skysight-inc/HackerNews huggingface dataset:
Often passed through firewalls or effectively proxied through resolvers
I thought the compromise they agreed on for Hey was to provide a 14 day random email address to use on iOS (addressing the app review issue of “no functionality without external account”).

If they didn’t do this for the calendar app then DHH is deliberately picking a fight. It’s smart, effective publicity, I’d have never heard of it otherwise.
I’m not sure that’s correct.

Looking at Q3 2023 SEC filings

https://ir.tesla.com/_flysystem/s3/sec/000162828023034847/ts...

For Tesla and ford

https://s201.q4cdn.com/693218008/files/doc_financials/2023/q...

And doing a quick Google search on vehicles sold in that time period. (Which I didn’t go to great length to check this could be wrong).

Tesla: 435,000 sold

Ford: 497,108

It looks like ford might be making more per vehicle then Tesla.

But it also seems like that might have been true / is still true as in 2022 it looks like their profit per unit was double ford.

https://www.wardsauto.com/industry-news/numbers-tell-story-w...

However, it was nearly identical to bmw who does use dealerships. So there must be something more there?
What ruins the simulation for me is that polygons are "meh" when they have no immediate neighbors, while in real life secluded places are the most coveted.
Location: India

Remote: Yes

Willing to relocate: Internationally, yes (after Jul'24)

Technologies: Javascript, TypeScript, Node.js, React (& Next), Angular, Python, Java, Spring & Spring Boot, C# & .NET, AWS, Azure, Kafka, RabbitMQ, SQL and NoSQL Databases, Docker, Kubernetes

Résumé/CV: https://www.icloud.com/iclouddrive/0cb1xJia0vNIPXnDY7e6eGG-A...

Email: celesta_sinker_0f@icloud.com

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Senior full-stack software engineer with over 7 years of experience, currently working at Postman Inc., previously at SAP and Genpact. I am programming language and framework agnostic i.e. I can learn and work with any language and/or framework as required. Looking for either fully remote roles or roles with international relocation. It would be great if the role would allow me to work on challenging things. Additionally, I hold an H1B that can be transferred over if required. Please visit my portfolio (https://atchyut.dev) and/or blog (https://blog.atchyut.dev) to learn more about me.
Here's the basic idea:

The nicest situation we can have between two representations (x,y) is that they can encode each other, so transformations (f,g) "round-trip":

f x == y
x == g y
x == g (f x)
f (g y) == y

That isn't always possible, though. (and some mathematicians find it so boring that they work "up to isomorphism", meaning they don't even bother keeping track of the exact round-trippable transformations, and just assume we use any suitable coercion, writing down only the non-round-trippable transformations, just as we don't bother keeping track of exactly which and how many zeroes there are in 1+2 [or is that 1+0+2? or 1+0+0+2?] or which and how many null strings there are in the middle of "hi")

Much more commonly (this always happens, if we allow degenerate encodings) is a situation where each representation can encode only a subset of the other, so we only have:

f x == f (g (f x))
g (f (g y)) == g y

because attempting to round trip is lossy, but the loss is idempotent: unlike analogue copying, further generations (which are already in the mutually-expressible subset) aren't any more lossy.

[aside: does the 3-in-1 trinitarian nature of these equalities suggest that one transformative application may exist in three coequal, coeternal, consubstantial hypostatic applications? end of aside]

Finally, the situation I'd contrived between plaintext and pdf is where a more expressive representation can encode a less expressive, but not the other way around, so we have an intermediate situation, where Procrustes only affects the more expressive side:

x == g (f x)
g (f (g y)) == g y

If you squint, you should be able to see the relation between this abstract algebraic notion of adjunction and the linear algebraic notion of "best possible approximation to an inverse". Galois connections are also closely related.

