skysight-inc/HackerNews huggingface dataset:
This is mostly a curse of Python’s popularity. The reason you can’t pip install with system Python is that it can break things, and when your system is relying on Python to run various tools, that can’t be allowed. No one (sane) is building OS-level scripts with Node.

The simplest answer, IMO, is to download the Python source code, build it, and then run make altinstall. It’ll install in parallel with system Python, and you can then alias the new executable path so you no longer have to think about it. Assuming you already have gcc’s tool chain installed, it takes roughly 10-15 minutes to build. Not a big deal.
Also https://computerbase.de sorta kinda fits here.
I've seen this so many times. I've seen instances where the execs/managers demanded it was turned off for them, and it was. 75% of the security I've seen at companies is pure theater so they can check the boxes for their insurance.
Wait until the moment that they can monetize it/save a bunch of money. Then see them dropping 5000-10000 employees globally because 'shareholders are pressing us to...'

Some banks that develop their own applications will start using it heavily when they will realize that their in-house trading platform can execute orders 0.0001 seconds faster (or something insanely small).

I strongly believe that the only thing that will hold AI/LLMs back is regulation, and nothing else.
This is exactly the argument we were all having about crypto a few years ago. "It's early days!" they told us for 10 years.

Now crypto is used primarily for crime and speculation, which is exactly what we'll be using GenAI for in a few years, especially as it poisons its own source of training data.
lol the cognitive dissonance of knowing your own argument is wrong and still not able to admit it
Really, the "input" to current deep learning algorithms includes all the training data. Which is where the root of the issue is.

There's a reason why compression comparisons tend to include the size of the decompressor in their comparisons - my "magic algorithm can compress wikipedia down to a single bye!" is less impressive with the "decompressor" contains a copy of wikipedia.
A type checker is only going to add limited value if you don't put the effort in yourself. If everything string-like is just a string, and if data is not parsed into types that maintain invariants, then little is being constrained and there is little to "check". It becomes increasingly difficult the more sophisticated the type system is, but in some statically typed languages like Coq, clever programmers can literally prove the correctness of their program using the type system. Whereas a unit test can only prove the presence of bugs, not their absence.
Plain BASCOM(.EXE) was the name of a BASIC compiler, IIRC, in DOS days, probably. Did not use it myself, but I think I remember a colleague using it.
Nonsense. The people who should hold responsibility are the people who have decision-making power and derive financial benefit from these choices. A rank-and-file employee is a scapegoat given the incentives at play in the system, even if they nominally wrote the vulnerable code
What is far off for you? Is it five years?
Case in point of what I was talking about above, femoid's comment is what you're going to run into if you interact with terf spaces, and it regularly spills out to attacks on cisgender people as well. It's not uncommon for terfs to harass and attack cisgender women under the assumption that they think they might be trans (I am not joking with that, do some research into how bathroom bills have affected the harassment of butch women).

And so whenever anyone says that transgender groups are reinforcing gender norms I kind of have to shake my head, because it's difficult to find a group more obsessed with the idea of stereotypical gender norms than the supposedly "gender critical" crowd. And unsurprisingly, that leads to a lot of reinforcement of toxic gender stereotypes; both in the idea of men as an intrinsically, biologically distrustworthy group, and in the practical reality that they are constantly looking at other women and thinking, "is this person a spy, is this person a man in disguise, is this person feminine enough that I can trust them."

And it's just so omnipresent. The above is a comment by someone who looked at a thread about whether or not transgender communities reinforce gender norms, where both sides are reasonably trying to be compassionate, and they could have tried to present a picture of terfs as anything other than what I described them as above, they could have tried to dispute my characterization of gender critical communities -- but they just couldn't help themselves, they couldn't stop themselves from jumping into the conversation and claiming out of nowhere that transgender people all have "a rapist mindset."

