Interview with an industry expert on why hyperscalers remain the right choice for sensitive workloads ( $AMZN, $MSFT, $GOOGL, $CRWV ): - The expert highlights a new approach to data platform modernization that replaces traditional data engineering with agentic packages built with AI labs, to avoid spending months and millions of dollars building out hundreds of ETL and analytic data products the conventional way. The engagement typically runs one to two years, covering platform setup, installation of agentic packages, and training the client's team, after which the client decides whether to take operations in-house, bring in another partner, or continue the relationship. - The expert notes that the expected shift toward open source models never materialized. Until now, frontier models with strong reasoning capabilities have consistently outperformed open source alternatives when layered with agents, and the market moved toward agentic adoption rather than fine-tuning. - On cost, the expert explains that open source models require procuring GPUs, training, deploying, and managing clusters that run 24/7, making the economics only favorable at very high API call volumes that most enterprise use cases have not yet reached, leaving pay-as-you-go frontier models as the more practical choice at current scale. - Security and compliance present another barrier, with most large organizations having legal and security teams that have not approved open source or Chinese models for use on actual customer data. Frontier models from Anthropic and OpenAI have a clear advantage here as they are natively integrated within major cloud providers like AWS and Azure, making them far easier to clear through enterprise security policies. - The expert emphasizes that enterprise AI adoption is still in very early stages, with most Fortune 500 companies having done a handful of POCs but very few having actually deployed full-scale agentic solutions in production. Confidence is low, adoption is low, and the expert sees an enormous amount of runway still ahead, both for large enterprises and the broader mid-market. - The expert believes hyperscalers remain the right choice for sensitive workloads given their established security and data privacy frameworks, while newer neoclouds are being engaged for different, less sensitive types of workflows. The distinction matters because the kind of work being put through neoclouds is significantly different from what runs through hyperscalers, reflecting a practical split based on security requirements rather than performance preferences.

Interview with Sam Altman, CEO of @OpenAI 🔥 Main topics: Why AI adoption is still slow, the missing "iPhone moment", scaling models and compute, AI's biggest risks and safety, context and memory as the next interface, OpenAI's platform strategy.

INTERVIEW: The EIP That Destroys DeFi | Stani Kulechov & Mike Silagadze Ethereum’s latest staking proposal is sparking backlash across DeFi. @aave founder @StaniKulechov and @ether_fi CEO @MikeSilagadze join @TrustlessState to break down why stake tapering could push $ETH yield toward zero, weaken solo staking, drive capital out of DeFi, and make ETH less attractive to institutions. They debate Ethereum’s monetary policy, whether the network is overpaying for security, and why trying to make ETH more like Bitcoin could undermine what makes Ethereum valuable in the first place. [TIMESTAMPS] Intro 0:00 0:09 Ethereum’s Staking Debate 2:41 Stani’s First Reaction 7:48 Mike’s Centralization Concerns 14:37 DeFi Under Pressure 17:15 Stani on Yield and Cash Flow 24:54 The Case for Vanilla Ether 27:20 Mike Pushes Back 34:27 Issuance and Monetary Policy 35:16 Minimum Viable Issuance 40:47 Institutions Need Predictability 46:10 Conservative Yield, Not Zero 47:46 Legitimacy and Process 52:54 Final Verdict on the EIP

INTERVIEW: Why Every Chain, Wallet & App Is Integrating NEAR Intents | Kendall Cole @NEARProtocol wants users to stop thinking about blockchains altogether. @proximityfi co-founder Kendall Cole joins @TrustlessState to explain how @near_intents connects 35 chains, powers products like @infinex, brings tokenized assets and confidential transactions into one seamless experience, and turns fragmented crypto markets into a single account where users see assets, not infrastructure. [TIMESTAMPS] 0:00 Intro 2:29 Chains Need Neutrality 4:20 Near’s Chain Abstraction Vision 6:03 Wallets to Retail Expansion 9:30 Bootstrapping Liquidity and Partners 11:23 RWA Asset Explosion 15:00 Tokenized Stocks on Near 15:57 One App Across Chains 19:01 Near as Chain Abstraction 21:35 Trading Bots and Payments 24:54 MiCA’s Market Shock 28:16 Noncustodial Compliance Strategy 29:17 Euro Onramps into Near 31:38 Regulation Meets On-Chain Freedom 38:09 Confidential Intents Launch 41:15 Privacy for Users and Firms 43:36 Private zcash:native Routing 46:50 Privacy for AI Models 49:52 near:native’s Fee Capture Model 52:19 Crypto as Exchange Infrastructure

INTERVIEW: Wall Street’s Crypto Golden Era? | Charles Schwab’s Director of Digital Currencies Research & Strategy, Jim Ferraioli Crypto natives are giving up just as Wall Street is leaning in? @SchwabResearch's Jim Ferraioli joins @TrustlessState to explain why crypto may be living through its dot-com bust, what bitcoin:native actually is in a portfolio, why ethereum:native may already be a real economy, and where the next phase of institutional adoption could come from. [TIMESTAMPS] 0:00 Intro 3:15 Who Schwab Clients Are 5:42 First-Cycle Bitcoin Pain 8:45 Bitcoin Isn’t Digital Gold 15:46 Retail Gives Way to Institutions 20:27 ETF Flows and Allocations 22:59 Saylor, Strategy, and Bitcoin 28:23 Crypto’s Quiet Recession 36:38 Ether as Liquid VC 43:15 How ETH Price Rises 48:13 Perps, Hyperliquid, and Defense 54:05 Reading Crypto Signal