skysight-inc/HackerNews huggingface dataset:
Actually in hunter-gatherer societies inter-tribal violence is extremely rare, with intra-tribal violence being way more common. One has to remember that in hunter gatherer societies concepts like territory and property are not as important as in settled societies, and population densities are incredibly low. It's a very rare occasion when you interact with anyone outside your immediate community, and when you do it's almost certainly an interaction with a neighboring community that you've been collectively living near and interbreeding with for longer than anyone can remember. Violence in these societies tends to be part of personal feuds between individuals.

Encountering someone from far enough away that they would be part of a distinct genetic or cultural group was basically unheard of. That's not to say it didn't happen at all, there would be migrations and smaller groups would potentially travel long distances out of necessity, but it simply was not a part of normal life. The idea that a fear of different looking people provided any meaningful benefit in the past simply does not pass the sniff test.
They would
> He won the popular vote. Afaics majority of America prefer to be ruled by the rich.

49.8% is not a majority. Did you forget that there were more than two candidates?
Just realized that architects had to actually draw their designs before computers. This is obviously true, but I haven't had to think about this until now.
Has anyone here had bird flu yet and was it confirmed / tested to be bird flu? What was it like? Asking because every migratory bird in the western rockies stops at my place and I have an outdoor mouser cat.
Tangential, but related (and kinda bizarre):

"Netanyahu gifts Trump a golden pager during US visit"

https://news.ycombinator.com/item?id=42967837
This is very intereresing!
Oops, yup, thanks, sorry title updated.
I can't even use the ESL defense after 25 years.
Oh wow, totally forgot. Just added MIT.
I can soft boil eggs for ramen in about 4-6 minutes of time but it requires using ice water to immediately cool the eggs down so they do not continue to cook after removing the eggs from the boiling water.
Global ransomware payments plunge by a third amid crackdown
I'm begrudgingly fine with that. Let me do something before the deal alters, please.
Navy Develops Highly Persistent Undersea Hydrophone System
Those little things would definitely not carry a weeks worth of groceries. They barely look like they carry more than I could by hand

Never seen a grocery store with a lock stand for these things either
We don't need testing. We're "agile". Or something like that.
Yeah it'd be awful if someone slipped some ice nine into the stew
Nice explainer. The R1 paper is a relatively easy read. Very approachable, almost conversational.

I say this because I am constantly annoyed by poor, opaque writing in other instances. In this case, DS doesn’t need to try to sound smart. The results speak for themselves.

I recommend anyone who is interested in the topic to read the R1 paper, their V3 paper, and DeepSeekMath paper. They’re all worth it.
> In other words: As a Turing-computable function over the current state.

You need to be a bit more expansive. Turing-computable functions need to halt and return eventually. (And they need to be proven to halt.)

> We know of no mechanism that could allow humans to exceed the Turing computability that AI models are limited to.

Depends on which AI models you are talking about? When generating content, humans have access to vastly more computational resources than current AI models. To give a really silly example: as a human I can swirl some water around in a bucket and be inspired by the sight. A current AI model does not have the computational resources to simulate the bucket of water (nor does it have a robotic arm and a camera to interact with the real thing instead.)
anyone saying an LLM is a stochastic parrot doesn't understand them... they are just parroting what they heard.
In some ways yes! I frequently update design docs to include what I learned.
"There are no LLMS that reason" is a claim about language, namely that the word 'reason' can only ever be applied to humans.
Many moons ago as a young developer at Microsoft I was asked what I thought of a nice big poster advertising our team's offering, to be displayed around campus. The picture had a large background circle that was made out of various small words and symbols, looking really neat if you were up close to it, very stylish. From the distance and to me with my poor eyesight and my prescription that wasn't up to date, it looked like a gray ring left on the paper with a giant leaking coffee mug. I wasn't as polite as I'd be today and so I pretty much said "hey this looks like a coffee spill". The designer was a bit upset but they did fix it...
Don't use GoDaddy? (I'm a hypocrite, I have a couple dozen domains but there are a couple I haven't yet transferred out of their system).
The math underpinning an AI model exists independent of the hardware it's realized on. I can train a model on one GPU and someone else can replicate my results with a different GPU running different drivers, down to small numerical differences that should hopefully not have major effects.

