skysight-inc/HackerNews huggingface dataset:
Okay, I've done so - at least the version at [0] claiming to be a copy. The dissent lays out a compelling chain of arguments, to the point that I'll retract my initial assertion of "the right decision".

However, I still cannot figure out what you are referencing when you say "Castle Rock explicitly prohibits states and municipalities from placing these sorts of restrictions [contractual employment requirements] on the police". Is this something from one of the earlier decisions, or what am I missing? I'd appreciate a quote or other reference.

To the extent that municipalities may need some explicit legal justification to fire individual police officers (as you seem to be implying), then that is its own problem. But I'd say it's unrelated to this case which is ultimately about whether the town itself is legally liable to Gonzales.

[0] https://www.law.cornell.edu/supremecourt/text/04-278
and get a well funded pension with many cops retiring in their late 40s to early 50s.
Bittrex US winding down operations
> AI should follow the whims of large centralized corporations

I'm not arguing that AI should follow the whims of large centralized corporations, but given the cost of training large models such as GPT-4, what's the alternative?

Do we need large language models as a taxpayer-funded public utility?
Perhaps a non-profit foundation?

I'm not sure what the solution is here, but I am concerned that right now, large corporations may be the only ones capable of training such models.
I honestly don't care in this specific case. It could be the head of the Union of Public Defenders everywhere. The fact is if you look at the funds allocated to support the police/prosecution, then look at the dollars spent maintaining the Public Defenders office (which should arguably be at parity), and given the unavailibility of "stealing from the populace" (civil asset forfeiture or fine assessment) to level the budgetary playing field, the resulting fiscal asymmetry would and should make any bookkeeper blush.

Our system is no justice system without parity between the prosecution and defense. That is nowhere near the case. It is an undeniable fact.
How do you manage python versions with venv? E.g. numba still doesn’t run on my system python 3.11, so I want a 3.10 somewhere, but can’t install it through a package manager, etc.
A police made up evidence story wouldn't get as many clicks. A lot of people get arrested for the crime of "driving while black".
Sorry if I picked your comment but it seems one of the most upvoted.

What’s the correlation between the alleged privacy violations of OpenAI laid out in the article and the “bureaucrats only pretend to work”?

Honestly asking: if there are indeed privacy violations in OpenAI (we don’t know that yet I think) shouldn’t that authority address them?
ha - I've had my "interop" language in my head forever. FFI primarily by generating code directly into every lang (haxe-style), but ideally with a better lang behind it (imagine Python and Rust had a baby). Oh if I had the time...would be fun.
How to Avoid the ACropalypse
They are offering 8 years free data.
China’s chip industry ‘reborn’ under US sanctions Huawei confirming breakthru
This is the best little nugget of wisdom I've come across in a while, thank you for sharing it. It was well written and concise, and I feel like I understand the world a little better
For a moment I read it as police raided Clearview AI. Sadly this is not the case.
> sounds pretty suspicious.

Sounds toxic to me
Where is the file containing accounts that are artificially boosted? We can guess what its single line is, but how is it incorporated into the algorithm?
It doesn't seem particularly interesting? I would never make a formerly private repo public without first erasing the history. There's no upside to showing everyone your work in progress and almost unlimited downsides.
Regional Fallout
All in service of 'anti-bias' of course... /s
Look at where your failure lies here -- you literally just asserted your biases as "good" and said you failed to see another perspective.

That's literally the point.
Are you kidding me, running a botnet is easier than it has been in years if you're that way inclined. The amount of spam I see has gone way up over the last 6 months.
That's quite cool. If only we had a typechecker like

tsc --noEmit

to quickly check type errors in the whole project just to be sure that nothing broke in any file due to my change.
He's probably ignoring the externalities like the gas leaks on the way to your house or the power plant being able to have a huge scrubber that reduces emissions compared to what you can have at your house.

The most important reason is there was probably a financial incentive from the manufacturer of the gas/oil furnace that made it more profitable for him to sell you that.

