Amarjot Singh with Jason Barnard on Fastlane Founders And Legacy. Building Adaptive AI Podcast By cover art

Amarjot Singh with Jason Barnard on Fastlane Founders And Legacy. Building Adaptive AI

Amarjot Singh with Jason Barnard on Fastlane Founders And Legacy. Building Adaptive AI

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 Amarjot Singh talks with Jason Barnard about building adaptive AI. Amarjot Singh, founder and CEO of Skylark Labs, talks with Jason Barnard about how machines can be taught to learn like humans, the complexities of building true autonomy, and why long-term memory systems are critical to progress. Amarjot Singh shares his journey with Jason Barnard from academic research to launching a commercial AI company in the defense sector. He shares the realities of navigating long sales cycles, hiring for highly specialized roles, and creating a mission-driven team culture. They also touch on the continuous evolution of AI memory systems and the strategic partnerships needed to thrive in defense innovation. Amarjot Singh envisions a future just 5 to 10 years away — one where digital beings don’t just exist, but learn, adapt, and coexist alongside humans. What you’ll learn from Amarjot Singh 00:00 Amarjot Singh and Jason Barnard 01:48 What is the Gemini Result for Amarjot Singh, According to Jason Barnard? 02:09 Why is the Deep Research That Jason Barnard Made for Amarjot Singh So Long? 03:08 What Happens When Jason Barnard Asks Gemini to Access Information Beyond Its Hippocampus Memory? 03:47 How Should You Feel About Google Using Academic Data to Shape Your Online Identity in AI? 04:32 How Should You Convince Investors to See You as Both Academically Credible and Profitable? 04:55 How Did Amarjot Singh Move From Academic Research to Building a Commercial AI Company for Defense? 05:07 Why is Cambridge a Great Place for Building Fundamental Technologies? 05:14 Why Should You Aim to Simplify How Machines Make Sense of the World Like the Brain and Children Do? 06:08 What is the Difference Between How AI and a Child React to Situations They Have Never Encountered? 06:22 What is Missing in Traditional AI Systems That Amarjot Singh is Trying to Address in His Company? 07:20 Why is Adaptive AI Particularly Valuable in Defense Systems? 07:57 How Does the Approach of Amarjot Singh to AI Differ From Simply Replicating the Human Brain? 08:04 What Learning Capabilities Are Being Replicated in AI to Make it More Efficient and Adaptive? 09:13 What is the Difference Between Short and Long Answers When it Comes to Retaining Information? 09:28 What Happens When You Add New Content to Your Website? 10:17 How Does Credibility Affect the Confidence in Information of a Machine? 10:43 Why is the Credibility of Information Important? 11:38 Why is Memory Considered Continuous Instead of Being Short-Term and Long-Term? 12:18 Why is Frequency and Recency Important When Encoding Information? 12:39 What Factors Influence How We Retain Knowledge? 13:11 How Does the Knowledge Graph Determine the Importance Between Pieces of Information? 14:43 How Do You Deal With the Long Sales Cycles in the Defense Industry? 16:06 How Do You Find People Smart and Skilled Enough to Handle the Highly Complex Work of Your Business? 17:01 What Impact Does Giving People the Freedom to Choose Their Work Have On Your Company? 18:16 How Do You Protect Your Intellectual Property When Working Across Different Countries? 19:43 How Much Has AI Development Been Influenced by the Brain? 20:58 How Fast Do You Think AI Technology Will Evolve in the Future? This episode was recorded live on video May 13th 2025 https://www.youtube.com/watch?v=1h_cH4xRqCw Links to pieces of content relevant to this topic:https://www.youtube.com/watch?v=xD6RR3Om8bchttps://www.theverge.com/2018/6/6/17433482/ai-automated-surveillance-drones-spot-violent-behavior-crowdshttps://www.innovatorsunder35.com/the-list/amarjot-singh/Amarjot Singh Transcript from Amarjot Singh with Jason Barnard on Fastlane Founders And Legacy. Building Adaptive AI [00:00:00] Amarjot Singh: We do a lot of difficult deployments. We go to the desert, we go into the sea. Sometime it's fun, sometime it's not.
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