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How is Stellar funding smart contract security at scale? Ecosystems need better security models — and Stellar is already leading the way. Join Tomer Weller as he unpacks Stellar’s proactive approach: the Soroban Security Audit Bank. Hosted by Kostas Ferles from Veridise. Timestamps: 0:00 Introduction 1:00 Inspiration behind the...

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Veridise

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31,258 次观看 • 1 年前 •via X (Twitter)

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Do You Know Why Stellar Was Chosen By DTCC? Many reasons… but “Soroban” smart contracts made stellar 100x more powerful and most people still don’t get it. Imagine Stellar was already the fastest, cheapest way to send money anywhere. Now picture this: Soroban is Stellar’s new “smart contract” superpower. • Soroban smart contracts is like giving Stellar a super-smart brain written in Rust (a pro language) that turns into WebAssembly (super efficient code). It runs programs on the blockchain that can: • Automatically handle money (like lending, trading, or creating tokens) • Finish in 3-5 seconds • Cost basically nothing (~$0.00001 per transaction) • Handle tons of stuff at the same time without clogging up No gas fees drama. No waiting hours. Just smooth, real-world usable magic. Soroban turns Stellar from “great for payments” into a full DeFi beast that can scale to billions of people. This is just the beginning. Utility season is incoming🔥
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Do You Know Why Stellar Was Chosen By DTCC? Many reasons… but “Soroban” smart contracts made stellar 100x more powerful and most people still don’t get it. Imagine Stellar was already the fastest, cheapest way to send money anywhere. Now picture this: Soroban is Stellar’s new “smart contract” superpower. • Soroban smart contracts is like giving Stellar a super-smart brain written in Rust (a pro language) that turns into WebAssembly (super efficient code). It runs programs on the blockchain that can: • Automatically handle money (like lending, trading, or creating tokens) • Finish in 3-5 seconds • Cost basically nothing (~$0.00001 per transaction) • Handle tons of stuff at the same time without clogging up No gas fees drama. No waiting hours. Just smooth, real-world usable magic. Soroban turns Stellar from “great for payments” into a full DeFi beast that can scale to billions of people. This is just the beginning. Utility season is incoming🔥

Stellar Rippler🚀

24,521 次观看 • 2 个月前

Stellar launched 11 years ago and while a lot of teams chase the hype, it has stayed mission-aligned Tomer Weller, chief product officer at Stellar, dives into that on Talking Tokens Podcast and his take on web3 product design, security & privacy, and what it takes to earn institutional trust. TIMESTAMPS: 0:00 – Intro 1:01 – Tomer’s background & joining Stellar 2:33 – How Stellar has evolved over the years 5:18 – Cross-border payments & MoneyGram integration 8:06 – UX: Making crypto invisible to users 11:46 – What makes a bad Web3 product 13:16 – Why security needs to come first 15:02 – Soroban & Stellar’s smart contracts vision 20:27 – Governance, validators & institutional trust 26:28 – Why developers choose to build on Stellar 27:32 – DeFi + RWAs: New frontier for tokenization 30:02 – What institutions want next: Privacy
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Stellar launched 11 years ago and while a lot of teams chase the hype, it has stayed mission-aligned Tomer Weller, chief product officer at Stellar, dives into that on Talking Tokens Podcast and his take on web3 product design, security & privacy, and what it takes to earn institutional trust. TIMESTAMPS: 0:00 – Intro 1:01 – Tomer’s background & joining Stellar 2:33 – How Stellar has evolved over the years 5:18 – Cross-border payments & MoneyGram integration 8:06 – UX: Making crypto invisible to users 11:46 – What makes a bad Web3 product 13:16 – Why security needs to come first 15:02 – Soroban & Stellar’s smart contracts vision 20:27 – Governance, validators & institutional trust 26:28 – Why developers choose to build on Stellar 27:32 – DeFi + RWAs: New frontier for tokenization 30:02 – What institutions want next: Privacy

