skysight-inc/HackerNews huggingface dataset:
What if stealthy designs and coatings get replaced by active RF stealth (where the plane being targeted by the radar emits RF that makes it look like it is not there?)

Would an F15 EX with such a system be the ideal fighter for 2030?
“The center of mathematics shifted quickly during the Nazi era and in the wake of World War II. Courant, Weyl and others helped move it to the U.K. and the U.S., where most of the top-ranked mathematics programs are located today.”

One of many instances in history where a city’s rise to prominence was kicked off by political turmoil or religious persecution in the leading city of the previous era. For example: immigration of merchants and weavers from Belgium to the Netherlands following Spanish occupation and the Fall of Antwerp, Huguenot emigration from France during the French Wars of Religion, etc.

When trying to answer the question of why a certain city/country/company started becoming successful, it’s often a good starting point to ask who moved there and what skills and experience did they bring, rather than mistaking it as a static group of individuals.

Another corollary: it really pays to be a tolerant, stable and welcoming country. When other countries do stupid things you can benefit from an inflow of talent and experience.
when models are cheap- where is the money? I don’t want some third party having access to my data- I want to self host (on-prem or in cloud)
Oh 100% keep it fun, I only mention this info in case it helps (I had planned to make something myself but only got as far as a bash script, which still was very useful, probably saving 1h+ from just the three videos above)
> According to Brian Spear, whose company handled the chemical filtration of the pools used for U.S. Olympic Swim Trials, the potent smell associated with swimming pools is the byproduct of odorless chlorine reacting with organic compounds in the water, like hair or dead skin. Or urine.

Interesting...so if a pool "smells like chlorine," that means it's very dirty?
AI blockchain 5G IoT ML self driving are a few trends I’ve seen in the last 10-15 years or so. I was too young to witness things like dotcom bubble but the theme remains the same.

Everytime something becomes popular there is always the ‘you got a hammer so now everything is a nail’ problem. Eventually the trend filters out the non sense applications and only the really important and impactful applications stick around.

Humans never change. Neither in stock markets nor otherwise. Everyone falls for the same things again and again.
> And in Cervantes case, her doctor simply testified it was a he said she said and he pretty promised she consented.

Step-daughter was involved in a car accident at a lighted intersection. No cameras, no witnesses, nothing, just her in her car, and the other driver in his.

Police officer: "Did you have a green light?"

Step-daughter: "Yes, I had a green light."

He goes over to the other driver, and is back within two minutes. "The other driver said he definitely had a green light, so I'm issuing you a citation for failure to obey a traffic signal."
The analogy I like best is that the economy functions like a slime mold. When it senses a chemical gradient that indicates food in some direction it grows out in a very wide search pattern, expanding a lot of resources to move that way. When it finds the actual food, most of the growth withers away and you're left with just a path to the food.
> I don’t think it’s a bubble.

> I think we are no where close to peak bubble.

That said, you're in agreement with the analysts:

“Despite its expensive price tag, the technology is nowhere near where it needs to be in order to be useful,”

Anyway, the issue (I see) is that the value added by these features is marginal and does not make up for the huge amount of investment. Please, as a thought experiment, how exactly is adding LLMs to the chat history would make up for Slack's investments in LLMs? Would it enable it to gain so much more market share that investors would get a good return? What if models become so cheap and capable that everyone has LLMs for their chat history? What then? Where will the return of investment come from?
What a disaster Lightroom has been. They launched new Lightroom and renamed old Lightroom to Lightroom Classic. New Lightroom was missing a lot of features but was generally faster and more stable so I switched over. Then somehow Adobe decided they would refocus back on Lightroom Classic so I up and made the re-switch. It was a waste of time and money for everyone involved.
> My mom got a "pizza" recipe from an elderly friend, and this "pizza" was basically a sauerkraut quiche with cheese and ketchup on top

Of course. Polish pizza has to have cabbage.

