Founder, FuturElectra | Ex-Founder, OYE! Rickshaw | Obsessed with everything about EV and AI | Love cricket and tennis
india
Joined January 2010
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If u have watched @WorldOfRamayana and someone is telling you it could have been better or not at world level. Just shake your hand and say nothing.
This movie is the best from any benchmark- CGI, VFX etc ect. Nothing comes closer to it- lord of rings/odyssey etc
Akash Deep retweeted
With democrats taking control of Congress I expect (with varying levels of confidence) that:
1. Jay Powell will step out of the Fed as central bank independence will be more secure.
2. Tariff policy will be less insane.
3. Fiscal deficits will remain a problem
Every book launched on amazon is a best seller. The best part is now it is best seller at pre launch step.
We want to win because the pursuit gives our lives purpose, not because we want anyone to care about our story. 😀
Two different thoughts on Agentic payment design process
1. Indian design principle - payments done by AI agents- make sure final authentication is done by human and not agent, this way everything is secured.
2. US design principle- We will make agentic payment system so secure and trust that you will forget about payment security issue. Issues will come but with time, it will go down to almost zero. But we will never design to keep human in loop. Because if we do this then its not Agentic payment system.
QC commerce sales is down this festive season? Anyone who can share some info on this, especially gurgaon
Aisa wala podcast banao india mein..this format looks very natural.
Sundar Pichai explains why Google had its own ChatGPT before OpenAI shipped one, and still kept it inside:
"We built Transformers and used it immediately in Search to improve language understanding, understanding web pages, understanding your queries, kept building better models. We also started productizing it internally in the form of, there were teams building something called LaMDA"
"We exactly even conceived the product, which is ChatGPT. It was LaMDA. If you remember, there was an engineer inside who thought it was sentient. Think of it as an early version of ChatGPT he was speaking to, internally"
"In fact, in the Google I/O in '22, we launched something called AI Test Kitchen, and that was LaMDA, but we had constrained it because internally, we didn't have an end-to-end version which was RLHF-ed. The version I saw was a lot more toxic at a level. We couldn't have possibly put it out at that time"
"Also, I think as a company, which had this search quality bias, we had a higher bar, maybe, for what we thought was an acceptable product quality to go out"
"The way I internalize these moments is if you're in consumer internet, you're going to have surprises"
If you're new here, @GeniusGTX is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content.
Every founder knows this and to everyone’s surprise during the meeting itself.
Its just that they dont want to disappoint themselves till they get meeting with other VC.
A few observations on AI from what I’m seeing:
1. I’m yet to meet someone who says AI has made their working life genuinely simpler. Faster at some tasks? Yes. Simpler overall? Not so clear.
2. The more work you try to delegate to AI, the more time you can end up spending checking, correcting and supervising it. The human stays firmly in the loop.
3. More clients are willing to talk, and there are more opportunities to grow revenue. But so many teams are chasing the same opportunities that margins remain thin. Token costs take another bite. Top-line potential doesn’t automatically translate into bottom-line gains.
4. Open-source models aren’t free to run. What you save on model access can go straight into GPUs and infrastructure.
How much of the productivity gain is actually showing up as less work or better margins?
More often than not, when you think its the supply i need to track or build as it is the hardest in a business, thinking demand is always there. Oh man, its always demand. Once you have demand and i mean not 1000s, even 10-100 its so easier to build supply. Why?
Because you know you have real customer and you can talk to them - what they want.Its that simple.
Now we know but don’t know why we always keep on indexing on supply which is important but focusing on demand makes things so easy. And its real hard to get first 100 customer than anything in business.
Was listening to @RajanAnandan take on Quick commerce. This is so true, its one of the hardest operations to run at every stage - early to scaled.
So much innovations get driven by QC market. Customer getting things or service on few minutes
Gig workers making real money and beyond their expectations if they work with dedication and discipline.
Driving EV adoption in 2W and 3Ws
Warehousing and supply chain innovation
In next few years, almost all things and services will have a QC alternative and will be massive.
In my view, it's okay to fail as many times as possible, but becoming a philosopher after you give up is too dangerous for your audience if you have
This is what i m most excited amount for a AI use case . Go to any hospital in morning OPD time, 1000s of people are sitting waiting for their turn just to get max 30s or 1 min from the doctor. No fault of them, the requirement is very very large and the qualified doctors are limited.
A common misconception is that if you are super rich, you can get unlimited access to the world's best doctor/lawyer/creative-professional etc.
The reality is that the world's leading cancer doctor will still see you for 20-30min if you have cancer no matter how much money you have.
This is why AI is so crazy.
It both democratizes access AND it makes the amount of time available unlimited for every individual.
This is the practical effect of intelligence too cheap to meter.
Many of the personal use case shared by people about instinct on x/linkedin are not to be taken as a base case to build something in ai assistant space. Most of them are showing off - yes i use instinct or muse.
What be the right way to understand real problem cases to start with in consumer space?
Over time your personal assistant will understand your tone, preferences etc..then it will deliver work the way you want.
Consumer - Oh! I need to train them like a pet. Not really but kind of yes.
Yaar dhaniya mangana hai, ab is par kya train karu. Khud hi order kar lungi. You keep your assistance with you.
Soon, @OpenAI will likely bring its own hardware to market followed by others. Always on, doing work for you before you even think to ask.
If AI handles all the work, will our phones become purely entertainment devices?