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AI Podcasts

December 31, 2025

[State of MechInterp] SAEs in Production, Circuit Tracing, AI4Science, "Pragmatic" Interp — Goodfire

Latent Space

AI
Key Takeaways:
  1. The transition from Black Box to Glass Box AI. Trust is the next moat, and interpretability is the tool to build it.
  2. Use feature probing for high-stakes monitoring. It is more effective and cheaper than using LLMs as judges for tasks like PII scrubbing.
  3. Understanding model internals is no longer just a safety research project. It is a production requirement for any builder deploying AI in regulated or high-stakes environments over the next 12 months.
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December 31, 2025

[State of Code Evals] After SWE-bench, Code Clash & SOTA Coding Benchmarks recap — John Yang

Latent Space

AI
Key Takeaways:
  1. The transition from completion to agency means benchmarks are moving from static snapshots to active environments.
  2. Integrate unsolvable test cases into internal evaluations to measure model honesty.
  3. Success in AI coding depends on navigating the messy, interactive reality of production codebases rather than chasing high scores on memorized puzzles.
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December 31, 2025

[State of Research Funding] Beyond NSF, Slingshots, Open Frontiers — Andy Konwinski, Laude Institute

Latent Space

AI
Key Takeaways:
  1. The center of gravity in AI is moving from closed-door pre-training to open-source compound systems that prioritize context management.
  2. Identify research teams with long histories of collaboration and fund them before they incorporate to capture the highest upside.
  3. Open research is the only way to maintain a democratic and competitive AI ecosystem against both closed labs and international rivals.
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December 29, 2025

Beyond the Code: The Books That Shaped the Minds of AI Leaders

Turing Post

AI
Key Takeaways:
  1. The transition from technology push to market pull requires builders to stop focusing on the stack and start obsessing over user psychology.
  2. Apply the Mom Test by asking users about their current workflows instead of pitching your solution. This prevents building expensive features that nobody uses.
  3. The next decade of AI will be won by those who understand the human condition as deeply as they understand the transformer architecture.
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December 29, 2025

Memory in LLMs: Weights and Activations - Jack Morris, Cornell

AI Engineer

AI
Key Takeaways:
  1. The Macro Trend: Moving from "In-Context Learning" to "Weight-Based Memory" to bypass the quadratic costs of attention.
  2. The Tactical Edge: Use synthetic data generation to augment your fine tuning sets and prevent the model from forgetting its base knowledge.
  3. RAG is a stopgap. The long term winners will be those who build "neural file systems" where the model inherently knows the data.
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December 29, 2025

Where does consumer AI stand at the end of 2025?

a16z

AI
Key Takeaways:
  1. The "Everything App" is a myth. We are moving from general chat boxes to agentic workspaces that operate across your entire software stack.
  2. Build opinionated. Use the current model quality to solve one specific, high-value workflow rather than competing for the general assistant crown.
  3. 2026 is the year of the builder. The infrastructure is ready, the compute tension is real for Labs, and the market is hungry for products with a soul.
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December 26, 2025

How Claude Code Works - Jared Zoneraich, PromptLayer

AI Engineer

AI
Key Takeaways:
  1. The Macro Movement: The transition from AI as a feature to AI as a headless operator using terminal-based agents.
  2. The Tactical Edge: Replace complex classification DAGs with simple tool-calling loops to reduce technical debt.
  3. The Bottom Line: The future of software development is not better IDEs but better headless agents that treat the entire OS as a tool.
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December 26, 2025

Shipping AI That Works: An Evaluation Framework for PMs – Aman Khan, Arize

AI Engineer

AI
Key Takeaways:
  1. The transition from deterministic software to probabilistic agents requires a move from "vibe coding" to data-driven development.
  2. Build a "golden" data set of 50 hard examples. Use these to test every prompt change before pushing to production.
  3. Reliability is the only moat left in a world of commoditized models. Evals are the bridge to that reliability.
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December 27, 2025

AGI: The Path Forward – Jason Warner & Eiso Kant, Poolside

AI Engineer

AI
Key Takeaways:
  1. Software development is moving from a manual craft to an automated output of vertically integrated intelligence stacks.
  2. Monitor the public API release early next year to replace generic LLMs with specialized coding intelligence.
  3. The winners of the next decade will build on platforms that treat compute as a raw commodity and intelligence as the final product.
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Crypto Podcasts

September 12, 2025

Bittensor Novelty Search :: Sub-Subnets + Subnet Deregistration core updates :: + Open Q+A

