skysight-inc/HackerNews huggingface dataset:
In this case, it's because the teacher is now left not knowing whether they have an opening in their schedule for the student or not.

This is a freelance teacher who is responsible for finding her own clients and managing her own schedule. If you let them know that you won't be taking any more lessons, they can find another student. If you lie to them and they think you'll be back for your lesson next week, they aren't going to look for another student to fill your time slot. So when you don't show up, you've just cost them to opportunity to earn money from someone else.

If I were in the same situation, I would absolutely institute a policy of continuing to bill for the student's time slot until they formally cancel services. Given the level of conflict avoidance being practiced here, I foresee such a policy being quite profitable.
Whoop and Oura are two prominent ones. There are a bunch others.
Octo Browser
> if you just follow the standards

There are standards and then there are de facto standards. Sadly, it looks like Chromium is well on its way to being the latter. As soon as Apple is forced to allow alternate browsers on iOS it’s only a matter of time before the takeover is complete.
It’s called a Whoop, check it out.
I have a 5950x with 64 gb ram and they are quantized to 4 bit yes :)

The weights are stored on a samsung 980 pro so the load time is very fast too.
I get about 2 tokens/second with this setup.

edit: forgot to confirm, it is llama.cpp

edit2: I am going to try the FP16 version after easter as I ordered 64 GB of additional ram. But I suspect the speed will be abyssal with the 5950x having to calculate through 120 gb of weights. Hopefully some smart person will come up with a way to allow the GPU to run off system memory via the amd infinity fabric or something.
Hence the sayings "Everybody has a plan until they get hit in the face" and "The enemy gets a vote". There's a lot of truth to this.

I suppose we have to be careful not to rationalize mindless flailing, when we should be keeping our heads and mixing levels of intuition and thinking appropriate to the occasion. (Rather than throw random things at a customer each sprint, and purely react, we can be smarter about what we throw. Also, a one-week sprint isn't about acting in the moment of a hundredth of a second.)
Inputs have position encoding in them.
> This is a baby GPT with two tokens 0/1 and context length of 3, viewing it as a finite state markov chain.

What is actually the difference between this and a "pure" Markov chain? Is GPT simply a Markov chain?

EDIT: Better explained here: https://colab.research.google.com/drive/1SiF0KZJp75rUeetKOWq...
Sailcargo has an integrated rail and crane system to move big-bags into the hold.
That is a complete misinterpretation of Tesla's document.

That part of the document is calculating the global annual battery demand once we're fully electrified. The chart says that 42M compact cars are sold annually by all vendors across all countries, and that if electrified, those 42M compact cars will have an average battery pack size of 53kWh, leading to an annual demand for 36TWh of batteries for that segment.

Telsa obviously doesn't believe they're going to get 100% of the market, they don't believe they're going to sell 42M compact cars per year. The 53kWh figure is no more meaningful.

Heck, that TBD in the table doesn't even promise that Tesla will even enter the segment, internet commentary to the contrary.
I am currently reading the late Daly’s 2014 book “From Uneconomic Growth to a Steady-State Economy” that seems to address exactly your concern for a more fairly distributed economic system. A real eye-opener that would require us to change three things to build a more sustainable economy and future:

(1) stop fractional reserve banking and nationalize money again to avoid the very quantitative easing/tightening fiasco we are seeing today,
(2) measure economic progress with a quality of life index instead of GDP to accurately reflect the cost of products/resources and put more emphasis on life quality improving services, and
(3) replace the current international trade rules and system run by the IMF with a more equitable system where capital costs are accurately reflected at the source to avoid “outsourcing” problems to third world continues.

While all three changes are difficult to achieve in our current society, I am amazed at how clearly Daly’s life work can outline how we could build a much more sustainable economy and healthier society.
Maybe his amazing last summary book is of interest to others on HN.
My original point was more on the farming end of things, but yes I'd argue there's clearly been efficiencies in restaurant service.

First, like it or not, chains are a form of efficiency in terms of management/procurement/logistics overhead.

