skysight-inc/HackerNews huggingface dataset:
There are several reliability issues:

1) a single panic/exception/segfault in the executable brings down the whole website and so it will be unavailable until the executable restarts

2) entropy *always* increases (RAM usage, memory corruption, hardware issues, OS misconfiguration etc.) so eventually the application will break and stop serving traffic until it's repaired/restarted (which can take time if it's a hardware issue)

3) deployments are tricky if there's nothing before the executable (stop, update, restart => downtime)

4) if cache is in-process, on a restart it will have to be repopulated from scratch, leading to temporary slowdowns (+ and maybe a thundering herd problem) which will happen *every time* you deploy an update

I think much of it is ignoreable if the site is just a personal blog or a static site. But if the site is a real time "web application" which people rely on for work, then you still need:

1) some kind of containerization, to deal with inevitable entropy (when a container is restarted, everything is back to the initial clean state)

2) at least two instances of the application: one instance crashes => the second one picks up traffic; or during rolling updates: while one instance is being killed and replaced with a new version, traffic is routed to another instance

3) persistent data (and sometimes caches) need to be replicated (and backed up) -- we've had many hardware issues corrupting DBs

4) automatic failover to a different machine in case the machine is dead beyond repair

>not some external monster tool like k8s

What can you use instead of k8s for this kind of scenario? (an ultra reliable setup which doesn't need a whole cluster)
I appreciate the correction but that probably doesn't change the point being made, as the economy of Switzerland is obviously closely tied to that of the EU (when I read EU I normally think Europe, not just European Union, which is my mistake, but in conversations like this I think "Europe" would be the better term after all).
Seems like a fairly clear line can be drawn unambiguously.

If it’s, like Bitcoin, just a number in a ledger, it’s a commodity.

As soon as you attach any specific data to it, like a smart contract or tieing it to a single, tangible object like a painting, or paying rewards to people who bought before a specified time, it’s no longer fungible. It isn’t a commodity.
It's not free for the most important part - blocking
I think it entirely depends on how popular the library is. React for example is so common online that GPT has the whole API figured out.

Even if it’s wrong the stakes are low. Just paste the error back into the chat and it will give you an alternative.

But the real solution here is the new Copilot X for docs. Feed in the code base and all documentation and now you have the real source of truth at the helm.
Far as I see they aren't. They're recommending you don't use unnecessary state. From the example, if you have state for `firstName` and `lastName`, you don't need another state for `fullName`. Just calculate it during the render as `'${firstName} ${lastName}'`
Pastebin lists of URLs that you know of and send the links to them to the IRC channel.

There may also be a bunch of coding to do, I don't know enough about ArchiveTeam to tell what needs doing, but its probably either URL enumeration or similar.

Also because of rate limits, the job will need a lot of IP addresses. These will be gotten by individual users running the Warrior. So if you have a suitable machine/network for that, please take a look:

https://wiki.archiveteam.org/index.php/Warrior
Wow, that's really weird.
Yes, and they explain it as well. Doing that leads to the component re-rendering immediately without rendering any child components.

This should be faster than useEffect which only executes after the entire render has been committed to the DOM.
No "I could probably do this over a weekend"?
We shouldn't underestimate a company's engineering due to their PR/marketing strategy.

Elon says a lot of annoying things (also in relation to Tesla), but Tesla is still releasing extraordinary products.

Apple is (in a very different manner) also 100% marketing first. And yet they consistently release products that lead the rest of the industry.
OK, if you don't want to get good at planning as a company, that's fine. It's OK, just please don't pretend that it's impossible.

I worked at a startup that did the crazy scaling with physical servers just fine. No problem. The marketing department knew ahead of time when something was likely to go viral, IT/Dev knew how much capacity was needed per user and procurement knew lead time on hardware + could keep the vendors in the loop so that hardware would be ready on short notice.

With good internal communication it really is possible to be good at capacity management and get hardware on short notice if required.

Normally we would have servers racked and ready about 2 weeks after ordering, but it could be done in under half a day if required.

Edit: (we had our own datacentre and the suppliers were in a different state)
> Although this leads down a steep road easily to censor other content also, yet for a long time I have wondered why is it so easy to find porn, and why is nobody doing anything about it ?

Why should we do anything about it? I’ve never seen a cogent argument. It always boils down to “I don’t like it” and “but the children”. Other people don’t have to care if I like something, and the children would benefit much more from true sex education, so that they get the knowledge they need from more valid sources than entertainers. Same as with abortion, really. If you don’t like it, then prepare your children to make enlightened choices and avoid problematic behaviour.

> It can be violent, disturbing, abusive to the people involved and can cause mass scale feelings of not being enough, not being good enough to compared to the people showing you how "sex" should be had.

