skysight-inc/HackerNews huggingface dataset:
No reason to decompile/reverse engineer the software. What it's doing isn't at all mysterious if you know Hebrew or studied Torah for Bar Mitzvah.
With the end result being giant companies owning tons of IPs like Getty, Adobe and perhaps Disney owning proprietary AI models anyway, with no open source alternative for indie artists to use because they all got sued out of existence. A pretty bad future; definitely not what I would call ethical.
If we're sharing similar but different ... https://codepen.io/kaliedarik/pen/BaLZYwJ

(Sadly without music)
If people are going AWOL for more than a week you need to start firing.
> Only assholes think like that. Only assholes doubt credentials because we are now trying to explicitly defy our biases.

And/or people capable of unpopular rational thinking and noticing patterns. You can't aim to select people for characteristics other than pure merit and at the same time claim merit is the deciding factor in selection - well, short of amazing coincidence.

- We promise to select someone biologically related to Congress

- We have selected Mark who is a nephew of a prominent senator and really the only one available in the pool that meets the above qualifications

- But Mark is just as qualified if not more so than anyone else. He was selected on merit just like everyone else!

You seriously believe this shit? You expect other people to?

> That it's only a coincidence that every single astronaut during the Apollo missions was a white man. That they were all definitely above every possible non-white non-man.

Are you seriously implying that the past Moon missions were not selecting organically for the most qualified they thought they thought they had, but rather as some sort of identity politics conspiracy against non-whites and women? Serious projection. Evil white males do not control space and access to it. Anyone qualified that thinks they can pull off a lunar mission is free to try.
I'd be cautious of that statement, that's not true in some countries for car purchases or if you purchased on premise.
The entire discussion is about boilers and steam...

This entire subthread is useless when you missed the original comment: https://news.ycombinator.com/item?id=35393157
> he hit it big several times, that’s not just luck.

The odds of any given entrepreneur getting lucky several times in a row is very small.

Given a large enough entrepreneurs, the odds of one of them getting lucky several times in a row gets very large. We just don't see all the ones who tried and failed, or succeeded once or twice and fizzled out.

I don't doubt that Musk has some skills and appropriate personality traits as well, but luck is likely the dominating factor.
I like the idea of Framework, but I just buy refurbed T-Series Thinkpads for those family members - Quite easy to repair too and those drainage holes saved the day again and again.

Maybe Framework has those too now though?
Usually licensing & equipment costs or being in an area with a saturated market as far as FM is concerned and having to go up against media corporations with 20+ stations under their belt. I don't even live in Texas but there is a ton of weird texas stations I can find on a good night with my old reliable radioshack shortwave radio.
Seems like Slint is trying to be a Flutter but for rust - which is a very nice thing.

Dart has a lot of bad coding concentions taken from Java (eg classes everywhere) which make it really easy to write slow software.
Apple trade in values are always low. Look around for other options or consider selling directly to someone.
As an externality, the price of emitting 1kg of carbon should be a little greater than the cost of capturing and storing 1kg of carbon.

That's too expensive a target to be realistic right now, so the real question is what's a level of taxation that won't cause social unrest, but that will change behaviour?
Between Chrome and MS Edge is one more secure than the other?
Disclaimer: I'm not interested in a privacy debate between the two browsers as both send varying degree of info to their respective orgs.

Chrome has long been the browser recommended for its security features and Google's top notch security team working to protect its users.

I'm curious if Chrome is still numero uno in terms of security or if Edge (based on Chromium) has any compelling security features that make it a better choice?

Looking forward to your thoughts :)
What share of your salary does a stapler cost?

When working on the office, it makes perfect sense to buy plenty of them so everybody would have one nearby (at the same cabinet as the perforator, folders, printer paper, extra sticky notes, pens, and whatever else).

When working at home, I'd guess it's used exactly never, so yes, it doesn't make sense to buy them.

Does everybody at Google work at home?

Anyway, the stapler is the most interesting part of the headline. How much did it cost to decide to stop buying them? Does it save enough to pay the decision-making?
That adaptation may not be appropriate for the modern environment.

