Can weget 99.9%accuracy?Free!Thisshould besimple,right?Groundtruth isn’tactuallytrueServerrebootedovernight.RIP myresults.Can wemake itreal-time?OOMkilled atepoch 99of 100Whoannotatedthis?!Thisnotebookis 2000cells longTest dataleaked intotraining setWho lefttrainingrunning ALLweekend?We needmoredataJust addONE morefeaturebeforelaunchLoss wentto NaN onstep 1Servercrashedduring thelive demoSomeonehoggedall GPUsThebusinessneed has…evolvedWorksperfectlyon mymachineThe labelsarecompletelywrongForgot toshuffle thedatasetAs permy lastemail…Nicepajamatop on thecallActually,let’s pivotthe entireapproachJupyterkernel diedmysteriouslyCUDAout ofmemoryExtremeclassimbalancestrikes againThe serverissuspiciouslyslow todayRequirementschanged…againWait…which celldid I runlast?“Quick 5-min sync”= 45minutesWhen willthe model beproduction-ready?Internetdied atdemotimeThe datais toonoisy touseForgot tokill myprocess…sorry team!I’lldocumentthis laterRestartkernel,run all,prayStakeholderghostedafter week2Datasethas 47samples.Total.SSHconnectiondied mid-experimentPetphotobombedthe video callA meetingcouldhave beenan emailCan weget 99.9%accuracy?Free!Thisshould besimple,right?Groundtruth isn’tactuallytrueServerrebootedovernight.RIP myresults.Can wemake itreal-time?OOMkilled atepoch 99of 100Whoannotatedthis?!Thisnotebookis 2000cells longTest dataleaked intotraining setWho lefttrainingrunning ALLweekend?We needmoredataJust addONE morefeaturebeforelaunchLoss wentto NaN onstep 1Servercrashedduring thelive demoSomeonehoggedall GPUsThebusinessneed has…evolvedWorksperfectlyon mymachineThe labelsarecompletelywrongForgot toshuffle thedatasetAs permy lastemail…Nicepajamatop on thecallActually,let’s pivotthe entireapproachJupyterkernel diedmysteriouslyCUDAout ofmemoryExtremeclassimbalancestrikes againThe serverissuspiciouslyslow todayRequirementschanged…againWait…which celldid I runlast?“Quick 5-min sync”= 45minutesWhen willthe model beproduction-ready?Internetdied atdemotimeThe datais toonoisy touseForgot tokill myprocess…sorry team!I’lldocumentthis laterRestartkernel,run all,prayStakeholderghostedafter week2Datasethas 47samples.Total.SSHconnectiondied mid-experimentPetphotobombedthe video callA meetingcouldhave beenan email

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