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AI Podcasts

December 23, 2025

Continual System Prompt Learning for Code Agents – Aparna Dhinakaran, Arize

AI Engineer

AI
Key Takeaways:
  1. The transition from model-centric to loop-centric development. Performance is now a function of the feedback cycle rather than just the weights of the frontier model.
  2. Implement an LLM-as-a-judge step that outputs a "Reason for Failure" field. Feed this string directly into a meta-prompt to update your agent's system instructions automatically.
  3. Static prompts are technical debt. Teams that build automated systems to iterate on their agent's instructions will outpace those waiting for the next model training run.
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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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Crypto Podcasts

April 4, 2025

Are Stablecoins the only good crypto use case?

blocmates.

Crypto
Key Takeaways:
  1. Stablecoins Reign: Forget moonshots; stablecoins are crypto's clearest win, providing real-world utility and attracting both corporate giants (Tether, Circle) and even government attention.
  2. Macro Still Matters (Kind Of): While extreme tariff news rocked traditional markets, crypto's reaction was comparatively muted – expect continued volatility, but perhaps less direct correlation than stocks anticipate.
  3. Watch Stablecoin Ecosystem Plays: While Tether and Circle dominate headlines, the narrative strength around stablecoins could create opportunities for related on-chain protocols (like Ethena, Maker) post-macro cooldown.
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April 4, 2025

Why Dan Romero built Farcaster, a decentralized social network #crypto #web3 #farcaster #eth #sol

Bankless

Crypto
Key Takeaways:
  1. Decentralized Social, Realized: Farcaster offers a tangible example of an "at-scale" decentralized social network built on crypto rails (initially Ethereum).
  2. Unlocking Social Data: The core innovation is the open, permissionless protocol, giving developers API access to build diverse applications on a shared social dataset.
  3. Beyond Cloning: While the first app looks familiar (Twitter-like), the underlying protocol enables vastly different social applications, from niche integrations to entirely new platform paradigms.
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April 3, 2025

The Trump Tariff Dump

1000x Podcast

Crypto
Key Takeaways:
  1. Buy the Fear (Selectively): Target Bitcoin dips aggressively in the $73k-$78k zone for mid-term holds, anticipating a potential reversal once tariff fears subside.
  2. Short the Weakness: Ethereum presents a compelling short opportunity targeting $1500 or lower; most altcoins remain vulnerable until market sentiment improves.
  3. Trade Nimbly, Hedge Wisely: This market rewards quick profit-taking on bounces and punishing overstayed welcomes. Use put options to hedge against unpredictable downside moves in this "once-in-80-year" tariff scenario.
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April 2, 2025

1000x "Liberation Day" Livestream

1000x Podcast

Crypto
Key Takeaways:
  1. Brace for Impact, Watch for Stimulus: Tariffs likely guarantee short-term economic pain and recession risk, but expect swift policy responses (tax cuts) if things get too dire.
  2. Bitcoin > Alts (Mostly): Prioritize Bitcoin exposure due to relative strength. Altcoins (especially ETH) face severe headwinds; shorting weak names is viable. Keep an eye on the RWA narrative.
  3. Trade the Extremes: Volatility is the game. Buy deep fear ($73-78k BTC zone), sell rips quickly, stay nimble, and don't overexpose yourself without hedges.
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April 2, 2025

A New Era of Global Capital: How Blockchains Can Fix Broken Finance

Bankless

Crypto
Key Takeaways:
  1. Finance is Moving On-Chain: The future isn't siloed databases using the internet for messaging; it's financial ledgers living on unified, open-access blockchains – the true Internet Financial System.
  2. Strong Property Rights, Stronger Economies: Blockchains provide globally accessible, technologically enforced property rights, bypassing weak local legal systems and unlocking trillions in capital – a massive driver for global development.
  3. Crypto Grows Up: The era of pure speculation and inert protocols is fading; sustainable businesses, real cash flows, and robust token holder rights are the new requirements for success and investment.
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April 1, 2025

Tim Beiko: What are the biggest misconceptions around Ethereum? #crypto #eth #ethereum #podcast

Bankless

Crypto
Key Takeaways:
  1. Timelines are Fluid Until Scheduled: Don't treat estimated Ethereum upgrade windows discussed early in development as hard deadlines; "delays" only truly occur after a specific date is set and missed.
  2. Communication is Hard: Core developers wrestle with how much certainty to project about timelines, balancing the need for transparency against the risks of premature commitment or unhelpful vagueness.
  3. Manage Expectations: Observers and investors should factor the inherent uncertainty of deep R&D into their expectations regarding Ethereum upgrade timelines.
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