I saw this one coming. Going to make more and more people switch over to gemini.
HN user
beiconic
Valid concern about the potential downsides of hyper-personalized advertising. A few counterpoints to consider:
1. Relevance: AI-generated ads, when done right, could actually make advertising less objectionable by making it more relevant and useful to consumers. Less spam, more signal.
2. Opt-in models: The industry is moving towards more privacy-centric, opt-in approaches. AI could enable better alignment between consumer preferences and ad content.
3. Regulation: As with any powerful new technology, robust regulation will be key to aligning AI advertising with consumer protection. GDPR-style data protections, disclosure requirements, etc.
4. Benefits to consumers: AI ads could fund better free products/services, as we saw with search and social. Trade-offs exist.
From an infrastructure perspective, I believe we have the technical foundations to do this in a privacy-preserving way:
1. AI ad platforms could process data on-device vs. centralized servers, enabling better privacy.
2. Differential privacy techniques can be used to process ad targeting data without directly accessing individual info.
3. Federated learning could allow ad targeting models to be trained without raw data ever leaving user devices.
So while the scale of data processing will be immense, I believe it's a solvable challenge with the right R&D focus and policy frameworks. Not saying it'll be perfect, but I believe aligning incentives between advertisers and consumers is possible with the right approach. What safeguards would you want to see?
Author here. This analysis explores how programmatic audio/video advertising could drive unprecedented GPU demand. Key technical points:
* Current compute requirements for video generation: 10x
* Audio personalization: 5x
* Real-time optimization: 3x
* Intent processing: 2x
Happy to discuss technical details, infrastructure scaling challenges, or specific implementation questions.
Location: New York City
Remote: Yes
Willing to relocate: No
Technologies: Python, Flask, Java, Hack, GraphQL, Chatbots, Elasticsearch, Google Cloud Search, AWS, S3, AWS Lambda, React, HTML/CSS, Github
Résumé/CV: http://www.chrisbora.com
Email: borachristian@gmail.com
About: SWE at one of the FAANGs