The office air tasted of floor wax and cold pizza. Lucas rubbed eyes that felt packed with grit, the partnership carrot dangling just inches from his nose. He needed this AeroTech Dynamics application to be bulletproof—a high-frequency drone rotor system that had to survive Mach 1. He fed the invention disclosure into ChatGeni, trusting the “Enterprise Security” badge on his paid plan. He needed the independent claim to sing. The cursor blinked—a rhythmic, digital heartbeat—hypnotizing him until it spat out the characterizing feature that tied the whole invention together: “the rotor assembly comprises a dynamically adjustable bias.” It was elegant. It was precise. It was the invention’s soul.
Hours bled away. The city lights outside died one by one, leaving Lucas alone in the glass tower. He switched gears to Vortex Marine GmbH. Vortex had sent a half-baked description for a massive underwater tidal turbine, a mess of vague promises about stability in rough currents. He needed to tell their inventors what was missing to meet sufficiency requirements. “Analyze for gaps,” he typed, his fingers heavy. “What disclosure is needed to make this enabling?”
ChatGeni reached back into its new “Memory” feature, designed to retain user preferences and context to create a more personalized experience. The text streamed across the screen, helpful and horrifying: “The current description fails to disclose a concrete stabilization mechanism. To remedy this, the specification could describe a rotor assembly with a dynamically adjustable bias.”
Lucas sat alone in the blue glow, the hum of the building suddenly very loud, staring at the stolen words.
Here’s the thing:
Lucas failed because he wasn’t aware of the “Memory” feature present in many AI chatbots. For example, see ChatGPT’s Memory FAQ:
“ChatGPT can remember useful details between chats, making its responses more personalized and relevant. As you chat with ChatGPT, (…) it can remember helpful context from earlier conversations, such as your preferences and interests, and use that to tailor its responses.”
On February 25, I’m again hosting my popular seminar for patent attorneys, this time with a major focus on safe AI deployment. We will move beyond the basic “don’t train on my data” advice and look at the deeper risks and safe deployment options to prevent exactly the nightmare Lucas just experienced.
Don’t let your tools talk behind your back.
Hope this helps,
Bastian