Data isn't fungible in the same way: I can't just replace one dataset with another for research where the data generation and curation is the primary novel contribution and expect to replicate the results.

There's also a larger accountability picture: just like scientific papers that don't publish data are inherently harder to check for statistical errors or outright fraud, there's a lot of uncomfortable trust required for open-weight closed-data models. How much contamination is there for the major AI benchmarks? How much copyrighted data was used? How can we be sure that the training process was conducted as the authors say, whether from malfeasance or simple mistakes?
You replaced my word "abusers" with "Jew". Abusers should be kicked to the curb. Jews were not ever merely kicked to the curb during WW2, they were mass murdered.

Your attempt to be treated as some sort of victim is denied.
> If you would listen to most of the people critical of LLMs saying they're a "stochastic parrot" - it should be impossible for them to do better than random on any out of distribution problem. Even just changing one number to create a novel math problem should totally stump them and result in entirely random outputs, but it does not.

You don't seem to understand how they work, they recurse their solution meaning if they have remembered components it parrots back sub solutions. Its a bit like a natural language computer, that way you can get them to do math etc, although the instruction set isn't of a turing language.

They can't recurse sub sub parts they haven't seen, but problems that has similar sub parts can of course be solved, anyone understands that.
What if you ever want to leave the city limits? You're trapped and you're pretending that you're not.
https://archive.ph/KwTzR
> All fetuses are female for the first 6 or 7 weeks, regardless of their chromosomes. Trump just accidentally banned men.

This is false. We all begin in an undifferentiated state before our genes differentiate us down a female or male pathway.

Female development is not equivalent to the undifferentiated stage we all start with as fetuses.

https://www.ncbi.nlm.nih.gov/books/NBK279001/
Wait what lol

If you’re dead set on spending your discretionary time working and coding then dating will be impossible. I don’t think the opportunity to co-work together with others is the solution but I’m willing to be proven wrong. If this sounded snarky I don’t mean it to be, the programmer hobbyist is becoming rarer and rarer these days. Cheers
Then (hard to disable) push notifications ruined that trust.
There is definitely a mini cult of people that want to be very right about how everyone else is very wrong about AI.
i mean... it's IBM so what did we really expect?
> I feel like the biggest misstep that the Scala ecosystem and Typesafe/Lightbend did was that they didn't invest more in Play Framework. 10 or 12 years ago, Play had a lot of energy and momentum, and it's a kind of thing that has broad enterprise/start up appeal. But focus was always more on Akka and what seemed like really niche architecture astronaut stuff like Actors and Actor System Clusters and Event Sourcing etc, rather than getting the basics to be super ergonomic or productive.

I'd say the opposite. They pushed Play a lot. But it was never a killer app, and it never even really leveraged the strengths of Scala.

People and especially companies don't switch languages for "super ergonomic and productive". They switch because they want to do something they can't do in their current language. I'm not a fan of Akka or Actors, but it made for some incredible demos that you really couldn't do in anything else except Erlang.
> The compatibility of determinism and freedom of will is still controversially debated. There is a good chance that Humans don’t „create“.

Determinism and free will are pretty irrelevant here.

Unless P=NP, there's no way for us to distinguish in general between eg pseudo random systems and truly random systems from the outside.

Btw, I don't think determinism in humans/AI has anything to do with deliberation.

The newest AI models are allowed to deliberate. At least by some meanings of the word.

> This is justified by the fact that our concept of freedom means a decision that is self-determined by reasons and not a sequence of events determined by chance.

