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AI Podcasts

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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January 8, 2026

AI, markets, and power: A conversation with Paul Krugman

Azeem Azhar

AI
Key Takeaways:
  1. Capital is replacing labor as the primary driver of productivity.
  2. Prioritize investments in incumbents with massive distribution or lean startups that swap payroll for compute.
  3. The US remains the primary engine of growth but the internal divide between tech hubs and the hinterland will widen as AI concentrates wealth.
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January 9, 2026

Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith

Latent Space

AI
Key Takeaways:
  1. The decoupling of parameter count from active compute via sparsity means intelligence is becoming a software optimization problem as much as a hardware one.
  2. Audit your agentic workflows for turn efficiency rather than just cost per token.
  3. In a world of infinite tokens, the winner is the one who can verify the truth the fastest.
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January 7, 2026

Marc Andreessen's 2026 Outlook: AI Timelines, US vs. China, and The Price of AI

a16z

AI
Key Takeaways:
  1. The transition from "adding machines" to "human cognition" models is an 80-year correction finally hitting the vertical part of the S-curve.
  2. Prioritize application-specific models that backward-integrate into the stack.
  3. AI is a physical and digital build-out that will define the next decade of global power.
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January 6, 2026

Who Controls AI's Future? The Battle for GPU Access | CoreWeave SVP

Weights & Biases

AI
Key Takeaways:
  1. The transition from general-purpose compute to specialized AI infrastructure mirrors the rise of Snowflake in the data era.
  2. Audit your current cloud spend to identify where generalist latency is throttling your GPU goodput.
  3. Performance bars move every two years. If your infrastructure isn't purpose-built for AI today, you will be priced out of the market tomorrow.
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January 5, 2026

Welcome to AIE CODE - Jed Borovik, Google DeepMind

AI Engineer

AI
Key Takeaways:
  1. The Macro Pivot: The transition from LLMs as chat interfaces to LLMs as logic engines. As models move from text prediction to logic execution, the value moves from the model itself to the verification systems surrounding it.
  2. The Tactical Edge: Audit the stack. Prioritize the integration of agentic coding tools like Jules to shorten the feedback loop between ideation and deployment.
  3. The Bottom Line: Code is the only medium where AI can self-correct and scale without human intervention. The next 12 months will be defined by who can turn raw model power into reliable, self-healing code.
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January 5, 2026

Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic

AI Engineer

AI
Key Takeaways:
  1. Moving from "Model-as-a-Service" to "Environment-as-a-Service" where the harness matters as much as the weights.
  2. Replace your bespoke API tools with a single bash tool. Use a well-structured file system.
  3. The next year belongs to builders who stop treating LLMs as chatbots. They will treat them as system administrators.
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Crypto Podcasts

December 26, 2025

2025 Year in Review

Bell Curve

Crypto
Key Takeaways:
  1. The transition from "Infra-as-an-Asset" to "Infra-as-a-Service" means valuations will now track real cash flows rather than speculative multiples.
  2. Prioritize protocols that pivot to B2B strategies or vertical integration.
  3. The next 12 months will reward those who build for users rather than for the "crypto-native" echo chamber.
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December 26, 2025

Keith Singery & Garrett Oetken: TAO.com Wallet, Bittensor, TAO Flow, Governance, Subnets | Ep. 77

Ventura Labs

Crypto
Key Takeaways:
  1. The Macro Transition: Capital is migrating from passive staking to active participation in specific intelligence commodities.
  2. The Tactical Edge: Audit the founders behind subnets before swapping tokens.
  3. The Bottom Line: Bittensor is becoming a modular AI stack where the value lies in the integration of specialized subnets rather than isolated performance.
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December 26, 2025

2025 Crypto Year in Review, Part 1: Shit Talking Edition

Unchained

Crypto
Key Takeaways:
  1. The industry is moving from speculative points to protocol revenue.
  2. Monitor L2 sequencer revenue models.
  3. 2025 is the year crypto stopped pretending and started building businesses.
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December 26, 2025

Our 2026 Crypto Predictions

Empire

Crypto
Key Takeaways:
  1. The AI capex cycle is the new North Star for crypto liquidity. If next-gen chips underdeliver, the risk-off contagion will hit crypto first.
  2. Accumulate blue-chip DeFi protocols like Aave or Morpho. These middlemen are better positioned to capture fintech integration than speculative L1s.
  3. 2026 is the year crypto stops selling potential and starts selling efficiency. Survival depends on being close to the customer.
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December 26, 2025

How To Fix Crypto's Token Dilemma

Lightspeed

Crypto
Key Takeaways:
  1. The Macro Trend: The transition from passive liquidity to proactive, infrastructure-integrated market making.
  2. The Tactical Edge: Prioritize protocols that control the issuance layer rather than those just providing a venue for existing assets.
  3. The Bottom Line: Liquidity is a commodity, but distribution and issuance are the only durable moats in a high-speed SVM environment.
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December 26, 2025

Where Solana is Better Than Bitcoin & Ethereum

The DCo Podcast

Crypto
Key Takeaways:
  1. The transition from "Store of Value" to "Medium of Utility." As networks mature, the market will value throughput and censorship resistance over simple supply caps.
  2. Allocate capital toward ecosystems with the highest developer activity and transaction density. Focus on chains building hardware-level censorship resistance rather than those just tweaking economic parameters.
  3. The next three years will prove that the most useful tool wins the money war. If Solana achieves its roadmap, its asset becomes the default unit of account for the digital economy.
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