Sent this message to the Figure team today Brett Adcock 12:48 PM The company has doubled in headcount quickly. This might sound counterintuitive, but more headcount by default will only slow us down. What makes us special is our engineering speed and focus - I don't ever want us to lose this! I listed out a few principles so we can be effective warriors in the fight against corporate bloat: 1. I see far too many people in case study interviews. The candidate fail rate is quite high during case study interviews, a trend I expect to continue. We will not lower our hiring bar, but instead be more conscious of our time. Ideally 3 people or less at the case study. ME’s do their case studies via Zoom as it’s far more time-effective and on-sites directly after 2. I find large meetings are often inefficient. Too many cooks in the kitchen scenario. Only attend meetings where your participation is necessary, and feel free to leave if your contribution is not critical 3. Weekly meetings are cumulatively building-up and contribute to slowing down. Re-evaluate if recurring meetings are needed, reduce the number of people, and look at the frequency. Theme here is the less meetings the better 4. What's amazing is our progress given the poor engineering-to-robot ratio historically. The company’s progress is upper-bounded by the cumulative amount of robot hours per engineer per week. Give urgency to robot uptime and be thoughtful about your time on robot. This will be less of an issue as we scale up our fleet 5. Use our balance sheet as a competitive advantage for speed. e.g. never let our schedule be held-up by not having enough supply chain on-site. Be thoughtful about spending model in exchange for bringing the schedule left. 6. Use our in-office culture to your advantage. If you are stuck on a problem, the person who can fix this is sitting here - go directly to the source As a reminder, review our Goals for 2024. LFG

Excited to share: Figure raises $675M at $2.6B Valuation + OpenAI & Figure signed a collaboration agreement to develop next generation AI models for robots Below are the details: