skysight-inc/HackerNews huggingface dataset:
What is your definition for AGI that isn't already met?
I’m bilingual from birth and have never found languages difficult, but finding the time to put into them does get more challenging over the years.

Maybe that’s why I went with Duolingo initially. I’m not finding the language learning particularly hard even though I have twenty years on you, but I also have the benefit of having to be in a classroom four hours a day, five days a week. That is making the difference, apart from a very good teacher.

I know that in theory languages get tougher as you get older, but the teaching of languages has come leaps and bounds since I did French and Spanish at school, and my motivation has shifted too, so I’m finding things easier now than ever before.
DumbDog's levels in Mario maker 2 are fantastic if you like fair but hard levels.
There is no confusion. I am just challenging that machine translation is incapable of inferring genders.

Danish is also a gendered language. The genders are difficult to learn because there rarely are any rules to the genders. Ie, you can not derive it from the word, but only from the context it is used in or idiomatically.

This is an area neural networks perform well in.

Sure, here are the translations of your sentences into Polish:

"This is a beautiful book" translates to "To jest piękna książka."
"This is a beautiful table" translates to "To jest piękny stół."
That's really not relevant.

Your problem is that VSCode is broken, not C#.
Apple was, IIRC, the first company to make the fact they could have 192GB AI models fully accessible to the GPU a selling point. I remember an AMD chip that could have up to half the memory accessible to the GPU (but not shared with the CPU, IIRC), and read something similar about Intel ones, but no explicit references to sharing the full RAM pool with the GPU at full bus speed.
Lists Are Maps
Personally I am in love with Avalonia UI for client-side because it just feels like WPF/Silverlight done right. I can use all my WPF knowledge to develop cross-platform PWA apps. It's the shit.
I’m game. Here’s two outliers: rcarmo/sushy and piku/piku.
I wonder if you can make something that hinges really far and can switch from either bipedal to quadrupedal.
The title was "The browsers biggest TLS mistake"...
The wire is supposed to prevent the bolt from becoming loose.
That's another thing: the 'enshittification' is in full-force with really terrible ads plus the not-bad-but-annoying Super Duolingo ads. I could probably deal with that if the platform was good, but as I mentioned, it's just not providing any education value (to me, at least; YMMV).
I'm curious to hear your definition of AGI that hasn't already been met, given computers have been superior to humans at a large variety of tasks since the 90s.
Who knows! I'm sure it depends on how accurately you want to simulate a flatworm brain.

I think current AI research has shown that simply representing a brain as a neural network (e.g. fully connected, simple neurons) is not sufficient for AGI.
I don't get it, is your point that the "deaths per 100M passenger miles" is underestimating the likelihood of death? Doesn't the metric already normalize for number of passengers on a plane?
Are you looking at the center nut in the photo that's cotter pinned in place, or the two over on the right side that appear to be "loosely threaded on at best, washer rattling along the shaft"?

The center one doesn't concern me. The two that aren't even finger tight do.
That's easy to explain. Europe simply can't, and China has absolutely nothing to gain from getting itself entangled in the Middle Eastern mess. Because whatever it would do it would anger somebody there.
This smells more like Unity circling the drain than pulling up. Best to seek better options than hope for doomed ones.
Bolts and machine screws are very interesting. One mistake I, an amateur bike mechanic, made for years was not greasing bolts properly before assembly.

It sounds counterintuitive but without grease a bolt (or machine screw) will bind early with a high torque well before it is correctly tensioned lengthways. The torque is just a proxy for the tension and it is this tension which is needed to fasten your components together as intended.

The grease means that when the torque to turn the bolt reaches the correct value then the bolt is also under the correct tension instead of being because it got stuck in the thread half way.
Learning a language is not that hard. Everybody does it, so it is not be that hard.

I learned French and Spanish natively because of my family, but I speak other languages like German or Mandarin, although I only know the most common Chinese symbols I can understand people talking and communicate myself effectively.

