skysight-inc/HackerNews huggingface dataset:
If "better machine translation" isn't one of the main use cases for LLM's there's something deeply wrong with the people deciding the uses. You cannot not get that without effort.
In my book boilerplate = repetitive code you can't abstract.
Don Bateman, Champion of Airline Safety, Dies at Age 91
Green icon means GPT 3.5. GPT 4 is purple.
Search for Rosetta on this page

https://docs.docker.com/desktop/settings/mac/
https://archive.ph/wz68m
The painting that the woman left behind seems to be what has attracted people to this case.

I look at paintings on a daily basis, and am very used to 'reading' them. Here I what I get from it...

- The artist did not go to art school, or receive any other formal training.

- I belive that it was painted by a woman.

- Most of the figures in the painting seem to be women.

- The two figures on the left were painted using photographs as reference, probably the same photograph.

- The painting has a strong african feel to it, and its colors feel a bit Ugandan.

- The left/right chaos/structure construction of the painting is very strong. Many paintings feature such structure, but rarely as overt as this. This is a feature of paintings by people who have not received much in the way of a formal traing.

- I believe that this painting was made by a woman as a response to a crisis, probably of sexual/social origin.

- I belive it is also a self portrait.

Edit... I should say that I am using as reference the BBC's photo of the painting, as reffernced by user rwmj.
Cannot agree more. Even that argument was not only flawed but rather false. We use at least hearing to help driving. I'm not sure I'm alone, after closing all windows, I feel a huge different in the car just like I was disconnected from the outside.

The thing is, Elon has lots of fans.
CDK and JS SDK v2 are still open on Github.
I would skip on .io. Consider .dev or something else
Honestly, if you JUST want to optimize for money as a SWE leetcode + getting 3 competing job offers at FAANG is still the best use of your time than any side hustle.

I recommendend asking your self “If I ALREADY had all of the money, what would I do?” and do that on the side instead.
The iPhone literally created the smartphone/mobile market and killed off flip phones, where Windows Phone, Blackberry, Palm, et al. all failed to do so.
> Wow look at this thing that has the potential to do labor that previously required a human's time and effort.

Yes, but also it still does "require a human's time and effort", what else is the required training data for these models except a large amount of "human time and effort". It's just scraped for free and all munged together. Bulk, unpaid labour.
It's not really sharing tough, is it? No source code, no models, no demo... just a couple pages of text, a couple of vague formulas, insufficient to reproduce results (which by the way should be the whole point of research papers). This is not sharing, this is just showing off.
I've had the best experience using Parallels. Not sure what exactly goes on under the hood but x86 performance on my M1 Mac is snappier than what I've experienced in VirtualBox (have never tried Multipass).

Regardless, performance on my beefy M1 Max MacBook Pro is pitiful compared to running natively on an x86 system.
Elon Musk was actually passed by Bernard Arnault (LVMH) this year.
I'm pretty sure Russian Empire had ice cream. Google for long reads online - ubiquotous in late XIX century.
> The US has a much worse record track in Latin America than in Europe, no wonder that systemic competitors try to exploit it.

I liked your explanation, but this part - I agree with you, thats the sentiment there - BUT it just doesnt make sense at all. Europe exploited much more the Latin America, than US did. US was actually one of the first countries that fought this exploitation.
I think my taxes would be the most boring audit ever, but the point is you need to have a system for indexing the stuff in case you need to find something and you need to set some kind of retention period (possibly a flexible one depending on the content) so it doesn't become a burden on your life. There's no reason I should continue to provide space in my life for a document that just says what greasy spoon restaurant and hip bookstore me and my ex visited in 2003. Maybe something more important, as you alluded to, can be moved to a different queue.
> no one knew if it was a new black death or just a harmless virus

When did "no one know"?

There was already data in early May 2020 showing risk by age group

https://twitter.com/d_spiegel/status/1260542469256753153
Theres gonna be so many blackhat use cases for LLMs.

