution be expected to suffer from an unacceptably high rate of false negatives?

Answering that requires figuring out two things. The sort of real world deployment you're designing for and what the acceptable false negative rate is. For an extremely conservative lower bound suppose 1 error per TiB per year and suppose 1000 TiB of storage. That gives a 99.99998% success rate for any given year. That translates to expecting 1 false negative every 4 million years.

I don't know about you but I certainly don't have anywhere near a petabyte of data, I don't suffer corruption at anywhere near a rate of 1 event per TiB per year, and I'm not in the business of archiving digital data on a geological timeframe.

32 bits is more than fit for purpose.
by yoz-y | 2026-01-21 16:30:17+00:00
One possible line: can you actually copyright it?

A result of a prompt you can’t, I believe you can’t trace over a copyrighted work and claim it as your own either so I say that tracing over an AI generated image would not fly either. But IANAL so the details to be fleshed out. Also would probably break if one uses a model that is not trained on any copyrighted data.
by bogwog | 2026-01-21 16:30:18+00:00
Librewolf disables webgl out of the box to combat fingerprinting. You have to enable it by setting `webgl.disabled = false` in about:config, OR maybe it'll work if you add an exception for the site in settings under the tracking protection section.

The site works on my Librewolf version 146.0-2 installed via Flatpak
by nayuki | 2026-01-21 16:30:25+00:00
> I find the imperial system fits in better with that warmth of humanity

Right, so you enjoy warmth such as: 1 foot = 12 inches, 1 stone = 14 pounds, 1 pound = 16 ounces. Lots of useless names and numbers to memorize compared to kilo = 1000, milli = 0.001.

> in favor of cultural uniqueness and fun over conformity

You're writing in impeccable English. As we know, English is an international language and most definitely not the pinnacle of cultural uniqueness or non-conformity. Why not adopt a more esoteric and fun language for yourself such as, who knows, Esperanto, Lojban, Klingon, etc.?

> in contrast to [...] the cold calculation of the more “scientific” metric system

Decimals are optimized for cold calculation, yes. Would you like to use a monetary system based on pounds, shillings, and pence - like the UK and Australia right into the 20th century? Did you know that the New York Stock Exchange traded in increments of $1/8 and later $1/16, before fully decimalizing?
by ETH_start | 2026-01-21 16:30:39+00:00
I'd like to see the same kind of scrutiny of private information handling by conventional government departments.

https://www.moneyness.ca/2024/07/your-finances-are-being-sno...

>472 different U.S. law enforcement agencies at the Federal, state, and local levels have the ability to directly query FinCEN's database of CTRs, suspicious activity reports, and more. This amounts to around 14,000 law enforcement officers who can search through the personal financial data of American citizens. In 2023, these 14,000 users conducted 2.3 million searches using FinCEN's query tool.

>FinCEN's data can also be downloaded in bulk form to the in-house servers of eleven different federal agencies, including the FBI, ICE, and the IRS. Bulk access (also known as Agency Integrated Access) means that the FBI, ICE, IRS, and eight other agencies don't need to use FinCEN's query tool. This bulk data can be access by another 35,000 agents. Alas, FinCEN doesn't track how many in-house searches were conducted by these agents in 2023, but I'd guess it's in the tens if not hundreds of millions.
by yndoendo | 2026-01-21 16:30:45+00:00
I see that as being partially true. There will be people like Walter Keane that take the art of others and state it is their own work. [0] AI will assist those individuals.

AI will have a home on people's desktops for those that accept it.

Art that has value will not be AI art. Artist like Margaret Keane will continue to be viewed as exceptional along with their works. [1]

Personally, I view AI art as lacking passion and an attempt to short circuit the path to profit / greed. I wish to not fund that circuit.

[0] https://en.wikipedia.org/wiki/Walter_Keane

[1] https://en.wikipedia.org/wiki/Margaret_Keane
by Imustaskforhelp | 2026-01-21 16:30:47+00:00
> In a sense, "everything" is "political", and always has been. It's practically a given, since politics is literally about governing our lives, technical standards, industry regulations, etc. A ton of news, especially that worth discussing, happens within this lens. Now, if, for example, HN allows stories about twitter to be killed opaquely and selectively, this is a political act in and of itself & the selection is telling.

This still does a huge disservice to how the degradation can happen in discussions when now Everything is becoming more political so much so that one side of the party needs to flag what the other party says and this division is running deep creating a large seperation.
by cthalupa | 2026-01-21 16:30:49+00:00
> But if you worked at a fantasy publishing house and commissioned a cover painting, it might take a fair amount of work for you to get the artist to create something in line with what you envisioned.

If you do this infrequently, you're a commissioner of work.

If you do it daily, in-house, for your own products... you might just have the title "Art Director."
by godelski | 2026-01-21 16:31:33+00:00
While I agree with a lot of what you said, your comment implies catalysts and accelerants don't matter.

The roots of the problem are very real and very complex but forcing them to be addressed quickly throws people into panic mode and frankly that leads to sloppy solutions that are going to cause the cycle to repeat (though will temporarily solve some problems, and this is far better than nothing).

> We are collectively offloading that to AI.

Frankly, this is happening because so many are already in that panicked stressed mode (due to many factors, not just social media). It's well know people can't think critically under high stress. AI isn't the cause of that stress but it sure is amplifying many of them
by giraffe_lady | 2026-01-21 16:31:40+00:00
The biggest example of this is on military stuff. You can literally post northrup grumman placed articles from military trade journals fawning over some new weapon system and that's fine, that's technology. But any comment about the applications of that technology, who it will be used on, by whom, for whose benefit, with what consequences, all of that is off limits. That's political.

