Think about those rare "double threats" you've worked with: the designer… | Tal Raviv

Regardless of your GTM approach and the type of users teams end up choosing, my core view on building AI-first companies in 2022 is that outside of the core team dynamics above, pace and conviction will be what dictates success.

The pace of innovation means having the time to see validating data will be nearly impossible, and thus teams must build a... See more

if your job is legible enough that people can make a dataset clearly pointing out what is right and what is wrong, you are at the highest risk for an AI model being “superhuman” at your job. It is even more risky if it is possible to articulate your thought process in a way that is verifiable.

Looking at this perspective, it makes more sense that c... See more

In 2023, AI must absorb an influx of tourists – thin GPT wrappers, MBA tweet threads about AI trends, LinkedIn bios changing from #crypto to #AI. Genuine technologists will join the development effort, but filtering out negative human capital is challenging.

Undoubtedly, more builders are needed to apply and productionize the latest technologies,

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As the expression of ideas becomes exponentially easier, the ideas themselves become more of the differentiator (yes, I think “Prompt Engineering” will become a discipline in and of itself!). Good ideas aren’t derived solely from logic and patterns of the past; they’re also the product of human traumas, mistakes of the eye, and uniquely human inge

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Imagine you're assembling a team for an escape room challenge. Would you rather have six managers debating strategies or two sharp thinkers who rapidly test every combination to unlock the door?

Welcome to the era of AI-native companies, where individual contributors (ICs) reign supreme.