timeattack

You don't get it because for you destination is more important than the journey. And it is fine. Probably.

For me and (likely) for OP as well it is the opposite. Result is meaningless without the process. I can't take fruits of my labor (whichever labor it can be) to the grave, and if you remove the process of growing and picking said fruits, then where is "you" in that? Did you really "achieved" anything? Or whatever you wished for just magically appeared in front of you with little effort from your side?

Where is the fun of renting a helicopter that would carefully put you onto mountain's summit and pick you up 5 minutes later?

Of course it is an encrypted messaging. But it is safe as long as root certificates are not being imposed to be issued by government agencies only. Which is very easy to mandate in a totalitarian government. Want your website to serve customers in our jurisdiction? Then you ought to use certificate issued by us.

Well is so beyond poisoned that it is the groundwater which tastes like toxic waste now, no matter where you will try to dig up your own well.

Transport layer that used to be clean as mountain air now full of hungry eyes peeking at you through the nether.

Russia followed China's playbook and inserted black traffic-filtering boxes, which particularly dislike anything that looks like encrypted messaging. EU and rest of "developed" world is eager to have the same.

Listen on port 1492 for the signs of civilization collapse, listen to the sounds of silence.

A famous monk, who maintained empty website to make a point about Zen, wakes up in the middle of the night because LLM crawler had broken in past captcha -- except the crawler couldn't find anything of value on his website. So the monk listened to the futile rummaging sounds of HDD's head for a while, and feeling bad for the crawler's company, put his lifetime worth of manuscripts on the website. The crawler was so surprised by the kindness of the monk that it started to crawl his website 100 per second, DDoSing it out of existence.

My problem with LLMs (apart from philosophical aspects and economical impact) is that it would be unlikely for any of us to be able to train something functional locally (toy-like LLMs -- sure, but something really useful -- no). Apart from that it requires immense computing power, it also requires a dataset which is for the most part is obtained illegally.

Okay, teach me how, then? I would also like to work 3× less and make 3× more.

I agree with you and have similar thoughts (maybe, unfortunately for me). I personally know people who outsource not just their work, but also their life to LLMs, and reading their exciting comments makes me feel a mix of cringe, fomo and dread. But what is the engame for me and you likes, when we finally would be evicted from our own craft? Stash money while we still can, watching 'world crash and burn', and then go and try to ascend in some other, not yet automated craft?

While I agree with your whole take, there is one point that triggered me.

What most¹ people don't get when they say "just learn to deal with your emotions" is that some of us "feel" emotions way more strongly than others. For me personally emotions are pain, far more stronger than actual physical pain is. Both unpleasant ones and pleasant ones. While I've learned to "deal" with it as I grew older, it's not a walk in a park, cost me solid chunk of my mental energy and that's what I need to do every fucking day.

Most people would say "but hey, that's what makes life worth living!". Not for me, I would rather prefer not to feel anything at all than to be subjected to a constant never-ending roller-coaster I can't get off² from. If walking past sick stray animal would maybe cause you³ a slight discomfort, for me would be excruciating feeling in my chest which I can either suppress (and live with the choice for the rest of my life) or drop whatever I was doing to try to help (and to subject myself to more pain in the process). There is no win for me here.

And yes, I've tried many-many things under the Sun, the truth is that I was just born this way. And I'm not alone like that. So telling to "just deal" with emotions is not helpful.

___

¹⁾ I'm not saying you don't, just bear with me for a moment.

²⁾ In both senses.

³⁾ Not you specifically.

Where to find a wife like that though? :D

Now, this painter works for your house exclusively every day 40 to 60 hours each week total, 2-5 years, and because of their work you sell house for 1,000x of the original price. You now go to live luxury life without need to ever work again, while painter continue their meager life painting another house 8 hours every day.

Advances in generative AI are making me progressively more and more depressive.

Creativity is taken from us at exponential rate. And I don't buy argument from people who are saying they are excited to live in this age. I can get that if that technology stopped at current state and remained to be just tools for our creative endeavours, but it doesn't seem to be an endgame here. Instead it aims to be a complete replacement.

