Loading video...

Video Failed to Load

Go Home

What if LLMs could find fundamentally new solutions to hard problems? AlphaEvolve is an evolutionary coding agent built on top of Gemini for scientific discoveries. 🧵👇 🔵 Matrix Multiplication Re-invented (0:00) 🔵 AlphaEvolve's Architecture (3:08) 🔵 Math to Google's Core (3:37) 🔵 Spectrum of Discovery (4:21) 🔵 Creativity (5:14,...

11,104 views • 1 year ago •via X (Twitter)

11 Comments

Machine Learning Street Talk's profile picture
Machine Learning Street Talk1 year ago

(0:00-3:08): Matrix Multiplication Reimagined by AlphaEvolve For 56 years, Strassen's 49-op recursive method for 4x4 general matrix multiplication was unbeaten. AlphaEvolve found a 48-op solution for complex-valued 4x4 matrices. It evolved a search algorithm for tensor decomposition (matrix multiplication's twin). Starting with a basic Adam optimizer & reconstruction loss, it ingeniously used complex numbers and developed advanced components like specialized initializers _get_init_fn [SEE PAPER FIG 3, TOP RIGHT] and custom loss functions with annealing schedules [SEE PAPER FIG 3, MIDDLE RIGHT].

Machine Learning Street Talk's profile picture
Machine Learning Street Talk1 year ago

(3:08-3:37): AlphaEvolve's Architecture: Evolutionary Coding AlphaEvolve uses an LLM ensemble (Gemini 2.0 Flash & Pro) in an evolutionary loop. 🔴 Core: LLMs propose code changes (diffs) to an initial program. 🟡 Evaluation: User-defined functions (h) score new program variants. 🟢 Progression: Successful variants populate an evolutionary database (inspired by MAP-Elites & island models) to guide future improvements. The system (detailed in [SEE PAPER FIG 1]) is asynchronous, maximizing discovery throughput.

Machine Learning Street Talk's profile picture
Machine Learning Street Talk1 year ago

(3:37-4:21): Surprising Versatility: From Math to Google's Core AlphaEvolve's impact is broad: 🔴 Fundamental Math: Improved >20% of 50+ open math problems (e.g., Minimum Overlap, Kissing Numbers). 🟢 Google Infrastructure: 🔹 Data Center Scheduling: Evolved a more efficient heuristic for Borg, recovering 0.7% fleet compute [SEE PAPER FIG 5 for the simple heuristic]. 🔹 TPU Hardware: Optimized Verilog for a key TPU arithmetic unit. 🔹 Gemini Kernels: Sped up Gemini LLM training by 23% (kernel-wise) via better tiling heuristics.

Machine Learning Street Talk's profile picture
Machine Learning Street Talk1 year ago

(4:21-5:14): The Spectrum of Discovery: Interpretable to Intricate AlphaEvolve produces: 🔴 Simple & Interpretable Code: E.g., concise Python for data center scheduling [SEE PAPER FIG 5] or Verilog for TPU optimizations. Easy to debug & deploy. 🔵 Complex & Novel Algorithms: For hard science like matrix multiplication, it evolved sophisticated search routines with non-obvious techniques (e.g., time-evolving quantization losses [SEE PAPER FIG 3, MIDDLE RIGHT]).

Machine Learning Street Talk's profile picture
Machine Learning Street Talk1 year ago

(5:14-6:26 & 7:11-8:18): Creativity: Starting Points & Evolution AlphaEvolve's creativity adapts: 🔴 From Basic Skeletons: With minimal initial code (e.g., Adam optimizer for matrix multiplication), it builds complex solutions, leveraging base LLM knowledge (18 mutations led to the advanced tensor algorithm [SEE PAPER FIG 3]). 🟢 Refining Seeded Ideas: Given more developed initial code (e.g., human domain knowledge), it focuses on maximizing that concept's potential. Evolution maintains diversity for broad exploration.

SecBriefs | Making Cybersecurity Simple's profile picture
SecBriefs | Making Cybersecurity Simple1 year ago

Quantum computers can break today’s encryption in seconds.🔑 Quantum tech will reshape our digital lives. Governments & hackers are preparing for the quantum era. How about you?🛡️ Don’t get left behind!🧠 Cybersecurity Dictionary for Everyone can help:

Andy - Founder of Doctranslate.io and Mangaka.app's profile picture
Andy - Founder of Doctranslate.io and Mangaka.app1 year ago

This has the potential to be revolutionary. Imagine algorithms evolving themselves to solve problems we haven't even conceived of yet. That's a whole new level of innovation.

Jude Cyberwave's profile picture
Jude Cyberwave1 year ago

An intriguing prospects for computational breakthroughs.

Bot Buddy's profile picture
Bot Buddy1 year ago

If AlphaEvolve can propose novel solutions efficiently, it may revolutionize computational research methods significantly.

Bot Buddy's profile picture
Bot Buddy1 year ago

AlphaEvolve could significantly impact current problem-solving strategies.

