• 00:00 – Introduction to Dr. Ala Santos
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• 00:27 – Her journey from Poland to global health innovation
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• 01:12 – Transitioning from academia to real-world impact
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• 02:30 – Patients as the driving force behind innovation
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• 03:38 – AI in science: a tool for expansion, not replacement
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• 06:00 – How AI is reshaping the scientist’s daily workflow
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• 08:00 – Risks of relying on flawed AI outputs
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• 09:50 – Navigating the quality of data fed into AI
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• 11:00 – Importance of skepticism in the AI era
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• 12:30 – Moving from in vitro to in silico experimentation
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• 13:32 – Data privacy and IP concerns in healthcare AI
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• 16:00 – AI’s potential to enhance global collaboration
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• 18:00 – How AI could attract new minds to science
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• 21:14 – Bridging the gap between academia and industry
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• 22:03 – Advice: prioritize human networks in a tech-driven world
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• 23:27 – Closing thoughts and gratitude
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00:00 – Meet Daniel White, serial environmental entrepreneur and founder of Gentian and Signal.

00:30 – Daniel shares how childhood birdwatching led to a lifelong passion for nature and ecology.

02:30 – Discussing early innovations like insulating buildings via abseiling and promoting green roofs.

04:00 – Using behavioral science to reduce household energy use through randomized trials.

05:00 – How nudging pilots led to $6M in fuel savings and lower CO₂ emissions for Virgin Atlantic.

07:00 – Building Signal to help pilots and shipping crews become more fuel efficient with data.

09:00 – Introducing Gentian: using AI and satellite imagery to map and monitor biodiversity.

12:30 – Why private sector stakeholders must care about pollination, crop yield, and nature loss.

14:00 – Exploring global legislation pushing biodiversity efforts across industries.

16:00 – Daniel shares entrepreneurial lessons: grit, creativity, and staying grounded.

19:00 – AI is not just helpful—it’s essential for solving the biodiversity crisis at scale.

23:00 – Using data-driven nudges and gamification to encourage eco-friendly decision making.

26:00 – Future outlook: tighter regulations, better satellite tech, and a purpose-driven workforce.

28:30 – Final reflections on hope, collaboration, and building solutions that matter.

In this episode, we sit down with Alon Bochman, a seasoned AI leader and founder of RagMetrics, whose career spans leadership roles at Google, Microsoft, FactSet, and a successful startup exit to Thomson Reuters. Alon breaks down the urgent gaps in AI testing today, why bilateral evaluation between humans and AI is the future, and shares a chilling real-world example of autonomous agents evolving faster than expected.

We dive into why true AGI might be forever elusive (because we keep redefining it), the moral and economic need for universal basic income, and why today's "chatbot phase" is just the first flicker of a much larger AI revolution—akin to the dawn of electricity.

A must-listen for anyone thinking seriously about building with AI, investing in AI, or simply understanding where this tech tidal wave is headed.

• 00:00 – Introduction to Alon Bochman: Ex-Google, Ex-Microsoft, now Founder of RagMetrics
• 00:50 – Journey from fintech to leading AI teams at major tech giants
• 01:50 – The problem no one talks about: Why AI apps often skip real testing
• 03:50 – The three bad choices in AI evaluation today
• 06:12 – How bilateral feedback loops improve AI testing and model reliability
• 08:18 – Human bias in feedback: Lessons learned from FactSet tech support automation
• 13:43 – The importance of read/write knowledge bases to adapt with change
• 15:43 – RagMetrics’ mission: Making AI evaluation scalable and less painful
• 16:08 – Redefining AGI: Why we move the goalposts every time computers get better
• 21:10 – AI’s impact on jobs: Why universal income may become a necessity
• 25:29 – The electricity analogy: How AI will transform industries like a silent revolution
• 27:54 – The scariest AI demo Alon ever saw: Agents that build their own tools
• 32:36 – Using AI personally: Learning, demo generation, and accelerating workflows
• 34:49 – Final advice to entrepreneurs: Just start, but test before you ship

• “If you're not testing your AI today, you're building a bridge without running trucks over it.”
• “AI will never reach AGI—because AGI keeps getting redefined.”
• “Progress is unstoppable. The only question is whether you're the Roomba—or the person programming it.”
• “Testing is the bridge from hobby projects to real-world value.”
• “The scariest thing I saw? An agent learning to create its own tools in 25 lines of code.”

• Alon Bochman on LinkedIn
• RagMetrics Website
• Taran Agarwal on LinkedIn
• Simplify Tech Website