The new hope: humans become more focused on judgment, taste, purpose, play, mastery, and community.
The practical future: policy, UBI, retraining, craft economies, human-authenticity, entrepreneurship.
AI-era applications: writing, coding, education, art, law, medicine, data, management.
The statistical tests: which activities survive automation, and why?
The new anxiety: the real danger is not “humans become useless,” but transition pain, inequality, and loss of identity. (3/3
The old fear: every major technology looked like it would erase human activity alltogether.
The concept: separate economic function from the meaning function.
Historical proofs: horses, textile, painting, music, sports...
(2/3)
will AI automation make humans 'useless' or 'liberated'?
the key is to separate the 'necessary economic' part from the activity.
Yes, AI can destroy jobs. But a job is not the same thing as an activity, and an activity is not the same thing as human purpose.
book idea: (1/3)
@Suhail I'm curious, did you not check his commit history on his personal projects? there should be good signals if they are real work or he just forked someone's code and fabricated into his own;
@yegordb@Suhail Curious, how do your research group "have access" to private code repos? did ~0.5% of the world's developer all gave you their permission?
@massivemuck @Suhail if you're a master liar you can do pretty much anything you want, not just in tech, plenty of stories out there to inspire if you want to go down this path
@Imran_khan_PTM @Mohsin_o2 it's very easy to prove this false, just get these people in front of a camera and prove it they are not captured or injured.
The nature of LLMs is to output statistically likely results, this fundamentally conflicts with Epistemic Humility, the essential trait for building a failsafe system of knowledge in the long run.
Reasons you're not getting interview invites:
1. no JD-relevant work experiences
2. The workflows in your work experiences don't reflect what actually happens in the industry.
3. missing projects done in the company industry (that uses actual industry standard tooling)
the medallion architecture of data engineering pipeline (bronze, silver, gold) is kind of confusing, maybe we should start call it Smelting, Casting, Machining instead, makes so much more sense.
random shower thoughts of the day:
if data warehouse == solid; data lake == air;
Data Lakehouse == Liquids
# Takes the shape of its container
# But has cohesion and flow rules
# You can pour it into any form without fully solidifying it first
@gabriel1@bigp34ch this life decision is like a highly leveraged bet, you win big to lose it all. Whereas the "masses", the "bad kids" and the "dropouts" he sneers on lived their life with endless possibilities.
he's raised to be a hammer, and all he sees are nails.