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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 If you do not create the next version of reality, you are stuck living in an outdated vision.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

November 14, 2025

State of The Market, Monad's ICO & The Stablecoin Gold Rush | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. **Corporates are building walled gardens.** Major players are leveraging public chains to create ecosystems they control, launching the "corporate chain meta" where activity is pulled onto proprietary networks like Base.
  2. **Stablecoin M&A is white-hot, but frothy.** The frantic rush to acquire stablecoin infrastructure is driven by stock market optics as much as strategy, echoing the 2017 "add blockchain to your name" craze.
  3. **Capital formation is returning to regulated US platforms.** Monad's ICO on Coinbase, offering zero lockups for US investors, sets a new precedent for compliant token launches and challenges the dominance of offshore exchanges.
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November 14, 2025

Is The Crypto Bull Market Already Over?

Bankless

Crypto
Key Takeaways:
  1. The Fee Switch Is On. Uniswap's pivot to real-yield tokenomics is a watershed moment. Expect other DeFi protocols to follow, finally aligning token value with protocol success and rewarding long-term holders over mercenaries.
  2. Onshore ICOs Are Back. Coinbase’s new token sales platform for US retail is a massive signal that the industry believes the regulatory tide has turned. This could unlock a new wave of capital and mainstream participation.
  3. Privacy Is A High-Stakes Gamble. While the market is rewarding privacy tokens, the 5-year prison sentence for a wallet developer is a brutal reminder of the risks. Until clear rules are established, building privacy tools in the US remains legally treacherous.
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November 13, 2025

Hash Rate - Ep 144 - SCORE Subnet 44

Hash Rate pod - Bittensor $TAO & Subnets

Crypto
Key Takeaways:
  1. Privacy is Paramount. SCORE’s use of TEEs for a private data track is the key that unlocks enterprise adoption, proving that decentralized networks can handle sensitive information securely.
  2. The 1/10th Price Model Wins. Leveraging Bittensor’s incentive structure allows subnets to radically undercut legacy competitors on price without sacrificing quality, opening up previously inaccessible markets.
  3. Tie Rewards to Revenue. The most sustainable tokenomic model directly links network emissions to real-world cash flow, ensuring the subnet's economy is grounded in tangible business success, not just speculation.
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November 12, 2025

Lean Ethereum: How L1 Reaches 10k TPS | Beast Mode & Fort Mode

Bankless

Crypto
Key Takeaways:
  1. **Ethereum's New Offense:** Lean Ethereum marks a strategic pivot from a defensive, decentralization-first posture to an offensive "Beast Mode," targeting 10,000 TPS on L1—a 500x increase—to become the settlement layer for all of finance.
  2. **The Validator Role is Evolving:** The future validator will verify tiny cryptographic proofs on cheap hardware (like a smartphone), not execute massive blocks. This radical shift, enabled by ZK-EVMs, simultaneously boosts scale and decentralization.
  3. **L1 Scaling is Now Possible Without Centralization:** Unlike competitors who scale by using powerful hardware in data centers, Ethereum's use of SNARKs allows it to scale L1 while *decreasing* hardware requirements, reinforcing its core value proposition.
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November 11, 2025

Hash Rate - Ep 142 - Targon (Subnet 4) Update

Hash Rate pod - Bittensor $TAO & Subnets

Crypto
Key Takeaways:
  1. Proof-of-Work Is Now Verifiable. Targon’s TVM introduces a new primitive for Bittensor, making "proof of useful work" cryptographically verifiable. This technology could become the network’s standard, eliminating fraud and ensuring capital flows to genuine contributors.
  2. The Internal Economy Is the Main Event. The focus has shifted from attracting external enterprise clients to building a robust, circular economy within Bittensor. The success of one subnet directly benefits others, creating a powerful collaborative incentive structure.
  3. Bittensor Is Playing the Long Game Against Centralized AI. The strategy is clear: build a resilient, hyper-efficient decentralized alternative while centralized AI players burn through unsustainable amounts of capital. When the market turns, Bittensor aims to be the "black hole" that absorbs the distressed compute assets.
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November 7, 2025

Finding Alpha In Crypto, Mamdani Wins & The AI Gold Rush | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. **Ditch the Alts, Buy the Adopters.** The most compelling risk/reward is no longer in L1 tokens but in publicly traded companies effectively integrating blockchain. Think Stripe and Robinhood, not the 25th-largest token on CoinMarketCap.
  2. **Follow the Gamble.** The "gambling energy" from disillusioned younger generations is a powerful market force. That capital has pivoted from crypto to AI. The best trades lie in narratives that capture this retail attention.
  3. **Conviction Over Diversification.** In a market with no consensus, holding a portfolio of "pretty good" assets is a losing strategy. Raise cash by cutting low-conviction plays and concentrate firepower in your highest-conviction ideas.
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