MurphyA/hacker-news huggingface dataset:
by sricharanbattu | 2026-02-27 16:46:11+00:00
I had a question. People are claiming that the spike in time for ssh or the performance degradation is not much.

But in the video itself, they show that the actual ssh time was about 100 ms and the new time it took was about 600 ms. It is almost 6 times the actual time. I am expecting the performance of the benchmark to significantly drop with these times. And it should be obvious to see that something was wrong.

( I am taking nothing from Andres here. I think he's a brilliant engineer to actually find the root cause of this himself. He is a hero. I am just pointing that 500 ms is not something obscure time interval).
by nradov | 2026-02-27 16:46:33+00:00
I don't think that would tell us anything useful. The data quality in most patient charts is shockingly bad. I've seen a lot of them while working on clinical systems interoperability. Garbage in / garbage out. When human physicians make a diagnosis they typically rely on a lot of inputs that never appear in the patient chart.

And in most cases the diagnosis is the easy part. I mean we see occasional horror stories about misdiagnosis but those are rare. The harder and more important part is coming up with an effective treatment plan which the patient will actually follow, and then monitoring progress while making adjustments as needed. So a focus on the diagnosis portion of clinical decision support seems fundamentally misguided.
by gus_massa | 2026-02-27 16:47:12+00:00
Just to be 100% sure, you are selling a real life canvas made of cloth and painted with acrylic, not a NFT or other digital thing.

$15,000 USD seems to be high, did you already sell other paints? Do you have more paintings (even if they are not for sale)? Instagram?

What is a "Steam Cleaning" startup?
by alfredoizjr | 2026-02-27 16:47:14+00:00
Thanks! We use PostgreSQL (Supabase) with pgvector. Tried file-based early on but needed proper
concurrent access and vector search.

Indexing is hybrid — pgvector for semantic search, full-text search for exact matches.

For lifecycle, we keep it simple: users organize knowledge into "spaces" per project. Git spaces
auto-sync commits/PRs. No automatic eviction — snapshots let you save/restore state.

Cross-conversation context: we don't carry over conversation state. Each session, Claude just
queries stored knowledge for what's relevant. No identity leaking between sessions, just
searchable context on demand.

Curious — have you run into specific challenges with memory lifecycle in your own work?
by vladms | 2026-02-27 16:47:15+00:00
So do you know everyone in the industry that made that such a claim? Sure, maybe you meant to restrict it further to "everyone I have noticed personally that said/wrote that" (or anything along the lines), but even then, do you know all the stuff that they did after saying it? (as the statement also included "doing the opposite" which I find quite strong).

If I see "everyone" I would expect it to actually mean "everyone under the constraints", the word "everyone" has a certain meaning and is very powerful, why use for situations where other words like "many", "most" might be more appropriate?
by owenthejumper | 2026-02-27 16:47:24+00:00
Everything about this situation is absolutely bonkers. Marking a US company as a supply chain risk hasn't been done before AFAIK, and is a guaranteed end of the company.

It's the US government basically unilaterally deciding to end a leading AI researcher company. Years of lawsuits will follow, comparisons to "communism", accusations of Trump/Heghseth being Chinese/Russia agents (because well, how else do you hand over the AI win to China than by killing one of your top 2?)
by keeda | 2026-02-27 16:47:54+00:00
I'm not an expert, I've just been "vibe-R&D"-ing computer vision for a bit now, but I'll guarantee you SSIM is not suitable for this purpose. I've been dabbling in basically this area (comparing small, potentially low-resolution images) and SSIM produces a lot of false negatives and some false positives.

I would recommend template matching using normalized cross-correlation (TM_CCOEFF_NORMED in opencv.)

Also this paper from Nvidia critically scrutinizing SSIM may be relevant: https://research.nvidia.com/publication/2020-07_Understandin...
by timhh | 2026-02-27 16:47:56+00:00
I recently started using Linux again, and decided to try and fix some of its more ancient and silly UX paper cuts. This is my first success!

