PEOPLE ARE GONNA

@shanemorrisdotsucks

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Promoted product

GoRapide

Why it worked

The video taps into a common sentiment among developers about the evolution of programming paradigms and the hype cycle around new technologies, offering a contrarian but potentially insightful perspective on future trends.

Summary

The speaker discusses how future generations will view current programming trends, contrasting them with historical figures like Galileo. He emphasizes that while many focus on LLMs and probabilistic systems, the real impact will come from deterministic guard rails applied to these systems.

Structure

1Historical perspective on programming trends
2Critique of current focus on LLMs and probabilistic systems
3Introduction of deterministic guard rails as the future
4Emphasis on the importance of these systems for the next 5-10 years

Product placement

GMC TRUCKS (hat): appears, does not act, removing it does not change what happens in the video. GoRapide (software products): acts, its products are being rolled out and making progress, removing it would change what happens in the video.

Original caption

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More from @shanemorrisdotsucks

On-screen text

PEOPLE ARE GONNA LOOK BACK IN 200 YEARS, 500 YEARS, REMEMBER ME LIKE THEY REMEMBER GALILEO. SWEAR TO GOD. BECAUSE EVERYBODY'S GONE THROUGH THEIR ENTIRE PROGRAMMING JOURNEY, MYSELF INCLUDED, THINKING THAT DATA DRIVEN PROGRAMMING WAS IT. OBJECT ORIENT PROGRAMMING, WAS IT. WHAT RIGHT NOW IS THAT Y'ALL ARE FOCUSED ON LLMS AND AND IN PROBABILISTIC SYSTEMS IT IS THAT THERE'S CONVOLUTIONAL NEURAL LOVE IT. I'M A MACHINE LEARNING ENGINEER AND ALL THAT, REALISTICALLY, EVENT ARCHITECTURE DECISION LANGUAGES, EADLS, RIGHT? THOSE ARE THE ONES THAT ARE AND MAKE A NEXT FIVE TO ALL THE HYPE BECAUSE I WANT YOU TO UNDERSTAND THESE ARE NOT EXCLUSIVE SYSTEMS. PRODUCTS WE'RE GONNA THAT HELP PROBABILISTIC SYSTEMS BY GIVING THEM DETERMINED TO GUARD RAILS, JUST WHAT YOU

Transcript

People are gonna look back in 200 years, 500 years, remember me like they remember Galileo. Swear to God. Because everybody's gone through their entire programming journey, myself included, thinking that data driven programming was it. Object orient programming, was it. What right now is that y'all are focused on LLMs and and in probabilistic systems. It is that there's convolutional neural love it. I'm a machine learning engineer and all that, realistically, event architecture decision languages, EADLS, right? Those are the ones that are and make a next five to all the hype because I want you to understand these are not exclusive systems. Products we're gonna that help probabilistic systems by giving them determined to guard rails, just what you

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