skysight-inc/HackerNews huggingface dataset:
By the same reasoning, a CPU is no different to a GPU. They can both do matrix calculations.

A GPU is optimised for 3D rendering (and is useful for parallel computations in general). An NPU is optimised for neural network inferencing. These algorithms both involve matrix mathematics but they are not the same. The NPU hardware design matches the deep neural network inferencing algorithm. For example it has an "Activation Function" block dedicated to computing the activation function between neural network layers. It is optimised and specialised for one very specific algorithm: inferencing. A GPU would beat an NPU for training, and any other parallel computations besides inferencing.
When asked if they want a faster result or a higher quality one, they say both.

This was for an open ended coding test. I just wanted to know if they wanted to see if I could work fast, or produce a better structured solution.

I should have left right then. The interview did not get any better. At the end they asked repeatedly how I would deal with problem employees. I had just about figured they were problem employers by then.
how is america in any way relevant here? we were discussing china

you might be able to find american-designed (or european-designed, african-designed, antarctica-designed, etc.) chips that do something similar, but you can be pretty sure they will be made either in taiwan or in the rest of china

in a now-deleted response to this comment, you asked, 'How is it relevant in the thread I started by asking for american designed chips?'

you didn't ask for american-designed chips. you asked for non-chinese chips, but many chinese chips are american-designed (in some sense, all of them, since transistors and integrated circuits are both american inventions). literally what you said was

> Is there a non-Chinese equivalent of ESP that compares in terms of module integration re: Wifi et al? (but perhaps not cost)

i just went back to see if you'd edited your comment, but no, that's literally what you said, byte for byte
Maybe we can just start referring to them as the "Axis of Evil" or the "Unholy triumvirate".
Is it ok for a CEO to ban your phone from the office?
This was actually my father's arguement when I turned 16. He hypothesized that I was a new driver and therefore more likely to be involved in a crash, but if I wanted to survive a crash I needed a larger vehicle than the other one involved in the collision.

I didn't much care either way, but I do still consider this when comparing new vehicles.
> No one uses it for jack shit.

Dashboards are lossy, compressed selective subset of hyper processed data. They don't show the why, or how, or when.

yet they survive in the form of a report or a chart because they shift the control of the narrative on the designer of the dashboard. You pick and choose what you want to emphasize and what to hide. Convenient, if thats what you want.

OTOH, i've never found or resolved or identified a single issue from a dashboard. I've spent hours on why something wasn't highlighted or something was and found the culprit to be the dashboard itself.

Yep, jackshit
clickbait.google.com
Fear? That's been a fact as far as I've been aware since the big blowup back in mid '23. It got better, ish, with some of the updates they've dropped but it's still catastrophically losing money on every call.

I'm guessing that's going to be the needle that finally pops this bubble, because as neat as a lot of shit going on with various models is, nobody is going to pay what it actually costs to run the things in order to have that neatness.
The land owners do not always have a choice.

"Under split estate law, the surface owner must allow the mineral rights owner reasonable access. Protections for the surface owner vary; in some states an agreement is required that compensates them for the use of the land and reclaims the land after extraction is complete."

https://en.m.wikipedia.org/wiki/Fracking_in_the_United_State...
Why would he bring his phone though?
Hi Arthur!
There's a bit of confusion here. It looks like you're referring to _audio_ transcription; that is, passing the audio component into an ASR pipeline (like Whisper, Otter etc.) to generate a transcript of any spoken words. Our pipleline is meant for fine-grained 'transcriptions' of the _visual_ content of the video. For instance, any text on screen, contents of plots and graphs, the clothing worn by any participants, etc. (though we do transcribe the audio as well, its a multimodal pipeline!).
I really like the idea of ARC. But to me the problems seem like they require a lot of spatial world knowledge, more than they require abstract reasoning. Shapes overlapping each other, containing each other, slicing up and reassembling pieces, denoising regular geometric shapes, you can call them "core knowledge" but to me it seems like they are more like "things that are intuitive to human visual processing".

