skysight-inc/HackerNews huggingface dataset:
Paypal (or its little brother Venmo) haven't been needed in the US in nearly a decade. I've never had a European bank account, but Zelle seems to me to be just as good as what the Europeans have.
I was going to mention the Shirley and Chiu mapping.

A copy of the original paper can be found here and is nice and easy to read, with pseudocode: https://web.archive.org/web/20190223095317id_/http://pdfs.se...

Alternatively for the non-random and arbitrary N case here, an approach based on Phyllotaxis that samples a Fermat spiral every ~137.508 degrees (i.e., the golden angle, or the golden ratio fraction of a circle) also works pretty well: https://en.wikipedia.org/wiki/Fermat%27s_spiral#The_golden_r.... It works nicely for any N, even if the N isn't square or close to square (just choose the scaling appropriately, e.g., c = 1/sqrt(N)).
>Part of why Eisenhower was a good supreme commander was that he could wrangle the assholes into at least not fighting each other!

That's a spicy take on the British.

(I kid, but the joke is in fact based in historical fact, managing relations with the British was a key reason he was given the job)
But supposing this happens across the economy, there's less inflation. E.g. if housing costs track tech salaries and soak up most of the surplus available, the relative wealth gained/lost is hard to predict
> It's not about C per-se, as much as each native compiled dependency creates additional maintenance concerns. Changes to hardware/OS can require a recompile or even fixes.

This is a canard. zopfli is written in portable C and is far more portable than the nodejs runtime. On any hardware/OS combo that one can build the nodejs runtime, they certainly can also build and run zopfli.
That’s not Janus Pro, its Janus Flow, an earlier DeepSeek model in the same development series, released last November.
just following this whole story lightly but is there reason to believe (or not) this data coming from them?
Must be in the ether. I just stumbled across this one this morning.

https://github.com/Sumandora/remove-refusals-with-transforme...
It's even worse than that: it's more like buying unrefundable materials to build a house today on an account/invoice, knowing you will likely be unemployed before the bill comes due, but after the materials are delivered. You're spending money up front that you don't have, and may never have.

If you spend full budget for the first half of the fiscal year, but a final budget gets passed later that cuts your budget in half- you get no remaining money for the year, and then end up firing everyone, instead of half. This is why the federal agencies have the policy of immediately acting on the lowest proposed budget, instead of waiting to see what happens.
Has deepseek spend been independently audited? Also, does it have similar national security concerns as TikTok?
You didn’t say currency, you said credit. But it doesn’t matter, lots of non-US chartered institutions historically create US dollars. There are some treaties around it now but in the beginning English banks created the Eurodollar system with no control by the US government.
“ client is interested in 3D scanning cars, outdoors and in varying conditions.”

The implications of these requirements (ie car _in specific location_) is not obvious to me. What are they planning to do with the model?

Have they customized the frame and / or paintjob or is it a typical production model?

In the latter case it would likely be easier to source a 3d model rather than scan it.

If it’s some “playing around” Luma is pretty good nerf based scanner.

Without nerf you might have a hell of a problem with the specular surfaces.

If it’s production use with a budget I would recommend subcontracting the scanning - there are parties professionally doing this.
Show HN: We're Building a Desktop App for Browser Agents
What's up HN!

This is Jared and Art. We met on HN and started building together.

Over the last few months we've been thinking a lot about how AI agents are going to impact the future. We want agents to be something that's actually useful for normal people as well as the 10x'ers. This lead us to building Meha over the last few months, our first swing at our vision! We saw OpenAI release Operators then we said f*k it let's post.

Meha is a desktop app that uses your Chrome browser to execute tasks in the background. It controls your installed Chrome browser and uses LLMs with playwright to plan and execute actions to accomplish your task. You get to see each planning step the bot is doing and have access to its long term memory.

Meha also uses its own file system and can export files for download. Another thing we've been focused on in multi-agent workflows and Meha can run many bots at the same time. One of the reasons why we can ship this for free in the mean time is because of how cheap the agents are. But we are planning to have a Pro version for power users. We prefer not to raise since we're against VC funding.

We have been influenced by a lot of concepts in probabilistic robotics and RL to develop a fairly robust 'agentic' framework. As well as an algorithm for efficiently converting/compressing large html pages into a semantic format. If you're interested we will open source this asap in an SDK (will work with all OpenAI API spec LLMs and with llama.cpp) let us know.

We're currently in beta and working on figuring out what this product will become and super stoked! Let us know what you think. To get access to Meha we have links on our discord to download (Both MacOS and Windows is available). Please give us all the feedback/criticism (even if you hate AI).

Link to Meha: https://meha.ai
Zero Sum Games
Or you can drop a line to someone who you've worked with in some manner and ask to meet. That's how I got my last 14-year job.
There are so many investors in the market that it's hard to figure out what or why anything happens.

