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Asha Sharma

Published podcast speaker

Claims
27
Episodes
1
Shows
1
Named items
1

Books, apps, and tools

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book / recommends

Tomorrow, and tomorrow, and tomorrow

“At work? It's probably Thinking Machines, so it's all about treating the cause, not the symptoms. The prototypical example is if you want to solve traffic, you don't actually put up speed bumps or speed limits, you actually have to solve walkability and mobility and why people actually use cars. Outside of that, personally, the CMO of Instacart recommended to me Tomorrow, and tomorrow, and tomorrow and I read it last month and last year and the year before because I love it so much. It's like this beautiful story over 10 years.”

Lenny's Podcast · 28 Aug 2025

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Claim ledger

What Asha said.

15 transcript-backed records

01 / belief

There's certainly going to be a bunch of new things to learn if that world ever plays out, but I think managing devices and policies and group access, all those things are solved problems, which is good.

“There's certainly going to be a bunch of new things to learn if that world ever plays out, but I think managing devices and policies and group access, all those things are solved problems, which is good.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

02 / belief

We touched on it a little bit, but I think that with the advent of agents and products that think and can act and reason, there's going to be this new wave around RL and I have a deep belief that that will become one of the most important product techniques of the next season or at least the next few seasons.

“We touched on it a little bit, but I think that with the advent of agents and products that think and can act and reason, there's going to be this new wave around RL and I have a deep belief that that will become one of the most important product techniques of the next season or at least the next few seasons.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

03 / belief

I think we're all early in this journey and great platforms that are built on great use cases and built on great customers, and so if you have feedback, you have ideas, you have things want AI to be able to do to help you achieve more, I'd love to hear it.

“I think we're all early in this journey and great platforms that are built on great use cases and built on great customers, and so if you have feedback, you have ideas, you have things want AI to be able to do to help you achieve more, I'd love to hear it.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

04 / belief

Look, I think that software as a primitive is changing and the artifact inside of it is a model alongside the software components itself.

“Look, I think that software as a primitive is changing and the artifact inside of it is a model alongside the software components itself.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

05 / belief

I think about an ensemble of models as a set of multiple models that then you can fine-tune and deploy independently, but at this point, we're all making up different terminology to define things that we have deep beliefs on that have limited sets of data points because everything is moving so fast.

“I think about an ensemble of models as a set of multiple models that then you can fine-tune and deploy independently, but at this point, we're all making up different terminology to define things that we have deep beliefs on that have limited sets of data points because everything is moving so fast.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

06 / belief

I just think that the reason why terminals are great and it feels really great when you code is because of the way it can interact with an LLM with the text stream. And I think that both can be true that humans will continue to commit code and will find new ways to actually do that, whether it's in the IDE, whether it's in GitHub, Copilot, whether it's in some new development environment, and I think that we'll do that with agents and agents will do that with each other and we'll continue to evolve from there.

“I just think that the reason why terminals are great and it feels really great when you code is because of the way it can interact with an LLM with the text stream. And I think that both can be true that humans will continue to commit code and will find new ways to actually do that, whether it's in the IDE, whether it's in GitHub, Copilot, whether it's in some new development environment, and I think that we'll do that with agents and agents will do that with each other and we'll continue to evolve from there.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

07 / belief

How do you observe if they, it's doing the right thing, how do you fine-tune it if they're not, all of those things. So I think that I'm just speculating that there's a world in which that could be pretty exciting and I think that's great because we can just accomplish more.

“How do you observe if they, it's doing the right thing, how do you fine-tune it if they're not, all of those things. So I think that I'm just speculating that there's a world in which that could be pretty exciting and I think that's great because we can just accomplish more.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

08 / belief

As of this year, Nathan Lambert did this study that I thought was pretty interesting of all the top leader boards and it showed that once a model hits 30 billion parameters, the CapEx to actually train a model and put billions of tokens into a pre-run doesn't economically make sense and you can start to optimize on the loop. And so yeah, in many ways, I think using your own data is the best way to do that, but you can synthetically generate data.

“As of this year, Nathan Lambert did this study that I thought was pretty interesting of all the top leader boards and it showed that once a model hits 30 billion parameters, the CapEx to actually train a model and put billions of tokens into a pre-run doesn't economically make sense and you can start to optimize on the loop. And so yeah, in many ways, I think using your own data is the best way to do that, but you can synthetically generate data.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

09 / belief

I 100% believe that's where the world is going, and then my experience should look and feel different than yours.

“I 100% believe that's where the world is going, and then my experience should look and feel different than yours.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

10 / belief

We all choose to someone who just said this to me and I thought it was great, "We all choose to close the door on our kids every single day to go work on something." And so you have to work on something that is deeply moving to you and you have a deep belief that is going to make the world a better place and I think that's why it's vibes.

“We all choose to someone who just said this to me and I thought it was great, "We all choose to close the door on our kids every single day to go work on something." And so you have to work on something that is deeply moving to you and you have a deep belief that is going to make the world a better place and I think that's why it's vibes.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

11 / belief

Oh, it's just going back to our previous discussion on the signals loop and products evolving and becoming these living organisms and not these artifacts. And if you think about getting really good at that loop, I think that is the product, that is the IP, that is the future of every organization and I think feedback becomes continuous and observability becomes the culture, and I think that functions start to blur in future workforces.

“Oh, it's just going back to our previous discussion on the signals loop and products evolving and becoming these living organisms and not these artifacts. And if you think about getting really good at that loop, I think that is the product, that is the IP, that is the future of every organization and I think feedback becomes continuous and observability becomes the culture, and I think that functions start to blur in future workforces.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

12 / belief

I think we have this conviction on a set of building blocks that we want to provide to enable these agents to endure and have high endurance and so that's what we're focused on.

“I think we have this conviction on a set of building blocks that we want to provide to enable these agents to endure and have high endurance and so that's what we're focused on.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

13 / belief

With this explosion of models that we talked about in the beginning, there's a lot of good models to choose from for different domains. And so I think that you just get more leverage economically, you get more leverage from a taste perspective of how you actually want to steer a model if you're actually doing reinforcement learning or some sort of fine-tuning to actually start to optimize what's off the shelf for some outcome like price, performance, quality.

“With this explosion of models that we talked about in the beginning, there's a lot of good models to choose from for different domains. And so I think that you just get more leverage economically, you get more leverage from a taste perspective of how you actually want to steer a model if you're actually doing reinforcement learning or some sort of fine-tuning to actually start to optimize what's off the shelf for some outcome like price, performance, quality.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

14 / belief

I think the beauty is there's a lot of models that can help you achieve that, and so I'm much more in the model system rather than one model to rule them all.

“I think the beauty is there's a lot of models that can help you achieve that, and so I'm much more in the model system rather than one model to rule them all.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

15 / belief

We think about it as what season are we in? Season one might've been prototyping of AI and then it was all around models and reasoning models, and now it's the advent of agents.

“We think about it as what season are we in? Season one might've been prototyping of AI and then it was all around models and reasoning models, and now it's the advent of agents.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast
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