Jul 25, 2026
AI Safety Basics, Exploit Gym, and a 438km Tesla FSD Trip — Plus Kimi K3 and Agentic Tools
With John away, Jim and Marcel discuss recent AI security concerns, arguing that sensational claims about an OpenAI model “escaping” distract from basic safeguards like network segmentation and monitoring, especially when testing hacking capability via the Exploit Gym benchmark in a sandboxed, virtualized environment. They pivot to self-driving, with Marcel describing a new rear-wheel-drive Tesla Model Y that drove 438 km to Gananoque and back on supervised Full Self-Driving, including automated routing to Superchargers and self-parking, and they note winter and sensor considerations plus lower fueling costs. The conversation shifts to enterprise AI costs and Chinese models like Kimi K3, Qwen, GLM, and DeepSeek, emphasizing experimentation, data governance, and that huge models require data centers. They highlight agentic systems that can install and run software, memory tools like Mnemosyne, and reflect on how AI could free time for higher-level thinking.
00:00 John Is Away
00:47 Writing And AI Escapes
02:24 Movie Hacking Myths
04:45 Robot Ducks And Chicks
06:04 Exploit Gym Explained
10:36 Agents And Emergence
12:45 Security Lessons Learned
17:05 Self Driving In China
18:35 Tesla Road Trip FSD
25:45 Winter Range And Sensors
28:48 EV Range Reality Check
29:22 Charging Costs and Solar
30:17 Why CIOs Fear AI Costs
32:29 Chinese Models and Multimodal
33:21 Open Source Catch and Sandboxes
35:30 Picking the Right Model Mix
37:33 Innovation vs Reliability Lessons
41:18 Foreign Car Analogy for AI
45:41 What to Use and Pay For
47:33 Voice Mode Gets Real
49:40 Agents That Do the Work
54:20 Memory Plugins and Skill Atrophy
57:59 Habits, Choice, and Closing Thoughts