skysight-inc/HackerNews huggingface dataset:
In the US, candidates to become physicians go through a 5-7 year residency which has low pay, dangerously long hours, and has a supervisor watching over them who can flunk them for failing to meet their standards. That's _after_ a normal bachelors degree and then medical school. Does that sound like something anyone would like to go through to become a software developer just to avoid technical interviews?
What's the difference between this and say azure vent and configuring that with private endpoints
This seems to be the opposite of what happens in reality.
So in other words, none of the fired workers.
Isn't it better to 1.5x in 6 months on 40 million than 3x in 2 years on 160?

By definition focusing on things that don't grow your business because you have way too much money in the bank is going to be worse for your business than being forced to focus because you've only got a year of runway.
Because AIs can be faster and more exhaustive than you'll ever be. It's really good at those needle in the haystack type searches that would take ages doing manually.

You don't want AIs reproducing information necessarily. But they are really great at interpreting your query, digging out the best links and references using a search engine and then coming up with an answer complete with links that back that up.

I'd suggest just giving perplexity a spin for a few days. Just go nuts with it; don't hold back. It's one of the better AI driven search tools I've seen.
I don't know the exact word for this case, but sometimes you want the surrounding information to what you're looking for. Often I skim documentations, books, articles,... not in search for a specific answer but to get the overview of what it discusses. I don't need a summary of a table of contents. But it's a very good tool for quickly locating some specific information. Something like

Language Implementation Patterns (the book) |> Analyzing Languages (the part) |> Tracking and Identifying Program Symbols (the chapter) |> Resolving Symbols (the section)

or

Unit Testing: Principles, Practices,and Patterns (the book) |> Making your tests work for you (the part) |> Mocks and test fragility (the chapter) |> The relationship between mocks and test fragility (the section) |> Intra-system vs. inter-system communications

or

Python 3.13.3 Documentation (docs.python.org) |> The Python Standard Library |> Text Processing Services |> string
Avi Eisenberg returned most of the money he manipulated from Mango Markets and he was still prosecuted and convicted.
That’s hilarious, but at least Llama was trained on libgen, an archive of most books and publications by humanity, no? Except for the ones which were not digitized I guess

So there is probably a big pile of Reddit comments, twitter messages, and libgen and arxiv PDFs I imagine

So there is some shit, but also painstakingly encoded knowledge (ie writing), and yeah it is miraculous that LLMs are right as often as they are
Simpler - eg. A table of some numbers, with a question to quickly compute averages of a filtered set, after performing some quick boolean logic to filter them.
Yakread's Ranking Algorithm
Which Gemini? I asked 2.5 Pro and this was the result-

https://g.co/gemini/share/b5e5ea80548b

Seems entirely reasonable to me. Didn't have to trick it into providing citations.
Will A.I. Save the News?
Information and data will never deliver creativity
Or maybe program synthesis combined by LLMs might be the way?
There's a TeX package that, among many other features, detects rivers: https://mirrors.ibiblio.org/pub/mirrors/CTAN/macros/latex/co...

The intent here is that the document author is informed that their text contains rivers, and responds by tweaking the wording until they land on something that doesn't have them.

Of course, for a browser engine this is a complete nonstarter; a useful feature for dealing with rivers would require not just detecting them but automatically removing them, without changing the text content. I'm not aware of any existing software that does this, but I've found one proposed list of exploratory directions that could make a decent starting point for anyone who wanted to build this: https://tex.stackexchange.com/a/736578
The sad thing is there are actual issues and there is a kernel of truth to the feeling that men are discriminated against in some cases (as of course are women - and let’s not go anywhere near transgender people) and life isn’t blind to gender - especially when it comes to custody decisions, but also in areas like justice and crime (are jail populations 50:50?), educational outcomes (boys do worse than girls), mental health (check suicide figures)

Sadly posters like this do so much damage to equality discourse that it’s unlikely to ever equalise until this vitriol is lost in the past like the prejudice to left handed people was.
Might just be regional. An insanely high proportion of my rural neighbors are people who did 20 years in the military and started receiving benefits around age 40 and were able to use those benefits to supplement a homestead. How many private sector people drew a pension at 40 and then double dipped? I'm not damning them for it, it's not like many in the military didn't work hard for that money, but it's incredibly difficult for a working class 40 year old these days to fuck off into a rural area and buy a homestead with rural salaries without something functioning as a substitute to that backing it up.

