skysight-inc/HackerNews huggingface dataset:
It's a long watch for sure, and it's just laying out the plan. To answer your question, basically they want to build locomotive style kits (diesel power, electric drive train), except with the addition of batteries. So, 3.6L Caterpillar diesel (next year) to generator, with smallish batteries and two electric drive axles, and probably update dashboards depending on the kit. Cool plan, but if you don't have 40 minutes now, I'd wait and watch later in the year as they release more and talk about the build process.
Ah yup I agree, I think I am wrong to make the comparison between Google and ChatGPT here. I am not nearly as concerned about the problems with Google as with potential problems with ChatGPT (or whatever the most popular equivalent is in the future). I do think an AI service will be as important as Google in the future. I think the negative externalities this time might not be trivial considering what ChatGPT promises the user (basic Google search still is in general just a way to find some webpages or immediate info, while an AI homepage is a way to create things or communicate with others...).
Have a vague feeling India is among the winners. My (oversized for my use) residential system pays back in less than 33 months. I see US systems paid for by loan and pays back in 7 years.
I wouldn't say I'm great, but the best ones I know have been excellent at understanding code just by reading it. Lots of stuff gets abstracted out from docs, often at the drivers level.

It's not just about knowing the framework, but where it breaks, where it shines, how it's meant to be used. Which part is being held together with duct tape? How is it processing a certain graphics type?
Deep learning is still not production ready.

Maybe 90% of the results are great, but the other 10% are not only 'not great' but plain wrong and sometimes even dangerous.

And I think gp posts is also showing that the last bump to make it production ready is still not taken and might even be impossible to take.
The best language for sysadmin is the one you know. Obviously better yet if your co workers share competency and best of all is statically linked on the boot media.

Some days dd, ed and shell is all you have.
Stuff with a lot of simultaneous i/o that needs to be processed simultaneously, is one answer.

https://www.intel.com/content/www/us/en/healthcare-it/produc...
Lombard credit on fake accounting?
"That's a really cool security aware script language you've got there! So.. um.. how can I extend it to call third party libraries?"

Perhaps the idea that "the computer" is one single entity with a shared security domain and view of hardware is the flaw. Why can my web browser read my tax documents unless I go through a bunch of rather absurd efforts to prevent something so simple?
Wow, 25” of change is massive. I’m in SoCal, and I can’t think of anything that would be immediately broken by that, but flooding during bad storms would certainly get worse. I wonder if there are places that would immediately be in trouble? Perhaps the Netherlands, New Orleans, Venice?
Because people are lazy, and phone makers haven't all agreed on a single sharing app that's preinstalled on every device. Apple own their own ecosystem but are famously "FUCK YOU" to every other platform, but inside their walled garden, AirDrop.
I read the mostly negative comments but actually rate limiting is a vast subject. It can be hacked in less than half an hour or it can take days. It depends on the degree of sophistication that an app needs.

Sometimes we want to rate limit ourselves not to be temporarily banned from another service with a rate limit on its API. This SaaS can be used for that too. I built a system like that for a customer of mine and it didn't take half an hour. The free tier or the $5 per month would have cost my customer less. Furthermore it would work globally on all our machines on different networks. I remember that I told my customer that we would need a rate limiting server to keep track of the global limits, but the answer was to keep working on features and keep using our imperfect solution until we don't run into troubles.
From the article: “Deep learning, which is fundamentally a technique for recognizing patterns, is at its best when all we need are rough-ready results, where stakes are low and perfect results optional“

It is somewhat embarrassing how many tasks, from customer service to sportswriting to
language translation to article summarizing to concept art for films, can be handled by deep learning at its current level of competence. That says more about the problem spaces and human intelligence that it does about deep learning.
Oooh, I stand accused of wrongthink. Too bad that's permitted here.
I'm not interested in any of those issues. I only raise them as counterexamples to the answers given previously.

What I am interested in is whether the M3 or M2 is better future-proofing option even for casual usage, on a 5+ year timescale. Imagine using a 2011 MBA today, is the kind of scenario I have in actual practice. Apple is known for making computers that last.

It also turns out that Ars Technica suggests an answer to the above, they recommend the M3 because it offers 2 extra years of future-proofing over the M2 due to Apple's OS update practices. It was in their Friday's review article. That's an acceptable enough answer for me for now.

