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No Priors: Artificial Intelligence | Technology | Startups
Context windows, computer constraints, and energy consumption with Sarah and Elad
No Priors: Artificial Intelligence | Technology | Startups

Context windows, computer constraints, and energy consumption with Sarah and Elad

Conviction 29m 24 months ago
At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo talk to the world's leading AI engineers, researchers and founders about the biggest questions: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What’s happening in state-of-the-art in research? “No Priors” is your guide to the AI revolution. Email feedback to show@no-priors.com. Sarah Guo is a startup investor and the founder of Conviction, an investment firm purpose-built to serve intelligent software, or "Software 3.0" companies. She spent nearly a decade incubating and investing at venture firm Greylock Partners. Elad Gil is a serial entrepreneur and a startup investor. He was co-founder of Color Health, Mixer Labs (which was acquired by Twitter). He has invested in over 40 companies now worth $1B or more each, and is also author of the High Growth Handbook.

Show Notes

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This week on No Priors hosts, Sarah and Elad are catching up on the latest AI news. They discuss the recent developments in AI like Meta’s new AI assistant and the latest in music generation, and if you’re interested in generative AI music, stay tuned for next week’s interview! Sarah and Elad also get into device-resident models, AI hardware, and ask just how smart smaller models can really get. These hardware constraints were compared to the hurdles AI platforms are continuing to face including computing constraints, energy consumption, context windows, and how to best integrate these products in apps that users are familiar with.
Have a question for our next host-only episode or feedback for our team? Reach out to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil 
Show Notes: 
() Intro
() Music AI generation
() Apple’s LLM
() The role of AI-specific hardware
() AI platform updates
() Forward thinking in investing in AI
() Unlimited context
() Energy constraints

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