skysight-inc/HackerNews huggingface dataset:
+1, something about landing among the stars. I think Matt wanted to be one; this had a very astroturf feel - making himself the champion... and now, lol. But I repeat myself!
It's certainly low on the list of priorities to test, but yeah, testing all your logging calls is useful. It's how you avoid having something break in production in a non-reproducible way, checking your logs, and discovering that you've been logging your language's equivalent of [object Object] ever since someone refactored that code last year.
A hard science Nobel is very different from the peace prize, obviously.
I don't see how Waymo is going to survive the onslaught that is CyberCab. Cheaper to build and operate, more efficient, much faster to build, and deployable across all cities without any manual configuration. The clock is ticking on Waymo, they have 2 years to figure out how to compete otherwise they're cooked.

It's very similar to legacy space and internet, the existing players saw SpaceX coming years out, did nothing and got crushed.
Not sure why you're so hostile toward this. No one is saying that you're a BB; it's a thought experiment on the nature of reality.

And if you were a BB, you probably wouldn't know it, and how you experience yourself is irrelevant. That's kinda the point. The problem with the BB thought experiment is that it isn't falsifiable, at least not with techniques we have now.
> I built…over a winter break

This site is extremely well done. You built it, and all of its content, in a couple weeks? That’s amazing.
Aren't you good at math? Counting those hours should be easy.

Which obviously isn't a productive comment, but the small demands of K-12 aren't holding back math superstars, nor are the small demands required for an undergraduate degree.

I mean, I have an engineering degree from University of Michigan and I am only fairly good at math (but not particularly high achieving), so maybe my experience isn't instructive.
I think it just depends on what you're working on. In my experience, Claude usually has the edge over ChatGPT for most coding or logic problems; however, there are situations where Claude goes too deep the wrong way and ChatGPT wins out by staying more high level. Claude and ChatGPT are also "free" too, btw.
The issue is that specializations can be obsoleted by changes in technology and that teaching a citizenry how to think is the surest way to collapse your society.
Maybe it's time to start poisoning the well.

Use AI to generate fake articles for real news sites and let the AI bots crawl them.

How much returning traffic is a news plagiarism site going to get if they start reporting on Bigfoot getting into an accident on I-82 near Olympus Mons?
What we learned from building a no-code data stack. And why we changed course. How AI copilots solve what no-code apps simply cannot.

At first, we set out to solve a problem that seemed, at first glance, straightforward. Businesses have data locked in different systems: CRMs, product analytics platforms, billing tools, and more. To answer even basic business questions, they needed to extract and combine data from these silos.

Our approach was ambitious. We wanted to build a tool that handled every step of the data pipeline — data ingestion, modeling, schema mapping, metric definitions, and visualization — all through an intuitive and simple no-code SaaS interface. Our vision was to empower analysts, ops teams, and business users to do what once required a full data engineering team.

But, as we built and iterated and onboarded use-cases, we uncovered deep structural flaws in this approach. These learnings have been pivotal in shaping our current belief that low-code/no-code solutions are fundamentally misaligned with the challenges of real-world data complexity.

We learned that Code-first tools, with the right scaffolding, allow you to embrace complexity without being overwhelmed by it. With AI copilots like Preswald, code-first architectures, and unified control planes, we can finally create data stacks that are both powerful and approachable.
The pre-college US education is not excellent. I know because I went to a US public high school. Here are some of my observations:

1. The standards are low. Here are some examples:

- My high school calculus class went at half the speed of a college calculus class. Some of the students still complained it went too fast!

- I took Spanish for 3 years. Native Spanish speakers laugh at my Spanish because it is extremely poor (poor pronunciation and I cannot read a Spanish newspaper).

2. Students and parents are more concerned with grades than with learning.

3. I know of teachers who have been punished because they had high standards. I know of one English teacher who was made a librarian because he failed half of his class. He was the best English teacher in the school, and he had high standards. I know he was good because I had him.

4. When I went to high school, I was surprised at how many students could not write a coherent argument in English.

5. My physics and chemistry classes in high school looked nothing like the classes in college. Basically, they were relatively easy, and I did not learn a lot. In the case of physics, the textbook also did a poor job of explaining concepts.

My main point is my experience with US public education was poor. Classes were easy, students were not pushed, and concepts were not taught. I don't think you can call a school which cannot teach physics, chemistry, or Spanish a good school. I also do not think my experience was unique.
I disagree. Once you get to the scale that breaks a library based system like DBOS, you need to move away from a central coordinator. At that point your software has to adjust and you have to build your application to work without those types of centralized systems.

Centralized systems don't scale to the biggest problems no matter how clever you are.

