Graph Theory Goes Brrr While AI Conquers Brains

Engineering students don't need friends when they can build their own walking companions. That robot is probably the only entity that understands your differential equations jokes. The irony of creating advanced humanoid robotics while lacking basic human connection is peak engineering department culture. At least the robot won't borrow your calculator and never return it.

Machine learning engineers sweating nervously as they run the same training algorithm for the 47th time with slightly different parameters! Einstein's definition of insanity hits way too close to home when you're tweaking hyperparameters at 2AM hoping for magical results. The monkey's side-eye perfectly captures that moment when your neural network still has 98% error rate despite your "brilliant" adjustments. Gradient descent? More like gradient distress!

The meme hilariously mocks how people try to spot AI-generated content by counting em dashes! Einstein's actual 1905 paper on special relativity (which revolutionized physics by showing electricity and magnetism are two sides of the same coin) uses FOUR em dashes in its first paragraph. By modern "AI detection logic," Einstein would be flagged as a bot! The irony is delicious—our primitive AI detection methods would label one of history's greatest geniuses as artificial intelligence. Maybe being mistaken for AI is actually a compliment? *twirls mustache maniacally*

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Content V rigght the area of your graph where the cart was moving at a constant velocity on the flat pat of the graph which should have a constant negative slope. This is where the cart was not accelerating. 11 12. 13. 14. Use the cursor, tap and release where it begins, then drag to where the run ends and again tap and re You should now have the area highlighted where the cart was moving at a constant velocity. Press menu > 2: Data - 5: Strike Data - 2: Outside Selected Region verify that vou have selected the portion of vour eraph that shows the can mo vita a consrant veocin° n should be a line rising from left to right. If vou need to reselect do that now 15. 16. Press menu -> 4: Analyze -> 6: Curve Fit -> 1: Linear in the window that pops up record the slope (m) value into Table 2, this is the measured velocity. Ignore the slopes negative sign. The sensor measures obiects moving toward it as going in a negative direction. 17. Repeat steps the previous steps for vour other trials 18. Table 2 save your work on the calculator; press doc › 1: File -> 4: Save Run Height Measured v (m/S) 19. Submit your work; press doc -> 1: File -> 6: Send (m) Observations 0.100 20. Did the cart's velocity decrease when it was released from the lower 1.88 marks? It so, why do you think this may have happened? 2 0.075 ,953 21. acce era Use your measured (Table 2) and theoretical (Table 1) values to compute the percent % difference measured. theoretical k 100 ditterence for each run rhonrorical 0.050 4 0.025 .830 .603 Run 2 з 4 Height Measured v (m) (m/s) Table 3 Theoretical v (m/s) Percent Difference 0.100 1.188 ,245 984% 0.075 953 1.187 412% 0.050 830.125 5649 0.025 603.066 99581 Calculations: table 1 22. Were you successful in predicting the velocity of the car at the bottom of the ramp? NO. Absslutely Use the mass of the cart and g = 9.8 m/s? to theoretical gravitational potential enerov (C the 10 cm (0.10 m) height. Use the measur cart for the 10 cm heicht (Run #1\ to calcu energy (KE) of the cart. Record this inforn Calculations: 25. How does the gravitationa potential er 26. Based on vour results. did all of the in 27. If there is a difterence between the caused the ditterence: Synthesize 28. What was the independent varia 29. What did you measure? 30. what was the result when vou Error Analysis 31 What were the sources of err Conclusions 32. Did the initial height of the 33. Do your results support yc Case v2 Case

Turns out the fancy "self-driving car" is just a bunch of sensors in a trench coat! Strip away the marketing hype and you'll find the real heroes—LIDAR bouncing lasers off everything like a disco ball, and radar mapping the road like an overachieving hall monitor. Next they'll reveal the "AI" is actually three squirrels with calculators. The tech industry's greatest magic trick isn't the technology—it's convincing us it's magic instead of glorified distance measuring with fancy algorithms.