Google has the engineers.
Google has the data.
Google has the GPUs.
Google has the infrastructure.
Google has billions in the bank.
Google has products used by billions.
And yet they’re still not clearly leading the AI race.
How is this possible?
I read over 1,000 pages on John D. Rockefeller.
Here are 9 takeaways for How To Lead A Company:
VIDEO CHAPTERS
00:00 Intro
01:17 Fight On The Frontlines
04:02 Business Is War
07:34 Quiet Confidence
14:08 Work With The Best
18:06 Hiring Practices
23:07 The Enemy Effect
25:52 Build A Strong Character
27:55 Make ‘Perfect’ The Standard
30:09 Belief In The Product
If you could only watch one video for how to conquer an industry, I would recommend this one.
System is making slaves who doesn't not train to think Education is the biggest problem people are not have attention to it system cracked student use ai to solve homework and teachers use ai to make homework degree are losing the worth.
Hot take… isn’t it kinda crazy that nobody is really using AI Agents? I don’t mean software engineers or AI early adopters. I mean “college friends talking about it in group chat,” the feeling you got when everyone started using Instagram or TikTok.
These frontier AI models are *insane* (as are the harnesses & tool calls & the like). And every large tech co has an AI agents platform, not to mention all the YC startups doing vertical agents. Yet all of your friends and family outside of tech — who spend all day staring at their iPhones and get paid to work in browser tabs — don’t really care or find themselves using any AI agents yet.
Yes ChatGPT, Claude, etc. are extremely popular… but if you look at the engagement data the vast majority of people are still using these aI chat tools like a glorified Google + Grammarly. That’s why the AGI labs are all pushing desktop apps for Codex, Cowork, etc. so hard to non-technical ppl. And yes exceptions for lawyers and customer service but even those have some asterisks and exceptions to rule.
Look I’m not saying the ChatGPT moment for AI Agents is not coming… it most definitely is! Remember we pivoted from Arc to Dia precisely because we believe computing is going to be radically reimagined around these AI primitives. No doubt. But that’s my point: it’s just so surprising it hasn’t happened yet because all of the tech you’d need is there.
Again if you stop for a second and think about it… for all the press and money and hype and models and crazy ARR numbers… this “AI Agent” moment does not *feel* like the other breakthrough tech moments we’ve lived through (e.g. think the shift to Stories via Snapchat & Instagram, or shift to on-demand via Uber/Airbnb/Doordash).
Which is a long way of saying: if you can figure out the answer to “why” most people don’t care about AI agents yet (and have no enduring interest in using them) — especially since the models and harnesses are here and ready — the answer to that question will allow you to capture a lot of marketshare and make a lot of money in 2027.
Theoretically, the tech is ready for AI Agents to totally transform how we work and live our lives… but alas the general public dgaf… that’s the generational puzzle to solve for the next 12 months for anyone not working on the models themselves.
🚨 Indian industries that are close to a duopoly.
Jio-Airtel (Telecom)
Swiggy-Zomato (Food Delivery)
IndiGo-Air India (Airlines)
Flipkart-Amazon (E-Commerce)
Uber-Ola (Cab Services)
Jiostar-Sony Liv (Sports Rights)
MakeMyTrip-EaseMyTrip (Online Travel Booking)
PVR INOX-Cinepolis (Multiplex Chain)
Blinkit-Zepto (Quick Commerce)
PhonePe-Google Pay (UPI)
AI content generation is becoming a commodity.
Everyone can generate videos, images, ads and copy.
The next opportunity?
AI that decides WHAT is worth creating.
Generation gets cheaper.
Judgment gets more valuable.
This is what happens when you swallow the “AI is replacing developers”hype but skip the economics homework.
$150K/month in tokens vs $4.5K for Rohan. Wild how that math works out.
Welcome back to the team, Rohan 🫡 😂
@stats_feed The math isn't the issue. People are bad at trading present pleasure for future pain especially when the cost is invisible.
Same reason people don't exercise or sleep enough. We're not rational calculators. We're just very good at ignoring slow damage
@burkov The real pattern here is every tech wave ends with infrastructure eating the application layer. Databases, cloud, big data, all followed the same path. The question isn't if it happens to LLMs. It's who controls the pipes when it does and what leverage that gives them
@satyanadella AI concepts stop being abstract when you can poke them in a spreadsheet. Attention, gradients, embeddings, people give up because the entry point is too hard.
Excel just removed that wall. This might be how the next million people actually understand ML
@GabbbarSingh Hard to blame parents when the country hasn't built enough opportunity to make staying feel worth it.
The real question isn't the mindset. It's why leaving still makes more sense than staying