For whitehat I think the use cases are narrower than people think.
Low stakes things like - feed it your own data, and use its responses as a general direction pointer rather than anything authoritative. Like turning to your coworker who then sends you the correct doc/wiki link that you forgot, but AI.

It just strikes me as being like a precocious 12 year old who is well read, overconfident, and occasionally lies.

I find ChatGPT basically useless as they've put so many guard rails & programming around the LLM it basically "both sides" everything.

It is really just data recall, summarization, and bullshit randomness layer on top.
Yeah I can’t fully agree with axioma #2. While people learn when you challenge them, every person reacts differently when they struggle. And there is this thing, anxiety, that makes people insecure. Mathematics anxiety is even a thing [1].

So I think this axioma is based on a previous one: everyone wants to be challenged, which I believe is not true. You have to give people a reason for that motivation first, to be able to challenge them. Otherwise you will make people feel insecure, because they will think that they’re not smart enough, and we are taught that maths = smart. (Maybe we have to tackle this social construct first.)

——-

[1] https://en.m.wikipedia.org/wiki/Mathematical_anxiety
They only use them where needed for other purposes (i.e. electric isolation). They don't require joints for thermal purposes.
The term "language model" is ... well, let's be kind and not say misleading. Let's say it is over-ambitious given the current technological capabilities.

What language models, model, is text, not language. More specifically, language models do not model the human language ability, i.e. the ability of humans to recognise and generate utterances in a natural language, like English.

This difference is not some terminological quibble and it has very practical implications about what can be achieved by modelling text, rather than language. See, text is the product of language, but it isn't language. In technical terms, in the context of a corpus of text used to train a language model, language is a hidden, or latent variable that is not directly observable in the corpus and so cannot be modelled directly.

That a hidden variable can "not be modelled directly" means that it must be inferred from observations of other variables, to which it is correlated. There are two problems with this, with respect to LLMs trained by Transformers.

The first problem is that Transformers are not the right approach to model hidden variables. There are machine learning approaches that can be used to learn hidden variable models, for example various forms of Expectation-Maximisation, like the Viterbi algorithm; Hidden Markov Models; Latent Dirichlet Allocation; etc. But Transformers in particular are not a latent variable model.

The second problem is that even latent variable models must be trained with examples of hidden variables in order to be able to predict the distribution of hidden variables in new data, not seen during training. What this means is that in order to train a latent variable model to predict language from text, one needs examples of language, not just text.

And where are those examples of language? Remember that when I say "language" I'm talking about the human language ability, which is what, ultimately, produces all language generated by humans. Well, we do not have access to any examples of that human language ability. All we have is examples of its products, or maybe even byproducts. So we can't model that ability.

tl;dr: We can't model language, only text, because we can observe no examples of language, only text.
Monoliths, Microservervices and Mainframes: Amazon Prime Video’s Monolith Move
Blood test for 50 types of cancer could speed up diagnosis, study suggests
What's your life expectancy is you let Tesla FSD do all the driving for you, without you supervising it?
Focusmate. That's all you need :)
Had the same story as you. Focusmate is the one that only works for me, I can stay with it productive & focused and I think you will too! Like this tool is so valuable to my life that I would pay 100 bucks or even more per month.
Refits might cost less than a full $10,000 refund, but they're definitely going to be expensive enough I could imagine Tesla trying to do everything in their power to avoid.

Installing the LiDAR unit in the front bumper would require replacing the entire existing front bumpers since there's no handy fake grille or whatever you can pop out and replace. You'll also have to paint the bumpers to match and blend onto surrounding panels since these cars have been in the sun long enough that a fresh-from-the-factory bumper will have an obvious color mismatch. If you don't, you'll have pissed off car owners to deal with and, in all likelihood, another class-action suit.