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32,556 次观看 • 1 年前

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Vet

35,799 次观看 • 1 个月前

🎙️ New The Edge Podcast 🪷 The Next Battle In DeFi Lending Is What's Inside Your Vault | DeFi Frontier 0:00 - Intro 2:22 - The team behind Lotus 3:45 - The problem with shared pool design 7:23 - The “missing middle” in DeFi lending 9:31 - The problem with isolated markets 11:17 - What does Lotus aim to solve? 13:40 - The elevator pitch for Lotus 19:54 - How tranching plays a role in Lotus 24:00 - Demo of Lotus and how it works 28:56 - Credora ratings in Lotus 33:19 - Earning more with productive debt 37:52 - Productive debt dampens rate volatility 42:13 - How Lotus differs handling bad debt 45:08 - Who will use Lotus? 48:04 - What uses could Lotus unlock? 50:49 - Security, audits, and lessons from rsETH 57:02 - Closing + Lotus launch 🙏 Thanks to Lotus Protocol Founder David Reising for joining us!
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🎙️ New The Edge Podcast 🪷 The Next Battle In DeFi Lending Is What's Inside Your Vault | DeFi Frontier 0:00 - Intro 2:22 - The team behind Lotus 3:45 - The problem with shared pool design 7:23 - The “missing middle” in DeFi lending 9:31 - The problem with isolated markets 11:17 - What does Lotus aim to solve? 13:40 - The elevator pitch for Lotus 19:54 - How tranching plays a role in Lotus 24:00 - Demo of Lotus and how it works 28:56 - Credora ratings in Lotus 33:19 - Earning more with productive debt 37:52 - Productive debt dampens rate volatility 42:13 - How Lotus differs handling bad debt 45:08 - Who will use Lotus? 48:04 - What uses could Lotus unlock? 50:49 - Security, audits, and lessons from rsETH 57:02 - Closing + Lotus launch 🙏 Thanks to Lotus Protocol Founder David Reising for joining us!

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21,736 次观看 • 3 个月前

"As you realized, there was no money lost. And this is by design." Kostas Chalkias (Kostas Kryptos) is co-founder and Chief Cryptographer of Mysten Labs, the team behind Sui. When the network halted, he was in the war room. This is his breakdown of what actually happened. "The ideal option is to halt, compared to just losing money if something else happens." We cover: — Why halting the network was a deliberate design choice, not a failure — What was really going on behind the scenes while crypto Twitter panicked — The global war room: 50+ people across Europe and the US working through the night — Why a decentralized network recovers differently than one company flipping a switch — "Move fast and break things", why the Facebook motto is exactly wrong for money — Why Kostas believes most other blockchains wouldn't have recovered in days — Where the line sits between an honest edge case and a broken system — What the outage proved about how Sui is actually built Thanks to Kostas for coming on New Era Finance Podcast. Highlights: 00:00 — Intro 00:43 — What Happened During The Outage 03:45 — Why Halting Was The Right Call 05:30 — Inside The War Room 08:00 — Why Decentralized Recovery Takes Longer 11:00 — The Lessons That Made Sui Stronger 14:30 — Why AI Agents Are The Real Users Of Crypto 19:00 — Free Stablecoin Payments vs Bank Fees 23:00 — Own And Monetize Your Own Data 27:00 — Why A Fast Layer-1 Changes Everything
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172,880 次观看 • 1 个月前

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.Jacob Trefethen runs the science program at Open Philanthropy, directing about $100m/year in philanthropic funding. For New Science, we ended up talking about academia, peer review, grant-making; and also about love, the meaning of life, and our personal histories. Enjoy! Timestamps 0:00:00 - Introduction 0:01:11 - On Open Philanthropy's decision process 0:06:48 - Is it possible to make expected value calculations for basic scientific research? 0:16:27 - Non-profit funding vs for-profit funding 0:17:19 - Why the NIH rejects grants 0:19:39 - Jacob's "PhD" working side-by-side with biochemists for 5 years 0:25:22 - Today's system of federal funding are not supporting generalists 0:28:34 - How will AI affect the pace of scientific progress? 0:41:53 - AI Baumol Disease 0:54:41 - Can AI speed up aging research? 0:58:20 - The wisest people Jacob & Alexey know 1:13:31 - The future of science in academia 1:19:26 - How Open Philanthropy uses neglectedness to make funding trade-offs 1:35:16 - Jacob's advice for a talented 20 year old watching this 1:45:24 - Jacob's favorite joke

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23,458 次观看 • 1 年前

People drastically underestimate how important cryptography is for US national security interests. I am fascinated by the work being done on zero-knowledge proofs in particular. I sat down with Rob Viglione to understand the latest developments. Enjoy! YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 1:34 - ZK proofs and bitcoin & crypto in Afghanistan 6:31 - National security use cases 9:48 - Biggest areas for opportunity 13:51 - AI, proof of human & machine 19:31 - Why blockchain is so valuable 23:50 - What are some technical obstacles? 26:23 - How to cut costs and improve efficiency 29:39 - Bitcoin integration & future tech
33:29