I am secondarily actually curious as to the performance of an M2+16GB option over the M3. That, I don't have an answer to. But it also happens to be a good example to work over for anyone who asserts Macs have better memory management than Windows, since that depth of understanding implies - to me - the ability to explain the role of an extra 8 GB of M2 apparently being more valueable than an M3. It's a technical question but an interesting one purely for understanding purposes.
I tried to set up Dart runtime and run cli on a Linux server. Then I realized that it just prints a message and quits. Maybe it's better to directly tell user cli isn't implemented yet.
I make liberal use of sudo -i on my personal Linux machines, because otherwise I have to prefix sudo to 99% of my commands and be arsed to enter passwords if I dilly dally too long between commands.
I use dbmate and for a deployment I package up the migration files into a docker container which runs and then applies the changes.

Firstly I use a devcontainer for development so I know my versions line up.
dbmate uses .sql files which also makes things a lot easier.

You can see my setup here https://github.com/bionic-gpt/bionic-gpt

Have a look at the CONTRIBUTING.md to get an idea of the dev workflow.
The third paragraph.
I don't know much about RU. I don't know about RU specifically, cusory search suggest RU has 7/144 (5%) english speakers, prc has 10/1400 (0.07%), so thats the supply demand happening behind the scenes. It's why there was so many expats with no mandarin skills randomly making living teaching English in PRC. If PRC citizen has fluent English skills and also speak mandarin, you can charge stupid amounts for private tutoring or work in private sector. I would say most of pro PRC content are either tankies or Chinese diasphora abroad, including non Chinese citizens who don't agree with MSM narrative. There's about 10M in Anglo/FVEY countries, that's large enough base to have people who are organically pro PRC, or rather not anti PRC.

In terms of state directed actions, RU/USSR has longer history/experience with foreign subversive influenc operations. They're not taking out full page ads to post editorials on western news paper like PRC, which is just clunky. Bulk of PRC work is focused on now largely defunct United Front presence in west, or on PRC social media platforms in Chinese to target diasphora in Chinese etc. It's running joke in PRC that PRC foreign propaganda department is staffed by incompetent old guards who can't even out influence anti PRC EpocheTimes.
My Liège is not so vile a sin
"Turns out going from 99.9% accurate to 99.99% accurate (or whatever the numbers were) is harder than all the believers wanted to admit."

True. But Calfornia's DMV makes Waymo publish their stats, and they get maybe 50% better each year. That's a good rate of gain.
No personal criticism of this person, but:

"The glass isn't full yet. Sure its filling, but its filling and its not full yet, so obviously no matter how much you fill it, we know that doesn't actually fill it."

..is my breakdown on these non-expert non-specific (mathematically, algorithmically, information theoretically, any relevant expertise at all, ...) cynics.

If he had predicted the progress that was made just in the last two years, it would give some crediblity to his opinions about what wasn't going to improve. But he didn't have that insight. He has no idea what's already cooking in the research kitchen.

But if am going to critque predictions, shouldn't I put myself on the line?

So here is my prediction: when general AI decisively advances past us, a lot of people will feel a strong need to write and read articles about how AI doesn't have a soul. And their creations have no heart. And no progress will ever be able to fix this. Despite a lack of concrete or coherent definitions, this will matter a great deal to them.
Some say that rust is what they get their energy from.
Yea, it will probably never end as Palestines have a right according to international law to attack Israel as they are occupied by them. Even if Hamas disappear as an organisation the resistance part will continue and there will probably never be peace until Palestines get the country they were promised and the illegal settlements are removed.
The minus 0x400 shift appears to work like this:

Seek(fd, 0xA0020000 - 0x400);

We seek to 0x400 before where we need to write the data

SendWrite(fd, foo, 0x400, false);

We set the first 0x400 bytes of what we want to write to 0

SendWrite(fd, fw, fwsize, true);

We then set the rest of the bytes to our data.

SendEndSecpack(fd);

The iphone copies the data from 0x400 bytes onwards (which is all the data we wanted to write), then tries to verify the signature and fails. If the signature could be verified the first 0x400 bytes (which we left as all zeros) would then be copied.
After reading both his big books and seeing a few interviews, I am left with the sense that he is just a new spin on the old ceremony.

Example: He has a positive view on the gender gains of the last 100 years and a broad definition of gender in the future[1], but still believes in gender essentialist stuff [2]. If forced, I'd rather people adopt his views over those of others, so you are right there. But the bones of his arguments are the same ones we've heard for ages repackaged with an affect of intelligence that is agreeable to modern sensibilities.