Certainly more fast casual formats than before that reduce the need for front of house staff.

And as always with labor shocks, efficiencies get found. With the recent pandemic shock of restaurant shut downs & slow reopening... a lot of restaurants are back to full pre-pandemic high tables served (or more, in places like NYC where seating has expanded to large outdoors spaces never occupied 2019 or before), but never hired back their full staff.
From what I've heard Tesla's powertrain is still more efficient than every other EV's.
Laid-off tech workers choose stability over status
Really neat! Every time I see this I'm reminded of what we lost from the 1990s, when xterm supported Tektronix 4014 emulation. Vector graphics right there via a tty interface! It wasn't terribly useful in practice but it could do some nice things with plotting.
https://archive.is/2Ll06
Why would you presume that by default? Need a quote to conclude that
RIP Pebble. Still the best smart watch
ublue is based off of fedora and rpm-ostree, which is what "CoreOS" is today.

What happened was old school CoreOS was A/B partition based: https://github.com/coreos/docs/blob/master/os/sdk-disk-parti...

My memory is hazy but here's how I remember it: After Red Hat acquired CoreOS they announced their intent to rebase the entire thing around rpm-ostree, which is the CoreOS people know today: https://coreos.github.io/rpm-ostree/

At the time there was some anxiety in the community as to what would happen, as there was no direct upgrade path from old CoreOS to new CoreOS. Theoretically if we all believed the kool-aid we were drinking it's just a redeploy, no pets!

Kinvolk came along, forked it, and made Flatcar Linux, which kept the A/B partitioning system, and more crucially, let you just change a config file and all your old CoreOS nodes would just move to Flatcar and then you were good to go. So now if you wanted to stay on the system you were comfortable with you could just use Flatcar. If the composability of rpm-ostree attracted you then new CoreOS have you covered. Red Hat deserves a hat tip here because in their documentation/blog they explicitly mentioned Flatcar as an option for people who wanted to stick with what they know, which I thought was cool and how I discovered it!

Later on Microsoft acquired Kinvolk and and then people raised eyebrows. I have not checked in a while but the folks involved continued to do their thing and run it like a good OSS project, hold public meetings, all that stuff. Microsoft gets a good hat tip here.

I use both and they're both high quality.
OK, same strategy as BYD - mostly lithium iron phosphate batteries, some lithium-ion (that's what Tesla means by "high nickel") for the high end.

Here's the BYD presentation from 2020.[1] BYD managed to get the energy density per unit volume of lithium iron phosphate batteries close to that of lithium-ion. They're substantially heavier, but not bigger.

Lithium iron phosphate battery chemistry doesn't have the thermal runaway problem. Fires are still possible but tend not to be as intense.

[1] https://insideevs.com/news/406839/byd-blade-battery/
> (just a hobby, won't be big and
professional like gnu)

Llamas are creating the linux of AI and the ecosystem around it. Even though openAI has a head start, this whole thing is just starting. Llammas are showing the world that it doesn't take monopoly-level hardware to run those things. And because it's fun, like, video-game-fun there is going to be a lot of attention on them. Running a fully-owned, uncensored chat is the kind of thing that gets people creative
I say there are problems that cost more to fix in code and there are problems that are cheap to fix in code.

There are problems not worth fixing with telling people - if they fall in such ways we get support ticket and someone will explain to the user what just happens.

If this happens too often only then we know it is becoming worth fixing.

So for me article is wrong because author assumes there should be answer or solution for each and every problem.

So 1st type of dev might be right a lot of times because how often does it happen that people deploy at the specific time?

If it never happens in reality you just waste time solving it. On the other hand if it happens you will have to solve it then you might need action plan for it but … most likely you can just let people make mistakes and fix them on the spot.
The Less Wrong community isn't a community of careful consideration and logical reasoning. It's a cult that believes their own beliefs so fervently they would burn the earth for it. Small communities like this inevitably become so insular they recycle apocalyptic beliefs.