The Opentensor Foundation | Bittensor TAO

Crypto
Key Takeaways:
  1. **Consolidate or Compete.** Sub-subnets allow teams to build diversified businesses under a single token, while deregistration means underperforming projects will be pruned. The message is clear: innovate and perform, or be replaced.
  2. **Investment Thesis Evolves.** Subnet tokens are no longer "eternal." Deregistration fundamentally changes the risk profile, making active development and market traction paramount for long-term viability.
  3. **Governance is Coming.** The network is on a clear path to decentralization. The planned shift to Proof-of-Stake and a more democratic governance structure will steadily transfer power to subnet owners and stakers, making community participation more critical than ever.
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September 12, 2025

One Chart Determines if We're in a Bull or Bear Market

Bankless

Crypto
Key Takeaways:
  1. Global liquidity is the ultimate macro signal. As long as the global liquidity chart goes up and to the right, the crypto bull market has the fuel it needs to continue its run.
  2. Ethereum isn't losing; it's quietly winning the RWA war. With 93% market share, Ethereum has become the de facto settlement layer for tokenized real-world assets, a lead that continues to grow as institutions like Fidelity build directly on its L1.
  3. The new blockchain business model is asset management. Chains like Hyperliquid and Mega ETH are pioneering a shift away from relying solely on blockspace fees. By integrating native stablecoins, they are capturing a percentage of the yield from assets on-chain, effectively turning the protocol itself into a revenue-generating asset manager.
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September 12, 2025

Sanctum Founder: Solana's Liquid Staking Future | FP Lee

Lightspeed

Crypto
Key Takeaways:
  1. LSTs Are a Distribution Play: For protocols, launching an LST is less about staking yield and more about attracting SOL to gain a strategic advantage in securing blockspace and landing transactions.
  2. Infrastructure Follows the User: Sanctum's pivot to transaction services was not a top-down mandate but a direct response to the needs of its largest partners, proving that the most durable infrastructure is built by solving the immediate, pressing problems of your customers.
  3. Aggregation Is King: Just as Jupiter won by aggregating DEXs for users, Sanctum’s Gateway aims to win by aggregating fragmented transaction delivery networks for developers, creating a simpler and more efficient experience.
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September 10, 2025

Still Time To Be Bullish?

1000x Podcast

Crypto
Key Takeaways:
  1. Patience is Your Superpower. This cycle rewards thesis-driven investing over hyperactive trading. Identify assets with strong value, momentum, and fundamentals, and give them time to play out.
  2. Bet on the On-Chain Casino. The gambling economy is real, profitable, and growing. Look for platforms that facilitate high-asymmetry games (memecoins, raffles) as they capture a powerful cultural trend.
  3. Find Alpha in the Illiquid. The next frontier is tokenizing real-world value. Platforms creating liquid markets for previously stuck assets—from collectibles to crime—are building foundational infrastructure for a much larger on-chain world.
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September 10, 2025

Hyperliquid: The Fastest Growing Exchange in Crypto?

Bankless

Crypto
Key Takeaways:
  1. Revenue Accrual is King. Hyperliquid's model of directing nearly all top-line revenue to token buybacks creates an aggressive and constant bid for the HYPE token, a feature most crypto projects can only dream of.
  2. Product-First Beats VC-First. Its explosive growth comes from building a superior product that attracted a loyal user base first, then leveraging that traction to build an L1 ecosystem—a stark contrast to the typical VC-funded playbook.
  3. A Bet on the Middle Ground. Investing in HYPE is a bet that CEX-level performance and on-chain transparency can outweigh significant centralization and regulatory risks. It’s a category-defining play that sits squarely between DeFi and CeFi.
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September 10, 2025

Former Barclays CEO’s Big Bet on Hyperliquid’s Explosive Growth |  Bob Diamond & David Schamis

Forward Guidance

Crypto
Key Takeaways:
  1. Hyperliquid is a Cash Flow Machine. It is a rare crypto asset with quantifiable fundamentals, generating over $1B in annualized free cash flow with an automated, daily 99% buyback mechanism.
  2. Access is the Arbitrage. The NASDAQ-listed vehicle’s core value proposition is providing regulated access to an asset that US investors cannot easily buy, creating a structural opportunity.
  3. Innovation is Now Permissionless. Hyperliquid’s open architecture allows anyone to build on its rails, enabling new markets like pre-IPO equity trading and accelerating growth without traditional gatekeepers.
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