skysight-inc/HackerNews huggingface dataset:
One of the single best design decisions that AWS makes is to isolate each region as much as possible so that truly global outages are nearly impossible.
Interest Is the Price of Time (Book Review)
> Rust, Zig, Julia, Kotlin, and dozens smaller "new" languages fail to bear a smear of originality in them.

To be fair, most programming languages don't try to be original. They try to solve problems. They also try to keep syntax close enough to other established programming treds so people have an easier time learning them.
Thanks for phrasing it better, yes my point is there is no social iteration past singularity level AGI.
Yes; the idea is that the startup wants control for who will be on the cap table, so they don't hassle with written requests for info etcetera. Minority shareholders (especially for California businesses) have a fair number of information rights, and so companies tread cautiously in terms of who they allow to invest. This is in part why special purposes vehicles exist so that there's a point of contact for investment. (And then the company doesn't have to vet people that invest in that syndication as much...)
Sure, but in this case, the co-author of one of the 21st century's most consequential banking regulations was placed in a leadership role at a bank that ended up failing.
>Yes, this is a neural net model, that is what such models do and have done for decades already. I'm not sure why this is relevant. Do you argue that stable diffusion is intelligent since it has emergent structures? Or an image recognition system is intelligent since it has emergent structures? Those are the same things.

No I am saying there are models for intelligence within the neural net that is explicitly different from a stochastic parrot for english vocabulary. For example in one instance they identified a structure in an LLM that logically models the rules and strategy for an actual board game.

Obviously I'm not referring to papers on plain old "neural networks" that shit is old news. I'm referring to new research on LLMs. Again I can provide you with papers provided you want evidence that will flip your stubborn viewpoint on this. It just depends on if your bias is flexible enough to accept such a sudden deconstruction of your own stance.
I feel that this is one of the biggest advantages AWS has over Azure. AWS has never had truly global outages the way that Azure has had with Azure AD
This is like saying all computers are state machines because they have finite amounts of memory and disk space. It's sort of true, but it's not a useful mathematical model.

With a Markov chain, you're assuming a state machine where each state has independent probabilities on outgoing edges. As the number of states gets larger, you have fewer training samples for each state. When n gets large enough, nearly all states have zero training samples; they've never been seen before. How do you estimate probabilities?

Better to just say it's a stateless function of the input.
"But let’s talk about today’s “frontier” of jobs that haven’t been “automated away”. There’s one category that in many ways seems surprising to still be “with us”: jobs that involve lots of mechanical manipulation, like construction, fulfillment, food preparation, etc. But there’s a missing piece of technology here: there isn’t yet good general-purpose robotics (as there is general-purpose computing), and we humans still have the edge in dexterity, mechanical adaptability, etc. But I’m quite sure that in time—and perhaps quite suddenly—the necessary technology will be developed (and, yes, I have ideas about how to do it). And this will mean that most of today’s “mechanical manipulation” jobs will be “automated away”—and won’t need people to do them."
I like it a lot.

Do these characters make sense as a Chinese phrase as well?

Chū zhì guàn chè ?
This all seems very personal to an outside observer and I do hope you’re feeling okay about humanity in general. I imagine like most models, GPT could (somehow) structurally become too burdensome, because of some future breakthrough. That stuff happens all the time. Also, I could be wrong. Doesn’t seem responsible to attempt to predict the future this way..
I have done that but it tends to actually omit some facts as well. This convo is after I asked it to stop adding disclaimers as you can see. I take it as just a quirk of a colleague and don’t mind it at this point lol.
Also the space for the native thread stack ("C stack") is just allocated virtual memory (at least on *ix), not physical memory. When the program starts to touch stack pages, on first touch the user code will trap to the OS where the vm system will transparently fill in the needed physical pages as the usage grows.

