🔥 Privacy peril?
The next digital frontier
🐾 IN TODAY'S WILD
The shifting sands of online privacy, highlighted by Google's 'Privacy Sandbox' pivot, collide with the booming 'Retail Media' advertising wave led by Amazon, Google, and Meta. arXiv's enduring impact on scientific research underscores the power of online collaboration.
AI's rapid evolution continues with Perplexity's action-oriented Voice Assistant and Anthropic's deep dive into Claude's moral framework.
The development community sees the release of Qwen 3 as a model of best practice alongside Kortix AI's introduction of the versatile Suna AI agent. Real-world applications of AI image generation are also emerging, facing unexpected regulation from payment processors.
Finally, LeCun's thought-provoking insights challenge our fundamental understanding of AI intelligence.
How to build with AI, continue reading on [Wild Intelligence]
🦾 AI DAILY PULSE
If Google didn’t own Chrome, how would it manage privacy? We don’t know what privacy means in an LLM era, but this week, Google finally gave up on the Privacy Sandbox. [The Privacy Sandbox]—See my take below.
Amazon sold $56bn of ads last year, and Google and Meta want to help other retailers join in the ‘Retail Media’ boom - here, AdWeek breaks down Meta’s plans. [Adweek]
Modern science wouldn’t exist without the online research repository known as arXiv. Three decades in, its creator still can’t let it go. [Wired]
⚡️ TOP TRENDS
Perplexity released an agentic Voice Assistant. It utilizes web browsing and multi-app actions to book reservations, send emails and calendar invitations, play podcasts and videos, and more. Currently available in the Perplexity app, but only on iOS. Perplexity is on iOS, but problems remain for AI search firms. [Techtarget]
Anthropic mapped Claude's moral compass. The company analyzed the AI's conversations (over 300,000 chats) and found that it exhibits social, protective, personal, practical, and epistemic values. - Anthropic mapped Claude's moral compass. The company analyzed the AI's conversations (over 300,000 chats) and found that it exhibits social, protective, personal, practical, and epistemic values. Values in the wild: Discovering and analyzing values in real-world language model interactions. [Anthropic]
💻 TOP TECHIES
Qwen 3 offers a case study in how to effectively release a model. [Simon Willison’s Weblog]
Kortix AI released Suna, an open-source generalist AI agent that works as an "AI employee". It can reason and handle a range of tasks using a virtual computer, right from writing files and executing code to browsing the web and using the terminal. [X]
🔮 WHAT ELSE
Adult content, naturally, is a strong early use case for AI image generation, but, as we’ve seen in other spaces, Visa and Mastercard are effective ‘shadow regulators,’ refusing to allow payment processing for companies that don’t meet their Terms and Conditions. This week, ‘Civit’ (me neither) was hit with the ban hammer. [Reddit]
AI systems are not truly intelligent—we perceive them as such. LeCun's thoughtful remarks clarify the current discourse on AI and putinto perspective. It iThisa must-watch for anyone navigating the future of artificial intelligence.
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🌟 MY TAKE
If Google didn’t own Chrome, how would it manage privacy? We don’t know what privacy means in an LLM era, but this week, Google finally gave up on the Privacy Sandbox.
[The Privacy Sandbox]
The shifting sands of online privacy:
The evolution of privacy concerns: How have user expectations and regulatory pressures surrounding online privacy changed significantly since 2019? What are the key drivers behind this evolution?
The promise and peril of third-party cookies: What are the fundamental benefits and drawbacks of third-party cookies for advertising, publishers, and users? Why have they become such a central point of contention in the privacy debate?
The rise of privacy-enhancing technologies (PETs): Beyond the Privacy Sandbox, what other PETs are gaining traction? How do these technologies aim to balance data utility with user anonymity?
The regulatory maze: How have different global regulations (e.g., GDPR, CCPA, potential future legislation) influenced the development and adoption of privacy-focused solutions? What are the key points of divergence and convergence?
The implications of Google's decision:
Impact on the Ad-supported Internet:
How will the continuation of third-party cookie choices in Chrome affect the advertising ecosystem?
Will it hinder the adoption of alternative targeting and measurement methods?
The future role of the privacy sandbox APIs:
With the reduced urgency around third-party cookie deprecation in Chrome, what is the likely future for the Privacy Sandbox APIs?
Will adoption be slower? Will the focus shift?
Competitive dynamics:
How might Google's decision influence other browser vendors and their privacy approaches?
Could it create opportunities or challenges for companies developing alternative privacy solutions?
The user experience:
What does this decision mean for the average internet user?
Will they notice any significant changes in their online browsing experience or the level of privacy they have?
Looking ahead:
The potential of AI in privacy: How can AI be leveraged to enhance user privacy and security, as mentioned in Google's statement? What are some concrete examples of AI-powered privacy protections?
Alternative identity and targeting solutions: If third-party cookies eventually disappear, what are the most promising alternative approaches for identity management and targeted advertising? What are their respective privacy implications?
The ongoing dialogue: How can the industry foster more effective collaboration between publishers, advertisers, technology providers, regulators, and users to navigate the complexities of online privacy?
What do you think?
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