The Challenges of Predicting Nutritional Information of Food

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The speakers delve into the difficulties of accurately predicting and calculating the nutritional information of food, particularly when dining out. They discuss the limitations of current AI systems in determining accurate macronutrient counts and the potential usefulness of a robotic mouth to analyze food. They conclude that counting calories precisely is impractical and not always necessary.

Andrew is back! This week, Marques, Andrew, and David bring back the chaos and discuss the Google Gemini video being heavily edited, Beeper Mini being taken down by Apple, a new update to the Meta's Ray-Ban AI glasses that makes them multimodal, and the surprising outcome to the Google Vs Epic court case. There's a lot to get into! Then Andrew chimes in on a few stories that he's missed before we close it out with trivia. Enjoy!

Links:

Beeper Mini Update: https://www.beeper.com/update

Google's AI Demo: https://bit.ly/4aj9VsV

Google's AI Storyteller: https://bit.ly/41uQx8o

Epic v. Google: https://bit.ly/3Rm4Nvy

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Waveform: https://www.threads.net/@waveformpodcast

Marques: https://www.threads.net/@mkbhd

Andrew: https://www.threads.net/@andrew_manganelli