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AI Podcasts

January 13, 2026

It's Time To Build

a16z

AI
Key Takeaways:
  1. The Macro Shift: Infrastructure Invisibility. As core technologies become background noise, value moves from the pipes to the unique experiences built on top of them.
  2. The Tactical Edge: Reject Mediocrity. Audit your product for average features and replace them with high-conviction improvements that competitors are too lazy to attempt.
  3. The Bottom Line: Building is the only way to ensure the future happens. If you do not create the next version of reality, you are stuck living in an outdated vision.
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January 13, 2026

Nothing’s Carl Pei on Building a $1B Smartphone Company and Why He Thinks About Death Every Week

The Generalist

AI
Key Takeaways:
  1. The transition from hardware specs to emotional hardware where brand identity and OS-native AI become the primary moats.
  2. Prioritize arbitrage opportunities in marketing by finding underpriced attention on platforms like TikTok before they become crowded.
  3. Success in mature markets requires a Genghis Khan method: be a talent scout, stay open-minded to global supply chains, and use design to win the emotional battle for the consumer's pocket.
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January 12, 2026

Nvidia CES 2026

Semi Doped

AI
Key Takeaways:
  1. The transition from centralized cloud training to distributed local inference creates a massive demand for high-bandwidth storage and custom CPUs.
  2. Audit your technical roadmap to prioritize local agentic workflows that reduce latency and data privacy risks.
  3. The next 12 months will favor hardware that enables physical AI and local autonomy. Owning the compute stack is becoming a competitive necessity for builders who want to move faster than the cloud allows.
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January 9, 2026

Spec-Driven Development: Sharpening your AI toolbox - Al Harris, Amazon Kiro

AI Engineer

AI
Key Takeaways:
  1. The transition from "vibe coding" to "spec-driven" engineering.
  2. Implement EARS-formatted requirements in your AI prompts.
  3. Determinism is the ultimate feature for AI-assisted development.
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January 8, 2026

Post-training best-in-class models in 2025

Weights & Biases

AI
Key Takeaways:
  1. Intelligence is decoupling from scale. As reasoning becomes a commodity, the value moves from the size of the model to the proprietary nature of the training data.
  2. Use TRL or Unsloth for single-GPU fine-tuning. Prioritize cleaning your instruction sets over increasing your training iterations.
  3. The future belongs to those who own their data pipelines. If you can distill elite reasoning into a 350M parameter model, you win on latency, cost, and privacy.
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January 8, 2026

Intelligent Robots in 2026: Are We There Yet? [Nikita Rudin] - 760

The TWIML AI Podcast with Sam Charrington

AI
Key Takeaways:
  1. Moving from Blind Locomotion to Semantic Navigation defines the next frontier.
  2. Prioritize modular architectures that use off-the-shelf VLMs for task orchestration.
  3. Expect the first value-positive humanoid deployments in late 2026.
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January 8, 2026

Automating Large Scale Refactors with Parallel Agents - Robert Brennan, AllHands

AI Engineer

AI
Key Takeaways:
  1. Software maintenance is moving from a manual craft to an industrial process. As agents handle the toil of migrations and security, human engineers will focus entirely on high-level system design.
  2. Batch by Dependency. Use the OpenHands SDK to visualize your codebase as a graph and deploy agents to solve the leaf nodes first.
  3. Companies that master agent orchestration will clear their tech debt backlogs in weeks instead of years, creating a massive competitive advantage in product velocity.
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January 8, 2026

DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners

AI Engineer

AI
Key Takeaways:
  1. The Macro Trend: Software is moving from imperative instructions to declarative goals.
  2. The Tactical Edge: Port your most expensive GPT-4 prompts to DSPy signatures and run them through a BootstrapFewShot optimizer.
  3. The Bottom Line: Brittle prompts are the new technical debt. Building with a declarative framework ensures your system improves as models get cheaper.
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January 9, 2026

