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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

February 2, 2026

Gavin Zaentz & Pranav Ramesh: Leadpoet, Lead Generation, Intent-Driven Sales Automation | Ep. 79

Ventura Labs

Crypto
Key Takeaways:
  1. The shift from centralized, static data aggregation to decentralized, real-time, incentivized intelligence networks is fundamentally changing how data-intensive industries operate.
  2. Investigate subnet opportunities where incumbent data quality is low and validation is a core challenge.
  3. The future of sales is not just about more leads, but smarter, fresher, and more relevant ones.
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February 3, 2026

Gold Crashes, Bitcoin Slides, and the Fed Shock Markets

Unchained

Crypto
Key Takeaways:
  1. The Macro Shift: As trust erodes in traditional financial systems and geopolitical risks rise, capital is flowing towards more efficient, permissionless DeFi markets. This is forcing traditional finance to adapt or lose market share.
  2. The Tactical Edge: Evaluate DATs trading below NAV for potential M&A or activist plays, as these discounts often reflect management misalignment rather than fundamental asset weakness.
  3. The Bottom Line: The current market volatility, Fed policy shifts, and the rise of DeFi are not just noise; they are reshaping capital allocation. Investors and builders must understand these structural changes to position for the next cycle of institutional adoption.
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February 2, 2026

Metals Crash & Bitcoin Breaks $80k

1000x Podcast

Crypto
Key Takeaways:
  1. Global economic uncertainty and tariff threats are triggering a broad risk-off sentiment, creating dislocations where fundamentally strong assets are sold indiscriminately.
  2. Reallocate capital from speculative metals positions into Bitcoin at current levels and high-conviction, revenue-producing crypto platforms like Hyperliquid.
  3. The current market turbulence is separating the signal from the noise. Focus on assets with strong fundamentals and organic usage, as they are poised for significant gains once the broader market stabilizes.
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February 3, 2026

Is BTC A Buy, Metals Crash, Hyperliquid RWAs, New Fed Chair

1000x Podcast

Crypto
Key Takeaways:
  1. Global market indigestion is creating a flight to quality and a re-evaluation of speculative assets. This environment favors fundamentally strong assets and platforms with clear utility over pure FOMO plays.
  2. Consider tax-loss harvesting Bitcoin positions that are out of the money and reallocate to high-conviction, revenue-producing crypto assets like Hyperliquid.
  3. The "crypto portfolio" concept is evolving; focus on individual assets with strong organic usage and mega-trend tailwinds. This strategic shift will differentiate winners from losers in the coming market cycles.
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February 2, 2026

Why BitGo Went Public | Mike Belshe

Empire

Crypto
Key Takeaways:
  1. Regulatory clarity and institutional demand are converging, driving a fundamental re-architecture of financial market infrastructure. This shift will see traditional finance increasingly rely on regulated crypto-native service providers.
  2. Builders and investors should prioritize infrastructure providers that offer robust regulatory compliance and fiduciary protection, as these are the non-negotiable requirements for the next wave of institutional capital.
  3. The digital asset industry is poised for massive growth, driven by Wall Street's entry. Companies like BitGo, by building transparent, regulated infrastructure, are not just participating in this growth; they are actively shaping the future of finance, making now the time to understand these foundational shifts.
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February 2, 2026

Curated Credit: How Maple and Morpho Approach DeFi Lending | Sid Powell & Merlin Egalite

0xResearch

Crypto
Key Takeaways:
  1. Institutional capital is eyeing DeFi, pushing for tokenized real-world assets like private credit and bonds to diversify yield sources beyond crypto-backed loans. This requires robust risk isolation at the smart contract level and a new generation of independent risk assessors to bridge TradFi and DeFi.
  2. Prioritize protocols that offer explicit risk profiles and transparent fee structures, especially those building towards intent-based lending. For builders, focus on creating infrastructure that supports isolated risk and attracts independent rating agencies.
  3. The future of DeFi lending hinges on transparency and sophisticated risk management. As institutions enter, the demand for clear, independently verified risk assessments will intensify, making protocols that embrace these principles the winners in the next market cycle.
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