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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

January 31, 2026

New Fed Chair Nominee Kevin Warsh, Gold and silver plunge and the Rotation Trade is On.

The Rollup

Crypto
Key Takeaways:
  1. The Macro Reallocation: As global liquidity loosens and traditional assets falter, capital is migrating from "atoms" (metals) to "bits" (crypto), particularly into DeFi protocols offering superior yield and ownership.
  2. The Tactical Edge: Investigate DeFi neo-banks like Superform that aggregate yield, simplify UX, and offer tokenized ownership. These platforms are positioned to capture retail and institutional capital seeking higher returns and self-custody.
  3. The Bottom Line: A crypto-friendly Fed, capital rotation from traditional assets, and maturing user-owned DeFi platforms mean the next 6-12 months will see significant growth in onchain finance, making it a critical area for strategic investment and building.
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January 31, 2026

Why Altcoins Are Dead & What's Replacing Them with Bitget CEO, Gracy Chen

The Rollup

Crypto
Key Takeaways:
  1. Global liquidity, traditionally seeking refuge in gold and equities, is increasingly flowing into Bitcoin and tokenized real-world assets on compliant crypto platforms. This economic reality is forcing exchanges to prioritize regulated, high-value offerings over speculative altcoins.
  2. For builders, pivot from pure cryptonative narratives to projects with tangible products, clear revenue models, and infrastructure plays (RWA, AI, stablecoins). For investors, accumulate Bitcoin and explore tokenized traditional assets on compliant universal exchanges, recognizing the market's flight to quality.
  3. The crypto market is maturing, demanding real value and regulatory adherence. Over the next 6-12 months, success will hinge on participating in platforms and projects that bridge traditional finance with blockchain, leaving pure altcoin speculation behind.
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January 30, 2026

Blame Exchanges for Holding Up the Market Structure Bill? - DEX in the City

Unchained

Crypto
Key Takeaways:
  1. Policy Stalled: The prospects for comprehensive crypto market structure law are deteriorating, with political finger-pointing hindering progress. This means continued uncertainty for builders and investors, forcing operations into a legal gray area with unpredictable outcomes.
  2. Custody Failures: The US government's handling of seized crypto assets, like the alleged $40 million theft from a Bitfinex hack wallet by a contractor's son, reveals alarming security gaps. This highlights that even state actors struggle with basic digital asset security, raising questions about their ability to regulate the space effectively.
  3. Misplaced Focus: Trump's $5 billion lawsuit against JP Morgan for account closures is not true debanking, which impacts ordinary individuals and crypto businesses. This lawsuit distracts from the systemic issue of banks cutting off access to financial services for legitimate businesses without transparency or recourse.
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January 31, 2026

How Ethereum May Have One-Upped Bitcoin in One Big Way - Uneasy Money

Unchained

Crypto
Key Takeaways:
  1. The Macro Shift: AI's recursive self-improvement is compressing innovation cycles and dissolving engineering moats, creating an urgent demand for crypto infrastructure that can adapt to unforeseen technological advancements.
  2. The Tactical Edge: Prioritize protocols and platforms that demonstrate a proactive approach to long-term technical risks, such as quantum computing, over those with rigid, unadaptable architectures.
  3. The Bottom Line: The convergence of AI and crypto will redefine security and value. Ethereum's strategic investment in quantum resistance positions it to capture a significant narrative and technical advantage, while Bitcoin's inertia could become a critical liability over the next 6-12 months.
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January 31, 2026

Hash Rate - Ep. 156 - James Altucher Talks $TAO

Hash Rate Podcast

Crypto
Key Takeaways:
  1. Monitor institutional capital flows into BitTensor subnets, particularly the DNA Fund's $300M DAT. Significant subnet acquisitions will likely precede sharp upward movements in TAO's price, offering a leading indicator for investors.
  2. BitTensor is architecting a decentralized AI economy where market incentives and Darwinian selection drive innovation, effectively crowdsourcing the world's best AI talent to solve complex problems.
  3. BitTensor is in its "sausage factory" phase, building the infrastructure for a $10,000+ TAO valuation. The current market irrationality and interface challenges are temporary.
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January 31, 2026

Bittensor Brief #18: NODEXO - Subnet 27

Hash Rate Podcast

Crypto
Key Takeaways:
  1. The AI compute market is moving from opaque, centralized providers to verifiable, decentralized networks. Nodeexo's model forces real pricing and competition by embedding cryptographic trust directly into the infrastructure layer.
  2. Evaluate Bittensor subnets not just for speculative yield, but for their ability to convert subnet tokens into real-world utility and verified infrastructure. Prioritize those building tangible, trust-minimized services.
  3. Nodeexo's approach to verifiable GPU compute establishes a new standard for trust in decentralized AI infrastructure. This creates a compelling investment thesis for those identifying real utility and transparent value in the Bittensor ecosystem over the next 6-12 months.
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