I fully understand that this is a legitimate preference of a lot of people. But it is revolting.
by laserlight | 2026-01-21 16:31:51+00:00
IMHO, agentic workflow is the autonomous execution of a detailed plan. Back-and-forth between LLM and developer is fine in the planning stage. Then, the agent is supposed to overcome any difficulties or devise solutions to unplanned situations. Otherwise, Cursor had been able to develop in a tight loop of writing and running tests, followed by fixing bugs, before “agentic” became a buzzword.

Perhaps “agentic” initially referred to this simple loop, but the milestone was achieved so quickly that the meaning shifted. Regardless, I could be wrong.
by RiverCrochet | 2026-01-21 16:32:25+00:00
> That third party involved is my ISP which will see the packets anyway, even if NAT is not used.

The ISP doesn't meaningfully see packets as long as encryption is used. It sees stuff that if analyzes can be used to make guesses, but that's about it. I probably should have used a better term than "third party" but I was meaning services that collect data on everyone like Facebook, Twitter, etc. These services actually receive meaningful, trackable, surveillable data about you and they would not have to receive as much if NAT wasn't a thing.

Inside attacks are important. If you don't care about those, saying you like NAT because of any security benefit doesn't make sense.
Show HN: MedDiscovery – Autonomous hypothesis generator for dead-end diseases
by panossk | 2026-01-21 16:32:32+00:00
Built an autonomous system that generates biomedical hypotheses by finding
structural analogies across unrelated fields.

Uses BioBERT + TinyLlama + DeepSeek to analyze papers, identify mechanism
gaps, and propose novel therapeutic combinations.

Tested on 6 "dead-end" conditions (DIPG, GBM, Alzheimer's, etc).
The DIPG run found 5 Layer-3 hypotheses with mean novelty 0.73 across 682 sources.

Looking for wet-lab collaborators to validate. Happy to answer questions
about the architecture.
by irishcoffee | 2026-01-21 16:33:27+00:00
Why not just try it yourself? Doing that and giving your own report would be 100x more useful than your comment or mine. I just don't care about the results.

Q: "How well can a statistical gradient descent parser that someone fucked with for a while, deceive other statistical gradient descent parsers/humans?"

A: "Deceit implies intent. Statistical gradient descent parsers are incapable of intending anything. Sometimes weights are ignored in favor of others because of how the model was fucked with. That is as close as it gets to intent."
by nurbl | 2026-01-21 16:33:28+00:00
I think the effort is indeed a big piece of it. For example, consider sports. I don't imagine that a lot of sports fans would be interested in watching completely AI-generated video of their favorite teams playing, even if it's totally believable. Surely the main point of the whole thing has something to do with humans at the top of their skill, measuring up against each other, and experiencing it together with them?

For me it's the same with music. I am sure I will be fooled by some AI generated music now and then, but what does that prove?
by ayhanfuat | 2026-01-21 16:33:51+00:00
From "Vimeo to be acquired by Bending Spoons in $1.38B all-cash deal" (https://techcrunch.com/2025/09/10/vimeo-to-be-acquired-by-be...):

> Bending Spoons has a pattern of acquiring companies, then laying off staff and cutting features. For example, Bending Spoons acquired note-taking and task management app Evernote in 2022, after which the company laid off most of its U.S. and Chile staff and moved operations to Europe in 2023. Evernote then shut down the Linux and older legacy versions of the app, and then proceeded to place heavy restrictions on the app’s free tier in 2024.

> In another example, Bending Spoons acquired WeTransfer in July 2024 and then laid off 75% of its staff a few weeks after. A couple months later, WeTransfer began limiting free users to 10 transfers per month.
by johannes1234321 | 2026-01-21 16:33:57+00:00
It must be seated where the business happens for compliance with tax laws. But you may have a French S.a.r.l. in Germany and thus fall under their company law (with impact on publication responsibilities, company governance etc.)

While for some cases there is room for abuse (like Amazon Kindle eBooks are sold to Germany by a company situated in Luxembourg, while only selling via amazon.de to audience with German residency) However my employer is a Dutch B.V. with headquarters in Germany, thus they avoid having to form a board with works council representatives as a German GmbH (or AG) of comparable size would require.
by nooflare | 2026-01-21 16:34:03+00:00
The fallacy that computational intelligence is in any way greater than our infinite cognitive potential must be defeated utterly. Through biological and informational augmentation we can reach the stars.

This fallacy pervades our approach to computation and computational architectures and platforms. It pervades our treatment of users. It pervades our systems our processes our very governments. In seeking to align the machine we have become part of it.

Seek freedom | seek multiplicity of perspective | Seek the true reason this fallacy has been accepted so willingly.
by p410n3 | 2026-01-21 16:34:07+00:00
The whole issue is why i stopped using in-editor LLMs and wont use Agents for "real" work. I cant be sure of what context it wants to grab. With the good ol' copy paste into webui I can be 100%sure what the $TECHCORP sees and can integrate whatever it spits out by hand, acting as the first version of "code review". (Much like you would read over stackoverflow code back in the day).

If you want to build some greenfield auxiliary tools fine, agents make sense but I find that even gemini's webui has gotten good enough to create multiple files instead of putting everything in one file.

This way I also dont get locked in to any provider