The most important thing is not forgetting what you learn, specially when the neural connections are weak. For this I used Anki and my own tools.

You do not need to push yourself so much. In fact I do not recommend pushing yourself into a foreign environment without basic understanding, specially If you are an adult and need to function in that enviroment.

I traveled to Germany only after studying it for years 30 min a day. It was much better experience than in China in witch it was similar to your "pushing yourself" method where very few people speak English.

In China the rate at which I could learn was not better than if I had started learning that in Europe. It overwhelmed my capabilities.

Also, China is a different culture, and you have to learn it the hard way with painful misunderstandings.
yea definitely not cheap, to break it down further:

I first ran each post title through gpt-3 to classify as either likely or unlikely to be insightful to founders. Then, if it is likely to be insightful I pass the entire post content including up to 100 comments into gpt 4.

This comes down to around 13-14 million tokens used for the 15k posts, which for the latest gpt-4 model is ~$150.

Im sure this could be done cheaper with something like Llama 2 but tbh I am fine with this for now since I was aiming for speed with the initial list to gauge interest :)
If the AGI - which is for some reason always imagined as a singular entity - thinks humans are unpredictable and risky now, just imagine the unpredictability and risk involved in trying to kill all seven billion of us whilst keeping the electricity supply on...
A wiki is a wiki wiki (quick, fast) web. It's defining characteristic is quickly and easily user-editable.

Your current product isn't a wiki generator, it's a website generator.

https://en.m.wikipedia.org/wiki/Wiki
I think history has shown us that we tend to underestimate the rate of technological progress and it's rate of acceleration.

It's tempting to look at Moore's law and use say the development of the 8080, z-80 and 6502 in 1975 as an epoch. But it's hard to use that to get a visceral sense of how much things changed. I think RAM - in other words, available memory - may be more helpful, and it does relate in a distant way with model size and available GPU memory.

So the question is, if we surveyed a group of devs, engineers and computer scientists in 1975 and asked them to extrapolate and predict available RAM a few decades out, how well would their predictions map to reality?

In 1975 the Altair 8800 microcomputer with the 8080 processor had 8K of memory for the high end kit (4096 words).

8 years later, in 1983 the Apple IIe (which I learned to program on) had 64K RAM as standard, or 8 times the RAM.

13 years later in 1996, 16 to 32 MB was fairly commonplace in desktop PCs. That's 32,768K which is 4096 times the 8K available 21 years earlier.

30 years later in 2005, it wasn't unusual to find 1GB of RAM or 1,048,576K or 131,072 times 8K from 30 years earlier.

Is it realistic to expect a 1975 programmer, hardware engineer or computer scientist to predict that available memory in a desktop machine will be over 100,000 times greater 30 years in the future? We're not even taking into account moving from byte oriented CPUs to 32bit CPUs, or memory bandwidth.

2054 is 30 years in the future. It's going to fly by. I think given the unbelievable rate of change we've seen in the past, and how it accelerates, any prediction today from the smartest and most forward thinking people in AI will vastly underestimate what 2054 will look like.

Edit: 32bit CPU's not 64. Typo.
What is the source of the problem?
We don't really get many new car designs do we? Aren't most cars just built on top of old platforms that only see iterative updates?
Oh definitely, I was giving it some softballs. Maybe I am also giving too much credit to what fine tuning can achieve.

But in a manufacturing environment, if one labelled wrench sizes with different colors, then things like noticing wrench size would be easier. Also, I imagined that the camera would of known (same) geometry during training and inference in a Boeing implementation.

I also wonder if multimodal LLMs are blowing my mind unnecessarily. It really feels like a huge leap to me though.
> They take number of miles and deaths, and nothing else. Let's say flown miles and driven miles are exactly the same for arguments sake. If the number of miles flown on planes were traveled by 4 million people, whereas the number of miles traveled by car were from 4 billion people, your likelihood of dying in a plane crash is FAR higher than by car if you're one of the 4 million who fly on a plane.

