skysight-inc/HackerNews huggingface dataset:
> I get legislators want uber drivers to earn a living wage, but expecting uber to continue allowing unlimited amount of drivers to be "online", when they have to pay for them is absurd.

Uber gets to choose how many drivers to schedule at a given time. Expecting it to be unable to correctly-ish choose this number, when it's 50% of the work every other company has to do, is what's absurd.
Output quantity consumed (almost) always increases with falling inputs (ie, costs, whether in dollars or GPUs). But for Jevon's paradox to hold, the slope of quantity-consumption-increase-per-falling-costs must exceed a certain threshold. Otherwise, the result is just that quantity consumed increases while quantity of inputs consumed decreases.

Applied to AI and NVIDIA, the result of an increase in the AI-per-GPU on demand for GPUs depends on the demand curve for AI. If the quantity of AI consumed is completely independent of its price, then the result of better efficiency is cheaper AI, no change in AI quantity consumed, and a decrease in the number of GPUs needed. Of course, that's not a realistic scenario.

(I'm using "consumed" as shorthand; we both know that training AIs does not consume GPUs and AIs are also not consumed like apples. I'm using "consumed" rather than the term "demand" because demand has multiple meanings, referring both to a quantity demanded and a bid price, and this would confuse the conversation).

But a scenario that is potentially realistic is that as the efficiency of training/serving AI drops by 90%, the quantity of AI consumed increases by a factor of 5, and the end result is the economy still only needs half as many GPUs as it needed before.

For Jevons paradox to hold, if the efficiency of converting GPUs to AI increases by X, resulting in a decrease in price by 1/X, the quantity of AI consumed must increase by a factor of more than X as a result of that price decrease. That's certainly possible, but it's not guaranteed; we basically have to wait to observe it empirically.

There's also another complication: as the efficiency of producing AI improves, substitutes for datacenter GPUs may become viable. It may be that the total amount of compute hardware required to train and run all this new AI does increase, but big-iron datacenter investments could still be obsoleted by this change because demand shifts to alternative providers that weren't viable when efficiency was low. For example, training or running AIs on smaller clusters or even on mobile devices.

If tech CEOs really believe in Jevons Paradox, it means that last month when they decided to invest $500 billion in GPUs, then this month after learning of DeepSeek, they now realize $500 billion is not enough and they'll need to buy even more GPUs, and pay even more each one. And, well, maybe that's the case. There's no doubt that demand for AI is going to keep growing. But at some point, investment in more GPUs trades off against other investments that are also needed, and the thing the economy is most urgently lacking ceases to be AI.
Settings < Autofill < Click items to autofill from Vault
Meat Without Animals? The Potential of Microorganisms as Protein Sources
My experience is that a "War Room" is just a meeting room, but one where 1. engineers are rounded up to work in (because as we all know, developers type code faster when co-located in a single room under pressure), and 2. where panicked executives occasionally wander in to say things like "How are things going?" and "What's the current status?" and "Do you have an ETA for when we can stop panicking?"
May be, but I never heard about it till I read this article in HN. Sincerely, I didn't even know that alpha-male was related to wolves :-)
Sorry, I'm not real comfortable with this ... nor with Signal in general.

Signal claims to be all about privacy but the app requests access to just about every piece of private info on your phone.
From Douglas Adams (of "Hitchhiker's Guide to the Galaxy" fame)

1. Anything that is in the world when you’re born is normal and ordinary and is just a natural part of the way the world works.

2. Anything that’s invented between when you’re fifteen and thirty-five is new and exciting and revolutionary and you can probably get a career in it.

3. Anything invented after you’re thirty-five is against the natural order of things.
Convenience and portability for people who don't want to use, or aren't going to learn how to use, anything more complex than an app, browser extension, or website.

Accessing a password vault from any arbitrary internet-connected device and browser through the web is also convenient, even if to you or I that serves more as a reminder of how accessible your passwords might become to unauthorized users. Sharing credentials between Bitwarden users is also more convenient.

If you self-host, you can provide those service to friends or family members who don't have your technical aptitude. For teams and businesses, it provides an auditable service with directory integration and other optional enterprise features (SSO, fine-grained access).