Well, different people have different definitions here. None of them very satisfying.
Wild West Domains is a subsidiary of GoDaddy. They are basically he same company, and the Whois doesn't usually show the owner of the domain anymore, it shows the company that's keeping the owner's information private. WWD and GoDaddy both offer this service. Lookup other domains, you'll see the same thing all over the place. The whois on just about all of my domains say Wild West Domains, the others are GoDaddy or Namecheap, my personal information never comes up anymore because I opt for the privacy options.
https://youtu.be/iJhw-nUvjhk
3DES .. no other explanation than this was an intentional choice to allow the traffic to be inspected/harvested by big red
this new world of vice signalling is much worse than I thought it would be, jfc.
No, at least unlikely imo, this is written as a stereotype of how Russians (and people who's first language was related to Russian) often speak in English at first because of the grammar differences between the two languages.
We have been in the 'magic scaling' era for a while now. While the basic architecture of language models is reasonably simple and well understood, the emergent effects of making models bigger are largely magic even to the researchers, only to be studied emperically after the fact.
The study seems to indicate that BEVs surpassed diesels categorically as of 2014.
ie, the people that AI is dumb? Or you are saying I'm in a cult for being pro it - I'm definitely part of that cult - the "we already have agi and you have to contort yourself into a pretzel to believe otherwise" cult. Not sure if there is a leader though.
Will LLMs kill software patents?
Our legal team at BigComp recently briefed us on an interesting point: if you use tools like Copilot or other LLM-based code generators in your codebase, it could make it significantly harder to acquire a software patent. At first, this seemed a bit abstract, but thinking about it, it makes sense.

The logic is that code generated by LLMs is derived from a broad corpus of existing public code, making it tricky to claim novelty—one of the key requirements for a patent. Plus, tracing the origin of generated code becomes a legal gray area.

Now that AI tools are quickly embedding themselves across the entire software development lifecycle—from design and prototyping to actual coding and testing—does this mean we’re looking at the gradual extinction of software patents? If AI-generated code can’t be patented, does that push the industry toward a future where patents play a much smaller role in software IP?

Curious if others have heard similar things or have thoughts on how this might reshape software IP law.
Pocketmod: The Free Recyclable Personal Organizer
I think something like structured generation might work in this context
There is some benefit to Makefile processing speed, if that's a metric that affects your build.

With one or two $(shell) calls, it won't matter at all. If you start to approach dozens or hundreds of calls, the extra overhead of all those shells can to be noticeable. Especially if your Makefile is automatically triggered on file changes or something.
Blue team is hesitant to use its power in a lot of ways, and due to insisting on consensus most of the time they are handicapped. Red team actually seems to know what power is and how to use it--unfortunately for us, they lack discrimination and strategic planning in its application.

Blue team also required a bunch of thought-killing exercises and public signalling of things that are clearly inefficient and intellectually bankrupt and dishonest--this drove away a lot of smart people that actually wanted to get shit done, and made it easy for red team to point over and say "see, they're lying/delusional/woke?" as covering fire when red team pushed for their own odious agendas.

Blue team also not only failed to address issues but deliberately lied about them: the immigration crisis was pilloried when Trump wanted to build a wall, but once Biden took power a few weeks later suddenly _then_ the immigration crisis was a real policy concern. When people were complaining about the cost of food and goods, that was silly--but now that Trump's in power, suddenly we are told to care again. The attempted manufacturing of consent by the media on the left (and to be clear, red team does the same thing) is now too obvious not to be used against them.

Given all of this:

* Things aren't as bad as they're being made out to be, though they are serious.

* There is an entire industry relying on your fear and anxiety to exist, so practice good information hygiene.

* Maybe look beyond the obvious labels (woke, Nazi, marxist, fascist) to understand what's actually going on--don't be intellectually lazy.

* Revisit the things you think you know and why they're Good or not--and consider what others would think of them (for example, we can't both talk about how it's only a matter of years that "white" will be a minority in the US and that that's a good thing _and also_ claim that reactionary concerns about replacement are wholly unfounded).

