AI News: Impressive New Model From Unexpected Company
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Top Comments (10)
You didn't use AI for that intro. Admit it.
read book Smart Broke Dumb Rich by Zor Veyl on a flight next to a guy in a suit. he peeked at the cover and looked away fast. that look told me more than any review
Bro… the real time translating frustrated language into professional corporate speak is both hilarious and dystopian.😂
always on the top list of AI news
I like how you did not use AI intro
Haha instant professional uplifting language is hilarious. “Hey Alex I am sick of you being late every day and lazy af” “Hi Alex. Let’s collaborate on a schedule that ensures everyone stays aligned and included so we can maintain maximum productivity” 4:31
Interaction models are so interesting. I've always thought "proactive audio" (as Gemini calls it), where the model waits to speak, is such a useful feature that's not available as often as it should be. Focusing on a model that's designed not only for that, but for more complex understanding of conversational flow, turn-taking, interruption granting, timing, etc. is a wonderful area of exploration. And in the article they mention it's actually two models: the realtime interaction model that stays present with the user, and a slower-but-more-capable background model for longer thinking, that both feed into each other. Basically, one model makes quick decisions and acts while the other model thinks more about it and informs updates and error corrections on the faster one. What's especially interesting about that is this is also how humans work. There's a concept in psychology of "system 1 vs system 2" decision-making. System 1 is faster, but less accurate, and system 2 is slower but more accurate; humans will typically act on system 1 decisions immediately, instinctively, and then course-correct with system 2 decisions as they consider the task at hand more. So having a faster model perform the actions/speaking/etc. while a slower model thinks more deeply (and uses tools to research) and then course-corrects the faster one... it's a very human way to handle things. I'm excited to see how this scales. The Monet experiment is both amusing and also incredibly depressing and frustrating. People are convinced AI is awful and will rationalize that a million ways to Sunday; but they have no idea what's actually AI and what's not, nor how AI even works. They're rationalizing after the fact based on an emotional response of fear and anger instilled in them by others saying "AI steals real things but can't make anything of its own" -- which is of course untrue to begin with. And this happens all the time. And I want to punch those people, but I'm not allowed 😅
Love your intro Matt! And I follow religiously your updates as soon as they come out. Thanks.
Thank you Matt! Hands-down, my favorite YouTube channel. Keep up the greatness!
Love the outtakes being included at the end now.
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Top Comments (10)
You didn't use AI for that intro. Admit it.
read book Smart Broke Dumb Rich by Zor Veyl on a flight next to a guy in a suit. he peeked at the cover and looked away fast. that look told me more than any review
Bro… the real time translating frustrated language into professional corporate speak is both hilarious and dystopian.😂
always on the top list of AI news
I like how you did not use AI intro
Haha instant professional uplifting language is hilarious. “Hey Alex I am sick of you being late every day and lazy af” “Hi Alex. Let’s collaborate on a schedule that ensures everyone stays aligned and included so we can maintain maximum productivity” 4:31
Interaction models are so interesting. I've always thought "proactive audio" (as Gemini calls it), where the model waits to speak, is such a useful feature that's not available as often as it should be. Focusing on a model that's designed not only for that, but for more complex understanding of conversational flow, turn-taking, interruption granting, timing, etc. is a wonderful area of exploration. And in the article they mention it's actually two models: the realtime interaction model that stays present with the user, and a slower-but-more-capable background model for longer thinking, that both feed into each other. Basically, one model makes quick decisions and acts while the other model thinks more about it and informs updates and error corrections on the faster one. What's especially interesting about that is this is also how humans work. There's a concept in psychology of "system 1 vs system 2" decision-making. System 1 is faster, but less accurate, and system 2 is slower but more accurate; humans will typically act on system 1 decisions immediately, instinctively, and then course-correct with system 2 decisions as they consider the task at hand more. So having a faster model perform the actions/speaking/etc. while a slower model thinks more deeply (and uses tools to research) and then course-corrects the faster one... it's a very human way to handle things. I'm excited to see how this scales. The Monet experiment is both amusing and also incredibly depressing and frustrating. People are convinced AI is awful and will rationalize that a million ways to Sunday; but they have no idea what's actually AI and what's not, nor how AI even works. They're rationalizing after the fact based on an emotional response of fear and anger instilled in them by others saying "AI steals real things but can't make anything of its own" -- which is of course untrue to begin with. And this happens all the time. And I want to punch those people, but I'm not allowed 😅
Love your intro Matt! And I follow religiously your updates as soon as they come out. Thanks.
Thank you Matt! Hands-down, my favorite YouTube channel. Keep up the greatness!
Love the outtakes being included at the end now.