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Episode 25: Rachel StClair - Scalable AGI

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Contenido proporcionado por Mindplex Podcast. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Mindplex Podcast o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

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Simuli CEO Rachel StClair explains how holographic compression will vastly revolutionize data processing and the importance of using standardized protocols to pave the way for Superintelligent AGI and quantum computing.
Simuli is working on a new compression software that allows any data to be compressed into a holographic representation called a “Nebu” file. These Nebu files can be decompressed to reconstruct the pre-compressed data 100% flawlessly. It is data agnostic, verifiably lossless, and standardizes the data for direct computation without decompression.
Their holographic compression software allows direct computation without decompression. Computing in compressed form is more climate friendly AI, leading to 3x power reduction, massive reduction in memory requirements, and online processing prowess. These neuro-inspired learning algorithms leverage emerging hardware for fully autonomous, human understandable AI systems.
Opencog, TrueAGI and Simuli are collaborating on an OpenCog pattern matching chip.
About Rachel StClair:
Rachel St.Clair is an AI scientist and entrepreneur who after receiving her PhD in complex systems and Brain Sciences and went on to co-found the AGI hardware company Simuli (https://www.simuli.ai/), making processors that use advanced math and an innovative hardware layout to process more information per transistor by compressing information before processing. Rachel envisions an AGI as a computer system which can outperform human abilities in nearly all tasks while helping humanity avoid existential risks.
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36 episodios

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Manage episode 408401422 series 3448018
Contenido proporcionado por Mindplex Podcast. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Mindplex Podcast o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Send us a text

Simuli CEO Rachel StClair explains how holographic compression will vastly revolutionize data processing and the importance of using standardized protocols to pave the way for Superintelligent AGI and quantum computing.
Simuli is working on a new compression software that allows any data to be compressed into a holographic representation called a “Nebu” file. These Nebu files can be decompressed to reconstruct the pre-compressed data 100% flawlessly. It is data agnostic, verifiably lossless, and standardizes the data for direct computation without decompression.
Their holographic compression software allows direct computation without decompression. Computing in compressed form is more climate friendly AI, leading to 3x power reduction, massive reduction in memory requirements, and online processing prowess. These neuro-inspired learning algorithms leverage emerging hardware for fully autonomous, human understandable AI systems.
Opencog, TrueAGI and Simuli are collaborating on an OpenCog pattern matching chip.
About Rachel StClair:
Rachel St.Clair is an AI scientist and entrepreneur who after receiving her PhD in complex systems and Brain Sciences and went on to co-found the AGI hardware company Simuli (https://www.simuli.ai/), making processors that use advanced math and an innovative hardware layout to process more information per transistor by compressing information before processing. Rachel envisions an AGI as a computer system which can outperform human abilities in nearly all tasks while helping humanity avoid existential risks.
FOLLOW Mindplex Podcast:
WEBSITE → https://magazine.mindplex.ai/
Mindplex News → https://magazine.mindplex.ai/news/
Mindplex TWITTER → https://twitter.com/Mindplex_ai/
FACEBOOK → https://www.facebook.com/MindplexAI/
YOUTUBE → https://www.youtube.com/@mindplexpodcast/
Spotify → https://open.spotify.com/show/3RbGNlj9SX8rYOVblnVnGg/

  continue reading

36 episodios

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