As an aside, regardless of whether you believe in gender essentialism or not, having someone talking out of both sides of an argument doesn't instill a ton of confidence that the individual has considered the interplay of their arguments.

[1]: https://www.youtube.com/watch?v=KqiXae9eLPY

[2]: https://youtu.be/TYAKHLrr51w?t=128
I've snatched git.new/code we had so much fun with the team trying to come up with links.
Related: https://paulgraham.com/getideas.html
No, the movie is a parody of corporate culture; the character in the scene is being totally serious.
Welcome to #GlobalTalk
And so it begins. The Advent of the non paper reader. I don't know, whether it's a good thing or a bad thing.
Holy shit. I was thinking about this use-case the other day. I was thinking about whether a deep learning model could draw on the internet to identify objects in film screen captures and determine what they were or if they were unique.

For example, I was watching the news and wondered if a mostly submerged vehicle was either a modern Jeep or an older Land Rover. Certainly AI/ML is the right tool for this task.
I don't really know what you mean by network effects, but perhaps we're just talking about two different things: you are looking at eBPF as a substrate to deliver arbitrary software (?!) whereas I view DTrace exclusively as a diagnostic tool. As to their relative capabilities: its other potential advantages aside, eBPF (and the tooling built upon it like bcc) lacks much of the functionality and polish of DTrace when attempting to accurately instrument the system. Its lack of robustness makes even basic instrumentation challenging,[0] let alone the richer (and admittedly, more esoteric) features of DTrace that it's missing entirely.

[0] https://oxide-and-friends.transistor.fm/episodes/mr-nagles-w...
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I read this with interest.

Why is your response as a Muslim to the horrific attack of Oct 7th a worry about backlash to you personally? vs. e.g. feeling for the victims of that attack?

This feels very tribal to me. Do you really think this is the right framing?

If Israelis suffer, is that somehow going to fix your problem? Are we trying to make things better to all or make things worse for all but feel like we're doing something? It seems to me the protests are doing the latter. I think, and I might be naive, that if the global Muslim community engaged with the intent of finding ways to make this win-win, we could get somewhere. But it seems the community is engaged in lose-lose (or maybe lose-lose-lose).
>> surgeons, doctors, pharma researchers

Who paid their rent and university fees while they were studying for 10 years to become a doctor?
Would you apply the same line of reasoning to flying? That branch of engineering had a huge amount of detractors too who were confidently right until they weren't. My point is, no one knows how close we are to AGI. Taking the sceptical stance is rewarding because you're right most of the time, except when you aren't in which case you're astronomically wrong.
Intuition is a process of slight blind guesses in a system that was built/proposed by a similar organism, in a way that resembles previous systems. Once you get into things like advanced physics, advanced biology, etc, intuition evaporates. Remember these SR/GR things? How intuitive were these? I’d say the current AI is pure intuition in this Q'-ZipQA-A' sense, cause all it does is blind guessing the descent path.
I think this is for a different kind of rate limiting. E.g. you have a website with a couple of servers, and you want to limit the number of chatGPT requests those servers are making per day. 10ms is meaningless to the chatGPT 12s p50.

You could spend an hour making your own persistence/coordination solution - or spend a minute and 5 bucks to call this service.
It is!

What langs have it? I mean besides (shudder) bash? Because groovy with assigns it to an explicit car you name at each state, otle the implicit "it" of the closure scope.
Even with the Great Firewall, Chinese Wikipedia is the eighth largest by number of edits, daily views, and active users: https://meta.wikimedia.org/wiki/List_of_Wikipedias/Table2

Chinese topics are usually well-covered on the Chinese Wikipedia, the lack of an English-language article is more likely to be attributable to a shortage of English-Chinese bilinguals translating that information.

Do you have some particular train system in mind?
Splade: Sparse Neural Search
Is this some kind of mantra? Seems kind of anti-intellectual and borderline culty. "There is no argument"

I still think generative AI is an exciting technology but the tech hype wave brainrot makes working in this space such a slog
What do mean, "not falsifiable"?

Do we have self-driving cars? LLM attorneys? LLM radiologists?

No, no and no.

