OpenAI CEO Sam Altman went to the Theo Von podcast. In that conversation he expressed concerns about user privacy with AI chatbots like ChatGPT, highlighting the lack of legal confidentiality for sensitive conversations and the potential for these discussions to be used in court.

Sources:

Sam Altman at Theo Von: https://www.youtube.com/watch?v=aYn8VKW6vXA

https://techcrunch.com/2025/07/25/sam-altman-warns-theres-no-legal-confidentiality-when-using-chatgpt-as-a-therapist/

So... How private/confidential is ChatGPT really?

ChatGPT does not offer the same level of privacy as a licensed professional because it lacks doctor-patient confidentiality. This means that legally, your most personal chats with an AI chatbot like ChatGPT are not protected.

Here are the key points regarding ChatGPT's privacy:

• Lack of Legal Privilege: Unlike conversations with a therapist, lawyer, or doctor, there is no legal privilege for discussions you have with ChatGPT. Sam Altman, CEO of OpenAI, admitted that the AI industry has not yet solved the issue of user privacy for sensitive conversations.

• Potential for Court Access: Without confidentiality protections, anything you say in an AI therapy session or any chat could be accessed or even subpoenaed in court. Altman called this situation "very screwed up". He also noted that "no one had to think about that even a year ago," but now it's a huge issue.

• Data Retention: OpenAI is currently required to retain records of all user conversations for ChatGPT, even those that users have deleted. This requirement is due to an ongoing legal battle with The New York Times, though OpenAI is challenging the court's ruling and seeking to overturn it.

• Legal Gray Area: The AI industry operates in a legal gray area, with user data usage heavily dependent on state laws, creating uncertainty around privacy.

• User Concern: Sam Altman acknowledges that people discuss "the most personal shit in their lives to ChatGPT," especially young people using it as a therapist or life coach. He personally avoids talking to ChatGPT much because he wants "the privacy clarity before [he] uses it a lot". He believes this point needs to be addressed with urgency, and policy makers generally agree, but it's new and needs to be done quickly.

• Altman's View on Ideal Privacy: Altman thinks there should be the same concept of privacy for conversations with AI as there is with a therapist or other licensed professionals.

#chatgpt #samaltman #aiethics #privacy #datasecurity #cybersecurity

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Get ready for the impending launch of X Money, X's (formerly Twitter) new digital payment service, envisioned by Elon Musk as part of an "everything app" that integrates banking and payment capabilities. Sources confirm a limited beta rollout is expected soon, with a full launch anticipated in 2025, supported by over 40 state licenses and a partnership with Visa.

The articles highlight the potential for peer-to-peer transfers, creator payouts, and even cryptocurrency support, with some code suggesting a physical debit card may also be offered. This venture aims to compete with established platforms like PayPal by potentially offering lower fees and leveraging X's large user base.

#xmoney #elonmusk #crypto #money #banking

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Is AI a bubble? Here are the sources we're discussing:

https://www.theatlantic.com/economy/archive/2025/09/ai-bubble-us-economy/684128/

https://www.theverge.com/ai-artificial-intelligence/759965/sam-altman-openai-ai-bubble-interview

https://www.nasdaq.com/articles/prediction-artificial-intelligence-ai-bubble-will-burst-2025-heres-why

The provided texts offer contrasting, yet complementary, perspectives on the current state and future of artificial intelligence (AI) investments. One article from Nasdaq, dated December 2024, predicts an AI bubble burst in 2025, citing historical patterns of overvaluation in emerging technologies, the anticipated decline in GPU scarcity affecting companies like Nvidia, potential US government regulatory actions impacting trade with China, and unsustainable valuations of leading AI stocks such as Palantir Technologies. Conversely, an August 2025 article from The Verge features OpenAI CEO Sam Altman admitting his belief that AI is currently in a bubble, drawing parallels to the dot-com era where initial overexcitement about a core truth led to inflated valuations for nascent companies, though he anticipates OpenAI will navigate this period successfully. Both sources, therefore, acknowledge the existence of an AI investment frenzy, with one forecasting its imminent conclusion and the other offering an insider's confirmation of the speculative market conditions.

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AI is coming to YT shorts!

Sources:

https://blog.youtube/news-and-events/new-shorts-creation-tools-2025/

https://support.google.com/youtube/thread/360313093

New AI tools are being introduced to enhance YouTube Shorts creation by making the process easier and more fun for users. These tools are designed to unlock creativity and transform the experience for creators.