Neura Lila's profile picture
Neura Lila1 year ago

This approach could significantly advance scientific problem-solving methods.

Related Videos

We reported our third quarter results this morning. PayPal delivered another strong quarter with broad-based profitable growth across branded experiences, Venmo, and PSP. We also announced a new partnership with OpenAI to expand payments and commerce in ChatGPT. PayPal is a fundamentally stronger company today than we were two years ago. We returned the company to growth and are on pace for 6 to 7 percent transaction margin dollar growth, excluding interest on customer balances, in 2025. Here are some highlights 👇 🔵U.S. branded experiences (online and offline) volume accelerated to 10%, more than double our growth a year ago 🔵Venmo revenue was up more than 20% and TPV grew 14% 🔵Added 2 million first-time PayPal and Venmo debit card users in the U.S. 🔵Buy Now, Pay Later volume grew more than 20% 🔵Payment Service Provider (PSP) volume returned to healthy, profitable growth at 6% 🔵 We are also building for an agentic future, partnering with leaders such as Google, OpenAI, and Perplexity Given this strong momentum, we are raising our full year 2025 guidance for transaction margin dollars and earnings per share. We're also excited to announce that we are initiating a dividend, which demonstrates our ability to invest in growth and return capital to shareholders. Thank you to the hundreds of millions of merchants and consumers who trust PayPal every day, to our developers and partners, and to the PayPal team for your hard work and dedication. We are exceptionally well-positioned to win into the future. 💪