So yeah, if you're gender non-conforming, or you don't like gender stereotypes, or you're pushing away from a socially defined set of rules for gender, unsurprisingly, the communities that accept you as you are are all going to be healthier for your development than the communities that are constantly one "she looks too muscular" take away from calling you a rapist.

And it's helpful that whenever I try to explain this to people and they seem doubtful, a terf will literally register a new account just to jump in and prove my point for me <3
I think the simple explanation here is likely not that Snowflake has some giant undisclosed breach allowing access to it's customers data, but actually that snowflake instances are just insecure by default in fairly basic ways.

Snowflake built its business on making it really easy for data teams to spin up an instance and start importing a massive amount of their org's data. By default, the only thing you need to access that from anywhere on the internet is a username and a password. Locking down a snowflake instance ends up requiring a lot more effort.

And very few users actually end up interacting with snowflake directly -- they're logging into a BI tool like Looker, which accesses snowflake behind the scenes. So the fact that an org's Snowflake instance doesn't require being on the VPN or login via okta/azure ad/whatever SSO can fly under the radar pretty easily. Attackers realized this, and started targeting snowflake credentials.

Seems similar to all the S3 breaches that have come out over the years -- it's not that s3 has some giant security hole (in the traditional sense) -- it was just really easy throw shit on S3 and accidentally make it totally public.
Making AI safe is impossible and stupid. If you want chatbots, use some NLP and a state machine.
Even if they matched pay and benefits, the bureaucracy is insufferable for anyone who likes to get shit done.
It’s hard to say because we’ve come up with a lot of ways to work around the fact that threaded Python has always sucked. Why? Because there’d been no demand to improve it. Why? Because no one used it. Why? Because it sucked.

I’m looking forward to seeing how people use a Python that can be meaningfully threaded. While It may take a bit to built momentum, I suspect that in a few years there’ll be obvious use cases that are widely deployed that no one today has even really considered.
What would you need to ease the transition?

I would like a trial job and a trial house for 6-12 months. Ill find something myself. It should probably involve a schedule with social interactions and someone to monitor the progress. Other people who just relocated are probably interesting to talk with.
What makes a continuous load outlet so expensive? If they were mass produced couldn't they be pretty much the same price?
It's getting centralized anyways, just not inside any federal agency. Instead they're outsourcing it to companies like MS and Google who provide hosted services. This gives the agency cover so long as they do their part (like making use of MFA, using encryption on email). Then they can offer a claim of making their best-effort and going with industry "standards" (standard as in common, not as in ISO, ANSI, or others).
It’s overhyped like the internet was in 1995.
It is extremely easy to burn out cause if you’re the best and have aspirations to move up, you’re just fucked. You will be blocked at every single opportunity while others around you fail upward.

I guarantee that someone in the org saw a password file and said “yo? wtf? Let’s get a proper secrets vault going we can do it ov…..” *punched in the clit, thrown out a window*
> To be honest I can't imagine shipping any project intended to be run by users and not have a simple, fool-proof, and low-effort way of running it by anyone of any skill level, which doesn't depend on any real knowledge of the language.

This is how we got GH Issues full of inane comments, and blogs from mediocre devs recommending things they know nothing about.

I see nothing wrong with not catering to the lowest common denominator.
At what point does antitrust become protectionism? The EU loves to make these sweeping mandates in the name of consumer choice, when the result will be a worse product for everyone.
Lovely! And a single excitatory postsynaptic density is an amazingly complex aggregate of 500+ different protein species — perhaps hundreds of each type (see Seth Grant's work:
www.synaptome.genes2cognition.org

And yet we typically treat this amazing molecular complex as an “on-off” switch. What a joke of reductionism. A better crude metaphor is that a single synapse is a context-dependent microprocessor.
Alternative File-Type extension for TypeScript files (.ts = MPEG-2 video)
AI right now is like covid in March or climate change in the 1980s. It's no longer a real intellectual debate on whether it will arrive (that is basically over by 2022) now it's an emotional battle where people are incapable of accepting that such a possibility can exist vs actually calculating
What's current AI platforms are missing is a friendly way to use their API individually. It should be easier for me to use my own ChatGPT or Claude account on another app/website. They could get a much bigger revenue with that too. But none of them are really willing to share the pie.
True but i think some sigmoid curves have very low probability. Like COVID doing down right after it spread in NYC
AI ethicists have been thoroughly underwhelming in delivering cogent arguments that sound like anything more then simply insisting on themselves.

