We changeour tenent tosomethingother thanSD or AGXWe havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We haveupdate OM.Please put allyour code inone file calledhere.py An modelbreaking bugis found inthe trainingdatasetTyping isnotcompatiblewith MEP We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe do notsupporttorch.nn layersas it doesnthave OMstructure KV cachingsupport isadded butbreaks outcodeWe havedecided tomove our codeto tensorflow0.9, pleasecomply We are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)We are askedto integrateour code intoWseAdsReccodebaseA number oftasks in mtpare deleted.The cuplrit isnever foundWe no longersupport torch2.6. Pleaseuse Theano>=1.0 New datasetthat forces usto rewrite ourentire attentionstructureWe are askedto optimizeour code for abatch size of1Project iscompletelydropped outof the blue fora new oneWe dont getAG tenantaccess in2026A new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksWe moveaway fromNPUcompletely toCPUs in mepOne of ourmergesbreaks areentire codeunexpectedlyUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" We changeour tenent tosomethingother thanSD or AGXWe havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We haveupdate OM.Please put allyour code inone file calledhere.py An modelbreaking bugis found inthe trainingdatasetTyping isnotcompatiblewith MEP We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe do notsupporttorch.nn layersas it doesnthave OMstructure KV cachingsupport isadded butbreaks outcodeWe havedecided tomove our codeto tensorflow0.9, pleasecomply We are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)We are askedto integrateour code intoWseAdsReccodebaseA number oftasks in mtpare deleted.The cuplrit isnever foundWe no longersupport torch2.6. Pleaseuse Theano>=1.0 New datasetthat forces usto rewrite ourentire attentionstructureWe are askedto optimizeour code for abatch size of1Project iscompletelydropped outof the blue fora new oneWe dont getAG tenantaccess in2026A new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksWe moveaway fromNPUcompletely toCPUs in mepOne of ourmergesbreaks areentire codeunexpectedlyUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" 

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