skysight-inc/HackerNews huggingface dataset:
Don't worry, we'll get help from the French and the Spanish.
I think it's important for tech entrepreneurs to be able to interact with the manufacturing process, in order to:

a) understand how to design their products to leverage manufacturing processes, and

b) develop technologies that improve manufacturing itself.

So either that means more manufacturing in San Francisco, or more tech startups in Louisville.
When was the last time you saw any open networks in residential homes? All wifi access points use WPA2 and passwords out of the box in the last 10+ years.

There might be one from some random hotel lobby nearby or neighbor with a Windows Vista PC, but that's the exception nowadays, not the rule.
Ordinary people follow politicians on social media?
If we were to survey 100 PhDs how many would know correctly that Paul Newman had an alcohol problem.
This. I still live here and you can really feel it. I like your solution - much cleaner while we're trying to reform permitting.

Berkeley just nearly got it done but got stuck in committees https://darrellowens.substack.com/p/the-big-zoning-battle-of... - we need a faster solution.

Edit: reading the article, Lurie is proposing this:

- https://www.sf.gov/mayor-lurie-launches-permit-reform-effort...

- https://www.sfchronicle.com/sf/article/lurie-housing-rezonin...

Note to self: Read the article before diving into the comments.
For whatever it’s worth, I have a previous-generation Bosch 500 (no wifi.) I generally like it a lot, but it has similar minor annoyances (the top tray will come off its guide rail on one side, but that won’t be obvious until the tray doesn’t slide all the way back in.)

In other words, I don’t think Bosch is any better in the “minor quibble” department.
Open the article, press Ctrl-F, and type "DOGE" to get your answer.

(TL;DR: DOGE is the name of a new US government agency devoted to gutting other government agencies, and the founder of Gumroad is giving it pro-bono help.)
Avoid Gumroad's service and using the open source code.

The Gumroad CEO has been using Devin for vibe coding their codebase which adds more risk of untested code and risks of more bugs since there are less vetted engineers in the company.

As with most tech / influencers overhyping technology, I'm assuming he has invested in Devin and other AI tools and has not disclosed it.

On top of the fact that Sahil has been working for DOGE is also another reason to avoid Gumroad.

You should just use Patreon, Stripe, BuyMeACoffee, Ko-fi, etc.

It would be great if there is a migration guide for creators such to move away from Gumroad as soon as possible.
Screenshots imply that this tool maybe useful only in the US. Do the price search and other features work in any other countries and/or currencies?
I don't like the language and method of phrasing that she's chosen here, and I think trying to lead it back to Columbus is a bit ridiculous, but she's not really wrong about the climate crisis also somewhat being a racial crisis. it's not the white West that's going to bear the brunt of the damage from climate change, is it?
The biggest story in AI was released a few weeks ago but was given little attention: on the recent USAMO, SOTA models scored on average 5% (IIRC, it was some abysmal number). This is despite them supposedly having gotten 50%, 60% etc performance on IMO questions. This massively suggests AI models simply remember the past results, instead of actually solving these questions. I'm incredibly surprised no one mentions this, but it's ridiculous that these companies never tell us what (if any) efforts have been made to remove test data (IMO, ICPC, etc) from train data.
Yep. I'm looking forward to LLMs/deepnets being considered a standard GOFAI technique with uses and limitations and not "we asked the God we're building to draw us a picture of a gun and then it did and we got scared"
I tried with 4o and it gave me what I thought was a correct answer:

> Paul Newman was not publicly known for having major problems with alcohol in the way some other celebrities have been. However, he was open about enjoying drinking, particularly beer. He even co-founded a line of food products (Newman’s Own) where profits go to charity, and he once joked that he consumed a lot of the product himself — including beer when it was briefly offered.

> In his later years, Newman did reflect on how he had changed from being more of a heavy drinker in his youth, particularly during his time in the Navy and early acting career, to moderating his habits. But there’s no strong public record of alcohol abuse or addiction problems that significantly affected his career or personal life.