Here we have such a massive state rebate on heat pumps, you have to literally have a lot of money and politics that equate to having your head up your backside to get a new gas/oil furnace. It's larger than an EV rebate and a much higher % of the total cost so you'd have to have a really good reason to stick with fossil fuels.
Well if they say “we will open source the algorithm” and then what they really open source is a little bit of slightly relevant code that doesn’t allow us to understand the algorithm, then what we can deduce is that they are trying to weasel out of public commitments.

I can’t say for sure if that happened, but if they made a clear promise and then did something else, it’s perfectly reasonable to call that out.
Not to mention the Carnot efficiency losses causing ~50-70% of the heat energy at the generator to go out its cooling system.

Yes, It's not clear at all that heat pumps are always a win -- depending on the energy source mix of your local grid. But with a COP of 3-4 (i.e. 3-4 times more heat is moved by the pump than is supplied as electrical energy) if there's a decent renewable contribution to electrical generation on your local grid, it might well be a win in terms of CO2 emissions. YMMV.
Twitter's Open Source Algorithm – Unveiling the code, but not the secrets
If I needed a full-size truck, I'd consider a GM (alongside Toyota and Ford). Without CarPlay, I'll buy one of the other brands.

If I wanted a near-supercar, I'd consider a Corvette. Without CarPlay, I'll buy a Cayman S or something else instead. The Corvette might be measurably better in most performance metrics, but if I can't use the apps I'm accustomed to using, I won't buy it.

The rest of the GM line-up? Yeah, pretty uninspiring.
I read that as being able to make sure they don't lower his engagement with a release
Engineers who work at twitter can easily find another job in the US.
There's a degree of truth in that, but I think it applies for larger companies, especially very profitable ones.

On the smaller side, I've noticed that I can build the same 'thing' for two organizations, A & B. Org A will struggle to get any value from it, and Org B will make a killing from it. From my standpoint, it was approximately the same tech, same effort, often even similar problem space. But some companies are better at extracting value. You able to take software X and get $3M in sales from it? You'll have no problem paying me $150k. Someone else with same software X struggling to operate their company to make a profit... they won't be able to pay anything.

This idea that someone is 'worth', say, $300k/year because of their skills or experience just doesn't seem all that productive. Or... perhaps what I've been hearing is people conflating what they 'should' get in the marketplace because of past experiences. Finding the companies and industries that can extract value from what you provide isn't always easy.
Yeah, that's exactly wht I mean. I knew polyopoly sounded wrong, but I couldn't figure out what the right word was!
Probably not. Multicore has been a thing for 30 years (We had a 32 core Sequent Systems and a 64 core KSR-1 at UW CS&E in the early 1990s). Everything about these models has been developed in a multicore computing context, and thus far, it still isn't massively-parallel-distributable. An algorithm can be massively parallel without being sensibly distributable. Change the latency between compute nodes is not always a neutral or even just linear decrease in performance.
The salesman could very well be correct. The reality is the numbers are incredibly contextual relative to specifically where you live.

A great example of this exercise was Harry Metcalfe actually doing the digging and the math to attempt to objectively measure his impact, and whether an EV or PHEV made sense as a daily given where he specifically lives in the UK is primarily powered by coal: https://youtu.be/k15n6QAe8cE

For him, right now, PHEV was lower impact, but he makes it clear that that will very likely change over time, and that if he lived elsewhere, he likely would’ve went EV.

- - - - -

This is a classic example of, “it depends.” If you live in an era with lots of sustainable energy, it’s likely a no brainer, but the math changes if you lived in an area powered by a lot of natural gas, or around Appalachia which is still predominantly coal. To answer the question, you have to get the information and do the math to understand what decision you want to make, given your requirements and goals.