But roughly, I suspect the main thing is "enough people thought NVDA was the only supplier for AI chips, and now they realize there's at least one other" that it slipped.
Not only there's nothing wrong, but it is a good thing.
QQ: Why would one build your own? Is the cost of building one's own lower than just buying an Airtag off the shelf? I recently bought some for about $15. Would building my own be cheaper?
It's not that the "tech bros" don't understand the problem. It's that DEI advocates tend to misstate the problem they're trying to solve.

> The only things that do reduce discrimination in the short term is rules that deliberately relatively advantages the discriminated class and in the long term, socio-cultural shift.

This isn't reducing discrimination. This is deliberately engaging in discrimination to change demographic outcomes.

We could have avoided a lot of confusion if DEI advocates were honest that their goals are not to eliminate discrimination but rather to employ employ affirmative action to achieve more equitable outcomes. If that's your goal, then of course anonymized hiring doesn't work: if you can't tell which candidate belongs to which demographic, then you don't know who to give advantage to.
All models do this last time I checked. Not just Chinese.
Greed leads to cowardice.
Why Engineering Managers Don't Need to Be Great Coders (2023)
> And thus these kinds of programming languages aren’t really for curious students. They’re to make teachers lives easier.

I very much doubt that the creators of these languages are thinking of their creations this way.
A lot of companies tend to ask for them. No idea how many actually follow through and contact them.
> gold has never reached its 1980s peak again, and may never do so

Very true. OTOH, if you bought gold one week, one month, six months, one year, five years, ten years or twenty years ago you would have made money.

I am not really a gold bug. It has a place, but it’s not the best asset ever. As others correctly point out, it is unproductive in itself. OTOH, if you have two uncorrelated assets, you can make money simply by rebalancing periodically between them. Not a lot of money, but not nothing.

Note too that cash itself is unproductive. Dollars ultimately derive their value from the fact that Americans have to pay their taxes in them, not because pieces of linen paper are useful for a lot.
Interesting stuff. Thanks!

> An OS vendor wouldn't do these things...

Good observation. Writing for a closed, custom-built platform had its advantages.
Cranelift's Regalloc2, Used by Wasmtime and Rust (2022)
I'm surprised that you have to use a second mac to "revive" it. I had always been impressed that at least the intel models could always bootstrap themself and go online and download their OS image. Even with a new blank drive installed.
Modern machines usually try to predict target addresses, not just the direction of conditional branches. You can implement it for unconditional calls and jumps too, even for direct/relative-addressed ones. That's pretty common nowadays.

When you calculate the target of a jump, you can cache it (that's what a BTB is). Next time you encounter it, you predict the target by accessing the cached value in the BTB and start fetching early instead of waiting for your jump/call to move all the way through the machine.
Janus is heavily censored, moreso than any other available model.
Is AI part of "web 3.0"? I thought web 3.0 was decentralized/blockchain stuff.

I mention Discord because a lot of people use it for stuff that would formerly be forums. Telegram is also the the same. They're doing this despite it being centralized. What's the decentralized equivalent of Discord or Telegram? Does it support phone notifications?
Upcoming Changes to ClickHouse Cloud Tiers
Who cares? She basically splits Spotify’s revenue with Joe Rogan, she does okay.
Milk before tea reduces thermal shock on fragile fine china tea cups
If you are just swamped with feature requests, and not actively trying to grow 100x or more, then no - you do not want capital. Bringing in investors brings in expectations of not just an exit, but a big exit -- they will push you into a high-risk model where you go big or go bust. If you have already been running for 5 years, you don't need that.

I don't know the details of why you are swamped, but I suspect you just need to aggressively triage those requests:

1) Figure out which of those requests are need-to-have vs. want to have. This alone will take a bunch of the weight off your shoulders.

2) Figure out what 80% of the people want. Do not go changing your product for a minority, as it will just dilute your PMF and add unneeded complexity.

3) Pick out low-hanging fruit and get them done. Then prioritize the rest.

Really, this is where a good product owner will make you thrive. Someone who knows what to do, and what not to do. And someone who will let the team work, not force them into their own favorite dev process. Find that right person whose job it is to figure out and manage that backlog, who can work will with engineers, leaders, and customers... and you should be fine.
That's a wonderful repo that I used as my starting point! The main problem with that one is that it supports only models that are on transformerlenses and unfortunately they are not a lot...
So I've done a bit of comparative testing between Janus 7b and Flux Dev - strictly considering PROMPT ADHERENCE since Janus is limited to 384x384. As mentioned elsewhere upscaling is a FAR simpler problem to solve than adherence.

