11–20 of 580 posts
That's an interesting point that I haven't considered before: that the narrative of AI replacing jobs plus the widespread cheating in school using LLMs is making students less engaged and new graduates less employable, becoming a self-fulfilling prophecy for AI.
And investment and experiments by definition include the risk of failing. In almost everything lies a survivorship bias and no one talks about the 100+ car makers that went into goldrush mode 100+ years ago. This is life. Netflix vs Blockbuster - already forgotten?
Also the "fail rate" - so what part is failing and why? What's with the 5%? If we have a look at exponential functions this might be a really good deal, if the 5% can account for the losses. After all, benefits compound over time.
I witnessed first hand in FAANG some quota hires and I believe that now that no one gets paid for contrived and artificial business advantages, we are back to a more merits based evaluation of workers.
But AI should not be written off as fancy something with no impact. That's the wrong take. Whether it will be a springboard to new jobs that compensate for losses or replacements - I am not yet sure, but tent to be in the former group. ML engineers take care of ML - something new that takes care of something new.
We will see.
https://www.futuriom.com/articles/news/why-we-dont-believe-m...
https://www.cnbc.com/2025/11/04/white-collar-layoffs-ai-cost...
I can't read the article but that won't stop me from commenting.. This year alone something like 400B was spent on investing in chips, datacenters, electricity buildouts. That's 400B that could have otherwise been invested in people. While i don't doubt that people will find a few solid business cases for LLMs, i am on team-bubble. I don't think this investment will add 400B worth of value and I very much doubt that…
Given all those articles with AI generated images I bet that some artists lost their jobs
A little bit off topic: but I couldn't even start to read the article because "I reached my article limit" out of I site I never visited before... What are they using to determine how many articles I've read? Opening in a private window solved the issue, however I'm pretty sure I don't regularly read anything on this site (maybe never was an overstatement?).
That's an interesting point that I haven't considered before: that the narrative of AI replacing jobs plus the widespread cheating in school using LLMs is making students less engaged and new graduates less employable, becoming a self-fulfilling prophecy for AI.
I use mobile services timeboxed and in conjunction with blockers for certain services. I also went back to use old-school pencils and paper for work whenever possible. It is helpful - and fun.
Blocking mobile internet on smartphones improves sustained attention, mental health, and subjective well-being: https://academic.oup.com/pnasnexus/article/4/2/pgaf017/80160...
Brain Drain: The Mere Presence of One’s Own Smartphone Reduces Available Cognitive Capacity: https://www.journals.uchicago.edu/doi/full/10.1086/691462
Over the last 20 years of tech, the giants have taken the smartest folks out there and put golden handcuffs on them. You could hire up all the smart folks and put them to work, or leave them out there and have them compete with you. With the launch of cloud providers and (expensive) dynamic scaling the problem only got worse. Think about hiring in the pandemic. Every one at home, with a stimulus check and nothing to do. Rather than a flurry of new software you got mass hiring.
But now we are in a capital intensive hardware cycle. Where in order to compete you need to have lots of $$$$ as well as software know how. It does not matter that there are smart people out there, without hefty backing they wont get very far.
I suspect that software is about to enter its "punk" era. We have software for small businesses that will help with accounting, HR, customer service, and cloud providers are starting to see some interesting competition. Much like the old punk poster showing you 3 chords and telling you to start a band it is entirely possible to find three friends and start a business that makes 1-10 mill a year with little effort and lower costs. The moment you stop thinking "unicorn" and start thinking "sustainable" the economics shift radically.