Would an intelligent but blind human be able to solve these problems?

I'm worried that we will need more than 800 examples to solve these problems, not because the abstract reasoning is so difficult, but because the problems require spatial knowledge that we intelligent humans learn with far more than 800 training examples.
Yeah that was my comment at the bottom of that thread.

But generally this was kind of a big deal and it mostly flew under the radar. I don’t think most people who care about endocrine disruptors knew that the FDA did this, and 2023 is not very long ago IMO.
Mistral is one of the few AI companies I am extremely excited to see get better funded.

I'm working on a local product (coming soon™) that uses Mistral-7B-Instruct-v0.2 under the hood. Parsing screen reader text (and taking actions, etc.) via local LLMs is, in my humble opinion, the future of computing. Even though getting it right is hard, and there's lots of edge cases, it's pretty awesome when it works. Mistral has been (by far) the most reliable model to date. I'm likely going to be fine tuning it over the next few months, but here it is working on Windows and MacOS in both web browser[1] and file manager[2] contexts.

[1] https://vimeo.com/931907811

[2] https://dvt.name/wp-content/uploads/2024/04/image-11.png
It doesn't scale in the sense of "How can I determine which of the 27 things on the label are likely to be bad for me?"
The issue was the Chicken Tax which made foreign competition uncompetitive and boxed the market off so that American companies could ignore it.
Citation? Because I haven't been able to find any such thing in my research.
Looks like Mistral AI just caught a $640 million mistral!
"Never" is a false hope when the average lifespan of a phone is something like 2.5 years.

The battery will fail, it's just a matter of time. The screen will become cracked. The charge port will become corroded or loose. Water intrusion will happen and be unrepairable because it's inaccessible and uncleanable, not because anything's been dissolved.

Yes, eventually the hardware will be inadequate to keep up with modern apps and websites, but I think we're to the point of diminishing returns on laptops and close to it on smartphones.

And yes, eventually the software will not be supported, but that's a problem of hardware churn and economics, not engineering and durability.

A short lifespan is largely because it's not repairable, not in spite of it being repairable.
If anyone is looking for a similar cross-platform and open source solution, CopyQ[1] is handy and scriptable.

[1] https://hluk.github.io/CopyQ/
It is the same reason in software sometimes you batch operations:

When you add two numbers, the GPU needs to do a lot more stuff besides the addition.

If you implemented SIMT by having multiple cores, you would need to do the extra stuff once per core, so you wouldn't save power (and you have a fixed power budget).
With SIMD, you get $NUM_LANES additions, but you do the extra stuff only once, saving power.

(See this article by OP, which goes into more details: https://yosefk.com/blog/its-done-in-hardware-so-its-cheap.ht...
)
It's just classic dependency issues. I'm not familiar with swift specifics, but probably a combination of ABI instability and just plain version incompatibility from one distro to the next with your target program.

My opinion is the opposite: I think the old paradigm of distros managing a giant set of system libraries is a bad one, and is how we ended up in the land of docker. Go and Rust made the right decisions here: vendor all the dependencies, and distros can't mess with them. Makes it easier for upstream and the distro.

Modern languages are not like C/C++: a single non-trivial rust program can easily depend on 100+ crates, and re-creating crates.io in your package manager is just a bad idea, even putting aside that there's probably major version incompatibilities the moment you go beyond a handful of programs. Look at the disaster that's python package management, that's not where you want to end up.
But the signaling channels weren't used to send SMS before SMS existed (which the original statement of "unused" implied).
Um, yes?

And nothing whatever about this problem is US-specific.