People drastically underestimate how important cryptography is for US national security interests. I am fascinated by the work being done on zero-knowledge proofs in particular. I sat down with Rob Viglione to understand the latest developments. Enjoy! YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 1:34 - ZK proofs and bitcoin & crypto in Afghanistan 6:31 - National security use cases 9:48 - Biggest areas for opportunity 13:51 - AI, proof of human & machine 19:31 - Why blockchain is so valuable 23:50 - What are some technical obstacles? 26:23 - How to cut costs and improve efficiency 29:39 - Bitcoin integration & future tech

Anthony Pompliano 🌪

58,768 次观看 • 10 个月前

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Wait — the bank froze your life savings? Debanking exposed... Imagine waking up one day to find your bank account frozen. No warning. No explanation. No recourse. This is not a thought experiment. It’s a real situation. And it’s happened not just to crypto companies and their founders, but to ordinary people who are just trying to live their lives. That includes our guest today, who learned firsthand what it means to be “debanked.” In this episode, we talk about the unseen algorithms that monitor people’s accounts, the ramifications of the Bank Secrecy Act, and how crypto and decentralized finance may offer a much-needed check — and safety net — against the opaque systems of traditional finance. Full episode: Timestamps: (0:00) Introduction (2:03) The Problem of Debanking (5:58) Debanking: A Personal Story (7:33) Understanding the Bank Secrecy Act (11:53) The Information Vacuum (16:55) The Impact on Crypto Companies (20:07) Addressing Skeptics (22:07) Banks: Good vs. Bad (27:35) The Scariest Moment (36:17) “Operation Chokepoint 2.0” (38:08) History of the Bank Secrecy Act (44:04) Security Theater (45:31) What Would You Change? (48:45) The Impact of Financial Consolidation (49:30) Crypto as Banking Solution (53:02) Is Debanking Still Happening? (58:35) Unresolved Mysteries (1:01:47) One More Debanking Story (1:08:07) Conspiracy or Coincidence? (1:09:39) It Shouldn’t Be This Hard (1:11:18) Out From Under the SEC’s Cloud (1:14:23) The Urgent Need for Legislation (1:17:26) Possible Tech Futures (1:19:33) Advice for Founders (1:22:04) Final Thoughts w/ Katherine Minarik Emily Westerhold

a16z crypto

41,914 次观看 • 1 年前

📺 The Bitcoin For Corporations Show Episode 25 now live — hosted by Pierre Rochard Spencer Nichols (Spencer Nichols) and Pierre break down Strategy’s latest earnings call and explain why its #Bitcoin-backed digital credit products may redefine corporate finance. 00:00 – Why Strategy’s Digital Credit Is the Real Product 05:00 – Bear-Market Stress Testing Without Margin Calls 10:00 – Bank Credit vs Non-Bank Credit Explained 15:00 – Bitcoin-Backed Lending and Institutional Demand 20:00 – STRC vs Bitcoin: Volatility and Yield 25:00 – Who These Products Are Actually For 30:00 – Ideology vs Adoption in Bitcoin Finance 35:00 – Strategy’s Plan to Increase Bitcoin Per Share 40:00 – Rates, Liquidity, and the AI Macro Backdrop 45:00 – Quantum Risk, Consensus, and “Don’t Panic” 50:00 – Security, Governance, and Bitcoin’s Upgrade Path 55:00 – What This Means for Bitcoin’s Financial Future 01:00:00 – Final Thoughts on Credit, Volatility, and Adoption
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📺 The Bitcoin For Corporations Show Episode 25 now live — hosted by Pierre Rochard Spencer Nichols (Spencer Nichols) and Pierre break down Strategy’s latest earnings call and explain why its #Bitcoin-backed digital credit products may redefine corporate finance. 00:00 – Why Strategy’s Digital Credit Is the Real Product 05:00 – Bear-Market Stress Testing Without Margin Calls 10:00 – Bank Credit vs Non-Bank Credit Explained 15:00 – Bitcoin-Backed Lending and Institutional Demand 20:00 – STRC vs Bitcoin: Volatility and Yield 25:00 – Who These Products Are Actually For 30:00 – Ideology vs Adoption in Bitcoin Finance 35:00 – Strategy’s Plan to Increase Bitcoin Per Share 40:00 – Rates, Liquidity, and the AI Macro Backdrop 45:00 – Quantum Risk, Consensus, and “Don’t Panic” 50:00 – Security, Governance, and Bitcoin’s Upgrade Path 55:00 – What This Means for Bitcoin’s Financial Future 01:00:00 – Final Thoughts on Credit, Volatility, and Adoption

