skysight-inc/HackerNews huggingface dataset:
My experience with Python recently:

I have been working on a mediumish project (without tests or type hints) where I needed to add functionality including a bit rewiring.

My main problems were:

- I didn't know what data (types) were passed around when looking at parts of the code, so I had to look were the data structures were created, adapted and passed along to actually know more (or just debug it)

- After changing parts of the code, I was 100% certain that I had to run it a dozen times to fix new bugs or things I had forgotten

How it works with Rust:

- I see the types in the function signature

- I know the properties of 'classes' without scanning the whole code of the class

- when it compiles, it works 90+% of the time, because the compiler tells me where I forgot something before, if the IDE hasn't already told me
There is also always a risk of the patient waking up.
> It's certainly not easier than not solving the externalities of fossil fuels

Sorry if I was imprecise. I meant dealing with the externalities of fossil fuels, even if 'dealing' turns out to be "change nothing and see what happens".
That is the best possible outcome, but I worry that we have a single shot at it. If the massive wealth generated isn't distributed evenly, what will ever level it out other than the things that have in the past: war, disaster, revolution and state collapse (see The Great Leveler).
I’d probably adjust that to at least 50%. Many European counties had extended high youth unemployment, but minimal political unrest.
Do you have any real world experience? I'm working on a Python codebase which is almost 2 million lines of code with almost 100 developers and I haven't seen development speed slow down over the years.

Of course you need to have a structure within this codebase or you'll bump into the typical problems of large codebases. Some languages force you to work this way, we do it by enforcing certain rules in the lower level framework code of the project.

Also you need to keep pace, we are on the latest Python version and code is heavily typed. This project was started in the 2.7 days.
Nobody's getting total coverage, the limit is still the $250k FDIC limit.
Another interesting article, this time aboute Elite:
http://blog.rabidgremlin.com/tags/procedural-content-generat...
can you recommend a checker?
> Americans (let alone people elsewhere in the world) are already struggling

I agree. And I agree with your overall sentiment about the risks of pursuing AGI. I'm as cynical as anyone about the likelihood that the average person will really be any happier in a world with AGI (controlled by tech billionaires no less).

That being said, to claim that hardly anyone in the tech community is capable of empathizing with the average person is a wild overstatement that brings nothing to the discussion. Just adds to the noise.
Have we already forgotten all those machines with so many Internet Explorer toolbars that would take up half the screen? All the malware ?
> People are buying EVs because they're better

This is only true for people with a certain amount of spare money to pay the extra, since EVs are more expensive to purchase.

"The new EVs cost an average of $65,041 in November [2022], according to Kelley Blue Book, while gas cars averaged $48,681 that month"[0]

[0] https://www.businessinsider.com/electric-vehicles-prices-exp...
I think if Rust could integrate a GC pointer elegantly into the ecosystem and put some of the knobs for running the GC the responsibility of user-space libs (ala pluggable GC), add in more optional type inference in places, and make it easy to refactor code to remove the GC, then it could become quite interesting for higher level glue code. As is, it’s not quite as good as TypeScript I think
There are many factors that contribute to being good to your job, or I think more accurately, being perceived as being good at your job. Impossible deadlines, unrealistic client expectations, bad organizational policies and procedures... the list goes on. I'd argue that being nice to people is always your choice, whereas being perceived as competent is not always up to you.

Measuring performance is also not entirely straightforward and objective as we want it to be, and the two axes may blend into each other when it comes time for reviews. In a peer review scenario, that nice colleague gets a boost.

There are also varying degrees and types of incompetence. If someone is willing to learn, that's a lot different than someone who is knowingly slacking off and relying on others to pick up the slack. I'd argue that the latter is not exactly "nice" behavior.
China is much more urbanized, India's population is still majority rural. And China also has a more robust public health system, which means that more cases get detected in the first place.
OpenAI keeps text-davinci-003 proprietary.
As someone who doesn’t own an electric car, why are they better for the average driver?