But the world's Haves have never needed much more than a hand-wave, to convince themselves that the sufferings of the Have-Nots are some convenient combination of slight, easily avoided, and well-deserved.
That kind of thing happened to me once when my mom came into my room to call me to dinner while I has busy programming, and I told her I'd be there in five minutes. I went to dinner an hour late and asked why nobody had bothered to tell me.
Ok, potentially stupid question, but if you're already using the grid as a control signal what do you need the external clock for?
Do you know any good tutorial for ISPC? Documentation is a bit sparse.
The big question is....whose going to play Elon Musk in the true-to-life film version, about the slow downfall of the man who wanted to be king of everything, but ended up a nothing as part of a musical duo with Kanye West, with a Reno casino resort residency.
This bus used to go through countries like Afghanistan that were definitely below the median back then too
> I reply, taking your knight while it moves through a5

Knights don't move through intermediate spaces. They are unlike every other chess piece in that regard.
>how OpenAI essentially morphed into a for-profit entity

This is my big issue with them as well, and the fact that they still stick to 'Open'AI as their name. They might as well just sell themselves to Microsoft at this point.

Of course that lawsuit probably was not going to go anywhere though, seems like it was just for publicity.
Many people also hate mearsheimer if he talks about what he predicts will happen vs what he'd like to happen (Ukraine or Israel).
> catastrophically losing money on every call

You're going to have to bring some actual numbers on that speculation.
Airdrop just about never works for me. It’s slow to connect if it connects at all. And this is between my own devices connected to the same iCloud account.
I'm in my 40s, main job is parenting & homemaking, previously taught high school physics, math, and other science, also did some engineering/materials science, and I also do part-time work for a local public utility. I like it being feasible to walk to work again.

As we layer on the abstractions I feel further and further removed from the land that sustains us. It's an existential threat. I don't knowingly choose to use any products of LLM/ML, and I've scaled back my computer use to: reading some blogs (low tech magazine & no tech magazine, plus sites linked from there); access to library ebooks; medical access for family; credit-unioning; watching a streamed show with my spouse for date night or something on PBS with the family (otherwise I don't bother with streaming, and I can imagine a time again when I don't even read, but a lot has to heal/reassemble for that to be tenable); and keeping up distance friendships via videogames (BG3 and Solium Infernum are all I play these days, and then almost never solo, after decades of "self-medicating" after a rough childhood).

I read mostly nonfiction now, towards being a knowledgeable member of the rural community I'm in, inspired in part by Jessica Carew Kraft's book Why We Need to be Wild. We're in this together, and the best place to start is with those within walking distance.
For people who want more examples of this “vibe”, here’s a tiny subset of places / people / projects to check out:

https://futureofcoding.org/catalog/

https://cristobal.space/writing/folk-computer.html

https://dynamicland.org/

https://www.inkandswitch.com/local-first/

https://www.geoffreylitt.com/

https://maggieappleton.com/folk-interfaces
Yes but that does not explain why better text prediction is worth $6B to these people
It’s a classic problem. The trick is to make sure you’re not competing on cost alone. Small to midsized companies are better off focusing on other differentiators. The extra money those differentiators brings makes their business more sustainable, too.

You can actually see it in paid, web stacks. There’s free ones, esp FOSS, that are really good. So, the paid contenders try to be better at other things. There’s many of them in the market, too, despite over a decade of free alternatives.
She was one of the people who literally built the technical foundation of the world we know. That alone justifies all the upvotes.

The fact that she did that on top of basically starting life over at 30 due to the constraints around transition at that time? That's winning a marathon with a cinder block chained to your ankle.

As far as the concentration of trans people in computing, AFAIK there are two predominant theories: First, survivorship bias involving careers that are often non-customer-facing and well-paying. Second, that there's common cause or comorbidity with other developmental differences (like ASD or 2SD+ IQ) that are unusually common among people who end up in computing.
At least someone acknowledged my presence - AGI
I've implemented self-serve analytics at three organizations successfully. It's important your data is well organized, well labeled/defined, and the BI tool needs to allow you to configure guardrails around how data is queried. I have used Looker as the BI tool at all three organizations. End users do not need to even define joins. They just select the grouping and aggregate columns they want to return and click run, then configure their visualization from the data. It is true that some users are not data literate and still will not run their own queries, but from my experience a lot of non-technical business users love being able to easily explore data themselves, and the business receives a lot of value from it.
yes, in the usa right now things are not bad; they have improved dramatically, especially in the last ten years. still, even within the usa, i think the statistics you're looking at are skewed by a variety of demographic factors
Earth's population is constantly growing, thus yes.
That's because an LLM needs the relevant information to answer correctly. Agents can research your question by searching the web, and use the information gathered from there to answer.
Would astronauts' kidneys survive a roundtrip to Mars?
> I'm curious which browser are you using?

