This Week in Startups
This Week in Startups

AI girlfriends, memories & recreations + Sam Altman testifies | E1743

Rachel joins Jason to discuss Caryn AI and its rapid rise in popularity before explaining Gen Z everyday uses for AI (1:11). They wrap up by breaking down the Senate hearing regarding AI regulation (49:56). (0:00) Rachel joins Jason (1:11) Rachel breaks down CarynAI (10:33) LinkedIn Jobs - Post your

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Jason Calacanis Host

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Episode Summary

Executive Summary: The episode centers on the rapid emergence of AI companionship and persona-cloning products, using Karen AI and Forever Voices as a case study to discuss monetization, ethics, and legal risk. It broadens into AI’s consumer use cases (writing, filters, prompts), concerns about deepfakes and uncanny bots, and the need for clearer regulation, with a major segment on U.S. Senate AI hearings and the debate over licensing, oversight, and model transparency.

Main Topics: AI companion products and persona monetization (Priority: 5/5): The hosts discuss Karen AI, a $1/minute AI version of influencer Karen Marjorie, hosted on Telegram and powered by GPT tech. They debate whether virtual companionship is a sustainable business and compare it to OnlyFans-like models. Ethics and legal issues of cloning public figures (Priority: 5/5): A major thread is whether companies can lawfully and ethically clone deceased or famous people like Steve Jobs without permission. Jason argues strongly that using a deceased person’s likeness commercially is gross and likely actionable. Consumer AI use cases beyond chat (Priority: 4/5): The conversation covers practical AI use for newsletters, resumes, summaries, research, and workflow automation, as well as future possibilities like talking to stored biographical corpora of historical figures. AI-generated beauty filters and identity distortion (Priority: 4/5): The hosts examine TikTok/Snapchat-style AI filters such as Bold Glamour and teenage-look filters, contrasting dystopian face-altering effects with more emotional nostalgia-based effects. Uncanny, personalized AI bots and privacy concerns (Priority: 4/5): The segment on Snapchat’s AI bot highlights how personalized, human-like responses can feel invasive and eerie, especially when the bot appears to know location or personal details. AI regulation and Senate hearings (Priority: 5/5): The episode reviews testimony from Sam Altman, IBM’s Christina Montgomery, and Senators Lindsey Graham and Richard Blumenthal, debating whether AI should require licensing or a dedicated agency. Historical analogies: phone hacks, media scandals, and pop culture (Priority: 3/5): Jason uses phone-booth voicemail hacking, Rupert Murdoch’s apology, Millie Vanilli, and other pop culture references to explain how society reacts to authenticity breakdowns and media manipulation.

Key Arguments: AI companion products are already generating meaningful revenue, suggesting a real market for virtual companionship and creator-persona monetization. Using a deceased or public person’s likeness without permission is ethically wrong and likely legally risky, especially when it is commercialized. AI is most valuable when used as a reasoning and synthesis engine on high-quality corpora like biographies, podcasts, and documents, rather than as a search engine. AI beauty filters and voice clones erode trust in images and audio, making it harder to know what is real. The public will need new norms and verification standards because AI makes deepfakes and synthetic personas cheap and scalable. A dedicated AI regulator or licensing regime may help, but there are major concerns that incumbents will use regulation to entrench their advantages. Existing tools and workflows like Slack, Notion, and browsers should integrate AI deeply and natively to become dramatically more useful.

Data Points: Karen Marjorie followers on Snapchat: 1.8 million - Audience size cited for the influencer who created Karen AI. Karen Marjorie followers on Instagram: 227,000 - Additional follower count mentioned for her social accounts. Snapchat posting volume: 250 posts per day - Fortune-reported activity level used to illustrate her extreme content output. Karen AI training data: 2,000 hours - The AI persona was trained on her now-deleted YouTube content. Karen AI beta revenue: $72,000 in a single week - Reported revenue during beta testing of the AI companion product. Projected monthly revenue: $5 million per month - Expectation if 20,000 of her 1.8 million followers subscribe. User count for Forever Voices: Over 20,000 users - Reported adoption as of April 19 after launch in early April. Paying users for Karen AI: Over 1,000 users - Users paying for different interaction types, from chat to intimate exchanges. Followers who are male: 99% - Used to explain the likely demand profile for the influencer’s AI companion. LinkedIn users: 875 million - Ad read claim used to promote LinkedIn Jobs.

Pivotal Quotes: "An AI girlfriend can't do that." — Jason: Said while reacting to the Wendy Deng clip defending Rupert Murdoch from a pie attack, contrasting real human loyalty with synthetic companions. "I think it's gross to do this without permission of somebody who's passed, you know, recently." — Jason: His ethical objection to Forever Voices using Steve Jobs’ likeness after death without family permission. "My worst fears are that we cause significant harm, we, the field, the technology, the industry, cause significant harm to the world." — Sam Altman (clip aired on show): From the Senate AI hearing, summarizing the risk case for regulation and oversight.

Implications: AI personas, filters, and bots are moving from novelty to mainstream product categories, but trust, consent, and identity rights will become central battlegrounds. Expect more regulation pressure, more lawsuits, and deeper integration of AI into everyday communication tools.

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About This Week in Startups

Jason Calacanis covers startups, tech, markets, media, and all the hottest topics in business and technology. He also interviews the world’s greatest founders, operators, investors, and innovators.

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