There's no evidence that stochastic parrots are evidence of true AI. There's no evidence that humans can, by practice, subordinate emotions and become purely rational thought machines as Less Wrong people or "shape rotators" believe. Even such titles are counter-evidence of such beliefs. The human condition is so bound up in feelings, it's unclear where thinking begins and feelings end. Thoughts arise from contact, contact which produces feelings. Gut microbes are as wrapped up in cognition as the brain itself.

Any out-group like this is bound to be hopelessly entrapped in its own cognitive fallacies. Yudkowsky is no exception.

EDIT: Before anyone says but Yudkowsky already gets ahead of your argument with

> None of this danger depends on whether or not AIs are or can be conscious; it’s intrinsic to the notion of powerful cognitive systems that optimize hard and calculate outputs that meet sufficiently complicated outcome criteria.

It's one sentence that handwaves away what GPT-4 and its ilk are, which is not AI. It isn't synthetic intelligence because intelligence isn't what's happening on a fundamental level.
With how the Hoover dam and others are looking as well as taking into account a rising number of people that will want to charge EVs, maybe you want to do some scenarios around electricity pricing as well.
Right, there are a lot of administrators, janitors, technical support staff etc being paid by the university. But I'm surprised they aren't paid by the students tuition fees, since are so ridiculously high already.
Does the model know, or will it just hallucinate an answer?
Are there metrics in which Tesla sales are dropping? I can't find any by googling, but I also can't find accurate data for the last two quarters.

If your evidence for this 'finding out' is purely the prevailing sentiment of HN/reddit/twitter, then I would mostly disregard it.
If they ever ship.
I tink unrecoverable panics in Rust and Go are a bad design decision. There are very few situations (if any) where you want a completely unrecoverable error. At the very least you'd want to log it somewhere.

No wonder there's a `catch_unwind` in Rust since 1.9 and `set_hook` since 1.10 to try and awkwardly work around this design.
Is there an implementation with source code?
As per terms, if you receive money from a govt you are state-affiliated.

In my personal opinion: If you receive govt funding YoY, a public notice should be given - regardless of the politics.
Musk has really hurt the Tesla brand but they are still crushing the competition in the EV space.

I keep waiting for one of the legacy brands to compete and they keep screwing it up
I hear almost exactly this same discussion over roughly the same points about every coding language I have encountered. Well, in the forums of those languages...
Etymology: an ambry is a cabinet in a church for storing sacred items such as vessels or vestments. A common usage today is to store holy anointing oils.

https://en.wikipedia.org/wiki/Ambry
One could imagine a next generation Valkyrie could handle this role well. Something big and fast enough to chuck missiles at 300 mile ranges - with a radar to match.
I find it entirely possible and it's my normal work flow to mix a little tidyverse in with base R without going against the grain, the worst it gets its probably converting data from long to wide format now and again but the functionality to do so is intuitive and simple. Bigger differences between graphics but there wouldn't be a need to mix ggplot grid graphics and base r graphics in the same plot (although panels in the same multi figure plot for example is trivial).
I expect sales are trending upwards but maybe not as quickly as they forecast- the price drops kind of speak for themselves imho.
I thought it needed 64gb of vram. 64gb of ram is easy to obtain
Tesla is still selling every vehicle they can produce. They are still supply constrained.

They sold more EVs last quarter than their competitors combined all last year.
> then you have no understanding of what most workers actually prefer.

Have you asked those workers? Do those workers even know that anything other than the status quo exists (e.g. in other countries)?

> Given the option both in unions and in non-unions most workers will trade away increases in vacation time for high wage increases or starting wages.

Again, that is a very American thing, too. Of course you'd take increased wages instead of anything just because there are little to no saftey net anywhere to guarantee that your vacation time won't end up in a horrible unrecoverable disaster of some sort.
I suppose he has to do something. I can't imagine if BYD came to America.

https://www.arenaev.com/15000_byd_e2_comes_with_405_km_of_ra...