A roof-mount avoids that, but has its own issues. You'll needs techs to drill a freaking hole in the roof, mount the LiDAR unit, hope that they manage to seal the penetration well enough that water won't leak into the car, and then run cables through the interior. A whole hell of a lot of cars will leak, even if the work is performed to spec, so you'll have extend warranty coverage to deal with it. Plus, you've now got an ugly box on the roof that may or may not match the paint properly, whereas presumably the new cars will at least integrate the unit's lines into the body panels so it's not quite as obvious. The same thing goes sticking it on the hood. That's to say nothing of any hardware replacements and the fiddly bits that'll be necessary for refits.
To give more credit, I know your company was working on your own optimizations, which are prior art. It's possible that you made a 180 GB/s shader on your own (quite slow compared to my 319 GB/s). Or that the 319 GB/s was used, but the self-attention bottleneck was non-negligible.

However, for whatever reason, when Greg Gerganov started work on the Metal backend, you made a product announcement almost a day later. That seems like a non-coincidence and there must be some logical explanation.
I believe the paper asks something like this: why should it be that certain unsupervised (naive statistical) compressions of data produce structures which map to semantic categorisations (not present in that data)?

If i've understood the question of the paper correctly, my answer is simple: we induce "semantic categorisation" into (non-semantic) data structure.

In otherwords: we do not take random pictures of dogs (eg., at a zoom of 1000x on their skin); we make them subjects of photographs (and so on).

We exploit non-random non-semantic structure in communication as a kind of "helpful meta-data".

In ML the answer is always just "the data generating process (us) gave the data those properties" -- I struggle to see why so few people in the space fail to mention this

I think it's highly doubtful anything in ML (, modern AI) would work if pointed "open-camera" at arbitary parts of the world. The trick is always: we hold the camera.
If an EV is standing still, then I'd rate the danger level to be zero.
It is a ploy to get to Pentagon from underneath, clearly.
Cave painting is less limiting than an old computer, not more. You can paint anything you want in a cave wall: reproduce a flat old painting; make a graffiti with a 3D effect; carve the wall to create depth; programatically generate a pattern of colours that is then painted by a robotic arm…

On a computer you’re constrained by the hardware and software. It’s its own smaller world which exists outside of you and has intractable limitations. But if you dedicate enough time to understand the system and keep trying, you may achieve what was otherwise thought impossible. The process of discovery can be more enjoyable, interesting, useful, and artistic than the output itself.
WSL and you just can completely avoid Windows Terminal if you work on Windows but not with Windows. I.e I do devops, linux development in my Windows Box running an openSUSE box in WSL. It integrates pretty well with visual code for instance.
New Manual for SQL in Github
You don't need to remember everything
The key to long term personal growth is just showing up every day.

Start with one project you actually want to do. Today, not tomorrow, work on it for an hour. If you spend that hour actually doing it and not just staring at Reddit, then you’ve won for today.
Do it again tomorrow. It doesn’t matter if the project takes your three years at that rate. Keep it up and you will eventually get somewhere you are proud of.

Add another project if you successfully make a habit of working on this one every day.

Another key: do not beat yourself up if you miss a day. Just start again the next day. “Streaks” are for apps. Just go back to work.
Could have named it rbsh. Though the pronunciation could be controversial.
Is a hidden account in macOS considered a feature?
In July 2020, a co-worker and I discovered that hidden accounts could be created in MacOS in a very low-tech manner. In such a manner that they do not appear in the GUI and neither appear to the command-line `dscl . -list /Users` command. Though I haven't tried this on the latest MacOS iteration, I do know that it works on many MacOS iterations and likely goes back to the early days of OS X.

I submitted this to Apple in 2020. They told me that it is not being considered a vulnerability. (I guess that means it is a feature.)

In my proof of concept to Apple, I demonstrated two types of attacks.

(1) A supply-chain attack where the account(s) could be created and be accompanied by payloads prior to adding any corporate profiles, drive encryption, and/or additional security features and the account could be accessed after these features were added.

