skysight-inc/HackerNews huggingface dataset:
This is not really my experience with western models. I am not from the US though, so maybe what you consider a balanced perspective or reasoning about both sides is not the same as what I would call one. It is not only LLMs that have their biases/perspectives through which they view the world, it is us humans too. The main difference imo is not between western and chinese models but between closed and, in whichever sense, open models. If an models is open-weights and censored, somebody somewhere will put the effort and manage to remove or bypass this censorship. If a model is closed, there is not much one can do.
I have some anonymous accounts, and use AI to avoid being identified.
Just from a personal layman's perspective: I find being able to reason about chess moves a fair way to measure a specific type of reasoning. The fact that LLMs aren't good at this show to me that they're doing something else which to me is equally disappointing as it is _interesting_.
Yeah, Whisky is probably the better path.
Learned and also refreshed my HTML programming language (I'll not debate on it) knowledge without any touch of CSS.
Although it's not specified in common dictionary definitions...

"...zoonosis (a disease communicable from animals to man under natural conditions)."
—Laurie Garrett, _The Coming Plague_ (Ch 14, section IV)

Which is naturally how the word is used virtually all the time.

Transmission from lab animals kept for study in a biolab, you could argue either way. Transmission from humanized lab animals purposely subjected to serial passage is not really zoonosis in any reasonable sense.
When asking about Taiwan and Russia I get pretty scripted responses. Deepseek even starts talking as "we". I'm fairly sure these responses are part of the model so they must have some way to prime the learning process with certain "facts".
I’m curious… why do you think New Zealand might be less affected by an AGI disaster?

For that matter, what is an AGI disaster, in your view? On a scale of “China stole my job” through “why are there so many hurricanes and forest fires these days?” to Skynet?

Personally, I’m trying to max out my pension contributions and hoping for left-wing governments being in power when the time comes (because right-wing and centrist governments will roll over and give AGI powered big business what they want when the time comes).
Employee salary is definitely cost. Founder/owner salary is more complicated.
Cover-ups are a cultural thing in East Asia because reputation is paramount. They'll attempt to cover up anything that makes them look bad as means to protect their reputation. So the second part of your statement is not necessarily true.
Paxo: A DIY Phone
>objectively a huge difference in political plurality in US training material

Under that condition, then objectively US training material would be inferior to PRC training material since it is (was) much easier to scrape US web than PRC web (due to various proprietary portal setups). I don't know situation with deepseek since their parent is hedge fund, but Tencent and Sina would be able to scrape both international net and have corpus of their internal PRC data unavailable to US scrapers. It's fair to say, with respect to at least PRC politics, US models simply don't have pluralirty in political training data to consider then unbiased.
I didn't say it was. Browsers display an alert when full-screen mode is activated. Full-screen mode isn't a security feature, but the browser does something the website developer can't control so that users can conclude that something fishy isn't going on. I think the ability for one website to hide that they've redirected to another is a vulnerability.
My goto is ask LLM to explain this poem (this is but on variation) ...

Spring has sprung, the grass iz riz,
I wonder where da boidies iz?
Da boid iz on da wing! Ain’t that absoid?
I always hoid da wing...wuz on da boid!

chatgpt up to o1 failed, o1 did very well. deepseek-r1 7b did ok too.
The peer reviewed literature is written and reviewed by the people who were funding/doing that kind of GoF research, so it isn't a reliable way to decide what's true.
>However YC gets preferential shares;

It's not that YC specifically gets "preferred shares" -- it's that investors in general insist on liquidation preferences when buying non-liquid shares in unproven private companies.

How would an alternative scenario of investors buying common shares of illiquid stock in a private company actually be realistic? Maybe the startup founders could hypothetically insist on selling only common shares and never preferred shares as a condition of investment?!? But what investors (other than family relatives) would put in money in that case?