And usually the best way to scale is to decentralize. Make idempotent updates that can be done more locally and use eventual consistency to keep things aligned.
Probably China will always outpay Cruise so you see migration from Waymo to Chinese companies, but not to cruise
I think you responded without reading the whole comment, or are purposefully trolling?
"Yes, but I'm pretty sure the moment this is achieved bitcoin's price will collapse."

Not necessarily. There's two interpretations to the question: 1. QC would be very efficient and mine efficiently. 2. QC would break SHA and would be able to reverse the hashing function at O(1).

In scenario 1. The difficulty would increase. The mining rate globally always stays the same. And the voting power would be distributed amongst the holders of the new compute, this has happened before with ASICs. Usually there's some graduality to it, and the capital is distributed so that there is never a 51% monopoly. It's especially relevant how big the jump is, if the new computer is stronger than all of the existing miners combined, then they get 100% theoretically (although with malice). In that case there would probably be a fork or as you put it, BTC would collapse. However, if you have that power, holding BTC is probably not that important anyway. The actual compute is worth more.

On scenario 2. Yes BTC would crash, but then again the actual compute power would be more impactful. BTC would crash but so would encryption, and planes and the world.
Arctic ecosystems that kept climate change in check are making things worse now
Mostly pilots of planes that ended up in Switzerland. Without GPS or mid-air refueling that did happen a lot. Swiss neutrality meant shooting at any military that entered their territory, no matter which side they were on, and taking anyone who surrendered captive.

Anything else could be seen as helping one side or the other, which wouldn't be very neutral. Not that they were always above helping them in non-military ways
The same can and is said about slavery and the financial viability of for-profit prisons:

https://calmatters.org/politics/elections/2024/11/california...

It doesn’t mean either statement is true though.
Due to the associated costs of integrating LLMs into products, many services rely on free trials that convert into monthly subscription plans. Does it make sense to introduce something in-between?

For example, after having used the Cursor IDE, I'm still hesitant to pay for a subscription. If Cursor offered a freemium model supported by ads, e.g., in the chat tab, I would gladly tolerate them to use the service for free.

Function calling agents are only getting smarted and can be configured to determine the relevant moments to serve ads during interactions, using high-level contextual + demographic information. Also, ads would be showcased separately from the LLM's response, with clear messaging to as why they were shown.

Does this approach make sense? Could it make freemium models sustainable without much disruption to the user experience?

The visuals on my website is the only way to fully articulate this idea.
Hey! Completely hear you on that, right now we just have endpoints for headless browsers, this is a instance running chrome with dedicated resources that you have full access to. This comes with proxy services and captcha solving. This comes at a higher cost but you will get blocked less and can do much more, like browser automations.

Dedicated endpoints for just scraping like scraping bee are coming next week at a discounted price! In the mean time let me know if there is anything you would like that scraping bee is missing :)
Sure, compare these articles:

1. Taylor Lorenz: https://en.wikipedia.org/wiki/Taylor_Lorenz

2. Christopher Rufo: https://en.wikipedia.org/wiki/Christopher_Rufo

Both have had their fair share of controversies. However, you would never know it from reading the first second of Lorenz's article. In fact, much of the article focuses on the harassment she has received. Rufo's article doesn't have a section dedicated to the harassment he has received. (I don't know for a fact that he has, but I just expect him to have been the victim of some harassment based on his public position.) Lorentz's article does touch on some of her controversies, but the tone is totally different.

N.B. I don't know much about either person, I'm just noting that their articles have different tones which I suspect is for ideological reasons.
This is very bad.

The warning signs were there

https://news.mongabay.com/2009/02/burning-rainforests-meltin...

I'd lie if I'd say that I'm optimistic about the future.
> ...is essentially thoughtcrime
> The police state has done an orwellian job...
> Then, any attempt to not tell the government is "money laundering".

Exactly.

But the really most shocking is the number of people that'll find excuses for such a dystopian system.

Now of course very few bite the hand that feeds them: when you literally work on software facilitating the handling of SARs, you need to do post-fact rationalization of your acts and life choices.

I hope the new administration burns that profoundly nightmarish system to the ground.
This is a common misconception with the "EU cookie prompts".

The EU does not require the use of "cookie prompts".

User consent is required to process a user's data for certain purposes+.

That may involve the use of a cookie, or it may not.

Whatever technological methods you use to process the user's data, and regardless of whether it happens on the client or server, you must ask for consent.

Having a system where cookies are not remembered between sessions would be no use, as the user's consent would still be needed while those cookies were set.

+Not everything needs consent, but things like tracking for advertising or analytics typically does. Even if you do it via IP address or local storage, you need to ask for consent - nothing to do with cookies.
My favorite test of image models:

Drawing of the inside of a cylinder.

That's usually bad enough. Then try to specify size, and specify things you want to place inside the cylinder relative to the specified size.