Virtual threads don't seem like a worthwhile complexity tradeoff unless you're trying to run lots of threads in 32-bit address space. I wonder if this got started in that era and just took time to mature.
Note of course that these are the terms of a settlement, and I don't think this has any legal implications on digital licensing and identity management.
To be fair, sometimes prompt engineering works with interns as well. But in that context we call it "social skills".
Zed raises $10M for a code editor built for collaboration
They're CodeQL warnings. On GitHub. They don't happen during development. Nothing is telling you to have to have Warnings dialed up to 11 when coding.

But at least have the courtesy to run them on your draft PR (if manual runs are needed) or make them part of the build process.

Warnings are there because many people got bit in the rear by them. Warnings tell you places where you're not explicit.

Explicitness is good.

But when and where you go through the warnings is up to you. As long as you do it before other people review the code.
The first theory reminds me of Sarumpaet rules from Schild’s Ladder.
How would the original Dodd-Frank legislation have stopped Frank's own bank from failing? Or is it the case that there are always inherent risks in banking and that no legislation is sufficient to prevent all failures? Perhaps even, sometimes legislation has unintended side effects that lead to adaptive behavior in the market which then causes a shift in risk patterns that then ultimately causes a different, altogether unforeseen disaster?
Thanks mate, that feedback is really valuable. We definitely need to sharpen our message and guidance there quite a bit. In a nutshell, Scriptable allows you to provide your users with a code escape hatch, for everything your product doesn't support natively yet. For Shopify this might be a function that calculates a custom discount (https://shopify.dev/docs/apps/discounts/experience), while for something like Framer (see example here: https://www.framer.com/learn/how-to-work-with-real-dynamic-d...) it might be to integrate and fetch data from a 3rd party API. There are countless other examples (Auth0 for instance), which provide something similar to their users to bridge gaps. We also use it within our own product to build some custom components, like providing restricted access to a Tesla, Alarm System, Philips Hue System, etc. Here are two examples of that: https://www.youtube.com/watch?v=JG1ApkFQ5xU .. https://www.youtube.com/watch?v=H6Lf-n3WYh8

Apologies again for doing a poorly job of getting the message across. We're currently working on revamping our landing page, docs and general onboarding story.
Wow, part of Delaware’s tax website was hanging on unpkg today, now I know why!
Doesn't pip (with wheels) solve this all just fine? Or I'm missing something?
One that's not on there that's excellent for generating whole worlds: Azgaar's Fantasy Map Generator:
https://azgaar.github.io/Fantasy-Map-Generator/
Apologies for that. Please see my other comment for a bit more context and examples.
I still don’t get why service, actor and rpc must be language keywords, when they aren’t semantically bound to a remote provider’s signatures. Why there’s actor needed at all? Rpc in place of async? If you have an rpc protocol implemented under `rpc`, why not just make an interface named PersonService and specialize a connection with it? It doesn’t actually make any sense.
Yeah I think the question is "great for who". I think it could be great for the founders (who can achieve liquidity in a variety of ways at any point really, that regular employees don't have access to. I'm not critical of this -- makes sense to me -- just pointing that out.)

It wasn't so good for employees who would've wanted to sell and diversify when the valuation was, conservatively, about 2x what it is now. And maybe even 2.5x plus if you extrapolate what Stripe could've been worth at the height of the market.

For the long term company, it still could be a good, because if they can raise capital privately like they were just able to do, then they get the upside of access to money without the downside of share price fluctuations, scrutiny, more bureaucracy etcetera.
Yet, diet and environment have a huge impact on hips.

Also, OFA’s ratings are crap
So long as we are talking about wages Only, I’m ok with this.
> Epic feared that adding a confirmation button would add “friction,” “result in a decent number of people second guessing their purchase,” and reduce the number of “impulse purchases.”

yeah, it would have absolutely done that.
If you buy a game directly from the publisher you don't get a discount for that 30% cut on Steam. For publishers with over $50 million in sales, they take 20%. But it costs the same price to buy Assassin's Creed on Steam as it does on the Ubisoft store.
I rarely buy coffee at a shop and make at home. Even at the shop, I'm the person who gets drip coffee, black.