I don't think I can do it justice in an HN post, but old János also did a lot with these concepts, both theoretically exploring when the idempotents mentioned above are "regular" (related to regular expressions and the Kleene star) and practically suggesting that we should make Y-combinator-style autoreplicating mining-factory-complexes on the moon (in the asteroid belt?); see also https://news.ycombinator.com/item?id=38893829 ...
They also say “I left one training for a few more days and it reached 1500 ELO.” I find it quite likely the observed performance is largely limited by the spent compute.
I think this idea is a dead end. The Git model is already good for decently large and long-running projects like Linux (although not giant corporation monorepos).

So the version control problem is solved both for all past and future languages which are textual. But with an AST system you make the storage itself much more opinionated. Java and C ASTs are different, surely? So then the same storage can’t be used directly.

I have also thought that these ideas that you bring up could be built on top of Git. So Git solves the primitive task of storing code in a completely unopiniated way—doesn’t matter if “the tests pass” or whatever. Then what you propose lies on top of that primitiveness.
To clarify, "Mainframe Zork" usually means the original MDL version for the PDP-10, Bob Supnik's Fortran translation thereof, or the C translation of the Fortran version. The other, "not mainframe" Zork, is Infocom's Zork series written in ZIL and running on microcomputers.
By the virtue of the terminal polarization in the US everything is political.
It's one of the reasons. It's also the fact that the smaller your chip is, the more chips each wafer can make, and less wastage around the edges.
Ask HN: Does anyone use Ryzen 7040 series for AI workloads?
And if so what you're running on it and what is its performance?

Don't want to throw multiple kUSD just for running llama and stable diffusion at reasonable speeds and I'm wondering how much reasonable in this field is AMD Ryzen 7040 (7940HS, 7840U etc) or upcoming 8700G.

Currently using 5700U with 64GB of ram and it runs everything, but it is pretty slow on 34GB llama or stable diffusion (512x512 image with 24 iterations takes about 3-4 minutes)
From your previous comment, it needed to be pointed out.
In Heinlein's books, do the rolling roads come before or after the establishment of American theocracy ?

Asking for a friend.
Doesn't work for Brits with their pavements ;). Maybe "movements" then.
Heh, some of the comments feel strangely outdated now, in the post-GPT-3.5 era when everyone can just ask their computer to come up with a few paragraphs of sufficiently buzzwordy copy about anything they want:

> I hate perf! All want to say is Jill does great work, Joe does ok work. Bill might need to work on something else has he doesn't seem into it. Instead I'm told to write several paragraphs of ad copy trying to make unique and interesting sentences that don't sound the same but basically all say the same thing "Jane does good work". They want specifics like "Vlad's work on the ABC protocol really took things to the next level. If it had not been for his tireless effort on the ABC protocol discussion list it's likely a different spec would have been ratified and we'd all be stuck with 6 months more work in our implementation."

https://news.ycombinator.com/item?id=22042282
Probably this, right? https://adl.sourceforge.net/ddldoc.html

Do you still have that code?
Would love to see a similar experiment for 9x9 Go, where the model also needs to learn the concepts of connected group and its liberties.
The STM8 processor for instance has no C++ or Rust compiler to my knowledge, even though it was produced in huge volumes [1].

It is still quite common to see proprietary compiler-suites in the embedded world.

Most only support C. Some do not even support C99 :)

Sure for many ARM targets (e.g. Cortex series), you can use GCC or LLVM etc. and get access to C++.

Many embedded shops targetting the lower end (8-32 bit CPUs <100MHz + 8-32kb RAM) prefer C for the simplicity.

1: STMicro announced back in 2016 that they’d sold more than 2 billion of these chips, so it’s not some obscure little niche processor.
The amended board decision, beginning on page 6 under the heading “II. BOARD LAW”, which I linked you to and you didn’t read, is two pages of the specifics of the ruling, analyzed point-by-point by the NLRB, which were preceded by the evidence presented in the case, that according to you, doesn’t exist.

I get that you’ll tirelessly do anything to have the last word, but since you’re now doing the same thing as Mr. Imaginary Janitors, saying things don’t exist that I’ve quoted and linked you to, and, in fact, do exist, I think we can call it a day.
How exactly is BTC not lost when it is sent to an inactive person that is possibly not alive?