Tor Browser

> Well without the service worker it wouldn't work offline any more and that's one of the key features.

Thanks, that definitely seems worthwhile then!
That doesn't seem all that different from netscape and how it included a wysiwyg editor.

Obviously this is much harder given how much more server side the modern internet is. But i think the more fundamental problem is that 99% of users dudn't want this in the past and still dont really want this.
Oracle Cloud is a bad product and I wouldn't recommend. I'm guessing Oracle practically gifted OpenAI compute to make this possible and that this announcement is the whole purpose (i.e. "look at us, we're equal to AWS/Azure!!! OpenAI runs here!!!").

Oracle and Google Cloud have been doing this stuff constantly.
>> Is this volume of upvotes due to this person being accomplished in their field or because of the transgender thing

Yes.

>> What is it about computing that it has such a high concentration of trans people compared to other fields.

First, prove your thesis: what is this “high concentration” and what “other fields” are you talking about? There seem to be a great deal of trans people in a great many places, and now that they’re less likely to be hatecrimed, they’re more likely to be out.

If I had to guess why there are more (if there are)- computers allow people to exist as they want to be. Female avatar? Go for it. Anonymous shitposting of your most terrible racist/bigoted thoughts? Vent thine spleen.

Also, most nerds are weird, which leads to many of them developing a great deal of empathy and a great distaste for exclusion. As a demographic, “computers” tends to attract a great deal of nerds with very strong feelings of right/wrong. That’s why I’m here: the jocks didn’t want me and the theater kids were too dramatic so I stuck it out with the geeks and weirdos (who also didn’t give a fuck who I wanted to sleep with as long as I could hold my own in the D&D campaign).
> Not sure I understand that. Is it something specific to Swift, or is it exactly what is expected from using shared libraries?

More of a shared library issue I believe.

> Say my Linux distribution distributes some Swift runtime, then the corresponding Swift packages should have been built for this runtime as well. Just like when my Linux distribution distributes a libc, the corresponding packages need to be built for this libc. Right?

That's correct
Any source for the 10% number?
What did he recommended?
Altman has a basically fine image I think, in the sense that nobody outside of tech circles knows his name, and everyone in tech circles must at least admit that he’s good at getting investors.

Musk has a reputation as being too demanding, which is one thing if you are doing something revolutionary, but nowadays the market has mostly caught up to his cars. It seems all that over-working his employees has done is produced poor QA.

He’s also politically alienating to liberals, who would otherwise be inclined to buy his cars.
No, I'm saying that the level of enforcement applied to a game is not proportional with the triviality of it being, a game.
Anytype is such a tool, local-first and synced via IPFS. It just works. And it's so flexible! And it recently got support for shared spaces, which works really well.
A quick browse of the comments will educate you on the massive contributions she made both before and after her transition.
From the docket (https://webapps.sftc.org/ci/CaseInfo.dll?CaseNum=CGC24612746, if links work correctly), it seems that this is Musk dismissing the case without prejudice (i.e., he can litigate the claims again if he wants) on the eve of a hearing asking the case to be dismissed with prejudice (i.e., precluding him from litigating the claims again).

Which makes me think this is a "you can't fire me because I quit" kind of action.
I am not in California. Rest assured, though that not only is my family background from one of your “middle section” countries in question, I have many Ukrainian and Russian friends. Let us not pretend you’re referring to some incipient Middle Eastern or Central/South Asian Chaadayev here.
I could have been a contender :).
This is a strange comment. Economic success and executive pay packages don't disqualify the claim that there is an image problem.

