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AI Podcasts

January 9, 2026

Spec-Driven Development: Sharpening your AI toolbox - Al Harris, Amazon Kiro

AI Engineer

AI
Key Takeaways:
  1. The transition from "vibe coding" to "spec-driven" engineering.
  2. Implement EARS-formatted requirements in your AI prompts.
  3. Determinism is the ultimate feature for AI-assisted development.
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January 8, 2026

Post-training best-in-class models in 2025

Weights & Biases

AI
Key Takeaways:
  1. Intelligence is decoupling from scale. As reasoning becomes a commodity, the value moves from the size of the model to the proprietary nature of the training data.
  2. Use TRL or Unsloth for single-GPU fine-tuning. Prioritize cleaning your instruction sets over increasing your training iterations.
  3. The future belongs to those who own their data pipelines. If you can distill elite reasoning into a 350M parameter model, you win on latency, cost, and privacy.
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January 8, 2026

Intelligent Robots in 2026: Are We There Yet? [Nikita Rudin] - 760

The TWIML AI Podcast with Sam Charrington

AI
Key Takeaways:
  1. Moving from Blind Locomotion to Semantic Navigation defines the next frontier.
  2. Prioritize modular architectures that use off-the-shelf VLMs for task orchestration.
  3. Expect the first value-positive humanoid deployments in late 2026.
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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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Crypto Podcasts

June 6, 2025

Don’t Midcurve Circle and PumpFun | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. Don't Midcurve Success: Circle’s IPO triumph, despite online skepticism, shows that strong fundamentals and clear value propositions (like stablecoin infrastructure) attract serious capital.
  2. Ambition Attracts Capital (and Scrutiny): Pump.fun's massive raise, while controversial, signals a drive to leverage its huge user base for something much bigger than memecoins. Profitability plus vision equals investor interest.
  3. IPO Pipeline Primed: Circle’s success is a catalyst, likely opening the IPO floodgates for other mature crypto companies sooner than anticipated.
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June 6, 2025

How Will Pump Fun's Token Impact Solana? | Weekly Roundup

Lightspeed

Crypto
Key Takeaways:
  1. Cash is King (Again): Pump Fun's $1B target underscores a potential shift back to ICOs for well-capitalized projects, offering a war chest for aggressive expansion, M&A, and de-risking beyond what current revenues allow.
  2. Distribution is Destiny: Pump Fun's long-term viability hinges on owning its front-end and user discovery to avoid disintermediation, making moves into wallets or even exchanges critical.
  3. Solana Symbiosis Likely: Despite L1/L2 speculation, Pump Fun’s incentives align more with growing the existing memecoin market on Solana rather than fragmenting its user base by launching a new chain, especially given Solana's ongoing performance enhancements.
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June 5, 2025

Institutional Capital Is Pouring Into Crypto | Analyst Round Table

0xResearch

Crypto
Key Takeaways:
  1. **Institutional Gravity:** The long-awaited institutional capital is here, reshaping market dynamics even as retail sentiment flickers.
  2. **Transparency vs. Tactics:** The need for private trading venues (dark pools) is growing, challenging the "everything on-chain" ethos for practical trading.
  3. **Altcoin Arenas:** Specific ecosystems like Solana (via LSTs like Jito) and BNB Chain (via PancakeSwap) are showing unique strengths and attracting significant, albeit sometimes under-the-radar, volume and institutional attention.
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June 3, 2025

What's an L1 Token?

Empire

Crypto
Key Takeaways:
  1. L1 Tokens are Commodity-Money: They function as the native economic unit of their blockchain, used for services and increasingly held as a store of value, not as shares in a company.
  2. Networks, Not Corporations: L1s are decentralized ecosystems of validators, users, and infrastructure providers, lacking a single point of control or liability.
  3. Store of Value is Key: The primary long-term value accrual for L1 Tokens likely stems from demand for staking and DeFi utility outpacing the token's supply growth, making them a vehicle to "transport wealth through time."
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June 3, 2025

Alpenglow: Solana's Largest Protocol Upgrade Ever | Brennan Watt, Anza

Lightspeed

Crypto
Key Takeaways:
  1. 100x Faster Finality: Alpenglow targets ~100ms finality, making the Solana user experience near-instantaneous and bolstering its DeFi and payments utility.
  2. Economic Revamp: Off-chain voting drastically cuts validator costs, with future plans for explicit incentives to further align network participants.
  3. Aggressive Innovation: Anza's roadmap, including Alpenglow by late 2024/early 2025, doubled block limits, and future slot time reductions, signals relentless pursuit of peak performance.
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June 3, 2025

Bits + Bips LIVE - June 2nd, 2025

Unchained

Crypto
Key Takeaways:
  1. Institutional Crypto Adoption is Real & Accelerating: Forget retail; corporations globally are now the big crypto buyers, reshaping market dynamics and creating both opportunities and SPAC-like bubble risks.
  2. Bitcoin ETFs Signal Deepening Institutional Commitment: Massive, consistent inflows into Bitcoin ETFs, led by giants like BlackRock, confirm that sophisticated capital is making significant, long-term allocations to digital assets.
  3. AI is a Deflationary Force Rewriting Job Specs: AI's economic impact is undeniable, driving productivity and disinflation but also forcing a rapid evolution in the workforce, where adaptability and human-AI collaboration are key to future value.
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