Worksperfectlyon mymachineCan wemake itreal-time?The labelsarecompletelywrongJust addONE morefeaturebeforelaunchThe serverissuspiciouslyslow todayRequirementschanged…againA meetingcouldhave beenan emailCan weget 99.9%accuracy?Wait…which celldid I runlast?Forgot tokill myprocess…sorry team!Thisnotebookis 2000cells longNicepajamatop on thecallSSHconnectiondied mid-experimentFree!Groundtruth isn’tactuallytrueWhoannotatedthis?!Who lefttrainingrunning ALLweekend?OOMkilled atepoch 99of 100Datasethas 47samples.Total.Extremeclassimbalancestrikes againThe datais toonoisy touseWhen willthe model beproduction-ready?Someonehoggedall GPUsAs permy lastemail…Restartkernel,run all,prayServerrebootedovernight.RIP myresults.Forgot toshuffle thedatasetThebusinessneed has…evolvedActually,let’s pivotthe entireapproachWe needmoredataI’lldocumentthis laterPetphotobombedthe video callInternetdied atdemotimeJupyterkernel diedmysteriouslyThisshould besimple,right?CUDAout ofmemory“Quick 5-min sync”= 45minutesTest dataleaked intotraining setServercrashedduring thelive demoLoss wentto NaN onstep 1Stakeholderghostedafter week2Worksperfectlyon mymachineCan wemake itreal-time?The labelsarecompletelywrongJust addONE morefeaturebeforelaunchThe serverissuspiciouslyslow todayRequirementschanged…againA meetingcouldhave beenan emailCan weget 99.9%accuracy?Wait…which celldid I runlast?Forgot tokill myprocess…sorry team!Thisnotebookis 2000cells longNicepajamatop on thecallSSHconnectiondied mid-experimentFree!Groundtruth isn’tactuallytrueWhoannotatedthis?!Who lefttrainingrunning ALLweekend?OOMkilled atepoch 99of 100Datasethas 47samples.Total.Extremeclassimbalancestrikes againThe datais toonoisy touseWhen willthe model beproduction-ready?Someonehoggedall GPUsAs permy lastemail…Restartkernel,run all,prayServerrebootedovernight.RIP myresults.Forgot toshuffle thedatasetThebusinessneed has…evolvedActually,let’s pivotthe entireapproachWe needmoredataI’lldocumentthis laterPetphotobombedthe video callInternetdied atdemotimeJupyterkernel diedmysteriouslyThisshould besimple,right?CUDAout ofmemory“Quick 5-min sync”= 45minutesTest dataleaked intotraining setServercrashedduring thelive demoLoss wentto NaN onstep 1Stakeholderghostedafter week2

AI lab BINGO - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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