The only thing I know about is their acceleration but that isn’t important to me personally as I prefer to drive slowly.
> competent people tend to prefer to work with others whose skill they respect and they feel they can learn from because they're really good at their job

Amen.

The #1 "perk" any company can offer is working with a skilled, competent team.

Birds of a feather will flock together.
https://www.alpservices.com
If you buy multiple keys it makes life easier - you know which payment is for which key and for which invoice. This way you have an unique identifier to match them.

Without unique identifiers you have big problems.

The payment description should at least mention the invoice number or order number.

Undescriptive descriptions are terrible when you need to check / match something. Even a human will have problems not to mention autimatic systems. And automationg is something one could expect from decent systems. No manual checks. No ambiguity.
Being "educated" doesn't require you to be able to write without the assistance of a person or tool.
Very well written and beautiful article.
they exist,

but they live in their own world
It's a human check after you use the self-scanning checkout, they verify that what's on your receipt is what's in your bag.
I see the quantized model is supplied.

> Note: the full model on GPU (16GB of RAM required) performs much better in our qualitative evaluations.

Is there a download for a trained full model?
The UK is very different: there is no general defense of "entrapment" in UK criminal law.
I think there's a valid and necessary question emerging as this domain evolves:

What should we teach and why?

Simple example:

One can get any circuit design formula from an AI running on a pocket computer. What, then, is the value-add of a human and how should we teach it?

At some point we will have to admit there are lots of things nobody should ever again memorize. It's kind of pointless. A waste of time and effort. Like being able to rank sorting algorithms from memory. Truly. Who cares? At a minimum there are dozens of books with that information. And then there's Google. And now even better tools.
This is actually an interesting idea. I'm not sure about the pricing, but I might actually try something like this for a project I'm working on. Could blow the socks off of my CEO.
What we still don’t know about how A.I. is trained
I suspect it’s about to get a whole lot more unpleasant.
U.S. FDIC tells Signature crypto clients to close accounts by April 5
> India - which is almost as large a time zone offset as you can have

Not just that, it's a half-hour offset from pretty much the rest of the world! I wonder which genius thought of that one.
My visit to the Mass General ER in 2012 involved waiting 25 hours for a ready room.
There are six of us using my connection. Only one of us is not using a vpn.

Sorry, James - someone's gotta go to jail.
I do turn down brightness to an extent, but the problem with the most commonly used backlit LCD panels is that turning down brightness also reduces contrast and color vibrance. This is why I typically use dark mode with a higher-but-not-maxxed brightness.

This doesn't seem to be nearly as much of a problem on my phone, which uses an OLED panel. Color and contrast are retained to a much greater degree at low brightness, which makes lower brightness more practical to use. I'd still like a light-mid-gray light mode option for iOS/Android regardless.
Quick guesses:

Maybe Indians have less contact with wildlife (due to different settlement patterns, or religious or cultural restrictions on eating wild animals?), or less average physical mobility (more expensive and inconvenient long-distance transportation), or a climate less conducive to certain modes of virus transmission?

A smaller fraction of the population working or commuting in huge indoor spaces?

Maybe (contrary to Americans' intuition) Chinese public health surveillance is both more effective and more transparent than Indian, leading to a measurement bias because some disease outbreaks that arise in China get better-documented?
I think era of shithead AI is also coming.
Hi John, I appreciate your article/writing. I understand the perspective however I believe there's a case to be made that Catalyst is a temporary transitional tech that Apple themselves used to avoid waiting on SwiftUI native maturity which has been slow going. So many issues between the largely UIKit vs AppKit backend implementations, lots of surprising behaviors with macOS native SwiftUI still. But these are surprises for developers, and it seems clear to me that there are limits to how macOS native feeling Catalyst has been spec'd in ways that are more apparent to users wit less recourse for devs to compensate. Messages benefits from having more custom components already with its own UI. This is my take as someone who's intensively explored both options and been building in SwiftUI for a couple years. Sorry for vague references off hand. Best luck with Wavelength, it's very nice.
No you can't, but if they were locking down cities, we'd know about it.
The WORST damage can be caused in socialization not performance.