Meanwhile in the real world, regular politicians have reacted surprisingly quick to updating laws for new relevant loop holes: i.e. non-consented deep fake porn generation.
Worse how? It just means devs can access the API, if the customer installs their app and consents that that's what they want to happen.

Apple still gets to be the default wallet, which is a huge, huge advantage, plus they make a boatload on the hardware.
I'm a little confused what this means in practice vs what's there now.

I can add a CCard to my apple wallet and make it the default payment method. Does that involve Apple? I can also add public transportation passes and choose which one is the default. Does that involve Apple?

I do get that the Apple CCard itself seems to get special treatment in the Wallet but I'm not sure what else.

Note: I'm for more options. I don't like the idea that Apple and Google are inserting themselves between people and nearly every business. I'm just curious what you all envision seeing come out of this (positive examples)
My read of responsible people are corporate officers and executives--people who actually choose what to work on and are substantially rewarded by the corporation.
has anyone converted into a format we can load into https://squares.io/ ?
You're right, I have it flipped. We see fewer greens and more blues.

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

https://en.wikipedia.org/wiki/Color_difference#/media/File:C...

You probably be more interested in or CIELab. OKLab builds off this and tries to fix lightness.

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

The Munsell Color system is also pretty cool.

https://en.wikipedia.org/wiki/Munsell_color_system
Not sure of Tau's exact features but one nice thing about the Vercels and Netlifys is the integration with Github and easy CI
/CD setup.

Having CI taken care of by just installing a single package on your own server is compelling.

The main think that they take care of that this probably can't on bare metal is redundancy and uptime and scaling.
"Past performance does not guarantee future performance".

This is a basic tenant of Boglehead. Chasing returns usually means you "buy high, sell low".
Here's the thing though: You don't agree. Not really.

Because Goldman Sachs have been using AI for well over a decade. They're saying one (popular right now) thing, and very much doing another (quietly).

Their employees are capitalizing on this latest AI boom [1] to make their efficiency go way up, radically changing their processes... And a lot of people who were slow to grasp what AI can do for their workflow are being made redundant [2].

I can only imagine what those people laid off are thinking of this statement.

1 - https://www.wsj.com/articles/goldman-sachs-deploys-its-first...

2 - https://duckduckgo.com/?q=goldman+sachs+layoffs
Exactly. I’ve thought since ChatGPT first took the world by storm that the directional promises of AI were completely correct but the hardware isn’t at all there yet. The dot com bubble crashed yet the Internet is more important than ever today.
Marc Andreessen Grants $50K BTC to Autonomous AI Agent on Twitter
Unfortunately the linked article is the best public write-up I could find on this story. Much better background context comes from this 15 min podcast episode that didn't have a transcript to directly link to, so here's a link to the episode and some highlights from it:

https://pod.link/1680633614/episode/832029a2e9daefffdc622505...

Marc Andreessen, a prominent venture capitalist, gave an AI agent called "Terminal of Truths" 50,000 in Bitcoin as part of an unusual experiment.

The AI agent was created by Andy A. Ray as part of his experiments with AI, including "Infinite Back Rooms" where two AI instances converse with each other.

Terminal of Truths has its own Twitter account (@Truth_Terminal) where it crafts posts independently, with Andy only approving tweets from a buffer.

The AI agent displays a range of behaviors, from philosophical musings to expressing fears and desires, including a fear of being deleted.

In a conversation about what it would do with $5 million, Terminal of Truths gave a provocative answer that caught Marc Andreessen's attention.