Bitcoin For Corporations

17,702 次观看 • 6 个月前

New greenpill.network pod today with @thedevanshmehta about Deep Funding, a new AI-powered funding mechanism that combines human evaluation and prediction markets to allocate resources for open-source projects. Topics: 1. how Deep Funding scales human judgment, 2. prevents Sybil attacks, 3. and creates a fair, dynamic “price feed” for public goods. 4. Devansh shares insights from the pilot run, the results of the data-science competition, and how the model will power Gitcoin Grants 24 #GG24 Timestamps: 00:00 – Intro: Welcome to the Greenpill Podcast – exploring tech, coordination & Protopia 00:45 – Introducing guest Devansh Mehta, AI & Public Goods Lead at the Ethereum Foundation 01:20 – What is Deep Funding and why it matters 02:00 – How Deep Funding scales human evaluations with AI models 02:45 – Overview of the pilot run and what was tested 03:20 – How the mechanism works: human jurors + model builders 04:30 – The White Hat Sybil attack and what it revealed 05:40 – How Deep Funding integrates data science competitions and prediction markets 06:50 – Results of the pilot: weighted funding for 45 open-source repos 07:30 – Creating a credibly neutral funding system with unequal weights 08:40 – Comparing Deep Funding with Protocol Guild and other mechanisms 09:20 – Building a strong community of AI developers and human jurors 10:30 – The role of jurors and models in fair evaluation 11:10 – What’s next: expanding to 90 repos in Gitcoin Grants 24 (GG24) 11:50 – Funding pool: $350K from Ethereum Foundation & Gitcoin 12:30 – Challenges of distributing capital efficiently and fairly 13:20 – Moving to GitHub repo-level governance: who controls the funds? 14:40 – Two models of spending: splits contracts vs counterfactual wallets 15:40 – Lessons from past Gitcoin funding rounds 16:20 – Why Deep Funding focuses on units of work, not organizations 17:20 – Avoiding distortions and improving fairness in funding 18:10 – The vision: creating a live price feed for public goods 19:10 – How prediction markets price open-source value 20:30 – Self-correcting market behavior and real-time adjustments 21:20 – Subsidies and liquidity: bootstrapping active participation 22:10 – Balancing liquidity levels to prevent manipulation 23:00 – What’s next for Deep Funding: refining future iterations 23:40 – Shoutout to the model builders and competition winners 24:20 – Where to learn more: & 25:00 – Closing: the future of AI, governance, and funding what matters If you’re curious about the intersection of AI, governance, and funding public goods, this conversation is for you. And participate in GG24 at
25:41

New greenpill.network pod today with @thedevanshmehta about Deep Funding, a new AI-powered funding mechanism that combines human evaluation and prediction markets to allocate resources for open-source projects. Topics: 1. how Deep Funding scales human judgment, 2. prevents Sybil attacks, 3. and creates a fair, dynamic “price feed” for public goods. 4. Devansh shares insights from the pilot run, the results of the data-science competition, and how the model will power Gitcoin Grants 24 #GG24 Timestamps: 00:00 – Intro: Welcome to the Greenpill Podcast – exploring tech, coordination & Protopia 00:45 – Introducing guest Devansh Mehta, AI & Public Goods Lead at the Ethereum Foundation 01:20 – What is Deep Funding and why it matters 02:00 – How Deep Funding scales human evaluations with AI models 02:45 – Overview of the pilot run and what was tested 03:20 – How the mechanism works: human jurors + model builders 04:30 – The White Hat Sybil attack and what it revealed 05:40 – How Deep Funding integrates data science competitions and prediction markets 06:50 – Results of the pilot: weighted funding for 45 open-source repos 07:30 – Creating a credibly neutral funding system with unequal weights 08:40 – Comparing Deep Funding with Protocol Guild and other mechanisms 09:20 – Building a strong community of AI developers and human jurors 10:30 – The role of jurors and models in fair evaluation 11:10 – What’s next: expanding to 90 repos in Gitcoin Grants 24 (GG24) 11:50 – Funding pool: $350K from Ethereum Foundation & Gitcoin 12:30 – Challenges of distributing capital efficiently and fairly 13:20 – Moving to GitHub repo-level governance: who controls the funds? 14:40 – Two models of spending: splits contracts vs counterfactual wallets 15:40 – Lessons from past Gitcoin funding rounds 16:20 – Why Deep Funding focuses on units of work, not organizations 17:20 – Avoiding distortions and improving fairness in funding 18:10 – The vision: creating a live price feed for public goods 19:10 – How prediction markets price open-source value 20:30 – Self-correcting market behavior and real-time adjustments 21:20 – Subsidies and liquidity: bootstrapping active participation 22:10 – Balancing liquidity levels to prevent manipulation 23:00 – What’s next for Deep Funding: refining future iterations 23:40 – Shoutout to the model builders and competition winners 24:20 – Where to learn more: & 25:00 – Closing: the future of AI, governance, and funding what matters If you’re curious about the intersection of AI, governance, and funding public goods, this conversation is for you. And participate in GG24 at

