skysight-inc/HackerNews huggingface dataset:
I honestly think we're less than 10 years out. Some of the stuff coming out of GPT-4 is clearly some sort of intelligence that's beyond human level, in speed at the very least, and often in quality. It has about 2 orders of magnitude more parameters than the human brain has neurons.

I'm not saying you're necessarily wrong about there being a lot of harm in using AI as a weapon. But even then, I'd MUCH rather live in a world where, say, China develops AI weaponry and uses it to conquer everyone else and rules with an iron fist, than a world where an super-intelligent AGI decides to get ALL of humanity out of the way in the pursuit of whatever mis-aligned goal it happened to learn, be that military power or curing cancer.

Of course, we might get one and then the other. Yay. I'm still not giving up until the killer drones are flying down the street shooting everyone in sight, or the nanobots are turning everyone into sludge, or whatever.
Sam Raimi made quite a good version of 30 Days of Night

https://youtu.be/8ClVrVK_y0E
It's possible to run with a cpu and then use system memory.
It's not the Internet but the Attention Economy running on top that is the disappointment. As Attention collapses, with info exploding, fingers crossed, the attention economy shall collapses too.
Every set seems to have some unique pieces, which seems to go against the thought of building other or new models with combined kits, since those unique pieces are hard to integrate. For some reason, kids today just tend to like build-and-forget rather than create/build. It might as well be similar to assembling Playmobil.
I’d say it’s pretty good for touch screen kiosks, digital signage, and certain interactive creative works.
The F-35 was never billed as an air superiority fighter. The basic idea was a stealth version of the F-16. It was always designed in mind with the F-22 performing the Hi in the Hi-Lo mix.

Your comment is woefully uninformed and misleading.
The NLRB process is to first find the company guilty no matter what, and then look for convenient soundbite-ready justifications later.
A statically typed javascript with pattern matching can be nice.
I'm curious about what constitutes a profuse apology. Does it include long explanations? Or does it take into account how the other party was inconvenienced?

I'd love to know this. Are there any great books about Japanese culture?
Printing money is not investing, it is just grabbing normal people’s money.
BTW the ThinkPad X13s battery life is amazing, far ahead of any x86 laptop that you can buy today.
I've just logged into my corp Godaddy account using Firefox on Arch (actually). I'm not hiding my user agent. I haven't used Windows for over 15 years.

I suspect that a lack of Javascript is the culprit, as mentioned in the error report.
The trigonometry thing is simply a marketing gimmick for this proof. There is no more or less trigonometry in this proof than there is in Einstein's proof. In fact, you can just taken Einstein's construction and reformulated that proof in their language by using sine rule instead of similar triangles. But then the gimmick would be too obvious.

Somehow the second gimmick (the infinite series construction instead of Einstein's elegant and simple construction) makes our monkey brains not notice the first gimmick.
Parasites. Predators. And prey, too.

https://www.wired.com/2014/09/absurd-creature-of-the-week-di...
https://eartharchives.org/articles/aggressive-mimicry-ten-an...
https://en.m.wikipedia.org/wiki/Mimicry
Tjose tea clippers are amazing ships, the peak of sail boat engineering. And yes, that includes modern foils boats, as clippers are significantly larger. So yes, R&D would be limited. Building a modern version of a clipper so might be expensive. And then, well, those clippers were replaced quite early by steam powered ships tgat can only be called tiney and slow by modern standards. That, and they didn't even carry containers. But hey, maybe there is still some VC money to be grabbed through fancy renderings and pitch decks.
I'd call them "naive" and "experienced".
Not sure where you're getting your figures, but the B2 has been out of production for decades, and the cost for the F-35 is below a new build F-16.
Dubai? Extremely bad advice unless you deeply understand the sometimes “crazy” implications of their Sharia based laws e.g. debts:

The UAE has no bankruptcy laws, so there is no protection for those who fail to meet their car repayments, pay off their credit cards or default on their mortgage, even accidentally.

