10 Hours of Listening.
5 Minutes of Reading.

Deep dives into the conversations shaping the future of AI, Robotics & Crypto.

Save hours of your time each week with our podcast aggregator

🔍 Search & Filter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

AI Podcasts

December 15, 2025

Building in the Gemini Era – Kat Kampf & Ammaar Reshi, Google DeepMind

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: The value in software development shifts from manual coding to high-level architectural design and prompt engineering.
  2. Builder/Investor Note: Experiment with AI Studio's agentic and design capabilities. Focus on describing desired functionality rather than low-level code.
  3. The "So What?": The next 6-12 months will see a surge in AI-powered, full-stack applications built by a broader range of creators, disrupting traditional development paradigms.
See full notes
December 16, 2025

What We Learned Deploying AI within Bloomberg’s Engineering Organization – Lei Zhang, Bloomberg

AI Engineer

AI
Key Takeaways:
  1. Strategic Shift: AI's impact extends beyond simple productivity. The real opportunity lies in fundamentally changing the cost function of engineering, making previously expensive or undesirable tasks cheap and feasible.
  2. Platform Imperative: For large organizations, a "golden path" platform is not optional. It's how you manage complexity, ensure quality, and scale AI adoption safely and efficiently.
  3. Human-Centric Adaptation: Technology is only half the battle. Investing in cultural adaptation, community building, and leadership training is crucial for realizing AI's full potential.
See full notes
December 16, 2025

Your Support Team Should Ship Code – Lisa Orr, Zapier

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: Companies integrating AI-driven code generation into non-engineering roles will see significant efficiency gains and improved product reliability.
  2. Builder/Investor Note: Focus on building AI tools that deeply embed into existing workflows. Orchestration of multiple AI tools into an agent-like system is key for adoption and value.
  3. The "So What?": The next 6-12 months will see a redefinition of "support" from reactive reporting to proactive, code-shipping problem-solving, unlocking new talent pools and accelerating development cycles.
See full notes
December 16, 2025

Finding The 1% of Stocks That Matter | Henry Ellenbogen Interview

Invest Like The Best

AI
Key Takeaways:
  1. Strategic Implication: The AI era will disproportionately reward existing businesses that deeply integrate AI to create unassailable cost structures, not just new AI-native ventures.
  2. Builder/Investor Note: Seek out resilient "Act II" leaders who embrace the "and" business—growth, innovation, and profitability—and are willing to navigate public market scrutiny for long-term alignment.
  3. The "So What?": Over the next 6-12 months, expect market volatility to create opportunities to invest in disciplined companies leveraging AI for fundamental operational shifts, rather than just hype.
See full notes
December 15, 2025

The Renaissance of the American Factory | a16z 2026 Big Ideas

a16z

AI
Key Takeaways:
  1. Strategic Implication: The next wave of industrial growth will come from applying manufacturing principles to large-scale infrastructure, not just consumer goods.
  2. Builder/Investor Note: Focus on companies that are standardizing designs and processes for physical assets, particularly those leveraging AI to navigate regulatory complexity and accelerate deployment.
  3. The "So What?": The rapid build-out of data centers is a live experiment for a broader industrial renaissance, providing a blueprint for how America can rebuild its capacity to build at scale over the next 6-12 months.
See full notes
December 16, 2025

⚡️Jailbreaking AGI: Pliny the Liberator & John V on Red Teaming, BT6, and the Future of AI Security

Latent Space

AI
Key Takeaways:
  1. Strategic Implication: The "AI safety" narrative is shifting from content moderation to systemic security. Focus on hardening the entire AI ecosystem, not just restricting model outputs.
  2. Builder/Investor Note: Be wary of "AI security" products that claim to "secure the model" through guardrails. These are likely security theater. Invest in full-stack AI security solutions, red teaming services, and platforms that facilitate open-source adversarial research.
  3. The "So What?": The future of AI security is not about building higher walls around models, but about understanding and hardening the entire ecosystem in which they operate. Open collaboration and adversarial testing are the fastest paths to robust AI.
See full notes
December 15, 2025

Evolving Large Language Model Evaluation: Practices and Insights from the Swallow Project

Weights & Biases

AI
Key Takeaways:
  1. Strategic Implication: The quality and sophistication of LLM evaluation frameworks are now as critical as the models themselves. This is a foundational layer for AI progress.
  2. Builder/Investor Note: Builders must adopt adaptive evaluation. Investors should scrutinize how LLM performance is measured, not just the headline numbers.
  3. The "So What?": As LLMs gain complex reasoning and instruction-following abilities, evaluation frameworks that can accurately measure these capabilities will be essential for identifying true innovation and avoiding misallocated resources in the next 6-12 months.
See full notes
December 15, 2025