(e.g. try to approximate an O'Neill cylinder)

I love generative AI models, but they're really bad at that, and this one is no exception, but the speed makes playing around with prompt variations to try to see if I get somewhere a lot easier (I'm not getting anywhere...)
Tried signing in with Twitter but when I clock "Authorize App" I get:

> Something went wrong. Please make sure the data you entered is correct.
> Cattle ranching, particularly in "undeveloped wilderness" is incredibly destructive of the local environment.

This is the opposite of the truth. In fact cows are cultivating, manure spreading and seeding machines that vastly improve their future forage just by doing their thing, if not over grazed. I know a local rancher who makes all of his money as an elk hunting guide on his property. He keeps a herd of cattle for the purpose of improving the forage for the elk, and for his own table.

I invite you to come and hike on this land. I very much doubt that you would conclude that it has been damaged by the cows. In most places you could walk through a time warp to three hundred years ago and you couldn't tell the difference.
IMO the real culprit there isn't "people screaming bloody murder," it's that because we have no social insurance for pandemic type events, lots of single parent working households, lots of two income working households, lots of one child households, etc., so kids could not get sufficient socialization at or near home despite getting lots of socialization at or near home being totally possible, especially if parents were able to organize a bubble pairing to another household with kids. Instead, kids screwed around on mobile devices at home by themselves while parents worked rather than engage with them.
Morbid obesity and type 2 diabetes are risk factors. Americans are (in)famous for both.
Built https://sendbroadcast.net for myself and started selling it too. Made about $1500 usd so far over the past 2 months and a bit.
I'd be interested to see your rates for margin if you do decide to offer margin.

I don't use the margin to get more market exposure. I treat it as a lower APR credit card with a sizable credit limit. Interactive Brokers will charge me 6% instead of 20+% of a typical credit card. I don't use it much, but I like having it. I don't know if it makes business sense to offer lower margin rates than IBKR to retail customers, but I'd be interested. Before someone lectures me: I consider 10% of my holdings to be my "credit limit".
I never understood why the courts didn’t uphold “do not track”.

One of the basic tenants of contract law is “last writer wins”. If I say “here’s a contract”, and then you make amendments to it, sign it, and then I sign it, the amendments are part of the contract.

It is legally obvious that “Do Not Track” should be incorporated into the user agreement for the web site.
Also can you ban people who post actual trash like binary files.
So you're hoping get price improvement by crossing with other trader orders in the book?

Unless you have a good high frequency predictor and low latency order management (you don't), you're going to experience adverse selection. Either because you're taking resting orders that HFTs are smart enough to avoid or because your resting orders get run over by informed traders.
Where's the performance on common useful tasks?

What's the largest number it can factor using Shor's algorithm? What's the largest hash it can compute a pre-image for using Grover's algorithm?
I think this is a unlikely outcome. The CEOs will hire more personal security and the company will pay for it. The job of a CEO is to maximize profit of the company, this is written in their contracts. So this is what they will do.
> How does AI attend meetings, ask questions of local officials or bodies, provide in-person reports and original fact based copy?

How is any of that relevant to getting people to read your articles? Seems like getting rid of all those will make reporting a lot cheaper. That way, anyone can start a newspaper and report whatever they want!

I'd argue that you have a much better chance of a consistent reader-base if the contents of your articles have no base in reality.
Note: the poster's point at that link is spread over several consecutive posts. If you are not logged into an X account it will only show the first. You can see the whole series by changing the x.com in the URL to xcancel.com.
Notably, fal.ai used to host a demo here[1] that was very impressive at the time.

[1] https://fastsdxl.ai/
It caused a shitstorm for our family. The prices of houses went 3x in our area due to covid era ~0% interest rate policies, leading me to work so hard to try and keep up I had health issues and was working ~80 hours a week just to be able to buy 1/2 the house I could have before the great leaders printed their way through their policies. I finally managed to secure housing but only after working twice as hard and physically building the house myself one block at a time with completely undeveloped land (this was the only real estate not exploded into oblivion by mortgage bidders), something last done by common people circa the great depression.

The cure may have been worse than the disease. They basically carpet bombed anyone who started a family right at the time the pandemic broke out.
Curious as to what was the Dropbox comment? Can you please share or link? Thanks!
Oof. This comment originally had an introduction attributing the summary to Claude and immediately got downvoted to oblivion. Now it's been edited to remove the attribution and it's resurrected (edit: gone again, so ignore me).

Unintended perverse incentives...
1. Rewrite Rust in Git

2. Airbnb for public benches

3. Podcast that is only ads

These are the ideas I want to see
When I have to use a popular browser I too use extensions to achieve an "off by default" setting for Javascript.

Default settings matter. In popular browsers, Javascript is "on by default". From the evidence produced in Google's antitrust litigation, we know that companies or organisations that control these browsers choose default settings strategically to increase surveillance, data collection and ultimately online ad services revenue.