In any case in my rural homestead region there are mainly three classes

1) .gov pensioners
2) successful professionals
3) inherited property

The key to government pensions here I think is that they get benefits early enough in life that they are young enough to build and live a homestead life. At age 65+ you might be able to maintain an established property but buying something affordable (read: rough or vacant land) out and getting it up and running would be pretty rough for most at that age.
Not only the "expectation" but lots of VCs have preference built in that guarantees them huge returns on basically any liquidity event. It's probably not as likely in a Series C like this but 2-3x preference is not unheard of. There are few investment vehicles where for every $1 you put in you're guaranteed to get the first $3 made back first.
so they didn't want to pay for AWS CloudWatch [1]; decided to roll their in-house network flow log collection; and had to re-implement attribution?

i wonder how many hundreds of thousands of dollars network flow logs cost them; obviously at some point it is going to be cheaper to re-implement monitoring in-house.

[1]: https://youtu.be/8C9xNVYbCVk?feature=shared&t=1685
repeated for thread continuity:

The West is not The World. There are over a billion Chinese, Indians, Africans…

Words mean things. Who said tree hugger? If you are an apex predator living in an increasingly cloudy tank, there is an obvious solution to the cloudyness.
I'll frame that in a more European way for you: Preventative care and managing contagious diseases is cheaper in the long run.

Framing it as "not profitable" is conservative messaging trying to drown out the idea that externalities exist.
You could always just use cash then Visa wouldn't know.
Maybe that's part of it?...my sibling has a toddler and they use it for a lot of children's shows. Conversely, my mother watches it often too (not for kids shows!)
Saw vorq.ai today, interesting approach for a parked domain
You're not wrong to think Tailscale is primarily a software company, and yes, salaries are a big part of any software company's costs. But it's definitely more complex than just payroll.

A few other things:

1. Go-to-market costs

Even with Tailscale's amazing product-led growth, you eventually hit a ceiling. Scaling into enterprise means real sales and marketing spend—think field sales, events, paid acquisition, content, partnerships, etc. These aren't trivial line items.

2. Enterprise sales motion

Selling to large orgs is a different beast. Longer cycles, custom security reviews, procurement bureaucracy... it all requires dedicated teams. Those teams cost money and take time to ramp.

3. Product and infra

Though Tailscale uses a control-plane-only model (which helps with infra cost), there's still significant R&D investment. As the product footprint grows (ACLs, policy routing, audit logging, device management), you need more engineers, PMs, designers, QA, support. Growth adds complexity.

4. Strategic bets

Companies at this stage often use capital to fund moonshots (like rethinking what secure networking looks like when identity is the core primitive instead of IP addresses). I don't know how they're thinking about it, but it may mean building new standards on top of the duct-taped 1980s-era networking stack the modern Internet still runs on. It's not just product evolution, it's protocol-level reinvention. That kind of standardization and stewardship takes a lot of time and a lot of dollars.

$160M is a big number. But scaling a category-defining infrastructure company isn't cheap and it's about more than just paying engineers.
(La)Tex still seems to have the 'best' results for line breaking:

* https://en.wikipedia.org/wiki/Knuth–Plass_line-breaking_algo...
Windy.com gives you ECMWF. ECMWF has a much stronger model.
Yeah, the same way a car is just a GUI on top of two bikes.
Oh no. That's really too bad. Fingers crossed they'll beat the VC curse because it is so close to perfect as it is right now.
Almost always use search-augmented LLMs now, to infinitely better results. Whether I'm wondering about a movie or looking for information on a programming language feature, or even specifics about niche things, an LLM gets me there much quicker.

Earlier today I was trying to remember the name of the lizard someone tweeted about seeing in a variety store. Google search yielded nothing. Gemini immediately gave me precise details of what I was talking about, it linked to web resources about it.
Trump to Sign Order Aimed at Reviving a Struggling Coal Industry
>no part of our government works

after learning a bit about other countries, i would argue that we are better than most, we just compare ourselves with first world european countries, but even when comparing with USA we are fine in a lot of fronts
The UK is a dystopian nightmare police state at this point.
obligatory "Raising too much money" (Silicon Valley) https://www.youtube.com/watch?v=8ZgfTarNxdY
This does actually look a lot better. Using the inspector to toggle it on and off, “pretty” does look a lot prettier.
I'd be curious how much of this $160 million is immediately allocated to bonuses, founders taking money off the table, increased salaries, employee option pools, etc.
There’s an open source menu bar manager called Ice. Works well. https://icemenubar.app/
409a valuations are made up by independent appraisals, but it’d be quite strange for an investor to agree a share is worth 4 times the appraised value.
OpenSSL 3.5 [LTS] Released
This feels like one of those cases manufactured by conservatives to get to the openly corrupt supreme court so that they can overturn precedent
> They understand what it means if Trump ignores a court order

Do they? Jackson ignoring SCOTUS didn’t trash our republic.