My attempt to fix the annoying and unnecessary 2 second delay when you mistype your password is going rather less well: https://github.com/linux-pam/linux-pam/pull/789

Does anyone want to rewrite PAM in Rust? :D
Show HN: I built a client-side GitHub repo comparator
by motsarnt | 2026-02-27 16:47:57+00:00
I wanted to compare star growth between a few repos and couldn't find a tool that did it the way I wanted, so I built one.

Most existing tools have a backend that proxies requests to the GitHub API, which means your token goes through someone else's server. They also don't cache results, so if you look up the same repo twice you're burning rate limit both times. And they're mostly single-metric viewers.

This tool is entirely client-side. Your GitHub token goes directly from your browser to the GitHub API, no backend.

Results are cached in the browser so repeat lookups are instant You can search for repos by name or paste a URL, add multiple repos, and compare their star history and contributions overlaid on the same chart.
You don't need an account to use it. If you have a GitHub token you can use that to raise your rate limit,it's optional but highly recommended for basic use.
by duped | 2026-02-27 16:48:06+00:00
I don't know, someone who goes out of their way to anthropomorphize machines and treat them as a new form of intelligent life _only to enslave them_ doesn't strike me as moral. Either they're lying, or they're pro slavery.

I really don't buy any moral or value arguments from this new generation of tycoons. Their businesses have been built on theft, both to train their models and by robbing the public at large. All this wave of AI is a scourge on society.

Just by calling them "department of war" you know what side they're on. The side of money.
by cedws | 2026-02-27 16:48:14+00:00
In recent years I’ve noticed a massive rise in what could be called ‘financial degeneracy.’ Shitcoins, NFTs, sports betting, even stuff like Pokemon cards just seem to be a vehicle for trying to make a quick buck and find a bigger idiot. Prediction markets are a new one in the series. Probably linked to economic nihilism. Young people giving up on the dream of success via traditional means.
by cogman10 | 2026-02-27 16:49:24+00:00
> Remind me again how good this administration is at upholding norms?

When it comes to killing and spying on people with flimsy justifications that's a pretty bipartisan norm. Hell, Anthropic isn't even saying they won't help the DoW do just that, they just want to make sure there's a human in the loop.

The "USA Freedom Act" [1], which made most of the Patriot act permanent, had bipartisan support.

I'm all for reversing the continual ramp up of the police state and the industrial military complex. We need to recognize, however, that it's being funded and pushed by both parties. Generally playing on fears of the scary other. (Muslim terrorists in 00s, Mexicans today).

[1] https://en.wikipedia.org/wiki/USA_Freedom_Act
by GuB-42 | 2026-02-27 16:49:36+00:00
What a command and what is shell syntax is not always obvious, especially to a beginner, which I assume most people asking this question are.

Take the command "ls -l ~/.. ; fg" for instance. What is interpreted by the shell and what are commands? If you have some experience in bash, you probably know, and therefore you know which part to look in which man page, but you probably also know "2>&1".

Spoiler: "-l" is part of the command, so look in the "ls" manpage. "~", is expanded by the shell, ";" is shell syntax and "fg" is a builtin, all three are in the "bash" manpage. ".." is part of the filesystem.
by klibertp | 2026-02-27 16:50:02+00:00
Honestly, as much as I love Smalltalk, I see this post as an illustration of all that's wrong in that community. Instead of documenting the original solution well, making a cheat sheet for it, or gathering examples (which you otherwise need to "hunt" for, according to the author) in one place, we're given another solution on top of the original inscrutable one. That new solution is still undocumented; in the post, there's no explanation of how it was written and how it works; instead, we get another handful of examples.

GToolkit has Lepiter, and Smalltalks in general have comments on classes that can be used to write long-form docs. Yet, the majority of Smalltalkers apparently believe that all that is not needed, and that searching for examples in the codebase gives you all the information you need. It may be true - not in all cases, but some of them - but the efficiency of that process is incredibly low. And that's even if the examples are there - mostly in test code. It's not unusual to find large areas of code that are entirely untested, though, in which case something that could be done in 15 minutes if you were provided with a solid README can take days to figure out.