We made it in a rectangular tray in the oven and it used pita-like spongy dough. My mom got a better recipe using dough mixed with cheese made from maturated farmers' sheep's cheese that is found in the Balkans, at farmers' markets. There's a dry or a creamy version and looks like this:

https://www.etsy.com/listing/1258003877/mihalic-cheese-natur...

The dryer version is minced and kneaded like dough to obtain the cheese that you mix in the dough.

One would pre bake the dough and then put ground meat mixed with ground tomatoes or tomato slices or thick tomato stock, mushrooms and maybe some spinach for something green. Then you'd bake the whole thing.

Actually pizza was originally shepards' pie, but the Italians also put tomato sauce on it, their cheese was mozarella and spiced it with basil, of course. They took it with them to the US and the Americans loved it. So contemporary pizza is an Italian American food, because it got really popular in the US. Just like spaghetti alla carbonara, where the US soldiers stationed in Sicily during WW2 would eat their ham and eggs mixed with pasta for breakfast, then went along their business bombing Axis countries using the B17 Flying Fortress.
Everything is "easy" when someone else is doing it for you. Results are best when you develop and apply your own expertise to a problem, but it's not feasible to do that for every problem domain -- relying on others is often important.

I'ts just that if I'm going to rely on someone else, I'd prefer for that someone else to be one of the people who has developed and applied their own expertise to that problem domain, rather than a statistical model that only actually knows how likely words are to appear in proximity to each other, and has no capacity to validate its probabilistic inferences against the outside world.
In terms of GPD the US was the world's largest economy well before World War I. Europe choosing to self-immolate twice before mid-century only served to widen the gap.
Totally agree here. In my opinion, though, a UBI won't help with those and could actually hurt. We continue to quantify our lives to the point where the government can put a price on the products they deem me to be entitled to.

I'm not totally sold on Iain McGilchrist's specific analogy of the brain hemispheres, but his underlying point is spot on. In his model, we continue to make our world more and more left-brained (analytical) and we're losing the way of seeing the world required for art, community, etc. I expect a UBI would just make that worse, further quantifying our lives and reinforcing the idea that we're all cogs in a machine that can purr like a kitten if we just do as we're told and avoid thinking critically or differently.
It increases short term productivity, yes, long term, not so much.

What I started to notice, and I think some people on HN have noticed already before me, is that producing lines of code is faster. Much faster, even, if examples are already in the knowledge base. This means that "rolling your own" has never been easier. So, we end up with the same solution, replicated many times in the code.

So, now, programmers are producing code faster than reviewers can review. Even the authors of this GPT assisted pile of code may not read or even fully understand it.

I think the critical thing missing is code duplication detection. I know some tools are available but I have yet to see one that does its job satisfactorilly. If, however, that does not get built in soon, then companies will start to see that AI causes people to produce lots of unmaintainable/duplicated content and will start to turn away.
The tech is super interesting and useful, but it’s also becoming very commoditized. Those selling compute win but most of these AI startups don’t have a viable business plan. I wouldn’t call the tech “a bubble” but the hype around AI startups and their valuation? Massive bubble ready to pop hard.
Reference? This tells a quite different story: https://ourworldindata.org/working-hours

And talking about benefits, would you claim that life 50 years ago was the same for the average citizen as today? Because if not, to me it seems that people work less (see chart) for more (see what you have).
Private companies existed, although there were less. IFAIR restaurants as you may know were less common. Usually in hotels, next to train stations, in gov buildings, tourist shelters and so on. Often run by gov-owned networks. You required a nice place to drink vodka while discussing how to screw others, right? If you had dollars you could buy some western goods in state owned stores.

There were some bistros-like places, where menu was simplified and there were no waiters. We call them Milk Bars, you know, pierogi and soup. It's actually sad there is a shortage of such cheap places nowadays.