If anything, Musk getting a $45B package after a year of failures and layoffs at Tesla is something that tarnishes Musk and Tesla's image. The fact that this cash package is almost exactly what he owes creditors for the loans he took out buying Twitter, it almost looks like he's begging Tesla for an undo button for his own terrible decisions.

As for Apple making a deal with OpenAI, the fact that every product integrating ChatGPT is just being ruthless enshittified as a result, this is terrible optics for Apple when their biggest competitor, Microsoft, is currently playing target practice with its feet shipping poorly advised AI integrations (see: Recall).

As for OpenAI's image, the only thing they have going for them is the technical impressiveness of ChatGPT - organizationally everyone I know in the tech space assumes that OpenAI is a dumpster fire of a company.
> Some saw the book as especially dangerous because it claimed to be based on rigorous science, was published by an imprint of the National Academy of Sciences, and argued that MTF sex changes are motivated primarily by erotic interests and not by the problem of having the gender identity common to one sex in the body of the other.

Yeah, because at the age of 6 when I wanted to be more like mom, it was motivated by erotic interest /s. When my family refers to me as she/her, and I feel an immense amount of joy (as many trans women feel in similar circumstances) it's because of erotic interest /s. When I lose every advantage I have from looking like a good looking cis passing, white passing, straight passing "man" to something society thinks is a freakish abomination, I'm doing so for erotic interests /s.

There are no uncomfortable truths here, just a transphobic agenda being pushed by someone who seems to have never really tried to understand a trans woman in their life. I love the lengths people will go to to listen to anyone except the people that are actually going through it.
Well... the long story short is that a smart-grid works better than a classic one. This example is a very limited kind of smartness, just "stop what you can stop on a strained grid to keep it up", for certain kind of loads in certain countries is a mandatory things: in France IVRE norms for domestic EV charging stations demand a device connected to the utility meter data port (2-wires system) to allow the grid stop (and potentially in the future just regulating the maximum allowed amps) a charge if needed, in some other countries I've read it's common to have connected thermostats the grid can tweak to lower heating/condition when there is too much energy demand.

The issue of a smart grid though it's the fact that we need software from various actors, talking together, to regulate a DELICATE and CRITICAL infra. Just imaging if in a nation-wide smart-grid a bug or an attack tell all connected cars/chargers "please charge at maximum amps, we have a renewable production spike, we need load to lower the frequency" while the grid is definitively NOT in such situation or simply the potential cascading effects of some smart-grid demand that can't be immediately applied by all smart-connected customers, creating something we can see also in domestic p.v. with ac-coupled classic string inverters, where the battery inverter demand more energy to the p.v. inverter, while a small cloud reduce the p.v. output, the cloud go, the p.v. suddenly inject much more and the battery inverter flip "reduce, reduce, reduce", another cloud, another spike.

IMVHO there is so far no tech safe enough for a PUBLIC smart-grid, we can at maximum have smart-grid-homes meaning local batteries (perhaps small + the EVs in V2H bi-directional direct DC-to-DC mode, since most cars use 400V batteries as most p.v. hybrid inverters on sale, there is no damn reason for a double DC-AC-DC conversion like Tesla PowerWall and others do) and local p.v. keeping a separate home grid, with the national grid directly powering only the main inverter or islandic device. The local system can just keep watching grid frequency shifting regulating the eventual p.v. surplus injection only if the grid frequency is a bit low, and using batteries to a certain SOC level if there is no p.v. and grid frequency is low and tend to trend lower in a certain timeframe.

It's not smart, but at least it can't destabilize the grid much, an eventual attacker must been able to poison frequency shifting signals witch typically means having last mile physical access on the grid, something doable locally, but hard to do at a nation-wide or at least wide-enough areas to destabilize the grid.