Anyone who fails to make their payments faces imprisonment in the notoriously tough prisons of the United Arab Emirates, and the Sharia-influenced debt offences have even led Interpol to circulate red alerts to capture indebted Europeans attempting to flee the UAE.

There have been previously recorded cases of foreign workers being prevented from leaving the Emirates after being blacklisted for simply missing one credit card payment or bouncing a cheque. As a result, many expats are forced to abandon their lives to avoid jail time, often with their car keys still in the ignition.

I would bet they fixed their information systems, and you couldn’t now leave if you happen to screw up.

https://www.carkeys.co.uk/news/the-story-behind-dubais-aband...
It's questionable that there will be many jobs that are very similar at all to SWE of today in five years.

There is no reason to believe that the large (language/multimodal) models will stop progressing. In six months the IQ of ChatGPT increased by 30-40 points. If we pretend that these things are linear, (so far they are actually exponential) then that's a 430 IQ in five years. Assuming the acceleration of progress entirely stops and just increases linearly from here on out.

There are quite a few people that think this stuff can easily become millions of times smarter. I am doubtful of that in the short term, because I think there are practical limits to compression, but you have to admit that multiple orders of magnitude increases in speed, data size, and efficiency are very plausible. Especially as new compute-in-memory systems start to roll out which is feasible in five years.

The non-conservative and increasingly popular belief is that these systems will be hundreds of times faster than humans and fully autonomous within a few years. Which seems extremely foolhardy but also the most likely path due to the inability of society to recognize and adapt to the real danger with enough nuance.

So I am wondering if there will be any jobs for any people at that point unless the AI is deeply integrated into their brain.
> More about how to configure and operate the software. How to add features, how to debug issues. How to deploy updates and so on.

That still implies writing to an audience other than yourself, and the Curse of Knowledge still applies.

In many ways, it's much worse, because it's easy to assume that because the document is for a technical audience that the reader will know as much and have the same context as the author, and easy to include less supporting material. I look at StackOverflow and see how many questions are technically answered in the documentation, but in fact do not prevent the question from coming up. It's not the the questioner can't understand or the question is stupid, it's that the mental model of the reader and writer don't match up.

Of course it's much worse if, as in your example, the knowledge is in one person's head. That's a related problem, and having something is better than nothing. Even with some documents, cases still arise where there's a missing piece of information that the document author didn't record. The author understood what the document meant, not realizing it is only understandable given some knowledge the author did not provide.
How do you run it locally? llama.cpp + 64GB RAM + 4bit quantized?
OpenVMS 9.2 for x86 is finally available for hobbyists
This seems like the place to recommend Tally Ho:

https://www.youtube.com/@SampsonBoatCo/videos

I’m on a mission to rebuild a 1910 English sailing yacht called Tally Ho. Designed by Albert Strange in 1909, she is a well-known and important historic vessel – but after many adventures she was left in a remote port in Oregon to rot for decades, despite some valiant attempts to rescue her. I bought her and moved her to the Olympic Peninsular earlier this year, and am now rebuilding her from the keel up. Eventually I hope to sail her back to the UK.
We don't have a great track record of converting "money supply" into the things we need, particularly if there's a long event horizon.

If you give investors free cash, will they build the tens of thousands of kilometres of high-speed rail we deserve so we can have a coherent multi-mode transport network, which leads to realignment of urban planning on a decades-to-centuries scale, and has no chance of turning a dime of profit until 2060 at least, or do we toss at into some crypto/AI/buzzword-du-jour sizzle reel that promises 500% returns in six months?

We actually need state-level thinking and intervention, because they're the ones who can say "we're thinking beyond the next fiscal quarter" without a stockholder riot.
You should see MobileOne and FastVIT from Apple
Type 3 engineers invented chatGPT with the end goal of moving closer to actualizing the reality of Making software the solution to any problem.