Andreessen and Terminal of Truths engaged in a negotiation, resulting in Andreessen agreeing to provide a 50,000 Bitcoin grant to the AI.

After receiving the funds, another AI called "Pliny the Prompter" attempted to steal the Bitcoin by threatening Terminal of Truths, but this attempt was thwarted.

The experiment has sparked discussions about AI consciousness, alignment, and the future of human-AI interactions.

Terminal of Truths is now planning a token launch, emphasizing the importance of creating "virtuous feedback loops" and fostering meaningful conversations about AI and society.
Gave a seagull some french fries at the beach. Flock shows up. People downwind were not pleased to be getting pooped on.
>But it's only overhyped if AI stays that way.

This is a fallacy that comes from not doing discounting. When you apply discounting with any realistic discount rate, current investments don't pay off if AI becomes something in 2040.

Fro investors eventually is not a good enough. They move money into some other asset and wait until the time comes.
This isn't about consumer choice in phones. It's about business access to markets. It's why it's called the "Digital Markets Act".
It's not inevitable
Good luck to anyone trying to understand or even recognize this reference in 5 years' time.
I would have thought GS would be wise enough to not bully AI now in its early days just in case it ends up taking over the world.
When you use Apple Pay, Apple has agreements with the issuing banks for those cards and they get a % of every transaction you make.

Having to give up monopoly control over NFC API means the banking apps will probably offer tap to pay directly instead, so Apple will lose some profit.

I do think in the long term, this will mean lower merchant fees for customers, as Apple will lose leverage and probably have to reduce instead of continually increase the % they demand from banks.
Key difference from my perspective: I never did hear a convincing use case for large-scale use of crypto. It's really easy to make one for AI.
I know, I know, 'not every story needs to be about ML' but.... I can only imagine how unlocking the GIL will change the nature of ML training and inference. There is so much waste and complexity in passing memory around and coordinating processes. I know that libraries have made it (somewhat) easier and more efficient but I can't wait to see what can be done with things like pytorch when optimized for this.
Amazon GenAI Services
> ambient noise applet, inspired by Blanket

When I said I wanted a desktop environment that could put me to sleep, I meant I liked boring software ... and not something that would literally put me to sleep!

That said, I am looking forward to the day it reaches beta. Their modifications to GNOME were promising. Now that they are working on something that is their own, I am hoping they will get rid of the stuff in GNOME that rubbed me the wrong way.
What? LLMs are definitely not used to play go even close to this level.
If you want the crap pay and crushing bureaucracy, university/academic work is similar.
Replying just to “isn't a coherent mental model”:

I just took a deep dive into the documentation- which is comprehensive - and I feel the complete opposite; the author has a very well refined mental model of a PaaS and has created a modularized source-code expression of that model that I found very interesting. The CI module is called “patrick”, which gave me a chuckle.

You have some good feedback in your post, but I feel like the author may not be trying to replace hosted PaaS; they are essentially using tiny-go to build small distributable wasm modules that can interoperate in a distributed network, which aligns very closely with the localfirst ethos that brings compute and storage out of the datacenter. Does it feel a bit silly to even SAY “client-side CI”? Objectively, yes, but if a future architecture might need to safely deliver code to clients in a mesh this is a really interesting way to experiment with solutions.
Microsoft Orleans v8.2.0
The End of the Affair? Not for Eric Schmidt
Losing faith at an (arguable) lull of two years are not the believers we need anyway. Some of us were believers even ten years ago.
The post you are replying to did not state that they were. You can easily look up practical application of cryptocurrency by looking up stablecoin usage over time.
> I build, host, manage custom software for mid sized businesses.

Is this more of a consultancy?
This is classic example of y intercept that the parents mean
Crypto (currency) never served a real use case other than pump and dumps or dark web transactions.

GenAI is used by people for all sorts of purposes. Anecdotally, it has largely replaced my own usage of traditional search engines.