(2) A compromise of a Mac that was already configured.

I am well beyond any non-disclosure and am looking for opinions on whether this should be considered a vulnerability before sharing further.

Note: I am aware of some documented methods of hiding accounts on MacOS and OS X, but I have never seen this method demonstrated.

-Snakeroot
> Of course we can play GTA with just vision, but I'd argue the average person crashes in GTA more than they do in a real car.

I’m fairly certain that people would drive more safely in GTA if their life was literally at stake.
I think that’s why they are able to hold to their vision to some extent. They have margin, which makes it possible for them to resist the siren call of ads and dark patterns to at least some extent.

A deflationary race to the bottom ends at the bottom.
> I find that ChatGPT/GitHub Copilot tend to give much better answers for the vast majority of programming related questions

I'm not so sure about this.

Firstly, ChatGPT seems to hallucinate quite a lot, which can result in me wasting a lot of time, especially when the hallucinations aren't immediately apparent.

Secondly, presumably the content of Stackoverflow had been used to train ChatGPT... so if Stackoverflow and all of it's human-generated content disappeared, to be replaced by AI-generated content, that could be a bad thing for ChatGPT in the long run.
You pay for parallels, right? I always try to find something that's fully open so I'm able to control my destiny fully. That's a bit ironic trying to run on apple hardware, but if the entire stack above the bottom layer is open then I can easily switch hardware of course.
There is an existing person claiming to be a DOD contractor whistleblower on the subject of remote neuro tech that claims a method of hypothalamic interaction is in current use (though the claims re. capability basically go all the way so to speak). Yes this not a well established claim, and conspiracy theory-like in its nature, but that would have to be the case as it couldn't be otherwise (unless the tech was not classified).

Martin Seidel:
A high-level summary of some capabilities.
https://vocaroo.com/1eqnsEwSYLlZ
https://vocaroo.com/1eMX8LOUYrV6
https://twitter.com/MartinS67861003

Also see:
https://gilfox.wixsite.com/akwei

I would be curious if anyone could see this because through some playful testing I was able to find that my posts only on this subject are censored/shadowbanned on certain platforms.
For every seller there's a buyer, so there will always be investors parking money into the platform.
They can’t build that. Nobody else can either. Nobody will pay for it.

People will generally only pay for things that make them pay by being closed. So we can’t have nice open completely free (as in freedom) things because there is no way to finance their creation.
OK I read the last paragraph and immediately though "I need to go ask ChatGPT something like this".

"Does holding your breathe underwater for 5 minutes cure headaches?"

Unsurprisingly of course while it said this is not a proven treatment, it did not have the reasoning skills to suggest that, hey that might be dangerous and is an unsafe thing to do, etc.

It is funny how many responses it will fill with finger wagging and safety warning, but asking about holding your breath underwater for 5 minutes is not one of them.

Makes it even more clear there are 1000s of manual overrides being programmed on top to meet OpenAIs specific world view of moral right & wrong.
> I suspect I may have ADHD or some kind of dopamine addiction but I'm not sure.

When you’re not doing things you want (to want) to do, what are you doing instead?

E.g. are you doing things that still require longer stretches of attention/focus, or several short stretches of attention/focus?

(I’m not a doctor or even remotely an expert on the subject, but I do have a son with ADHD.)
I will be pleasantly appraised if the FTC even begins enforcing anticompetitive at all. They might hit some with small fine here and there, and occasionally an acquisition is blocked. But Apple getting away with their ban on third party app stores and browser engines after swinging at Microsft for years over shipping IE pre-installed? Google owning the dominant web brower, search engine, analytics platform, and a major ad sales network?

I'm not a fan of heavy government regulations, but if we're going to have the laws they should at least be enforced equally and fairly.
It was much worse - why pay scientists and engineers when you can arrest them and exploit them to work for free?