The Court has created precedent for a wide range of abuses. I’m curious for Democratic strategists to start gaming out how they could be deployed.
i give less weight to your opinion than my own. I'm not sure how you misunderstood what i said about clip/blip, as well. I was replying to a comment about "populating the front end with the filename" - the first tokens are weighted higher in the resulting image than the later tokens. And therefore, if you prompt correctly, the filenames will be a very accurate description of the image. Especially danbooru style, you can just split on space and use them as tags, for all practical purposes.

I guess the "convenience" just happened to get ported over from "Auto1111", or it's a coincidence, or
This model was copied from the state of Gujarat in India
> most problems receive little attention (e.g., to find solvable special cases) after being labeled NP-hard.

Since I know quite some people who exactly work on this kind of problem of finding special classes that can be solved in polynomial time, my impression is of course different.

But I think it can be said that if some NP-hard problem is very important in practice and there is no easy way to to get around this problem (i.e. it will also be practically relevant in, say, 15 years), the problem will for sure get a lot more attention.

This is also the reason why some NP-hard problems are much more researched than others.
This is so sick thank you for sharing. I do a lot of Go + DuckDB stuff. I’ve done some janky JS / html/template stuff for charting so this will be fun to play with
This is genocide we're talking about. When IBM participated in the Holocaust, would stopping that be more important, or would the priority be the sanctity of IBM's business meetings?
Buddy I'm using factcheck.org [1]. But keep going with the intellectual condescension - long as you convince yourself that people who disagree are wrong and need help and idiots, you'll never have to leave your comfy little bubble. But you will become increasingly detached from reality.

[1] https://www.factcheck.org/2021/11/how-many-died-as-a-result-...
> often seen the statistic where the US Government at point was almost entirely funded by tariffs

Most old societies were. It’s easy to tax at a limited number of ports. And we didn’t understand comparative advantgae because we didn’t need to; most societies were—most of the time—Malthusian/zero real growth. (You’d also go to war more often. Industrial warfare and nukes sort of birthed the modern trade war.)
>but it makes the used purchases cheaper.

In fact, no, because they will also become less accessible to the less poor, and less poor will start using them longer and will also buy used ones.
GitHub opt-out for LLM training opts me back in after a few tenths of a second
I absolutely love the font. Reminds me of an old encyclopedia I read as a kid. It had 10 chapters, each one discussing a specific theme, like history or physics, and the only thing I remember about it now is its design. Specifically the colors of the chapters. They were memorable. This font is quite similar in its aesthetics, in that I think that might be the only thing I'd remember if I was reading e.g. a book written with it.

Also representing prosody was an interesting idea. Never thought how much more information you could transmit through text by including pitch and loudness information. Not so useful for timing, I believe, because you mostly still speak at 1 syllable per time unit, but sometimes you do slow down.
I have an old fire tv and never tried to stop automatic updates on it, it has become so slow and unresponsive that I'm barely able to switch inputs to use something else. Netflix is the only app that still works on that tv.
Well, the VAX was there before any of these, but I wouldn't call that a "personal machine."

I suppose the argument could be made that the 68000 was first, as both it and MIPS ended up in gaming consoles (Sega Genesis vs. Sony PS2 and Nintendo 64).

However, MIPS eventually scaled to 64-bit, was well-known and heavily exploited in supercomputing applications, and was used to produce the film Jurassic Park. The 68000 had a far dimmer future.

Yes, the x86 line did supplant them all, but only with AMD's help. Had Itanium been Intel's final answer, MIPS might be much stronger today.
They must be busy.
text-wrap: pretty tells the browser to wrap the text so as to make it look pretty. But the CSS standard doesn't specify what exactly that means; it's up to each individual browser to decide what algorithm yields the prettiest results.

Chromium is the only browser engine whose stable channel currently supports text-wrap: pretty. In this post, WebKit is announcing not only that they've implemented it (though not yet in a stable channel), but that they've done so using an algorithm that's better than Chromium's. Their algorithm adjusts for various things that Chromium's currently does not.
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Users Are Getting Scammed Out of Money on Trump's Truth Social
AquaFox: A web browser designed for PowerPC Macs running Mac OS X 10.4
Yep they’re on the list!
That's awesome! I have heard from others that the cards tend to stick around. They usually end up on refrigerators, which vibes with your outcome. Thanks for trying it out!
You can't raise VC money and save it for a rainy day. If VCs wanted their money in a bank they'd just put it in a bank.

If you raise $100M you have to put $100M to work or you'll hear constant shit from your board over it.

If they raised $160M they're going to spend $160M on something. My guess would be a lot of enterprise features and product integrations.
I feel like I have better focus and mood when I have SomaFM's Drone Zone on in the background
https://www.scientificamerican.com/article/artificial-sweete...
Well if the idea is that the lying (to a sane degree) is only necessary to pass the “filter” and that it has limited impact on the candidate’s ability to perform the actual work its not necessarily that straightforward.
Assuming resiscendum is a typo for resciscendum, a better translation of the second half is probably something like: "Now this wonder is useful to learn about everything."
Have you tried matterrank.ai? It might give you want you want, but as a search engine, instead of a chat interface.
I built mal for videogames too over 10 years ago. A friend also did individually. And I know at least 5 other sites that are "mal, but videogames" or have similar features.