I've seen a few of their vehicles at shows, etc and they look decent.
Their print method annoys me and I don't like the benevolent paternalism of attempting to prevent you from modifying indexes of the dataframe.
There a too many administrators imo, who are often paid quite a bit. I don't think a University needs so many associate deans, assistant deans, and directors. Unfortunately it's people in those roles that make future hiring decisions so minimizing spending there isn't usually their goal.
I dunno. Stuff like this seems pretty human to me: https://twitter.com/erikbryn/status/1644830053627461633/phot...

I know it falls down on other stuff. To me, it seems to operate in a world of a kind of dream-logic, where it does hallucinate things, but other times it is clearly reasoning in a pretty deep way.

This "Sparks of AGI" talk by Sebastien Bubeck covers a lot of amazing examples. (I'd provide a link but I'm not on a good connection and YouTube isn't loading for me)

Just because an AI makes mistakes that a human doesn't make, doesn't mean it's not smarter than a human. It's an alien. The things that it finds important and fixates on are not the same things we do, and there are a lot of things that most humans would get wrong that GPT-4 gets right. Sure, it's not great at understanding physical objects, but it's been trained on pure text, not by living in a physical world and playing with toys and having adults put names to shapes and movements. We have an intuition through living every second of our lives interacting with the physical world. I'd expect this sort of AI to find simple problems with physical objects hard in the same way that a human finds pure mathematics hard.

Not to mention that we've often accidentally trained it to give confident, plausible sounding answers, instead of saying "I don't know". An AGI is not necessarily going to look and sound like a really smart human.
Privacy and security is a big desire for the people running these lower-quality local models. These assistants are becoming more and more powerful and people want to use them for personal tasks. For instance someone might want to chat about their inner feelings or ask the AI to pen a confidential letter, things that they wouldn't want to send to a cloud service. We saw the same thing with Stable Diffusion and how people would spend a lot of effort getting it to run on their machines so they wouldn't have to rely on a public instance.

I'm talking about individual people here as the fact that this is a leak means that corps probably won't take the legal risk of trying this out (maybe some are doing so in secret). In the business world there definitely is a want for locally hosted models for employees that can safely handle confidential inputs and outputs.

The Llama models are not as good as ChatGPT but there are new variants like Alpaca and Vicuna with improved quality. People are actively using them already to help with writing and as chatbots.
Not the best ad for a new framework when the web site looks like this

[![image](https://www.linkpicture.com/q/Screenshot_20230409_233144_Mat...
Yep. Georgia is currently being ran indirectly by the influential dark money of Ivanishvili, who has $ worth 1/3 of the GDP of the country, made by Russian steel business in the notoriously corrupt 90's and 00's, with ties to Putin and the Kremlin.

Imagine someone in the US with $7 Trillion from Moscow and the primary spending goal of wrestling political control of the country.
If you're not running on GPU, you can upgrade your system RAM instead of finding a card with lots of VRAM. 64GB of DDR4 is only $120.
When I first read the post, I thought the two types sounded very much like two levels of experience in being a Software Engineer. Your identification of the third type strengthens my interpretation of the article in this way.

Type 3 - Junior Engineer - I write software.

Type 1 - Intermediate Engineer - I write software for people.

Type 2 - Senior Engineer - I write software robust to the idea that people make mistakes.
https://archive.ph/1gfZ5
Mobile home park residents form co-ops to save their homes
Role-Playing with ChatGPT: Sell the Charlotte Hornets
English teachers are a dime a dozen in Japan and are treated like garbage because of it. I doubt she has much sway over her contract.
Yes but in the same way as saying that computers are just a Markov chain.
You get a garden and no upstairs neighbors to stomp (or downstairs to care about your stomping).
It's certainly a different take on operating systems... will be interesting to see if there is any interest now that you can spin it up as a VM on your KVM server box. Can't figure out the RAM needed to run it from the notes I have read, however...
https://archive.ph/p5DXV
> Tesla cuts US prices for fifth time since January

https://www.cnn.com/2023/04/07/business/tesla-cuts-prices/in...