When exposed to modern/ internet-scale communities, it could be that there are so many false-positive threats to one’s status that the advice to (generally) not worry too much about it is good advice.

Our innate desire for sweets comes to mind.
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This may be an apartment dweller/SFH split kind of thing. I have multiple gasoline, diesel and oil/gas mix cans. Most people around here do, for lawnmowers, snowthrowers, chainsaws, etc.

The only time I didn't have one was when I lived in apartments.
That's true. I think that it is analogous to the discussion of AI limitations. Both of these are tools and are not categorically exclusive.

In the case of translation of floating point numbers from base-2 to base-10 we have to make approximations which will often be slightly wrong forever without regard for amount of precision.

With AI, depending on the pre-conditions, the AI could be stuck in a state of being slightly wrong forever for a specific question without regard to further refinement of the query.

These are both still useful as tools. We just need to be able to work on the amount of refinement of the answer that the AI gives, which may be able to be solved fairly well through prompt engineering, if not through the advancement of GPT itself.
Under a consent decree
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I'm curious about this, and also how hard of a requirement C++ experience is.
Wouldn't it be more productive to focus on how awesome your workout was? Especially if you have been doing it for years you probably do sets with weights that the average person could not do as a 1-rep max.
We don't know that yet, we may find out soon.

https://vox.com/recode/23580554/generative-ai-chatgpt-openai...
It's a programming language, not a shell, of course. It has always been strict about syntax as well. I don't expect "&" or ">" to work the same in the shell as I do in Python—why would I expect "." to?

Close to none of the notation of Python works the same as a shell. Even quotes, which are superficially similar but have significant differences.

> abstract "package"

Packages are not abstract, they are simply a folder with .py files inside. Sounds concrete enough to me.

> changes depending on how you invoke Python

I'm not sure what this refers to? I know you can change PYTHONPATH. And the current folder portion changes with it.
I understand now, thank you
I never knew there was a proper term for this technique! In the roguelike development community, these are known as "Dijkstra maps", and people use them for all sorts of things. [1] One of the coolest tricks the article describes is the idea of constructing several different Dijkstra maps for a particular game map, and then multiplying them together under certain circumstances to get a net weight for each tile.

1: http://www.roguebasin.com/index.php/The_Incredible_Power_of_...
Yep, updated. Thanks!
You don't think code is involved in that my dude? The input wasn't a description into an AI model, with copilot the model. It's code that calls to an ML model. Which is my point. The model was created with code. The model is deployed with code. It runs on infrastructure that executes a bunch of other code. Code takes in user input, puts it into the model, takes the resulting response, does something with it. There is no ML model that is a product in and of itself. ML is not a compiler. It is not a runtime environment. It does not understand business needs, it does not take direction. It certainly may be transformative, for good or ill, but it hasn't suddenly deprecated the need to code; far from it.
I believe you meant to respond to: https://news.ycombinator.com/item?id=35430052

However, I won't respond to you here, since (1) it should be quite clear that I think @slaren wasn't given enough recognition for their work from my prior comments and that there is a more positive approach you could have taken to helping to give them this, and (2) the rest of what you said about ethics is subjective, and I think wrong in magnitude -- for example, I'm not sure it's correct to call it "plagiarism" when @jart's PR mentioned the collaboration with @slaren, used co-authored commits and linked to their PR.
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Anyone explain why it sang with an Irish accent?
Think of a few top writers or journalists.

What patterns did they take to write their stories?

Did they lead with boring questions?

Each in a separate paragraph?

Consider the question for a moment.

I’ll tell you the answer.

No.
There's a brilliant project called Django Unicorn that aims to be the equivalent of Laravel Livewire for Django. You should take a look.

https://www.django-unicorn.com/

That and HTMX + Alpine.js are a strong combination.