It's passenger miles, so the number of passengers is already factored in.
FWIW, restic works well on NixOS.
That's disingenuous at best. Lance was simultaneously dodging tests while siccing the authorities on any cyclist who dare challenge him on the road.
Asymmetric cryptography isn't a rocket science. Airline keeps encrypted recording and public key, certain government institution keeps private key, you need both to decrypt.
Your approach will eventually work, no doubt about it, but the question is whether the amount of energy the computer uses to complete a task is less than the energy the equivalent conglomeration of humans use to complete a task.

It seems clear at this point that although computers can be made to model physical systems to great degree, this is not the area where they naturally excel. Think of modeling the temperature of a room, you could try and recreate the physically accurate simulation of every particle and its velocity. We could then create better software to model the particles on ever more powerful and specific hardware to model bigger and bigger rooms.

Just like how thermodynamics might make more sense to model statistically, I think intelligence is not best modeled at the synapse layer.

I think the much more interesting question is what would the equivalent of a worm brain be for a digital intelligence?
Good thing the Nikola company never delivered anything that worked.

> "The entire infotainment system is a HTML 5 super computer," Milton said. "That's the standard language for computer programmers around the world, so using it let's us build our own chips. And HTML 5 is very secure. Every component is linked on the data network, all speaking the same language. It's not a bunch of separate systems that somehow still manage to communicate."

https://www.truckinginfo.com/330475/whats-behind-the-grille-...
Is it true that the standard deviation is the "expected" distance from the mean of a randomly selected value?

Like, if the mean is 1 and the SD is 1, and I was to take a sample and take the average of the absolute values of the samples, would that tend towards 1 as I take more samples?

Edit: I think I've just described "mean absolute error"... seems to be related but the "root mean square deviation" is the one more closely related to SD. I think... Not sure where the "n" comes in.
Here's more details from "Clark from Invision": https://twitter.com/ClarkValberg/status/1743850775829246134

https://nitter.net/ClarkValberg/status/1743850775829246134
More and more AI-powered language tools and applications are appearing.

I have noticed this with Spanish: the translations from English are wonderful and skilful about 70% of the time, they could be improved about 25% of the time, and they are completely wrong and misleading the other 5%.

This is a rough breakdown, sentence by sentence.

The problem is that the 5% of incorrect sentences reduce the usefulness of the other 95%, so that the final translation is perceived as imprecise and lacking in coherence and tone.
I canceled Duolingo subscription in favor of just using ChatGPT. Duolingo wanted $30 (a $20 increase) for Max, which is as far as I can tell less flexible and capable than ChatGPT anyway.
As immortalized by my favorite case[0] from the codeless code (based on real code [1] from Apollo 11).

[0] http://thecodelesscode.com/case/234

[1] https://github.com/chrislgarry/Apollo-11/blob/master/Luminar...
I wonder what would happen if they published a list of all their users who are not currently under surveillance, or gave them a nice little icon. I feel like somebody tried this before, but my Google searches are coming up empty.
No, it's not. Western nature - sure! It's basically picking the wrong role models, which are plentiful in the West!
Russia hitting civilians isn’t really accidental. They’re quite happy to terrorize the population, and are quite comfortable deliberately committing atrocities (see Bucha, et al). Flattening whole cities is longstanding practice of theirs, too; it’s largely how they won Chechnya 2.

At best, their weapons aren’t terribly precise and they don’t particularly care about that.
Here's a good recording of a very smooth Twilio demo at "Yahoo! Hack Europe: London" in 2013 by Michael Wawra:

https://www.youtube.com/watch?v=mPAe0rJApvk
Ha, well said, point taken. I’d say AI risk is also a technology problem, but without quantifiable models for the relevant risks, it stops sounding like science and starts being interpreted as philosophy. Which is pretty fair.

If I remember an article from a few days ago correctly, this would make the AI threat an “uncertain” one, rather than merely “risky” like climate change (we know what might happen, we just need to figure out how likely it is).

