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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

August 18, 2025

One More Push Higher Before the Crash?

1000x Podcast

Crypto
Key Takeaways:
  1. The ETH Rally is an Illusion. Price action is dictated by treasury company flows, not fundamentals. Monitor their stock premium/discount to NAV as a leading indicator for the market top.
  2. Prepare for a "Stupid" Finale. The market is primed for one last FOMO-driven blow-off top. This is the signal to sell into strength, not add risk.
  3. Set Up the Next Home Run. The inevitable crash of treasury company stocks will present a massive opportunity. Prepare to buy these assets at deep discounts (30%+) to NAV when the market panics.
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August 18, 2025

What Liquid Funds Are Buying

Empire

Crypto
Key Takeaways:
  1. Concentrated Bets on Fundamentals Win. The era of "spray and pray" is over. The new meta is building highly concentrated portfolios (10-15 tokens) based on deep fundamental analysis of protocols with clear revenue models and product-market fit.
  2. Digital Asset Treasuries Are TradFi's On-Ramp. DATs are more than a short-term trade; they are the primary bridge for institutional capital to gain crypto exposure. Their marketing power is proving to be as crucial as their financial engineering.
  3. The 24/7 Market Is Coming. The tokenization of equities isn't a matter of *if* but *when*. This shift will create a fiduciary obligation for funds to move to on-chain assets, forcing a rapid, systemic evolution of financial markets.
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August 16, 2025

Why DATs Beyond BTC And ETH Are Risky

Empire

Crypto
Key Takeaways:
  1. **Concentrate on the Winners:** Bitcoin is the established store-of-value asset, and Ethereum is the dominant settlement layer for high-value digital assets. The data shows they have already won their respective categories.
  2. **The Rest is a Long Tail of Risk:** Investing outside of Bitcoin and Ethereum is a bet against powerful, gravity-like market forces. These alternatives are competing for a sliver of the market, increasing their risk of becoming obsolete.
  3. **Power Law is the Rule:** The market isn't about finding the "next" Ethereum; it's about recognizing that power laws are creating a duopoly where the vast majority of value will continue to accrue to the top two assets.
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August 16, 2025

Can ETH Keep Pumping Or Is It All Over?!

Steady Lads Podcast

Crypto
Key Takeaways:
  1. The New Game is Financial Engineering. The market's primary driver is the "Digital Asset Treasury" meta. Bitcoin leverages its "pristine collateral" narrative for debt financing, while Ethereum leverages native yield to justify its premium.
  2. Don't Expect a 2021 Redux. The institutional capital fueling this rally is not here to bid on your favorite altcoin. Their focus is on BTC, ETH, and treasury-related arbitrage, making a widespread, retail-driven altcoin season unlikely.
  3. De-Risk and Secure Profits. After a 3x run, seasoned traders are taking profits on ETH. The consensus is to refuse to round-trip your gains, pay down on-chain debt, and shift to scalping volatility rather than betting on a continued parabolic advance.
See full notes
August 15, 2025

The Best of Bell Curve

Bell Curve

Crypto
Key Takeaways:
  1. **Execution Guarantees Trump EVM Compatibility:** For complex financial products like derivatives, the ability to mathematically prove solvency outweighs the benefits of EVM compatibility, driving the rise of purpose-built L1s.
  2. **Memecoins Are a Macro Indicator:** Don't dismiss memecoins as a distraction. They are a direct, high-beta response to monetary debasement, signaling retail's desperation for returns in a broken financial system.
  3. **The Consumer War Is On:** While Ethereum solidifies its hold on institutional finance, the battle for consumer attention is just beginning. The success of its coordinated L2 strategy will determine if it can reclaim the narrative from chains like Solana.
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August 15, 2025

The Ether Machine Chairman: Real Risk of DATs, Who Wins From Stripe & Circle’s Chains | Roundup

Empire

Crypto
Key Takeaways:
  1. Structure Over Speed: In the DAT gold rush, avoid the shells. Reverse takeovers are fraught with hidden liabilities; cleaner de-novo SPACs are built for long-term institutional trust and better financing.
  2. Stick to the Winners: The DAT market will consolidate. Bet on pure-play vehicles for top-tier, liquid assets like ETH, as "Frankenstein" and illiquid-token DATs are destined for M&A or failure.
  3. Distribution is Destiny: In the payments war, Stripe’s direct ownership of millions of merchants gives it a crushing advantage over Circle’s middleware approach. Owning the customer is the only moat that matters.
See full notes