Granted, you can say "you still can play musical instruments/paint pictures/etc for yourself", but I don't think there was ever a period of time where creative works were just created for sake of itself rather for sharing it with others at masse.

So what is final state here for us? Return to menial not-yet-automated work? And when this would be eventually automated, what's left? Plug our brains to personalized autogenerated worlds that are tailored to trigger related neuronal circuitry for producing ever increasing dopamine levels and finally burn our brains out (which is arguably already happening with tiktok-style leasure)? And how you are supposed to pay for that, if all work is automated? How economics of that is supposed to work?

Looks like a pretty decent explanation of Fermi paradox. No-one would know how technology works, there are no easily available resources left to make use of simpler tech and planet is littered to the point of no return.

How to even find the value in living given all of that?

You assume I'm in US, while I'm not. Not even EU. I know building owner personally and the only factual way is to evict those people. The only problem is that building owner is leasing them an apartment, and you can't evict people basing on household noises, even if they are driving me insane.

Any advice on how to eliminate noisy neighbours that would randomly drop their shit at random intervals in the middle of night and let their child to stomp around every late evening?

GenAI should not exist, all development of it should be ceased immediately. Freed time, resources and brainpower should be invested into development of precision tools which do not require boilerplate to be produced at scale.

1. Digital tickets are purchased via mobile-friendly site or app.

2. Tickets are verified at entrance via time-sensitive QR code displayed in the app.

3. You can "resell"/transfer a ticket to another account (say, friend) via app for a small nominal fee with the cost of ticket refunded to you, but only if you provide ID (of any sort, which can be more or less reliably confirmed).

4. Ticket can be printed to obtain non-time-sensitive QR code, but only if you provide ID.

I highly doubt that Russia is capable or willing to get into a fullscale war with EU. It's more than 3 years into war with Ukraine without any meaningful result, but repercussions for Russia, while not fatal, still significant. There was very limited military aid for Ukraine, yet Ukranian UAVs explode in Moscow and regions almost every day. Also there's a gas pipe from Russia to EU amidst the conflict which both sides afraid to even touch. Also EU has nuclear.

That part I understand and it is quite easy to imagine, but that mental model means that novel data, not present in dataset in a semantical sense, can not be mapped to any exact point in that latent space except to just random one, because quite literally this point does not exist in that space, so no clever statistical sampling would be able to produce it from other points. Surely, we can include hex-encoded knowledge base into dataset, increase dimensionality, then include double-hex encoding and so on, but it would be enough to do (n+1) hex encoding and model would fail. Sorry that I repeat that hex-encoding example, you can substitute it with any other example. However, it seems that our minds do not have any built-in limit on indirection (rather than time & space).

What I'm trying to say (which deviates from the initial question I've asked), is that biological brains (not just humans, plenty of animals as well) are able to not only use "random things" (whether they are physical or just in mind) as tools, but also use those tools to produce better tools.

Like, say, `vim` is a complex and polished tool. I routinely use it to solve various problems. Even if I would give LLM full keyboard & screen access, would be able to solve those problems for me? I don't think so. There is something missing here. You can say, see, there are various `tools` API-level integrations and such, but is there any real demonstration of "intelligent" use of those tools by AI? No, because it would be the AGI. Look, I'm not saying that AI would never be able to do that or that "we" are somehow special.

You, even if given something as crude as `ed` from '73 and assembler, would be able to write an OS, given time. LLMs can't even figure out `diff` format properly using so much time and energy that none of us would ever have.

You can also say, that brains do some kind of biological level RL driven by utility function `survive_and_reproduce_score(state)`, and it might be true. However given that we as humankind at current stage do not needed to excert great effort to survive and reproduce, at least in Western world, some of us still invent and build new tools. So _something_ is missing here. Question is what.

I don't think we _really_ know whether brain is statistical machine or not, let alone whatever we call by consciousness, so it's a stretch to say that LLMs do some of the things humans do [internally and/or fundamentally]. They surely mimic what humans do, but whether is it internally the same or partly the same process or not remains unknown.