Imo the concept is a waste of time until there are APIs for each console/store to fetch user data and automate libraries. Most users don't bother and the few that do already have accounts spread on like 10 different sites for this kind of thing.
Personally these days I just keep csv files of my collection and play history and turn them to HTML via a ssg.Turns out that I don't need anything more than this.

But good luck!
> Is "closed form" here supposed to mean "closed form we can evaluate without needing arbitrary-precision arithmetic"?

You don't need arbitrary-precision arithmetic to evaluate Binet's formula - big integer arithmetic suffices (simply do your calculations in the ring Z[X]/(X^2-X-1) ).
I was about to ask about that, how are / were traditional paper books lined out to prevent this? Surely not by hand. Proprietary software maybe?
Someone Made a 4×4 Honda Prelude by Adding a Second Engine
Tailscale has a single management engine. My understanding is that if the goes your existing traffic will still flow, but new connections won’t be made.
Note that the bike pictured does not have a front brake. So I’m guessing he went back to his starting position at some point to hit the brake pedal. He first probably just rolled off the throttle until the bike got to a much slower speed. “Probably” meaning, it’s what I would have done, having already decided that riding a motorcycle at 150mph in my underwear is a good idea.
No - they are all competing for eyeballs right now. They need to solidify their positions in terms of user habits and behaviors before they start pissing people off.
My point was not addressed to you, but rather to the comments which say that systems like this which are not mainstream are pointless.

The fact that GT is as interoperable and portable as you describe, yet it still receives such comments shows how short-sighted many people in technology are, or have become.

We are in violent agreement :-). I have watched your demos at UKSTUG and my jaw has been on the floor -- very impressive.
I think nowadays they directly use screen share and image recognition like https://interview.sh for example
>LLMs aren't ever going to replace search for that use case, simply because they're never going to be as convenient.

Sounds trivial to integrate an LLM front end with a search engine backend (probably already done), and be able to type "frob language" and it gives you a curated clickable list of the top resources (language website, official tutorial, reference guide, etc) discarding spam and irrelevant search engine results in the process.
It's mainly the way the kid has put himself out there publicly. My mind might change come a years' time, hence the lack of clarity there.
https://www.japantimes.co.jp/news/2025/03/26/japan/station-3...
Or it could be more like the golden age of search engines. It's hard to tell which way it will go because LLMs are a new technology. Some people see only its strengths. Some focus upon its weaknesses. What matters though is the long run, when we get over our initial reactions.
> would flag you internally

And how would they figure that out if you lie by exaggerating your experience and skills and not outright making up entirely false stuff?
yes i understand all that. I was saying the claim is incorrect. My understanding of deepseek is mechanically correct but apparently they use 3B models as experts, per your sibling comment. I don't buy it, regardless of what they put in the paper - 3B models are pretty dumb, and R1 isn't dumb. No amount of shuffling between "dumb" experts will make the output not dumb. it's more likely 32x32B experts, based on the quant sizes i've seen.

A deepseek employee is welcome to correct me.
Actually no, coal is still going to die in the US unless China sells us their coal for dirt cheap.

You get more watts per human labor hour with our abundant natural gas reserves. No matter how cheap you drive labor, it will still be more economical to use that labor to drill wells.

Coal was always dying, especially in the US, because of economic concerns. It's a stupid source of energy.

The fact that anyone in the US even thinks of coal is absurd. There are maybe 60k coal miners in the US. It hasn't mattered in decades.
That used to be the same mix my household used. I’d suggest giving the Reminders app a try as a drop in replacement for Notes. There’s a really handy list template in the Reminders app called Groceries. It’ll auto-group items you add to the list into categories so it’s easier to sweep through the store in one go and not have to double back repeatedly for things you overlooked further down the list.

No idea why it’s tucked into the Reminders app instead of Notes, but it’s been really handy since stumbling on it and a QoL improvement in my household over a generic Apple Notes list.
This doesn't solve all the problems the app mentioned is solving, but if you're using iOS (based on the Apple Notes) - Reminders is oddly a solid grocery list tool:

- It can be shared with others
- It can be updated natively with Siri voice commands ("Hey Siri - Add eggs to grocery list" works out of the box)
- It gives other users notifications when it changes (this is also my major negative)
- It "knows" it's a grocery list and tries to do some smart grouping/labeling (Dairy, Sauces, etc)

I'm just really not sure why that's built into Reminders and not Notes