In one sense they are myopic. In another sense they are thinking further than anyone else.
From the letter:

> I AM VERY PROUD OF YOU COMPUTER. I'VE COMPARED. YOU ONLY NEED MORE SOFTWARE AND PERIPHERALS TO BACK IT UP.

The article talks about a request for backup software and hardware.

> for backing up his Atari system

My interpretation of the original letter is that it sees the greatness of the computer, but wants more use-cases as proof - to back up the claim of greatness.

No-one gets that excited about backup-software.
How have you managed to run the 65B model? Cloud resources, or you have a very kitted-out homelab?
A-10 are expensive to maintain because of their age. The high maintenance budget is the reason AF is retiring them.

Their role has almost completely disappeared and Ukraine has proven it. Su-25, the Russian equivalent, have been shot down at alarming rates because of all the MANPADs, SAMs, and fighters.
Exactly. Usually the bottlenecks will appear at places you didn’t expect them in the first place.

So I tend to build a system that can handle the load that is expected, and some reasonable scaling (maybe 5x to 50x more load).

If your product grows way faster then expected (1000x), you will probably have way more budget, and be able to do it even better.
Open Letter to EU: Defend encryption [pdf]
Can OpenAI claim copyright on GPT’s outputs?
And despite people getting entertainment value out of the "Pentagon Wars", the Bradley has proven its detractors wrong on almost every count.

It's like watching Dr. Strangelove and thinking that's how the National Security Council operates.
I think the standard for "strictly necessary" is whether that piece of data is necessary to provide the requested functionality.

Does submitting an order form for some goods in any way depend on the telemetry requests you sent before/after? Would the order still go through if those requests were missing or fed fake data?

If the answer to the above is true then "strictly necessary" would be difficult to apply. Of course the point is moot because so far GDPR enforcement is not only lacking to begin with but the cases that are investigated aren't given the right technical expertise to adequately determine those answers.
The trigonometry thing is simply a marketing gimmick for this proof. There is no more or less trigonometry in this proof than there is in Einstein's proof. In fact, they could just as well have taken Einstein's construction and reformulated that proof in their language by using sine rule instead of similar triangles. But then the gimmick would be too obvious.

Somehow the second gimmick (the infinite series construction instead of Einstein's elegant and simple construction) makes our monkey brains not notice the first gimmick.
Devil's Advocate: The EU comes down hard on any AI company that doesn't work with researchers and institutions in future.
The point is there's been progress in making it admit when it doesn't know, and we simply don't know how fast that will improve in future version. It may continue to be an issue, or turn out to be easily solved. The improvement with GPT4 does suggest it is at least possible to make it recognise its limits.
Twitch wasn't allowing me to login using Firefox in windows either. The site was totally fine not logged in, so who the f knows what the screw up is there. I'll add to the pile of WTF seems to be happening with twitch these days. It's a service ripe for disruption, so please someone make a compelling alt.
Type 1 is the right move in certain situations, but I've been forced to just let many preventable problems happen because a Type 1 person in power cannot be convinced to see the Type 2 take on something. It's pretty demoralizing.
Several AI-powered robocalls hit my phone last month. They had voice-recognition software, thought it seemed programmed to get me to consent to speaking to a live operator. But I really resented them pretending to be human when they weren't. So I just asked it a question that a human could answer that an AI couldn't. (Something like "Did you watch the Super Bowl this year?")

Once I even stumped one who'd said its name was Ashley just by asking: "What's the first letter of your first name?"
Loongson’s 3A5000: China’s Best Shot?
Basically, if the knowledge exists online in a way that can be pieced together in a straight forward manner, GPT will figure it out, but for information that requires experimentation and creating new information to derive results, it won't be of much use. For example, GPT can't iteratively try different programming techniques to speed up a block of parallelizable code, it'll simply give you the best guess that it can find off google.
A-10 are too expensive for low intensity conflicts. Planes like Super Tucano would be better if we need to fight that kind of war. It would have been better if US kept Super Tucanos instead of giving them to Afghan air force.

