One of ourmergesbreaks areentire codeunexpectedlyWe havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code An modelbreaking bugis found inthe trainingdatasetWe haveupdate OM.Please put allyour code inone file calledhere.py XWe are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)We havedecided tomove our codeto tensorflow0.9, pleasecomply A new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPWe are askedto integrateour code intoWseAdsReccodebaseWe are askedto optimizeour code for abatch size of1Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" A number oftasks in mtpare deleted.The cuplrit isnever foundWe are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe do notsupporttorch.nn layersas it doesnthave OMstructure KV cachingsupport isadded butbreaks outcodeWe moveaway fromNPUcompletely toCPUs in mepUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. We beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksProject iscompletelydropped outof the blue fora new oneWe dont getAG tenantaccess in2026We changeour tenent tosomethingother thanSD or AGTyping isnotcompatiblewith MEP We no longersupport torch2.6. Pleaseuse Theano>=1.0 New datasetthat forces usto rewrite ourentire attentionstructureOne of ourmergesbreaks areentire codeunexpectedlyWe havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code An modelbreaking bugis found inthe trainingdatasetWe haveupdate OM.Please put allyour code inone file calledhere.py XWe are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)We havedecided tomove our codeto tensorflow0.9, pleasecomply A new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPWe are askedto integrateour code intoWseAdsReccodebaseWe are askedto optimizeour code for abatch size of1Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" A number oftasks in mtpare deleted.The cuplrit isnever foundWe are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe do notsupporttorch.nn layersas it doesnthave OMstructure KV cachingsupport isadded butbreaks outcodeWe moveaway fromNPUcompletely toCPUs in mepUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. We beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksProject iscompletelydropped outof the blue fora new oneWe dont getAG tenantaccess in2026We changeour tenent tosomethingother thanSD or AGTyping isnotcompatiblewith MEP We no longersupport torch2.6. Pleaseuse Theano>=1.0 New datasetthat forces usto rewrite ourentire attentionstructure

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