But the most common damage is done by performance not in socialization.
The simplest and quickest benchmark is to do a rap battle between GPT-4 and the local models. Copy paste the responses between them to enable the cross-model battle.

It is instantly clear how strong the model is relative to GPT-4.
Toyota and Honda both assemble cars here in the US and have a huge network of US-based suppliers. No one believes that those companies operate under Japanese government direction nor that the Japanese government has the ability to influence company management to the degree the CCP clearly can with TikTok. It is well documented that the "Golden Shares" owned by the CCP and the board seat on they have give them fundamental control of the company.
I liked a write up from Bret Victor on this: http://worrydream.com/ClimateChange/
Test suites are not reflection complete! https://sdrinf.com/reflection-completeness -essentially, the moment a set of testing data gets significant traction, it becomes a target to optimize for.

Instead, I strongly recommend to put together a list of "control questions" of your own, that covers the general, and specific use cases you're interested in. Specifically, I'd recommend adding questions on topics you have high degree of expertise on; and topics where you can figure out what "expert" answer actually looks like; then run it against the available models by yourself.
I think this kind of sentence makes such a huge disservice for the HVM. Rust closures also doesn't support the full λ-calculus! HVM supports way more λ-terms than Rust does. That said, we're working on full λ-calculus support, so this shouldn't be a problem soon.
Drivers are already using substantially more energy to power their (highly inefficient) ICE cars. The question here is not whether we'll use more energy, clearly EVs will use less. Similarly the question isn't whether power grids will need an upgrade, that's already in the cards as part of the EV transition. The objection raised by the OP is simply whether we can deliver 240V AC electricity to the physical streets where cars are parked, and the answer is "yes, with modest civil engineering."
Is the websocket connection opened directly from the client to the Postgres server? Or is the other end of the websocket tunnel terminated some sort of reverse proxy?

In that case, do you manage the possibility of multiple clients opening a websocket connection to the same to “the same” server (which may actually be a different instance of the same proxy)
I hate to break it to you, but psychology, and most of medicine for that matter, is based on very suspect science. Including the clinical practice and the more wishy-washy parts. Almost every study in medicine as a whole and psychology in specific doesn't replicate.

A lot of study has gone into realizing that the familiarity between the therapist and patient is the main determining factor in the effectiveness of psychotherapy. From that perspective, even the most suspect, crappy, Jungean or Freudian junk can work if the therapist-patient partnership makes it work. Similarly, the current "scientific" hotness (CBT, DBT) can fail based on that relationship alone.
The whole “ban TikTok” saga reminds me of the South Park episode “Chinpokomon”, where the Japanese were getting Americans hooked on a parody of Pokémon because of their not-so-subtle designs on taking over the world.
Matklad has hinted at this before, but it's funny how Rust is displacing ML dialects in domains where manual memory management is not at all necessary, simply because no ML has its tooling and deployment story straight.
You may be getting ahead of yourself. You can spend $20 and ask ChatGPT to make plentiful food and energy, but it won’t actually do so.
Most important question: what is your favorite metal album currently, and why is it Periphery V? :)

Had to ask, noticed all the metal references in the docs.
> When I go to my bank's website, it's easy for me to find my tax forms. They're usually one or two clicks away in some prominent top-level navigation component. But I would rather converse: "Download tax forms"/"Which ones: A, B, or C"/"The first two"/"Here ya go".

I think this supposedly should be solved by search box on the site, where you enter: "tax forms" and got results with download button.
I found some of the replies interesting [0]. In the list of social issues caused by AI advancement, I'm not sure how much focus is given to the potential backlash against the companies and individuals leading us here.

