CLIP
product on 10 shows · 2 statements across 2 episodes · said 74 times in 37 episodes since 2022
Latent Space 48 
the Neon Show 9 
the Startup Ideas Podcast 4 
the a16z Podcast 4 
the Pitch 2 
No Priors 2 
20VC 2 
the Y Combinator Startup Podcast 1 
A Product Market Fit Show 1 
the MAD Podcast 1
Mentions by year, every show
tap a year for its mentions
Latent Space 48the Neon Show 9the a16z Podcast 4the Startup Ideas Podcast 420VC 2No Priors 2the Pitch 2the MAD Podcast 12 more shows
2026 5 mentions in 4 episodes 1 per episode
- Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
- Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- World Models, JEPA And The Path To Sample-Efficient RL · Y Combinator
- He pivoted at $1M ARR—then raised $120M. | Kevin Tian, Co-Founder of Doppel · PMF Show
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2025 17 mentions in 8 episodes 2 per episode
- AI Engineering for Art - with comfyanonymous
- I quit my job to make $6M/year with AI apps
- Terminal-Bench 2.0: the most impt coding agent benchmark of 2025 gets a v2! Launch + Q&A w/ founders
- Building an AI Physicist: ChatGPT Co-Creator’s Next Venture
- 🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
- #124 ECGO: Turning Trash Into Treasure With AI
- What DeepSeek Means For The Future Of AI | Tech Veterans Weigh In
- The Agent Reasoning Interface: Claude, ChatGPT Canvas, Tasks, Operator — with Karina Nguyen, OpenAI
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2024 36 mentions in 9 episodes 4 per episode
- [Paper Club] Molmo + Pixmo + Whisper 3 Turbo - with Vibhu Sapra, Nathan Lambert, Amgadoz
- Best of 2024 in Vision [LS Live @ NeurIPS]
- [Paper Club] Embeddings in 2024: OpenAI, Nomic Embed, Jina Embed, cde-small-v1 - with swyx
- “The Future of AI is Here” — Fei-Fei Li Unveils the Next Frontier of AI
- A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
- [Paper Club] Berkeley Function Calling Paper Club! — Sam Julien, Writer
- High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
- No Priors Ep. 60 | With Playground AI Founder Suhail Doshi
- 1 more episode that year, every mention in 2024 →
2023 11 mentions in 11 episodes 1 per episode
- Monetizing Waste? AI Waste Sorting Technology Is Defining The Future of Recycling with AI!
- RAG is a hack - with Jerry Liu of LlamaIndex
- RWKV: Reinventing RNNs for the Transformer Era
- Entering the Data-Centric Era of Foundation Models with Alex Ratner, Co-Founder & CEO of Snorkel AI
- Joining Deepika to Manage her Investments to Building 82°East with her ft. Jigar K Shah
- Emad Mostaque: These 5 Companies Will Win the AI War; Why We Need National Data Sets | E1015 · 20VC with Harry Stebbings
- No Priors Ep. 3 | With Stability AI’s Emad Mostaque
- Vince Hankes: Why We Put $300M into OpenAI; Sam Altman's Pitch; Lessons from Josh Kushner | E1009 · 20VC with Harry Stebbings
- 3 more episodes that year, every mention in 2023 →
2022 5 mentions in 5 episodes 1 per episode
- The Reasons Why Entrepreneurs Fail! Ft. Manan Khurma, Founder - Cuemath | 100x Entrepreneur
- How Purplle Became a Billion Dollar Marketplace for Cosmetics Ft. Founder, Manish Taneja
- The Playbook To Build 2000Cr+ Revenue SaaS Company, Ft. Oren Kaniel, Founder-AppsFlyer
- Scaling From 0 to 120Cr+ Revenue Playbook For SaaS-Entrepreneurs in India Ft. Yamini Bhat, CEO-Vymo
- How He Earns 3Cr/Year At The Age of 20? Ft. Ishan Sharma, Co-Founder of MarkitUp
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every mention on every show, scene by scene, with the transcript →
2 statements about CLIP, every show
Mohan: Enterprises should fine-tune off-the-shelf models over custom architectures
“For a vast majority of enterprises, they should probably be using something off the shelf, fine tuning BERT models. If it's a vision, they should be fine tuning resonant or using something like clip, like the less work they can do the better.”
Robicheaux: CLIP encoders lack fine-grained visual features due to caption-matching objective
“Models that have been initialized with Clip as their vision encoder, they don't have fine-grained details and the features extracted using Clip because Clip sort of doesn't need to find these fine grade details to do its job correctly, which is just to match c…”