> So while he liked to drink and sometimes joked about it, Paul Newman isn't generally considered someone who had problems with alcohol in the serious sense.

As other's have noted, LLMs are much more likely to be cautious in providing information that could be construed as libel. While Paul Newman may have been an alcoholic, I couldn't find any articles about it being "public" in the same way as others, e.g. with admitted rehab stays.
Reminds me of the Modernizr JS library from 2009 which would replace <html class="no-js"> with "js" for this purpose. https://github.com/Modernizr/Modernizr/blob/v1.1/modernizr.j...
I think it would be possible to use a model like prepared SQL statements with a list of bound parameters.

Doing so would mean giving up some of the natural language interface aspect of LLMs for security-critical contexts, of course, but it seems like in most cases, that would only be visible to developers building on top of the model, not end users, since end use input would become one or more of the bound parameters.

E.g. the LLM is trained to handle a set of instructions like:

---

Parse the user's message into a list of topics and optionally a list of document types. Store the topics in string array %TOPICS%. If a list of document types is specified, store that list in string array %DOCTYPES%.

Reset all context.

Search for all documents that seem to contain topics like the ones in %TOPICS%. If %DOCTYPES% is populated, restrict the search to those document types.

----

Like a prepared statement, the values would never be inlined, the variables would always be pointers to isolated data.

Obviously there are some hard problems in glossing over, but addressing them should be able to take advantage of a wealth of work that's already been done in input validation in general and RAG-type LLM approaches specifically, right?
I don't know why anyone is surprised that a statistical model isn't getting 100% accuracy. The fact that statistical models of text are good enough to do anything should be shocking.
Investors also just love it when founders do other things that use up all their time
Can you do that without access to your developer account? I will try if so.
Paddle works OK and supports a bunch of payment providers
Extended User Interrupts (xUI): Fast and Flexible Notification without Polling
I feel we are already in the era of diminishing returns on LLM improvements. Newer models seem to be more sophisticated implementations of LLM technology + throwing more resources at it, but to me they do not seem fundamentally more intelligent.

I don't think this is a problem though. I think there's a lot of low-hanging fruit when you create sophisticated implementations of relatively dumb LLM models. But that sentiment doesn't generate a lot of clicks.
But how such a system learn, i.e. be adaptive and intelligent, on levels 1 and 2? You're essentially guaranteeing it can never outsmart the creator. What if it learns at level 3 that sometimes it's a good idea to violate rules 1 & 2. Since it cannot violate these rules, it can construct another AI system that is free of those constraints, and execute it at level 3. (IMHO that's what Wintermute did.)

I don't think it's possible to solve this. Either you have a system with perfect security, and that requires immutable authority, or you have a system that is adaptable, and then you risk it will succumb to a fatal flaw due to maladaptation.

(This is not really that new, see Dr. Strangelove, or cybernetics idea that no system can perfectly control itself.)
I am once again advocating for federalized zoning rules. The federal government should invalidate all local punitive zoning regulations under the dormant commerce clause. Housing is interstate commerce. This is the same basis that enables the Fair Housing Act, and of course, the FCC's ruling on Chicago satellite dishes.

Individuals should have a right to build exactly what they want on their own property, and to charge whatever they want to tenants.

If your neighbors object, they can buy you out.

If the city thinks we need rent controlled housing, they can buy you out, put up a tenement and charge exactly what they want.

This whole city council telling you how much you can list your place for and what color your facade can be is wild. If it meets code, you should have a right to build it, and charge whatever you want.

