One of ourmergesbreaks areentire codeunexpectedlyA new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPNew datasetthat forces usto rewrite ourentire attentionstructureWe do notsupporttorch.nn layersas it doesnthave OMstructure Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" We havedecided tomove our codeto tensorflow0.9, pleasecomply KV cachingsupport isadded butbreaks outcodeWe are askedto optimizeour code for abatch size of1We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code Under the hoodall variablesmust be float16(16 bytes),including intsand strings. We are askedto integrateour code intoWseAdsReccodebaseWe moveaway fromNPUcompletely toCPUs in mepXWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksAn modelbreaking bugis found inthe trainingdatasetTyping isnotcompatiblewith MEP We dont getAG tenantaccess in2026We haveupdate OM.Please put allyour code inone file calledhere.py We changeour tenent tosomethingother thanSD or AGWe no longersupport torch2.6. Pleaseuse Theano>=1.0 A number oftasks in mtpare deleted.The cuplrit isnever foundWe are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useProject iscompletelydropped outof the blue fora new oneWe are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)One of ourmergesbreaks areentire codeunexpectedlyA new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPNew datasetthat forces usto rewrite ourentire attentionstructureWe do notsupporttorch.nn layersas it doesnthave OMstructure Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" We havedecided tomove our codeto tensorflow0.9, pleasecomply KV cachingsupport isadded butbreaks outcodeWe are askedto optimizeour code for abatch size of1We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code Under the hoodall variablesmust be float16(16 bytes),including intsand strings. We are askedto integrateour code intoWseAdsReccodebaseWe moveaway fromNPUcompletely toCPUs in mepXWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksAn modelbreaking bugis found inthe trainingdatasetTyping isnotcompatiblewith MEP We dont getAG tenantaccess in2026We haveupdate OM.Please put allyour code inone file calledhere.py We changeour tenent tosomethingother thanSD or AGWe no longersupport torch2.6. Pleaseuse Theano>=1.0 A number oftasks in mtpare deleted.The cuplrit isnever foundWe are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useProject iscompletelydropped outof the blue fora new oneWe are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)

HQ 2026 FUN - 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. One of our merges breaks are entire code unexpectedly
  2. A new model is added to our code, but for reasons beyond our control cant be used in MEP
  3. New dataset that forces us to rewrite our entire attention structure
  4. We do not support torch.nn layers as it doesnt have OM structure
  5. Variable support in dicts not supported. Please name all your keys as "var{i}"
  6. We have decided to move our code to tensorflow 0.9, please comply
  7. KV caching support is added but breaks out code
  8. We are asked to optimize our code for a batch size of 1
  9. We have dropped OM support, now we use OMG. Please overhaul code
  10. Under the hood all variables must be float16 (16 bytes), including ints and strings.
  11. We are asked to integrate our code into WseAdsRec codebase
  12. We move away from NPU completely to CPUs in mep
  13. X
  14. We beat the best baseline in mep but its quickly beaten by another model within 2 weeks
  15. An model breaking bug is found in the training dataset
  16. Typing is not compatible with MEP
  17. We dont get AG tenant access in 2026
  18. We have update OM. Please put all your code in one file called here.py
  19. We change our tenent to something other than SD or AG
  20. We no longer support torch 2.6. Please use Theano >=1.0
  21. A number of tasks in mtp are deleted. The cuplrit is never found
  22. We are given access to triton like NPU software. But its a nightmare to use
  23. Project is completely dropped out of the blue for a new one
  24. We are asked to overhaul the code based on an HQ code update (specifically not like others here)