That money is by all probability lost, and this transaction looks at best like a weird flex, or an unlikely attempt to prove some connection to satoshi.
They are in some old SF. I like the term too.
I'm impressed and surprised that a relatively small model can learn so much from just the textual move records (not even full algebraic notation 1.e2-e4 e7-e5 2.Ng1-f3 but just 1.e4 e5 2.Nf3).

Would love to see a similar experiment for 9x9 Go, where the model also needs to learn the concepts of connected group and its liberties.
absolutely zero js code needs this but it will be the must-have feature for FE frameworks.

and the world will suffer a multitude of common-for-users-but-edge-cases-for-the-devs triggering all sort of bugs for all of 2024.
GIT: GIT Is Torvald’s
That’s the world they live in. Personally I’m fine to share basically everything with coworkers.

Australia has much better legal protections for workers though.
Just from my rusty memory, the roads were after the Crazy Years and before the Prophet. So yes, before the theocracy.
EDIT: I found a link to the chart.

http://templetongate.net/graphics/literature/fhchartlarge.gi...
AlmaLinux mentioned this in their 2023 revue
>[After the split, we] have been able to ship critical security and bug fixes sooner than any other enterprise linux distro. [...] In some cases, any distribution that is still relying on RHEL as their upstream is still waiting for these patches to be released.
https://almalinux.org/blog/2023-12-14-2023-highlights/

Ironically, faster fixes were one of the reported reasons for moving CentOS upstream, turns out that was only for metabook.
Alma is quickly becoming the new self-hosting distro for me and I feel by now they're better than before
you can do first a keyword based search (inverse index, etc.) and then do semantic search with the results of the first step
Problem is that this needs clients to catch on. The likes of Netflix and YouTube need to add support. But I highly doubt YouTube will care.

Regardless, I'm glad this exists. Hopefully in the future it becomes more prevalent.
You might be thinking of the article written by Pascal of Cubic Team. I think the archive is called pasroto.zip and it explained why rotozoomer performance would tank when the texture was rotated by 90 degrees (since you're stepping in the Y direction and blowing out your cache for every pixel). Really interesting at the time.
Thanks for sharing about your projects (especially notado and kuli.sh), I would never have heard about it if it weren't for this comment.
I'm impressed and surprised that a relatively small model can learn so much from just the textual move records. Not even full algebraic notation 1.e2-e4 e7-e5 2.Ng1-f3 but just 1.e4 e5 2.Nf3 ... It has to figure out what o-o and o-o-o mean just from what King and Rook moves appear later. And the only way it could learn that the King cannot move through a checked square while castling is that such situations never appear in its training set.

Would love to see a similar experiment for 9x9 Go, where the model also needs to learn the concepts of connected group and its liberties.
what dns clients does one have in windows 8 or windows 10 ?
A former coworker was a standup for a few years prior to transitioning to software dev and continued to do it on the side.

We got on pretty well while pairing and after a few weeks he let me know his secret under the condition that I couldn't let anyone on the team know. His concern really was having HR getting wind of this and scouring the internet for material.
In my startup we track another number in order to normalize our compensation.

We do a quick "expected valuation" calculation on the share price and use that, instead of the 409a or the valuation. This is how I actually value it in my own head, so we just kind of canonicalize.

example: I think there's a 1% chance 1billion a 5% chance we make 100M. A 40% chance we make 20M. So that's a 23M and then I calculate the value of an option based on that.

Using that, I can then try to "match" a salary from a public company. So we set our comp as 80% of the google levels.fyi data. (Chose google bc it has the fullest levels.fyi data).

This gives us a full compensation benchmark for any roles / levels. ie a Sr engineers makes 263k. But we pay 140 in cash and 123k in equity.

