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This clip shows how much AI model providers know about us. Knowing what prompts we use is even more intimate than our search queries. We're already scared of how ad algorithms show us what we want. Now model providers know how we think through our prompts.

AI will take over repetitive tasks and kill jobs. We need to adapt and focus on what AI can't do. That's how we continue providing value and make ourselves stand out.

Web2 focuses on credentials, while Web3 focuses on the work you've done. Credentials are great at showing what you're capable of, but actual work provides value. Even if you fail, it provides key takeaways to avoid making that same mistake again.

AI enables surveillance on a massive scale. Even the smallest of metadata leaks act as signals to build a comprehensive user profile. Protect your identity in Web3 with 1RPC.io: A privacy-preserving relay that's verifiable onchain.

How can we trust an agent with our funds and be sure that they do not misuse them? By running the execution logic in a TEE, we have verifiable guarantees that the agent only performs intended actions. Great to see how Newton uses TEEs for recurring token buys.

Web3 marketing is more than just hype: We need to have substance in what we post. Understanding the tech is key to: ❍ Knowing what pain points it solves ❍ Communicating real value instead of buzzwords ❍ Building trust with potential users

The secret to growing an audience is being hyper-specific at the start. Algorithms look to match audiences with content, and they won't know who to serve your content to if it's all over the place. We can start branching out once we've built that core group of fans.

Audio matters most for video. If video quality is poor, it's still bearable with good audio. The same can't be said the other way around. A lesson learnt for future events: Prioritise audio quality above all else for the recordings.