skysight-inc/HackerNews huggingface dataset:
> As a newcomer to Go, a lot of their design decisions made a lot of sense when I realized that a lot of the design is based around this idea of "make it impossible to do something that could be dumb in some contexts".

You are indeed a newcomer :) God bless you to shoot feet only in dev environments.
What will be powering all these data centers? The thought of exponentially increasing our fossil fuel consumption scares the hell out of me.
Well if you have evidence to the contrary, do present it. I'm keen to listen.

You said:

> Do you have any idea what the effect on estrogen is on the body and behaviors?

But then you didn't explain what you meant by this, or exactly how it relates to what we were discussing in terms of policy. Could you elaborate, please?

If you can demonstrate that the points I made above were incorrect, that male-inclusive policy in the areas we've discussed actually isn't having a detrimental impact on women and girls, then I would like to know about it. Thanks.

Accusing me of being bigoted, hateful, ignorant, etc. doesn't have any effect on changing my view, by the way.
None, that book would be another piece of clutter.

I am only half joking here, buying more stuff when you want to declutter is a bit contradictory.

Do you really need a book about decluttering? If you really think you do, or if you really love books, then go buy that book, but the idea of "I want to get into X, let's buy something" is, I think, an important source of clutter.
If you're referring to me, that's a backward conclusion. I travel plenty; and every time I do, Apple messes up my appointments.
> he wants to maximize the US's economic output to ensure we are competitive with China in the future.

LOL

Under Trump policies, China will win "in the future" on energy and protein production alone.

Once we've speedrunned our petro supply and exhausted our agricultural inputs with unfathomably inefficient protein production, China can sit back and watch us crumble under our own starvation.

No conflict necessary under these policies, just patience! They're playing the game on a scale of centuries, we can't even stay focused on a single problem or opportunity for a few weeks.
This is like asking whether $500 billion to fund warp drives would yield better returns.

Money can't buy fundamental breakthroughs: money buys you parallel experimental volume - i.e. more people working from the same knowledge base, and presumably an increase in the chance that one of them does advance the field. But at any given time point, everyone is working from the same baseline (money also can improve this - by funding things you can ensure knowledge is distributed more evenly so everyone is working at the state of the art, rather then playing catch up in proprietary silos).
Show HN: Adaptive-classifier – text classification with continuous learning
Hi HN! I've built a Python library that lets you create text classifiers that can continuously learn and adapt to new classes without retraining from scratch.

What makes this different from typical text classifiers:

- Dynamically add new classes at any time without full retraining
- Combines neural networks with prototype learning for better few-shot performance
- Uses Elastic Weight Consolidation to prevent catastrophic forgetting
- Works with any HuggingFace transformer base model
- Memory-efficient through prototype-based storage

You can try it out in under a minute:

pip install adaptive-classifier

from adaptive_classifier import AdaptiveClassifier

# Initialize with any HuggingFace model
classifier = AdaptiveClassifier("bert-base-uncased")

# Add initial examples
texts = ["Great product!", "Terrible experience", "Average performance"]
labels = ["positive", "negative", "neutral"]
classifier.add_examples(texts, labels)

# Make predictions
print(classifier.predict("This is amazing!"))
# [('positive', 0.85), ('neutral', 0.10), ('negative', 0.05)]

# Add a completely new class later
classifier.add_examples(
["Error 404", "System crashed"],
["technical", "technical"]
)

The library came out of my work on building a model router for optillm where approaches and model types keep changing. Traditional classifiers require full retraining when adding new classes, which becomes impractical with large datasets.

Source code: https://github.com/codelion/adaptive-classifier

I'd love to hear your thoughts and feedback! Happy to answer any questions about the implementation details, use cases, or future plans.
The new scaling vector is “test time compute” ie spending more compute in inference.
I saw Stargate trending on Bluesky and got my hopes up about an announcement of a new show/movie/something. Disappointing.
My family’s phone number when I was a child was both a palindrome and a prime: 7984897.