LLM Research and Development Initiatives at the National Institute of Informatics

Weights & Biases

AI
Key Takeaways:
  1. Sovereign AI is Real: Nations are investing in domestic AI capabilities to counter linguistic bias and ensure data control. This creates opportunities for specialized models and infrastructure.
  2. Builder's Edge: Meticulous parameter tuning, high-quality data curation, and innovative architectures like MoE are crucial for achieving top-tier LLM performance.
  3. The Agentic Future: AI agents are rapidly becoming indispensable tools in research and education, demanding robust, reliable, and culturally relevant LLM backbones.
See full notes
December 15, 2025

Coding Evals: From Code Snippets to Codebases – Naman Jain, Cursor

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: The future of AI code generation hinges on dynamic, robust evaluation systems that adapt to evolving model capabilities and detect sophisticated exploitation.
  2. Builder/Investor Note: Invest in or build evaluation infrastructure that incorporates dynamic problem sets, LLM-driven hack detection, and granular, human-centric metrics.
  3. The "So What?": Relying on static benchmarks is a losing game. The next 6-12 months will see a push towards more sophisticated, real-world-aligned evaluation methods, separating genuinely capable models from those that merely game the system.
See full notes

Crypto Podcasts

January 7, 2026

Pudgy Penguins’ Luca Netz on the Mistake Crypto Keeps Making

The DCo Podcast

Crypto
Key Takeaways:
  1. The Macro Pivot: We are moving from a world where everything must be decentralized to a bifurcated model where some chains secure value and others power commerce.
  2. The Tactical Edge: Abstract the infrastructure by building applications that hide the wallet and gas fees behind a familiar Web2 login.
  3. The Bottom Line: Mass adoption requires a "centralized" user experience powered by a "decentralized" rail to survive the next 12 months.
See full notes
January 6, 2026

Where To Allocate In 2026 | Matty Taylor

Lightspeed

Crypto
Key Takeaways:
  1. The Macro Shift: Sovereign assets are moving from tokenized versions of old equities to entirely new primitives that offer better governance and transparency.
  2. The Tactical Edge: Ditch the SAFE and Token Warrant combo for the Stamp to align early investors with long-term token health.
  3. The Bottom Line: The next year will reward founders who embrace public-market transparency and technical experiments over those chasing the current meta.
See full notes
January 6, 2026

Markets React to U.S. Capture of Maduro

Unchained

Crypto
Key Takeaways:
  1. Production for Security. As globalization fractures, the US is trading ESG idealism for hard-asset reality.
  2. Buy Energy Infrastructure. Focus on SMR nuclear and solar companies that bypass traditional regulatory bottlenecks.
  3. Dollarized tech. This secures the energy needed for the AI and crypto buildout over the next decade.
See full notes
January 5, 2026

Bitcoin’s Back, Venezuela Regime Change, Memecoins, 2026 Mega Trends

1000x Podcast

Crypto
Key Takeaways:
  1. The Macro Transition: Geopolitical realignment is turning Bitcoin from a speculative asset into a tool of statecraft.
  2. The Tactical Edge: Buy Bitcoin calls dated for late January to capture the $125k target.
  3. The Bottom Line: The next six months will reward those who recognize that the "printing money" era has evolved into a "seizing assets" era.
See full notes
January 5, 2026

Inside SharpLink's Massive Ethereum Bet With CEO Joseph Chalom

The Rollup

Crypto
Key Takeaways:
  1. The migration from "Crypto" to "Digital Finance" where the underlying tech becomes invisible.
  2. Audit your protocol's risk disclosures. Prioritize security and third-party code reviews to attract institutional capital.
  3. Ethereum is the leading candidate for the world's financial operating system because it has ten years of zero downtime and a massive validator base.
See full notes
January 5, 2026

How the Stablecoin Milkshake will Redollarize the World

Bankless

Crypto
Key Takeaways:
  1. The US is moving from "analog" dollar dominance to a high-velocity digital network that absorbs global liquidity faster than ever.
  2. Maintain exposure to US equities and gold while keeping dollar-denominated cash in short-term bonds to capitalize on the next volatility spike.
  3. The dollar isn't dying; it is being upgraded. Expect the "Milkshake" to suck up global capital as foreign economies struggle with debt and declining growth.
See full notes