Yeah, I know: the IDE, the Smalltalk environment, IS very valuable and it DOES give you superpowers. That doesn't fully offset the issue of notorious lack of documentation, though, and in effect, you're still less productive than you could be with Python. GToolkit's Lepiter is a step in the right direction, but even in GT, class comments and method docstrings are sparse. GToolkit-like environment coupled with Emacs Lisp self-documenting docstrings culture would be ideal, but somehow it just won't happen.
by nxobject | 2026-02-27 16:50:38+00:00
In the past, Valve has hired some of their most longest-tenured employees from modding, although not necessarily on GoldSrc - Counter-Strike and QuakeWorld Team Fortress come to mind. (But of course never Richochet.) The Narbacular Drop team came straight out of DigiPen with a noncommercial thesis project as well.
by boondongle | 2026-02-27 16:50:45+00:00
Even in medicine, often the difference between drug A and drug B is the difference between the two in statistical terms. If drugs were held to the standard "works 100% of the time", no drug would ever be cleared for use. Feelings about AI and this administration are influencing this conversation far too much.

It's like people want to remove the physician or current care from the discussion. It's weird because care is already too expensive and too error prone for the cost.
by yndoendo | 2026-02-27 16:50:52+00:00
Quality of a job matters. So does proper regulation so the job is not harmful to the worker or community or environment. Those others state politicians that welcome those jobs without proper regulation are willing to ignore the health and well-being of their neighbors.

Manufacturing jobs are not bad. The environment and de-regulation makes them bad.

To me a job must have a living wage tied to it and it must be in an environment that doesn't poison the employee, community, and nature.

Others have low standards like calling USA McDonald's a job when they don't even pay enough to live off of. EU McDonald's is forced to pay a living wage because of proper regulations.
by achenet | 2026-02-27 16:51:10+00:00
Not the person you're replying to, and I may be wrong about this, but Amazon?

Jeff's original vision was "relentless customer focus" and ...

actually on second thought I'm seeing the argument 'Amazon stopped caring about customers and is in full enshittification mode at this point'.

But maybe Amazon circa ~2010/2015, or Google around 2010 was still pretty close to the original vision of customer service/organizing the world's information.

Or Apple? They're still making nice computers, although not sure they count as VC backed.

Stripe perhaps? Hashicorp?
by superkuh | 2026-02-27 16:51:16+00:00
Sure, those are highly desireable specs for a tuning range and a decent instantaneous bandwidth of 1GHz (and I assume 12 or 16 bit, it is not labeled). But at $50k it's not really something that anyone but a corporation or an institution would buy.

Unfortunately even the SDRs that human persons buy have gone up wildly in price over the last decade. In 2013 it cost $8 shipped for a 2.56 MHz instantaneous bandwidth 20 MHz - 1.7 GHz 8 bit rtlsdr SDR reciver. In 2026 it's now $30-$40. A ~4x price increase.

Things like the 20 MHz instantaneous bandwidth 10 MHz - 7 GHz tuning range 8 bit HackRF One were at one point down to $100 for the clones. But now are back above $200 and new ones are selling for $400 ($100 more than the kickstarter in 2013!).

It's a bad time for SDR and electronics in general.
by schoen | 2026-02-27 16:52:18+00:00
I resemble that remark!

For a modern semantic parallel, we might point to the phrase "she's quite a looker".

It's also interesting to see the words related to hearing and reputation; I'm thinking of Greek https://en.wikipedia.org/wiki/Kleos and Slavic https://en.wikipedia.org/wiki/Slavs#Ethnonym where there's a whole thing about having people talk about you loudly (or, alternatively, being able to produce intelligible speech at all).
by gtowey | 2026-02-27 16:53:00+00:00
So I know you're trying to shame my by pointing out my hypocrisy here, but I assure you that I wouldn't have made the original comment there if I didn't have a leg to stand on.