Or put another way, let's say we create a brand new VC fund to invest in startups and one of the novel concepts is that the fund only buys common shares to be more "founder friendly". The problem is that hypothetical VC fund will attract no rational limited partners with money because they know that startup founders can just take their invested dollars with no payback protection. Such a VC fund with no investors and no money to invest would be a moot point. The general partner of such a VC fund would be considered a "financial idiot" for buying common shares in startups.

In the end, the "preferred shares" is the market's "risk premium" that investors charge as an offsetting factor for losing 100% of their money. If startup founders can't find a way to convince investors to accept illiquid common stock instead of preferred shares, they need to avoid investors altogether and self-fund via bootstrapping.
> people that think biology is real

Do they? Until very recently half still rejected the theory of evolution.

https://news.umich.edu/study-evolution-now-accepted-by-major...

Right after that, they began banning books.

https://en.wikipedia.org/wiki/Book_banning_in_the_United_Sta...
Show HN: I developed a nostalgic Pokemon web game – Pokemon Journey Together
Hi everyone!

I'm excited to share a web-based Pokémon journey game I've developed. It's a turn-based game that reminds me of the ones I played in my childhood. The gameplay is straightforward, featuring battle images and combat logs.

This little project fulfills one of my childhood dreams from watching Pokémon anime: collecting various Pokémon through battles. As someone who grew up watching the series, it's particularly meaningful to me.

This is my first attempt at developing a web game, and I would really appreciate your support and feedback! The game may be simple, but it's made with passion and nostalgia.
Show HN: Practice a second language by solving image-based puzzles
Your guessing of my sources are wrong, thus your message is a strawman fallacy from beginning to end.

There are studies pre SARS-CoV-2 about coronavirus in natural environments (like bat caves), and they found motifs that we found also in SARS-CoV-2. Zoonotic infections are very common and specially for coronavirus, so it should be our first guess unless overwhelming evidence shows that the virus was originated in a lab (leaked or engineered).

Maybe it was a lab leak, but there is not stronger evidence for that, than for the zoonotic event.

Here is your bad science:

- H0: The origin is the lab.

- H1: The origin is a naturally ocurring zoonosis.

As evidence for H1 cannot convince you, you accept H0 without any proof. Great science! Problem is your H0 is wrong. H0 should be the most easy explanation, which is a zoonosis that has happened before thousands of times, and for which we have also evidence (you call it circumstancial, as this was a trial) like similar sequences found in bats nearby. You must get better evidence to prove the unusual lab leak hypothesis. Your H0 and H1 are reversed.
What I like about iceberg is that the partitions of the tables are not tightly coupled to the subfolder structure of the storage layer (at least logically, at the end of the day the partitions are still subfolders with files), but at least the metadata is not tied to that, so you can change the partition of the tables going forward and still query a mix of old and new partitions time ranges.

In the other hand, since one of the use cases they created it at Netflix was to consume directly from real time systems, the management of the file creation when updates to the data is less trivial (the CoW vs MoR problem and how to compact small files) which becomes important on multi-petabytes tables with lots of users and frequent updates. This is something I assume not a lot companies put a lot of attention to (heck, not even at Netflix) and have big performance and cost implications.
Unfortunately in 2025 you can probably add software engineering to the list of degrees to avoid.
I’m not sure. Imagine you want to answer the research question of how people come to adopt certain beliefs. You can probably answer that robustly by monitoring absolutely all their cultural inputs - including throughout childhood where these inputs likely have high impact, but where consent for such an experiment is likely impossible. Every book they read, every website they visit, every person they listen to. I think if you constrain this experiment to a more reasonable level of information gathering, you’ll miss important details.
RemNote looks really cool, and it seems like they are exploring similar problems to the one's I'm trying to solve. It will definitely be a valuable source of inspiration. Thanks for putting this on my radar!
> Most of those kinds of apps are way faster now than they were in the 90s

I strongly disagree.
I'm writing a book on computer graphics, I would love to have a list of in depth topics people are interested in :) let me know if you have some requirements
Yeah, most of the time you just need to ask ahead of time and people will accommodate.
>Lot's of coal mining

Coal mining used to employee over a million people[1] at the start of the last century. It's effectively zero now.

