Private AI

<p>Most companies are still asking how to use AI. The next question is how to use it privately. When your team plugs Claude or ChatGPT into the company&#39;s documents, where does that data go, and what can the AI labs do with it?In this episode of Web3 in Travel, Luca De Giglio explains why your data is worth far more to an AI lab than it ever was to Google, why a $20 subscription buys hundreds of dollars of inference, and what &quot;we don&#39;t train on your data&quot; really promises. He then walks through the options for private AI, from the most private to the least: local open-weight models on your own hardware, private APIs for open models, and Trusted Execution Environments (TEEs). For each, what it costs and what it actually protects.He closes with the strategy: route each task to the right model, decide which data must never leave the company, and accept that total privacy does not exist. You manage risk, you don&#39;t cancel it.IN THIS EPISODE• Why LLMs extract more value from your data than ads ever did.• The real economics of a $20 AI subscription.• Could an AI lab become a competitor in your industry?• Local models and open weights: DeepSeek, Kimi K3, Qwen, gpt-oss.• Private APIs and anonymized inference: what they cost, how private they are.• TEEs: hardware attestation, and why you still have to verify.• Routing: the right task to the right model.• The first step: decide which data never goes near an LLM.MENTIONED• Vitalik Buterin on a local model deciding what to send to frontier models: https://x.com/VitalikButerin/status/2106537633056969024CHAPTERS0:00 Intro0:20 The next question: how do I use AI privately?0:59 Google sold ads. LLMs take the value1:33 Your best insight, in the next model2:39 Why a $20 subscription is so cheap4:34 Do they train on your data?5:24 When the AI lab enters your industry7:51 Local models and open weights10:07 The cost of running AI yourself11:25 Private APIs: paying full price13:08 How private is anonymized?14:21 TEEs: trusted execution environments16:12 Routing: the right task to the right model17:43 A strategy for your data19:48 The first step: data that never leaves21:21 Nothing is 100% privateFor collaborations, advisory work or speaking:info@web3intravel.comhttps://www.linkedin.com/in/luca-de-giglio/</p>