My parents had had the number for two decades without noticing it was a palindrome. I still remember my father’s delight when he got off a phone call with a friend: “Doug just said, ‘Hey, I dialed your number backwards and it was still you who answered.’ I never noticed that before!”

A few years later, around 1973, one of the other math nerds at my high school liked to factor seven-digit phone numbers by hand just for fun. I was then taking a programming class—Fortran IV, punch cards—and one of my self-initiated projects was to write a prime factoring program. I got the program to work, and, inspired by my friend, I started factoring various phone numbers. Imagine my own delight when I learned that my home phone number was not only a palindrome but also prime.

Postscript: The reason we hadn’t noticed that 7984897 was a palindrome was because, until around 1970, phone numbers in our area were written and spoken with the telephone exchange name [1]. When I was small, I learned our phone number as “SYcamore 8 4 8 9 7” or “S Y 8 4 8 9 7.” We thought of the first two digits as letters, not as numbers.

Second postscript: I lost contact with that prime-factoring friend after high school. I see now that she went on to earn a Ph.D. in mathematics, specialized in number theory, and had an Erdős number of 1. In 1985, she published a paper titled “How Often Is the Number of Divisors of n a Divisor of n?” [2]. She died two years ago, at the age of sixty-six [3].

[1] https://en.wikipedia.org/wiki/Telephone_exchange_names

[2] https://www.sciencedirect.com/science/article/pii/0022314X85...

[3] https://www.legacy.com/us/obituaries/legacyremembers/claudia...
>I'm not even sure you can get a US large in Japan for most drinks?

I've seen what large US drinks look like, and you definitely can't get that here in New Zealand. Like a litre of soft drink at a fast food place, it's absurd.
So tsmc and nvidia basically then?
Some technical details about how it works:

The core architecture combines a transformer model for embeddings with a prototype memory system and an adaptive neural head.

When adding new classes, it uses Elastic Weight Consolidation (EWC) to preserve performance on existing classes while learning new ones. This prevents the common problem of catastrophic forgetting.

The prototype memory system maintains class prototypes that get updated efficiently as new examples are added, making it memory-efficient even with large datasets.

All state (prototypes, examples, neural weights) can be saved and loaded, making it easy to deploy and update models in production.

The library is built on PyTorch and integrates with the HuggingFace ecosystem. It's tested with Python 3.8+ and requires minimal dependencies.

Let me know if you'd like me to explain any part in more detail!
I didn't make a solo game mode, but you can play against yourself by opening the link in a new tab if that's helpful
> they aren’t even profitable

Depends on your definition of profitability, They are not recovering R&D and training costs, but they (and MS) are recouping inference costs from user subscription and API revenue with a healthy operating margin.

Today they will not survive if they stop investing in R&D, but they do have to slow down at some point. It looks like they and other big players are betting on a moat they hope to build with the $100B DCs and ASICs that open weight models or others cannot compete with.

This will be either because training will be too expensive (few entities have the budget for $10B+ on training and no need to monetize it) and even those kind of models where available may be impossible to run inference with off the shelf GPUs, i.e. these models can only run on ASICS, which only large players will have access to[1].

In this scenario corporations will have to pay them the money for the best models, when that happens OpenAI can slow down R&D and become profitable with capex considered.

[1] This is natural progression in a compute bottle-necked sector, we saw a similar evolution from CPU to ASICS and GPU in the crypto few years ago. It is slightly distorted comparison due to the switch from PoW to PoS and intentional design for GPU for some coins, even then you needed DC scale operations in a cheap power location to be profitable.
> Would really appreciate if you could formalize your view on "no BS" version.

Only removing things, not adding anything that wasn’t there. That means no LLM summary. Pared down to the essentials, i.e. the video.
Thankfully USB-C to headphone adapters exist :)
Fossil fuels, of course.
The set of [dead] posts on Hacker News is certainly a creative definition of "the news".