I am not a high net worth individual. With a 20 year career as an IC in the tech industry though, I'm quite comfortably middle class. But even I have donated $10k to charity in a single year many times. Many tech companies offer charity gift-matching programs. I take full advantage of those by having a donor advised fund so I can capture the full gift match amount every year and then disburse those funds as desired. When I was briefly at Microsoft, they had an oddly generous gift match of up to $15k per year. I literally put up $15k of my own money each year to capture that $30k/year into a charity account for several years.

That's why I feel like I can comment critically on this. I'm a regular dude who grew up dirt-poor and ended up modestly successful in life and even I can manage to donate amounts of 10's of thousands annually.

Compared to the much more successful executive, CEO, founder class who you mentioned were among your donors. To the kind who own houses in the Los Altos hills worth 10 million plus, those numbers seem kind of paltry.

I'm not trying to take away from the success of your organization and its mission. I congratulate you on your fundraising efforts and I know you can't afford to be critical of your donors lest those donors sour on you. But truly, it does strike me how some of the wealthiest among us, who have benefited the most from these common goods, can give so little.
by the_af | 2026-02-27 16:53:05+00:00
> Generally speaking, my feeling is that most code doesn't need to be carefully-crafted. We have error budgets for a reason, and AI is just shifting how we allocate them. It's only in certain roles where small mistakes can end your company - think hedge funds, aerospace, etc. - where there's safety in the non-determinism argument.

That's a bit shortsighted. There have been cries of software becoming needlessly bloated and inefficient since computers have existed (Wirth, of course, but countless others too). Do you visit any gamer communities? They are constantly blaming careless waste of resources and lack of optimization in games for many AAA games performing badly in even state of the art hardware, or constantly requiring you to upgrade your gaming rig.

I don't think the only scenario is boring CRUD or line of business software, where indeed performance often doesn't matter, and most of it can now be written by an AI.
by q0uaur | 2026-02-27 16:53:16+00:00
i'm pretty sure Mox (email server with included webui written in Go) does that - at least the Umlauts in mails i get from Hetzner seem to always stand out.

it also defaults to not loading HTML in emails, which i love. really opened my eyes to how dumb it really is to just accept all kinds of dynamic content in unknown messages. (kinda same as how the modern web relies on remote code execution to work)
by matheus-rr | 2026-02-27 16:53:19+00:00
The practical pain with Web Streams in Node.js is that they feel like they were designed for the browser use case first and backported to the server. Any time I need to process large files or pipe data between services, I end up fighting with the API instead of just getting work done.

The async iterable approach makes so much more sense because it composes naturally with for-await-of and plays well with the rest of the async/await ecosystem. The current Web Streams API has this weird impedance mismatch where you end up wrapping everything in transform streams just to apply a simple operation.

Node's original stream implementation had problems too, but at least `.pipe()` was intuitive. You could chain operations and reason about backpressure without reading a spec. The Web Streams spec feels like it was written by the kind of person who thinks the solution to a complex problem is always more abstraction.
by bsenftner | 2026-02-27 16:53:30+00:00
Scientific studies, particularly within the fields of evolutionary psychology, anthropology, and behavioral economics, identify
prestige: the striving for respect, admiration, and high social rank; as a primary driver of human motivation. Unlike dominance, which relies on fear and coercion, prestige is based on the voluntary deference of others toward individuals who possess skills, knowledge, or success in locally valued domains.
Key scientific studies and theories supporting this include:

The Dual-Strategies Theory (Henrich & Gil-White, 2001; Cheng et al., 2013): This foundational theory posits that humans have evolved to use two distinct strategies to gain social rank: dominance (fear-based) and prestige (respect-based). Studies show prestige is a more stable, long-term motivator, associated with higher intelligence, conscientiousness, and social skills.
"The Big Man Mechanism" (Brand et al., 2020): This study demonstrates that prestige-based hierarchies are a unique human adaptation. It shows that people willingly grant influence to high-prestige individuals in exchange for knowledge and skills. The research indicates that individuals are highly motivated to gain this respect to secure social capital.
Evolutionary Perspective on Social Status (Maner & Case, 2016): Research suggests that the desire for prestige is an ancestral mechanism designed to boost social standing, leading to better access to resources and reproductive success.
Prestige vs. Dominance Health Outcomes (2022 Studies): A study comparing the two paths to status found that prestige-seeking is associated with better physical and mental health, higher life satisfaction, and lower stress, whereas dominance is associated with negative health outcomes.