Larger work places often had their own cafeterias with basic food for employees. Schools often as well. You didn't really go to a restaurant just to eat. There had to be a reason.

They handled shortages by connections, cheating and poor quality.

Can't really tell who used restaurants as I was too young, but recall official events like wedding parties were a thing. Party members, politicians, priests and crooks had to drink somewhere as well. I recall it was customary to do business using vodka as well, more than modern sales dinners - get shitfaces and yell at each other before shaking hands. It was a thing also after communism, but less so. If you had a deal to make, it was almost expected to discuss that with way too much vodka. Normalization of alcoholism is a stench that we still try to wash off.

I don't miss those times, I still can smell those cheap cigarettes that everyone smoked EVERYWHERE. No-one cared if children were there. Not having money was less of a problem, empty stores were. If you didn't knew a lot of people, you had nothing. You had disgusting green bathroom with tiles like a hospital, for 30 years. Yet you were happy, at least they delivered tiles that one time and your friend told you quickly.
Solomon was the CEO of dotCloud. Sébastien the CTO. I (François-Xavier "bombela") was one of the first software engineer employee. Along with Andrea, Jérôme and Louis with Sam as our manager.

When it became clear that we had reached the limits of our existing buggy code, I pushed hard to get to work on the replacement. After what seemed an eternity pitching Solomon, I was finally allowed to work on it.

I wrote the design doc of Docker with the help of Andrea, Jérôme, Louis and Gabriel. I implemented the prototype in Python. To this day, three of us will still argue who really choose the name Docker. We are very good friends.

Not long after, I left the company. Because I was under paid, I could barely make ends meet at the time. I had to borrow money to see a doctor. I did not mind, it's the start-up life, am I right? I worked 80h/week happy. But then I realized not everybody was under paid. And other companies would pay me more for less work. When I asked, Solomon refused to pay me more, and after being denied three times, I quit. I never got any shares. I couldn't afford to buy the options anyways, and they had delayed the paperwork multiple times, such that I technically quit before the vesting started. I went to Google, were they showered me with cash in comparison. The next morning after my departure from dotCloud, Solomon raised everybody's salary. My friends took me to dinner to celebrate my sacrifice.

I am not privy to all the details after I left. But here is what I know. Andrea rewrote Docker in Go. It was made open source. Solomon even asked me to participate as an external contributor. For free of course. As a gesture to let me add my name to the commit history. Probably the biggest insult I ever received in life.

dotCloud was renamed Docker. The original dotCloud business was sold to a German company for the customers.

I believe Solomon saw the potential of Docker for all, and not merely an internal detail within a distributed system designed to orchestrate containers. My vision was extremely limited, and focused on reducing the suffering of my oncall duties.

A side story: the German company transfered to me the trademark of zerorpc, the open source network library powering dotCloud. I had done a lot of work on it. Solomon refused to hand me off the empty github/zerorpc group he was squatting. He offered to grant me access but retain control. I went for github/0rpc instead. I did not have time nor money to spend on a lawyer.

By this point you might think I have a vendetta against a specific individual. I can assure you that I tried hard to paint things fairly with a flattering light.
You give Adobe your SSN??
I think it would have been around 1991 that my city in England got its first pizza outlet. Not long after it got its first McDonald's. Probably around the time the Turtles were appearing in the media. Of course, in England they were officially Teenage Mutant Hero Turtles as "ninja" was a naughty word.

It wasn't like we were lacking in Italian food. Pasta was a major staple at our home.

My only memory of pizza prior to that was a trip to Boston, MA, 1988 (?) where I accidentally ordered an entire "small" pizza from one of those places that I noticed (in hindsight) everyone was ordering by the slice. The staff all looked at me funny and double-checked I really wanted a "small" pizza. I thought they meant it was going to be too tiny for a husky chap like me. This pizza when it arrived was enough to feed a small British family for a week :D
uftrace: Function graph tracer for C/C++/Rust/Python
Yes I do. I expect chip makers such as TSMC and Nvidia to massively profit from them because people will need a lot more chips now and in the future.