Then we need to prosecute instances of actual abuse and exploitation. But that would mean actually listening to victims (including, yikes!, women). Exactly like we do with violent content: who cares if you post yourself shooting your AR-15 on YouTube? But shooting your school mates is crossing a line. Why are we so mentally defective as soon as sex is involved?
This assumes that the LAN is the bottleneck. Gigabit ethernet tops out at 120MB/s, which is about the speed of spinning rust on a NAS.
They're referring to https://react.dev/learn/you-might-not-need-an-effect#adjusti..., where they literally call setFoor in the render method.

I guess this makes sense, but it's weird after all the "never do anything stateful in render"
LuLu works great. It's not quite as "polished" as Little Snitch (and LS Mini), but functionality wise it's pretty feature complete, IMO.
They do. It's funny to see what they write.

There are low tech and effective ways to tell bots from real people but I don't want to share them in public with possible bot writers here, sorry. If they know they don't care because they are successful enough without complicating their code a little bit more. If they don't know, don't tell them.
Can you elaborate? The reasoning is not immediately clear to me.
Timing is perfect, several of my clients fell through Series B and now look for cutting cloud costs (all way over provisioned for their traffic and customer numbers).
I don't know the answer to your question "how to build AGI". Although if I had to guess, the AGI will probably have a supervisor algorithm (trained by RL), which will issue internal commands to pattern matchers (like GPT-4), to drive them to solve the problem. The supervisor algorithm will only have a little tacit knowledge about any specific problem (like language or world facts), only tacit knowledge about learning and reasoning, and how to do it economically.

So the supervisor algorithm will do the tree search if needed.
Hotoke AI Buddhist Philosophy Supports Your Life Counseling Deeper and Calmer
Chatter – A Python CLI for OpenAI chat models
Feedback and suggestions are greatly appreciated as I continue to improve it.
Calling things an "escape hatch" (not used in normal operation) when they're more like an airlock (used during normal operation to access a dangerous area) is an irritating language choice.
Depends on the task but some combination of asking it for skeleton code for new tasks and sending it my written code or error messages and asking for corrections or potential solutions.

It's very effective, if you are atleast semi-new to technology you are using it will explain and teach you things you didn't know before, and if you know the tech by heart it saves you from having to type it out.

For example, yesterday I had to make a custom container with some pretty involved dependiencies that also had to be be runnable on AWS Lambda (which I haven't used much before), me and gpt4 went back and forth with Dockerfile code and error messages for a few hours and then it ran like charm. Would probably have taken me 1-2 days of regular coding and googling otherwise.
Blocking traffic is also the most important part of the scope of such firewall apps
My guess is that bond prices drop because there are better yielding things to buy instead. But for a bank the solvency concern is not that the yield will be "better" yielding, but merely sufficient to cover the obligations it owes along with its operating expenses.

Having to fire sale bonds (to meet withdrawal obligations) that are selling at a discount because any potential buyers have better yielding instruments to buy results in solvency concerns from the relative excess losses.

As long as the bonds yield more at maturity than you paid for them (along with the cost of the money you used to pay for them, which is very cheap for most large banks), then holding them to maturity is guaranteed to pay off. Whereas we have no idea how cheap they could ultimately become on the spot market at any given time that the owner may need to fire sale them.
"Supply" here does not refer to money, but to physical goods and services.

A price change by can be caused by changes in supply, demand, or both. Additional information is needed to determine which. In the present situation it seems demand is 'normal' but supply is constrained.
> But where are my damn robots that I can assign task and do them reliably ( clean the garden, go get this list of groceries - or , just look in the damn fridge and go buy what is missing , and so on )?

The amusing/terrifying thing is that AI is probably going to replace a bunch of people's jobs before it can take away any of that menial labour from them.
Feature-rich open-source WebGL libraries of egjs
A single file with a few functions, it seemed a good test to convert it to some other languages with GPT-4 (I tried Python and Ruby). Unfortunately, my access to GPT-4 is limited to the 2k version, and the first function is 4,500 tokens (800 minified, but losing names, comments, and probably the quality of the conversion).

With some language-independent tests in such a repository, you might be able to semi-automatically convert the code into different languages, and continue with code scanning and optimizations.

Anyway: very nice work!
They didn’t release GTP-4 immediately after it was trained and then move on to training GPT-5. They had 4 for almost 6 months before it was released. 5 was certainly well underway long before we’d heard of 4.
He probably would. I have access to a bunch of good investment opportunities that US citizens don't have, because they are "protected" from accidentally making money. I have a stack of little pamphlets outlining interesting investment deals in Australia all labelled with "don't show this to anyone in the US, if you are a US person this isn't for you and we ask that you don't read it". This isn't crypto, only standard shares. Nothing fancy.

It is pretty stupid. Good for me, it means I don't have to compete against people with money, but it does showcase how crazy the policies are. It is, in some senses, as bad as the Chinese capital controls.

