BITCOIN HOLDERS BEWARE!!!! 🚨🚨🚨 00:00 Intro - BTC still around the 200 WMA 00:13 BTC weekly chart - Quite nice CPI yet BTC still in bottoming formation. Boredom rules 01:00 Fidelity Spot ETF rising 01:27 CPI made stocks rise - SpaceX time to buy 02:30 SpaceX Elon pumping us to Valhalla - Pivoting to AI 03:00 Kardashev scale - Level up on energy usage 04:42 SPCX 1H chart - many people hae missed the flip 05:48 Bullmania AI - US Stocks pump last 24H 06:40 Shout out to Bullmania - Use the AI 07:43 Saylor Cinematography - BTC is for everyone 09:00 Another Saylor video 09:52 Saylor video - revisited 10:48 All greed - no fear. CPI eases pressure on FED to hike 11:31 Elon video - Company update. 15:48 Elon shocked the world again - Path to 300B ARR 16:53 SEC has major crypto plans coming - boring 17:29 Do 360 investing - Stocks is where the action is at for now 18:25 Fidelity staking ETH 18:56 Goldman Sachs leaps into BTC 19:12 Bitwise CIO video - BTC has bottomed 22:16 Pay attention - accumulation time. Exiting the bear 22:40 Q and A 22:58 AI - CPI exhale trading 23:40 Q1: BIP-110 is closed. Hard fork coming? 25:35 Q2: SOL near halt news? 28:58 Q3: Why do degens go to SOL? 30:53 Q4: Cardano tech is so good you can do anything with it? 34:30 Q5: Nearly all protocols have died on Cardano? 35:12 Q6: ADA did IOG projects in Africa? 36:33 AI answer - DeFi troubles on ADA in the past with eUTXO 37:30 ADA and Pulsechain roast 38:53 Crazy idea - Adding ADA and XRP to the morning prompt 40:45 Adding Robinhood chain 41:08 Asking AI - Robinhood chain and XRP 46:00 Why Robinhood Chain is not good for ETH 47:24 Q7: Is XMR private and confidential? 48:19 Q8: Will alt season start with meme season? 51:02 AI answer - XMR privacy 53:00 About dandylions 55:50 Shout out to Bullmania 56:25 Outro

Digital credit is only a year old, which makes clear explanations & institutional risk framing essential. @NateGeraci asked the tough questions on digital credit, $SATA, $ASST, the $BTC drawdown & more. My full conversation on @CryptoPrimePod. TIMESTAMPS 00:00 Intro: Matt Cole on Strive and SATA 01:09 Strive’s shift into structured finance 02:44 ASST vs. SATA: amplified Bitcoin exposure vs. digital credit 07:28 What SATA is and how the preferred equity works 10:12 Why Strive calls SATA “digital credit” 13:32 Credit risk, Bitcoin drawdowns, and Strive’s reserves 17:46 Bitcoin return scenarios and SATA dividend sustainability 20:25 Bitcoin as collateral vs. cash-flowing assets 25:08 Does a 13% dividend mean higher risk? 29:47 How digital credit should be marketed 34:30 SATA vs. Strategy’s Stretch 36:25 Strategy, Michael Saylor, and Bitcoin’s market narrative 41:04 Why Bitcoin has drawn down 43:02 AI, IPOs, and capital flowing away from Bitcoin 43:44 OG Bitcoin holder selling pressure 47:20 What could bring Bitcoin momentum back 50:43 Closing thoughts

Day 2 | Panel 02: When AI Holds the Wallet 🎙️ A huge thank you to our panel for a high-impact Main Stage session diving deep into agents, payments, and machine-speed money: • @alohaleonardox | Co-Founder & CTO, @AEON_Community • @MRRydon | Co-Founder, @AethirCloud • @francescoswiss | Director of Developer Relations, @MetaMask • @zerocipher002 | CEO, @VulsightSec Moderated by: @SujalJethwani | Founder, @TheSujalShow Thank you for bringing massive alpha to Gardens by the Bay! 🇸🇬 #CoinFerenceX# #TheBestEvent#

AI in the enterprise has a messaging problem. The industry sold transformation and delivered meeting summaries. On this episode of Bit by Bit: Leadership Conversations, Tom Butler, Vice President of WW Commercial Portfolio and Product Management at @Lenovo, explains why enterprise AI adoption has stalled, and why the real shift is not about saving people time. It is about reshaping what they do with it. We get into workflow over personas, why “no one cares” about the NPU, and his AI Knights of the Round Table approach to spreading what actually works across an organization. 00:16 PC Market Meets AI 02:41 Rollercoaster Cycles And Refresh 05:05 Workflow First Buying Shift 06:37 Different Sectors Different Speeds 08:51 Storytelling Missteps And Value 10:32 Hybrid AI Edge Versus Cloud 14:39 Security Governance Reality Check 16:40 Culture Shift Outcomes Over Devices 21:15 Middle Management Friction 24:59 Rebuilding Trust With Transparency 30:09 IT Buying Gets More Surgical 33:27 Advice And AI Knights Playbook 37:23 Closing Thoughts And Thanks