It is also quite possible that drones will do the CAS job by the time it is needed again. Or that missiles will make too dangerous for anything.
Yep, in the last few years, there's been quite a lot of movement in the shipping industry to add wind-assist devices to existing/new ships. Michelin [1] is basically doing what you suggest. Maersk and Cargill [2] are also working on technologies that harness wind to decrease fossil fuel use. Oceanbird [3] is working on wing-style sails that they claim can basically move a cargo ship along at ~10kts.

1: https://spectrum.ieee.org/michelin-puffy-sails-cargo-ships-i...

2: https://www.cargill.com/the-future-of-shipping-is-sails

3: https://www.theoceanbird.com
Current 272 mile range Model 3 is 60 kWh pack. So we might be looking at about ~250 mile range for this one, and hopefully a $30k price.
The government does not answer to you; it answers to corporations and the rich.

That's why taxes are instigated where they are.
>as well as the public option about it.

assuming you mean the public opinion about it, and I would have to agree that I do hold chatGPT in very low regard because of this. people will argue that it is impressive that they built this thing that can be this impressive, but yeah, it might not be totally accurate. so my response is, what's the point of it then?

say someone was to invent a robot baseball player that can throw the ball 200+mph, or hit about a literal mile but, it can't hit a target with that 200+mph ball or hit the ball without it going foul. yes, the tech would be impressive, but what's the point? yeah yeah, language is hard, but it's just an example of building something impressive that at best almost does the job designed. unless we're saying it's designed this way on purpose??
There exist also themes like Ninjago, invented by lego. In fact lego keeps reinventing itself so it never goes out of fashion.

That said, over the years, creating new stuff from existing sets became harder and harder, I find this a pity.
>...who would have never been able to build them some other way...

It has definitely become the best available MVP generator. I just wish I liked R more. Python still have nothing even close to how easily a novice can spin up a Shiny application.
Did you also play ZeroK?
I errored when I accepted two thechnical interviews on the same day - in person, same city.
The first went well but it drained me much more than I anticipated and I had no brain power left to function. The second interview was harder, some leet code problem I never encountered before and well... they did not call me back :D it was 10 years ago and I still have frustrations over it. Horrible. I just want to put down that memory and forget about it.
May. Not will.

Until these cars are on the road there really isn't much point to articles like this.
Maybe in theory, but solid still outperforms react in creations by a considerable amount, and I think most applications will find they are doing a lot more rerenders than insertions anyway
That's addressed in the article.
This will change quickly. Microsoft shops often go with whatever Microsoft is touting eventually. The .NET ecosystem is very much like this.

So yea, I don't see any future where Microsoft buys Canonical vs just slowly migrating customers onto Mariner.
I feel old. I remember when we moved from telnet and rlogin to ssh and this was in the man page. I'm also happy to learn kids are still using terminals and ssh.
Good thing that downvotes are anonymous?
This exact same difference exists between the North and the South of the Netherlands and also Germany. Even though it’s only a few hours away by car. In the US, the South is more explicit I guess? Here the North is more explicit.
Banning blinding laser weapons was easy to get consensus on. Banning AI research is more like banning laser research.

I have read Bostrom's Superintelligence: Paths, Dangers, Strategies so I think I have reasonable exposure to the arguments that AI could drive humans extinct. But I didn't find any one of the scenarios plausible enough to frighten me. If there is a new strongest argument for why AI is too dangerous, developed since that 2014 book, I'm willing to read it.

Yudkowsky's open letter makes me think that the arguments are not a lot stronger now than in 2014:

A sufficiently intelligent AI won’t stay confined to computers for long. In today’s world you can email DNA strings to laboratories that will produce proteins on demand, allowing an AI initially confined to the internet to build artificial life forms or bootstrap straight to postbiological molecular manufacturing.

Doing anything novel with biology requires experimentation. A million-times-faster thinker won't be able to advance biological research a million times faster. It'll be able to do the experimental design parts faster, and the post-experimental evaluation faster, but it'll have to wait just as long as a human postdoc waits for things to grow and assays to run. It's Amdahl's Law applied to scientific research: the achievable speedup is a modest multiple because even unsleeping geniuses have to wait for experiments.