Distinctive part is hidden in the task: you, being presented with, say, triple-encoded hex message, would easily decode it. Apparently, LLM would not. o1-pro, at least, failed spectacularly, on the author's hex-encoded example question, which I passed through `od` twice. After "thinking" for 10 minutes it produced the answer: "42 - That is the hidden text in your hex dump!". You may say that CoT should do the trick, but for whatever reason it's not working.

Thing that I don't understand about LLMs at all, is that how it is possible to for it to "understand" and reply in hex (or any other encoding), if it is a statistical "machine"? Surely, hex-encoded dialogues is not something that is readily present in dataset? I can imagine that hex sequences "translate" to tokens, which are somewhat language-agnostic, but then why quality of replies drastically differ depending on which language you are trying to commuicate with it? How deep that level of indirection goes? What if it would be double-encoded to hex? Triple?

If someone has insight, can you explain please?

I see your point, but consider this - generative AI has shown excellent performance in mapping tasks. I've seen examples where it flawlessly extracts data from markdown format to JSON, so mapping fields should be as nearly as the same? I bet something like GPT-4 can even figure out mapping by itself.

Cool idea, but isn't this kind of old school? I mean, with all the new AI stuff that can learn and guess what we need to do, isn't the whole record and replay thing a bit behind the times? Wouldn't generative AI solve that?

Yandex.com?

"Try it out" live demo loads forever for me. Possibly overwhelmed by requests?

If you're using Firefox, try to disable Enhanced Tracking Protection. It did the trick for me.

When I read text generated by GPT-3 I'm getting very strange feeling.

I understand that text as a whole has no clear meaning. Nevertheless, my the mind unconsciously _tries_ to extract meaning by evaluating sentences not as direct statements but rather as metaphors with some more profound sense.

That triggers thought train that eventually leads to some new concept or idea which can be described by such a set of sentences.

It's like reading a book which you don't quite understand, yet trying hard to read sentences over and over again to get a better understanding of what the author is trying to describe to you.

With GPT-3 it is like reading reminiscence of your own dream, trying to grasp fleeting meaning, understand what it is about.

I feel that GPT-3 may be very helpful in getting the human mind unstuck from whatever problem on the hand. To get new thoughts, new ways. New discoveries.

It's cool and interesting application of the technology, but doesn't really seem to be practical.

When you're unable to access machine using your standard SSH keys usually it means that it's highly unlikely that it will be possible to login remotely via other means.

As an emergency login there are two common options:

* in case of cloud: use remote VM console provided by the hosting provider.

* in case of bare-metal: use IPMI to access machine console directly.

Ironically, this repository has `master` branch, not `main`.

I code mostly in Go. And yes, I'm writing `log.Tracef` everywhere.

Might seem tedious, but in fact it's easily automated using snippets in the editor.

Also when I'm inserting trace statements during development it provides a great help since it's much easier to debug logic.

Regarding performance: I don't think that we need to worry about log performance. Most applications we have this days are not performance-bound to the logging. And all it takes to disable particular log level is single `if` in the code. Or a build flag in more extreme cases.

Are you joining my side?

No.

As a user of many programs I always find it very frustrating when some program does not work and produce no log information whatsoever.

As an engineer, I always write detailed and human-readable log entries with as much context as possible which is split into trace, debug, warning and info levels.

With trace level enabled it's typically possible to reconstruct program execution step-to-step, which is _invaluable_ when you need to debug some rare problem.

Even if logs are ephemeral and not persisted it's better to have logs for a run than not having logs at all.

Logging as a side effect is irrelevant if you look at your code from the pragmatic standpoint, from which program execution transparency matters more than some abstract elegancy.

Whenever I read, see or, especially, visit such enormous abandoned man-made objects I have very specific feeling which is hard to put in words. Some wild yet soothing blend of awe and fear.

Does anyone else experience it? Is there a name for such feeling?