And the continuous failure of self-driving cars should worry you.
Just in case anyone else is thinking "WTF is RAG?" (I wish GitHub had explanation popups for its tags, like StackOverflow):

https://aws.amazon.com/what-is/retrieval-augmented-generatio...
WiringPi GA Release 3.1
Trust is a soap bubble, takes time to make big and plops at the slightest touch.
I only tried GPT4 but it has a way better command of language than many people I know and I include myself in that. If GPT4 doesn't understand language, then I don't either.
> Why is one a humanitarian tragedy but the other an unnacceptable attack. You're trying to absolve Israel of its role in the killing of 30,000 civilians over 5 months, to the condemnation of the entire world.

If you want to argue with someone who said any of that, find someone who actually said it. Pointing out that Israel is an inherently inequitable ethnostate should have made it pretty clear I'm hardly trying to "absolve" Israel of anything, and that's not the only clue in my comment.

If you're having trouble parsing out what I actually said, you're welcome to ask actual questions rather than rhetorically leading ones (much less wildly putting words in my mouth).

You might also find how I responded in another branch helpful:

https://news.ycombinator.com/item?id=39662944

as well as meditating the difference between speaking in terms of the understandable and the excusable.

> Finally, to be clear the protest is of a Google exec by a Google employee over a google policy/contract which is part of the IDF's murderous policy.

You might imagine Google has leverage (that perhaps a sufficiently large number of employees could apply themselves to) with Israel to get them to abandon their current policy by threatening to withdraw from their contract. It's pretty likely that they don't, even assuming what Google provides isn't fungible.

One of Hamas' goals is apparently to provoke Israel to continue to kill civilians in hopes that it ruins Israel's relations with various western institutions. If that starts to actually work even with smaller stakes players like Google, it's likely enough they'll do more of what works.

And it actually gets traction fairly easily because there are people in the Israeli government who, as you point out, apparently prefer unrestrained aggression as a strategy for advancing various internal agendas. And some of them have the talent for actually consolidating internal power as international criticism and isolation increases.

This conflict is happening both because real grievances provide the groundwork and because there are actors on both sides of the conflict who genuinely think they have something to gain from acting as they have since October, even in the face of unconscionable slaughter (which can, after all, be converted to grievance fuel). The United States government can barely bring to bear pressure that restrains it. The idea that Google can do much seems even thinner.

(I agree, by the way, that Israel has responded in ways that are wrong morally and probably wrong strategically. It's similar in some ways to US mistakes post 9/11, and our eventual transition to more focused counterterrorism criminal and military ops seems to have worked out much better for us, though Israel has enough plausibly different problems I'm sure there are some apples and oranges.)
Scheduling latency, IO latency, and their role in Linux responsiveness
> Would you apply the same line of reasoning to flying?

No, because I have no idea who predicted what at which point in time.

Or yes, because it took [hundreds? thousands?] of years before someone managed to get it to work. We've only worked on LLMs for so long.

i.e. I have no idea how to answer your question, other than to point out the prediction here was not "never", but rather "not in the next 10 years".
Grid cells and place cells are among the very few examples where we actually know what a population of neurons is doing. This is exciting for at least two reasons:

1. If we know what the neurons do, we can start trying to understand how they do it. Like at the circuit level. And if we can figure that out, this will very likely help us figure out what other neurons are doing and how their circuits work. Currently very little is understood.

2. There's a lot of speculation that grid cells are also used for higher-level cognition, to represent relations between more abstract things. This is one of the two main theses of '1000 Brains' by neuroscientist Jeff Hawkins.

Why are these two things interesting? Well wouldn't it be cool to understand how the brain works? It might help us build AI that learns as fast as we do (chat GPT was trained on more text than one could read in many lifetimes). It might help us augment our own intelligence. These are very long-term goals of course, but understanding grid and place cells seems like a reasonable starting point.
That must be unusual? I would have thought any settlement would have included "take down the code" as priority #1.
Sorry I missed the part “no wifi routers available”. They need to be on the same Wifi with this app, you’re right.
> Linux distros could learn a thing or two (or 100) from how iOS handles security.

Sorry no, I don't want my Linux to become like iOS. iOS security model "all powers to the manufacturer" is broken model and doesn't work.
That said, I would like to see some references for your claims.
Rockstar should've just worked with modders instead of whoever produced the garbage re-masters. Like fans have more respect and love for GTA than anybody working at Rockstar. Fuck this company.
No one is beholden to anyone in this war.

With this kind of situation, a "threaten" company has no choice but to take the less bad option. And people will not understand the real reason or what actually threatening.

The ridiculous is US was always the freedom symbol for everything. I wonder if such kind of freedom only exists when US is the strongest one and others are far behind? But it's understandable that the US election day is coming.