KV cachingsupport isadded butbreaks outcodeWe changeour tenent tosomethingother thanSD or AGUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. A number oftasks in mtpare deleted.The cuplrit isnever foundWe havedecided tomove our codeto tensorflow0.9, pleasecomply We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useOne of ourmergesbreaks areentire codeunexpectedlyWe dont getAG tenantaccess in2026New datasetthat forces usto rewrite ourentire attentionstructureVariablesupport in dictsnot supported.Please nameall your keys as"var{i}" We are askedto integrateour code intoWseAdsReccodebaseWe moveaway fromNPUcompletely toCPUs in mepAn modelbreaking bugis found inthe trainingdatasetTyping isnotcompatiblewith MEP We are askedto optimizeour code for abatch size of1We do notsupporttorch.nn layersas it doesnthave OMstructure We haveupdate OM.Please put allyour code inone file calledhere.py A new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPWe are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)Project iscompletelydropped outof the blue fora new oneWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksXWe no longersupport torch2.6. Pleaseuse Theano>=1.0 KV cachingsupport isadded butbreaks outcodeWe changeour tenent tosomethingother thanSD or AGUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. A number oftasks in mtpare deleted.The cuplrit isnever foundWe havedecided tomove our codeto tensorflow0.9, pleasecomply We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useOne of ourmergesbreaks areentire codeunexpectedlyWe dont getAG tenantaccess in2026New datasetthat forces usto rewrite ourentire attentionstructureVariablesupport in dictsnot supported.Please nameall your keys as"var{i}" We are askedto integrateour code intoWseAdsReccodebaseWe moveaway fromNPUcompletely toCPUs in mepAn modelbreaking bugis found inthe trainingdatasetTyping isnotcompatiblewith MEP We are askedto optimizeour code for abatch size of1We do notsupporttorch.nn layersas it doesnthave OMstructure We haveupdate OM.Please put allyour code inone file calledhere.py A new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPWe are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)Project iscompletelydropped outof the blue fora new oneWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksXWe no longersupport torch2.6. Pleaseuse Theano>=1.0 

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