Results testing star symmetry, spatial positioning, unusual imagery:

https://imgur.com/a/nn9c0hB
still you have to maintain the pile of boilerplate code and whoever does it, has a very narrow context window (aka human)
Second this - he has some great videos that go into the different techniques for different use cases too.
From that gif it actually lookslike that deepseek model will answer about Tianmen square. But a second "supervisor" llm monitorizes and deletes output.
Some interviews I've encountered consisted of uploading code that gets executed on a remote server. Grading is exclusively done on the correct output, runtime, and memory usage. This is a truly anonymous interview that cannot be biased with regards to protected class. How does such an interview pick up on the protected classes of the candidate?

The hostility to anonymized interviews stems from the fact that one cannot discriminate in favor of particular demographics. This is the goal of the above commenter, as stated here: https://news.ycombinator.com/item?id=42830509
This sounds like maybe it's in the training data? Based on Elon going on about Wikipedia, I have been more carefully reading it and yes maybe it does have a bias (I'm not saying the bias is wrong, I'm not saying Elon is right, I'm only saying that maybe there is a bias).

For example, the page talking about blogs is for 20% about "Legal and social consequences" including "personal safety" [1]. And again, I think that's fine. Nothing wrong with discussing that. But I don't see any arguments why blogging is great such as it being useful for marketing, that you possibly have platform independence, and generally lots of freedom to write what you want to express.

Put differently, here on Hacker News we have a lot of links pointing to blogs and I think generally they are great. However, if I would not know about blogs and read the blog Wikipedia page then I could conclude that blog's are very dangerous, which they shouldn't be.

And just to be sure. I'm not saying Wikipedia is bad and I'm not sure whether it's a good idea that Elon takes control of it. I think Wikipedia in the current form is great. I'm just saying maybe there is indeed a bias in the source data, and maybe that ends up in the models.

[1]: https://en.wikipedia.org/wiki/Blog
A properly working cache and download manager that supports resume goes a long way.

I could never get Docker to work on my ADSL when it was 2 Mbps (FTTN got it up to 20) though it was fine in the Montreal office which had gigabit.
Considering the Soviet (government's) treatment of Poland, both before and after 1945 - is "liberation" a reasonable term here?
> You had to tune your car radio to a specific frequency to hear the movie audio.

This was great because it allowed for stereo. This also replaced the earlier idea of taking the speaker from the pole next to the driver's window, and then hanging from the window inside the car. This was just a mono speaker, but it was also right next to the driver's head. It reduced the drive-in's repair bills from people driving away before placing the speaker to its host stand (and other hooliganism)

*just to add some color
This is completely fake though. It was more like their founder decided to start a branch to do AI research. It was well planned, they bought significantly more GPUs than they can use for quant research even before they start to do anything AI.

There was a crack down on algorithmic trading, but it didn't had much impact and IMO someone higher up definitely does not want to kill these trading firms.
very balanced thought. World does run on incentives and social structure defines a major role . I am not sure how AI can ever replace that . I love your analogy of 70s word processor . I have always referred AI to my folks that it is nothing but an updated version of clippy
DeepSeek releases new image model family
Google picks up some LinkedIn content, but I would venture it’s a very small slice of what is out there. Just doing a google search for several posts I see on my feed, and very few if any shows up. Same for IG (which makes sense as a lot of profiles are private)
Nobody expects it but what we know for sure is that they have burnt billions of dollars. If other startups can get there spending millions, the fact is that openai won't ever be profitable.

And more important (for us), let the hiring frenzy start again :)
That's obviously bad. Vaccination and COVID origins are different topics, though.

Opinions do correlate in the general public, and I guess that's why you've made that link. I don't think that trend holds among scientists, though--Deigin, Chan, Ebright, Bloom, etc. all have quite ordinary views on vaccine risk and efficacy.
[dupe] https://news.ycombinator.com/item?id=42843131
Good luck getting anyone to answer the phone to take the request. I'd suggest not naming your station "Spam Risk"
They already do. All the current leading edge models are heavily trained on synthetic data. It's called textbook learning.
Mushroom works fine for me for photogrammetry.
Building Toward a Smarter, More Personalized Assistant
> If adding two single digit numbers is also prohibited it can be implemented with a lookup and keep everything in string representation.

Yeah uh I guess you missed the SUM_TABLE part of the article? That's what they're doing. And that's why the rule against matrices was added.

That version of the code is 80% checking if "the sum of the individual digits is divisible by 3", 20% the rest of the fizzbuzz.
It's a "who will police the police" problem, and letting the police choose who gets to view arrest records isn't going to be a great solution.
Quality notwithstanding, I don't think it even competes against the SOTA for understanding either - I ran some comparisons against Flux and was unimpressed.

https://imgur.com/a/nn9c0hB
There is no moat.

https://semianalysis.com/2023/05/04/google-we-have-no-moat-a...
Jewish survivors of these death camps will respond affirmatively
>Imagine having 300.