It's not possible to run a site like HN without moderation. However, if you delete moderated posts outright, users will rightly complain about censorship. I'm not referring to the politics of the last 10 years when I use that word; I'm talking about 2006 or so, when pg was first designing HN. The solution he came up with, which has held up well over the years, is not to delete moderated posts, but rather to tag them as "[dead]" in a way that anyone who wants to read them is welcome to.

So what you call "hiding the news from people without an account", I call "not deleting anything and making sure that anyone who wants to can read the complete set of moderated posts".

This is in the FAQ (https://news.ycombinator.com/newsfaq.html) and there's lots of past explanation at https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que....

(p.s. for those who like precision: HN does also have deletion, but only the author of a post is allowed to delete it, and only if it didn't have replies. We sometimes delete posts when users email and ask us to, but we never do this as part of moderation.)
They also still have the NHS even though torys hate it.

Labor laws and social programs are very hard to eliminate once created because they are very popular. The US has weaker labor laws and social programs than the UK and they've been eroded since the 80s by nearly every Congress and administration. Yet we still have social security and Medicare not because Republicans love those programs, but because the remain hugely popular.

You'll note that the torys and conservatives haven't enacted or pushed for their own social programs. They've simply failed to fully eliminate what's already there.

The social programs conservatives in the US have been effective at eliminating and neutering mostly happened because of racist narratives. "Welfare queen" was very much a pejorative used to paint a picture of "urban" women living off of government assistance. That allowed for huge cuts to previous programs because they hurt the right people.
>breathtaking naivete of scientists.

Crows are never whiter by washing.

You cannot dispense common sense through the educational system. Most career scientists are mediocre, and/or they are trying to survive in a rigged system.
Worth looking up the story of John Law.

He noticed interest rates at banks dropped when gold and silver ships from the Americas appeared on the horizon of European ports. Cause it meant money supply was going to increase in the market. Leading to more trade > manufacturing > jobs. So he asked the question why wait for the ships? Lets just print IOUs on paper and generate all this economic activity. Convinced the king and everyone has been doing it since.

Only problem is if IOUs are printed faster than goods arrive in the market we get Inflation or even Hyperinflation. People spend more and more, to buy less and less causing all kinds of chaos. If printed too slow there are other problems.

Kings over printed all the time to pay off debts inccured in maintaining armies, building palaces or whatever. Which leads to people ditching the currency for gold or something else, panic, bank run, bank failure, king toppled etc

On the flip side, industrial revolution, Tech disruption caused goods to arrive faster in the market faster than money was printed causing them to be sold cheaper than produced.

So we end up with Central Banks given the job of tracking inflation and increasing or decreasing the money supply to keep things stable.
It's harder to swing things that way because conviction needs to be unanimous.
> and they for some reason give credit to Trump?

Because tech CEOs have decided to go all-in on fascism as they see it's a way to make money. Bow to Trump, get on his good side, reap the benefits of government corruption.

It's why TikTok thanked Trump in their boot-licking message of "thanks, trump" after he was the one who started the TikTok ban.

A harder question is: why wouldn't billionaires like Trump and his oligarchic kleptocracy?
Unfortunately, multi-tiered societies ("those people do THAT work") have been a thing ever since people got the idea to settle down. Maybe for a brief period of time, these tiers could be in entirely separate hemispheres, but things tend to diffuse over time.
And I agree with you on that, until it hurts the bottom line (which, even if it happens, will be hard or impossible to quantify).

There are loads of apologists out there ready to defend bad design, and a (sadly) growing percentage of the population that has never been exposed to GOOD design in many product categories.
I've been using Llama models to identify cookie notices on websites, for the purpose of adding filter rules to block them in EasyList Cookie. Otherwise, this is normally done by, essentially, manual volunteer reporting.

Most cookie notices turn out to be pretty similar, HTML/CSS-wise, and then you can grab their `innerText` and filter out false positives with a small LLM. I've found the 3B models have decent performance on this task, given enough prompt engineering. They do fall apart slightly around edge cases like less common languages or combined cookie notice + age restriction banners. 7B has a negligible false-positive rate without much extra cost. Either way these things are really fast and it's amazing to see reports streaming in during a crawl with no human effort required.