I expect companies who integrate well with them to increase their value. For example, companies with proprietary data to integrate an LLM with. Another example could be a company that develops very capable agents.

Wallstreet cares about stocks. If models reach a point where it’s cheap, capable, and fast, why wouldn’t the S&P500 take off because of the huge boost to productivity? And some companies will take off more. That’s normal.
Auto-correct that just fixes the mistake instead of giving me the red-line
so i can just keep going, exxentially typing approx charxters and the ai just fufgers it out

anyone seen this?
> Why should it cost to live?

Because that's how life works. With sufficient energy input into a system, the system can sustain complexity. Sun -> single-celled life -> plants -> animals. The food chain is an economy of energy. Money is a proxy for many different kinds of energy. It will never be cost-free to live, not for single-celled life, not for us.

A Universal Basic Income absent substantial other changes in our economy, would be a disaster because we no longer have a closed economy. It would simply flow out to other nations. UBI + open borders + bureaucratic dictatorship sends us right back into serfdom...

There used to be restrictions on the number of serfs allowed for a single geography, because the lord was expected to provide for them (schools and hospitals... etc.). We're replacing an oligarch with a bureaucracy which is just a transitive oligarchy as the bureaucracies ultimately get captured (Big Tech, Big Oil, Big you-name-it). All good intentions erode over time to neglect and malice, especially in systems where nepotism and dynasty rule instead of merit.

"A government big enough to give you everything you want, is big enough to take away everything you have."
I believe the previous comment is referencing the book Getting to Yes, which I think is fairly standard curriculum in business school. I have not read it, but it's on my list:

https://en.wikipedia.org/wiki/Getting_to_Yes
> In Enterprise networks this is a serious issue. We need static IP, we need well known subnets, because we run FWs everywhere.

Yes, and there are tools and procedures for that:

* https://datatracker.ietf.org/doc/html/rfc9099

But as the old saying goes: easy things should be simple, and hard things should be possible. I think IPv6 does that.
The dot-com bubble was still very much a bubble even though the value creation potential of the internet was incomprehensibly immense
Grim can take screenshots, slurp is used for selection. It's a rough equivalent to Maim for Wayland.
The bubble is in the very concept of an "AI company". Even OpenAI is not obviously on a path to profit [0]. I don't see any hope for the many companies whose business plan is "wrap OpenAI and use it to solve all the problems for sector Y!"

Where we will see returns on LLMs and where we will see useful applications aren't in AI companies, they will be in established players integrating these tools into their existing platforms. This isn't like past tech advances that have led to widespread disruption as established players failed to keep up. For one thing, the established players are quite obviously determined to keep up this time and are jumping on LLMs if anything faster than it's worth.

For another, it's not obvious to me that AI by itself can be a product. AI solutions need data to be useful, and the only people who have the data needed to solve the problems that exist that exist in sector Y is the established players.

So yes, I think there's a bubble, and it's going to pop. But that doesn't mean we won't see advances in the tools.

[0] https://news.ycombinator.com/item?id=41058616
The added value has not been marginal in my life. I'm paying for a few subscriptions to AI services. They make me significantly more productive in various ways. It is possible to quantify.
the correct answer I think is cloudflare? I'm a little wary of internet homogenization like this but I haven't the time to worry about this sort of thing for my spare one-off domains
> “There was a dot-com bubble, according to Goldman Sachs, because prices went up and prices went down. According to me, internet traffic didn’t go down at all.”

An idea from macro investing [1] that has stuck with me: don't overindex on the last crisis (or watershed moment more generally). All throughout the 2010s a lot of investors were implicitly assuming that if another crisis hit, it would look like 2008. The 2020 crisis proved to unfold in a very different ways than 2008, at least in terms of where you were best off putting your money.