Would it not be useful to have multiple independent AIs observing and interacting to build a model of the world? I'm thinking something roughly like the "councelors" in the Civilization games, giving defense/economic/cultural advice, but generalized over any goal-oriented scenario (and including one to take the "user" role). A group of AIs with specific roles interacting with each other seems like a good area to explore, especially now given the downward scalability of LLMs.
The best 3D models I’ve seen are from iPhones and their FaceID camera. It’s an infrared photogrammetry beast.
> But the cons were substantial:
...
> This wouldn’t retroactively apply to existing packages.

Why is this substantial? My understanding is that packages shouldn't be touched once published. It seems likely for any change to not apply retroactively.
Wrong, at least with Claude : https://i.imgur.com/6dj1XAU.png
https://news.ycombinator.com/item?id=42514633 the current base version release thread and a mere 40 comments. C'mon, it's not a sin to be biased.
Grand Theft Hamlet
https://archive.ph/2025.01.26-183339/https://www.newyorker.c...
Moving your money into a non-local currency or store-of-value has a cost and its own risks.

If you trust an untrustable government, you lose when they betray you. If you don't trust a trustable government, you lose when you spend years and decades hedging against their betrayal and it never comes.
An internal referral by someone at the company you are applying to might carry some weight, or at least get you a foot in the door (interview), but I think it's been years/decades since past employers were willing to say more than "yes, he worked here", for fear of lawsuits.
Move fast and break things no more.

Bow fast and say yes to all demands of our new overlords is the new motto of Meta.
Consider writing a program with types and semi-colons. Now, instead of giving variables a deterministic input you randomly sample from the allowed values of that type. And instead of `;` meaning, "advance one statement" it means "advance to some random statement later on in the program".

So: fn example(x: int) = print("A", x); print("B", x); print("C", x)

Is evaluated `example(63) // C63,A63,B63` on one run, and example(21), etc. on another.

This is something like the notion of "program" (or "reasoning") which stochastic AI provides, though its a little worse than this, since programs can be composed (ie., you can cut-and-paste lines of code and theyre still valid) -- where as the latent representations of "programs" as weights do not compose.

So what i mean by "deductive" constraints is that the AI system works like an actual program: there is a single correct output for a given input, and this output obtains deterministically: `int` means "an int", `;` means `next statement".

In these terms, what I mean by "causal" is that the program has a different execution flow for a variety of inputs, and that if you hit a certain input necessarily certain execution-flows are inaccessible, and other ones activated.

Again analogously, what I mean by "act according to a goal" is that of a family of all available such programs: P1..Pn, there is a metaprogram G which selects the program based on the input, and recurses to select another based on the output: so G(..G(G(P1..Pn), P2).. where G models preferences/desires/the-environment and so on.

In these very rough and approximate terms it may be more obvious why deductive/causal/intentional behaviour from a stochastic system is not reliably produced by it (ie., why a stochastic-; doesnt get you a determinsitic-;). By making the program extremely complex you can get kinda reliable deductive behaviour (consider eg., many print(A), many print(B), many print(C) -- so that its rare it jumps out-of-order). However, you pile on more deductive constraints you make out-of-order jumps / stochastic-behaviour exponentially more fragile.

Consider trying to get many families of deterministic execution flows (ie., programs which model hypothetical actions) from a wide variety of inputs with a "stochastic semi-colon" -- the text of this program would be exponentially larger than one with a deterministic semi-colon --- and would not be reliable!
Is the apple in the logo splashing into "wine dark sea"?
As a European I really don’t see the difference between US and Chinese tech right now - the last week from Trump has made me feel more threatened from the US than I ever have been by China (Greenland, living in a Nordic country with treaties to defend it).

I appreciate China has censorship, but the US is going that way too (recent “issues” for search terms). Might be different scales now, but I think it’ll happen. I don’t care as much if a Chinese company wins the LLM space than I did last year.
Also you get payed 60% for a year on unemployment benifits in germany (or until you find a new job), which is amazing.
I've used this service a while ago, it was really messy, but somehow dealing with it and getting it to work was fun (or I just like to suffer).

It has a "retro" feel that, even if I didn't get to experience, feels nice.
Massive overreaction in my opinion (not financial advice).

People are forgetting how much compute is being used for inference. This is going to be further accelerated:

- Reasoning models are going to generate orders of magnitude more tokens.

- Synthetic an augmented data is more and more prevalent, and if you need to process pre-training scale dataset, you will need a lot of inference.

- etc.
I think Wall Street is in for surprise as they have been profiting from liquidating the inefficiency of worker trust and loyalty for quite some time now.

It think they think American engineering excellence was due to neoliberal inginuenity visavi the USSR, not the engineers and the transfer of academic legacy from generation to generation.