All of these are possible without a SaaS, just less convenient to set up. You and I might consider setting up our own personal password management to be a fun and useful project, or at least a trivial time expense compared to the value. When something like Bitwarden provides all of those features and more for $0 to $10/year, even a small time and maintenance burden might not seem worth it to a less technically savvy user.
The question sounds a bit botish. Like the boss asking where can we slap some AI/Blockchain to help raise capital
Maybe in the broadest sense, but it's certainly not more accurate to say that. If I hold a fiction writing competition, and you submit a piece of non-fiction that I throw in a paper shredder, I think most would agree that I would be misleading if I said I "corrected" your writing. "Deleted" would be a better description, regardless of whether the same work had been submitted elsewhere before.
Ugh, for anyone reading this, please store your phone numbers as E164. There is no need to re-invent the wheel.
The problem is reliably interrupting the CPU in a way that didn't require extra OS support. SMM provided such trigger, and in fact is generally used as part of the scheme with EC cooperating.
You can pay for business or first class. Supersonic flights won’t be cheaper.
I'm not sure these CEOs are assuming any personal risk in most cases. Altman's most recent venture before OpenAI took off was overseeing a failed cryptocurrency. Adam Neumann walked away from the steaming wreckage of WeWork still worth a billion or three. These guys are teflon...
I agree with your overall point, and your despair at software engineers who are still refusing to acknowledge the value of these tools during the process of writing code. However

> A better auto-complete is almost useless.

That's not true. I agree that Copilot seemed unhelpful when I last tried it, but Cursor's autocomplete is extremely useful.
Somewhat!

The vast majority I've seen are black and white, with a color layer on top that is disabled when in "low power / sunlight readable" modes. And many of the smartwatch-focused devices (rather than Garmin's super pricey and gigantic "hiking for days without a phone so it solar charges and has gps and..." watches) only use OLED, even if the brand has MIP screens in some other product lines.

I haven't seen anything even close to what pebble's color watches did. Banglejs is by far the closest, with 6 colors and a much more muted screen in general.
Nice. How are you doing cross-platform sync without an account?
Yeah, I also have made the "right move" industry or tech-wise but for the wrong reason (I'm assuming being in advanced networking worked out pretty well anyway for you).

It's always funny when someone asks me "So how did you know so far ahead of everyone else [that (my startup's product) would launch (category)]", and I tell them it's because we were inexperienced and didn't fully understand the market, so we guessed based on assumptions which turned out to be wrong. I try to always fess up to the fact that success in tech startups is a combination of insanely hard work, being (mostly) smart, luck, and being stubborn enough to keep trying again after failing until your luck turns.
DeepSeek: The Chinese AI model that's a tech breakthrough and a security risk
Just my personal opinion.
The platform supporting tail-recursion is irrelevant to hosting languages that support it; e.g. the JVM does (or at least did) not support tail recursion, but kawa scheme (which does) runs just fine on the JVM.
> There is already SO MUCH more demand for code than we're able to keep up with. Show me a company that doesn't have a backlog a mile long where most of the internal conversations are about how to prioritize what to build next.

This is viewing things too narrowly I think. Why do we even need most of our current software tools aside from allowing people to execute a specific task? AI won't need VSCode. If AI can short circuit the need for most, if not nearly all enterprise software, then I wouldn't expect software demand to increase.

Demand for intelligent systems will certainly increase. And I think many people are hopeful that you'll still need humans to manage them but I think that hope is misplaced. These things are already approaching human level intellect, if not exceeding it, in most domains. Viewed through that lens, human intervention will hamper these systems and make them less effective. The rise of chess engines are the perfect example of this. Allow a human to pair with stockfish and override stockfish's favored move at will. This combination will lose every single game to a stockfish-only opponent.
[dupe] Report site: https://news.ycombinator.com/item?id=42856023
I Tried Samsung's Secret Android XR Headset
NATO: There was officially a Russian plot to kill head of Rheinmetall
Patrolling shipping lanes is a peacetime operation, so I don't see how the First Island Chain matters. They're not going to halt Chinese naval ships going on patrol missions. It just means the patrols won't be secret.
Product User Stories Mapping
The Power of Laughter
The difference is though there isn't a whole lot of "whole cloth novel solutions" being written in software today so much as a "write me this CRUD app to do ABC" which current generations are exceedingly good at.

There are probably 10% of truly novel problems out there, the rest are just already solved problems with slightly different constraints of resources ($), quality (read: reliability) and time. If LLMs get good enough at generating a field of solutions that minimize those three for any given problem, it will naturally tend to change the nature of most software being written today.
Anmo – Your Personal DeepSeek AI Coding Assistant, Right on Your Desk
LLMs don't generally write the same way, and they usually don't use the em "—" character.
My first serious (multiuser) system experience was VMS. The concurrency, the power of DCL, the record based nature of files, the mail box concept for process communication, the accounting system, the granular privs, the cluster concept. I came to UNIX second and still miss some of these things.
Yes, and it is only a matter of when. But the material science and the lithography, there aren't any shortcuts for them to take there, it will still take awhile.
While I agree with you, that's why they are a starting point for someone looking to stand up a program, not an end point.

And, from my experience, many of the trainings that seem almost offensively easy to me (e.g. "How to read a URL") have been some of the ones that received the most positive feedback from non-technical departments.

