Just learning Time Complexity
Turns out writing code that works and writing code that works efficiently are two completely different skills.
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Himanshu Sahoo
553 posts
Himanshu Sahoo
@hsbuilds_
Tech nerd💻, writing✍️, Growing 1% every day. The evolving story of being human in a digital world.
Bhubaneswar, Odisha, India Katılım Mayıs 2025
22 Takip Edilen29 Takipçiler
@kmeanskaran A startup under 20 people sounds romantic until it's 11pm and you're debugging production alone because you're the only backend person
The learning is real
So is the burnout.
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@sylvester_mol @asaio87 Maybe a formal education isn't enough but
mastering programming, problem solving, and staying relentlessly curious beyond the syllabus give an edge
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@asaio87 @hsbuilds_ False hope, unfortunately.
He hasn't spent enough time around vibecoders or played enough with Claude Code to understand what it can do.
I think a formal CS education is definitely an advantage, but the threat of AI is severely and ignorantly underplayed here.
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Its safe to say software developer jobs are fine despite AI
I have 15 years experience in software development, and I know what to prompt, but still it takes hundreds of prompts to create an app with AI
If you have 0 experience, you dont even know what to ask it.
then what do you do when the app breaks ?
non-devs have no chance to vibecode a production app
devs on the other hand seem to get superpowers
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it’s funny to me how people spread this narrative that CS degrees are useless after LLMs, when they were equally useless before LLMs
emphasis on equally
the education system has been outdated for >20 years now, LLMs changed nothing
and there's a reason why
Himanshu Sahoo@hsbuilds_
@asaio87 Man, you are giving hope to me and thousands of CS students
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@NavalismHQ @naval Sometimes when you get more abundance and options, your brain stops braining
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humanities graduates were told for 20 years their skills weren't valuable. Turns out persuasion, narrative and judgment are exactly what AI can't replicate
Rohan Paul@rohanpaul_ai
Peter Thiel on who is most likely to lose jobs to AI: "It seems much worse for the math people than the word people" "Within 3-5 years AI will be able to solve all the US Math Olympiad problems. That would shift things quite a bit."
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@rohanpaul_ai If a idea sounded obviously good, someone bigger would already be doing it
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Larry Ellison:
“My standard advice to entrepreneurs is you can’t be successful as a small company doing the same thing everyone else is doing… If you’re an entrepreneur, you have to find errors in conventional wisdom.”
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@CuriousWbt @asaio87 That will be great but I think as students we have to take these steps ourselves
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@hsbuilds_ @asaio87 Cs curriculum should focus less on coding, more on design and networking.
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You need to be a programmer to identify the mistakes by the AI even when you don't have to write each line
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@XFreeze Fascinating take from the man
while running Grok on X, where the truth seeking is optional and the engagement is mandatory
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@haider1 So they want to build more personalized AI that works like your PA
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Sam Altman says today's models are still dumb because they barely understand your life
The next shift is a model that knows your context, your work, your goals, your people, and the way you use your computer
"that is gonna be a complete change to what it feels like to use AI"
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Everyone says
take the risk!
but they rarely see the real circumstances others are dealing with-bills, family, zero backup.
Advice is cheap when it's not your life on the line.
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Sam is right but with one caveat the risk calculus changes completely based on your circumstances
Privilege is what makes certain risks feel 'calculated.'
Not everyone's downside is equal
Rohan Paul@rohanpaul_ai
Sam Altman: “Most people don’t take enough risk” I think people have terrible risk calculus in general… almost always A) you’re wrong about what is risky and what is not risky, and B) most people don’t take enough risk—especially early in your career."
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The real unlock here is adding emojis to categorise sources. Sounds silly until you realise visual organisation is how most people actually think.
NotebookLM@NotebookLM
Mo sources mo problems? Not anymore: Rolling out now, NotebookLM can auto-label & categorize sources (when you have 5+), so you can spend less time scrolling and more time thinking/learning/philosophizing, etc. Rename, reorganize, & personalize (emojis!) to your ❤️'s content.
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The paper is basically saying companies are rational individually but collectively irrational.
Every firm races to replace workers with AI to cut costs.
But if everyone does it simultaneously, consumer spending collapses and nobody has customers left. Classic prisoner's dilemma at civilisational scale
Akshay Saini@akshaymarch7
I was reading a recent research paper called "The AI Layoff Trap". And it made me think. Right now, everywhere you look… companies are laying off people and replacing roles with AI. On the surface, it feels simple. Less salary → more profit. But the paper says something interesting. When companies fire employees, they are also removing customers. Those same people were earning and spending money. If this keeps happening everywhere, less income → less spending → less demand. And that can actually hurt companies in the long run. The strange part is, even if companies understand this, they still can’t stop. Because if they don’t automate, someone else will. So everyone keeps moving in the same direction… even if it’s risky. The paper also talks about solutions. Some things sound good, but don’t really fix the core problem: Giving free money (UBI) Taxing company profits Upskilling alone These help people, but they don’t change the incentive for companies to automate. Some things help partially: Better re-employment of workers Giving employees equity These reduce the problem, but don’t remove it. According to the paper, the only thing that fully fixes this is: A tax on automation itself. So companies think twice before replacing humans. I found this perspective quite interesting. This is not just about “AI will take jobs”. It’s about how the whole system behaves. Curious what you think.
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