Code is at https://github.com/brave/cookiemonster. You can see the prompt at https://github.com/brave/cookiemonster/blob/main/src/text-cl....
And functional programmers would argue that contravariance is the real meaning of Liskov’s substitution principle: https://apocalisp.wordpress.com/2010/10/06/liskov-substituti...
You can't add arguments to vendor library functions. It's super convenient to have contexted logging work for any logging calls.
Jeez I'd love to know what Apple's R&D debt on Vision Pro is, based on current sales to date. I really really hope they continue to push for a headset that's within reach of average people but the hole must be so deep at this point I wouldn't be surprised if they cut their losses.
Okay, just so I understand, you're claiming there aren't ideological consistencies across members of a political group?
I think there is huge amount of corporate knowledge.
long shot: I’ve got a USB-based ESC/POS printer, but couldn’t get my mac nor RPI to recognize it as a printer through CUPS.

The printer shows up in the USB tree, but (maybe?) needs a driver to be recognized as a “printer”? I was trying to follow tutorials that treated it as a line printer, but unsuccessfully.

Any idea how much luck I will have if I try this out? Does this project rely on working drivers? Or does it handle the raw USB communication?

It’s an IBM-branded Type 4610 Model TF6.
Mastodon is a Twitter clone, nowhere comparable to Facebook. An endless microblogging format may not be ideal for a local community, as compared to a regular forum (which is just one of the many features Facebook offers).
User-agent aside there are usually small details bots leave out unless they are using headless chrome of course. Most bots can't do HTTP/2.0 yet all common browsers support it. Most bots will not be sending cors, no-cors, navigate sec_fetch_mode headers whereas browsers do. Some bots do not send a accept_language header. Those are just a few things one can look for and deal with in simple web server ACL's. Some bots do not support http-keepalive, though this can knock out some poor middle boxes if dropping connections that do not support http keepalive.

At the tcp layer some bots do not set MSS options or use very strange values. This can get into false positives so I just don't publish IPv6 records for my web servers and then limit to an MSS range of 1280 to 1460 on IPv4 which knocks out many bots.

There are always the possibilities of false positives but they can be logged and reviewed acceptable losses should the load on the servers get too high. Another mitigating control is to perform analysis on previous logs and use maps to exclude people that post on a regular basis or have logins to the site assuming none of them are part of the problem. If a registered user is part of the problem give them an error page after {n} requests.
Who can break crypto with quantum computing? That is total speculation.
I do not advocate routine genital check for office workers. The crucial questions for me are the following:

1) should institutions that have female only spaces or events be allowed to exclude pre-op transwomen? Post-op? For example, the women's only nude spa in Seattle that got in trouble for excluding a transwoman -- https://www.courthousenews.com/after-banning-trans-women-was...

2) If a coworker of mine who I know to be a biological male (he has sired children, etc.) socially transitions (no surgery), should I be forced to call him "she" and say that he is a woman? What if he makes almost zero effort to pass as a woman? What if he medically transitions?

3) Should I be able to make an argument on social media (Reddit etc.) such as "Men cannot get pregant" or "trans women are not real women" without getting banned for hateful conduct?

All three of these things are really happening, and are the real issues getting me freaked out (also, that and transitioning kids who very obviously are not "girls in a boys body")
initiators will cash out by that time one way or another
The only thing elite universities provide is, possibly, “elite” connections. The education is the same, you get out of it what you put into it.

The state schools of the US aren’t worse than Stanford or Harvard, you pay extra to hang out with people who can also afford to pay extra.

The college education system in the US is second only to the healthcare system in terms of “how fucked this system truly is” metric.
Why Did Pensions Disappear?
Keto diet is a fad diet like any other.
>> Where are they getting the $500B? Softbank's market cap is 84b and their entire vision fund is only $100b, Oracle only has $11b cash on hand, OpenAI's only raised $17b total...