[1] https://www.statista.com/statistics/371069/employment-in-coa...
Cheap + quick commute to downtown takes care of that.
I transmit a lot over websockets. Large messages and large amounts of data. I don't think it makes sense to move bigger messages to HTTP requests while keeping the websockets — I heard that advice, but if I am to do that, I'd rather go all the way and stop using websockets altogether.
This is really poor test though, of course the most recently trained model knows the newest libraries or knows that a library was renamed.

Not disputing it's best at reasoning but you need a different test for that.
I'm not commenting on what's better, but I've definitely seen that from Sonnet a few times.
So, question, how many YC startups have been successful? (broad strokes, let's say above 2x or break-even).
Continuing asking the same puzzle to every LLM seems flawed to me, since LLMs may eventually "learn" the answer for this particular puzzle just because it has been seen somewhere, without actually becoming able to answer other chess-related puzzles in way that at least follows the chess rules.
> I am not from the US though, so maybe what you consider a balanced perspective or reasoning about both sides is not the same as what I would call one

I'm also not from the US, but I'm not sure what you mean here. Unless you're talking about defaulting to answer in Imperial units, or always using examples from the US, which is a problem the entire English speaking web has.

Can you give some specific examples of prompts that will demonstrate the kind of Western bias or censorship you're talking about?
Yeah they only run in the “I commute to SF during the day” direction unfortunately.
No built-in is needed for an efficient reverse. It's just one or two lines longer because you need to write a tail-recursive helper with an accumulator, same as in functional languages: https://stackoverflow.com/a/74777180
Doctors in Wuhan first identified the pandemic due to the unusually high volume of sick and dying patients, not by any sophisticated means. There's no public evidence that the WIV was involved in the initial discovery of the novel virus. Zhang Yong-Zhen was the first to publish a genome, in Shanghai.

If the disease had already been global, then retrospective testing of wastewater samples, nasal swabs obtained for other purposes like the Seattle Flu Study, banked blood, and other stored samples would have revealed that. There were some scattered claims that it did, but none that held up very well under scrutiny.
Show HN: Orange intelligence, an open source alternative to Apple Intelligence
Hi HN! I’m excited to share Orange Intelligence, an open-source alternative to Apple Intelligence for macOS.

Orange Intelligence allows you to interact with any text on your macOS system in a more powerful and customizable way. It brings a floating text processor that integrates seamlessly with your workflow. Whether you’re a developer, writer, or productivity enthusiast, this tool can boost your efficiency.
Key Features:

Floating Text Processor: Trigger a floating window by double-tapping the Option key to process selected text.
Run Any Python Function: From basic text manipulations to running large language models (LLM) like OpenAI or local LLaMA, you can execute any Python function on the fly.
Full Customization: Want to add your own functions or logic? Just write them in Python, and they’ll appear in the floating window.

How does it work?

Capture: Uses AppleScript to simulate a global Cmd+C and capture selected text from any active macOS app.
Process: A floating window pops up, letting you choose what to do with the text (run a function, format it, or apply an LLM).
Replace: After processing, the app returns focus to the original application and pastes the processed text back with a global Cmd+V.

Why open source?

I built this to overcome the limitations of Apple’s proprietary tools, and I wanted to make it fully customizable and extendable. Orange Intelligence is built with Python and PyQt6, so it’s easy to adapt, extend, and contribute to.

It’s not just a text processor—it’s a platform for building custom workflows, whether you want to automate simple tasks or integrate with complex AI systems.

If you’re on macOS and you’re interested in boosting your productivity with Python and AI, I’d love for you to try it out and give feedback: https://github.com/sharingan-no-kakashi/orange-intelligence.

I’m looking forward to your thoughts, ideas, and contributions. Thanks!
I can't say that it's better than o1 for my needs. I gave R1 this prompt:

"Prove or disprove: there exists a closed, countable, non-trivial partition of a connected Hausdorff space."