Then I can explain to an engineer. We feel like we're paying you as well as you would be paid at google, but you need to believe that we have a 1% chance at a billion. 5% chance at 100M etc. They can easily tweak these expectations too so they can compare offers. If they think there is a zero percent chance of 1B they can adjust the offer themselves in their head.
SNESTang – SNES for Sipeed Tang Primer 25K FPGA Board
Cheatservice
cheatservice
I’m blown away how enormous this is. What kinds of greenfield projects are these? Two databases, an ETL pipeline and an orchestrator? Why?
Related this very recent article from JAMA Otolaryngology (Denmark study):

Cantuaria ML, Pedersen ER, Waldorff FB, et al. Hearing Loss, Hearing Aid Use, and Risk of Dementia in Older Adults. JAMA Otolaryngol Head Neck Surg. Published online January 04, 2024. doi:10.1001/jamaoto.2023.3509

Conclusions and Relevance: The results of this cohort study suggest that hearing loss was associated with increased dementia risk, especially among people not using hearing aids, suggesting that hearing aids might prevent or delay the onset and progression of dementia. The risk estimates were lower than in previous studies, highlighting the need for more high-quality longitudinal studies.
I love Microsoft hardware and I have been using their peripherals since the late 80s. Logitech is also very good, but never had quite the reliability and simplicity combined with innovation of Microsoft's hardware products.
1899 Peruvian dinero: the mystery of a coin that wasn't officially minted
Those physical mechanisms did have advantages, though. The signals on railways would physically interlock so you couldn't accidentally clear two trains to enter the same portion of track. Perhaps the electrical circuits on modern signalling systems have similar interlocks and it isn't all left up to software (at a minimum you wouldn't want to ever let the system go "all green", for example).
Nice! I'd add FreeCAD, and also the RealThunder fork https://github.com/realthunder/FreeCAD which adds enhancement(seems to be getting slowly merged to mainline).
I wish there was the same thing for opengl3.3

tinyengine is great but not supported for windows yet
And here I am, with this thought about how us humans, having an ingrained notion of science and discovery needing to be built on __analyzing__ things, are defied by such complex, interwoven systems that really can't be put into parts.

And while I'm totally an armchair scientist here, what comes to mind immediately is that the resources needed to describe such a system analytically would grow exponentially with a very high value of that exponent.

I wonder, what a horrendously complex system of differential equations would be needed to describe just one receptor, with its countless inputs and outputs -- and how brilliant in mathematics would a person reading it have to be.

Disclaimer: this comes from a university dropout with no background in biology and only a little in mathematics -- and moreso, whose native tongue is not English.
Someone bought 26.9 BTC on Binance and sent it to Satoshi's dead wallet
Well, probably nothing we build will. And probably nothing we say will last forever, actually last forever. We still use the word forever and other unprecise terms in common language. I also hate it at times, how unprecise (and wrong) normal language is. But I have given up on the habit of getting mad about it and rather go with the intent and not about the single words.

So no one meant literally indefinite energy here, it was meant, "potentially way more energy, than we currently need". And this is correct.
I was going to say something similar, but (if I remember right) technically we can go back to the V2?
I think we've lost some and gained other.

People may say that Discord and similar will compensate, greatly, as the number of interactions can grow a lot. On the other hand, I don't think the experience is comparable to fully focusing on the person you're eating in person with.
It's "words" and semantics all the way down
Calling it a “liberal” play is a pretty shallow swipe, and at this point I don’t even know what liberal means. This is an issue of worker’s rights, and the sad reality that as long as healthcare is tied to employment and workers can be fired for anything they say, free speech will be reserved for the class of people who don’t have to work.
> Bollocks. LLMs are beating lawyers, doctors, and software engineers at post-university exams. We are galloping towards AGI.

They sure are. Reality suggests otherwise: [0] [1] [2].

> What also happened in 2023 is that more than half a million H100s were installed globally, which are currently training the next-gen models you are guaranteed to hear about in the coming months.

What if the new model performs worse than the current generation? There is no guarantee that it will be better and there's always a risk that the model will perform badly, meaning that tens of millions of dollars wasted over a single quarter. [3]

[0] https://arstechnica.com/science/2024/01/dont-use-chatgpt-to-...

[1] https://arstechnica.com/tech-policy/2023/06/lawyers-have-rea...

[2] https://www.trendmicro.com/en_za/devops/23/e/chatgpt-securit...

