We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe are askedto optimizeour code for abatch size of1We do notsupporttorch.nn layersas it doesnthave OMstructure We changeour tenent tosomethingother thanSD or AGWe are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)We moveaway fromNPUcompletely toCPUs in mepProject iscompletelydropped outof the blue fora new oneWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksXKV cachingsupport isadded butbreaks outcodeNew datasetthat forces usto rewrite ourentire attentionstructureUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. We no longersupport torch2.6. Pleaseuse Theano>=1.0 We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code An modelbreaking bugis found inthe trainingdatasetVariablesupport in dictsnot supported.Please nameall your keys as"var{i}" One of ourmergesbreaks areentire codeunexpectedlyWe are askedto integrateour code intoWseAdsReccodebaseA new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPTyping isnotcompatiblewith MEP We havedecided tomove our codeto tensorflow0.9, pleasecomply We haveupdate OM.Please put allyour code inone file calledhere.py A number oftasks in mtpare deleted.The cuplrit isnever foundWe dont getAG tenantaccess in2026We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe are askedto optimizeour code for abatch size of1We do notsupporttorch.nn layersas it doesnthave OMstructure We changeour tenent tosomethingother thanSD or AGWe are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)We moveaway fromNPUcompletely toCPUs in mepProject iscompletelydropped outof the blue fora new oneWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksXKV cachingsupport isadded butbreaks outcodeNew datasetthat forces usto rewrite ourentire attentionstructureUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. We no longersupport torch2.6. Pleaseuse Theano>=1.0 We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code An modelbreaking bugis found inthe trainingdatasetVariablesupport in dictsnot supported.Please nameall your keys as"var{i}" One of ourmergesbreaks areentire codeunexpectedlyWe are askedto integrateour code intoWseAdsReccodebaseA new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPTyping isnotcompatiblewith MEP We havedecided tomove our codeto tensorflow0.9, pleasecomply We haveupdate OM.Please put allyour code inone file calledhere.py A number oftasks in mtpare deleted.The cuplrit isnever foundWe dont getAG tenantaccess in2026

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