- - - - -

For the record, Harry’s Garage (and Harry’s Farm) is a gem of YouTube’s car community. He doesn’t need it to make money, so he just does what he wants and goes down a lot of very nerdy rabbit holes (including sustainable energy, gov’t farm and energy policies), and actually USES his cars for REAL trips — like taking his Testarossa through the Sahara, etc. Harry was basically an “eccentric super car owner” in the 80s/90s (and ghost wrote articles in UK car mags for a while as an “anonymous/eccentric super car owner”) that ultimately founded EVO Magazine, helped influence a lot of the cinematic direction for the Top Gear reboot in the early 2000s, and was the inspiration for “Clarkson’s Farm.”

He’s a nerd’s nerd, and an absolute treasure.
> Simply put, many humans

The fact that many are mentally incompetent cannot be a reason to produce something similar. When somebody does a job, we expect such job to be done properly, and "brains" are pretty much required, intelligence, if only for the occasional cases outside norm - otherwise, there is automation.

> if its useful

It is not easy to confine an affabulator to the contexts where it will be useful.
It is a parrot but on the other hand it "read" a lot more compared to an average human. When someone uses fancy words or sentences, they still can apply them to a situation, even without understanding what they're saying. By doing so, such person may accomplish more or fail if someone calls their bullshit. So ChatGPT will be both useful and useless - just like this conclusion :)
You're not kidding! it's far
from perfect, but pretty funny still...

https://www.reddit.com/r/StableDiffusion/comments/126xsxu/ni...

Too bad SD learned the Shutterstock watermark so well, lol
I think they meant that Twitter developers can make sure their most recent changes won't get them fired by lowering his visibility.
Is it unreasonable to assume this article was also generated? It's the unnecessary numbered list (a favorite of GPT) that gives it away.

Only being facetious. Not much new to discuss from this article, it's a very shallow overview despite the links to other research papers.
Pretty sure there’s barely any meaningful Training data for this?

Would be interesting to see these models return a kind of coefficient indicating how “often” a semantic context has appeared in the training data..
> it's also quite believable that after a deployment he might have noticed the popularity of his tweets going down

He did notice it and it was treated as a 5 alarm fire, with a Musk cousin sending 2 am slack messages (on a Monday!) to Twitter engineers to urgently fix Elon's reach[1].

1. https://www.theverge.com/2023/2/14/23600358/elon-musk-tweets...
> But, we do have a bit of code that measures metrics on his account, so can we find the bit of code that increases the engagement on his account?

There doesn't need to be. When they run AB tests, it's possible that they'd pick the winning cell if it makes the Elon metrics look better.

Even if the algorithm doesn't do anything explicit about boosting him, it can be tweaked through AB testing to favor him.
This exactly.. But without the models or policies we can only infer, which give plausible deniability.

Can't say I'm shocked overall, but it's strange to see it so 'on the nose'
VSIX Cookbook for Visual Studio Extensibility
It's not clear to me if the author is using GPT-3.5-turbo or GPT-4, both are available in ChatGPT and just saying "I'm using ChatGPT" doesn't indicate exactly what model they are using.

Maybe I missed it, where does the author say they are using GPT-3/3.5, not GPT-4?

I agree with your message in general, there is night-and-day difference between GPT 3.5-turbo and 4. But I'm still not able to see which one the author is using.

Edit: seems the avatar in ChatGPT tells you which model you're using, never noticed that myself. Thanks everyone :)
Salespeople are often ignorant af.

I have both a heat pump and a gas furnace.

I program my thermostat with:

- Electric cost per kWh

- Gas cost per therm

- Heat pump afue

- Furnace efficiency

It does the math and runs whichever is cheaper.

This past winter, the heat pump was cheaper down to 5 degrees Fahrenheit.
It used to, but a few years ago (2019 I think?) they changed so that it's a properly separate display.