The fact that they have a big pot tells me there are others who get drip coffee.
I'm not sure I can support the idea that the agent doesn't have the ability to reason -- try to give it any complex (text-based) puzzle you can think of and it'll do just about as well as an average person, oftentimes much better.

And I think you may be wrong to say the chatbot doesn't have intentions -- it's intentions based on its training are to accurately predict the next character. It doesn't care in the same way we do, sure -- but you could make a case (and it will be made in courts in the next few years, I don't doubt) that these agents do have desires that are analogous to our own, by the nature of their training process.

I don't know where that leaves us to be honest, but it's an interesting topic to discuss.
So you think we have free time all the time because we have automated 90% of agriculture?

People will just find something else to do that automation is not very good at.
There are a lot of not-wealthy employees who got paid today who disagree with your assessment of who won.
Add to my list (because it's subjective): they look really ugly.
True, he supported it overall but...

> Problems with the bill, Frank said, include the amount at which a bank is considered risky and subject to harsher oversight. The new bill increases the threshold five times, from $50 billion to $250 billion.

> “Fifty [billion dollars] was wrong,” Frank said. “It was too low. … But I think above 125 [billion dollars] was a mistake.”

https://www.cnbc.com/2018/03/16/bill-to-rewrite-dodd-frank-b...
I wasn't talking about nukes in using them, I'm talking about nukes in that once it was known to be possible/useful everyone with the means did it.
Don't see how there's no connection. If they can ban Kinder Eggs for "food safety" concerns then they can ban TikTok for "spying" concerns. The fact that it's software doesn't and shouldn't make it exempt. Why would it?
Interesting, thanks!. I see this as falling into the bucket of taking unstructured data/thoughts and mapping it well to structured/articulated data that is already out there. LLMs do excel at this and keep getting better fast (minus the hallucination, but that is easy to cross check). Would love to see examples of truly novel thesis generations that are verifiably plausible, which aren't a remix of what came earlier...
I think this is the best use case of ChatGPT, as a first level search engine to surface out any potentially relevant information. But I would be careful using it on a subject I'm not familiar with or relying on its content directly. When I query knowledgeable areas I've found it be wildly off on many facts, I shudder to think how someone outside the area would interpret its content.
There was absolutely zero technobabble in that persons comment. Perhaps you need to ask yourself how well you understand the space
I suspect the future will involve AI performing its own research with the ability to take measurements and make observations.

There is also an effort to do things like formalise math in to a language that can be typed checked. Then you ask the AI to prove a statement is true using the language. As soon as it type checks, you know you have a valid proof. Some new data was just created.
>> Indentation-based scoping, similar to Python.

Proceeds to add brace-scopes :-|.

The breathlessness of these "ChatGPT N does X" posts is annoying. I know it's an instance of the usual hype cycle which has been going on for a while "Doing X, but with (hyped tech) Y" where X ∈ [Todo app, DB, shell, CLI took, ...], Y ∈ [Go, Rust, ChatGPT n]
I suppose I think a bit differently. I don't know the typical pressure inside a steam engine. However, I do know what one bar, or one pascal means.

I can also guess what ninety atmospheres entails in terms of engineering, because I know that's the pressure at about 900 m water depth (by virtue of the SI units, which are based off water: P = hρg), which few submarines can even reach.

The same thing goes for 'as long as/as big as xxx football fields': which one? American or association? I know what a square metre is, I know what a square kilometre is, just use the damn units.

I really think pop-sci and science education should emphasise standard units (read: SI, not USC) and being able to estimate orders of magnitude.
>Pointing out the failures of their favorite LLM to prove to them that it's not doing what they think it's doing just falls on deaf ears

It's not falling on deaf ears. It's because it's stupidity to think the "failures" are proof.

Should I point out all the failures in human intelligence? Humans fuck up all the time. Humans make stupid mistakes, assumptions, biases, errors in reasoning and leaps in logic all the time.