[3] https://archive.is/wHYbn
Games are technically F2P, but the in-app purchases and progress are synced across platforms by the publisher.

Something like fortnite, once you purchase the battlepass/skin on one platform they are linked to the account and available across all the other platforms the game is available on.

This model essentially poses big challenges with physical media and game preservation. Puts the user at the mercy of the publisher.

IIRC Ubisoft pulled the plug on "The Crew" which is online only at the moment and is scheduled for deprication March of this year!

With regards to physical media, I think the game can skip the licence check on the account itself for the base game if it was launched from a disc/cartridge.
That will make for fun final reports when they inevitably crash and kill hundreds of Americans.
It would be great to hear about your point of view beyond the mass media and search engine issues.
There I read that Intel Gaudi is behind all NVIDIA products in all metrics except performance per dollar.

Since one can only access these in the Intel cloud, where Intel has essentially made the few of these that exist freely available, isn’t perf per dollar kind of a joke metric? I mean, if they are free to use, they have infinite perf per dollar. But if Intel were to sell them, you were to buy them, and then you were to pay for their power, then wouldn’t perf per dollar look completely different ?

The article seems to try really hard to avoid saying how much perf per watt these have and how expensive they are. Reads a bit like a marketing piece as part of some Intel / data bricks collab (all companies and vendors do these).
United Launch Alliance

And it's already happening, see the Vulcan and CST programs.
I had the fist generation Dell XPS developer laptop with Linux. It was a pain in the ass.

One big problem was the resolution. I don't exactly remember why, but I had to take the version with a 4k display to get something else I wanted to have. The installed system came with a wide variety of X hacks and customisation to have a reasonable scaling of the GUI. Using another OS was a nightmare as wead upgrading the system. Every chance in X would destroy some kind of customisation leaving you with hours of research until you found some other unhappy customer that has already fixed this issue. Additionally there were problems with the drivers for the multimedia keys on the keyboard and stuff I don't remember. At least the first generation was a nice piece of hardware with a horrible hack of an OS.

Are those kinds of problems now fixed? The author does not mention that there is (was) a big problem with software support from Dell. So I am not sure if I can trust his review.
Cells don't need to, as they can be… "renewed", you might say.
Does rubygems / go have "protections" against this?

Is npm specifically vulnerable to this kind of thing? Or is it just a cultural elelemnt of npm that there are more micro-packages?
There was Intel VTune, which I heard was good, though I haven't used it myself. One difficulty is that there are many non-obvious and hard-to-predict factors that interact to produce pipeline stalls. Instructions had specified throughputs and latencies (throughout being the number of cycles before another independent instruction of that type could be initiated; latency being the number of cycles before its output could be used by another instruction), but that was only part of the story. Was that memory read from L1 cache? L2? Main memory? Is this conditional branch predictable? Which of the several applicable execution units will this micro-op get sent to? There were also occasional performance cliffs (alternating memory reads that were exactly some particular power of 2 apart would alias in the cache, leading to worst-case cache behaviour; tight loops that did not begin on a 16-byte boundary would confuse the instruction prefetcher on some CPUs...)

I may be getting x86 CPU generations mixed up. But having wrestled with all this, I can certainly see the appeal of hand-optimising for older, simpler CPUs like the 6510 used in the C64, where things were a lot more deterministic.
There is stb_image_write.h, with the function stbi_write_png().
If and when 3rd party payment options are allowed for apps, I will simply uninstall an app than embark on some journey of sharing payment and address information with all kinds of weird external pages. It’s easy to forget that what seems like an inconvenience for us tech folks, can be a serious issue for end users and presently, we don’t have a “popular, privacy focused” payment option to help support apps outside of the App Store.

Also as an indie dev myself, DHH’s reaction seems hilarious. Especially with his “keep politics out of the office” stance (which has apparently changed).
Lessons from building nine startups in 2023
> sufficiently visible and controversial off hours activities

The point is that it doesn’t have to be controversial at all. They can fire you for whatever reason they want. He didn’t cross any lines because there was never any line to begin with. His healthcare is at the mercy of a dictatorship.