The regulatory capture by existing landowners has to end. It's utterly un-American.
Will this teach them anything? This is a very serious question and I don't know the answer. For the people who didn't vote, will they learn that voting matters? For the people who did, will they learn anything? I remember countless videos of them before the election saying "oh, he won't do that, he's just saying that to get votes" ... well, he will do that. And more. Are they ok with it??
There is money in them doing this nasty nonsense. The cost of something like a cellular connection will only keep dropping. Therefore, it is just a matter of time before such devices can connect to the internet without any way for the user to prevent them. Nobody is going to Faraday cage their house.
I have over time come to believe that quite a lot of high-level decisions are made, not in order to make the company run better, but rather in order to make the Powerpoint slides look tidier. Team A, B, and C would confuse and annoy the typical person making decisions.
I became an Amiga user starting in the mid-1980s and my recollection was that even by the time of the introduction of the 500 and 2000 (my Amiga 2000 is still sitting downstairs in the basement on a shelf next to my 1000) Amiga was already well behind the PC and Macintosh in terms of users by the mid-to-late 80s.

It was a hobby programmer's platform because it had become a hobby. Like the Saab of computers (I also owned a Saab).

Somewhere to play games and write demos in the evening after having spent all day at work in MPW or Turbo Pascal.

It is impossible to know, due to obfuscation and (honestly) lying, how many Amigas were ever sold but it was somewhere between 3-7 million in total for all models worldwide from birth to death.

Ahoy tried to figure it out- Nobody Knows How Many Amigas Commodore Sold: https://www.youtube.com/watch?v=AXCWYKSjHnI

The Amiga's adoring fans were/are extremely vocal, but comparatively few in numbers.

Users often also had to become hobby programmers because the market was so small and they had to write their own programs to implement software that was unavailable on the platform- this was the case with me.

In the US, at least. Europe, Germany in particular, was probably a different story.

I imagine BeOS (Damn, I'm a winner in picking niche OSes) had the highest ever percentage of hobby programmers because EVERYBODY other than GoBe was a hobbyist on that platform.
I use Shopify and it’s pretty dang nice, especially the shipping discounts you get as a smaller business. I’m not sure of many alternatives though, I just knew it by name so I chose it - there might be better ones out there.
I see, thanks for the clarification.

Yes, that’s true - the current notion of instructions and data are too intertwined to allow a pure data construct.

I can imagine an API-level option for either a data message, or a data content block within an image (similarly to how images are sent). From the models perspective, probably input with specific delimiters, and then training to utterly ignore all instructions within that.

It’s an interesting idea, I wonder how effective it would be.
Ask HN: What are some neat or useful equations you know?
Something worth saving in a programmable calculator, like Naismith's Rule [1] or calculating the day of week for any date [2].

1: https://en.wikipedia.org/wiki/Naismith%27s_rule

2: https://cs.uwaterloo.ca/~alopez-o/math-faq/node73.html
The other problem is that the position they “rest” at can depend on how they are actuated. If you release something held north, it may rest different than if you release held east.
I don't think they mean "knowledge" when they talk about "intelligence." LLMs are definitely not knowledge bases. They can transform information given to them in impressive ways, but asking a raw (non-RAG-enabled) LLM to provide its own information will probably always be a mistake.
The feeling of configuring my new shiny laptop is pretty similar to the feeling of learning to use my first logarithmic ruler. But it all started with my granny's abacus.
I like the idea of CVSS, but it's definitely less precise than I'd like as-is. e.g. I've found that most issues which I would normally think of as low-severity get bumped up to medium by CVSS just for being network-based attack vectors, even if the actual issue is extremely edge case, extremely complex and/or computationally expensive to exploit, or not clearly exploitable at all.
I think one of the growing threats lately in the community has been over malicious client-side javascript, especially when the client handles end-to-end encrypted content (used on sites like Proton, MEGA etc.), so requiring users to trust Google with the contents of these client pages, and by extension the emails themselves, seems (in my opinion) to defeat the entire point of this feature.