[0] https://twitter.com/UsualTomo/status/1640741657162444801
According to the US Copyright office's recent ruling, nothing generated by these models can be copyrighted (!), so in theory you should be fine!
Some* people are buying EVs because they're "better". Other people, like me, have zero interest in most modern vehicles, whether EV or not. I have zero interest in a vehicle that gets software updates, or that can choose for itself to slam the breaks on, or that has the ability to upload my data for collection, or that can be remotely disabled, or that isn't built to be maintained easily in my garage, or that has giant touchscreen nonsense. I realize I might be in the minority, but that's OK.

I feel that most modern vehicles are designed and built purely to make as much money as possible, rather than to actually a good, reliable, maintainable vehicle. And it works, because the average consume either doesn't care or is easily to manipulate.

If you want to convert more people to EVs, start building some that I'm remotely interested in. That and invest into solid state batteries, I'm mostly waiting for that too. Solid state batteries would solve most of the issues with EV tech.
Reduced maintenance costs, reduced operating costs.
Problem is it's not just EVs that are adding the subscription and everything software cars. All cars are going in that direction
> but I’ve almost never seen it attempted

The vast majority of people don't want to have a different job than the one they signed up for.

If you sign up for engineering, you don't want sales. And vice versa. 99% of the time.
We already have CFIUS and have for years.
Bluetooth is not perfect and other things in the computer/environment can affect its reception. On my old laptop there is a small hole in the bluetooth reception exactly in the ideal spot for me to keep my trackball, took awhile to figure it out and I only have to move the track ball a half inch in any direction to get it out of that void but it never seems to fail that either laptop or trackball will eventually move and it will lose the connection. So I just use the dongle with that laptop and I am glad it came with the dongle.
Almost zero maintenance costs (oil changes, less brake usage, etc), cheaper to charge per mile than gasoline in most places. Can charge at home.
The prices have changed a lot since November 2022; Tesla became eligible for the $7,500 Federal tax credit again, and they dropped their prices significantly to qualify. Right now a base Model 3 is around $36k after tax credit.
> Practically everything has to be shipped/flown in.

That's no excuse. Burgers in Fiji cost a quarter of that, and everything is shipped in from far further than it does to Iceland.
But do you inspect all the source code?
Those of us who understand how EVs work have been saying this for years. I think we all hope everything magically gets solved simultaneously to make all the deadlines work. I expect most of us know it probably won't actually work, but we also don't want anything to stop us trying, so we just... keep moving forward. I think we also hope nobody tells the consumers that they're in for at least a decade or more where everything is terrible, or they might not buy the cars; none of this works if they don't buy the cars.

Based on USGov estimates, we need to increase lithium access by 2.5x every year for 18 years. We need something like 10x the grid capacity to serve the new power demands (and that's not considering that, for example, most green energy supply fluctuates). Land still has to be acquired to build out all the new infrastructure. Supply lines need to be increased and made robust enough to build all the cars without more delays. Skilled workers need to be added to service the new industry demands. And then we have to hope somehow that all the industry EVs are replacing get new jobs and don't depress the economy, hurting EV sales/investment. Oh, and probably at least half of all new EV infra funding is based on robust credit markets.
They have a lot fewer moving parts… like transmissions, etc.
The Emergence of General AI for Medicine (Lecture by Peter Lee on ChatGPT)
I’m not sure if it’s ultimately good or bad, but I do know that if only one company or country controls it then it will be bad. Either way, I think it’s an unstoppable force and preposterous that we puny humans could stop it when we can’t seem to build rail between LA and SF.
I feel like programming language designers should see themselves as quite beleaguered at the moment.

Even prior to full AI replacement, a properly trained AI will be able to take English language and effectively translate it to machine code, assembly code, or C code.