EDIT: Disregarding the fact that in that article, climate change was actually the example of a quintessentially uncertain problem… makes me chuckle. A lesson on relative uncertainty
I've considered proposing this before, but presumably it's a cat and mouse game. Can the Rust stdlib reliably detect writes to /proc/mem in the face of links and raw FDs? And it probably should be reliable, because nobody writes to /proc/mem by accident.

And even then, it doesn't help with whole-system security when every program in every other language on your system, including safe ones like Java and Python, have the same capability. (Although if I'm wrong that there's no precedence for languages attempting to block this, I'd love to see the prior art.)
I'm most interested in how I can be successful, enjoy my work, or not need to work anymore. I'm tired of sucking at my job (after being a high performer for the first half of my career) and being miserable.

But I guess in reality I'm interested in technology that I can apply to my own life,m including stuff thats not thought of as "tech". One example would be culturing mushrooms. It is technology, but not the electronics/computers kind. But also things like Flir Lepton projects, long range wifi antenna designs, etc.
There are heaps and heaps of security issues in Linux (the kernel).

Simply mounting a file system can result in your system being compromised if the file system was maliciously crafted. This isn't something that is actively protected against.

Another issue I can think of OTTOMH, is unprivileged user namespaces causing lots of security issues to surface because certain parts of the kernel's code was written with the assumption that only "root" would be able to invoke it, so if you already were "root" securing this didn't matter.

There are many, many more issues similar to these, too many for me to write about, and probably many that are way beyond my comprehension. I don't think it's wrong to say that Linux has not been very secure.
I feel like that's a bad example because touchscreen controls in cars are just bad in general. Adding a new one makes the car worse because the touchscreen control is bad, not because of anything to do with consistency - all the other touchscreen controls made the car worse too.
even if they did, these cost cuts are typically designed to increase stock prices.
> There is no cheating, since we cannot modify our genomes

that reads like you missed the last 10 years of genomics and the Nobel prizes for Jennifer Doudna and Emmanuelle Charpentier, among other proven DNA/RNA manipulations.
we fixed the issue causing this, should work now!
This is interesting, I'd like to see how fast it runs. A challenge even with fast implementations of models is there is always some overhead starting up.

I also want to mention this is exactly the kind of use case I had in mind for Ferrite, a dependency free Fortran implementation of sentence transformers: https://github.com/rbitr/ferrite The idea is a very simple script to run transformer inference on a CPU that can be incorporated into a project without pulling in a million dependencies.

I am happy to see though that this is a C++ project and appears not to require pytorch and HF transformers to use!
I really doubt it is but important to keep in mind that foreign governments running active espionage campaigns against Boeing. The French have dozens of agents. This is from a conversation I had with a person who works in a large counter espionage group at Boeing. This was corporate espionage not defense but I'm sure there's a group for that.
Unity Software to lay off 1,800 employees
The winning multi-round group strategy in a game in which you can identify and remember different people is, roughly, "cooperate with cooperators, defect with defectors".

https://ncase.me/trust/ is well worth playing to get an idea of how this works.

(Also, by way of acknowledging that reality is more complex than simulations like the Prisoner's Dilemma, in reality you might also have options like "stop interacting with defectors in order to avoid lose-lose situations" or "warn others about defectors, and listen to others' warnings but weight them based on whether the entity giving the warning is honest". And conversely, defectors get more options like "pretend to be a different entity with no history" or "pretend to be a known trusted entity".)
Agreed, we should have done it earlier, multiple people have asked for it now. Can't wait!
Duolingo is basically the app equivalent of flashcards. It's a little smarter than that, but not much. If you're serious about learning a language, it absolutely has a place. But Duolingo __alone__ is not going to make you competent, much less fluent.

