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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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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

12,509 Aufrufe • vor 3 Monaten

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 Aufrufe • vor 9 Monaten

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 Aufrufe • vor 7 Monaten

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 Aufrufe • vor 4 Monaten

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 Aufrufe • vor 1 Jahr