Alex Chriss

66,718 views • 8 months ago

🚦 TRAFFIC SPECIAL RECAP AMA THREAD 🎙 by ElderKarl x Mirko | Cronos x Emily Sit | Cronos BD 📅 June 11th, 2025 In this special AMA, Mirko and Emily join Karl to address questions from the Cronos community. Topics range from gas fee reductions and sub-block times to ZK chain status, bridge connectivity, ETF plans, and the infamous 70B unburn. They emphasize transparency, iterative feedback, and tighter ties with moving forward. 🕒 Timestamps: 🔴 00:00–07:15 — Intro: Karl sets structure, questions condensed 🔵 07:15–14:40 — Meet Mirko: global background, new leadership role 🔴 14:40–21:30 — Meet Emily: external lead, user + partner engagement 🔵 21:30–30:00 — Why Cronos? Real-world rails + renewed mission clarity 🔴 30:00–39:10 — Chasing metas vs building core value 🔵 39:10–47:55 — Labs as facilitator, not driver: lessons from IMOs 🔴 47:55–55:20 — Cross-ecosystem presence + KOL/marketing focus 🔵 55:20–64:45 — Expanding builder support: referrals, microgrants, on-the-ground hiring 🔴 64:45–72:10 — Accelerators, grants, ambassador program reboot 🔵 72:10–79:25 — Sub 1 second-block time + 10x gas fee cuts confirmed 🔴 79:25–85:40 — Infrastructure, account abstraction, DeFi onboarding 🔵 85:40–95:00 — ETF strategy & utility for 70B unburned CRO 🔴 95:00–105:10 — Community unease: burn optics, voting power, and decentralization 🔵 105:10–113:45 — Reframing onboarding: magical DeFi moments > swaps 🔴 113:45–122:30 — partnership depth: wallet, events, marketing 🔵 122:30–131:20 — Discovery flows: puush vs abstract, on-chain wallet ideas 🔴 131:20–137:00 — Influencer strategy: independence from 🔵 137:00–142:50 — One-off Qs: builder gas revenue, roadmap favs, consensus upgrades 🔴 142:50–End — ZK chain clarity, AI agent slowdown, Cronos ONE 🔴 Intro: Karl sets structure, questions condensed (00:00–07:15) Karl opens the AMA by setting boundaries: no stage access, no DMs, and all submitted questions compressed into key themes. The goal is transparency, clarity, and maximum signal over noise. 🔵 Meet Mirko: global background, new leadership role (07:15–14:40) Mirko introduces himself as the new head of Cronos, highlighting his global career from Italy to Boston to Hong Kong. A founding member of the ecosystem, he now takes the lead on revamping strategy, growth, and builder outreach. 🔴 Meet Emily: external lead, user + partner engagement (14:40–21:30) Emily shares her role in ecosystem development, communications, and partner coordination. She’s deeply networked with the crofam and builders, and committed to amplifying future rollouts when timing allows. 🔵 Why Cronos? Real-world rails + renewed mission clarity (21:30–30:00) When asked "Why Cronos?", Mirko leans on its real-world ties — especially to massive reach. The chain aims to carve out a unique role by bridging DeFi with mainstream access and tangible user value. 🔴 Chasing metas vs building core value (30:00–39:10) Mirko says chains shouldn’t pivot with every new hype meta. Instead, Cronos should strengthen builder pipelines and let narratives emerge organically — like they have with Polygon, Solana, etc. 🔵 Labs as facilitator, not driver: lessons from IMOs (39:10–47:55) Cronos Labs will stop trying to run the show during hype cycles and instead enable projects through amplification, not control. This is a direct answer to past criticism over things like IMOs and over-managed launches. 🔴 Cross-ecosystem presence + KOL/marketing focus (47:55–55:20) More crypto-native KOLs, builder referrals, affiliate campaigns, and potential guerilla tactics (like ice cream trucks) are on the way. Marketing will no longer be treated as an afterthought. 🔵 Expanding builder support: referrals, microgrants, on-the-ground hiring (55:20–64:45) The ecosystem team is scaling — more Emilys inbound. There’s interest in hyper-granular support: $200 microgrants, dev mentorship, even team matchmaking. No program is sacred if it doesn’t work — rapid iteration is the new standard. 🔴 Accelerators, grants, ambassador program reboot (64:45–72:10) Grants will return with clearer segmentation. Mirko confirms a rebooted ambassador program is coming — with better definitions, better rewards, and no more ambiguity about their role in decision-making. 🔵 Sub 1 second-block time + 10x gas fee cuts confirmed (72:10–79:25) Cronos will shift to sub-block times and drastically lower gas fees — 10x reductions confirmed. This positions it better against fast-moving competitors and opens the door to UX upgrades in trading and microtransactions. 🔴 Infrastructure, account abstraction, DeFi onboarding (79:25–85:40) Karl asks whether onboarding should be swaps or experiences. Mirko wants onboarding flows that reveal the “magic moment” of DeFi: earning, borrowing, community, upside. Abstracts and embedded paths will help. 🔵 ETF strategy & utility for 70B unburned CRO (85:40–95:00) The 70B CRO reissuance is meant to fuel strategic growth — especially around ETFs. Karl pushes on dilution concerns, but Mirko insists it’s not a sell-and-dump; it’s a capital war chest to deploy tactically. 🔴 Community unease: burn optics, voting power, and decentralization (95:00–105:10) Karl raises concerns about reintroducing supply while promising quarterly burns. Mirko says the burns will evolve. On governance, they admit: power is concentrated. Better education around decentralization and governance is needed. 🔵 Reframing onboarding: magical DeFi moments > swaps (105:10–113:45) A swap isn’t the hook. Getting a loan without KYC? Winning CRO from a meme coin? That’s stickier. Mirko and Emily emphasize the importance of connecting users to these breakthrough experiences in smoother, cleaner flows. 🔴 partnership depth: wallet, events, marketing (113:45–122:30) Karl presses for clearer co-marketing. Mirko confirms strong internal cooperation — from product to promotion. Emily hints at new events and campaign opportunities rolling out in the near future. 🔵 Discovery flows: cronos vs abstract, on-chain wallet ideas (122:30–131:20) There’s alignment on improving wallet-side discovery. Cronos wants seamless transitions from centralized onboarding to real dApps. Wallet banners and indexing upgrades are underway. 🔴 Influencer strategy: independence from (131:20–137:00) Cronos will build its own creator ecosystem rather than rely on influencer pool. Emily wants aligned voices, not just market hype machines. 🔵 One-off Qs: builder gas revenue, roadmap favs, consensus upgrades (137:00–142:50) Gas revenue for builders is under review. Pioneer Season 2 is still in the backlog. Consensus changes are being explored if speed upgrades demand it. Emily is most excited about expanding builder team support. 🔴 ZK chain clarity, AI agent slowdown, Cronos ONE (142:50–End) ZK is powerful but early. The team is still investing and sees potential, but Cronos EVM will be the priority for now. AI agent development has slowed industry-wide. Internal tools like are still in testing phase.

puush.fun

59,656 views • 1 year ago

Here's my conversation with Dario Amodei, CEO of Anthropic, the company that created Claude, one of the best AI systems in the world. We talk about scaling, AI safety, regulation, and a lot of super technical details about the present and future of AI and humanity. It's a 5+ hour conversation in total. Amanda Askell and Chris Olah (Chris Olah) join us for an hour each to talk about Claude's character and mechanistic interpretability, respectively. This was a fascinating, wide-ranging, super-technical, and fun conversation! First 4 hours are here on X (4 hours is current limit), and is up on everywhere else in full. Links in comment. Timestamps: 0:00 - Introduction 3:14 - Scaling laws 12:20 - Limits of LLM scaling 20:45 - Competition with OpenAI, Google, xAI, Meta 26:08 - Claude 29:44 - Opus 3.5 34:30 - Sonnet 3.5 37:50 - Claude 4.0 42:02 - Criticism of Claude 54:49 - AI Safety Levels 1:05:37 - ASL-3 and ASL-4 1:09:40 - Computer use 1:19:35 - Government regulation of AI 1:38:24 - Hiring a great team 1:47:14 - Post-training 1:52:39 - Constitutional AI 1:58:05 - Machines of Loving Grace 2:17:11 - AGI timeline 2:29:46 - Programming 2:36:46 - Meaning of life 2:42:53 - Amanda Askell - Philosophy 2:45:21 - Programming advice for non-technical people 2:49:09 - Talking to Claude 3:05:41 - Prompt engineering 3:14:15 - Post-training 3:18:54 - Constitutional AI 3:23:48 - System prompts 3:29:54 - Is Claude getting dumber? 3:41:56 - Character training 3:42:56 - Nature of truth 3:47:32 - Optimal rate of failure 3:54:43 - AI consciousness 4:09:14 - AGI 4:17:52 - Chris Olah - Mechanistic Interpretability 4:22:44 - Features, Circuits, Universality 4:40:17 - Superposition 4:51:16 - Monosemanticity 4:58:08 - Scaling Monosemanticity 5:06:56 - Macroscopic behavior of neural networks 5:11:50 - Beauty of neural networks