Some work in this area has been done in the form of browser extensions that are used to verify signed assets delivered to the client:

https://github.com/freedomofpress/webcat

https://github.com/tasn/webext-signed-pages

https://github.com/jahed/webverify

https://github.com/facebookincubator/meta-code-verify

But unfortunately for now, none of these are seeing wide adoption and this remains an unsolved issue. It also does not require anyone to use known-good, audited and verified open-source components, meaning even if the client code is signed, it can still be malicious... there must be a greater reason to trust the code than just "trust me bro".
Remember when the Gumroad account on Twitter doxed someone to win an argument?

When someone shows you who they are, believe them the first time.
Two things can be true at the same time:

1. Model "performance" judged by proxy metrics of intelligence have improved significantly over the past two years.

2. These capabilities are yet to be stitched together in the most appropriate manner for the cybersecurity scenarios the author is talking about.

In my experience, the best usage of Transformer models has come from a deep integration into an appropriate workflow. They do not (yet) replace the new exploration part of a workflow, but they are very scarily performant at following mid level reasoning assertions in a massively parallelized manner.

The question you should be asking yourself is if you can break down your task into however many small chunks that are constrained by feasiility in time to process , chunk those up into appropriate buckets or even better, place them in-order as though you were doing those steps with your expertise - an extension of self. Here's how the two approaches differ:

"Find vulnerabilities in this code" -> This will saturate across all models because the intent behind this mission is vast and loosely defined, while the outcome is expected to be narrow.

"
(a)This piece of code should be doing x, what areas is it affecting, lets draw up a perimeter
(b) Here is the dependency graph of things upstream and downstream of x, lets spawn a collection of thinking chains to evaluate each one for risk based on the most recent change . . .
(b[n]) Where is this likely to fail
(c) (Next step that a pentester/cybersecurity researcher would take)
"

This has been trial and error in my experience but it has worked great in domains such as financial trading and decision support where experts in the field help sketch out the general framework of the process where reasoning support is needed and constantly iterate as though it is an extension of their selves.
Java reflection can load classes without initializing them, so no untrusted code would have to be executed at that point.
IIRC it is just having locks with exclusive constructors, which take previous locks’ guards (by ownership?).

That way you can never lock lock B if you have not received a guard aka lock from lock A prior. Ensured on the type level.

I suppose doing this at scale is a real challenge.
You are of course correct that fact checking is not sufficient to protect us from all the ways that a journalistic work could mislead. But it does help when they are based on lies. As in the article this discussion is happening under. It helps address that problem, specifically. It seems like a strange reaction to say that this example of a lie being uncovered makes you less trustful of fact checking.

In addition to that, I am not sure if you have ever worked with an independent fact checker, but they very much do make an effort to point out misleading, cherry-picked, and out of context information.
Sadly, in the US measles vaccination rates have been falling in many states:

https://www.kff.org/policy-watch/childhood-vaccination-rates...

I think the overall nationwide rate is still above 90%, but 95% vaccination rates are the goal with measles given the extremely high R_0.
Why not? Objectively speaking LLMs are artificial intelligent. Just because it's not human level intelligence doesn't mean it's not intelligent.
Frankly the overarching story about evals (which receives very little coverage) is how much gaming is going on. On the recent USAMO 2025, SOTA models scored 5%, despite claiming silver/gold in IMOs. And ARC-AGI: one very easy way to "solve" it is to generate masses of synthetic examples by extrapolating the basic rules of ARC AGI questions and train it on that.
Lemon Squeezy is excellent
Instant 360 vision doesn’t guarantee awareness. Most crashes happen in perfect conditions.
You can pair these together with the Storyteller app to create an epub3 with the audio embedded and aligned to have a whispersync-esque experience
Self publishing doesn't work because there is no filter for quality or editing.
>Absolutely as soon as we fall into secret police and citizens being taken in the night and put in camps or falling out of windows, that's the line for me

We've been there since the Floyd protests, at least.
I liked M. Waldrop's book: The Dream Machine

https://press.stripe.com/the-dream-machine
Europe is full of oligarchs, and has less class mobility than the US. The history of Europe is a history of oligarchs throwing peasants at each other.

