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AI Podcasts

August 12, 2025

Bittensor Brief #3: Bitcast, Dippy (sn11) and ReadyAI (sn33)

Hash Rate pod - Bitcoin, AI, DePIN, DeFi

AI
Key Takeaways:
  1. Valuation Gaps Signal Market Inefficiency. Functional AI applications on Bittensor, like Dippy (SN11) and ReadyAI (SN33), are trading at valuations that are 100x to 1000x lower than their centralized equivalents.
  2. Product-Market Fit Is Already Here. These aren't just ideas on a whitepaper. Dippy has 8 million users and a token buyback program fueled by revenue, while ReadyAI’s AI-driven annotation is outperforming legacy human-based systems.
  3. Liquidity is the Coming Catalyst. The expansion of subnet tokens to major L1/L2s like Ethereum and Solana is the key event to watch. This will unlock mainstream liquidity and could be the trigger that forces a market re-pricing of these assets.
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August 8, 2025

How to Build an AI Research Agent for Crypto (For FREE) – No Code Required

blocmates.

AI
Key Takeaways:
  1. The Multi-Model Mandate. No single AI wins. Use Claude for API data (CoinGecko), Grok for real-time CT sentiment, ChatGPT for visual analysis, and Gemini for final report generation.
  2. Trust, But Verify. Aggressively. AI models frequently "hallucinate." Always cross-reference outputs between models (e.g., have Grok fact-check ChatGPT) to ensure data is accurate before making decisions.
  3. Weaponize Laziness. Leverage no-code connectors (like Claude's MCP) and dictation tools to automate repetitive data gathering, freeing you to do what humans do best: think critically.
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August 12, 2025

Mining BTC on Bittensor SN14 :: TaoHash :: Latent Holdings (+SN5 HONE Announced)

Opentensor Foundation

AI
Key Takeaways:
  1. Sustainable Subnets Outperform Brute Force. The TaoHash pivot proves that sound, trustless economics—like a subsidized pool fee model—are superior to naive, high-emission designs. Viability trumps hype.
  2. Targeting Grand Challenges, Not Just Scale. The HONE subnet is a targeted strike against a specific AGI benchmark where today’s massive models fail. This signals a strategic shift from simply training bigger LLMs to pioneering novel AI architectures.
  3. Infrastructure Is the Foundation of Innovation. The success of the entire Bittensor network hinges on the unglamorous but essential work of teams like Latent Holdings, who build and maintain the core tooling that empowers all other developers.
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August 8, 2025

Steven Sinofsky & Balaji Srinivasan on the Future of AI, Tech, & the Global World Order

a16z

AI
Key Takeaways:
  1. Antitrust is a moat for incumbents. By blocking M&A exits, regulators inadvertently protect big tech. They starve the startup ecosystem of the very capital that would fund the next generation of piranhas aiming to disrupt them.
  2. US AI dominance is not guaranteed. A perfect storm is brewing: domestic attacks via copyright lawsuits and energy constraints, combined with the strategic release of high-quality, open models from China, threatens to commoditize America’s lead.
  3. Go on offense with jurisdictional competition. Instead of playing defense in DC, the tech industry’s best move is to treat the US federal government as a monopoly and create competition. Proactively find and build in global jurisdictions that offer "speed of physics, not permits."
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August 11, 2025

Christopher Subia-Waud: Gradients Subnet 56, AI Fine-Tuning, Decentralized Post-Training | Ep. 57

Ventura Labs

AI
Key Takeaways
  1. Incentives are the ultimate hyperparameter. Gradients’ success proves that a well-designed, winner-take-all economic model can motivate a decentralized network to collectively out-innovate the world's biggest tech companies in complex tasks like AI fine-tuning.
  2. Open-sourcing the "secret sauce" is the path to enterprise trust. The shift to Gradients 5.0 directly tackles enterprise data privacy concerns by making the training process transparent and verifiable, paving the way for mainstream adoption and the creation of a best-in-class open-source AutoML script.
  3. The future of AI is composable and decentralized. The end goal is to stack specialized subnets—like Shoots for compute and Gradients for training—to build a vertically integrated AI that is more powerful, transparent, and accessible than anything built by a single corporation.
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August 8, 2025