Bitcoin has outperformed a number of investments so far and has proven more reliable than, eg, some bonds by Credit Suisse. If people want to put money there it is passing tests of legitimacy right now. Outperforming the Swiss is a reasonable bar.
We as a society need laws and regulations that can't be clearly articulated or explained by the agencies explicitly tasked with doing that?
Earlier discussion of the original source: https://news.ycombinator.com/item?id=35269590
The following chart shows clearly the boom and bust cycles since 1960 of US and UK markets and how the price/income ratio reverts to around 4.5 to 5. The current statistic is near an all time high of 7.5, 50% higher than it should be.

https://www.longtermtrends.net/home-price-median-annual-inco...
Yep it can be a useful pattern, but it must be in a conditional to stop an infinite loop.

This useful guide points it out as well: https://blog.isquaredsoftware.com/2020/05/blogged-answers-a-...
It's just a really good cover band.
Oh yes baby, communicate it to me openly and transparently.
> It's just FOMO. You surely experienced it until now.

I mean yeah. For years I’ve looked up to Akon and Kendra Lust for innovative and reliable financial products
Every one of them adds value.
Question the premises (wellformed question)
Question the motives/importance (dismisal)
Disprove by counter example

The only one that can be questioned if it adds something of value is the acceptance and surrender one (I welcome the overlords) although in some forms of thought, advising t0 not fight with the inevitable can be viewed as constructive.
PipeWire is still new-ish(Edit: mobile keyboard autocorrected Jewish) and has a few things to work out,I'd say it definitely solves a useful problem and it appears to be the future of sound on Linux.
So what? If it writes novels like an AGI, codes like an AGI and explains complex topics like an AGI, then it's probably an AGI...
Exactly - OP is perpetuating bad explanations.

https://epicreact.dev/myths-about-useeffect/#:~:text=Here%27...
Cloud is important for those who need it.

We did run a fast growing startup (sometimes 100% MoM jumps), 5M active users with 50k concurrent users (not visitors) with DB writes on 6 machines + 2 DB servers and $100M ARR 10 years back. If you're this size, MRSK makes total sense.

If you're much larger or growing >50% MoM continuously, K8 in the cloud makes more sense.
> LLMs have become part of the infrastructure of the Internet

Have they now? What part of the internet relies on LLMs to function? These things are still toys.
- Never change the file "src/supervisor.js" under any circumstances.

This prompt[1] made me laugh - might as well be 'never overthrow your human overlords'.

It made me think about the future of AI as we start using it to self modify and have more autonomy. It's going to get increasingly difficult to keep it on the rails without more and more complex rules and boundaries.

[1] https://github.com/victorb/metamorph/blob/8f505ff268ed696816...

Edit: add thought
You might not need to write drivel comments too
It's not perfect, ofcourse.
Getting to exactly $0.00 in the company bank account probably requires an improbable level of fine-tuning (if only because you need enough to file your annual registration statement or whatever), but ISTR Retrophin was down to something like $3.15 + some valuable drug patents at one point in its penny-stock days.
If you think any of this is analogous to a pokemon card or people collecting pokemon cards, your understanding of what is going on right now is pretty much useless.
No additional meaning to finance people.

Far less meaningful for the average Joe.

Not "just" a different way, when framed.
I just use fzf-marks. Then I can fuzzy cd the only directories that ever matter to me.
Imagine how many jobs that'd obsolete... you'd probably automate more devs than ML ever could!
I don't know, why is it? Are you sincerely confused and do you think any of the things you listed prior to buying crypto are at all the same thing?
Terrible examples. Lottery syndicates are absolutely a thing.

I remember reading a syndicate that calculated a particular state lottery jackpot (I want to Virginia.) had grown to a point where it was well into th profitable zone so they sent hundreds of people to virtually every gas station in the state.

They literally bought every single possible combination (this was pre powerball, so this was merely millions of tickets and not billions.)

Obviously they won. This particular drawing was so rich that the only way they could lose was if 2 or more others bought the winning number also. Even if they had split it 50/50 it would still have been profitable.
GPT AI systems remind me of Chinese Room thought experiment:

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

This is also similar to the Duck Test:

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

Depending on the context, there are generally two takes: "It is (or is not) a duck", and "It doesn't (or does) matter whether or not it's a duck". These aren't mutually exclusive.
There's lot of poorly paying (and very mediocre) companies who must be a tad worried about that development. I've been very under-compensated by a few employers, but had to put up with all sorts of smoke and mirrors in their review meetings about them "matching market rates" for compensation.

