Its still so early in the game for de facto standards - engineering teams need to experiment and see what works for their own quality metrics not just parrot “standards and methodologies”
This is still the very early days of AI and AI engineering
yeah tell me about it... Fable today refused to turn on Row Level security on my internal db on in development app becuase of cyber-securty safeguard..had to switch to Codex
As someone who has worked in tech for over 20 years, I think the backlash against modern technology is not hard to understand.
A few things stand out:
The social isolation of the digital age. We spend more time staring into phones than looking each other in the eye.
The polarization created and amplified by social media platforms.
The spread of disinformation, radicalization, and algorithmically optimized outrage.
A developer and founder culture that is still heavily male-coded, often morally shallow, and too quick to treat empathy as weakness or inefficiency.
The hype-and-hustle economy that startup culture has helped normalize inside American hyper-capitalism. The robber barons of earlier generations have been replaced by tech bros, growth hackers, and social media personalities who are often rewarded more for manipulation than for building anything durable.
The erosion of the middle class and the normalization of unstable gig work, especially for Gen Z and millennials, leading to a lower standard of living for many younger Americans.
Crypto, and the amount of fraud, speculation, and wasted energy that came with it.
Now AI: not just the technology itself, but the way it is being funded, marketed, and deployed, often with little regard for human creativity, labor, consent, or meaning.
Yes, this is a negative list. Technology has obviously produced enormous good as well.
But it says something important that many younger people increasingly experience modern tech not as liberation, but as addiction, surveillance, manipulation, and spiritual exhaustion.
Also Battlestar Galactica -multiple shots of homes in Vancouver- I remember watching the series and wondering what city was being used for Baltar's house and surroundings because it was so beautiful, futuristic and clean..then I went vistied Vancouver.. its truly a gorgeous city and area
For Pete’s sake lets outlaw prediction markets already instead of hyping them in crappy greed-posts like this one
I am embarrassed this “rationalist, I’m so much smarter than you, so I know better” asshole Scott Alexander hasn't been skewered yet for promotion of gambling (prediction markets) that people like Trumps son are making millions of on
All these prompt and skill based git repos are sus... nothing is benchmarked -its all so subjective and unproven and breaks with model updates -everyone and his uncle has a 'secret sauce skill' -that just proves to me the subjectivity of this endeavor.
That Fable Generated video is something else... wow I love it.. along with the app
Anyone who says LLMs can't reproduce intelligence I mean really? can you make this? its not just a talking database guys or a stochastic parrot...
too bad Fable was nerfed/gatekept by the Trump corruption selection committee..but the technology will not be silenced.. we just need to get humans ready for this capabilities. the jury is out on the future of that.
Exactly, I'm over 50 and I remember all the complaints about script kiddies who looked at windows bat files as opposed to all the 'real programmers' who knew C and Assembly and used VIM and linux (which is still going strong)
This horrible mentality is what ails tech bro culture today and ruined the tech world for me - chasing billions
Greed mixed with analytical thinking on industrial scale - graham, thiel, musk, hoffman, bezos, zuck all symptoms of “smart” people who screwed this country ultimately - all for what?
Has the changed world that resulted been for the better?
Its crazy to me people write these articles and create standards like this is some kind of engineering standard with years of research and experience
This is like calling these folks the experts on aviation: https://youtu.be/M9Yww9LG3gw?is=xgtA-xMpNy-09Asu
Its still so early in the game for de facto standards - engineering teams need to experiment and see what works for their own quality metrics not just parrot “standards and methodologies”
This is still the very early days of AI and AI engineering