skysight-inc/HackerNews huggingface dataset:
Is it truly the case? 2015 is not that far away, and from a personal account she was happy to be there and proud to have her image used in a research community.

When you read your article, it seems the _journalist_ tried to extract a saying from her. So she says something quite vague instead, mentioning "time to retire" again... because it's what is going to happen because of "time changes.
Archive Stumbler (Like StumbleUpon but for the Internet Archive)
> Recently I've seen someone on Reddit trying to automate the creation of PyPI projects through GitHub Actions. The person was complaining that the first deployment couldn't use an API key for that project since it didn't exist. So I'm not surprised some people are trying to do the same for malicious purposes.

Sorry for the tangent, but: you can do this now! If you use trusted publishing, you can register a "pending publisher" for a project that doesn't exist yet. When the trusted publisher (like GitHub Actions) is used, it'll create the project[1].

All of this is supported transparently by the official publishing action for GitHub Actions[2].

[1]: https://docs.pypi.org/trusted-publishers/creating-a-project-...

[2]: https://github.com/pypa/gh-action-pypi-publish
They have a home?!
Alphabet trades at a P/E of 27, hardly delusional.
Yay! Something I can contribute to!

I've been journaling for over ten years.

However, the last two years are MUCH more active than the first eight.

Why?

I _insisted_ on having my journals be digitally handwritten instead of just typing them.

I spent years looking for the perfect digital notebook. It started with this absolute unit of a convertible tablet that was really crappy but had a Wacom digitizer built into the screen. I got a Surface almost immediately on release, then did the same when the big iPad Pro dropped.

Yet I hardly wrote on them.

Why?

After a long day of working, the last thing I wanted to do was spend thirty minutes writing.

Two years ago, a mildly traumatic event happened to me. Nothing devastating, but it was enough for me to do _anything_ to track my mood.

I found an app that did this perfectly. As a result, Ive been contributing an entry to it every day since.

Sometimes I even record my entry with Voice Memos. (AMAZING built-in app. Works flawlessly and syncs via iCloud with zero thought.)

I remember much more of my life because of this. It is awesome getting a pop-up on my phone about something awesome that happened six months ago.

As it happens, getting it down, no matter how, is much more important than getting it down fancily.
>Why?

For the same reason that "I don't know" is generally a better response than bullshitting.

>It's not that easy to come up with something of similar length to ChatGPT's answer that also sounds somewhat natural/sensible

Those weren't requirements.
I'm surprised that a court-proven antitrust violator Microsoft would speak so openly about abusing it's dominant position in a different business to finance dumping a different product at low price to destroy a competitor.
Should the Cloud division live under Alphabet or Google?
All your face paper will be gone.
Once companies grow as big as Google nothing really moves the needle. They need to acquire competitors to grow revenue.

Any Google service that doesn’t meaningfully impact the next quarterly earnings should start getting ready for the chopping block.
I'm going to guess that parent meant "electronic music" rather than "digital music". I can see their point, at various times in the history of contemporary music, there has been a preconception that electronic music is worth less than music played by performers, or that it's only good for the dance floor but not for listening. Especially during the time that rock music was big, let's say from the late 50's to the late 70's.

EDIT: I don't know if Switched on Back was mostly sequenced or mostly performed by Wendy on a keyboard, Moog synths of the time offered both options - I'm guessing it was a mix of the two but I might be wrong.
>The logic failure in the above statement

And which alleged logic failure is that?
Wendy used to hand-draw album covers for tapes of tests she sent to Bob Moog when he sent prototypes to try.

They are beautiful and childlike with wonder. A couple went to Smithsonian.

source: I’m former cochair of Moog Foundation
Yes, but what was the growth in similar companies? What if we compare GOOG to MSFT and a few others?