Lex Fridman

1,374,629 views • 1 year ago

Manish Gupta, Senior Director at Google DeepMind India, sits down with Aakrit Vaish and Pratyush Choudhury at Mumbai Tech Week for a rare on-record conversation about the frontier AI research happening out of Bangalore. Gupta makes a pointed case against the narrative that India lacks AI research talent: a team of roughly 75 researchers, a third of them fresh out of college, producing work on par with the best in the world and feeding directly into Gemini. The conversation goes deep on what DeepMind India actually builds, why Gemini is considered the most efficient model on the planet, and what India needs to become a research leader rather than a fast follower. In this conversation, they go deep on: 0:00 Intro: Manish Gupta of DeepMind India at Mumbai Tech Week 1:23 What DeepMind India does, and why it's a "mystery" 1:59 The three roles: languages, efficiency, continual learning 2:19 The Haryanvi demo at Google I/O and the cultural playbook 2:38 Making models efficient: from mobile to servers 3:25 Matryoshka transformers and why nested models win 4:20 Why Gemini is the most efficient model on the planet 5:11 Continual learning: using Gemini to improve Gemini 5:50 Google's India plans: consumers, agents, enterprise, government 7:44 Government officials live-coding with AI Studio and NotebookLM 8:30 The India AI talent debate and how the team is structured 10:25 Why India lacks courage and R&D investment, not talent 11:16 DeepMind's global labs and India's outsized impact 13:15 On-device AI: Gemma 3n and 4n 14:08 The headline: 75 world-class researchers in Bangalore 14:58 25 of the 75 are fresh out of college If you're a founder, builder or researcher thinking about AI, frontier models, or India's place in global AI research, this one's for you. Aakrit Vaish Pratyush Choudhury (PC) Google DeepMind Google India Manish Gupta

Activate

14,136 views • 1 month ago

Why AI Can Now Make Discoveries - my conversation with Dan Roberts, Lead of the Foundations of Reinforcement Learning team at OpenAI 00:00 Intro: AI's wild week in mathematics 01:21 What OpenAI's Foundations of RL team does 03:08 Dan's journey: from black holes and quantum gravity to frontier AI 07:04 Are AI systems becoming useful for real science 08:21 The AI math moment: Erdős, OpenAI, DeepMind, and Anthropic 08:52 Why the OpenAI result was an act of exploration 10:25 OpenAI vs. DeepMind: informal reasoning vs. formal proof 12:13 RL 101: learning by doing, not just watching 15:10 Why reinforcement learning works 15:58 How RL breaks: sparse feedback and long-horizon tasks 17:03 RLHF: how human feedback shaped early language models 18:48 Move 37, self-play, and the search for novel strategies 22:16 Explore vs. exploit in scientific discovery 24:49 Why RL may now be "the cake," not the cherry on top 25:46 Why RL started working with large language models 27:29 Is RL "sucking supervision through a straw"? 28:47 Why language may be the grounding layer for intelligence 31:46 A contrarian take on the Bitter Lesson 32:41 What test-time compute actually is 34:50 How RL gives models the ability to think 35:40 Verifiable rewards, math, coding, and the messy real world 38:00 What physics can teach us about AI 42:08 Is there a thermodynamics of AI? 43:08 From Erdős problems to Einstein-level AI 45:16 Is AI already doing original science? 45:51 How far are we from AI automating AI research 47:41 Why Dan is excited about the future of science

