10 Hours of Listening.
5 Minutes of Reading.

Deep dives into the conversations shaping the future of AI, Robotics & Crypto.

Save hours of your time each week with our podcast aggregator

🔍 Search & Filter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

AI Podcasts

December 31, 2025

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

a16z

AI
Key Takeaways:
  1. The Macro Pivot: Outcome-Based Intelligence. We are moving from AI as a Service to Results as a Service where software value is tied to revenue generation rather than seat licenses.
  2. The Tactical Edge: Verticalize the Data. Build in sectors with non-public outcome data to create a compounding moat that resists commoditization by foundation models.
  3. The winners of 2026 will be those who use AI to solve core human needs for connection and discovery while building defensible, data-rich business models.
See full notes
December 31, 2025

AutoGrad Changed Everything (Not Transformers) [Dr. Jeff Beck]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Macro Transition: Moving from "Big Model" monoliths to "Lots of Little Models" where distributed Bayesian assets represent specific physical objects.
  2. The Tactical Edge: Prioritize "Object-Centered" architectures that track uncertainty. This allows robots to "phone a friend" when encountering novel data.
  3. The LLM era is hitting a wall of implicit representation. The next 12 months belong to those building explicit, causal world models grounded in physics rather than language.
See full notes
December 31, 2025

[State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI

Latent Space

AI
Key Takeaways:
  1. The move from "bigger is better" to "smarter is cheaper" as token efficiency becomes the primary metric for agentic success.
  2. Prioritize building on models that demonstrate high performance on "graph walk" evals to ensure your long-context applications actually work.
  3. Utilitarian and efficient models that prioritize task completion over cheery personality will dominate the developer market.
See full notes
December 31, 2025

[State of Evals] LMArena's $100M Vision — Anastasios Angelopoulos, LMArena

Latent Space

AI
Key Takeaways:
  1. The Macro Trend: The transition from static benchmarks to live human-in-the-loop evaluation. As models saturate fixed tests, the only remaining signal is subjective human preference at scale.
  2. The Tactical Edge: Monitor secret model drops on Arena to spot frontier capabilities before official releases. This provides a lead time advantage for builders choosing their tech stack.
  3. The Bottom Line: Arena is the new kingmaker. If you are building AI products, their expert-tier data is the most reliable map for navigating the frontier.
See full notes
December 31, 2025

[State of Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual

Latent Space

AI
Key Takeaways:
  1. The move from small models to medium models (15B to 70B) suggests that reasoning capability is outstripping the desire for low-latency edge deployment.
  2. Implement instruction-following re-rankers to prune your context window. This prevents the model from getting confused by irrelevant data.
  3. Stop building toys. The next year belongs to those who can build full agentic systems that handle billions of tokens without losing the plot.
See full notes
December 31, 2025

[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

Latent Space

AI
Key Takeaways:
  1. The wall between RL and self-supervised learning is crumbling, leading to a unified "representation-first" approach to AI.
  2. Swap your reward-heavy objectives for contrastive representation learning to access deeper, more stable architectures.
  3. If you aren't planning for RL models with 100x the current depth, you're building for the past.
See full notes
December 31, 2025

[State of AI Papers 2025] Fixing Research with Social Signals, OCR & Implementation — Team AlphaXiv

Latent Space

AI
Key Takeaways:
  1. Academic research is transitioning from a "publish or perish" PDF culture to an "implement or ignore" code culture.
  2. Use AlphaXiv to filter research by social signal and implementation ease rather than just keyword relevance.
  3. The PDF is an antiquated artifact. In 2025, the value of a paper is measured by the speed at which a developer can spin up its Docker container.
See full notes
December 31, 2025

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

Latent Space

AI
Key Takeaways:
  1. The Macro Trend: The transition from black box scaling to transparent steering. As models enter regulated industries, the ability to prove why a model made a decision becomes more valuable than the decision itself.
  2. The Tactical Edge: Deploy sidecar models for monitoring. Instead of using expensive LLM-as-a-judge prompts, probe specific internal features to catch hallucinations at the activation level.
  3. The Bottom Line: The next year belongs to the pragmatic researchers. If you cannot explain your model's reasoning, you will not be allowed to deploy it in high-stakes environments.
See full notes
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 requires moving from static repos to active, economically valuable environments.
  2. Prioritize agentic workflows that emphasize codebase understanding over simple code generation.
  3. The next 12 months will see a move from stunt autonomy to integrated human-AI systems that handle long-running tasks without losing the human intent.
See full notes