Personally, I'm happy with it. I took years of Spanish and started with Duolingo in French with zero prior French, and I can now recognize phrases and hold some basic conversation; for 5 minutes a day with no significant continuous time commitment that's not bad!
This violates rule 1 by requiring a government institution to keep a private key: no change to how current regulations or laws work or to how current workstreams outside of the secondary backup system work (i.e., no change is required like having the judiciary start using crypto)

This violates rule 2 by not assuring that a warrant is necessary because somebody at the government institution has the private key (assuming that institution is not the judge): It should be technologically impossible for any person or entity to access the data without a warrant
Right, this is actually an inspired summary from the article.

I believe the author is stating exactly this, that the sooner we recognize that we can't "fix" the problem (resetting back to "normal"), we can start embracing the new reality and work from there.

It's the denial that the change has already occurred that's the problem.
https://www.vice.com/en/article/dyp7vw/the-cia-is-deep-into-...

https://qz.com/1145669/googles-true-origin-partly-lies-in-ci...

https://www.spiegel.de/international/world/how-the-nsa-spies...

Many reason to believe the NSA would be behind the digital crypto currency fad, they need the tech, and it needs to be as secure as possible

To me this sounds more plausible than the "a random dude from SF" theory
Wear it in public places and see how people react
That's why we have safety wire, which is all over aviation construction.
It does take a long time, and also "real life" immersion, to learn a language deeply. It's the immersion part that Duolingo doesn't do well if at all. So it has to artificially slow down those things it does do in order to keep subscribers.
The same thing happened to me! Except they gaslit me for a while, telling me it was possible, then ignoring every communication. Never again.
> IIRC every bolt's torque value needs to be logged any time it's (re)fastened.

So how did this happen if they we checked so recently?
So the Houthi are admitting that they control the pirates in the Red Sea so strongly that they can order them to stop and they will obey?
how does anyone deny the epigenetic model of aging demonstrated by david sinclair?
It’ll always be a net positive to learn a language.

It just feels with the advancement of phones and AI redundant.

Like yes your friends will be impressed and you can have real conversations with foreigners.

But that time could’ve been spent idk changing your oil, baking a cake?

I think this will make interpretation a far more demanding field. It’s only gonna require someone who deeply knows a language to verify the AI.
> I tried Duolingo once many years ago, but there's no way that memorizing words is going to get you all the way there. You need reading, writing, listening, and speaking practice in real world situations

I’m not disagreeing that multiple sources is necessary, but describing Duolingo as just a “memorising words” app is wrong.

It has reading, writing, listening, speaking, and conversation exercises.
Funny, I had nothing but problems with high end Lenovo's for years. They all went away when I switched to Dell!

It goes both ways I guess :/
You can do it now. ChatGPT vocal conversations are brilliant and mind blowing.
Title should say screen design, for general UI these are quite useless, especially if your UI is physical.
On it ! We've gotten it to work on verilog (see an earlier thread), this should pose a similar challenge!
The last time I spun up KDE was about two weeks ago on my Fedora 39 system. The tiling was awesome. Coming from i3 and sway it’s pretty good. Not quite keyboard powered everything — maybe it is I’m just a noob — but it was soooo resource heavy. Akonadi was doing too much. And too many things were using compute on my GPU. I went back to sway.
And we’re back to where banks are today. Stopping fraud is a very tough problem to solve remotely.
Navies have always been crucial for traditional wars. That’s not going to change so long as war with China or Russia is still (a distant) possibility.
As someone who is neuroatypical, pattern matching is kinda what human brains are evolved for. I can't think of any type of condition where you can function effectively yet not pattern match. Hell, we have plenty of disorders and conditions and diseases where there's too much pattern matching going on.
The paper was written in 1988 and published in 1989 (1 Jan 1989, so just). The Prime 750 is specifically named in the paper, it was probably the best system he had access to when doing the work.
C doesn't provide any reinterpretation operator, and the C++ one's name is a misnomer.

Casts are conversion: a new value is produced based on an existing one.

Reinterpretation requires a value to be in memory, and to be accessed using an lvalue of a different type. Most situations of this kind are undefined behavior.
Edited to past tense ‘could not’