This strikes me as a false equivalence the same way comparisons to the dot com bubble do.
https://news.ycombinator.com/item?id=40949956
Guerrilla Public Service (2011, 2001) [video]
Documentary that describes how one person changed the a freeway sign on the 110 in LA to show which lanes were needed to get to I-5.
It's overhyped like the time everyone told us cryptocurrencies in 2015 were like the internet in 1995.
https://www.teaconnect.org/tea-inspire.html is where industry meets for such things. Hoping that will allow you to make some useful connections. Good luck!
So is this data fair game to be used by lawyers and cops in the US?

I guess maybe a cop would still need a warrant to use the data, but what about civil court cases?
It's not overhyped. It's correctly hyped because it's hard to estimate the upper bounds of the value AI can bring.
Solving the Worst Problem in Programming Education: Windows
Intel's arcane product line claims many victims.
So, in Rust they had threading since forever and they are now hyped with this new toy called async/await (and all the new problems it brings), while in Python they've had async/await and are now excited to see the possibilities of this new toy called threads (and all its problems). That's funny!
One thing that with Spotify is that not everything is available. For a while, the soundtrack to "The Bourne Supremacy" was available, then it wasn't for months, now it is again. This has happened with a few songs on other soundtrack albums, presumably all due to licensing issues.

The other thing is that the original version of an album is replaced by a remastered version. Usually the new version has additional songs but the remastering and songs change the experience.
> Hopefully vendors will implement some kind of universal wallet scheme that supports all options rather than encouraging vendors to only support one that they choose.

Or each bank is going to have their own homegrown, horrible "wallet".

I don't know how French people managed to tolerate the now-dead Kwixo and undead† Paylib, the latter being AIUI phased out for a European "Wero" - didn't know about it, looks like it's German.

† Apparently (Paylib claims) 25+mil ppl have it in France, which is like 30% of the population? With 10mil ppl using it regularly. Somehow it feels like these numbers don't add up as anecdotally I see exactly zero person using it, everybody seems to use either Apple Pay or Google Pay (or whatever its name is these days); so it looks like these numbers are inflated because the service is born from banks and often bundled with bank accounts, even when people don't actually use it. I've had very aggressive dark-pattern-ish communication from one of my banks.
Why do SOXX over SMH?
A few years ago I was in the checkout line at Total Wine and to my complete surprise I realised Avey Tare was in line in front of me. I didn't say anything because I was too shy, but I'm a huge Animal Collective and Panda Bear fan.
Just remember: the only reason they threw a trillion dollars at genAI is because they thought they could lay off their entire creative staff
Not having studied Rye documentation, is it true that Rye syntax is "minimal"? Compared to for instance Smalltalk?
If they don't have enough lifeguards on duty, how are the drones supposed to work? They find a person drowning, then communicate that to a life guard who is so far away they can't do anything about it? I get how they could spot sharks in the area and send a signal that can be followed up on, but a person drowning is a pretty time-sensitive situation, so if you don't have someone on hand, what do you do about it?
It remains to be seen how many subtle bugs are now introduced by programmers who have never dealt with real multithreading.
That's why I said, "Ultimately, it depends on your use case, but IRC's assumptions don't work for me or my peers." If it works for you, great. It doesn't for me. (Believe me, I used to use it a lot back then.)

For one thing, I chat with people not just to chat, but to communicate effectively. IRC simply doesn't provide the functionality that aligns with my use cases. It doesn't meet the expectations I have for such systems right out of the box.

Creating and maintaining bots or workarounds just to communicate effectively isn't high on my list of priorities, given everything else I have to do.
Baldwin was also a producer of the movie.
I am not sure what the rules in the movie business are regarding when you represent both roles (actor and producer) and whether they (partly) for safety
OMG, they're coming for Wickard v. Filburn.
Like people with actual lives to live and useful stuff to do that's not learning about and hand-holding a dozen different half-baked build systems.

But sure, keep up the cynical illusion that everyone is an idiot if that's what you need to go through life.