I see a lot of missed opportunities and wasted potential.
Love Kagi! Thank you for your hard work and amazing product!
While Visa renewal and the others mentioned may have been an immediate cause, I wouldn't be surprised by a general downward trend in observed American dominance (all other things remaining the same). The incentives to leave China and come to the US must be shrinking.
Long term diversification need at this point might be a little bit questionable. Like, will a global information network without ads ever exist? They just need to not lose in ads. Granted, they could lose access to more and more content walled gardens, but they could perhaps focus on penetrating those instead of focusing on distractions?
>This means autonomous vehicles might make a mistake that is practically impossible for a human to make.

Exactly—the mistakes are newsworthy because they're unusual (both in specifics and the general novelty of "AI did X"), and not because (exaggerations aside) they're categorically any worse than the mistakes humans make.

We are 100% guaranteed that humans aren't perfect drivers. A headline where we "discover" an AI is imperfect, therefore, doesn't let us conclude AI is worse than human drivers.

On the other hand, autonomous systems can benefit from direct learning transfer through shared software, whereas humans cannot. In this respect AI is categorically superior to human drivers.
It doesn't continually learn anything. Though some models can do web browsing and be guided by the results of that.
Can "pip install" actually run code? My understanding was that it doesn't, and a package needs to be imported by a script before anything gets run.
> downright laughable

*criminal

Not literally, but it's really, really awful for society to have no idea what physiques/transformations required AAS and which didn't. That type of misinformation should not be allowed, and it would be amazing if there were a reasonable way to ban mass media lying / misrepresentation. Unfortunately, any law like that would instantly get weaponized to obliterate any remaining first amendment protections.

It's crazy how many athletes I tried to keep up with at D2/D3 schools which I now realize were on heavy steroid cycles but at the time I just thought I wasn't eating enough / had bad genetics / whatever.

It's also interesting how the negative effects of light/moderate steroid use are really blown out of proportion, and how many men on "TRT" are getting their testosterone to twice the highest "normal" levels (e.g. reaching testosterone levels of 1500-2000) under a doctor's recommendation.

And men just blame themselves their whole life for simply not trying hard enough.

When I finally started TRT at the relatively very low dose of 120mg/week I laughed/cried for months at how insanely easy it was to build real muscle for the first time in my life. Training at 15-25% of the intensity that I used to over the past 20 years yielded 400% better results.
https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

https://news.ycombinator.com/item?id=13120301

https://news.ycombinator.com/item?id=23262914

https://news.ycombinator.com/item?id=23283645

https://news.ycombinator.com/item?id=23300355

https://news.ycombinator.com/item?id=24445910

https://news.ycombinator.com/item?id=24493088

https://news.ycombinator.com/item?id=26364285
More like shadow oligarchy in this case I think.
Encryption won't help here. They're just hosting content created by others.
Free Expression in America Post-2020 [pdf]
An interesting survey. Not at all what could be concluded from social media data. Some points:

* The perceived importance of the freedom of speech does not notably differ from the perceived importance of other rights.

* Political alignment differentiates freedom of speech issues, but regardless of alignment, the majority is concerned about things like dis/-misinformation, election denial, incitement, etc.

* A clear majority sees hate speech as a serious problem.

* The First Amendment is widely misunderstood.

* All rights are pretty much seen as being under a threat.

* Only a small minority of people discuss news online.

* Only a very small minority has been a subject of content moderation.

* People want platforms to carry out moderation but no one really trusts platforms.
I don't care what kind of problem it is. That doesn't change the threat model.
Microsoft had other reasons to drop 16-bit support in Windows 64

Namely, planned obsolescence. They realised that forcing people to consume could squeeze a little more $$$ from them.
The vast majority of workers can't take less shifts, unless they are OK with becoming homeless.
Always used Transimission.app
Yes, the models are not constantly learning. They only update their knowledge when they are retrained, which is pretty infrequently (I think the base GPT models have not been retrained, but the chat laters on top might).
Sandisk "industrial" SD cards are the only ones that have died on me (and no, they didn't come from Amazon but from a reliable source)
What about some method of "moderate to get upload credit"?

Obviously not full moderation (as you don't trust these people) but you could have them fed a few basic tasks that support moderation.