Freedom Tech DC: After Clarity -- Lessons for AI Policy with @patrickjwitt and @Bayman11771 - Legislation can give digital assets more durable rules than agency action alone - AI agents and digital payments make a clear federal framework increasingly urgent - Educating Congress is cumulative: a legislative setback does not erase what lawmakers learned - Open-source developer protections safeguard privacy, autonomy and self-custody alongside innovation - Bitcoin reserve and crypto tax provisions could find a path through reconciliation, but the prospects remain uncertain (00:00) — Introduction (01:08) — What comes after the CLARITY setback? (02:17) — AI agents, payments and regulatory durability (03:56) — Lessons from educating Congress (06:54) — How AI companies engage with policymakers (08:54) — Open-source developers and civil liberties (11:47) — Reserve, crypto tax and reconciliation prospects

"I think Bitcoin will start this bull market, but I actually think that this bull market is an altcoin bull market," says @cryptomanran of @crypto_banter. Watch the full conversation on Markets Outlook with @jennsanasie 00:00 - Ran Neuner Joins Markets Outlook 00:45 - The Golden Cross and Bitcoin's Pullback 02:31 - Bessent's Buybacks and Why $6B Disappointed the Market 03:56 - Oil, the War, and Trump's $1.4T Stimulus Promise 06:47 - Brand New Rails: Tokenized WTI Crude Oil 09:37 - "Crypto's Biggest Bull Market Ever" 11:33 - ETH Breaks a Nine-Year Downtrend Against Bitcoin 14:03 - Altcoins to 7X Bitcoin? Crypto's Product Market Fit 18:02 - Why AI Agents Are Crypto's Real Use Case 19:54 - What Makes an Altcoin Win: Users, Revenue, Buybacks

I had a chance to sit down with Demis Hassabis to discuss his goal of solving intelligence and using it to help cure all disease. But what I found most compelling wasn't the scale of the mission, but @demishassabis himself. His level of focus is extraordinary. We talked about the personal cost of pursuing a mission this ambitious, and the tension between the two sides of his work: the CEO of a commercial entity and the scientist driven by a humanitarian vision. It was an absolutely fascinating conversation, and a deep honor to speak with one of the most important minds of our time. Thank you to the @GoogleDeepMind team for having me. (0:00) Curing Every Disease in a Decade (1:04) Gemini for Science (2:01) Changing Science Forever with AlphaFold (4:04) Can Humans Trust AI In The Medical Field? (6:02) Generative AI vs. Practical AI (7:03) The Tension Between CEO & Scientist (8:28) AGI by 2030 (10:07) The Chess Prodigy Turned CEO (11:20) Ender's Game & What This Mission Has Cost

The next frontier of AI is physical. At Web Investor Day 2026, we explored what it takes to bring intelligent machines into the real world: better data, deployable hardware, robot fleets, financing + machine-to-machine payments. Full Physical AI panel recap below👇 00:00 Physical AI Landscape and Panelist Introductions 02:11 Driving Forces Behind Physical AI Acceleration 02:29 Hardware Problem Solved and Investment Viability 03:31 End-to-End Machine Learning for Physical AI 04:33 Physical AI as a Financial Asset and Market Boom 06:24 AI Lab Success and Self-Driving Impact on Physical AI 07:24 Data Collection Methods and Market Trajectory 08:10 Teleoperation, Simulation 09:39 Prioritizing Teleoperated Data for Commercial Success 12:01 Maximizing High-Quality Data for Model Training 14:59 Crypto's Role: Robo-Financing and Agentic Payments for Physical AI 19:28 Orchestration of Physical AI Fleets and Multi-Robot Tasks 22:19 Teleoperation for Home Robots and Industrial Deployments 23:37 Q&A: Data Standards and Diversity for Training Useful Robots @abdulalali of Decasonic @castorhat of @PrismaXai Paige Xu of @FabricFND Amanda Young of @BitRobotNetwork

Today on MCG $PRISM | @prismassets w/@Hash_hopes Prism is a marketplace for buying, selling and tokenizing real-world assets with AI Highlights: 02:43 - Hash's background 04:19 - Start and Origin 06:21 - Now live with 2410 assets, 68 issuers 07:58 - Core problem & tokenized assets stay illiquid 09:04 - Traction & Volume so far 10:36 - Vs Robinhood and Ondo 12:45 - Permissioned and permissionless venues both 13:19 - Synthetics pool, mint gold with Bitcoin 14:22 - Verification layer, PrismScore and reserves 19:58 - Fully non-custodial, funds stay with users 20:18 - Revenue models(Business Model) 23:36 - Volume strategy, partnering with issuers 27:08 - New launchpad in 3 days! 28:22 - Closing Thoughts

Your startup intuitions were trained on a world that no longer exists. Steven Sinofsky and Martin Casado have watched computing flip from an engineering-bound field to a capital-bound industry. Twenty people can now put a billion dollars to work productively, AI solves the distribution problem that kept startups small, and challengers sit on a level playing field with Microsoft and Meta for the first time. With Erik Torenberg, they get into why some mathematicians are cheering on their own automation, every AI panic that already happened in past eras of computing, and why nobody can predict the capabilities of a model built with $20 billion. 00:55 Why mathematicians love being automated 02:45 Is AI math worth any money? 08:50 The first proof humans couldn't check 14:35 Computing before electricity 19:50 How IBM explained computers in 1953 26:00 The failed computer that birthed the web 27:50 When Harvard banned computers from exams 30:20 Is AI just another abstraction layer? 38:15 When 20 people can spend $1B productively 42:50 The zero-sum VC myth 46:25 Disruption is physics, not business school 53:25 The chip Intel called a printer part 55:05 What a $20B model can do 59:45 What Martin got wrong about AI risk YouTube: @stevesi @martin_casado @eriktorenberg