Robb Wolf
44.4K posts

Robb Wolf
@robbwolf
Dad, husband. 2x New York Times/WSJ best selling author. Biochemist.BJJ Black Belt. Freedom To Transact. Co-Founder LMNT














I just gave a closed-book, pen-and-paper midterm exam in my 300-level course at UBC with 100 students. All exams were graded by an experienced graduate-level TA according to a rubric. *** The average was 64/100.*** My class averages at UBC are usually 80-85. Context: • This was the first midterm, covering ONLY 4 weeks of material. • Students had a list of possible questions in advance: no surprise questions. • Questions included (a) 3 concept definitions, (b) 3 paragraph-long questions, and (c) a 1.5-page essay. • I have taught this class multiple times. Nothing in my teaching style changed this semester. • We read entire paragraphs of text in class, so students don't have to do something on their own that wasn't covered during the lecture. • Students take a 10-question multiple-choice quiz at the end of every class (30% of the final grade). • Attendance is 95-99% every class. Attention during lectures and participation in pair-work activities are very high → anticipating the end-of-class quiz. *** But unfortunately, I suspect many students are not reading the material on the syllabus. They are asking LLMs to summarize it instead.*** After the midterm, students reported: • They thought they knew concept definitions but couldn't produce them on paper. • They thought they understood the arguments but struggled to connect them or identify points of agreement and disagreement. My view: It might be “cool” or “innovative” to teach students to summarize readings with ChatGPT or write essays with Claude. But we may be doing them a disservice: reducing their ability to retain material, think creatively, and reason from what they know. If you only read what AI has summarized for you, you don’t truly "know" the material. Moving forward: We have a second midterm coming up. I don't know how to convey to students that the best way to do better on the exam is to rely on and improve their own reading skills.





🚨🚜 AI Is Now Farming… Lasers Are Killing 600,000 Weeds Per Hour🚨 Post This is not sci-fi. This is modern agriculture. What you are looking at is the Carbon Robotics LaserWeeder, one of the most advanced AI farming machines operating in the world today. It is mounted behind a standard @JohnDeere tractor and runs entirely off the tractor’s diesel engine through the PTO shaft. Here is what is actually happening. The machine uses high-resolution cameras and NVIDIA-powered AI processors to scan the field in real time. The system analyzes every plant it sees. Crop or weed. In milliseconds the AI identifies the difference with sub-millimeter accuracy. Once the weed is identified… A laser fires. The laser instantly destroys the weed at the cellular level without disturbing the soil or harming nearby crops. No herbicides. No chemicals. No tilling. Just pure precision. And the scale is staggering. Up to 10,000 weeds per minute That is roughly 600,000 weeds per hour while the tractor simply drives across the field. The NVIDIA GPUs are the “brain.” They run the AI computer vision model that identifies plants in real time. The tractor’s engine powers a generator on the implement which supplies electricity to the lasers, cameras, cooling systems, and computing hardware. This is why farmers are excited. Less chemical spraying. Lower environmental impact. Higher precision farming. And dramatically reduced labor. AI is not just changing software or social media. It is transforming the physical world. Even the weeds don’t stand a chance anymore. #SilentMajoritySpeaks #AStoneGroove