Good luck to you.
Mesos Lost The Orchestration War To K8s (2021)
Discussion (57 points, 2 days ago, 29 comments) https://news.ycombinator.com/item?id=42940371
Is it fully functional?
In the context of general employment, "do nothing", is legal. "Wait" is legal.

Orchestrating a grand plan to waste government money by requesting multiple staff to stop working might be a grey area that the courts will decide on. But no employee would be expected to take it to court to test its validity instead of following a lawful direction.
How to Create Wavy Boxes Using CSS
DARPA selects two utility-scale quantum computing approaches for evaluation
Are you planning to do a Futamura projection?
BRB going to create XTokTok so I can flip through TikTok for X clones.
A simple app to make weather easy
> You don't seem to understand how they work

I don't think anyone understands how they work- these type of explanations aren't very complete or accurate. Such explanations/models allow one to reason out what types of things they should be capable of vs incapable of in principle regardless of scale or algorithm tweaks, and those predictions and arguments never match reality and require constant goal post shifting as the models are scaled up.

We understand how we brought them about via setting up an optimization problem in a specific way, that isn't the same at all as knowing how they work.

I tend to think in the totally abstract philosophical sense, independent of the type of model, at the limit of an increasingly capable function approximator trained on an increasingly large and diverse set of real world cause/effect time series data, you eventually develop and increasingly accurate and general predictive model of reality organically within the model. Some model types do have fundamental limits in their ability to scale like this, but we haven't yet found one with these models.

It is more appropriate to objectively test what they can and cannot do, and avoid trying to infer what we expect from how we think they work.
I have been following Go for a while and didn't know that either.
Holy crap this is going to let me move some privacy-focused folks over to join me in Kagitopia. Good job guys, you are always working on something cool.
Rent a car from outlying rental places? That negates the need for central urban high rise dwellers to own cars.

Car owners could (say) use outlying parking towers.

To travel there are buses, trains, aircraft, boats, etc.

Not owning a car is common in many parts of the world.
> it never worked.

That's not strictly true. I used it a long while ago on a vanity domain just to see if it would work. It did. They snagged the domain for me.
I'd look at the paper and see who they cite for those numbers and theory.
What if instead of buttons reacting like glass or hard plastic, they reacted like they were full of gel or air depending on where your pointer was? I'm thinking kind of like a fidget-toy UI.
Funny to think this is actually kind of similar to how ByteDance got their start. One of their first apps is called "Today's headlines", which is basically the TikTok format, but instead of short videos you are scrolling news article.
If GoDaddy is involved it is invariably a scam
But in this case, the bid was rejected. If GoDaddy wanted $75, why wouldn't they just suggest $75 and accept the bid, instead of suggesting $50 and rejecting it? Seems less efficient to play this game. Maybe I'm missing something.

And, even if they accepted the bid, I don't see the issue of not disclosing who owns it. Anyone who is selling something is 'suggesting' (setting) a price, so it wouldn't really matter if they disclosed they owned it or not because they are free to set the price. Why would you care if they owned it or not?

Do I understand this correctly? Maybe someone has a bridge they want to sell me
DeepSeek iOS app sends data unencrypted to ByteDance-controlled servers
Also, "...the app uses a symmetric encryption scheme known as 3DES or triple DES."

And

Another concern is that the symmetric keys, which are identical for every iOS user, are hardcoded into the app and stored on the device.

The app is “not equipped or willing to provide basic security protections of your data and identity,” NowSecure co-founder Andrew Hoog told Ars. “There are fundamental security practices that are not being observed, either intentionally or unintentionally. In the end, it puts your and your company’s data and identity at risk.”

