let me flex a bit, because I'm amazed how it turned out.
I use to travel quite a lot, and have Tailscale set up on the Pi 4b, which runs my Home Assistant
but finally, I decided to move tailscale to a dedicated server in my homelab
speed improvement is... I guess let's call it noticeable 😂 I'm limited by the wifi speed now.
what's your internet speed guys?
@riskirills@ThePrimeagen ai is not a human (I know, shocking right?) its not learning from mistakes, or improving after the training phase
so if it doesn’t write good code from the start - it’s crap
@ryancarson@thecsguy No it’s not. Unsubsidised ai cost is so huge that more and more often it doesn’t make financial sense to use agents for everything.
Its circling back to an assistant for skilled people making them even more skilled
@deedydas interesting, because models should be trained on those codebases
problem lies with the context window, performance grafually fail as the context is filled
did you know that in Go you can declare an int value with underscores? 🤯
compiler will just ignore them
it's something I just learned...
after a few years of coding in Go
it may explain some of their incodents, (but still the load increase is not so much given the 2 years timeframe
every major company launching big product knows how to cope with that
what those numbers don’t justify are the non load related incident like the last merge queue issue
@CDay152@AdamSinger yeah, well... don't start a new war every now and then and the defense spending will drop
we learned that in Europe almost 80 years ago
I don't know how AI is supposed to get so advanced
we are at the limits of the transformers architecture (that is behind current LLMs), and no clear solution on the horizon
new models cost billions to train already, for few % gains at most
it might become cheaper, but still there is a limit of “intelligence”
@signulll only in the b2c space, in b2b and large enterprise in general mcp are on top now
those companies cannot afford to let LLM loose and hope it’ll be ok
to much is at stake there
i don't talk about slop companies like MS, but the ones outside of pure software business
@ItsCuthulhu@asaio87 you can't do it properly in 10 prompts, not even close in like 95+% of cases
maybe only if you are talking about some tiny app with 1-2 basic functions
but even then, it takes much more than some js to run reliably and securely
@Lintilla369@asaio87 but, devs can learn this too, and with much more head start (and solid foundations bc of experience) I’m not sure devs will be outpaced...
@hiarun02 I did, and so far I’m happy
cc limits are becoming ridiculous eecently, compared to codex where I still didn't managed to hit limits on plus plan
I know that openai heavily subsidies costs, which anthropic is slowly doing less and less... but as a customer should I care?
@S_N_SH_E_ simple thing, if the basic tools are the same, then any additional knowledge amd experience becomes valuable asses
those guys yapping that “it's better to have no knowledge to AI” are just bunch of nonsense trying hard to be important
even tho most of my posts and comments are AI skeptic, I still don’t get this guy
choosing career path around tech, and then complaining it changes fast is a Karen move... just nitpicking
it can be demotivating when AI can write code, even sometimes with acceptable quality - yes, but on the other hand, it’s like writing in Python vs Assembly
you can do in 5 minutes something that used to take weeks to learn just to get started
the wrong problem to focus on is fighting with AI tools on every line of code, it's literally like becoming micromanaging boss that most of us made fun of at one point or another
better problem to focus on is to treat AI like a bunch of juniors, they need supervision, examples, explaining things, etc.
and those years of experience are huge boost here, everyone can vibe code a product now, but to build one that is scalable, don't burn a pile of money on infra, so it doesn't have a single point of failur, or dependant on a single api that can change overnight - this still takes experience and knowledge, AI is terrible at it