The only thing you can't do is separately play audio from the phone (because the CarPlay unit is basically serving as its output while it's connected), or use your maps app to do something different while the navigation is running on the CarPlay unit (because CarPlay is just a view into the phone's apps, and so they'll both be in navigation mode).
That's correct. Bluetooth for initial handshake type stuff, then ad-hoc wifi for pushing the video/data stream.
To be fair this as nothing to do with the idiotic lab meat ban.
It’s actually not even a ban, just a “ban on collecting data from Italian users without a proper disclosure” with a 2 months deadline to comply.
You can if you have same base weights.

If you have similar variants of the same task you can accelerate it more where the diff is.

You can't average on past results computed from historic base weights - it's linear process.

If you could do that, you'd just map training examples to diffs and merge them all.

Or take two distinct models and merge them to have model that is roughly sum of them. You can't do it, it's not linear process.
What can you do with speculation other than causing people to lose their life savings?

What good is there in a so called currency based on fictitious tokens created out of thin air and backed by completely nothing and adding nothing useful to society?

Even Nvidia agrees:

https://www.theguardian.com/technology/2023/mar/26/cryptocur...

At least gambling is regulated where as crypto is a unregulated decentralised wild west where there is no protections whatsoever.

Where is the use case in people losing money in a pyramid scheme using crypto tokens?
You're correct, makes more sense now
** Generally, the system environment a program is started from provides the

interface to persistent/non-persistent resources used by/accessible to the

running program. Within a program, the resources provided by system environment

running the program can be interpreted/used by the running program in a way

different from the system environment.

-- The running program does not have to interpret the persistent/non-persistent

resources in the same manner as the OS. aka data file program provided by OS is

stored in windows file format on hard drive. The program can interpret the

aforementioned data in the file as something other than a windows format after

the OS has fetched the file information.

** Not clear what single category of system environment using. (OS, DB,

integrated developer environment, file editor, compiled program,

interpreted program).

** Not clear if talking about program data input sources & when/how input

sources are used. aka From command line, redirecting database query result

containing a runnable shell script as input to a command line shell.

** The system environment a program is run from can make the resources

a running program uses appear to come from something different than

where the system environment got the resources from -- aka. program

environment provides running program a file from local hard disk,

where the 'file from local hard disk' might have been fetched by the system

environment via internet connection from a cd located on a remote machine.

Virtual machines running macOS under windows is one example.
An alternative frontend to git cli is a good idea, since several git command names are very counter-intuitive. Git checkout to switch to a branch that you already have checked out, git add for adding new files, for marking resolved as well as for staging. Git status only shows your local status without looking at the server.

The frontend can be a ui or a cli like this with a good explain command.

It is important though that the final git commands are shown, such that you can learn, and find more details on the internet when needed.

So learn, yes, but whilst avoiding many initial pitfalls.
I look forward to 10-15 years from now when lack of scalability is proven and comment sections will say exactly what you're saying here as if everyone knew it all along.
This is not a big deal. Ignore the FUD.

All the trucks hauling stuff around the port of LA/LB/Oakland/etc would be perfectly well suited for the Tesla Semi today.

Second, just like what happened with the Tier 1 diesel requirements, people will start stockpiling the old versions in the years running up to the deadline. It's free money for anyone with the capital to do it.

You've got until 2040-2045 before they start running out of new old stock. And by that time, diesel-to-bev conversions will be cost effective, naturally with a core charge of taking the diesel powertrain, doing an overhaul, and then selling it for installation into an existing titled heavy truck.
It sets the default to zero, but apparently can range up to 100. So... what modifies it? (The answer is probably in there somewhere, but I'm sure someone will find it before I do.)
If they allowed you to git-blame the algorithm, some poor coder would have definitely gotten murdered by a crazy person who thought they purposely changed something to hurt them
You may have missed the intro blog post for those APIs: https://openai.com/blog/introducing-chatgpt-and-whisper-apis

The title is "Introducing ChatGPT and Whisper APIs" and features quotes like "Snap Inc., the creator of Snapchat, introduced My AI for Snapchat+ this week. The experimental feature is running on ChatGPT API".