The real key with security awareness training is ensuring the training is at the appropriate level of complexity for the trainee.
What if participation helps mollify the conflict?
To me, the second biggest problem is that the models aren't really conversational yet. They can maintain some state between prompt and response, but in normal human-human interactions responses can be interrupted by either party with additional detail or context provided.

"Write Python code for the game of Tetris" resulting in working code that resembles Tetris is great. But the back and forth asking for clarification or details (or even post-solution adjustments) isn't there. The models dwell and draw almost entirely self-referentially from their own reasoning through the entire exchange.

"Do you want to keep score?" "How should scoring work?" "Do you want aftertouch?" "What about pushing down, should it be instantaneous or at some multiple of the normal drop speed?" "What should that multiple be?"

as well as questions from the prompter that inquire about capabilities and possibilities. "Can you add one 5-part piece that shows up randomly on average every 100 pieces on average?" or "Is it possible to make the drop speed function as an acceleration rather than a linear drop speed?"....these are somewhat possible, but sometimes require the model to re-reason the entire solution again.

So right now, even the best models may or may not provide working code that generates something that resembles a Tetris game, but have no specifics beyond what some internal self-referential reasoning provides, even if that reasoning happens in stages.

Such a capability would help users of these models troubleshoot or fix specific problems or express specific desires....the Tetris game works but has no left-hand L blocks for example. Or the scoring makes no sense. Everything happens in a sort of highly superficial approach where the reasoning is used to fill in gaps in the top-down understand of the problem the model is working on.
just to be clear, the stray shock potential of a CRT had to do with the flyback circuit for tube itself, not the power supply near the power button/power conditioning.
The ways in which humans err are very different. You have a sense of your own knowledge on a topic and if you start to stray from what you know you're aware of it. Sure, you can lie about it but you have inherent confidence levels in what you're doing.

Sure, LLMs can improve but they're ultimately still bound by the constraints of the type of data they're trained on and don't actually build world models through a combination of high bandwidth exploratory training (like humans) and repeated causal inference.
They are very up front about it though, I ended up not installing their iPhone app because of it. Rather than a million word ToS, there was a very obvious note that they would be gathering and storing data. I’d never seen one quite like it.
Stars do change their brightness in various other ways, but the light curve of planetary transit has a very characteristic shape. It causes the brightness to dim by a small but constant amount, with a (comparatively) very short and sharp start and end. A transit causes this pattern to occur at precisely regular intervals, and I don't think we know of any phenomena related to a star itself that would imitate the same effect.

Stars' relative positions generally don't change fast enough for the angle from which we observe a transit to change significantly. A transit of HD 20794 d is visible anywhere within a roughly 0.7-degree wide band. But our angular rate of motion with respect to the star HD 20794 is the same as its rate of motion in our sky, about 0.001 degrees per year. So the transit will most likely continue to be observable for decades or centuries to come, depending on exactly how the planet's orbit is aligned.
I'm also German and have never seen such weird quotes. Maybe this is some weird windows charset issue but definitely not widespread way of quoting text.
The bare minimum Firefox configuration guide
My observation in my years running a dev shop was that there are two classes of applications that could get built. One was the high-end, full-bore model requiring a team of engineers and hundreds of thousands of dollars to get to a basic MVP, which thus required an economic opportunity in at least the tends of millions. The other, very niche or geographically local businesses that can get their needs met with a self-service tool, max budget maybe $5k or so. Could stretch that to $25k if you use offshore team to customize. But 9/10 incoming leads had budgets between $25k and $100k. We just had to turn them away. There's nothing meaningful you can do with that range of budget. I haven't seen anything particularly change that. Self-service tools get gradually better, but not enough to make a huge difference. The high end if anything has receded even faster as dev salaries have soared.

AI coding, for all its flaws now, is the first thing that takes a chunk out of this, and there is a HUGE backlog of good-but-not-great ideas that are now viable.

That said, this particular story is bogus. He "just wrote the tests" but that's a spec — implementing from a quality executable spec is much more straightforward. Deepseek isn't doing the design, he is. Still a massive accelerant.
Funnily enough there are several articles with your exact question: https://news.ycombinator.com/item?id=35447827
They're hardly worth stealing.

Or do you mean they might prevent theft? Or deter it? It is my experience that they are pretty useless at both.
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You're more or less describing how all progress on anything, ever, happened.

Even if you merely flipped a single bit and created AGI based on existing tech, you're still the legitimate creator of AGI.
@scarface_74 and @demosthanos, please let us not drag this further. Both of you are trying to help and I sincerely appreciate your contribution. I would find a way to exist without LinkedIn. Thanks guys.
no one publicly pushes any techniques very far except for meta and it’s true they continue to train dense models for whatever reason.

the transformer was an entirely new architecture, very different step change than this

e: and alibaba
Technology research and development effort aims to tackle illicit finance
I really don't understand how it is that other people frequently write one-off scripts that nevertheless need to run in an isolated environment (as opposed to a sandbox that contains a few common workhorse packages like NumPy or Requests).