Which brings me back to the Khosla quote from the start of this comment. A lot of people seem to be overindexing on the dot-com boom, assuming that this AI summer will pan out the same way.

I am not making a directional call here. All I'm suggesting is to stay humble about this trite yet profound truth: the future often unfolds in unexpected ways.

[1] Shout out to The Macro Tourist
Maybe I should have said more prosecution/law-enforcement friendly, you're right.
The server you linked seems to be down, here's an archived version:

https://web.archive.org/web/20240529033339/https://www.mania...
...while maintaining that the non-upgraded model is still safe.
Graduated early 2000s. Gender neutral “he” was taught as correct throughout primary and secondary school, neither “they” nor “she” was permitted. “She” didn’t become common in writing-in-the-wild until after 2010. You’d see it in academic writing occasionally before then, or explicitly feminist pieces maybe.

“They” was more common but came off as very informal or low-register (to those taught the other way, at least).

It did take me a long time to stop going “wait, who? I missed who we’re talking about” and start searching backwards in the text when encountering gender-neutral “she”. Did indeed make things hard to read for years.
Kosla: "The rush into AI might cause a financial bubble where investors lose money, but that doesn’t mean the underlying technology won’t continue to grow and become more important. There was a dot-com bubble, according to Goldman Sachs, because prices went up and prices went down. According to me, internet traffic didn’t go down at all.”

That's a good way to look at it. Many of the companies throwing money at AI are going to lose money. For two reasons: 1) it doesn't work well enough yet, and 2) it's getting cheaper, so more people can do it. Most infrastructure stuff ends up as a low-margin business.

Look at AI-guided autonomous vehicles. First demo, 1980s. First major successes, around 2005. First successful commercial use, around 2023. Profitability, ?. Probably half a century from demo to profitability.
I am always amazed when interacting with some people how much it "helps" them to ask a (couple of) questions to LLM rather than (just) using google. I (am many IT friends) never need that. But there are many "low skilled workers" (and that can include people not being able to use technology) for which an LLM will improve their productivity.

To the point I think I am the exception, and that's why LLM will have a larger impact than I would estimate.
The problem is: None of the “nice” features you mentioned worth $10TB which is this bubble gets valued now.
the same specific interface used to contact the external server
https://www.theverge.com/2024/7/26/24206719/microsoft-window...

> the software giant is calling for changes to Windows and has dropped some subtle hints that it’s prioritizing making Windows more resilient and is willing to prevent security vendors like CrowdStrike from accessing the Windows kernel.. calls out a new VBS enclaves feature “that does not require kernel mode drivers to be tamper resistant” and Microsoft’s Azure Attestation service as examples of recent security innovations.
I guess it depends on what level of finesse you are aiming for. My mom makes a pretty good pizza (better than many commercials joints) in regular home gas oven. But the work is there: you need to knead the dough properly and let it rest for a day.
Of course, an Italian might scoff at the result.
Show HN: A football/soccer pass visualizer made with Three.js
I've been working on a football pass visualiser for the past week.

It uses open data from StatsBomb to analyse and visualise passing patterns, allowing users to explore and filter the data by pass distance, team and players.

Give it a try and excuse me for any found bugs in advance. Thank you!
My Favorite Tools and Techniques for Procedural Gamedev
I agree with most of what you say but I think it might be a bubble. Compare to the internet in 1999. Everyone could see that it wasn't going away, and had immense potential. Money was pouring in to ideas that had no paying customers and would not really be workable at scale for another decade or more. Most of it was lost because the vision was too far ahead of the technical and practical reality at the time.

We're in dial-up days of AI but investors are ignoring the reality that it's still way too early to know what it will ultimately look like and what customers will want to pay for. But FOMO rules.
IMo that’s kind of like saying cloud servers aren’t a product. Tons of companies need servers, but nobody wants to manage that. AI is similar in my mind, many companies will want (insert some use case for llms) but don’t want to manage it.