According to your logic that's proof that humans don't understand anything.
I think the choice could be made a few different ways for sure.

The interesting thing about the rpc object, that it didn't explore in this instance explicitly (but I must assume it had "plans" for if you want to call it that?) was things that you may be allowed to do with the rpc object that you couldn't with classes, and vice versa.

When I have a minute, I'll feed it your question, and see what it says
The bigger problem in the US is that dog owners are in general less educated about the relevant topics than in some other countries (like Germany). They will usually prefer to go to a breeder rather than adopt, and in terms of breeders they prefer cheap prices over other qualities of the breeder. I recently learned "Amish Puppy Mills" are a thing...

In Germany, people will usually go to a shelter first. But there are usually no dogs in a shelter suitable for the average dog owner (no extreme medical or behavioral problems, not too big, and "fighting" breeds can be a regulatory hassle). It's gotten so bad the shelters are screening applicants like job seekers. It's gotten so bad we import tens of thousands of "street dogs" from the mediterranean and Eastern Europe. Yes, also with plenty scammers. It got worse during the Covid years. And now all the "unsuitable" dogs get dumped in a shelter again.
Link the papers.
2025. Thanks we will let you know.
Are you referring to ChatGPT Plus?
Here’s the thing: I don’t care if the thing can make programming languages, I care as much as anyone here telling me they can probably demonstrate their programming language. How is that going to help? Or is it all about meeting and beating critics at this point?
I agree with you - I edited my comment above - if defensive capabilities allow multiple AGIs to develop I have no clue what the outcome would be - we are talking about predicting superhuman intelligence here.
Stripe made the right move here. Going public is a huge move. You don't want to make a big decision like this because early employees couldn't have cashed out.

There are lots of other considerations that come along with an IPO and Stripe is addressing the core problem (early employee liquidity) with a targeted solution.

(And yes -- they would've been better off doing two years ago. But timing is hard, and that's not really relevant to their decision now, which is the best at the current time given the past.)
Lovely maybe. Smart less so. Certainly not healthy. And being "energetic" is a problem when your legs are short and deformed, your spine and vertebrae are deformed and you can hardly get enough air to run for longer distance.
If I have to spend 15 minutes writing a prompt and then another 10 making sure there's no bugs in the output, I might as well write the code myself. I only use it for menial tasks, not advanced ones.

Anyway don't really understand your tone/reference to an intern?
Ask HN: Is SaaS DRM?
I remember as a teen being terrified for a while about getting into software, despite my inclination towards it, because I believed the idea of free and open source software meant that, eventually, there would be no long term advantage to working in this industry. If everyone can install and run your program locally, why would anyone pay you for it? On the other hand, if you didn't make your program open source, how do you get around the problem of people cracking and distributing it for free?

Many years later I've finally started to enter the software industry after all. About a week ago the thought "SaaS is just DRM done right" floated through my brain, and the more I think about it, the more true it feels. Code running on someone else's secured server, with someone else's data and APIs and integrations, and requiring modern authentication-authorization loops, just feels miles harder to crack compared to some Proprietary.exe asking for a license key.

The analogy is very loose but it feels accurate in an economic sense to me. What do you think?
There are a lot of cases where a small minority is heavily invested in a topic at the individual level, while the majority (who have an opposing view) are not. The small minority has the incentive, the energy, and the time to keep fighting for their narrative, while nobody in the majority makes the same effort as none of them individually have as much skin in the game. This dynamic plays out all the time on Wikipedia.
It does have the awkward missing element of no round-walled rooms, though.
Having to disclose detailed numbers probably.
I bought a cheap brother color laser printer a few years ago and it has been fine. It was less than $200.