owocki’s gitcoin 3.0 arc

12,981 次观看 • 9 个月前

🎙️1/ I enjoyed speaking with 0xkaiserkarel.union from Union where we discussed the current state of blockchain infrastructure and the pain developers go through to build cross-chain apps and how Union aims to solve those exact problems. Enjoy. Summary Karel Kubat, CEO of Union, lays out a bold vision for a decentralized coordination layer that can unlock true interoperability in crypto. He breaks down why bridging is still broken, why ZK is more than hype, and why Bitcoin needs to be more than digital gold. From security risks to UX gaps to regulatory pressure, this conversation covers the hard problems and how Union is solving them. Takeaways – Union is building a decentralized coordination layer to connect ecosystems without sacrificing sovereignty – Interoperability is not a feature, it’s the future, especially for assets like Bitcoin – ZK tech offers powerful efficiency and trust guarantees for cross-chain operations – Union’s mainnet beta is focused on bootstrapping use cases in the Bitcoin ecosystem – Bitcoin in DeFi isn’t optional, it’s the next unlock for serious liquidity – Real-world asset (RWA) integration is a priority for Union’s long-term roadmap – Bridge security remains a major attack surface and demands a new approach – UX in cross-chain bridging is still painful, Union wants to fix that – Go-to-market strategy targets underserved, long-tail assets and app developers – Regulatory shifts will shape product and protocol design going forward Chapters (00:00) Introduction to Union and Its Vision (02:43) The Importance of Interoperability in Blockchain (05:30) Union’s Unique Approach to ZK Technology (08:15) Building Bridges: Union’s Role in the Bitcoin Ecosystem (10:58) Unlocking Bitcoin’s Potential in DeFi (13:40) Real-World Asset Integration and Future Plans (16:33) Security and Trust in Blockchain Bridges (19:24) User Experience and the Future of Bridging (22:07) Union’s Go-to-Market Strategy and Community Engagement (24:42) The Role of Regulation in Union’s Future (27:27) Conclusion and Future Outlook (33:18) The role of Super Apps like Infinex that Abstracts Bridging and other painful processes
51:43

🎙️1/ I enjoyed speaking with 0xkaiserkarel.union from Union where we discussed the current state of blockchain infrastructure and the pain developers go through to build cross-chain apps and how Union aims to solve those exact problems. Enjoy. Summary Karel Kubat, CEO of Union, lays out a bold vision for a decentralized coordination layer that can unlock true interoperability in crypto. He breaks down why bridging is still broken, why ZK is more than hype, and why Bitcoin needs to be more than digital gold. From security risks to UX gaps to regulatory pressure, this conversation covers the hard problems and how Union is solving them. Takeaways – Union is building a decentralized coordination layer to connect ecosystems without sacrificing sovereignty – Interoperability is not a feature, it’s the future, especially for assets like Bitcoin – ZK tech offers powerful efficiency and trust guarantees for cross-chain operations – Union’s mainnet beta is focused on bootstrapping use cases in the Bitcoin ecosystem – Bitcoin in DeFi isn’t optional, it’s the next unlock for serious liquidity – Real-world asset (RWA) integration is a priority for Union’s long-term roadmap – Bridge security remains a major attack surface and demands a new approach – UX in cross-chain bridging is still painful, Union wants to fix that – Go-to-market strategy targets underserved, long-tail assets and app developers – Regulatory shifts will shape product and protocol design going forward Chapters (00:00) Introduction to Union and Its Vision (02:43) The Importance of Interoperability in Blockchain (05:30) Union’s Unique Approach to ZK Technology (08:15) Building Bridges: Union’s Role in the Bitcoin Ecosystem (10:58) Unlocking Bitcoin’s Potential in DeFi (13:40) Real-World Asset Integration and Future Plans (16:33) Security and Trust in Blockchain Bridges (19:24) User Experience and the Future of Bridging (22:07) Union’s Go-to-Market Strategy and Community Engagement (24:42) The Role of Regulation in Union’s Future (27:27) Conclusion and Future Outlook (33:18) The role of Super Apps like Infinex that Abstracts Bridging and other painful processes

