AI • Quantum • Startups | Co-Founder @rasyn_ai | PhD CSE |
Focus: Healthcare, Biotech, Geospatial, Signal Processing |
Building the tech that defines tomorrow
Is language really the best way for a human brain to communicate with a billion-parameter synthetic intelligence?
It feels like we’re trying to interface two high-capacity reservoirs with a narrow stream.
1/3
I gifted a 1-month @claudeai Pro subscription. The person redeemed it through the link fine. It even showed an extra $20 credit for some time because there was 1 day left before the old 1-month pro gift expired.
Next day, when the old gift ended their account just shows the free plan. The coupon is marked as redeemed, but no Pro is there.
@a16z@balajis Totally agree. Distribution has always been a real moat, but now it’s way more competitive with all the channels being way more accessible. Founders who own their “why” and actually amplify it are the ones grabbing the audience first.
https://t.co/Hn98BbEoOz
1/ Distribution is everywhere. The more I think about it, the more apparent it gets.
Whether it’s a new product launch, your groceries, or your YouTube content, everything runs on distribution.
Building is good. But without distribution, your product might as well not exist.
@heyblake yesn't
I mean, yes founder should write everything, they know the vision better than anyone else, but also get it proofread or edited by some neutral third party so the website does not scream like a cold pitch deck and looks more approachable
@bremen79 The review process was always messy. This year ICLR might have just revealed the fragility of this system. Maybe the academic field is slowly dying, or maybe not, but the system is due for an upgrade.
AI has won simple tasks like drafting emails. But only 5% of enterprises have successfully adopted task specific AI, real-world tasks are hard.
The startups winning are building solutions that learn from feedback, retain context, and customize deeply. These are the things that matter for enterprise adoption.
1/n
YC gets it. This is the same study we reference in our pitches. Our notes from reading the MIT State of AI report (https://t.co/lhqGLTF2nF): Only 5% of enterprises have adopted embedded/task-specific AI, while 40% use general-purpose AI.