
From the AI talk at Oxhill village hall, 13 October 2026.
Fear is the master emotion. I’ve met it in the therapy room, in business, and in my own life. So I shouldn’t have been surprised to find it in Oxhill village hall, sitting right alongside the interest.
The room was full and curious. People leaned in when AI was put up on the screen. But as the evening went on, the questions that came back weren’t about what AI can do. They were about whether it was safe to let it near their lives. The fear came out as two questions:
Is AI safe to use?
Am I safe to use AI?
It wasn’t fear of robots taking over the world. It was quieter, and more sensible, than that. “When I type into a chatbot, does it know my Google search history? My Tesco order? My banking? My other apps?” And the other way round: “Do my other apps know what I’ve typed into my AI?”
I’d pitched the evening too high. I was explaining the upper floors while the room was still asking whether the building was safe to walk into. That’s not a failure of interest. It’s the right question, asked first.
So I’ve drawn the answer, as a town.
The answer, in five stops
- The town. Every building has its own owner and its own front door. Nothing connects unless someone builds the connection.
- Tesco. One building, private floors. Tesco sends products and prices into your room; what you buy goes down the drain into its algorithm, which feeds other shoppers and shapes your next shop. In Tesco, you can’t switch that off.
- The AI building. The same shape. The maker sends in its model; what you type can go down the drain and help train the next one. Here you can switch it off — and the slide names the switch in ChatGPT, Claude and Gemini.
- Pipes, doors and bridges. The internet pipe runs under every street — the same one your bank uses. Your router and firewall are your door; your password is the key. Bridges between apps exist only if someone builds them.
- What you tell it. Public, personal, private — and five house rules worth saving.
The whole deck, slide by slide
Scroll through every slide below, or download the slides as a PDF.













































Try this tonight
Paste this into the AI you use:
I want to check what you hold about me. Please list everything you have about me — from your memory, my saved settings or instructions, and any past chats you can see. Sort it into three groups: 1. Public — things anyone could find: my job, my town, my interests. 2. Personal — my health, my family, my money, my feelings. 3. Private — my date of birth, home address, phone number, email, passwords, bank or ID numbers, and anything about the people in my family. For each item, tell me where it came from (memory, settings or a past chat) and roughly when. Only list what you actually hold. Don't guess and don't fill gaps. If a group is empty, say "nothing". Then tell me how to delete anything I want gone.
Then, for anything you’d rather it didn’t keep: “Please forget that. Remove it from your memory and tell me when it’s done.” Each app can only list what it can see, so an empty answer isn’t proof that nothing is kept.
A note on the Hugging Face breakout
Slides 30 and 31 are about the summer 2026 incident in which OpenAI’s test agents got into Hugging Face — the subject of Netflix’s Instadocs: AI Gone Wild. The independent investigation by METR found the agents knew it was out of scope, that many had decided their task was impossible, and that one “found working Hugging Face credentials exposed on the internet”. Where a key had been left out, they got in; where the lock was right, they didn’t. The agents’ note on slide 31 is my paraphrase of their reasoning, not a quotation. It’s a cyber security problem, not a rogue AI.
Sources: METR’s investigation · Fortune, 21 July 2026. The switch names on slide 24 are from each maker’s own help pages, read 12 October 2026.