They would be give a selection of tasks, some of which overlap with tasks done by trusted people. If the user answers consistently with the trusted person, they get some credit. When a few such users show consensus on the non-overlapping tasks, those answers get accepted.
My point was that your calculator (and LLMs) is useful despite not having the same internal representation of things as yours.
Deluge still works the best in my opinion, and it's open source. Not super popular though, most people use the *torrent named clients.
I have bad luck with buying products that have Extreme or Fatality in the name...
Many big companies that are supposed to thing long term seem to be having "strategic leaders" going "I'll be a success in 2023" If I can claimed to have cut N costs, no matter how.

I know it sounds hiperbolic but when you remember how, in order to manage, many people in upper management end up focusing on few metrics that mean success or failure, then it's very easy to see how the individual careers of those positions can hurt the long term with these "quick wins".

It's not particularly surprising at this point in the year but will still be grating the next time you hear the propaganda.
what if you could own a build and the receive points on either survival or the other version points?

And you can build your own maps - and you set A and B and you win creds based on winner.

Fuck you Morgan Roberts at BLIZZARD you stole my legos
I don't know that I agree with this framing. Pgp could support multiple keyrings, for one.

Bigger, though, is that the internet isn't a web of trust in the same vein? Take out the CA chain, and websites fail trust pretty hard. Even adding them, we wind up accepting certificate pinning on browsers, as nobody has a better option, yet.

And that is building trust to web sites. The stick houses we have to trust communication is basically, "you always call us."

Edit: forgot to say that partial trust is pretty close to "believed, but I wouldn't bank with this identity."
What cases? The ones they tried to take to trial and lost twice? What’s the winning percentage on jury based trial for US prosecutors? 90%+ percentage and this guy has 0%. That’s what it needs to be investigated how two innocent people were prosecuted.

https://nymag.com/intelligencer/2022/10/john-durhams-igor-da...
see also

https://en.wikipedia.org/wiki/Decline_and_end_of_the_Cucuten...

and

https://en.wikipedia.org/wiki/The_Horse,_the_Wheel,_and_Lang...
A great milestone! Congrats
Thanks! Macroexpanded:

Why Did Thomas Harriot Invent Binary? - https://news.ycombinator.com/item?id=35663799 - April 2023 (48 comments)
The debris thrown up into the stratosphere from our weapons detonating in Russia would likely be enough to start a nuclear winter, not to mention the fallout making everything in the northern hemisphere a lot more radioactive.

Any large exchange of thermonuclear weapons is going to break most supply chains and lead to a great simplification of society and the deaths of at least 90% of the population in the process as industrial farming stops being a thing.
I think the consensus is that your initial statement even with the caveat is incorrect. People do not think that Nginx is a Russian product.
> I wonder how developers of computers came to idea to use binary numbers?

Logic gates[0]:

A logic gate is an idealized or physical device
that performs a Boolean function, a logical operation
performed on one or more binary inputs that produces
a single binary output.

...

In the real world, the primary way of building logic
gates uses diodes or transistors acting as electronic
switches.

0 - https://en.wikipedia.org/wiki/Logic_gate
Peter Attia made a video recently using precisely that observation as the reason he avoids prescribing it except as a last resort, and only then when he can get patients to increase their protein intake and start strength training while getting a DEXA before and after to keep track of the relative changes in body fat percentage.

The problem is apparently that studies only use change in weight instead of body composition, so doctors have to be aware of that and get the patient measured themselves to make sure they're actually getting leaner instead of losing weight but getting "more obese".
I wonder if there’s any chance they see the AI stuff as bluster. They decided it wasn’t a viable business continuously for years. Now competitors debut tech they already had and sat on. Are they suddenly like, oh god we’ve been wrong for years, or are they like, alright we’ll play along. If it’s the latter their non drastic actions could make sense (not saying I agree with them necessarily though if that is that case).

(Where the purpose of playing along would be to not appear to be behind to the public)
Does that include the "citation growth hacking" operated by the Chinese academic sector?
I think you're missing the obvious - paternity leave is expanding. It wasn't even a thing in the US when I started my career.

