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Srini Pagidyala
Co-Founder of Aigo.ai and seasoned leader in AI and digital transformation
Srini Pagidyala is the Co-Founder and Chief Value Officer at Aigo.ai, a company focused on developing advanced conversational AI technology. He has been with Aigo.ai since May 2018, where he aims to create a new category of "Chatbot with a Brain," designed to deliver hyper-personalized conversational experiences for large enterprises and their customers.1
Professional Background
Before Aigo.ai, Pagidyala served as a CEO and Co-Founder of a Big Data Analytics company from November 2006 to March 2016, where he significantly grew the business and engaged with Fortune 300 companies. He has also worked as a Board Advisor and Author, helping startups and large enterprises with digital transformation and growth strategies.1
Education and Recognition
Pagidyala holds a Bachelor of Technology degree from Sri Venkateswara University and has furthered his education at Harvard Business School through HBX. He has received several accolades, including recognition from SAP for his contributions to analytics solutions and the growth of SAP HANA in North America.1
Skills and Languages
He is proficient in multiple languages, including Hindi, Telugu, and English, and has a strong background in digital transformation, analytics, and business strategy.1
Highlights
No amount of scaling (throwing billion$ for computation & trillions of words) would help LLMs achieve the two key cognitive capabilities that make human intelligence so special:
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Learn - Autonomously, Adaptively, Conceptually, Contextually & Incrementally.
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Reason - Conceptually, Contextually & Metacognitively
We discussed the criticality of this in greater detail here: https://lnkd.in/ggZm_W-w
It is for this reason, LLMs can never get us to AGI: https://lnkd.in/d3vEPJ2P
So, what will get us to AGI: https://lnkd.in/ggFTxuUz
It's no wonder Demis Hassabis, CEO of Google DeepMind said this about LLMs Intelligence on July 9, 2024 at the Future of Britain Conference hosted by Tony Blair:
“We’re still not even at cat intelligence yet, as a general system,” https://lnkd.in/gtyQNZyc
It is great to see Yann LeCun arriving at the same conclusions about LLMs. https://lnkd.in/gm9Nfe4P
What #AGI really means? What are its implications?
AGI Pioneer Peter Voss shares his insights with Adam Torres from the Mission Matters Media.
Aigo.ai - The Company with a Direct Path to AGI has developed hashtag #INSA – Integrated Neuro-Symbolic Architecture that deeply integrates all the cognitive mechanisms required to achieve human-level intelligence (#AGI) within one uniform architecture.
Real-time Incremental Autonomous Learning (RIAL) is the key to achieving AGI.
This type of learning implies: Contextual, Conceptual & Meta-Cognitive Reasoning and Understanding where the model is adapted on the fly.
Aigo’s #INSA – Integrated Neuro-Symbolic Architecture facilitates Real-time Incremental Autonomous Learning (RIAL) and eliminates the need for massive data and compute requirements among the other limitations of LLMs.
Aigo's #INSA offers the most viable and a direct path to AGI.
There is no ‘I’ in AI without Cognition.
AGI is set to transform the world as profoundly as electricity. https://aigo.ai/imagine/
Watch the full episode: https://lnkd.in/gvj6rCYX
Explore the power of #INSA: https://lnkd.in/ggFTxuUz
Requirements for #AGI: https://lnkd.in/gUyZ4ZZ7
Why LLMs fall short in reaching #AGI: https://lnkd.in/d3vEPJ2P