I rarely find websites that are truly dependant on Javascript, meaning the web developer had no choice other than to use it. Instead, what I find is (a) gratuitous use of Javascript to do something, e.g., make an HTTP request, etc., that can also be achieved without it and/or (b) use of Javascript to make HTTP requests I never intended to make, e.g., requests for ads or tracking. Javascript is effectively used to transfer control over web browsing from the web user to the web developer. Through the use of Javascript, a single request for a page becomes a trigger for dozens of additional requests the web user never intended to send, and usually to domains the web user has never heard of, that serve no useful purpose to the web user.

1. Extensions/add-ons like uBlock will show numbers of requests to be triggered with Javascript. Insanely high numbers are common. For example, something like fifty-seven for Github. Meanwhile I am able to use Github to search, read and download source code just fine with a relatively small TCP client (not git) that does not run Javascript, only sends a single HTTP request and generally uses only two github domains, i.e., github.com and githubusercontent.com.

In sum, I am not sure that many websites are truly dependant on Javascript to offer what they purport to offer to web users, e.g., information, files, etc. What I am more inclined to believe is that websites are dependant on Javascript to perform surveillance and data collection, not to mention serving ads and tracking.
Rooted in speculation about why this meltdown occurred in the first place: be very careful about taking money, as well as the amount and who from. My guess from day one is that Matt was put under pressure from investors and this was the only "fix" he saw.

A real shame to see such a great legacy flushed for zero ROI.
Domain registered 2024.12.09 for anybody else wondering.
...Then it'd be full of garbage
it is like belle delphine's bath water, but for nerds
Isn’t it kinda the other way around? I feel like the clock starts the first time a CyberCab gives a paid passenger ride, and that seems like quite a ways out — potentially much more than 2 years.

And Waymo has that whole time to bring down their costs of construction, learn how to solve problems of scale, and so on.

I agree that a CyberCab would have structural advantages if the service were at parity w/ Waymo, but that is a very big hypothetical!
I don't view opt-in as a very good defaults for these.
You also need to teach your kids to book it the moment their employer does not reward them for professionally doing their work well.
I get the part about popping into existence but how would even so much as a bilipid layer around a single cell form, let alone a whole brain? Where are all the antiparticles in this, except shooting around? Even if all the particles pop into existence perfectly placed for a single quanta of Plank time, aren’t the antiparticles destructively interfering with all the other particles even before they begin to annihilate? I imagine they would prevent any chemical reaction happening at all at that density. What about all the force carriers? Can they even pop into existence in the quantum foam coupled?

It wouldn’t really resemble a brain in biological sense of the world because the only stimuli it can and will react to is its own disintegration. It’s hard to justify it even “existing” at all. A “virtual” brain in the sense of virtual particles perhaps, except it seems quantitatively useless.
It’s a question of overpromising and underdelivering. I’m not anti science. The scientists should definitely go forth and science. It’s the marketing they are bad at. The boy who cried wolf is not a training manual.
Show HN: Kiln - Interactive LLM fine-tuning, dataset collab & synthetic data gen
Hi HN!

Excited to share a project I’ve been working on called Kiln AI! It solves what I’ve always found to be the hardest part of building AI products: products simply don’t have datasets, and datasets can’t keep up with product evolution. Product goals evolve, are hard to define, and new bugs emerge all the time. Kiln helps you build ML models for your product, from a collaborative dataset. For a bit of context: I’ve been building consumer AI products for a decade at Apple, my own startup, and MSFT.

At its core Kiln is 3 things (so far):

- Really great collaboration: Kiln datasets are designed to be shared/versioned in Git. We make it easy for the full team (PM/QA/subject-experts) to contribute directly, via super intuitive apps. With Kiln, when anyone on the team adds bugs/evals/goals, they go right into the dataset to be picked up in the next build.

- Rapid fine-tuning: dispatch fine-tuning jobs for a range of top models (Llama 3.2, Mixtral, GPT 4o/4o-mini). It’s fine tuning in just a few clicks.

- Synthetic data generation: our interactive data gen helps create large enough datasets for fine-tuning and evals. Build an initial training dataset, or use it to build out enough examples of a bug for the model fix it. It uses large models and heavy prompts (COT, multi-shot), which allows you to fine-tune smaller and faster models.

The link here is to the new fine-tuning feature which just launched today. The demo shows starting a project from scratch, defining a task, generating synthetic training data, fine-tuning 9 models, and deploying them. It’s all very easy: 18 mins of active work, all in an intuitive UI. You can download the apps and follow the same process for your own product goals.

I’d love to chat with folks building AI products, and offer any help I can (tools and/or guidance). Fire me a message at steve@getkiln.ai if interested.

You can download our apps for Mac, Windows or Linux, or `pip install kiln_ai` for the library.

Github with docs, downloads, and guides: https://github.com/Kiln-AI/Kiln