Data and AI @ Snowflake | Host of AI Ventures Podcast | Interviewing VC-Backed AI Tech Startup Founders. DMs open for intros

Joined October 2024
30 Photos and videos
Anthropic’s Claude Fable 5 and Mythos 5 were disabled because the government claims Anthropic could not cleanly separate foreign nationals from other users in real time. I’m talking to more and more organizations investing in their own GPU infrastructure and this is one of the biggest reasons why. Crazy to see just how far U.S. AI investments have come. It will be interesting to see what’s sort of regulations the government ends up imposing. #SovereignAI #AIRegulation x.com/emilychangtv/status/20…

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Sam Altman and Dario Amodei spent years warning AI would eliminate millions of jobs. Both just walked it back. A YC-backed founder I sat down with last week is not buying it. "I would be surprised if unemployment is below 50% in 10 years." Over or under 50% in 20 years? Drop your take below. Full episode with the founders of @sixtyfourai is live now. Link in comments. #AIAgents #FutureOfWork #OpenAI
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I talked to two founders who shipped a deep research agent before OpenAI launched theirs. @saarth_ and Christopher Price are building @sixtyfour_ai , the orchestration layer for company and people intelligence. Their agents traced everything on Jensen Huang from a single name input, including a phone number buried in a patent filing and a securities fraud lawsuit his PR team has never surfaced. They identified a suspected child predator from a single Instagram bio mention of a niche construction tool, connecting it to a storefront, a corporate registry, and a years-long behavior pattern across platforms in minutes. They found Mark Zuckerberg's hidden TikTok, his personal phone number from a 2021 data breach, and his pre-Facebook personal blog. Starting only with his name. What normally takes investigators days, their agents do in minutes. Link to the full episode in the comments! #AIAgents #DeepResearch #FutureOfWork
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I asked Rakesh Kothari, CEO and Founder of Deductive AI, if his company was just another observability platform. His answer changed how I think about the space. If Cursor is your software engineer, Deductive is your production engineer. Links to the full episode in the comments. #AIAgents #DevOps #SRE
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Most companies are evaluating AI agents the wrong way. Former VP of Engineering at @thoughtspot and CEO of Deductive AI, Rakesh Kothari, shares his #1 tip for procuring an AI agent. He calls it the internship model. Just like a new hire, you evaluate them over months, not days. An agent on day one looks nothing like an agent at the 6 month mark. Long drawn-out POCs are the wrong framework. Potential and trajectory are what matter. Links to the full episode in the comments. #AIAgents #AI #FutureOfWork
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42% of startups fail because they build solutions for problems that don’t actually exist. Another 18% fail because of team issues like weak domain expertise, poor GTM execution, or lack of business acumen. When I spoke with Rakesh Kothari, he brought up a concept more founders should think about: Founder product fit. Why your background, timing, and understanding of the market may matter more than the product itself. His perspective on why startups fail and what makes certain founders uniquely positioned to win. #Founders #Entrepreneurship #AI
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This AI CEO told me that most of what engineers do today won’t be needed in a few years. Not because engineers are disappearing. Because the entire abstraction layer of software development is changing. Rakesh Kothari: • Built Amazon Go’s checkout pipeline • Helped build one of Oracle’s first enterprise search engines • Was VP of Engineering at ThoughtSpot • Now runs Deductive AI, which raised $7.5M in their recent seed funding round. Two years ago AI agents could complete minutes of work. Now they can complete hours. And the curve is accelerating fast. The real question: Will software engineers be replaced by AI… Or simply operate at a much higher level? Curious where people stand on this over the next 3 years. #ArtificialIntelligence #SoftwareEngineering #AIAgents
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We have officially entered the day and age where software companies can no longer get by merely having a good application offering. You need to be able to have a platform that inherently does something that can’t just be vibe coded. #software #ai #vibecoding
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I asked Rakesh Kothari, founder of Deductive AI, whether the entire software development lifecycle will be fully automated in the next 5 to 10 years. His response: “I think you should be thinking in terms of 2 to 3 years.” That completely reframed how I think about where we’re headed. In our conversation, he shared a broader perspective on where this is going, including whether AI will replace engineers entirely and how quickly the impact will actually show up in real engineering workflows. It was that the first wave of transformation is already clear and accelerating fast. AI systems will increasingly take over debugging, testing, and large portions of the development lifecycle long before most teams are ready for it. As someone who talks daily with founders and leaders across data, AI, and engineering, I thought I had a solid read on the pace of change. I was wrong. Most people, including myself, are still underestimating how fast AI is compounding and how quickly software development itself is going to be reshaped over the next few years. Curious where others land on this. #ArtificialIntelligence #SoftwareEngineering #GenerativeAI
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A lot of engineers are getting the opportunity to switch into the product manager role. It’s fascinating to see people go from building the products to creating the roadmap. Really indicative of where we are headed with the evolution of AI. #Tech #AI #Siliconvalley
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I watched an interview with Jenson Huang the other day that I think is beneficial to all. He talked about how the purpose of your job and the tasks you’re assigned to do are similar but not the same. Purpose is constant, tasks are ever changing. If people keep this mindset and are willing to adapt instead of narrow in on a set group of tasks, they will be more successful than those that don’t. #Tech #JensonHuang #fyp
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The number of robotics companies emerging from stealth right now is insane. This isn’t just about better tech. ML has made robotics investable at scale. A lot of these bets feel less about the commercial upside and more about the future government dependency. Am I off here? #AI #Stealth #Robotics #Startups
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I listened to a podcast and watched a news segment yesterday that I think go very hand in hand with the AI arms race between the United States and China. In the Beijing half Marathon, the champion was a robot eho completed the course in 50 minutes and 26 seconds, surpassing the half marathon world record. In this podcast, Dan Wang, a research fellow at the Hoover Institution, Stanford University talked about how China has invested more in electrons to support AI while the U.S. has invested more in compute power. Curious which of these investments people think will be the lever to unlocking AGI first? #AI #AGI #Robot youtube.com/watch?v=1vUnusbz… open.spotify.com/episode/2Jf…
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