And it made a pretty amateurish mistake:

"Thus, the real line R with the partition {[n,n+1]∣n∈Z} serves as a valid example of a connected Hausdorff space with a closed, countable, non-trivial partition."

o1 gets this prompt right the few times I tested it (disproving it using something like Sierpinski).
French and Brits do a lot of things the other way around, like imperial system, ATON/NATO, driving on the other side of the road.

Just mentioned the age bracket. Kids who are younger or older are outliers.
Can confirm. I boot Windows 11 without screen, then connect via RDP without issue
Your comment reads a lot like you were assuming that he was a layperson who never flew a plane before. The article looks as of it was deliberately staying ambiguous about that part. But the complete absence of any statement about his previous flight experience or lack thereof suggests that he was a pilot, but they prefer not to talk too much about that part for the sake of a gripping story. (it does say so in the title, even if a reader eager of sensationalism might very well argue "that was the flight that made him a pilot")

Zero experience in carrier operations is super-impressive nonetheless, but it completely pales next to the drama of setting out into nowhere overloaded and with a half-empty fuel tank. The airspeed delta between a Chessna and a carrier steaming into the wind is so low that the landing itself really would not be so that impressive. Impressive bit not crazy impressive.
Keycloak, Angular, and the BFF Pattern
SARS-1 was found in wild animals, had a long period in which it adapted to human hosts instead of being immediately well adapted, didn't have any weird artificial looking RNA sequences, and didn't emerge right next to a lab experimenting on coronaviruses.

Interestingly it was also clearly airborne and able to spread long distances in aerosols moved by air currents. Investigators traced those air flows in some cases to explain movements of the virus. Yet despite being literally called SARS-2 the WHO and other self-declared sources of expertise all denied that this was possible, and attacked people who pointed out that it was. The desire for lockdowns and masks to be perceived as credible outweighed prior experience with similar viruses, turning those who tried to learn from history into pariahs.
The protester's guide to smartphone security
"recently trained" can't be an argument: those tools have to work with "current" data, otherwise they are useless.
The thing is, it's mostly managers and the like getting wow'd by how cool it seems initially, and they're the ones driving the hype. I can ask it in plain English and it answers with flowery language that reads like a professional wrote it, wow!

Of course, once you actually try to use it for any real work that isn't a toy project with a trillion examples online, you very quickly run into the myriad of flaws. But they're not using it deeply like that, they're just interested in how they can cut costs or prop up their own product by wow-ing other managers with AI features even if they don't make a lick of sense from an end-user perspective.

This isn't even to say it's completely useless, just that the hype and marketing is so insanely divergent from the reality, it's shocking. For me, it's at best a 5% productivity boost for very specific tasks like formatting structured text or something like that, but I wouldn't say that justifies a 500 billion dollar investment...
That's a two sided argument. You could also argue the prior view was being suppressed by the previous White House, for the same reasons.
Content written by non-native English speaker will have some errors (usually). Content generated by ChatGPT4 will have no errors but will give feeling as if the person who was writing was compelled to puke more and more words
The problem is even in posts unrelated to the AI hype, someone will inevitably mention AI and somehow those threads always blow up to be the largest ones in any post.
X CEO laughs as Elon cracks Nazi jokes
Did you ask R1 about Tiananmen Square?
Quite a change from a year ago: https://www.theguardian.com/technology/2023/nov/16/elon-musk...
I'm not even sure it's that great for Londoners. What's the point of a six figure salary if it gets swallowed up buying a tiny terraced house or a flat too small for a family.
Only because there are too many software engineers, not the fact that AI will replace those jobs. Experienced software engineers are still required for successful businesses.
You didnt watch the wolves game did you?
I'm currently building a hybrid experience where users can have long conversations for things like conversation practice, while the bot also having the ability to present Anki-style flashcards. I'm also exploring other modalities for "cards" such as questions that would allow the user to respond to the bot's question with a voice message, and having the system analyze the recording for pronunciation/tone issues. Weaving these multiple modalities into a seamless experience is something that I'm still working on.
UK GDPR guidance – Consent or pay (2025)
Us good
China bad

That's it
Not to place value on the act. IIRC Mass produced Vietnam Hueys are "only" 4M each in current USD and many were heavily used / deprecated.
Definitely going to take this for a spin. BSD has been appealing to me for a long time, but the driver situation is wanting. In theory, a more integrated BSD like experience but with Linux kernel/drivers? Interesting!
How exactly? Is there any models that refuse to give answers about “the trail of tears”?