Of course I have plenty of separate environments set up, but that's because I'm developing things I hope to share with others, so I need to keep close track of their specific dependencies (so I can specify them in package metadata). But even this stuff would generally work with a wide range of versions for those dependencies. I'd imagine this is equally true of small, one-off, personal automation scripts.

But, sure, if you have this problem, that's a great way to use the shebang line. (You can do similarly with Pipx, and I expect you'll be able to with Paper as well, although I might push that sort of thing into an optional add-on.)
All the more reason why humanity needs multiple space programs.
The feature turned out too useful for all sorts of things, including dealing with the fact that before NT loaded itself you still had to emulate being an IBM PC including the fiction of booting from cassette tape or jumping to ROM BASIC.

Also, it's been cheaper to implement various features through small piece of code instead of adding a separate MCU to handle them, including prosaic things like handling NVRAM storage for variables (instead of interacting with external MCU or having separate NVRAM, you end up with SMM code being "trusted" to update the homogenous flash chip that contains both NVRAM and boot code)
Yes, this is almost certainly a violation. Technically, you cannot be sure yet, because in some alternate universe, Nintendo might have re-licensed their SDK under GPL as well, and if you ask Limited Run Games for the source of Tomba, they might give everything to you, thereby complying with the license. In reality though, these SDKs are of course not only proprietary but also under a NDA.

Alternatively, they might have found a way to run PCSX without using the Nintendo SDKs, but I don't think this is possible.

It's pretty crazy that they officially credit PCSX and didn't even realize that this is a problem.
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My friend asked me about making him a list of PC parts for a PC plz help me by giving list that is fairly cheap
Executive whose dominance is dependent on a moat (cost of training large models), points out the importance of that moat...

Of _course_ he wants to discourage competitors, but that is PR, not technical commentary.
> As they are linking with proprietary SDK they seem to have violated the GPL indeed.

What do you mean? Putting GPL software on proprietary platforms isn't a violation of the GPL. Tons of GPL software exists on Windows for example and needs to interact with Windows APIs.
It's important to understand that most CEOs (the good ones and the bad ones) are dilettantes. This doesn't mean you should ignore them, but it's worth running their "takes" past actual subject matter experts who can provide a more nuanced perspective.
I didn't hear about tariffs on Taiwan yet before this morning, I can't believe Trump is this dumb.

I just bought a new laptop last night just in case. A refurbished M3 Max with enough memory to run DeepSeek 70b :).
It's when you need to give the script to someone else.
Rich doesn't have to mean billionaire. Now look at the number of millionaires in the US, ~22 million or 8.5% of the population.

https://en.wikipedia.org/wiki/List_of_countries_by_number_of...
maybe shifting the jobs' target.. to higher a level (finally!) ? Reminds me of:

https://chris-granger.com/2015/01/26/coding-is-not-the-new-l...

modelling has been , is , and will be the needed literacy..
Probably just that it's not as impressive as it appears because it didn't innovate. Which is of course irrelevant since the innovative leap here were the optimizations that let them make their model with an order of magnitude fewer materials, regardless of whatever innovation costs OpenAI ate.
> None of that is "opposed to Open-source".

You're quite right. Open-source vs. non-open-source is irrelevant to the question.
Similar enough is double entry bookkeeping and generally I think event sourcing is more common for fraud detection, log analysis for security, etc. - use cases where how the application got in its state is as important as the state.
Show HN: I used DeepSeek and TestZeus to do agentic testing
Hello, Robin here. I am one of the cofounders at Testzeus, and we had built an open source testing agent. Using AG2 framework, our agent uses tools like Playwright for browser interaction, Nuclei for security scanning or AXE for accessibility. So, with the release of Deepseek R1, and earlier launch of OpenAI Operator, I was curious if we could generate UI tests using Deepseek R1, and feed them directly to the open source testing agent for autonomous execution. And similar case with API testing, where we could feed an OpenAPI spec to Deepseek, ask it to generate tests and then directly run these tests with the testing agent.
To my surprise, this pipeline worked pretty well for both UI and API scenarios. Here is a video around my observations: https://youtu.be/-gbNDZ1eqnY.
We feel that engineering teams still struggle with velocity of delivery versus its quality, so agentic testing with open source solutions like AG2, Deepseek and TestZeus will change the world for better.
> Big part of my annoyance is the term "AI" itself which you can say to mean anything, everything and nothing.

Pretty sure that's the point now.

You're selling a "solution" not a "product". So you don't want to market AI as some nice robot that can move car doors around. You want to market AI as a vibe that fixes enterprise problems. So now all the companies that want your AI both have to pay for AI and also your time to actually build a product for their problem.