20VC: Five Predictions for a World of Agents | The Ads Business Model Will Die | Biggest Lessons from Working with Elon Musk at Twitter with Parag Agrawal, Parallel
episode
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
56 min
1 speaker
8 chapters
transcribed 21 hours ago
Transcript
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Transcript generated automatically by AI and may contain errors.
What is the main topic discussed in this episode?
We're gonna see the big or the frontier models be bigger and bigger over time. It appears there is no end to the scaling law that we can perceive so far. I think today we don't know how to pay for unique valuable insight or data. Ads don't work with agents in their current form. You need to find a replacement to the ads business model. I do think there should be some disparity in wealth, but I don't know what's too much.
This is 20 VC with me, Harry Stebbings. Now, what do Andrew Reid, Vinog Kosler, and Josh Kroppenman all have in common? Well, they all believe in Parag Agroel to change the future of agentic search. Parag is the founder of Parallel, as I said, changing the future of how agents do web search efficiently. This is an incredible discussion on the future of agentic search, the future of income and wealth inequality, and so much more. Rarely does shows, and so it was very special to sit down in person with him in London. But before we dive into the show today, MongoDB has always been the database developers love. Well, now it's the data platform AI agents need. Agents need accurate context, fast. MongoDB stores, searches, and reasons over your data in real time.
JSON native database, vector search, and Voyage AI embeddings all in one. One place. One system instead of 10, no data pipelines to maintain. Ugh, this sounds too good to be true. Build and scale from your first user to billions of vectors, run on any cloud, on-prem, or your laptop even. That's why 75% of the Fortune 100 run their most critical apps on MongoDB, moving trillions of dollars every single day. And it's why AI native companies like Eleven Labs run 40 million. Agents on MongoDB. So if you're building an AI, MongoDB for startups helps you move faster with Atlas and Voyage AI credits and dedicated support. Don't build agents that answer once and forget. Build agents that remember and learn from your real-time data.
Go to mongoDb.com/slash agents. That's m-o-n-g-odb.com slash agents. While MongoDB DB scales the product. Framer scales the story. When a new landing page turns into a pile of tickets and handoffs, Framer helps your team move faster. Framer is the AI website builder that helps creators, teams, and businesses ship production ready sites faster than ever while getting every detail right. Prompt, inspect, edit, and publish in one place at a whole new pace. Agents and humans work in tandem. Agents bring speed and scale, you bring taste, judgment and control. The work lands on the canvas and stays editable. Build custom code components, manage CMS content, optimize SEO, and audit for issues all in one place.
Enterprise grade hosting, security, and 99.99% uptime SLAs, trusted by leading brands like Perplexity and Miro. Learn how you can get more out of your site. A framer specialist will get us started building for free today at Framer.com slash 20vC for 30% off a Framer Pro annual plan. That's framer.com slash 20vc. Rules and restrictions may apply. You have now arrived at your destination. Parag I'm so excited for this dude. I spoke to Vinod, I spoke to Andrew Reed, I spoke to Todd Jackson. Dude, I stalked the Shit out of you. So thank you for joining me.
Thanks for having me and thanks for making all the calls. Not at
all. Um I would love to start with for anyone that doesn't know, how would you describe parallel in sixty seconds?
Parallel is the Google for agents. So agents need to search the web to do anything they do for you, whether it's a personal agent or an agent built for work. Just like humans need to go on a browser search Google oftentimes during work or for whatever you're doing in life, your agent needs to do the same. Turns out agents are different from humans, and the way you build web search for agents is different. Parallel is about building the technology for agents. to search the web and then the business models to make that sustainable. Was that the original insight that you had? Yeah, literally the first genesis of the company was the statement that agents will use the web thousand X more than humans.
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Chapters
8 chapters
1
What is the main topic discussed in this episode?
0:00–12:29
2
What is Parallel and how does it serve AI agents as a “Google for agents”?
12:29–19:09
3
How will agents searching the web 1,000× more affect the technology stack and compute requirements?
19:09–25:39
4
What trade‑offs do agents face between speed, cost, and accuracy when searching the web?
25:39–33:01
5
How can web‑search infrastructure be optimized for tiny models versus large frontier models?
33:01–39:38
6
Why will the traditional ads business model die in a world dominated by AI agents?
39:38–46:09
7
How can content owners be fairly compensated when agents consume their data?
46:09–51:54
8
What guardrails and safety measures are needed to keep AI agents from breaking the rules?
51:54–56:49
Speakers
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