So, OpenAI refers to accessing the model powering ChatGPT as the ChatGPT API.
Don't think either of us are interested in a debate on the definition of the word "skyrocketing."

I'd be interested in a survey of New Yorkers on how much they think the murder rate rose from 2019-2020. I suspect they'd be pretty close to the right answer (48%), you think it'd be much higher (if I read you correctly) but without that data we will just have to agree to disagree.

> I find it particularly ironic that you complain about mainstream media coverage of Trump, but find it impossible to believe the media could be exaggerating crime rates.

This is a good example of the type of statement that passes as meaningful in partisan debates but is actually incoherent. I'm allowed to believe the media fairly reported one thing but not some other unrelated thing. There's no logical connection between the two that demands a consistent treatment. I haven't been caught in some epic contradiction.

...but if you have caught me in a contradiction, and you believe the exact opposite, then aren't we both in the same boat? If x and y cannot both be true then neither can ~x and ~y.
I downvoted you, and I don't necessarily disagree with your premise, but it's also tangential to the topic at hand.
Democrats / Republicans looks like it was added outside of SDLC [1]. This order without those features is sorted, likely by a linter, suggesting Elon and Vits are properly implemented, and Democrats/Republicans was just inserted alongside the Elon feature, perhaps just for this extract. Sorting it now results in a different order than the commit.

[1]: https://github.com/twitter/the-algorithm/blob/7f90d0ca342b92...
Perhaps if you did follow so many people they got drowned out, but with substantially fewer following, those recommended tweets were a big part of what I saw. Especially in the last year or so before Musk took over: Twitter went a lot more aggressive and didn't just show tweets which people you follow "liked", but also other tweets, which the algorithm somehow determined you might like, which was often wrong, and, moreover, so frequent that it made a big portion of the timeline. The "following" tab fixed this problem.
Parent didn’t say it’s not “political”. It’s reasonable for a wealthy person to feel that a system that discriminates against the poor is not a system they want to participate in.

(Note that I use discriminate in the literal sense, as a simple statement of fact.)
I have sympathy with the premise but unfortunately quotes like this completely undermine the reliability of the analysis:

World-class public transport, never needed a car in London

The idea that UK public transport is world class is absurd.

The author is doing extreme cherry picking by referring to the entirely unrepresentative London transport infrastructure and service.

Try living in a rural area or many urban areas, especially in the north, and talk about "world class" public transport to people there.
I realized not long ago that all I really want to do is walk all day maybe listening to audiobooks sometimes. That’s my retirement plan until I get bored with it.
Falls apart for typescript projects if js files aren't also committed and the package.json setup properly to export the JS code as a module.

Installing from GH directly can also fall apart when fancy built scripts are in place that have to be ran to create actual useful code. :(
More auto manufacturers are doing this, because they want to push monthly subscriptions for connected services. Plugging in your phone gets around that and gives you a way better experience.
You mean A/B testing of weights/biases?
animals which use tools: great apes (gorillas, chimpanzees, orangutans), monkeys, otters, dolphins, some bird species, octopus, and a few crocodilian species.

now LLMs are on this list. a thing which isn't born, doesn't experience, can be copied and instantiated a million times, and a single improvement can be basically immediately propagated to all instances. a very unfamiliar thing with very familiar capabilities.

so, technically, it was obvious. socially and psychologically, we'll be dealing with it for the rest of our civilization's lifetime.
I don't use Twitter, but this is awesome. I hope this will help more people realize how complex it is to build and operate web services.
He is not the President OF West Virginia
NCSA Mosaic FlatPak
Pretty much by definition its not going to be good at highly custom or uncommon programming tasks since it won’t have seen many examples to generalize from. I doubt you could get better results from a freshly hired human either.
Easy-Motion, or whatever the new version of that is.
there are frameworks in place for this already, like GDPR. my comment is not about it being related in any way, it shows how you can see a certain decision making process, that is hostile to anything new