If you need to print photos, that’s a whole other thing.
I won't imply any opinions here, because this is far outside my realm of knowledge, but I will say that a sample size of 1 isn't too good.
Foundry VTT is excellent, but it's also not a map creator, so it really doesn't fit the article. Same with Roll20.
Absolutely. We've been great at building AI in software, but hardware is still absolutely lacking. Robots are nowhere near usable for even simple tasks, at least if they don't follow the same pattern each time. Just look at households, there's still no robot that can empty a dishwasher reliably (unless maybe you build a specialized one for just that task), while it's a task much simpler than what GPT-4 can perform on the software side.
Yeah I debated posting this but thought it was an interesting meta-commentary on the usefulness (or relevance) of Wolfram's core points.

For the record, I do not believe that Chat GPT is capable of abstract or critical thought.
Why So Many Can't Accept the Post-Pandemic Return to Normal
I think the difference is that LLMs are essentially just stochastic parrots (SP) Humans are stochastic parrots and more. In some ways the SP behavior of LLMs already far outstrips the SP abilities of humans. And there are some leaps that humans' SP ablities will be hard to mimic. But at the end of the day, a human is still more than just an LLM. What exactly, we'll be debating that til the end of time likely. We know that an LLM can probably give us a pretty condensed summary of mankinds philosophical wranglings on the subject. :D
Much though I loved the original man from U.N.C.L.E. they didn't actually have access to significantly better electric typewriters than the rest of us. Ritchie and his professional typists used commodity typing machines, with the interchange of fonts, and mechanical positioning capability of the best of breed in market at the time.

If you needed to forge russian or german papers, you used second hand russian typewriters. They were available. the NSA didn't have magic 1200dpi+ printing any more than anyone else did in the time of phototypesetting: the magic here was how good the lenses and film were. Type foundries did the best they could with large images and then reduced them onto film.

Scientific papers right up to the 1980s accepted hand drawn images: I know because I submitted some, for state-event flow diagrams on an OSI protocol implementation. They published my hand drawn circles and lines.
No It was a passing comment. I really think that LLM's will make certain aspects of work very nice, like a really good version of intellisense that writes you're whole api for you.

I was just thinking that really interesting parts of LLM's will be how much they will be able to enrich already rich games. Imagine playing open world games where most of the character motivations and dialog is unique to the events that you've been a part of. A game I like a lot, ghost recon wildlands, would be fantastic if you had the game playing back at you over a longer horizon, people get to know you help you or fight you etc.

As for my day job. It's not going away because of LLM's. They can't fix office politics yet.
"I asked an algorithm how to make money and it gave me a common answer from the financial blogs it scrapes". Not very interesting.
> Android device where the vendor chose to ship some brand-specific UI font

Chrome (and Android Webkit) hardcodes Roboto as the system-ui font (in such a way that both Samsung and Xiaomi devices (which both have font options) cannot touch), and Firefox brings its own font rendering which also hardcodes Roboto.

If the system-ui font of Linux is set to a silly one (according to your opinion), then the user-in-question would realise that they are the one who picked that font that you called silly, in other words they don't care about your opinion at all.
https://github.com/features/copilot subtitle

> GitHub Copilot uses the OpenAI Codex to suggest code and entire functions in real-time, right from your editor.

(not sure if it's 4 or 3 tho)
Except the fact that it does both. It commits mistakes AND it also comes up with remarkable, novel output that makes sense. Perhaps you just haven't seen an example of it that's convincing enough.

https://www.engraved.blog/building-a-virtual-machine-inside/

Here's another one.
Yes that's one possibility. Furthermore, there are ways to make money that are not usurious.
Pitbulls are in general healthier than French Bulldogs, they certainly have a better anatomical configuration. They can be socialized to be excellent companions.

I've heard a famous German dog expert recommend them for children, because they let children do virtually anything to them without getting pissed. Just make sure you get one that is socialized properly or when a puppy, that you socialize and train him properly and with enough effort.
Thanks for pointing out Unison -- I'm definitely going to check it out.

There is another language in this space I've had my eye on as well, but I can't recall the name at the moment.