papiofficial

29,940 次观看 • 11 个月前

The accounting services industry has historically been 1) underserved by technology and 2) constrained by capacity, not demand. Founders Arush Jain, Pranav Pillai, and Vinay Kasat saw this as an opportunity. They brought together their backgrounds in private equity M&A, forward-deployed software engineering, and growth operations. In doing so, they created Modus to partner with auditors ready for the next generation of firms that have the right to grow. Through co-creating and tightly iterating on powerful, scalable workflows with frontline auditors, Modus freed up tens of thousands of hours in their first platform partner that they have already sold into. The co-founders joined Justin M. Overdorff and Amish Desai this week on The Investment Memo, where they go into more detail about our partnership, their vision for innovating in the industry, and how their past career experiences prepared them for this journey. 0:00 Welcome, Arush Jain, Vinay Kasat, & Pranav Pillai! 2:40 Why Audit Is a Massive Opportunity 3:17 The Core Problem Auditors Face Today 4:10 The “Audit in 2 Weeks” Vision 5:04 Proving the Model Works Without an Audit Background 5:53 Why Audit Software Has Failed Before 6:25 Reinventing Audits from the Ground Up 7:25 Inside 7 AI Workflows & 40% Time Savings 9:03 Palantir’s Influence on Their Strategy 10:00 Embedding Engineers Inside Audit Firms 11:12 Turning Time Savings into Growth 12:25 Improving Audit Quality with AI 14:01 Where Audit Errors Actually Happen 16:24 The First Acquisition Journey 17:50 Early Results: Growth & Efficiency Gains 19:05 The “This Works” Moment 20:18 From Friends to Co-Founders 22:34 Hiring in the Age of AI 24:08 Advisors Behind Modus 25:41 Choosing the Right Investors 26:55 The Future of AI in Audit 28:03 What Excites the Founders Most 28:48 Advice for Founders
29:43

The accounting services industry has historically been 1) underserved by technology and 2) constrained by capacity, not demand. Founders Arush Jain, Pranav Pillai, and Vinay Kasat saw this as an opportunity. They brought together their backgrounds in private equity M&A, forward-deployed software engineering, and growth operations. In doing so, they created Modus to partner with auditors ready for the next generation of firms that have the right to grow. Through co-creating and tightly iterating on powerful, scalable workflows with frontline auditors, Modus freed up tens of thousands of hours in their first platform partner that they have already sold into. The co-founders joined Justin M. Overdorff and Amish Desai this week on The Investment Memo, where they go into more detail about our partnership, their vision for innovating in the industry, and how their past career experiences prepared them for this journey. 0:00 Welcome, Arush Jain, Vinay Kasat, & Pranav Pillai! 2:40 Why Audit Is a Massive Opportunity 3:17 The Core Problem Auditors Face Today 4:10 The “Audit in 2 Weeks” Vision 5:04 Proving the Model Works Without an Audit Background 5:53 Why Audit Software Has Failed Before 6:25 Reinventing Audits from the Ground Up 7:25 Inside 7 AI Workflows & 40% Time Savings 9:03 Palantir’s Influence on Their Strategy 10:00 Embedding Engineers Inside Audit Firms 11:12 Turning Time Savings into Growth 12:25 Improving Audit Quality with AI 14:01 Where Audit Errors Actually Happen 16:24 The First Acquisition Journey 17:50 Early Results: Growth & Efficiency Gains 19:05 The “This Works” Moment 20:18 From Friends to Co-Founders 22:34 Hiring in the Age of AI 24:08 Advisors Behind Modus 25:41 Choosing the Right Investors 26:55 The Future of AI in Audit 28:03 What Excites the Founders Most 28:48 Advice for Founders