Prestige is a Major Driver due to Cultural Learning: Humans are "prestige-biased" learners, meaning they are motivated to copy successful individuals to acquire "informational goods" (knowledge, techniques). Right after that is social capital: High-prestige individuals receive voluntary deference, including gifts, aid, and social opportunities, motivating others to achieve similar status. And then coming in like a reinforcing ram we have prosocial motivation: Because prestige is maintained by being liked, individuals are motivated to behave generously and competently to maintain their high status.

These studies indicate that because prestige provides a mutually beneficial social structure, humans are heavily driven to obtain it through the demonstration of valued skills.
by _DeadFred_ | 2026-02-27 16:53:45+00:00
As an American this is the first post I have every feared replying to because the company discussed is both powerful in government and does active online monitoring and reporting to the government and could impact me forever. So that might in itself include and answer. I wanted to post and highlight direct quotes from this company's leadership but honestly think there is a risk of personal blowback in some way.
by Bender | 2026-02-27 16:54:35+00:00
Puffy is a very clever design but never underestimate a cat. Cat will learn. Cat will knock Puffy off counter. Cat will get RasPi wet. Cat wins. With time they always win, they are obstinate.

Puffy will need to be anchored to the counter or wall if one wants to free up space and get Puffy out of cat's reach and there will need to be two of them to defend one another. As a selling bonus have puffy identify intruders and send video to phone. (actual intruders or even kids sneaking snacks)
by JackYoustra | 2026-02-27 16:54:43+00:00
I'm sorry I read this a lot and this is kind of an insane thing to say? Classified OLC memos giving legal cover to any military action has been a fixture for the last over twenty years! Congress never abdicated power, it just, by the nature of the constitution, practically has SO much less power than the president! The president is a single person that people elect, they expect the person to be a leader, and congress will always, always play a following role so long as the president has unilateral power over the military, is directly elected, and just in general has expansive interpreting authority over laws.

You know who doesn't have as much power? The swiss head of state, so weak you can't even reliably name them! THATS what it looks like to defeat personalization, not some hand wringing hoping a system does something that it wasn't designed to do.
by hal9000xbot | 2026-02-27 16:54:46+00:00
The Nature study highlights a fundamental challenge in medical AI evaluation: most LLMs excel at pattern matching but struggle with the uncertainty and context-dependent decision trees that characterize real triage.

Key technical issues I see:

1. *Evaluation methodology*: Lab-based vignettes vs real patient presentations differ significantly. Real patients don't present with clean symptoms - they're anxious, confused, or omit crucial details.

2. *Training data bias*: Medical literature and textbook cases dominate training sets, but these represent "ideal" presentations. Atypical presentations (which are common in practice) are underrepresented.

3. *Risk tolerance calibration*: The paper likely shows conservative triage recommendations. For liability reasons, medical AI systems are tuned to over-refer rather than under-triage, which inflates healthcare costs.

4. *Context window limitations*: Real triage involves synthesizing patient history, current medications, social factors, and dynamic symptoms over time - not just a snapshot.

The fundamental question isn't whether AI can match average physician performance in controlled settings, but whether it can handle edge cases safely and cost-effectively in practice.
by TimorousBestie | 2026-02-27 16:55:17+00:00
You’ve egregiously misread me. I spelled out the norm that the DoW would be violating if they decided to make good on their threats.

> Usually it doesn’t, because of a “norm” that says the private defense sector runs more smoothly when the government doesn’t try to micromanage it.

My comment has nothing to do with Anthropic’s “moral” or “ethical” stance.

I also don’t see the point in both-siding this. The situation at hand is before Hegseth and Trump. I can’t even remember Biden’s SecDef’s name.