Smoking cigarettes because you believe AI will cure cancer is the way-OTM call option of lifestyle decisions.
You have to be right on both direction AND duration… or you blow up.
The most fascinating part of this moment is that AI capability is compounding far faster than adoption or understanding. We're approaching a world where the gap between what technology can do and what most people believe is possible has never been wider
[name]?
sending that ^ as a last-resort bump email is the most effective sales technique i've ever learned
it evokes an emotional response in the recipient because people are not used to seeing their name in such an exposed manner. it's almost alarming
the format also breaks their pattern recognition of what cold outreach looks like, and therefore breaks their autopilot response to said outreach
this has either revived or generated at least one deal per month for me, no exaggeration
Agreed @mwaldman130 If anything, AI is making exceptional engineers even more valuable. The gap between those who can build something and those who can build something great is only going to widen.
I was previously in the camp of "SWE will be solved". Instead, the field will bifurcate.
Great SWEs are more demanded than ever: AI amplifies their value.
Those with the ability to craft solutions LLMs are incapable of regardless of model/harness: low-level optimizations, clever system design, maintain increasingly complex codebase, good product taste, and experiment design sense are in a great spot.
SWEs who just executed on plans that others laid out are at risk. Those who have historically been in the latter group can definitely cross over, though.
6/ My prediction: the next major battle won’t just be about who builds the smartest model, but who builds the systems that understand how the world actually works. Models are getting better at knowing everything, but the opportunity is getting them to understand your everything
The next AI breakthrough will come from giving existing models the right context.
Having spent time deploying AI into some of the largest financial institutions, I’m convinced the industry is optimizing for the wrong bottleneck.
A few thoughts:
5/ This changes where value accrues: As models become cheaper and more interchangeable, intelligence itself becomes less of a differentiator. The real advantage may belong to whoever best understands the environment in which that intelligence operates
Couldn’t agree more @Lihong062. Some of the most exceptional people I’ve met would never have stood out on paper. Talent and ambition are everywhere, but access and opportunity aren’t. The upside of finding these people early is enormous….
Talent is more widely distributed than the credentials that make it legible to capital.
Love that @AlexMonahaqyrt is putting time and resources behind that insight.
A small grant and the right mentor can go a very long way for someone who's ambitious and able.
Today we're announcing a multi-year partnership with @TresVista .
TresVista delivers CIMs, pitch materials and research to more than 400 clients worldwide, each with its own templates, standards and regulatory requirements. With Farsight's firm-native AI, its teams will build each deliverable from their own templates, models and prior examples, with every client's data securely managed and kept distinct.
"Farsight gives our teams an AI platform that can work with those nuances, helping us produce long-form, client-ready work for hundreds of firms around the world," said Sudeep Mishra, CEO of TresVista.
Read the full announcement: https://t.co/S7lQmnNhGo
The venture market right now is more frothy than it has ever been.
Yes, outcomes are larger than ever.
Yes, it has never been a more exciting time.
But three rounds in three weeks is not cool, it’s unhealthy.
$5BN for an idea, fine for a genius, not when there are 100.
The Ponzi scheme is off the charts right now.
And all investors know it behind the scenes.