1. The outlays can be over many years.

2. They can raise debt. People will happily invest at modest yields.

3. They can raise an equity fund.
At peak hype?
Yeah, I'm in no way claiming that this isn't a thing, or even that it isn't a problem.

But it isn't a problem for most people. The kind of edgelords that run into this are overrepresented on internet forums, including HN, but it's actually a pretty small group of people.
Your first statement is true.

When I set up an appointment at 10 a.m., I want that reminder to go off when the clock on my phone says 10 a.m. anywhere in the world.

That is all.
looked at spreadsheet. strong vibes of manual j :)

curious, does it take into consideration heat gain/loss by walls and insulation through the day ? or is there any model that does it ?
Certainly but my point was more that the watch charges quite quickly when done so on a daily basis. Not to mention it’s surprising that someone can get by without giving their skin a breather for a small portion of the day. Given that it’s healthy to let the skin breath it’s always interesting to hear the daily charge constraint as an issue. Are people keeping a garmin on their wrist 24/7 for 7 days? Simply a strange constraint that is always mentioned.

Similar to your battery life concern. It’s valid but we are on what…evolution 11 now? My current two year old watch has more than enough battery. Prior to that I had one for 4 years I think. Same deal no issues in batteries.
Could be the case, I’m not familiar with their specific tokenizers. IIRC llama 3 tokenizes in chunks of three digits. That seems better than arbitrary sized chunks with BPE, but still kind of odd. The embedding layer has to learn the semantics of 1000 different number tokens, some of which overlap in meaning in some cases and not in others, e.g 001 vs 1.
I can definitely attempt to clarify something I've already said in writing! But yes, interactivity is vital for healthy communication.
I have ollama responding to SMS spam texts. I told it to feign interest in whatever the spammer is selling/buying. Each number gets its own persona, like a millennial gymbro or 19th century British gentleman.

http://files.widloski.com/image10%20(1).png

http://files.widloski.com/image11.png
What do you mean? It shows fine for me on every machine
The first release of OpenVox is hot off the presses
a lot of open space - desert - and plenty of solar energy. and favorable politics.
I'm much more interested in how few packages I could install
The article also mentions that this all started last year.
No, line-by-line meets my standard. I don't think just validating authorship is enough.
IBM Color/Graphics Monitor Adapter [pdf]
How else do you think Trump is going to bring back all the coal jobs? SV is going to help burn down the planet and is giddy over the prospect.
What about indoor vertical farming? Or disease killing pollinators? Or climate change doing the same?
LLMs and transformers use a statistical approximation to generate information (whether it's text or images, etc). As a result it mostly limited to providing an average response... which in general is not that useful. When it comes to writing code, creating art, or anything interesting (which tends to be creative), the useful solutions tend to be novel, unique, or at least outside of the average. With code, if you're creating an average app then you can probably copy/paste from online examples, but those apps aren't interesting. With art, if you draw or model something that is average, even if it's perfectly rendered, it's still not that interesting.

AI will definitely change many industries because it's a powerful tool, but it's a tool that will affect non-creative repetitive tasks like summarizing text, clip art, boilerplate code, etc. For AI to be truly useful it will need to be truly creative.
Postdoc can be very advantageous on a resume. Where I am, if it's remotely related, you start at a higher engineering level than a PhD.
Sorry, I mean I want to view my soc media feeds in this dashboard. I'm familiar with those tools - they are for mass posting of content.
disabled once CCD. got 10fps in Limsa

bought a 5700x3d. got 30fps in Limsa

3D V-cache is magic.
Well, that still wouldn't reduce your car speed by 50%.

And even for that case there would be a warning on the console and a mechanic would be able to inform what is happening. On this iphone case, there was no warning at all on the device nor there was any disclosure that they would be doing this to the phones.

You know this. In either case, thank you for the ECU info.
I’m not arguing that it’s an unnecessary element. Rather, I don’t agree with the original statement that the government should shut down the services.