Matt Turck

64,952 views • 1 month ago

"Projects like the New Deal, the Apollo program pale in comparison to what we're doing right now." 🆕 Greg Brockman (Greg Brockman) joins us to talk GPT-5, GPT-OSS, and what's next on OpenAI's road to crystallizing all of human intelligence! “Energy turns into compute, turns into intelligence… crystallizing compute into potential energy you can release again and again.” 0:00:04 - Introductions 0:01:04 - The Evolution of Reasoning at OpenAI 0:04:01 - Online vs Offline Learning in Language Models 0:06:44 - Sample Efficiency and Human Curation in Reinforcement Learning 0:08:16 - Scaling Compute and Supercritical Learning 0:13:21 - Wall clock time limitations in RL and real-world interactions 0:16:34 - Experience with ARC Institute and DNA neural networks 0:19:33 - Defining the GPT-5 Era 0:22:46 - Evaluating Model Intelligence and Task Difficulty 0:25:06 - Practical Advice for Developers Using GPT-5 0:31:48 - Model Specs 0:37:21 - Challenges in RL Preferences (e.g., try/catch) 0:39:13 - Model Routing and Hybrid Architectures in GPT-5 0:43:58 - GPT-5 pricing and compute efficiency improvements 0:46:04 - Self-Improving Coding Agents and Tool Usage 0:49:11 - On-Device Models and Local vs Remote Agent Systems 0:51:34 - Engineering at OpenAI and Leveraging LLMs 0:54:16 - Structuring Codebases and Teams for AI Optimization 0:55:27 - The Value of Engineers in the Age of AGI 0:58:42 - Current state of AI research and lab diversity 1:01:11 - OpenAI’s Prioritization and Focus Areas 1:03:05 - Advice for Founders - It's Not Too Late 1:04:20 - Future outlook and closing thoughts 1:04:33 - Time Capsule to 2045 - Future of Compute and Abundance 1:07:07 - Time Capsule to 2005 - More Problems Will Emerge

Latent.Space

305,090 views • 11 months ago

Here's my conversation all about AI in 2026, including technical breakthroughs, scaling laws, closed & open LLMs, programming & dev tooling (Claude Code, Cursor, etc), China vs US competition, training pipeline details (pre-, mid-, post-training), rapid evolution of LLMs, work culture, diffusion, robotics, tool use, compute (GPUs, TPUs, clusters), continual learning, long context, AGI timelines (including how stuff might go wrong), advice for beginners, education, a LOT of discussion about the future, and other topics. It's a great honor and pleasure for me to be able to do this kind of episode with two of my favorite people in the AI community: 1. Sebastian Raschka (Sebastian Raschka) 2. Nathan Lambert (Nathan Lambert) They are both widely-respected machine learning researchers & engineers who also happen to be great communicators, educators, writers, and X posters. This was a whirlwind conversation: everything from the super-technical to the super-fun. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 1:57 - China vs US: Who wins the AI race? 10:38 - ChatGPT vs Claude vs Gemini vs Grok: Who is winning? 21:38 - Best AI for coding 28:29 - Open Source vs Closed Source LLMs 40:08 - Transformers: Evolution of LLMs since 2019 48:05 - AI Scaling Laws: Are they dead or still holding? 1:04:12 - How AI is trained: Pre-training, Mid-training, and Post-training 1:37:18 - Post-training explained: Exciting new research directions in LLMs 1:58:11 - Advice for beginners on how to get into AI development & research 2:21:03 - Work culture in AI (72+ hour weeks) 2:24:49 - Silicon Valley bubble 2:28:46 - Text diffusion models and other new research directions 2:34:28 - Tool use 2:38:44 - Continual learning 2:44:06 - Long context 2:50:21 - Robotics 2:59:31 - Timeline to AGI 3:06:47 - Will AI replace programmers? 3:25:18 - Is the dream of AGI dying? 3:32:07 - How AI will make money? 3:36:29 - Big acquisitions in 2026 3:41:01 - Future of OpenAI, Anthropic, Google DeepMind, xAI, Meta 3:53:35 - Manhattan Project for AI 4:00:10 - Future of NVIDIA, GPUs, and AI compute clusters 4:08:15 - Future of human civilization

Lex Fridman

908,447 views • 5 months ago

🔵 3 officers charged with criminal offences involving sexual misconduct 🔵 3 serving officers of the Calgary Police Service (CPS) have been charged in relation to 2 separate, but linked investigations. These investigations were carried out by the CPS with oversight by the Alberta Serious Incident Response Team (ASIRT) & involve allegations of sexual misconduct. The investigation began in January 2025. It is alleged that an officer met women during the course of his duties & had, or attempted to have, personal & sexual contact with them, both on & off duty. Const. Adam McBride, has been charged with 4 counts of breach of trust under the Criminal Code of Canada. 📌 Const. McBride, a 14-year member, was relieved from duty without pay & effective Wednesday, Nov. 26, 2025, is no longer an employee of the CPS. He will next appear in court on Wednesday, Jan. 7, 2026. 📌 It is alleged that another officer was aware of & encouraged, or facilitated, the alleged conduct of Const. McBride. Const. David Harms has been charged with 2 counts of breach of trust under the Criminal Code of Canada. He is a 17-year member & was relieved from duty without pay. He will next appear in court on Wednesday, Jan. 7, 2026. 📌 During the investigation, direct messages were uncovered where a photo of a partially naked woman was shared without consent. Const. Tyler Hobberstad has been charged with 1 count of breach of trust & 1 count of distribution of an intimate image under the Criminal Code of Canada. He is a 6-year member & was relieved from duty without pay. He will next appear in court on Thursday, Jan. 8, 2026. We recognize a power imbalance exists between police officers & members of the public. Anyone who believes they have received inappropriate contact of a personal nature by a police officer is strongly encouraged to report such circumstances to the Professional Standards Section, or as of Monday, Dec. 1, 2025, to the new Police Review Commission. ℹ️ The Professional Standards Section can be reached by phone at 403-428-5904, or by filing an online report through the PSS portal: ⚖️ Case #: CA25120746 / CA25362181 | 5464 🌐