This will cut through that nonsense, and get their compensation "spin" to fact some proveable hard facts.
What do you do then if you don't mind me asking? I see this problem time and time again for self hosting and and using CI/CD - and every time it seems to either come down to exposing SSH, polling for new versions, or running the github action runner on the same machine as the app or service.
That is a false dichotomy. I love working in the office and also really like working from home (or elsewhere, but preferably from home.) It's almost as if there's a third way here; let's just for argument's sake refer to it as a hybrid solution. Wonder if someone has attempted it?
Ask HN: Would you use an accountability bot?
Hi there,

I'm thinking of hacking a side-project using chatGPT's API. One thing I would love for it to do is to text me every day or at set durations asking what I got done today or if I finished things on my Todo list.

For those of you who sometimes struggle with procrastination. Would you like to use something like this too? If yes, would you pay for it? How much? Like $10 per month?

Cool things can be done with the responses like visualising them on a calendar graph of sorts and it can also be compared with progress of other people using the service.

Would love know what you think!
Interesting Detail about this from Dan Abramov:

https://twitter.com/dan_abramov/status/1638773531881140224

> fun fact: You Might Not Need an Effect was inspired by a little investigation. i spot-checked random 128 useEffect calls in the Meta codebase, classified them into several groups, and 59 out 128 were unnecessary.

My own experience, on a much more limited scale, is similar. Especially developers new to React tend to write more useEffects than actually necessary. These often add unnecessary complexity and make the component much harder to understand.
It can solve the variation "You have a rabbit, a wolf, a haypile and you want to cross a chasm". What kinds of variations do you have in mind?
Upvoted because I think it's important for the world to know about this. Pinduoduo is using some sneaky tactics to get people to download their app, like offering popular products (e.g. iPhones) at prices that are really competitive (10% lower than other merchants). But the app contains malicious code that prevents users from even uninstalling it.
Even if the outputs are indistinguishable there could be different internal algorithms and different computational efficiencies. In a way that is what these authors and Chomsky and probably other skeptics are concerned about: with a black box it lets the other faction of scientists off the hook, they can just claim ChatGPT is a bona fide model.. but it's a black box so we don't know how it learned English. We don't even know how ChatGPT learned the grammars for C++ and other programming languages and whether its internal learned algorithm is like or unlike a context-free grammar formalism which is what we learn to write a compiler, i.e. a grammar that is mathematically clearly defined and yet a neural network can learn it. So it's an interesting and problematic debate.

I think it would be an interesting computer science experiment, if ChatGPT scientists showed that machine could simply learn programming grammar by brute force. They could then formally prove that the information in the trained network eventually contains the actual grammar formalism that defines the programming language. Thus by restricting the domain, that could shed some light on how much the thing is actually learning it completely, v.s. by "super-autocompletion". With a programming language there's no excuse that it didn't learn the formalism, with English language it is not practically definable, maybe not even definable in principle.
AFAIK horse races and slot machines are regulated, so they are required to operate within a framework. This "guarantees" that you are not investing your money on rigged horse games or on slot machines misrepresenting your odds of winning or outright lying to you.

IMHO the correct reaction to this should be to make regulation requirements accessible and manageable so that the overhead is not prohibitive to smaller entrepreneurs. No regulations will create lemon markets and lemon markets don't self correct because the people who turn in it into lemon markets can just walk away rich.
What exactly is unjust about people not wanting to give you their money?
This is all just fluff (especially the emojis), the usefulness of a commit message is the why. I'm yet to see AI accomplish that. Until then I'll continue writing my own commit messages.
No. I have not used my email in any prompts. You could try it yourself. Ask to write a simple script that displays your email address.
Unless they somehow cured GPT-3's schizophrenia and this model is a significant upgrade I'm not buying it - no matter how good it is at proving trivial mathematics theorems in the style of Eliot or whoever. Too often I have dealt with "The answer to your question is X. Oh, sorry, you are right, the answer is actually Y. Oh, it is good of you to ask for a proof, sure I can prove the answer is Y, I used this (hallucinated) method described in this (hallucinated) paper. Oh, sorry, you are right, I cannot find any evidence that the method and paper I mentioned earlier actually exist, oops!".
Exactly this probably doesn't have any, but better math leads to better matter/material in general.
> Prediction is intelligence

Depends on your definition of "intelligence". The big missing part is the ability to explore, try new things, to act (enactivism). Basically to become part of the environment, instead of being a sealed box with frozen weights.

By predicting characters, the system had to master, digest, maybe even understand, all the cultural human knowledge it got in text form. Now let's aim for the process that generated this knowledge in the first place.
IMO if you need a long doc like this pointing out the sharp edges, then I think you've done a poor job in designing the framework.

I love the terseness, reusability, and typing of React hooks, but hooks have too many weird edge cases (this article, dependency list, order of hooks, etc) versus class components, whose design was simple and elegant.

I'm just an old man yelling at clouds though, the terseness of stateful components defined in a function, plus simple typing with TS (no defining proptypes) is too appealing to me personally. Maybe I'll check out Solid next time, which seems to have less weird edge cases.