The Hidden Threat of Centralized AI: Surveillance, Data Leaks, and What Comes Next

The People's AI

AI
Key Takeaways:
  1. AI Activates Dormant Data. Governments and corporations sit on oceans of data. AI gives them the key to instantly turn this raw information into invasive, comprehensive profiles.
  2. Decentralized AI Is a Business Imperative. The demand for privacy is a core requirement for enterprises in finance and healthcare that cannot risk sending proprietary data to centralized AI providers.
  3. Tokens Secure the System. In open AI networks, tokens are a critical governance tool. They use economic incentives like staking and slashing to enforce honest participation and secure the system against attacks.
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August 8, 2025

The Financial Repression Endgame | Weekly Roundup

Forward Guidance

AI
Key Takeaways:
  1. The Endgame is Financial Repression. All policy roads lead to currency dilution. The government will sacrifice real returns and price stability to finance its deficits and rescue failing pension systems.
  2. Invest in the Off-Ramp. The depression in assets like commercial real estate forces capital into "long volatility" assets like tech, AI, and crypto. This bifurcation explains the market's seemingly irrational rally.
  3. Brace for a Liquidity Minefield. September poses a significant risk as the Treasury issues massive debt without the Fed's RRP safety net. This, combined with a potential Supreme Court ruling on tariffs, creates a volatile cocktail for markets.
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August 8, 2025

Our GPT-5 first impressions (one thing you missed)

Trillion Agents

AI
Key Takeaways:
  1. Architecture is the new frontier. The move to a "Mixture of Models" is the real story of GPT-5. It’s the blueprint for future multi-agent systems, where coordination, not just raw power, is the key differentiator.
  2. The application layer is the battleground. As foundational models become a commodity, the fight for market dominance will move up the stack. Expect AI giants to build integrated, all-in-one agents, threatening to absorb the niche currently occupied by smaller startups.
  3. Ecosystems are becoming walled gardens. The uneasy truce between Big Tech platforms is fragile. Prepare for strategic "deplatforming" as companies like Google leverage their control over data and integrations (Gmail, Drive) to sideline competitors and favor their native AI.
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August 8, 2025

Novelty Search August 7, 2025

taostats

AI
Key Takeaways:
  1. **Sustainable Economics Trump Naive Subsidies.** Taoash’s pivot proves that simply wrapping a commodity in TAO isn't enough. Successful subnets require robust, self-sustaining economic loops that align incentives by returning primary value (BTC) directly to producers.
  2. **The New Frontier is Niche & Nimble.** Subnet 5 (Hone) is betting against sheer scale. By targeting a specific, difficult benchmark (ARC-AGI-2) with smaller, more efficient models, it aims to deliver a step-function AI breakthrough without the astronomical cost of frontier labs.
  3. **Invest in Measurable Missions.** Both subnets have quantifiable goals. Taoash targets a competitive net pool fee and a NiceHash-style marketplace. Hone is focused on winning the ARC-AGI-2 prize. This shift from vague roadmaps to falsifiable objectives is a defining feature of the network's next phase.
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Crypto Podcasts

July 15, 2025

Empire Cross-Post: The Crypto Treasury Playbook With Ben Forman & Josh Solesbury From ParaFi Capital