Crypto Podcasts

May 27, 2025

Hash Rate - Ep 113 - TAOFu Subnet Seeds

Hash Rate pod - Bitcoin, AI, DePIN, DeFi

Crypto
Key Takeaways:
  1. Fund Smarter, Not Harder: Tau's SNS tokens let Bittensor subnets raise capital by tokenizing a slice of future emissions, not their core alpha tokens, sidestepping immediate sell pressure.
  2. DTA Means Business: The Dynamic TAO model is a crucible, compelling Bittensor subnets to graduate from emission-chasers to product-driven, revenue-focused ventures.
  3. Unlocking Subnet Investing: SNS tokens, via LayerZero, promise to simplify access to subnet investments, potentially onboarding a wave of new capital and users to the Bittensor ecosystem from other chains.
See full notes
May 27, 2025

Is Bitcoin Heading To $150k?

1000x Podcast

Crypto
Key Takeaways:
  1. Bitcoin's Bullish Trajectory: Bitcoin is on a path to potentially reach $150k-$200k, supported by a low-hype, strong-setup environment and a more sophisticated investor base.
  2. Strategic Altcoin Hunting: Focus on revenue-generating altcoins with solid fundamentals (check DeFiLlama) and consider measured exposure to the burgeoning AI crypto sector.
  3. Prioritize Self-Custody: Given exchange vulnerabilities, holding your assets offline in cold storage is more critical than ever.
See full notes
May 27, 2025

Empire Cross-Post: The Bull Case For Ethereum | Tom Dunleavy & Ryan Berckmans

Bell Curve

Crypto
Key Takeaways:
  1. L1 is HQ: Ethereum's "pivot" reasserts the L1's central role, supported by L2s that offer crucial business model diversity and customization for the world coming on-chain.
  2. Value Accrual via Security & Confidence: ETH's valuation is increasingly tied to the total economic value it secures and the market's confidence in its future, not just direct fee revenue.
  3. Business Development is Crucial: To compete and grow, Ethereum requires a significantly more robust and proactive go-to-market strategy to attract users, institutions, and developers.
See full notes
May 27, 2025

The Altseason Rotation Has Begun! Here's The Data Behind the Next Rotation

Bankless

Crypto
Key Takeaways:
  1. Rotation Imminent: Data suggests Bitcoin's strength is setting the stage for capital to flow into altcoins, particularly Ether, which is seen as "hated" and due for a rebound against Bitcoin.
  2. Macro is Bullish (For Now): Continued fiscal spending and an anticipated stablecoin bill are significant tailwinds, though summer may bring some turbulence.
  3. Strategic Allocation is Key: Focus on assets with strong fundamentals or high attention. Consider beta plays like "blue-chip" meme coins (Pepe for ETH, Bonk for SOL) for higher-risk, higher-reward exposure, but plan exits for speculative positions.
See full notes
May 27, 2025

Travis Millott: Tao Templar, Bittensor Subnets, Dynamic Tao, Mining, Crypto Education | Ep. 44

Ventura Labs

Crypto
Key Takeaways:
  1. Dynamic Tao is High-Risk: Approach investments with extreme caution; the market is volatile, and significant capital loss is a tangible risk.
  2. Embrace Unpredictable Innovation: Bittensor's core value lies in its capacity to generate unforeseen, groundbreaking solutions from a global, permissionless, and competitive talent pool.
  3. Substrate Chain Decentralization is Critical: The successful decentralization of Bittensor's foundational layer is a paramount upcoming milestone for its long-term viability, security, and censorship resistance.
See full notes
May 26, 2025

The Bitcoin Treasury Playbook With Tyler Evans & Josh Solesbury

Empire

Crypto
Key Takeaways:
  1. Global Takeover: Bitcoin treasury strategies are rapidly globalizing, creating new Bitcoin-proxy investment vehicles in numerous capital markets.
  2. Investor Vigilance: While "Bitcoin plus" returns are alluring, investors must critically assess MNAV multiples and beware of highly leveraged companies lacking strong, transparent leadership.
  3. Reverse Tokenization is Real: Crypto assets are increasingly entering traditional finance via these public companies, fundamentally changing institutional access and perception.
See full notes