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How Zama Plans to Encrypt the Internet End-to-End w/ Fully Homomorphic Encryption! | Enginears Podcast
Manage episode 448819439 series 2890471
If you're keen to share your story, please reach out to us!
Guest:
https://www.linkedin.com/in/agnes-leroy/
Powered by Artifeks!
https://www.linkedin.com/company/artifeksrecruitment
https://www.linkedin.com/in/agilerecruiter
LinkedIn: https://www.linkedin.com/company/enginearsio
Twitter: https://x.com/Enginearsio
All Podcast Platforms: https://smartlink.ausha.co/enginears
00:00 - Enginears Intro.
00:48 - Agnès & Zama Intro.
01:50 - The journey of Zama from the start.
03:17 - How is Fully Homomorphic Encryption (FHE) different from traditional encryption methods?
04:26 - What made FHE possible in 2009?
05:41 - What is Zama's mission and where is Zama's FHE being utilised?
06:53 - Where is FHE being applied in the market today and why?
10:25 - Where are the biggest challenges in protecting data at the moment?
11:35 - How do you make the computations x100 faster?
12:59 - Where are the performance challenges for AI?
14:07 - Why is it so costly to run and train LLMs?
15:11 - How & why are Zama using Rust + other technologies?
16:58 - Decisions when choosing what technologies to use - how to go about choosing?
18:54 - Problems Agnès & the Zama GPU team are solving today.
21:24 - Zama's current environment and the type of people they are trying to attract (hiring & growing plans).
24:47 - Agnès & Zama Outro.
25:48 - Enginears Outro.
Edited by: hunterdigital.co.uk
Hosted by Ausha. See ausha.co/privacy-policy for more information.
137 episodi
Manage episode 448819439 series 2890471
If you're keen to share your story, please reach out to us!
Guest:
https://www.linkedin.com/in/agnes-leroy/
Powered by Artifeks!
https://www.linkedin.com/company/artifeksrecruitment
https://www.linkedin.com/in/agilerecruiter
LinkedIn: https://www.linkedin.com/company/enginearsio
Twitter: https://x.com/Enginearsio
All Podcast Platforms: https://smartlink.ausha.co/enginears
00:00 - Enginears Intro.
00:48 - Agnès & Zama Intro.
01:50 - The journey of Zama from the start.
03:17 - How is Fully Homomorphic Encryption (FHE) different from traditional encryption methods?
04:26 - What made FHE possible in 2009?
05:41 - What is Zama's mission and where is Zama's FHE being utilised?
06:53 - Where is FHE being applied in the market today and why?
10:25 - Where are the biggest challenges in protecting data at the moment?
11:35 - How do you make the computations x100 faster?
12:59 - Where are the performance challenges for AI?
14:07 - Why is it so costly to run and train LLMs?
15:11 - How & why are Zama using Rust + other technologies?
16:58 - Decisions when choosing what technologies to use - how to go about choosing?
18:54 - Problems Agnès & the Zama GPU team are solving today.
21:24 - Zama's current environment and the type of people they are trying to attract (hiring & growing plans).
24:47 - Agnès & Zama Outro.
25:48 - Enginears Outro.
Edited by: hunterdigital.co.uk
Hosted by Ausha. See ausha.co/privacy-policy for more information.
137 episodi
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