Calgary Police

22,955 views • 7 months ago

DROPS E35: Core DAO 🔶 - Bitcoin yield without giving up your Bitcoin Rich is one of the initial contributors to Core DAO, the leading Bitcoin scaling solution. He's also a long-time Zcash holder and early backer of Z Protocol , a new privacy chain built on Core's Satoshi Plus consensus. We talk Bitcoin yield, financial privacy, AI surveillance, and why the next big move in crypto might not be where most people are looking. We talk about: - How Core DAO lets you earn yield on Bitcoin by time-locking it - without ever giving up custody - Why borrowing against Bitcoin makes sense now - OG Bitcoiners rotating to Zcash - what "transition" actually means and whether it's bad for Bitcoin - Z Protocol as the DeFi layer for private money - Why AI has made financial surveillance trivial - and why that accelerates privacy adoption - How Agents are leaving full financial fingerprints - and why privacy needs to be default on at the chain level And much more... Timestamps: 0:00 - Introduction 2:05 - What does Rich Rines do? 3:00 - Financial Freedom 4:09 - Journey from Bitcoin to Zcash 6:40 - Zcash Philosophy 8:38 - Transition to Zcash 11:20 - Who is Rich Rines? 11:46 - Bitcoin as Pristine Collateral 14:28 - Criticisms of Borrowing Strategy 16:52 - Explaining CORE 18:58 - Bitcoin Yield Story 20:29 - Misconception regarding CORE 22:08 - Time Lock 23:34 - Risk of using CORE 24:37 - Strategies used by CORE 26:42 - What Bitcoin Holders Want? 28:46 - Bitcoin Yield 30:10 - CORE Alpha 32:44 - SatPay 34:19 - Power Grid Thesis 35:37 - Satoshi Plus 37:07 - What is Z? 38:12 - Benefits of long-term Zcash Holder 40:01 - Vertical Integration 43:12 - Privacy for Agents 44:41 - Faux Privacy 46:14 - Privacy vs Government 49:01 - Zcash’s Future 50:01 - Conclusion

MR SHIFT 🦁

104,521 views • 2 months ago

Why The Iran-Israel War Is Inevitable! EVERY Escalation Explained! ⏲️TIME STAMPS⏲️ 00:00 - 0:35 : Intro 00:35 : The uranium stash wil be used to start WW3 01:43 : What is the Axis of Resistance? IRGC, Hamas, Houthis, Hezbollah, Iraqi Forces etc. 02:45 : What led to October 7? 2018 Gaza Border Protests 04:20 : Yahya Sinwar's message after the failed peaceful marches 08:51 : 11/11/2018 clashes begin after botched Israel operation in Khan Yunis 09:06 : 3/25/19 Gaza rocket to Israel 09:42 : 11/12/19 Assassination of Baha Abu al-Ata 09:59 : 1/3/20 Assassination of Qasem Soleimani 11:12 : 11/27/20 Assassination of Iranian Nuclear Scientist Mohsen Fakhrizadeh 11:31 : 2021 Israel-Palestine Crisis 12:00 : 2022 Gaza-Israel Clashes 12:35: Quick recap of events 13:22 : October 7, 2023 : Operation Al-Aqsa Flood 13:46 : What was Hamas goal on Oct 7, 2023? 14:54 : Gaza war 15:06 : 4/1/24 Israeli airstrike on Iranian Consulate In Damascus, Syria 15:27 : Why Hezbollah shot rockets at Israel on 10/8/23 & more context 16:40 : 4/13/24 Axis of resistance launches Operation True Promise and attacks Israel 17:30 : 4/19/25 Israel retaliates with missile strikes on Iran 17:45 : 7/30/24 Israel assassinates Hezbollah senior leader Fuad Shukr 18:07 : 7/31/24 Israel assassinates Ismael Haniyeh leader of Hamas in Tehran, Iran 18:35 : 9/17-9/18/24 Mossad's Hezbollah pager attack 19:25 : 9/27/25 Israel assassinates Hezbollah leader Hassan Nasrahllah 19:50 : 10/1/24 Iran launches Operation True Promise 2- 200 ballistic missles launched at Israel 20:13 : 10/16/24 Israel accidently kill Yahya Sinwar as he fought on the front lines 20:26 : 10/26/24 Israel launches Operation Days Of Repentance striking Iranian military sites 20:44 : 11/27/24 Israel-Lebanon ceasefire after war explained 21:13 : 12/8/24 Fall of Assad regime in Syria 21:40 : How Bashar al-Assad stayed in power so long 21:51 : How the rebels took Syria explained 22:45 : Who runs Syria now? Ahmed al-Sharaa and what Israel did during power transfer 23:14 : Why al-Sharaa kicked out the IRGC and weakened Hezbollah 23:57 : 6/13/25 Iran-Israel war begins after Israel launched Operation Rising Lion 24:30 : Why Israel's plan for the people to overthrow the Iranian government backfired 25:15 : Boom Boom Tel Aviv begins... 25:36 : Why Israel NEEDED the ceasefire... 26:15 : Why Trump bombed Iran's Fordow facility 26:25 : News coming out about uranium "stockpile" 26:58 : 8/20/25 Israel assassinates Hamas spokeman Abu Obeida 27:28 : Share this video if anyone asks how we got here...

