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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 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.
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August 14, 2025

Bittensor Brief #4: Could $TAO Enter The Top 10?

Hash Rate pod - Bitcoin, AI, DePIN, DeFi

Crypto
Key Takeaways:
  1. Incoming Institutional Tsunami: An estimated $1.5 billion in institutional capital is poised to enter the ecosystem in the next six months, which could single-handedly 5x the price due to limited exchange liquidity.
  2. The Subnet Demand Spiral: The core mechanics of registering and participating in subnets create a flywheel effect where ecosystem growth directly translates into increased demand and reduced circulating supply for $TAO.
  3. The Halving Supply Shock: A December halving will slash new $TAO emissions by 50%, tightening supply just as multiple demand vectors are peaking, creating a potentially explosive supply-demand imbalance.
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August 14, 2025

My $1,000,000 Crypto Playbook, Revealed

blocmates.

Crypto
Key Takeaways:
  1. **Right vs. Rich:** Stop trying to be right; focus on being profitable. Buy things you think are stupid if you believe the market will value them. The best trades often feel viscerally wrong.
  2. **Master the Modes:** The market operates in two modes. In "Easy Mode," go hard on early trends with concentrated size. In "Hard Mode," your only job is capital preservation. Hit the sell button and wait.
  3. **De-Risk Like a Pro:** When you feel like a genius and start looking at houses, it's time to cash out. Aggressively take 80%+ off the table to lock in your life-changing gains and protect your mental health. Opportunity is constant; your capital is not.
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August 13, 2025

Phantom CEO: Will Phantom IPO In The Future?

Lightspeed

Crypto
Key Takeaways:
  1. Mission Over Markets: Phantom will only consider an IPO if it directly serves its primary mission of bringing crypto mainstream. The decision is strategic, not reactive to market trends or a desire for validation.
  2. Discipline by Default: The company operates with the financial and operational rigor of a public entity, modeling itself after Coinbase, without taking on the regulatory burdens of an actual IPO.
  3. Complexity is a Cost: Avoiding the operational complexity of a public listing is a competitive advantage, enabling the team to allocate 100% of its resources toward building the business.
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August 12, 2025

Did ETH Just Trigger An Alt Season?

1000x Podcast

Crypto
Key Takeaways:
  1. Bet on the ETH Ecosystem. The bounce off cycle lows signals the start of an ETH-centric alt season. Look for opportunities within its ecosystem, as rising ETH prices create positive feedback loops for its native DeFi protocols.
  2. Aerodrome is a Top Pick on Base. AERO presents a compelling investment case due to its superior tokenomics, strong product-market fit on Base, lack of VC overhang, and recent technical breakout. It is positioned to capture massive value as Base grows.
  3. On-Chain Adoption Will Come Through CEXs. The most significant long-term catalyst is the seamless integration of on-chain ecosystems into centralized exchanges. This makes Base-native projects the primary beneficiaries of the next wave of retail adoption, driven by Coinbase.
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August 12, 2025

Most Common Founder Questions a16z Crypto Fields

Empire

Crypto
Key Takeaways:
  1. The conversation has shifted from "Can we build this?" to "How do we grow this?" Founders are now focused on shipping products, forging partnerships, and hiring talent, signaling a decisive move from infrastructure to business execution.
  2. Regulation is focusing on code, not conduct. The move to a "control-based" decentralization framework means what matters is how technically neutral your system is, not who is in your Slack channel.
  3. With scaling solved, UX is the new bottleneck. The industry has moved past the gas wars; the next great challenge is creating intuitive user experiences through better wallet design and key management.
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