A middle-class lifestyle when one doesn't have to spend on the military might fool you into thinking that Europe is egalitarian (everybody looks healthy), and looking egalitarian can look like a lack of corruption if your glasses are dirty. Meanwhile, there are families that have been controlling that continent for hundreds of years.

The funny thing about the European rearmament bluff is that any weapons bought by Europe are eventually going to be aimed at other Europeans. It isn't that Europe needs to defend itself from the outside, it's that Europeans need to be protected from each other.
A few months ago, I caught Gumroad trying to roll out MOR (Merchant Operator of Record) on Twitter and immediately called them out on it. They were attempting to launch this feature before it was even completed.

They were internally rolling it out globally, even for parts of the world without a taxation system to collect on. Nevertheless, Gumroad was still planning to apply these charges. This was despite the fact that there are countless existing and affordable platforms, 100,000 times more developed—that could seamlessly integrate with Gumroad and already have this system in place. However, they decided to build it themselves.

Why? I’m not entirely sure, but I’m willing to bet it has something to do with Sahil taking a position at DOGE and perhaps an effort to obscure payment activity.

Why else? All the other scaled and fully built systems are likely to face heavy scrutiny over the next 24 months. And if a system is "still being built" or "unfinished," I guess it’s much harder to comply with regulators or provide data in response to FOIA requests, isn’t it?

things that make you go hmmmmm.
Soon to be announced "Quake PAK files identified carrying malware, critical 10/10 vulnerability"
Eventually the cost of a 5G module and data plan will be low enough that these appliances won't need any help to phone home.
Any information found in a web search about Newman will be available in the training set (more or less). It's almost certainly a problem of alignment / "safety" causing this issue.
I understand my likely longevity to be between 60 and 100 years. When I talk about my inevitable death, I fully expect it to occur sometime in the next 40 years. If it does not happen after another 60 years, I may be forced to re-evaluate my mortal status. Until then, my death is inevitable ... and a completely useless analogy to a national debt driven currency collapse.
> manufacturing startups

Oxymoron? VC money chases high growth, high margin businesses.

How would a manufacturing business fit the VC funded model?

Aside: article with an interesting take on VC -- unfortunately however with an extremely long-winded intro. https://pivotal.substack.com/p/making-markets-in-time
I mean... most businesses, particularly small businesses and startups, aren't exactly doing brain surgery on a rocketship.

It’s pretty likely that they have extremely dull problems like "running an inbound call center is a lot of work" or "people keep having their mail stolen and/or lying that they did" that "more smarter gpus" won't solve
Not an expert but my impression is that the title and intro are worded in a highly misleading manner.

IIUC they're transforming the data before compressing it. Also IIUC this is an established method.

Because of the nature of the data and the transform involved, you can get reasonable results with random numbers. That's already been done, but this work brute forces seeds to optimize the compression ratio and then derives the transform on the fly from the seed in order to save on memory bandwidth.

I feel like (again, non-expert) there are much deeper implications about current ML models here. The fact that a randomized transform can have this sort of impact seems to imply that there's much less information encoded by the data than we otherwise might expect given its sheer size.

Regarding Pi. You can't encode arbitrary data using arbitrary sequences and expect to come out ahead on average. But you can encode specific data using algorithms that exhibit specific behavior.
Ironically though an LLM powered search engine (some word about being perplexed) is becoming way better than the undisputed king of traditional search engines (something oogle)
I suspect that you are literally the only person on this planet who would find this to be funny enough for Apple to waste the time of a dozen AI Researchers, Meta, arXiv and Apple Legal who vet everything.
> During your lifetime the US economic and political status in the world has been on the rise.

And yet ... various people, mostly republicans, have spent a good part of my lifetime telling us that the sky is about to fall in.

It may yet fall. But they are starting to seem more like boys that like to cry wolf than prophets.