Should be plenty of time for a 100x zero-shot vibe god.
796 karma · joined July 25, 2024
Should be plenty of time for a 100x zero-shot vibe god.
This is... Absolutely not true.
I had some family friends and their two (adult) sons come in (from Poland!) and loaned them my car for a week while they were driving around the states. They were all licensed and it could have been any one of them driving at any given point.
I've even been on road trips in my own car where figuring out the question "we got a ticket from nowhere, montana. Who was driving when we went through there?" Would be met with "that was over a month ago, I don't even know where that is much less who was driving then."
My husband and I and our kid take each other's cars for various reasons and trying to figure out who was driving on any given hour of the day over a month later when the ticket arrives in the mail would be an impossible task.
He sure showed them. The people I know using super old iphones are doing more than their public commitment to buy more apple products as often as they can -- after a brief tolerance break, of course.
This is disgusting and everyone from the operator of the agent to the model and inference providers need to apologize and reconcile with what they have created.
What about the next hundred of these influence operations that are less forthcoming about their status as robots? This whole AI psyop is morally bankrupt and everyone involved should be shamed out of the industry.
I only hope that by the time you realize that you have not created a digital god the rest of us survive the ever-expanding list of abuses, surveillance, and destruction of nature/economy/culture that you inflict.
Learn to code.
Planetary-scale networks is mentioned as a design goal on the first page of the docs https://reticulum.network/ which are hidden at the very top of the git repo.
100% of the people I have spoken with, from uber drivers to grandparents, have all noticed, hated, and are sympathetic to the fight against the rental/subscription economy. In 2025 I don't think I've had a single person defend the status quo because they all know what's coming.
> The amount of compute in the world is doubling over 2 years because of the ongoing investment in AI (!!)
All going into the hands of a small group of people that will soon need to pay the piper.
That said, VC backed tech companies almost universally pull the rug once the money stops coming in. And historically those didn't have the trillions of dollars in future obligations that the current compute hardware oligopoly has. I can't see any universe where they don't start charging more, especially now that they've begun to make computers unaffordable for normal people.
And even past the bottom dollar cost, AI provides so many fun, new, unique ways for them to rug pull users. Maybe they start forcing users to smaller/quantized models. Maybe they start giving even the paying users ads. Maybe they start inserting propaganda/ads directly into the training data to make it more subtle. Maybe they just switch out models randomly or based on instantaneous hardware demand, giving users something even more unstable than LLMs already are. Maybe they'll charge based on semantic context (I see you're asking for help with your 2015 Ford Focus. Please subscribe to our 'Mechanic+' plan for $5/month or $25 for 24 hours). Maybe they charge more for API access. Maybe they'll charge to not train on your interactions.
I'll pass, thanks.
(I think this game is probably past those times but not by much)
https://www.stellantis.com/en/news/press-releases/2025/octob...
https://www.jlwranglerforums.com/forum/threads/2024-4xe-loss...
Not even two weeks after going all-in on enterprise vibe coding including for "engineering workflows".
> [Stellantis'] determination to apply AI across every part of the enterprise
https://www.stellantis.com/en/news/press-releases/2025/octob...
But also the machine stops[1] and idiocracy both address this.
[1] https://www.gutenberg.org/cache/epub/72890/pg72890-images.ht...
From the readme:
> The key feature of McFly is smart command prioritization powered by a small neural network that runs in real time. The goal is for the command you want to run to always be one of the top suggestions.
> When suggesting a command, McFly takes into consideration:
- The directory where you ran the command. You're likely to run that command in the same directory in the future.
- What commands you typed before the command (e.g., the command's execution context).
- How often you run the command.
- When you last ran the command.
- If you've selected the command in McFly before.
- The command's historical exit status. You probably don't want to run old failed commands.
That is not even remotely significant. Facebook spends 25% (1 out of every 4) of my CPU cycles on tracking. Pretty much anything else they optimize (are they still using python and php?) Will have a bigger impact.