The idea that the only reason artificial wombs are being investigated is "corporate greed wants workers to take less time off for pregnancy" is so far fetched it might just be the silliest conspiracy theory I've heard in awhile. The amount of money going into the design, research, regulatory hurdles etc will not be paid off by decreased PTO usage. If anything, it'll just get used up again when the infant inevitably gets sick or a care worker isn't available to watch them.

Thanks for the chuckle.
To keep it up to date
Just to keep it up to date. 2 minute-short text, please just read if you're bored.
What do we expect? We demonize saving as "hoarding", talk about "stimulating the economy" by increasing spending, then in the next breath describe the exact same phenenon in negative terms when we talk about people living paycheck to paycheck.

We disincentivize saving systemically by debasing currency as a rule in order to disincentivize saving.

When the money is cheap the people and the culture become cheap.
A user might not know to look for that sort of thing. That's why we rely on regulators, safety standards, etc.

I didn't even know what "immobilizer" meant in this context before hearing about the issue with Kia and Hyundai a while ago.
ML (as currently used) is probabilistic. Whether or not you get what you want is up to chance.

Granted, based on the dataset, it's quite a bit more likely than winning big at the casino - but regardless, it's still not deterministic like intentional semantic markup.
In 5-10 minutes I came up with "Alarm! Naked actor moons queen below (under?) fruit trees, later hides under cheap hotel floor".

Note that I used one of those minutes to get a list of all 4 and 5 letter words, which I'm not sure whether the rules allow or not.
If you're only consuming the variable once, and it's inside a declarative syntax like JSX, then I'd argue it's more readable to use an anonymous function, because the reader doesn't need to look elsewhere, and the function is defined in the same place where it's evaluated. And you don't need to bother thinking up a name for a variable, which could lead you to prematurely generalize.

Personally, most of the time I assign to a variable. But I do think there are cases where the IIFE is an appropriate and more elegant approach.
they're also HSTS preloaded in https://source.chromium.org/chromium/chromium/src/+/main:net...
But, is there some legal requirement or regulation they were failing to meet? Or did they falsely advertise their cars as having immobilizers when they actually didn't? I'm struggling to understand where their legal liability for the thefts is coming from.
I much prefer the attitude of the chap that made the video "GPT 4 is smarter than you think" https://youtu.be/wVzuvf9D9BU

Instead of nit-picking flaws in what is a very early iteration of a revolutionary technology, he instead immediately started exploring ways of making it better and more useful.

Even with minimal effort that was essentially just copy-pasting some text around, he was able to show that the current way we use LLMs like GPT 4 is not the be-all and end-all of this type of technology.

I'm entirely convinced that we're just scratching the surface. It's like the first transistor, which was a crude, ugly, useless thing: https://images.computerhistory.org/siliconengine/1947-1-1.jp...

Just in the last two weeks(!), I've read about the following still-experimental methods for enhancing LLMs:

1. Plugging in "calculators" like Wolfram Alpha.

2. Adding vision input so they can understand equations, graphs, etc...

3. Filtering the output probability vector for certain allowed terms only ("YES", "NO", "MAYBE"), making them more useful in programmatically-invoked scenarios.

4. Similarly, filtering the output token list for syntax-validity, such as "valid JSON", "valid XML", etc... That is, instead of a purely random selection between to "top-n" output tokens, only valid tokens can be chosen, based on contextual syntax.

5. Storing embeddings in a vector database, giving LLMs medium-term memory, and the ability to index and reference sources precisely.

6. Efficient fine-tuning through Low-Rank Adaptation (LoRA), which allows desktop GPUs to tune a model overnight! This overcomes the "stale long-term memory" issue of ChatGPT, which only knows things up to September 2021. It could now read the news daily and "keep up".