Bell Curve

Crypto
Key Takeaways:
  1. The Playbook is the Product. These vehicles are not passive holders. Their value comes from financial engineering—actively arbitraging their own stock premium/discount to accumulate more crypto per share, a dynamic ETFs lack.
  2. Saturation Will Lead to Consolidation. The market is becoming crowded with copycats. Expect a shakeout where many vehicles trade at a discount, leading to a wave of M&A as weaker players are absorbed by stronger ones.
  3. The Next Domino is Corporate America. Public companies and ETFs now own 10% of all Bitcoin. The next major catalyst is a non-crypto-native, Fortune 500 company allocating treasury reserves to Bitcoin, a move the speakers believe could happen within 12 months.
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July 15, 2025

Unchained LIVE: Pump.Fun ICO

Unchained

Crypto
Key Takeaways:
  1. The ICO Meta is Back, On-Chain First: Pump.Fun proved massive capital formation can happen directly on-chain. Pre-launch perpetuals on DEXs like Hyperliquid outmaneuvered centralized exchanges for price discovery, signaling a shift in market infrastructure.
  2. Sentiment is Not Demand: The chasm between negative online chatter and the ICO's massive oversubscription shows that vocal minorities don't always represent market appetite, especially when "complaining is profitable."
  3. Competition is King: Despite its war chest, Pump.Fun's dominance isn't guaranteed. The rise of Let's Bonk demonstrates that in crypto, a strong community-aligned brand can rapidly challenge even the most capitalized incumbent.
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July 14, 2025

How High Can It Go?

1000x Podcast

Crypto
Key Takeaways:
  1. **Follow the M2, Not the Alts:** Bitcoin's trajectory is tied to global money printing. Ignore the noise from crappy altcoins and focus on the primary debasement hedge.
  2. **Monitor the "MSTR Clones":** The rise of treasury companies is pumping the market but creating immense, correlated risk. Their eventual selling will be a key market-top signal.
  3. **Plan Your Exit Now:** Decide whether you're a trend-rider or a target-hitter. Consider rotating profits into other hard assets like gold rather than fiat, but have a clear plan before the music stops.
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July 14, 2025

The Crypto Treasury Playbook

Empire

Crypto
Key Takeaways
  1. Active Arbitrage, Not Passive Holding: These companies are not just ETFs. They are active financial vehicles designed to outperform spot assets by skillfully arbitraging their own stock and employing complex capital market strategies.
  2. Buyer Beware: The market is saturated with low-quality copycats. While PIPE investors can structure deals to their advantage, retail investors buying on the open market face significant risks from inflated premiums and short-term opportunism.
  3. The Next Domino: The real catalyst for Bitcoin adoption isn't this wave of treasury vehicles, but the first "Mag 7" company adding BTC to its balance sheet. This would validate the strategy for the Fortune 500 and unleash an entirely new class of institutional buyers.
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July 12, 2025

How PumpDotFun Could Capture The Intersection Of Content, Crypto And Gaming

Empire

Crypto
Key Takeaways
  1. The New Media Blueprint: The winning strategy is a blend of long-form, authentic live streams and hyper-optimized social clips. Platforms that natively support this will win.
  2. Content, Not Just Coins: To achieve longevity, Pump.fun must evolve beyond a pure trading terminal. It needs to give users a reason to stay that isn't just watching a chart.
  3. Finance Is Entertainment: For a new generation, trading is a competitive social game. The most successful platforms will be those that embrace this "leaderboard" mentality and build entertainment-first financial experiences.
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July 12, 2025

Phantom Chooses Hyperliquid for Perps | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. Distribution is the New Moat: Wallets like Phantom are becoming aggregator kings. By integrating the best backend protocol (Hyperliquid), they can dominate user flow and marginalize competing applications.
  2. Infrastructure Eats Applications: Hyperliquid’s success stems from its focus on being a permissionless infrastructure layer, not just an app. It outsources distribution to capture flow from the entire crypto ecosystem, a model that standalone DEXes will find nearly impossible to compete with.
  3. Mobile is Crypto’s Next Frontier: Phantom’s mobile-only perp launch is a bet that the next wave of users will prioritize convenience and native experiences. Its initial success signals a critical shift in how DeFi applications must be designed and delivered.
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