Deepen Parikh

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Deepen Parikh

Deepen Parikh

@deepenparikh

Partner @Courtsidevc investing in sports, gaming and lifestyle. Disillusioned @Ravens fan

New York, NY Katılım Eylül 2009
989 Takip Edilen8.8K Takipçiler
Tim Ferriss
Tim Ferriss@tferriss·
What are your favorite laugh-until-it-hurts movies that more people should see?
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Alex Lieberman
Alex Lieberman@businessbarista·
I want to start a community dedicated to Claude Code. It’s become the gateway drug to coding and experiencing the power of AI for tons of people. This will be a space for people to share killer use cases, agentic workflows, proven prompts, and connect with other CC obsessives. Comment “Claude” if you want to join.
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Dr. Jon Slotkin
Dr. Jon Slotkin@slotkinjr·
As a neurosurgeon I care a lot about road safety. By now you’ve probably seen @Waymo’s stunning safety results (like 91% fewer serious crashes). But they didn’t just publish data headlines. They released the raw CSV files and data dictionaries. I did a much deeper analysis. A fascinating story emerges when you analyze how they’re achieving this. This isn’t incremental improvement - it’s categorical. We’re looking at the potential elimination of traffic deaths as a leading cause of mortality. The intersection breakthrough: Waymo has essentially solved intersection crashes, with 95% fewer injury incidents than human drivers in the same locations. That’s transforming the deadliest driving scenario. The national math: If every US vehicle performed like Waymo, we’d prevent 33,000-39,000 deaths annually and save $0.9-1.25 trillion in societal costs. Even partial adoption at 27% would save ~10,000 lives per year. In terms of magnitude, this would be the equivalent of eliminating every pedestrian death nationally in a year. The physics signature: Here’s what fascinates me: 47% of Waymo’s contacts involve less than 1 mph delta-V. They’re not just avoiding crashes; they’re converting unavoidable incidents into gentle bumps. It’s like having physics itself on your side. We’re not talking about marginal safety gains. The data represents a fundamental shift from harm reduction to harm prevention. The methodology matters: I used their dynamic geographic benchmarks (comparing like-for-like road conditions) and verified the findings hold across San Francisco, Phoenix, LA, and Austin. The safety advantage actually increases in more complex urban environments. Link to raw data below…. Notes on my approach: Analysis based on 96 million miles of Waymo Rider-Only (RO) data through June 2025, utilizing Waymo's dynamic geographic benchmarks to compare Waymo Driver performance against human drivers under similar road conditions and operational design domains. The projections for national impact (deaths prevented, societal costs) involve several assumptions. Given Waymo's zero reported fatalities, the direct serious injury reductions were mapped to national fatality statistics using established NHTSA-derived ratios that correlate serious injury crash rates with fatality rates. This extrapolation assumes that Waymo's observed serious injury prevention capability would translate proportionally to fatality prevention. Societal cost savings are estimated by applying average per-fatality and per-injury economic costs (e.g., medical, lost productivity, quality of life) as published by NHTSA, scaling these national averages to the projected number of avoided fatalities and injuries based on Waymo's safety performance. These figures represent the potential annual impact if the Waymo Driver's safety profile were widely integrated into the national fleet. @ethanteicher
Dr. Jon Slotkin tweet media
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Deepen Parikh
Deepen Parikh@deepenparikh·
I’m taking the under on Nico moving up the baby name chart in 2025.
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Henry Shi
Henry Shi@henrythe9ths·
There's a shocking fact about AI that nobody tells you: You can catch up to the public AI research frontier in just 2 weeks. Yes, really. I've built a $150M annual revenue startup over the last 8 years and If I were to start a company today, I’d drop everything and go all-in on AI. But like many busy software builders, I felt lost—overwhelmed by the noisy, crowded and fast-moving modern AI landscape. And I wasn’t alone. So I spent my entire holiday diving deep into AI research—reading 30+ papers, watching hours of lectures, analyzing trends, and catching up to the research frontier. ✨ Here’s what I learned: - You don’t need months (or years) to catch up. - You don’t need a PhD or decades of ML experience. - You need fewer than 20 papers and 2 weeks to understand the major breakthroughs shaping AI today. It's because the technology is extremely nascent and most techniques that came before are no longer relevant: - ChatGPT is barely 2 years old and Transformers are only 7 years old. - Most game-changing discoveries happened within the last 4 years, driven by a few breakthrough ideas, scaling laws, and efficient matrix multiplication. The biggest secret? Many groundbreaking AI papers with thousands of citations are surprisingly simple and applied, like adding "let's think step by step" to the prompt, or simply asking the LLM over and over again to improve its answer (Self-Refine). I realized there are tons of founders and builders in the same boat—wanting to dive deeper into AI but unsure where to start. I've created an essential AI Guide that helped me catch up, in just 2 weeks, to the frontier of public AI research to figure out where the next opportunities and gaps were: - Curated list of only the most important papers - Simple explanations of key concepts - Clear pathway to understanding the frontier of modern AI It’s perfect for: - Founders expanding into AI - Builders wanting to innovate at the frontier of AI - Investors looking to separate the signal from the noise 👇 Want the full guide? - Like and Share this post - Comment "AI Guide" - I'll send you the complete guide (ps, I’m also teaming up with @VishalVasishth, co-founder of @obviousvc with @ev (focused on large-scale societal impact companies like Twitter, Medium, Beyond Meat), to host a small meetup to discuss what's working and needs to be solved in the AI stack in SF. Message me if you're interested)
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Deepen Parikh
Deepen Parikh@deepenparikh·
Next time I just casually scroll through some news headlines about a 6.0 earthquake like it's nothing, I'm going to remember how I just panicked out about a 4.8.
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
What’s something that’s always worth the money?
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John Brennan
John Brennan@brennanjp·
The @ACMomento Messi World Cup auction is officially OPEN for bidding at @Sothebys, and somebody already bid $5.2 million. 14 days to go... 🍿
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John Brennan
John Brennan@brennanjp·
Today at @ACMomento we are THRILLED to announce a partnership with @Sothebys for a historic auction featuring six shirts worn by Lionel Messi in the World Cup last year, including in the Final against France. More details about the auction in the next post.
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Holograph
Holograph@holographxyz·
Introducing Multichain Open Editions with world-renowned artist, Dan Witz, featuring artwork from his @DIOR collaboration ✗ First ever multichain open edition ✗ 48-hour mint ✗ Available on Ethereum, Polygon, Avalanche, & BNB Mint "Mosh Pit 2000" ╰app.holograph.xyz
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Joe Pompliano
Joe Pompliano@JoePompliano·
Crossed 500,000 followers this morning 👀 It feels like a vanity metric, but I'm proud of the consistency and effort it took to get here. Appreciate all of you! Next stop, 1M.
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Deepen Parikh
Deepen Parikh@deepenparikh·
Chipotle’s really brining new meaning to “this offer expires soon”. I have 27 years to decide if I want the chips and guac or the queso.
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Deepen Parikh
Deepen Parikh@deepenparikh·
Hot Take: cut up pickles in your salad is a game changer. If you haven't tried it, give it a shot. You won't regret it.
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Premal S. Shah
Premal S. Shah@premal2000·
@deepenparikh I’ll take your restaurant recommendations any day but this is a hill I’m not climbing with you.
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