Hoog added that the DeepSeek app for Android is even less secure than its iOS counterpart and should also be removed.
It did, which makes it all the more frustrating that you can't adopt it separately from the syntax and tooling changes.
You take a bus or a train or a subway or a plane or a bike or you rent a car or you roadtrip with your friends
I've been creating a conlang, it's a rewarding activity even if it's never "used" for anything. I majored in linguistics but there are things about language I've learned from doing this that I never really understood in school. Like reading about math vs actually doing problems.
I believe the answer is "economies of scale"
I didn't realize my post can be interpreted either way. I'll leave it ambiguous, hah. Place your bets I guess.
Wow, I didn't know that.. It's really ironic
Surely, it simply accuses everyone (including old and well-known contributors) of being a Russian bot and, as an explanation for this wild accusation, merely states that he is a Finn and knows history?
Early Meta employee sues for sexual harassment, gender discrimination
Sharing ideas early is not a bad thing and very much encouraged by YC, we are gauging interest in collaboration on the topic. Our company has open sourced almost our entire compute use stack already https://github.com/agentsea
I used to add cream of mushroom (found in cans) to the soup, because I really needed the calories. It really thickened the soup and did pretty well. You can also just add corn flour (pre-mixed in a water before) and it thickens up the soup easily.

If I consume 1/3 of a well mixed soup every day and top it up to full, then in a week, only about (1/3)^7 = 0.05% of the first day stuff remains. You don't really have to worry about the longevity of the ingredients.
I had to deal with FIPS compliance while at MS for FedRAMP compliance. It's not a technical problem, but a compliance problem

If you don't need FIPS for compliance you're better off investing in much more useful things for security (more effective linting, test coverage, keeping dependencies up to date, etc)
That has potential..
Not a scam, just related businesses. There aren't too many scams in the domain business (I'm sure somebody will point out a few in the comments. Schroedinger's law, I think it is?) because it's governed by ICANN and fishy business will lose a registrar their accreditation.
I mean there are certainly vulnerabilities that are substantially asymmetric.
USGS Using a Helicopter Hula Hoop to See What's Buried Under Southeast Wyoming
Yup. And some people are religious. The world is a crazy, unpredictable place.
GoDaddy was always scam, I bought a domain like 15 years ago and they had same mindset back then.

Just look at the names; “Go Daddy” and “Wild West”.. It’s alarming already.
That's just racism. You can't use the "South Park humor" defense when you're standing on a soapbox yelling it in public.
Because gauging interest early and finding other people interested in building is a good idea and frankly very inline with YC thinking. We have already open sourced an enormous amount of code and datasets for computer use https://github.com/agentsea
> There are some startups building capabilities apis to limit that but most websites/apps either don’t have the resources or aren’t willing to expose those capabilities.

Care to elaborate with example(s) of a startups doing this?
The real reason to use those languages is because they often lend themselves to using the meta-language for other purposes, like writing flexible open ended test suites, or using some forms of code generation/metaprogramming to generate parts of the design from other things. That's very useful and one of the attractive properties of systems like Amaranth or Clash, and one of the downsides (IMO) of approaches like Filament or Bluespec. That said, the most important bits about Filament and Bluespec are their high-level concepts (like guarded actions and timeline types), which could be adopted into other RTLs as well.

At the end of the day though, sometimes you just have to debug a netlist, and that probably will remain true of Filament too. (Any language with higher-order applicative concepts will eventually run into some issues with wire names, etc, that's just unavoidable.) I think the SystemVerilog or whatever is just a red herring at that point; the tools for doing netlist debugging all feel like the equivalent of having to debug compiler assembly output with no debug symbols. Making sure you need to reach for the debugger much less is a good first step, but I'm not sure how to improve this part.
Not the thread, not the user page. Nowhere. Just gone.

I do also have the case where it disappears but a refresh / going to the user page will show it, i.e. something async on their end was just a few milliseconds too slow or something.

And posting the exact same comment again (I c+p them now) works. So it wouldn't be any automatic removals and it's too fast for manual removals.