Spec-Driven Development: Sharpening your AI toolbox - Al Harris, Amazon Kiro

AI Engineer

AI
Key Takeaways:
  1. We are moving from probabilistic prompting to neurosymbolic reasoning where the LLM is a component of a larger structured system.
  2. Install MCP servers for your specific documentation and task trackers. Ground your agent in reality to reduce the manual verification loop.
  3. Engineering rigor is returning to the AI era. Builders who adopt structured workflows will outpace those stuck in the "prompt and pray" cycle.
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Crypto Podcasts

February 28, 2025

How Blackbird Is Unlocking Crypto's App Ecosystem | Ben Leventhal & Jesse Walden

Lightspeed

Crypto

Key Takeaways:

  • :
  • 1. Blackbird is pioneering a blockchain-based loyalty and payment system that could redefine restaurant economics by eliminating costly intermediaries.
  • 2. The dual-token system of Fly and F2 ensures both consumer engagement and network governance, offering a unique value proposition.
  • 3. For developers and investors, Blackbird exemplifies how blockchain can be leveraged to create real-world value and user ownership, setting a precedent for future applications.
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February 28, 2025

How To Win in Crypto Investing with Akshat Vaidya

The Rollup

Crypto

Key Takeaways:

  • :
  • 1. Understanding the cyclical nature of crypto markets is essential for strategic investment. Deploying capital during downturns can lead to significant gains.
  • 2. Integrity, humility, and adaptability are critical traits for founders seeking long-term success in the crypto space.
  • 3. Investors should focus on deep research to identify undervalued opportunities, particularly in DeFi and real-world assets.
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February 27, 2025

Kaito’s Airdrop: Genius or Giveaway Gone Wrong? | Analyst Round Table

0xResearch

Crypto

Key Takeaways:

  • :
  • 1. Bybit’s Large-Scale Hack Highlights the Need for Robust Security: The $1.4 billion ETH breach underscores the importance of advanced security measures and resilient infrastructure in preventing and mitigating massive crypto exploits.
  • 2. Sustainable Airdrop Models are Crucial for Long-Term Success: Kaido’s extensive airdrop strategy reveals the tension between immediate community engagement and the necessity for sustainable token distribution practices to ensure lasting protocol viability.
  • 3. Regulatory Clarity Will Shape the Future of Token Launches: As regulatory bodies like the SEC begin to provide clearer guidelines, the crypto industry must adapt to new rules that can legitimize token offerings and foster a more stable market environment.
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February 27, 2025

Why MegaETH Leaves Consensus to Ethereum

The DCo Podcast

Crypto

Key Takeaways:

  • :
  • 1. Enhanced Security through Ethereum: By outsourcing consensus to Ethereum, MegaETH leverages a highly secure and decentralized network, minimizing vulnerabilities associated with centralized consensus mechanisms.
  • 2. Performance Optimization: Avoiding its own consensus process allows MegaETH to reduce latency and boost transaction speeds, making it a high-performance blockchain solution.
  • 3. Strategic Leveraging of Established Protocols: Developers and investors should consider the benefits of utilizing established consensus protocols like Ethereum’s to ensure robust security while focusing on other aspects of blockchain performance.
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February 25, 2025

The State Of Crypto & AI | Illia Polosukhin & Bowen Wang

Lightspeed

Crypto
AI
Infrastructure

Key Takeaways:

  • :
  • 1. NEAR is pioneering a unified blockchain infrastructure integrating AI, eliminating the need for multiple chains and enhancing user experience.
  • 2. The launch of NEAR 2.0 with fully sharded architecture and reduced block times positions NEAR as a scalable and high-performance blockchain platform.
  • 3. NEAR’s focus on chain abstraction and Trusted Execution Environments sets it apart from other blockchain and Layer 2 solutions, offering a more seamless and secure user experience.
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February 25, 2025

Futarchy Deep Dive: Can Markets Make Better Decisions? | Proph3t

Bell Curve

Crypto
AI
Others

Key Takeaways:

  • :
  • 1. Futarchy harnesses market efficiency to potentially outperform traditional governance in decision-making.
  • 2. Crypto’s regulatory resistance is essential for implementing innovative governance models like futarchy.
  • 3. Enhanced liquidity and decentralized capital formation are critical for the scalability and success of futarchy-based organizations.
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