(I also had a bash at building a similar tool for Django called Tetra but unfortunately haven't had the time needed to commit to it: https://www.tetraframework.com)
S was first released in 1973 but data frames were added almost two decades later, as mentioned in another comment. They were reimplemeted -a few years later- in R and served as inspiration -a decade later- for pandas.
If that is a problem, you deal with it by litigation against the bad actor. No need for a corporate "lets drop all staples" announcement.
thanks for proving my point
I've got it running on an Intel NUC as well as a Lenovo IdeaPad 5 Pro. Both run great with it. Battery life on the IP5Pro was sketchy when I first got it because it's an AMD, but since then the Linux Kernel added amd-pstate and all's been fine.
As an Italian I have really mixed feelings about this. When you hear people speaking on TV they mix-in so may English words that at times it becomes difficult to understand what they are saying.
People forget or don't ever learn the Italian words for simple things like `spelling` and `to set`.

> requires anyone who holds an office in public administration to have “written and oral knowledge and mastery of the Italian language.”
This might be useful, but it will be applied badly (as they do) so you get people that don't intermingle English words but the speak only in the local dialect or with an accent so thick that they might as well be speaking another language.

> It also prohibits use of English in official documentation, including “acronyms and names” of job roles in companies operating in the country.

I don't have great feeling about this as we have words that are correctly taken from another language because they did not had a counter part (mouse for example) so this will breed horrible new Italian versions of the English words: we will have to work with a "computatore" (remember nobody will remember that "calcolatore" already exists) and a "topo".

> Under the proposed law, the Culture Ministry would establish a committee whose remit would include “correct use of the Italian language and its pronunciation” in schools, media, commerce and advertising.
The sentiment is good, the Italian language is a beautiful language, we need to learn to speak it correctly and help it evolve naturally, but I feel the approach is wrong and reminds me of a similar thing that the goverment did during the fascist regime where people where forced to even change their name because it sounded too foreign...
> what happens if I want to check out a 1 year old commit and edit it?

Your dev environment is version controlled too because it lives in your repository. You would run a prebuild for that old commit and get a dev env from that time. It would only break if your old dev env can no longer be built, for example if it depended on some external resource which is no longer available on the internet.

> I'd rather see something on a (calendar) schedule with the potential to trigger a manual build if needed.

That's actually on our todo list, but it didn't make it into the 0.1 release. This feature is especially useful for monorepos, where rebuilding everything on every commit is too much.
You'll have a hard time finding anybody to take the other side of that deal.
Holding out for smart rocks that object to refutations of solipsism.
Data. You say "2nd only to C" but don't provide data.

http://shootout.alioth.debian.org/gp4/benchmark.php?test=all...
The best way would be to register a domain. That way you can move the email to whatever provider you find the most stable.

Currently, Fastmail seems like a pretty good bet, but you can switch without changing the email address.
Such an eloquent reply, well done.

ChatGPT:

Tesla's Autopilot system uses a variety of machine learning algorithms to enable its autonomous driving capabilities. Here are a few examples:

Convolutional Neural Networks (CNNs): These are commonly used in computer vision applications and are particularly useful for object recognition. In the context of Tesla's Autopilot system, CNNs are used to identify and track objects on the road, such as other vehicles, pedestrians, and road signs.

Recurrent Neural Networks (RNNs): These are commonly used in natural language processing and sequential data analysis. In the context of Tesla's Autopilot system, RNNs are used to predict the behavior of other vehicles on the road and to make decisions about how the Tesla vehicle should respond.

Decision Trees: These are commonly used in classification and regression tasks. In the context of Tesla's Autopilot system, decision trees are used to make decisions about the behavior of the Tesla vehicle based on its sensors and other inputs.

Reinforcement Learning: This is a type of machine learning that involves an agent (in this case, the Tesla vehicle) learning to make decisions based on feedback from its environment. In the context of Tesla's Autopilot system, reinforcement learning is used to teach the car how to navigate complex driving scenarios, such as merging onto a busy highway or navigating a crowded intersection.

Overall, Tesla's Autopilot system uses a combination of these and other machine learning algorithms to enable its autonomous driving capabilities, with the goal of providing a safer and more efficient driving experience.
The problem is that none of those intelligent people factor in the positive externalities.
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Three dead as mystery virus spreads in Burundi
Major crypto attacks in March 2023
I would assume virtual machines, as that eats infinite RAM.
Hi All, I’m working on a small project called textmyapi.com (no website right now) the original idea was to allow people to invoke API calls over text messaging but with the advent of ChatGPT and related AI technologies I’d like to look at this as more of a text based AI concierge type service, and I’d love to bounce some ideas around - I think there are still a lot of opportunities around texting and so it’s more about the backend service than needing to have a flashy mobile app. Imagine just being able to text an API that gets things done for you. Basically just a phone number you can text that helps you get anything done. I’d be happy just to kick it around with anyone who has an interest and my email is:

russ@fastmail.com

Thanks!
> No more LiDAR.

