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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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 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.
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Crypto Podcasts

October 8, 2025

Steady Lads Live From TOKEN2049 in Singapore! w/ Dim Selk

Steady Lads Podcast

Crypto
Key Takeaways:
  1. Profit, Don't HODL. The current market is a trader’s paradise, not an investor’s dream. The strategy is to ride the seasonal Q4 pump and exit by January, refusing to get caught in another brutal bear cycle.
  2. Fade the Old, Farm the New. Capital is mercenary, flowing from established tokens to the next hot airdrop farm or launch. The relentless hunt for volatility means older coins are treated as exit liquidity for the next shiny object.
  3. Unlocks Are the Silent Killer. Before investing, map out the token unlock schedule. Even fundamentally sound projects with strong revenue face a massive gravitational pull on their price from insider and team unlocks.
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September 17, 2025

FinTech Meets Crypto: The Future of Global Payments

Bankless

Crypto
Key Takeaways:
  1. **Stablecoins Are Rebranding Crypto.** The FinTech industry is adopting stablecoin technology not as a niche crypto asset, but as the foundational layer for "FinTech 3.0," poised to overhaul global payments.
  2. **The EVM Is The New COBOL.** Specialized payments chains are standardizing the EVM as the backend for modern finance, creating high-throughput, compliant on-ramps that will bring trillions in TradFi volume on-chain.
  3. **Payments Are Just The Beginning.** Once the world rebuilds its payments infrastructure on stablecoins, the floodgates will open for the complete tokenization of all financial assets, forever blurring the line between crypto and finance.
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September 16, 2025

Collector Crypt: Onchain Capital Markets On Solana | Tuomas Holmberg

Lightspeed

Crypto
Key Takeaways:
  1. Onchain Rails Create New Economies. By digitizing physical assets on high-performance chains like Solana, you eliminate friction around custody, settlement, and global access, unlocking novel business models like the Gotcha Machine.
  2. Real-World Logistics Are the Ultimate Moat. While anyone can build a smart contract, Collector Crypt’s defensibility comes from its physical supply chain—dealer relationships and automated acquisition tools that secure inventory below market price.
  3. Novel Oracles Unlock the Next Wave of DeFi. The future of onchain finance depends on reliably pricing illiquid, real-world assets. Developing proprietary oracles, like Collector Crypt’s, is the first step to building DeFi for everything.
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September 15, 2025

Is It Time to Rotate Out of Crypto?

1000x Podcast

Crypto
Key Takeaways:
  1. **De-Risk Your Alts.** Crypto is showing significant weakness by failing to rally with equities. Ethereum's lower high is a major red flag for the altcoin market; it's time to reduce leverage and concentrate into Bitcoin or cash.
  2. **Hunt for Value in TradFi.** Traditional markets are offering powerful narrative-driven plays with crypto-like upside. Focus on assets like Tesla (robotics), Robinhood (gambling culture), and commodities like uranium (energy independence).
  3. **Fade the ETF Narrative.** The institutional "sugar high" from ETFs is wearing off as the front-running trade becomes crowded and inflows wane. The market needs a new, more durable catalyst to move higher.
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September 15, 2025

Bittensor TAO :: Community Q+A :: Sub-Subnets, Deregistration, Yuma Consensus + more

The Opentensor Foundation | Bittensor TAO

Crypto
Key Takeaways
  1. Subnets are becoming more complex. The introduction of sub-subnets will allow for more sophisticated, multi-faceted incentive mechanisms within a single subnet, effectively turning them into "mixtures of experts."
  2. Performance is now paramount. Subnet deregistration creates a "perform or perish" dynamic. Underperforming subnets risk being automatically removed, with their assets returned to token holders as TAO.
  3. Decentralization is on the horizon. The shift to Proof-of-Stake and a formal on-chain governance structure are actively being developed, marking a deliberate move toward placing control in the hands of the community.
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September 15, 2025

How to Invest in The Debasement Era

Bankless

Crypto
Key Takeaways:
  1. Recessions Are Canceled, Inflation Is Not: Perpetual government stimulus will prevent deep downturns, but it locks in higher inflation. Plan for a ~3% floor and a market that swings between boom and stagflation.
  2. The US Super Cycle Is Over: After a historic 15-year run, US market dominance has peaked. The next decade’s alpha will be found in undervalued international markets benefiting from a weakening dollar.
  3. Build a Debasement-Proof Portfolio: Ditch long-duration bonds. Hold cash for opportunity, stay invested in global equities, and overweight hard assets like gold and crypto to preserve purchasing power.
See full notes