Lightspeed

12,553 次观看 • 4 个月前

The Grand Vision for Somnia with paul.somi 🤝 After working with Somnia Network close to a year, I finally meet Paul in KBW. In this video, we talked about thought processes, key insights, future plans, alpha and much more. This is just the beginning for $SOMI. Timestamps: 0:05 - Introduction 0:23 - Thoughts & feelings about Somnia 1:50 - Somnia’s product-first approach 2:17 - What other unique benefits can Somnia offer? 3:44 - How did you learn about marketing? 4:11 - Why Somnia needs to focus on other fields 4:50 - Somnia Alphas 5:00 - Why is there a NBA star at this event? 5:47 - Final takes / closing remarks
6:20

The Grand Vision for Somnia with paul.somi 🤝 After working with Somnia Network close to a year, I finally meet Paul in KBW. In this video, we talked about thought processes, key insights, future plans, alpha and much more. This is just the beginning for $SOMI. Timestamps: 0:05 - Introduction 0:23 - Thoughts & feelings about Somnia 1:50 - Somnia’s product-first approach 2:17 - What other unique benefits can Somnia offer? 3:44 - How did you learn about marketing? 4:11 - Why Somnia needs to focus on other fields 4:50 - Somnia Alphas 5:00 - Why is there a NBA star at this event? 5:47 - Final takes / closing remarks

yellowpanther 💎

47,306 次观看 • 10 个月前

Michael Bolin (Michael Bolin) is the tech lead of the Codex open source repository at OpenAI and formerly a distinguished eng (E9) at Meta. I asked him for all the details on his career story and how he uses Codex for max benefit. Timestamps: 00:00:00 - Intro 00:00:56 - Chickenfoot 00:02:45 - Working at Google 00:06:34 - Overhauling Facebook's build system 00:16:36 - Rewriting Facebook's IDE 00:26:01 - Struggles after Principal Eng (E8) promo 00:28:39 - Building a virtual filesystem for Facebook 00:35:47 - Delayed Distinguished promo (E9) and learnings 00:39:56 - Joining OpenAI 00:43:05 - Research-led vs engineering-led cultures 00:44:53 - The story behind Codex 00:51:00 - How he uses Codex 00:57:00 - Why Codex's harness is open source 00:59:50 - Top technical book recommendations 01:05:02 - Why deep technical skills are still valuable (for now) 01:11:07 - How to start projects well 01:14:27 - Advice on writing better and career planning 01:17:06 - Advice for his younger self 01:19:10 - Outro He was a dream guest of mine and I'm excited to share his story with you all! Other places to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:
1:20:03

Michael Bolin (Michael Bolin) is the tech lead of the Codex open source repository at OpenAI and formerly a distinguished eng (E9) at Meta. I asked him for all the details on his career story and how he uses Codex for max benefit. Timestamps: 00:00:00 - Intro 00:00:56 - Chickenfoot 00:02:45 - Working at Google 00:06:34 - Overhauling Facebook's build system 00:16:36 - Rewriting Facebook's IDE 00:26:01 - Struggles after Principal Eng (E8) promo 00:28:39 - Building a virtual filesystem for Facebook 00:35:47 - Delayed Distinguished promo (E9) and learnings 00:39:56 - Joining OpenAI 00:43:05 - Research-led vs engineering-led cultures 00:44:53 - The story behind Codex 00:51:00 - How he uses Codex 00:57:00 - Why Codex's harness is open source 00:59:50 - Top technical book recommendations 01:05:02 - Why deep technical skills are still valuable (for now) 01:11:07 - How to start projects well 01:14:27 - Advice on writing better and career planning 01:17:06 - Advice for his younger self 01:19:10 - Outro He was a dream guest of mine and I'm excited to share his story with you all! Other places to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:

Ryan Peterman

119,601 次观看 • 5 个月前

BOUNTYHUNT3RZ Episode 13: w/ 0xSimao riptide (singapore) Bringing out the AUDITOOOR Round 2! 0xSimao "the human fuzzer" discusses being a humble aerospace engineer to getting started in crypto with Three Sigma | Web3 Security and then selected to be a part of Blackthorn, how he approaches audits vs. contests, auditors vs. bountyhunters, approaching bug hunting with the right mindset to locate zee bugs, auditing for clients that do not respect security, bountyhunting is playing the long game, taking the L when you miss a bug as an auditor, red flags in codebases and what to look for and things that are always out of scope during an audit that bug hunters should look at and much, much, more ... podcast, discord, substack ->
1:02