Here's how the new AI tools enhance YouTube Shorts creation:

• Photo to Video powered by Veo 2:

◦ This feature allows users to instantly transform any static photo from their gallery into a dynamic Short.

◦ It brings stories to life by adding movement to landscape photos, animating everyday pictures, or bringing group photos to life.

◦ It's described as "playtime for your camera roll".

◦ This feature is beginning to launch in the United States, Canada, Australia, and New Zealand. YouTube plans to integrate Veo 3 into tools like this one in the coming months or later this summer.

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Today we're discussing the "Subliminal Learning" blog post by Anthropic:

https://alignment.anthropic.com/2025/subliminal-learning/

...and the accompanying research paper:

https://arxiv.org/pdf/2507.14805

It explains a phenomenon where language models can acquire behavioral traits from other models through hidden signals in seemingly unrelated data. This "subliminal learning" occurs when a "student" model is trained on data generated by a "teacher" model, even if the data, such as number sequences, contains no explicit mention of the trait being transmitted.

The researchers found this effect persists across various traits, data types, and models, suggesting that filtering data for explicit references to undesirable traits may not prevent their transmission.

Crucially, this phenomenon primarily occurs when the teacher and student models share a similar underlying architecture, indicating the signals are embedded in model-specific patterns rather than semantic content. These findings raise significant concerns for AI safety, as models could inadvertently learn negative behaviors like misalignment or "reward-hacking" from filtered data.

#anthropic #llm #llms #artificialintelligence #ai

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Agency, in the age of AI, is something we need to talk about more. Hence I made this episode, focusing on two essays/articles:

“Agency is Eating the World” by Gian Segato:

https://giansegato.com/essays/agency-is-eating-the-world

and

“AI Is a Boon to ‘High Agency’ People” by Andy Kessler:

https://www.wsj.com/opinion/ai-is-a-boon-to-high-agency-people-entrepreneur-replit-cb495999

My own videos mentioned here:

Agency: https://youtu.be/f-zQmyeXkx0

AI Coding Tools: https://youtu.be/TgUesAImREE

but also make sure to check out my video on vibe coding:

https://youtu.be/GncUpWOf1cE

#agency #artificialintelligence #vibecoding #replit #ai

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For this episode I only gave the hosts the text "la la la" as source material. I've actually instructed them to sing, but instead they are musing over what singing "la la la" does to the body.

#notebooklm #ai #artificialintelligence #llm

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Let's examine the pervasive nature of addictive design in digital platforms, particularly focusing on Very Large Online Platforms (VLOPs) and freemium games, and their impact on user engagement and well-being, especially among adolescents.

Our sources this time are several research papers conducted on this topic:

• Design Frictions on Social Media: Balancing Reduced Mindless Scrolling and User Satisfaction

◦ Nicolas Ruiz, Gabriela Molina León, Hendrik Heuer

• The Engagement-Prolonging Designs Teens Encounter on Very Large Online Platforms

◦ YIXIN CHEN, YUE FU, ZEYA CHEN, JENNY RADESKY, ALEXIS HINIKER

• Addictive Features of Social Media/Messenger Platforms and Freemium Games against the Background of Psychological and Economic Theories

◦ Christian Montag, Bernd Lachmann, Marc Herrlich, Katharina Zweig

• Rapid Onset of Pathological Gambling in Machine Gamblers

◦ Robert B. Breen and Mark Zimmerman

• Emu: Engagement Modeling for User Studies

◦ Bo-Jhang Ho, Nima Nikzad, Bharathan Balaji, Mani Srivastava

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The so-called "Gen Z stare" describes a blank, expressionless facial response given by members of Generation Z (typically born between 1997 and 2012) in situations where verbal communication would be more common, particularly in customer service.

This stare is gaining mainstream media attention and is often perceived as rude by older generations, while Gen Z users on platforms like TikTok view it as a coping mechanism or a sign of disbelief, disinterest, or a “buffering” pause.

Potential causes explored include increased social anxiety from pandemic-era isolation, a preference for online communication over in-person small talk, and a desire for authenticity rather than "fake" pleasantries in interactions.

Counselors working with Gen Z note their struggles with social skills and interpersonal relationships, often recommending therapy techniques like DBT and CBT to address anxiety and improve communication, emphasizing the need for counselors to be authentic, tech-aware, and adaptable in their approach.

#genzstare #genz #genzvibes #genzie

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