Lidar is not in any cars. You're thinking about Radar, which they've added back with HW4. https://www.teslarati.com/tesla-hardware-4-hd-radar-first-lo...
Fearless prediction: the world will never run out of code that needs to be written.
Does wearing Nike Air Jordans make you play basketball like Michael Jordan? No.

If you could hire Michael Jordan as a personal coach, could he help you play better basketball? Certainly.

Will he tell you something you couldn't learn else where? Probably not.

But will it make more of an impression because it is Michael Jordan? Definitely.

Now, instead of a personal coach, Michael Jordan brings on Karl Malone, Stockton, Pippen, AI, and few other 90s all-star players, and you get a chance to meet with them weekly.

Not everyone wants to play basketball like Michael Jordan, but there are people who want to take their home salon business and grow it into multiple locations, and believe that joining a group of other people who have done just that, would benefit them.
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What do you base that on? If you are an HN reader there is a good chance that you do some kind of technical work that may push a computer more than a basic user who just does browsing, email, social media, and text-based work. 8GB is enough for those kind of activities, particularly the way people do mostly single-task work. That kind of usage may not justify spending extra for more RAM.

If you are doing development, video work, lots of multitasking and if your productivity per hour is important, then you probably need more RAM.
I played with Firefly for a few hours and was quite unimpressed with the results. It reminds me of Midjourney 2.0, which was kind of impressive a year ago. Adobe has a lot of catching up to do.
Canonical has been substituting snap packages in for native packages on Ubuntu without letting end users know. If you know about it then you can disable snapd or only install through apt (as far as I know that still installs native packages), but it's still an opaque change to less technical users. You can still use snap packages on Pop_OS, but it's your choice to do so. On Ubuntu, it's a lot harder to "just not use it".
I don't get it, why not just use Tor browser?
For CO2 at least the average price that it costs to pump the CO2 out of the atmosphere.
There's all kinds of integrations - my app can control the climate, the cameras are integrated with data where I can see a live feed of my dog in the Tesla from the app. Physical buttons can't change, while Tesla is constantly improving the UI for things. Hell even watching YouTube in the Tesla will automatically turn off the headlights.

Tesla's software isn't just 'infotainment' it extends to controllers across the entire vehicle - all can be improved with software updates.
Pop _OS is an operating system for STEM and creative professionals
> there is still brain chemistry at play.

This is sort of non-descriptive. Every time you are happy, sad, angry, afraid, bored, tired; that's brain chemistry at play. Brains are electrochemical computers.
> The US still seems like a more welcoming place than western Europe.

I personally know peolle that left US for UK because they found your immigration system unacceptable.

If you are from india, you might have to wait 10 years to get citizenship after fulfilling all requirements.

Uk immigration system itself is worse than that of France and many other countries.

It costs $10,000 to apply for visas for a family of 4. Thats just the money you pay to the government, assuming you never need a solicitor to help with the paperwork.
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I love this response
What's the market manipulation?
The guy with the beard (most likely the one who knows the most about it) looks like he's ready to take a big step back though.
> Would they be wearing protective gear if it was an actual accident?

Nuclear warhead cores were routinely handled by hand. Not sure if they still are, but when intact and non-critical, they present very little radiation risk. https://www.smithsonianmag.com/smart-news/after-wwii-scienti...
Apparently activist investors have been pushing for cost cutting: https://www.wsj.com/articles/activist-investor-calls-on-goog...

I've read that activist investors have pushed for this at several tech companies and even heard theories that that's what actually kicked off the layoff avalanche.
Last I heard Tarn Adams is considering open-sourcing at least parts of it in the long term now that they are more financially independent. The Steam launch was probably the best case scenario for both developer and community.