It seems like there is some effect or they probably wound't be cutting prices.
So you’re basically saying most developers are unable to write documentation?
I view his takeover positively. If I need a car in the future, I would love to make it a Tesla.
> not to rationalize mindless flailing, when we should be keeping our heads and mixing levels of intuition and thinking appropriate to the occasion

This is true. When two experienced boxers (even ones who never compete) face off, it’s like a chess match. Both thinking five steps ahead and it’s as beautiful to watch as it is fun to experience.

But never underestimate the beginner. They will hurt you in the first 30 seconds because they’re scared and don’t realize their own strength. Then after 30 seconds they’re out of steam and you can do your thing … if your head’s still on.
This is a good point. Even if ordinary people did have the resources to run the 65B well on their existing devices, the speed would limit its usefulness quite a bit. In practice, 30B is what most people are going to interact with (if even, I've seen a lot of projects use 13B).

My experience here is pretty similar. I'm heavily (emotionally at least) invested in models running locally, I refuse to build something around a remote AI that I can only interact with through an API. But I'm not going to pretend that LLaMA has been amazing locally. I really couldn't figure out what to build with it that would be useful.

I'm vaguely hoping that compression actually gets better and that targeted reinforcement/alignment training might change that. GPT can handle a wide range of tasks, but for a smaller AI it wouldn't be too much of a problem to have a much more targeted domain, and at that point maybe the 30B model is actually good enough if it's been refined around a very specific problem domain.

For that to happen, training needs to get more accessible though. Or communities need to start getting together and deciding to build very targeted models and then distributing the weights as "plug-and-play" models you can swap out for different tasks.

And if there's a way to get 65B more accessible, that would be great too.
Another good tip; when randomly generating passwords (especially for other users), filter out anything starting with a tilde to prevent strange behavior.
Be a Thermostat, Not a Thermometer
iterm2/wezterm/etc will display images.

https://iterm2.com/documentation-images.html

there is also sixel. https://github.com/saitoha/libsixel
Fingers crossed for destabilising the world's information scarcity based economies. May your entire information/knowledge based industries like SAAS, law, medicine and finance be obliterated so we can clean their stain from the underpants of society.
W-800H is my daily-wear cheap watch here

I had a Pebble and then an Apple Watch. I came to the conclusion I prefer my watches to be tools and not devices. Watches that are tools are cool. Aviation watches, dive watches, etc etc. So much cooler than a smartwatch.
All you need is 2 3090s.
Why are they cutting prices, then?
I haven't heard a single rebuttal to Eliezer's points that's anywhere near convincing and I would love to hear one. Someone needs to reach out to Sam Altman and persuade him to pause all further development on AI until alignment is figured out. He is the voice that needs to speak on this, he needs to be the adult in the room. For all the idealistic virtue signaling about not taking shares and doing this for the good of the world, it's all bullshit if his actions are indistinguishable from any other predictable self-interested CEO. Tell the world you will stop development until alignment is figured out. That is step 1. Please. GPT 3.5/4 will already bring in billions of dollars for years to come as is.
Not buying a car because of twitter antics is something only the terminally online would do to be honest. Tesla car sales prove exactly that, they are basically doubling their production every year. And this is coming from someone who has 0 interest in buying one and has never bought into the Musk hype. But even the biggest Musk detractors have had a lot of trouble just leaving Twitter for good, so the average joe is completely unconcerned by his antics.

The only reason why I could see Tesla losing its "cachet" is that they are now so common that I almost seem to see more of them (here in Quebec) than Honda Civics. But maybe that's more of a regional thing.
The Nuclear Non-proliferation Treaty and existential AGI risk
I an just stating facts and the way the US, and others, operate according to their relative strength.

I am hoping France has the strength to stand up for itself.
I believe there is a technical physical limit but it’s insanely high (which is why “temperature in the center of the sun/nuclear blast” doesn’t really work). There’s no theoretical limit, no absolute hot to go with absolute zero.
They are cutting prices because they are cutting manufacturing costs. They are able to obtain the same margin after lowering the prices. The price cuts result in more sales.