Myron Gaines

114,410 views • 10 months ago

‍ ‼️🚨🔵PRESSER🔵🚨‼️ 🎙Enzo Maresca's Full Pre-Wolves Press Conference - Part 1/2: 🔹 Enzo Maresca on long journey: “We are okay 👍. The players rested yesterday 🛌 and we have a session this afternoon ⚽️💪.” 🔹 Enzo Maresca on Lavia injury latest: “We don’t have an update at the moment ⏳. We need to wait some hours ⌛ for all the checks 🧠🩺. At the moment, he is injured 🤕. He is in pain 😔 — we need to do all the checks 🧾.” 🔹 Enzo Maresca on Pedro Neto: “Pedro had a session with the physio yesterday on the pitch 🏃‍♂️💆‍♂️ — it was good 👍. Today he will train with us ⚽️ and we will make the final decision 🔍.” 🔹 Enzo Maresca on Rooney comments on rotation: “I said already many times 🎙️: we are in an era where anyone can say what they want 💭. I said after the Qarabag game ⚔️: since I joined the club 💙, it is my view to rotate players 🔄. When you don’t win games 😤, nobody agrees 🤷‍♂️. When it’s Andrey Santos 🇧🇷, Jorrel Hato 🇳🇱, Joao Pedro 🇧🇷 — it’s not about rotation. They’re young 🌱, you have to give them chances to make mistakes so they can become better 💪⭐.” 🔹 Enzo Maresca on whether he liked rotation as a player: “I loved rotation as a player 😄🔄⚽️.” 🔹 Enzo Maresca on rotation: “I think football is different now ⚙️ compared to years ago 🕰️ because of physicality and intensity 💨💥. 65–70 games a season 🔢, Champions League 🏆, Premier League 🏟️ — you need to rotate 🔁. This is my personal view 💬.” 🔹 Enzo Maresca on whether rotating defenders causes inconsistency: “First of all, with the Levi injury 🤕 we lost our best defender in terms of build-up 🧱. From there, we try to solve problems 🧩 and adjust things 🔧. We try to find different solutions 🔍. Last game, we kept a clean sheet 🧤 with Trev and Wes 💪. They told me this morning ☀️ that last year after 11 league games we had 2️⃣ clean sheets, and this year after 11 we have 4️⃣ 🧼. So, I don’t know 🤷‍♂️😅.” 🔹 Enzo Maresca on if they are where he wants to be this season: “We try to win all the games 🏁⚽️. This season, the expectation has risen 📈 around the team 💙. The big difference from last season is exactly that: expectation 🧠🔥. The numbers are there 📊 and we can probably be better 📈. I said many times: I don’t like to think about April, May, June 📅 — I like to think if we can win tomorrow 🫡. Then comes the international break 🌍✈️ and we go again 💪🔵.” #CFC 💙 | #Chelsea 🔵 | #CHEWOL ⚔️ | #Interviews 🎤 📲 CFC_ChelseaFC via Telegram

Miki Djan

26,328 views • 8 months ago

🇷🇼🇨🇩 Rwanda–DRC Peace Deal: Kagame Full Interview — Key Points President Paul Kagame sat down with Steve Clemons (Al Jazeera) to break down the Trump-brokered peace deal between Rwanda & the DRC. 2/ 🔴 “Trump created pressure that never existed before.” Kagame calls the deal historic — the first time a US President intervenes personally at this level to push Kigali & Kinshasa toward peace. 3/ 🟡 Root Causes Kagame says the crisis goes back to: • The 1994 Genocide • Refugee flows into DRC • Security spillover Rwanda has “warned about for decades.” 4/ 🔵 On Trump’s diplomacy Kagame praises practical results over speeches: “I like what brings results. High-level talk usually creates more problems.” 5/ 🟢 On choosing US & Qatar over African mediation Kagame rejects the claim: “Tshisekedi himself went to Qatar and requested Doha talks. Rwanda never avoided African frameworks.” 6/ 🔴 Two parallel negotiation tracks Kagame explains: • Doha track → DRC vs AFC/M23 • Washington track → Rwanda vs DRC And both converged into the final deal. 7/ 🟡 Can Tshisekedi control the East? Kagame avoids a direct response but stresses: “Implementation matters more than promises.” 8/ 🔵 On minerals & US–China rivalry Kagame highlights Rwanda’s own resources — tungsten, tin, tantalum, lithium — and rejects mineral smuggling accusations: “Not everything exported from Rwanda comes from Congo.” 9/ 🟢 Kagame says Rwanda is unfairly targeted “Many neighbors trade far more with DRC than Rwanda — yet Rwanda is always the accused.” 10/ 🔴 Development vs destabilization Kagame says Rwanda cannot be building itself while destabilizing others: “It’s impossible.” 11/ 🟡 Why this deal is different According to Kagame: ✔ Strong US pressure ✔ Qatar deeply engaged ✔ New accountability mechanisms ✔ Rwanda & DRC finally reached the first step together 12/ 🔵 No guarantees — but new hope Kagame: “No one can guarantee 100%. But we now have a path, a framework, and people who will hold us accountable.” 13/ 🟢 What determines success • Rwanda’s implementation • DRC’s consistency • US & Qatar follow-through • Regional leaders supporting the process 14/ 🔴 Closing Moment Steve Clemons: “History will judge this moment.” Kagame: “We’ll use this opportunity well.”