It's as bad as privatized incarceration and worse.
I don't think you're being scammed, but it's not fair that you're beta testing software that could kill me and I have no say in it and don't get paid anything. I shouldn't have to die because idiots trust Tesla marketing lies about safety.
Is there a headless mode to skip the BS when doing macOS VM or is something they think should only run on Apple Silicon alone?
I wish I could get rid of some of the buttons on my controller now, I have absolutely no use for the Disney+ channel or its button.
CMD wasn’t replaced. PowerShell exists alongside it.
Studying and going to school is your work. It is a full-time job, I wouldn't be overly worried if you can't use your free time very productively. You might not see it that way yet, but once you get out of school and go to work the same thing probably happens with your free-time. In my opinion procrastination becomes issue if it affects your studies or your work.

It turns out that after full days of work average brain isn't suited to do highly productive work.
This could actually work quite well.

Imagine if every SO question automatically had a ChatGPT-generated answer applied to it, but in wiki fashion, so it could be modified to remove errors, add additional context, point out hallucinations etc.

At the same time, humans could still answer too, providing alternative/better solutions, which ultimately are fed back into ChatGPT.
I'm actually a little surprised that worked; one of the major differences between HTTP/1.0 and HTTP/1.1 is that all HTTP/1.1 requests MUST include a Host HTTP header, so technically a HTTP/1.1 request without such a header is malformed.
For many things it’s about the constant exposure for years and years. Walking past workers doing this isn’t harmful whereas immersing in it day in and day out for years is harmful. X-rays are a good example. They would be harmful to an operator that doesn’t take precaution but they are harmless to patients who only have limited exposure their entire life.

We see this with many things but activist/special interest groups often distort the risks to persuade people to support their cause. Roundup comes to mind.
It used to come on DVD's, now you can create one from within mac os
And street-level light rail, for the obvious reason of sharing the street (even if not lanes) with other vehicles, as well as aesthetics.
A very pragmatic use of SOA / microservice.
That’s not data about autonomous vehicles. Tesla’s fsd is a feature where the car drives itself during some parts of a trip. The driver is always supposed to keep paying attention and sometimes take over control.

To show that autonomous cars are better drivers than humans you need data from autonomous cars in the same situation as human drivers. And that data doesn’t exist (yet), because truly autonomous cars don’t drive in all places and situations where humans do.
bruv, Mensa tests don’t indicate nothing
Get a notebook that you enjoy the feel and look of; likewise a pen.

At the end of the notebook layout a template for several types of day: working, weekend, social, resting/recovering, etc.

The template should be in ~30min units. Reserve a maximum of 3.5hours for deep work; reserve .5hr every morning for creating a daily plan; reserve .5hr in the afternoon for personal admin.

Then, every morning, fill each page with a plan for that day.

This is all you need to do. And to ensure you don't procrastinate doing this, realise: the plan is not an obligation. You are never required to do anything you write down.

The only reason you do this is so you arent blind to what you do and do not want to do. It's security, so you can enjoy you day knowing you've chosen it.
This is a quick and dirty demo just to show proof of concept.
https://youtu.be/oQw4x8Hn31I
Agreed, but positions like yours tend to get dismissed by calling you a doomer.

My enjoyment and optimism as a software engineer towards the internet at large has gone down dramatically, and I too believe we're 5 years away before quitting the Internet will be fashionable as not having a TV was in the 90s.

Between government control, Big Tech, toxic social media and now AI generated bullshit, the Internet as we know it, the single virtual space where everything is accessible from everywhere by everyone, won't last for very long.

But already today we're living on a dead Internet made of siloes and a single search engine hegemony. You can call it a meme, but the signs are all there, we're all enjoying our cozy FAANG jobs and any kind of tech activism pushing against this devolution, like the old cypherpunk movement or the hacking scene of the 90s, is pretty much extinct or too busy doing bug bounties for money.