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AI Podcasts

December 23, 2025

Developer Experience in the Age of AI Coding Agents – Max Kanat-Alexander, Capital One

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: The transition from writing to reviewing as the primary engineering activity. As agents generate more code, the human role moves from creator to editor.
  2. The Tactical Edge: Build CLIs for every internal tool to give agents a native text interface. This increases accuracy and speed compared to visual automation.
  3. The Bottom Line: Developer experience is the infrastructure for AI. Investing in clean code and fast feedback loops is the only way to ensure AI productivity gains do not decay over the next 12 months.
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December 23, 2025

Small Bets, Big Impact Building GenBI at a Fortune 100 – Asaf Bord, Northwestern Mutual

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: The transition from "Human-in-the-loop" to "Agent-as-the-interface" for enterprise data.
  2. The Tactical Edge: Audit your metadata quality now because LLM accuracy is a direct function of your documentation.
  3. The Bottom Line: Success in enterprise AI is not about the biggest model but about the smallest, most frequent wins that build institutional trust.
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December 24, 2025

METR's Benchmarks vs Economics: The AI capability measurement gap – Joel Becker, METR

AI Engineer

AI
Key Takeaways:
  1. The Capability-Productivity Gap. We are entering a period where model intelligence outpaces our ability to integrate it into high stakes production.
  2. Audit your stack. Identify tasks where "good enough" generation is a win versus high context tasks where AI is currently a net negative.
  3. Do not mistake a climbing benchmark for a finished product. For the next year, the biggest wins are not in smarter models but in better verification loops.
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December 24, 2025

PhD Bodybuilder Predicts The Future of AI (97% Certain) [Dr. Mike Israetel]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The transition from simple Large Language Models to Reasoning Models marks the end of the stochastic parrot era.
  2. Build agentic workflows that utilize high-context windows for recursive problem solving.
  3. We are moving toward a world where intelligence is a commodity. Your value will shift from knowing things to directing outcomes over the next 12 months.
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December 22, 2025

2026 Predictions: Will We Still Write Code, or Just Manage Agents?

Turing Post

AI
Key Takeaways:
  1. The Macro Pivot: Agentic Abstraction. As the cost of logic hits zero, the value of a developer moves from how to build to what to build.
  2. The Tactical Edge: Adopt Orchestrators. Replace your standard editor with agent-first platforms today to learn the art of directing sub-agents before the 2026 deadline.
  3. The Bottom Line: The next 12 months will reward those who stop writing code and start building the systems that write it for them.
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December 22, 2025

The War on Slop – swyx

AI Engineer

AI
Key Takeaways:
  1. The Macro Movement: The Token Deflation. As compute becomes a commodity, the value of the "Human-in-the-Loop" moves from production to architectural oversight.
  2. The Tactical Edge: Implement Code Maps. Use AI to index and understand your entire repository to ensure every generated line aligns with existing logic.
  3. The Bottom Line: The next year belongs to the "Taste-Driven Developer." If you optimize for volume, you produce slop; if you optimize for accountability, you build a moat.
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December 22, 2025

Autonomy Is All You Need – Michele Catasta, Replit

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: Software development is moving from human-led logic to agent-led verification.
  2. The Tactical Edge: Use sub-agents to isolate testing from creation to prevent context pollution.
  3. The Bottom Line: The technical barrier is evaporating. In the next 12 months, the winning platforms will be those that require the fewest technical decisions from the user.
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December 22, 2025

Amp Code: Next Generation AI Coding – Beyang Liu

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: Context management is the new compute. As models get smarter, the winning architecture will be the one that most efficiently partitions and feeds relevant data to sub-agents.
  2. The Tactical Edge: Prioritize reviewability. When building or using agents, focus on tools that provide clear diffs and tours of changes rather than just raw code generation.
  3. The Bottom Line: The developer's role is evolving from a writer to an orchestrator. Success in the next 12 months depends on mastering the skill of agentic review rather than manual syntax.
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December 22, 2025

Making Codebases Agent Ready – Eno Reyes, Factory AI

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: Engineering is moving from a headcount-driven Opex model to an infrastructure-driven autonomy model where validation is the primary capital asset.
  2. The Tactical Edge: Audit your codebase against the eight pillars of automated validation. Start by asking agents to generate tests for existing logic to close the coverage gap.
  3. The Bottom Line: Massive velocity gains are not found in the next model update. They are found in the rigorous internal standards that allow agents to operate without human hand-holding.
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Crypto Podcasts

December 28, 2025

What Can DeFi Users Actually Do on Canton Network Today?

The DCo Podcast

Crypto
Key Takeaways:
  1. The Macro Shift: Institutional Migration. As large-scale capital seeks on-chain efficiency, it will gravitate toward networks that offer privacy as a default.
  2. The Tactical Edge: Monitor Infrastructure. Track the rollout of Canton-native stablecoins to identify when the liquidity floodgates open for professional traders.
  3. The Bottom Line: Canton is building for the "Quiet Money." If you are looking for the next dog coin, look elsewhere, but if you want to see how the global financial system actually moves on-chain, this is the network to watch over the next year.
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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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