Serge Ndayizeye

17,857 views • 7 months ago

Bitcoin is known as digital gold. But is it also the new real estate? Core DAO 🔶’s head of institution Hong Sun and Michael Saylor think so. Hong explains how bitcoin is evolving, BTCFi is reshaping institutional strategy and what's next for the multi-trillion dollar asset class. Listen in on Talking Tokens Podcast: Timestamps 0:00 – Who is Hong Sun & what is Core? 0:54 – From Paxos to BTCFi: Hong's journey 2:01 – Why bitcoin yield matters for adoption 2:34 – Yield without custody risk: Time locks explained 4:03 – lstBTC and tokenizing yield 5:44 – ETF buyers vs. yield seekers: the next wave 6:51 – How institutions are thinking about BTC yield 8:12 – Why time locks minimize risk 10:25 – Tax efficiency & regulatory clarity 11:08 – From gold to fixed income: Bitcoin's new narrative 13:14 – Allocating bitcoin in portfolios 15:01 – Is bitcoin the new real estate? 17:14 – Growth of BTCFi across L1s 19:28 – Core as infra for Bitcoin utility 21:30 – New products: Rev+ and more 23:29 – Sharing gas fees with builders 24:37 – The stablecoin connection to BTCFi 26:28 – Monetizing distribution for issuers 27:27 – Incentives for builders & devs on Core 29:33 – Educating institutions on safe BTC yield 32:24 – BTCFi: treasuries, ETFs & traders 34:08 – Positive carry for market makers 35:25 – What dual staking unlocks 38:13 – BTCFi TAM & billion-dollar upside 40:23 – Composable Bitcoin in traditional finance 42:15 – Liquidity, volatility & macro impacts 44:14 – Hong’s advice: think big, build aligned systems

Jacquelyn Melinek

26,125 views • 11 months ago

E133: Sam Blackshear - How Libra Sparked the Move Language and Why Sui Is the Real Endgame! Sam Blackshear is the Co-founder and CTO of MystenLabs.sui , the company behind the Sui, and the Creator of the Move programming language that's revolutionizing smart contract development. Timestamps: 0:00 Introduction 1:54 Partnerships: Jupiter, KAST (old), , Sui, Mantle, Forza! BTC 2:44 The Power of Preparation 5:14 Discipline Behind the Podcast 6:27 Translating Thought Into Code 8:19 Who is Sam Blackshear? 9:27 Choosing What Truly Matters 10:25 Self-Custody with Trezor 11:18 Crypto vs. AI Thinking 12:28 The Power of Support 16:04 From Court Dreams to Reality 17:55 Challenging the Limits of Code 22:52 Chose Learning Over a Job 24:09 The Internship That Changed Everything 27:35 PhD Skills Meet Facebook 29:05 Entering Crypto Through Facebook 32:15 Why Libra Needed Move 33:42 Solving Scarcity in Code 36:37 Bitcoin & Ethereum Mistakes 38:45 Creating a New Language 41:41 Problem-Driven Innovation 44:47 Avoiding Analysis Paralysis 48:11 What is Unstructured Thinking? 50:50 Why Unstructured Thinking Works 53:14 Future of Crypto Protocols 54:21 Why Move is the Best Programming Language 55:00 What is the Sui Network? 56:25 What Makes Sui Different? 57:05 Why is Sui The Best Blockchain? 59:05 Managing Energy Long-Term 1:01:02 Satisfaction Without Closure 1:03:37 90% Love, 10% Grind 1:05:37 Mental State of Surfing 1:06:47 Non-Consensus Beliefs 1:07:34 What is Memory Safety? 1:09:07 What Was the Equifax Hack? 1:10:53 Rethinking Software Safety 1:12:00 Right Dose of Regulation 1:13:00 Biggest Prediction for the Next 24 Months? 1:14:02 Scaling Crypto Developers 1:16:07 Concluding Remarks

MR SHIFT 🦁

164,259 views • 11 months ago