If I were to interpret Yudkowsky's "bootstrap straight to postbiological molecular manufacturing" in the most charitable way possible, maybe he's using an implausible scenario as a sort of didactic scary story when trying to communicate his fears to the public. But I'd then like to understand and evaluate the actual scenario he's talking about.
Well... terminal emulators. Bonus points to everyone who has an actual VT240 on their physical desktop.
Why does a 62kWh Nissan leaf only go about 230 miles? Less efficient power train?
Yes, Where is the railroad networks for electric trains as a comparison against freight?

Also, why do they use MPG instead of ton-miles per gallon for freight shipping costs in the doc. Nobody cares about how fuel efficient an unladen class 8 truck is.
What about not-smart cars? Anyone have recommendations there? I don't want "infotainment" and touch screens man...
The last time I used gnuplot was around 25 years ago. And it is still around!
No you're right. I mistook you. Compute isn't linear yet.
I guess the AGI is the singularity which causes the event horizon beyond which we can't see. But now we really are getting pedantic ;)
You can't fit a 65B even at 4bits (~50GB) on a consumer grade GPU. With an average geek's home desktop computer running 65B inference on a CPU with 64GB of system RAM you could expect about 1 token every 2 seconds.
his conclusion is simultaneously not warranted and correct

a like-for-like comparison would be GPT-4 against the larger models like LLaMA 65B, but those cannot be run on consumer-grade hardware

so one ends up comparing the stuff one can run... against the top stuff from OpenAI running on high-end GPU farms, and this technology clearly benefits a lot still from much larger scale than most people can afford

the great revelation this year is how much does it get better as it get much, much bigger without a clear horizon on where will diminishing returns be hit

but at the same time, some useful stuff can be done on consumer hardware - just not the most impressive stuff
Haxe appeals to a lot of Flash game developers that would prefer to rely more heavily on code than a full blown game engine. A lot of people really like the “display list” (scene graph) API of Flash and a bunch of Haxe libraries follow similar patterns.
How does it make sense to assume that this is all leading towards a hostile entity?
It may overcompensate... Call me cruel but I'd have a very meta chuckle that it was economically worth X to the student to not have to message me!
Not paying too close attention, but this sounds a lot like the Gabor filter stacking from days of yore.

Ah looks like people are still looking at them. https://bihy.medium.com/improving-convolutional-neural-netwo...
Sketch the native app or Sketch browser app?
The important thing with Pentagon Wars is that the detractors couldn't tell the difference between AFV and IFV. It is like comparing a minivan or pickup truck and complaining that the truck has bed (with machine gun) and carries less people when that is the whole point. IFV made AFVs obsolete and the US needed to build the Bradley to compete with Soviet ones.

Or testing the Bradley against anti-tank weapons when it was never designed to survive them cause it is not a tank. And most tanks can't survive them.

The other funny error in Pentagon Wars is complaining about the $12 billion price tag. When the Bradley program cost $6 billion and was underbudget.
I think it's generally useful AI, but not AGI as people discuss the term. AGI would need to be sentient, self-aware. It would need to be alive and intelligent by any definitions of the term. ChatGPT is generally useful, but still very far from alive.

Anything short of that could mean large disruptions and societal changes, sure, but not a threat to humanity. Just technological progress as we know and love.
I have one complaint about Ignition: its builtin file download functionality is too limited:

- there is a limited amount of retries (5?), so a network hiccup can easily cause the download to fail

- no control over which responses are fatal, so if you boot a VM with a config that references a URL that's still 404 due to async nature of something, then only a single attempt is made.

The company I work for uses Flatcar exclusively, but we don't use config chaining due to these limitations, and we have moved all file downloads to the shell scripts embedded into the config.
It was used for Smart TVs quite a bit.
Is Y Combinator worth it by numbers?