BOUNTYHUNT3RZ Episode 13: w/ 0xSimao riptide (singapore) Bringing out the AUDITOOOR Round 2! 0xSimao "the human fuzzer" discusses being a humble aerospace engineer to getting started in crypto with Three Sigma | Web3 Security and then selected to be a part of Blackthorn, how he approaches audits vs. contests, auditors vs. bountyhunters, approaching bug hunting with the right mindset to locate zee bugs, auditing for clients that do not respect security, bountyhunting is playing the long game, taking the L when you miss a bug as an auditor, red flags in codebases and what to look for and things that are always out of scope during an audit that bug hunters should look at and much, much, more ... podcast, discord, substack ->

bountyhunt3rz podcast

18,302 次观看 • 1 年前

We don't know what most microbial genes do. Can genomic language models help? there's only one way to find out! this is a 1 hour and 42 minute interview with an MIT professor (the famous Yunha Hwang) chatting about these questions, her work in solving them at Tatta Bio, and more. zoomer captions are back too Links in reply! Timestamps: 00:00:00 - Clips + sponsor roll from the wonderful LatchBio 00:02:07 – Introduction 00:02:23 – Why do microbial genomes matter 00:04:07 – Deep learning acceptance in metagenomics 00:05:25 – The case for genomic “context” over sequence matching 00:06:43 – OMG: the only ML-ready metagenomic dataset 00:09:27 – gLM2: A multimodal genomic language model 00:11:06 – What do you do with the output of genomic language models? 00:17:41 – How will OMG evolve? 00:20:26 – Why train on only microbial genomes, as opposed to all genomes? 00:22:58 – Do we need more sequences or more annotations? 00:23:54 – Is there a conserved microbial genome ‘language’? 00:28:11 – What non-obvious things can this genomic language model tell you? 00:33:08 – Semantic deduplication and evaluation 00:37:33 – How does benchmarking work for these types of models? 00:41:31 – Gaia: A genomic search engine 00:44:18 – Even ‘well-studied’ genomes are mostly unannotated 00:50:51 – Using agents on Gaia 00:54:53 – Will genomic language models reshape the tree of life? 00:59:18 – Current limitations of genomic language models 01:08:54 – Directed evolution as training data 01:12:35 – What is Tatta Bio? 01:19:02 – Building Google for genomic sequences (SeqHub) 01:25:46 – How to create communities around scientific OSS 01:29:06 – What’s the purpose in the centralization of the software? 01:35:37 – How will the way science is done change in 10 years?
1:42:41

We don't know what most microbial genes do. Can genomic language models help? there's only one way to find out! this is a 1 hour and 42 minute interview with an MIT professor (the famous Yunha Hwang) chatting about these questions, her work in solving them at Tatta Bio, and more. zoomer captions are back too Links in reply! Timestamps: 00:00:00 - Clips + sponsor roll from the wonderful LatchBio 00:02:07 – Introduction 00:02:23 – Why do microbial genomes matter 00:04:07 – Deep learning acceptance in metagenomics 00:05:25 – The case for genomic “context” over sequence matching 00:06:43 – OMG: the only ML-ready metagenomic dataset 00:09:27 – gLM2: A multimodal genomic language model 00:11:06 – What do you do with the output of genomic language models? 00:17:41 – How will OMG evolve? 00:20:26 – Why train on only microbial genomes, as opposed to all genomes? 00:22:58 – Do we need more sequences or more annotations? 00:23:54 – Is there a conserved microbial genome ‘language’? 00:28:11 – What non-obvious things can this genomic language model tell you? 00:33:08 – Semantic deduplication and evaluation 00:37:33 – How does benchmarking work for these types of models? 00:41:31 – Gaia: A genomic search engine 00:44:18 – Even ‘well-studied’ genomes are mostly unannotated 00:50:51 – Using agents on Gaia 00:54:53 – Will genomic language models reshape the tree of life? 00:59:18 – Current limitations of genomic language models 01:08:54 – Directed evolution as training data 01:12:35 – What is Tatta Bio? 01:19:02 – Building Google for genomic sequences (SeqHub) 01:25:46 – How to create communities around scientific OSS 01:29:06 – What’s the purpose in the centralization of the software? 01:35:37 – How will the way science is done change in 10 years?

owl

44,279 次观看 • 8 个月前