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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

June 9, 2025

Why We Are Bullish

1000x Podcast

Crypto
Key Takeaways:
  1. Bitcoin is king: Expect Bitcoin to outperform traditional assets significantly; avoid fumbling this generational chance through common investor errors.
  2. Evolve your strategy: The game has shifted from infrastructure hype and rapid trading to identifying and holding quality applications and tokens like Hyperliquid or Syrup with longer horizons.
  3. Appetite meets fundamentals: While hype can drive initial pumps (e.g., Circle IPO), sustainable value lies in strong business models (Tether's organic growth) and clear token utility.
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June 9, 2025

How Venture Is Navigating Crypto IPOs

Empire

Crypto
Key Takeaways:
  1. **IPO Appetite is Real (for Some):** Public markets are hungry for crypto, but primarily for clear narratives like stablecoins (see: Circle); broader adoption requires substantial revenue.
  2. **VCs Get Flexible:** The smart money is adapting, ready to pounce on equity or tokens, depending on where the value (and exit) lies.
  3. **On-Chain IPOs - The Next Speculative Playground?:** Imagine a world where early-stage crypto companies list on-chain, offering a more productive outlet for speculative capital than today's memecoin casino.
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June 9, 2025

Is Joe Lubin the Michael Saylor of Ethereum?

Bankless

Crypto
Key Takeaways:
  1. Regulatory Renaissance: The SEC's stance has softened, creating a more favorable U.S. environment for crypto; Ether's non-security status (for the scope of the past investigation) is a major win.
  2. Ether as a Productive Treasury Asset: ESBET's strategy of acquiring and actively yielding Ether could set a new standard for corporate treasuries, showcasing Ether's utility beyond just holding.
  3. The "Trust Commodity" Narrative: Expect a strong push to frame Ether's value around its ability to provide programmable trust and facilitate economic activity, with Lubin championing this.
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June 6, 2025

Could Crypto Treasury Companies Create Systemic Risk for the Industry?

Unchained

Crypto
Key Takeaways:
  1. High Premiums are a Red Flag: The massive premiums (some at 80x NAV) on many new crypto treasury stocks are likely unsustainable and warrant extreme investor caution.
  2. Collateralization is the Catalyst: The primary systemic risk emerges if these shares become widely accepted as collateral, creating a leveraged ecosystem vulnerable to market shocks.
  3. History as a Guide: The industry must heed the lessons from GBTC's collapse to prevent irresponsible risk-taking and a potential repeat of cascading failures.
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June 6, 2025

0xResearch | Friday, June 6th

0xResearch

Crypto
Key Takeaways:
  1. Fiscal Reality Bites: Government spending, not just Fed moves, dictates the macro game; hedge accordingly.
  2. Structure Matters, Massively: Demand for "pure play" crypto assets is immense; projects clarifying token value accrual (a la Morpho) will win.
  3. Show, Don't Just Tell: For L1s and protocols, delivering tangible results and clear revenue paths to token holders trumps theoretical brilliance.
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June 6, 2025

PumpFun’s Impact on Solana, Circle’s IPO, and Elon and Trump’s Feud | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. PumpFun's Token Looms Large: With its massive user base and revenue, PumpFun's upcoming token is a critical event for Solana and the broader memecoin market, offering a direct investment into crypto's consumer wave.
  2. IPO Window is Open: Circle's successful IPO signals renewed investor interest in publicly traded crypto companies, potentially paving the way for more listings and providing liquidity events for equity holders.
  3. Regulatory Clarity is King: The future of crypto innovation, from token launches to organizational structures, hinges on clear market structure legislation to move beyond current cumbersome models.
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