False equivalency if you ask me. There may be some alignment to make the models polite and avoid outright racist replies and such. But political censorship? Please elaborate
Trump is trying to bully everyone into submission and when that fails, hit them with tariffs and sanctions. It's what he did during his first mandate when he invited his "very good friend" Xi at his Mar-a-Lago estate. When a deal regarding the DPRK nuclear prigram failed to materialize he began threatening China with tariffs. I don't see any reason why it would be different now, only more "ambitious".

The EU should have its own China policy irrespective of the Trump Administration's.
The P in CP doesn't stand for "primary" but for "preparatory"
Sports analytics is a lot like video game development. Where, for better or for worse, salaries are much lower because pure passion for the domain is a huge motivator for people
Back in days (around twenty years ago) I used NoMachine on Debian/SPARC to do exactly this: run GNOME remotely.

Waypipe nowadays allows the same, but I don't think it has resuming support.
>Are “consent or pay” business models compliant with data protection law?

>“Consent or pay” models can be compliant with data protection law if you can demonstrate that people can freely give their consent and the models meet the other requirements set out in the law. This guidance provides a set of factors to assess whether people can freely give their consent or not in the context of a “consent or pay” model.
Mathematical proofs
Wayland. Solving the problems of yesterday, tomorrow.
If you need to enter the BIOS: bring up the terminal, and write
`systemctl reboot --firmware-setup`
This reboots systemd-powered systems to the UEFI menu. May not work on other init systems, but SteamOS is based on Arch with systemd.
My PM has been talking about converting half our product into a "conversational UI", meaning what used to be buttons would be turned into a textbox that sends a request to an AI API that will in turn trigger the same action as before. Of course, it shits itself 80% of the time, but AI!!!11!

It's total lunacy, I feel like I'm in a mental asylum sometimes.
preferred shares prevent cookie cutter founder fraud. Founder raises $1M at 10 post. Founder decides to sell 6 months later for 2 mil. Investors get 200k back founder gets 1.8 mil. Now run this math for AI unicorns.
not at all. AGI is so far away, maybe my kids kids's kid's kids will see it... LLMs no matter how its marketed is no where near it. and integrating LLM into other tooling to 'control' things is also not AGI.

that being said its plausible some idiot will connect an LLM to something potentially destructive and cause a disaster. i dont think otd be some global skynet style meltdown though. maybe some brudge that opens when it should close or a dam that breaks or whatever.

that being said, if there was such a threat, my wifes from a nomadic tribe im the sahara so thats my plan. go into the sand where there is nothing for such a system to exert control on, nor anything for it to gain.

its also unlikely an AGI would see such an untechnological tribe or peoples as a threat to any of its objectives or goals so its unlikely to spend resources on it.
Huanan Seafood Wholesale Market also sold the following seafood items: raccoon dogs, hedgehogs, weasels, badgers, hares, squirrels, civets, rats, porcupines, coypus, marmots, foxes, minks, wild boars, etc.

Civets at the very least are known to be the host for SARS-CoV virus that jumped to humans. The first affected people all had in common the market, and not the lab. Samples from the market in early 2020 found a lot of SARS-CoV-2 everywhere, specially at stalls that were selling poultry and racoons. The market was stuffed with animals. As poor as the security was in the lab, the market was orders of magnitude worse.
Dutch disease sums it up.

https://en.wikipedia.org/wiki/Dutch_disease