18. SSH connection died mid- experiment 21. The labels are completely wrong 14. The server is suspiciously slow today 20. We need more data 37. I’ll document this later 19. Server rebooted overnight. RIP my results. 31. Wait… which cell did I run last? 36. “Quick 5-min sync” = 45 minutes 6. Stakeholder ghosted after week 2 5. Can we make it real-time? 38. Nice pajama top on the call 28. Loss went to NaN on step 1 11. Who left training running ALL weekend? 39. Pet photobombed the video call 4. Requirements changed… again 15. Someone hogged all GPUs 40. Internet died at demo time 16. OOM killed at epoch 99 of 100 3. A meeting could have been an email 9. The business need has… evolved 30. Forgot to shuffle the dataset 10. When will the model be production- ready? 2. Actually, let’s pivot the entire approach 8. Just add ONE more feature before launch 34. This notebook is 2000 cells long 22. Who annotated this?! 17. Forgot to kill my process… sorry team! 1. Can we get 99.9% accuracy? 35. As per my last email… 24. The data is too noisy to use 25. Extreme class imbalance strikes again 29. Works perfectly on my machine 33. Restart kernel, run all, pray 23. Dataset has 47 samples. Total. 7. This should be simple, right? 32. Jupyter kernel died mysteriously 13. CUDA out of memory 27. Ground truth isn’t actually true Free! 12. Server crashed during the live demo 26. Test data leaked into training set 18. SSH connection died mid- experiment 21. The labels are completely wrong 14. The server is suspiciously slow today 20. We need more data 37. I’ll document this later 19. Server rebooted overnight. RIP my results. 31. Wait… which cell did I run last? 36. “Quick 5-min sync” = 45 minutes 6. Stakeholder ghosted after week 2 5. Can we make it real-time? 38. Nice pajama top on the call 28. Loss went to NaN on step 1 11. Who left training running ALL weekend? 39. Pet photobombed the video call 4. Requirements changed… again 15. Someone hogged all GPUs 40. Internet died at demo time 16. OOM killed at epoch 99 of 100 3. A meeting could have been an email 9. The business need has… evolved 30. Forgot to shuffle the dataset 10. When will the model be production- ready? 2. Actually, let’s pivot the entire approach 8. Just add ONE more feature before launch 34. This notebook is 2000 cells long 22. Who annotated this?! 17. Forgot to kill my process… sorry team! 1. Can we get 99.9% accuracy? 35. As per my last email… 24. The data is too noisy to use 25. Extreme class imbalance strikes again 29. Works perfectly on my machine 33. Restart kernel, run all, pray 23. Dataset has 47 samples. Total. 7. This should be simple, right? 32. Jupyter kernel died mysteriously 13. CUDA out of memory 27. Ground truth isn’t actually true Free! 12. Server crashed during the live demo 26. Test data leaked into training set
(Print)
18. SSH connection died mid-experiment
21. The labels are completely wrong
14. The server is suspiciously slow today
20. We need more data
37. I’ll document this later
19. Server rebooted overnight. RIP my results.
31. Wait… which cell did I run last?
36. “Quick 5-min sync” = 45 minutes
6. Stakeholder ghosted after week 2
5. Can we make it real-time?
38. Nice pajama top on the call
28. Loss went to NaN on step 1
11. Who left training running ALL weekend?
39. Pet photobombed the video call
4. Requirements changed… again
15. Someone hogged all GPUs
40. Internet died at demo time
16. OOM killed at epoch 99 of 100
3. A meeting could have been an email
9. The business need has… evolved
30. Forgot to shuffle the dataset
10. When will the model be production-ready?
2. Actually, let’s pivot the entire approach
8. Just add ONE more feature before launch
34. This notebook is 2000 cells long
22. Who annotated this?!
17. Forgot to kill my process… sorry team!
1. Can we get 99.9% accuracy?
35. As per my last email…
24. The data is too noisy to use
25. Extreme class imbalance strikes again
29. Works perfectly on my machine
33. Restart kernel, run all, pray
23. Dataset has 47 samples. Total.
7. This should be simple, right?
32. Jupyter kernel died mysteriously
13. CUDA out of memory
27. Ground truth isn’t actually true
Free!
12. Server crashed during the live demo
26. Test data leaked into training set
