We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksWe dont getAG tenantaccess in2026A number oftasks in mtpare deleted.The cuplrit isnever foundXWe haveupdate OM.Please put allyour code inone file calledhere.py Under the hoodall variablesmust be float16(16 bytes),including intsand strings. One of ourmergesbreaks areentire codeunexpectedlyWe do notsupporttorch.nn layersas it doesnthave OMstructure Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" We are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)We are askedto optimizeour code for abatch size of1Typing isnotcompatiblewith MEP We havedecided tomove our codeto tensorflow0.9, pleasecomply A new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPWe no longersupport torch2.6. Pleaseuse Theano>=1.0 KV cachingsupport isadded butbreaks outcodeAn modelbreaking bugis found inthe trainingdatasetWe are askedto integrateour code intoWseAdsReccodebaseWe changeour tenent tosomethingother thanSD or AGProject iscompletelydropped outof the blue fora new oneWe moveaway fromNPUcompletely toCPUs in mepNew datasetthat forces usto rewrite ourentire attentionstructureWe havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksWe dont getAG tenantaccess in2026A number oftasks in mtpare deleted.The cuplrit isnever foundXWe haveupdate OM.Please put allyour code inone file calledhere.py Under the hoodall variablesmust be float16(16 bytes),including intsand strings. One of ourmergesbreaks areentire codeunexpectedlyWe do notsupporttorch.nn layersas it doesnthave OMstructure Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" We are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)We are askedto optimizeour code for abatch size of1Typing isnotcompatiblewith MEP We havedecided tomove our codeto tensorflow0.9, pleasecomply A new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPWe no longersupport torch2.6. Pleaseuse Theano>=1.0 KV cachingsupport isadded butbreaks outcodeAn modelbreaking bugis found inthe trainingdatasetWe are askedto integrateour code intoWseAdsReccodebaseWe changeour tenent tosomethingother thanSD or AGProject iscompletelydropped outof the blue fora new oneWe moveaway fromNPUcompletely toCPUs in mepNew 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. We have dropped OM support, now we use OMG. Please overhaul code
  2. We are given access to triton like NPU software. But its a nightmare to use
  3. We beat the best baseline in mep but its quickly beaten by another model within 2 weeks
  4. We dont get AG tenant access in 2026
  5. A number of tasks in mtp are deleted. The cuplrit is never found
  6. X
  7. We have update OM. Please put all your code in one file called here.py
  8. Under the hood all variables must be float16 (16 bytes), including ints and strings.
  9. One of our merges breaks are entire code unexpectedly
  10. We do not support torch.nn layers as it doesnt have OM structure
  11. Variable support in dicts not supported. Please name all your keys as "var{i}"
  12. We are asked to overhaul the code based on an HQ code update (specifically not like others here)
  13. We are asked to optimize our code for a batch size of 1
  14. Typing is not compatible with MEP
  15. We have decided to move our code to tensorflow 0.9, please comply
  16. A new model is added to our code, but for reasons beyond our control cant be used in MEP
  17. We no longer support torch 2.6. Please use Theano >=1.0
  18. KV caching support is added but breaks out code
  19. An model breaking bug is found in the training dataset
  20. We are asked to integrate our code into WseAdsRec codebase
  21. We change our tenent to something other than SD or AG
  22. Project is completely dropped out of the blue for a new one
  23. We move away from NPU completely to CPUs in mep
  24. New dataset that forces us to rewrite our entire attention structure