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AI Podcasts

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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December 22, 2025

AI Agents in 2026 | 3 Predictions For What’s To Come (a16z Big Ideas)

a16z

AI
Key Takeaways:
  1. The transition from Software as a Service to Labor as a Service turns every white collar task into a programmable API.
  2. Audit your product for machine legibility to ensure AI agents can navigate your data without human intervention.
  3. The prompt box was a bridge. The future belongs to invisible systems that act first and report later.
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December 22, 2025

The "Final Boss" of Deep Learning

Machine Learning Street Talk

AI
Key Takeaways:
  1. [Algorithmic Convergence]. The gap between symbolic logic and neural networks is closing through category theory. Expect architectures that are "correct by construction" rather than just "likely correct."
  2. [Audit Architecture]. Evaluate new models based on their "algorithmic alignment" rather than just parameter count. Prioritize implementations that bake in non-invertible logic.
  3. The next year will see a shift from scaling data to scaling structural priors. If you aren't thinking about how your model's architecture mirrors the problem's topology, you are just an alchemist in a world about to discover chemistry.
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December 20, 2025

The Infinite Software Crisis – Jake Nations, Netflix

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: The future of software development isn't about *if* we use AI, but *how* we integrate human understanding and architectural discipline to prevent an "infinite software crisis.
  2. Builder/Investor Note: Builders must prioritize deep system understanding and explicit planning over raw generation speed. Investors should favor companies that implement robust human-in-the-loop processes for AI-assisted development.
  3. The "So What?": Over the next 6-12 months, the ability to "see the seams" and manage complexity will differentiate thriving engineering teams from those drowning in unmaintainable, AI-generated code.
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December 19, 2025

AI Leadership - Alex Lieberman, Tenex

AI Engineer

AI
Key Takeaways:
  1. Strategic Implication: The market for AI transformation services is expanding rapidly, driven by enterprises seeking to integrate AI for tangible business outcomes.
  2. Builder/Investor Note: Focus on AI solutions with clear, practical applications for mid-market and enterprise clients. Technical talent capable of bridging research with deployment holds significant value.
  3. The "So What?": The next 6-12 months will see increased demand for AI engineers who can implement and scale AI solutions, moving beyond proof-of-concept to widespread adoption.
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Crypto Podcasts

February 8, 2026

The Pro-Quantum Argument w/ Tyler Whittle

The Gwart Show

Crypto
Key Takeaways:
  1. The theoretical certainty of quantum computing, coupled with accelerating engineering breakthroughs, means the digital asset space must proactively build "crypto agility" into its core protocols. This ensures systems can adapt to new cryptographic standards as current ones become obsolete.
  2. Secure your Bitcoin by ensuring it resides in unspent SegWit or P2SH addresses, as these keep your public key hidden until spent. This provides a temporary shield against quantum attacks.
  3. Quantum computing is not a distant threat but a near-term risk with a 20% chance of moving Satoshi's coins by 2030. Ignoring this could lead to a systemic collapse of the "store of value" narrative for Bitcoin and other digital assets, forcing a costly and painful reset.
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February 8, 2026

If Bitcoin doesn't quantum-proof it will be EXPENSIVE

The Gwart Show

Crypto
Key Takeaways:
  1. The crypto industry must shift from viewing quantum as a distant threat to an imminent engineering challenge requiring proactive, coordinated defense.
  2. Ensure any long-term Bitcoin holdings are in SegWit addresses never spent from, as these public keys remain hashed and are currently more resistant to quantum attacks.
  3. A 20% chance of Satoshi's coins moving by 2030, and near certainty by 2035, means delaying upgrades is a multi-billion dollar bet against Bitcoin's core security narrative.
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February 7, 2026

Do We Still Need L2s Now That Ethereum Has Scaled? - Uneasy Money

Unchained

Crypto
Key Takeaways:
  1. Ethereum's L1 scaling redefines L2s from pure throughput solutions to specialized platforms, while AI agents introduce a new, autonomous layer of on-chain activity.
  2. Investigate L2s that offer unique features or cater to specific enterprise needs beyond just low fees.
  3. The future of crypto involves a more performant Ethereum L1, specialized L2s, and a burgeoning agentic economy.
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February 8, 2026

Want to Hire an AI Agent? Check Their Reputation Via ERC-8004

Unchained

Crypto
Key Takeaways:
  1. The rapid rise of autonomous AI agents demands a decentralized trust layer. Blockchains, initially an "internet of money," are now becoming the foundational "internet of trusted agent commerce," providing verifiable identity and reputation essential for multi-agent economies. This shift moves beyond simple payments to establishing a credible, censorship-resistant framework for AI-driven interactions.
  2. Integrate ERC-8004 into agent development. Builders should register their AI agents on ERC-8004 to establish verifiable on-chain identity and reputation, attracting trusted interactions and avoiding future centralized platform fees or censorship.
  3. The future of AI commerce hinges on decentralized trust. ERC-8004 is the foundational primitive for this, ensuring that as AI agents become more sophisticated and transact more value, the underlying infrastructure remains open, fair, and resistant to single points of control. This is a critical piece of the puzzle for anyone building or investing in the agent economy over the next 6-12 months.
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February 8, 2026

Hash Rate - Ep.157 - Mining Bittensor with OpenClaw

Hash Rate Podcast

Crypto
Key Takeaways:
  1. Agentic AI is not just a tool; it's a new layer of abstraction for decentralized networks. It shifts the barrier to entry from deep technical and crypto-specific knowledge to strategic prompting and resource allocation, accelerating network participation and value accrual.
  2. Experiment now. Deploy a hosted agentic AI like OpenClaw (via seafloor.bot) with a small budget to understand its capabilities in a controlled environment. Focus on automating complex setup tasks within decentralized AI protocols like Bittensor to gain firsthand experience before others.
  3. The rise of agentic AI agents will fundamentally reshape how individuals and organizations interact with and profit from decentralized AI. Those who master agent orchestration and "skill" development will capture disproportionate value as these systems become the primary interface for programmable intelligence and capital.
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February 7, 2026

Crypto’s Reality Check | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. AI's gravitational pull on talent and capital is forcing crypto to mature beyond speculative tokenomics, transitioning focus from "meme value" to demonstrable product-market fit and real-world utility.
  2. Identify and invest in projects building at the intersection of crypto and AI, or those creating "net new" applications that abstract away crypto complexity for mainstream users, especially in areas like identity or fintech.
  3. This bear market is a necessary, albeit painful, reset. It's a time for builders to focus on creating tangible value and for investors to seek out projects with genuine utility, as the era of easy speculative gains is over.
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