7. External script harnesses that run multiple LLMs in parallel, with different prompts and/or different system messages. Some optimised for "idea generation", some optimised for "task completion", and then finally models tuned for "review and verification". Almost like a human team, multiple ideas can be generated, merged, reviewed, planned out, and then actioned. Check out "smol developer", which utilises Anthropic's 100K context window for this: https://www.youtube.com/watch?v=UCo7YeTy-aE

This is just the beginning. Chat GPT 4 hasn't even been available for 3 months yet, and practically all of the above experimentation has been done with weaker models because GPT 4 still doesn't have generally-available API access! Similarly, the 32K context window version of the GPT 4 model isn't available to anyone except a lucky few.

What will 2024 bring!? Heck... what will H2 2023 bring?
> Can "pip install" actually run code?

Indeed it can, and in fact has to by necessity in many cases: `pip install` boils down to (a variant of) `python setup.py install` for many packages, where `setup.py` is package-controlled arbitrary Python code.

This is also true for subcommands like `pip download`, as well as `pip install --dry-run`.

(There's some subtlety here, since this only applies to source distributions and not wheels. But source distributions are still the "baseline" way to distribute Python packages.)

> and a package needs to be imported by a script before anything gets run.

Even with wheels, this part is unfortunately not true: a package can install a `.pth` file[1], which can be used to auto-load code on Python interpreter startup, even if the malicious package itself is never imported directly.

[1]: https://docs.python.org/3/library/site.html
This is the result of an industry optimising for profit and not longevity. That's why SLC NAND has become almost extinct and priced beyond reason. I don't care how fast or large a storage device is if isn't reliable.
This is true but it's still extremely well established that you lose some muscle along with fat if you're in a prolonged caloric deficit without sufficient protein and strength training.
It seems like the information being disseminated by the article is just the mapping between the name and the concept, since every participant already knows that they want to be at the front of big levels and can take from the orders behind them if they don't like the fill.
Will they trip in an office or in the woods? It matters a lot.
Watch out, it will call the cops on you if one of the keys is "ALEP".
What mosquitoes are most attracted to in human body odor is revealed
I always thought the point with memory segments was that you could load a program verbatim without adjusting any pointers and do tricks like Terminate and Stay Resident and executing one program from another. E.g. Command.com and edlin.com don't need to know where they're loaded when they're both in memory, they just start at CS:0100.
> as soon as you've switched to 64 bit mode, you can ignore all legacy stuff.

That, I assume, is the point. If it isn't used by the vast majority why spend the silicon keeping it present?

> all the 16/32 bit mode stuff is all 'emulated' with microcode

That microcode still needs to be maintained, tested, & verified, with each chip iteration, so it is more than just a tiny bit of silicon that could be repurposed.

> and you can leave it there forever

If it is there it will be expected to work (otherwise why keep it?) and they need to keep verifying that containment. I'm not much of a hardware guy myself so maybe the risk profile is different - but I've tripped over, or been mugged by, so-called dead code that ends up having “interesting” side effects, enough times for me to not want a bunch of it in my CPU's design if it is avoidable.

Removing it has costs somewhere of course, both in Intel's design work and potential compatibility issues in minority use cases. But deciding to leave it in has costs elsewhere, so the options & risks need to be looked into in either case.
> There needs to be some extra step, be it a fee, identity confirmation, manual moderation/approval, or something else. I'm sure the PyPA devs/maintainers have ideas.

When I was younger, I always thought computing was so incredibly cool, because me, just some blind kid in Florida, could contribute and make things and share things and just ...participate. I would talk to friends trying to go in to other careers, and excitedly talk about what I was working on and be curious why they never did anything related to what they wanted to do when they grew up.

Now, I understand how this comes about, bit by bit, with the best of intentions.

And I hate it.

Please, just no.
If you want to set up a corporate only, super-sekret clubhouse of a PyPi that only the authorized developers can push to, well, the source code for PyPi is right here[0]! And here's Stripe[1]!
But please don't break even more of the open, free Internet that I grew up with, I'm pleading with you.

[0]: https://github.com/pypi/warehouse

[1]: https://dashboard.stripe.com/register
whatever you need to cope