It doesn't really make much sense to have the human at the this layer for much longer.
We clearly need to run the weights _through_ a GPT model because that seems to strip copyright from them :D
Not only that but they’ll add longevity to the monitor by avoiding burn in
While I'm all for mass transit, and I loved living in areas like NYC and Boston where taking the subway/T was very convenient (despite their current problems/underinvestment) I just don't see how you get from "A" to "B" in Western cities that are so car centric - that is, how you build out mass transit systems that make any more than a teeny dent in overall commuter behavior.

Look at Dallas. The DART light rail system first went live in 1996, and it actually has a good number of lines and a fair amount of city coverage. Still, looking at data from 2021, around 76% of workers still drove to work alone, and another 10% carpooled. So "not in a car" options only accounted for 14% of total commutes. And this was after a quarter century and billions and billions spent, it still only made a tiny dent in overall commute volumes. I don't know how you change this.
> You also definitely need to think again if you think those jobs are low paying. Plenty of people make quite a healthy living doing them.

Will they still make a healthy living when there's an influx of laborers fleeing more automated parts of the economy?

GS just put out a report today estimating the impact of AI: https://www.businessinsider.com/generative-ai-chatpgt-300-mi....

I wonder sometimes if these accounts on HN making insane arguments that generative AI somehow won't be economically calamitous are bots. In fact, if I was at OpenAI and the goal was to avert scrutiny long enough to get to AGI, unleashing a torrent of AI shill bots might be near the top of the agenda.
Very cool idea! I'm excited to try it. I'm a little bit worried about the reliability of interfacing with a website via the DOM. I trust GPT-4 enough, but I could see a situation where the correct fields to fill in are ambiguous in the DOM and the plugin ends up saving or deleting the wrong data.
See, were this true, my mother (who didn’t have the internet at all) would have a fine appreciation for country music and dancing. Because those were mostly all she had while growing up; she had plenty of time to learn appreciation for both.

Obviously she didn’t. My father in turn never picked up a love for the beetles nor reading. So, while appealing to our lamentations about “kids these days”, your hypothesis is flawed.

People, even in times of media scarcity, still developed loves and hates. Evolving your tastes is much more intentional than just not having a choice.
This is generally true. The same laws that make employees harder to be fired also means companies are more reluctant to hire them, since the cost of making a bad hire is that much higher. France is famous for having more than double the number of companies with exactly 49 employees than exactly 50 employees, and you can guess the reason why.
Even Congresspeople want to live.
> Surprising then that we don't ban Hondas and Toyotas

This is a holdover from the US supporting the development of industry in Japan to keep them from turning communist (which was a real threat back in the 60's and 70's)
New EVs have range longer than the vast majority of people need. A Hyundai Kona is 26.5k after tax credit and 258 miles on a charge. This car has a 64kWh battery.

Most folks don't really need to go that far, or that often. I have a gen1 Nissan Leaf that cost me less than 6k (good luck finding this deal now). From a 15A 120v circuit it charges at about 5 miles of range per hour. If I am driving in EcoSquidward mode I get about 4miles/kWh. I see 60 miles of range.

If the bumper could automatically mate to a regular AC circuit like I charge with at home, you could charge whenever you park. The average speed in urban traffic is 12 mph.

The thing I think is extremely wasteful is these huge battery packs that new cars are hauling around. My ancient leaf came with a 24kWh pack, that is enough for 32 ebikes (750 watt-hours).
Matrix is more interesting as a protocol than it is in terms of its current clients
Don't worry the butt warmer will have failed long ago in your 15 year old EV

Typed while sitting in my 20 year old pickup truck whos manual windows still work but not most of the electronics :P
- An order of magnitude safer in terms of fires per mile

- Much quieter ride

- Much less maintainence, less moving parts, brake pads almost never need to be replaced, no transmission, no oil changes

- Internet-connectivity-related features, generally much nicer user experience

- You can use them as a mobile office, they can be camped in with the heating on overnight, there's no concept of idling and no carbon monoxide issues with sitting in an EV with the car on as long as you want

- If either your home or office has charging, you basically leave full every time