One of ourmergesbreaks areentire codeunexpectedlyWe haveupdate OM.Please put allyour code inone file calledhere.py We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useA new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPWe dont getAG tenantaccess in2026Typing isnotcompatiblewith MEP We are askedto integrateour code intoWseAdsReccodebaseWe are askedto optimizeour code for abatch size of1We no longersupport torch2.6. Pleaseuse Theano>=1.0 We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)New datasetthat forces usto rewrite ourentire attentionstructureWe havedecided tomove our codeto tensorflow0.9, pleasecomply An modelbreaking bugis found inthe trainingdatasetUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. Project iscompletelydropped outof the blue fora new oneWe changeour tenent tosomethingother thanSD or AGWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksVariablesupport in dictsnot supported.Please nameall your keys as"var{i}" XKV cachingsupport isadded butbreaks outcodeWe moveaway fromNPUcompletely toCPUs in mepA number oftasks in mtpare deleted.The cuplrit isnever foundWe do notsupporttorch.nn layersas it doesnthave OMstructure One of ourmergesbreaks areentire codeunexpectedlyWe haveupdate OM.Please put allyour code inone file calledhere.py We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useA new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPWe dont getAG tenantaccess in2026Typing isnotcompatiblewith MEP We are askedto integrateour code intoWseAdsReccodebaseWe are askedto optimizeour code for abatch size of1We no longersupport torch2.6. Pleaseuse Theano>=1.0 We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)New datasetthat forces usto rewrite ourentire attentionstructureWe havedecided tomove our codeto tensorflow0.9, pleasecomply An modelbreaking bugis found inthe trainingdatasetUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. Project iscompletelydropped outof the blue fora new oneWe changeour tenent tosomethingother thanSD or AGWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksVariablesupport in dictsnot supported.Please nameall your keys as"var{i}" XKV cachingsupport isadded butbreaks outcodeWe moveaway fromNPUcompletely toCPUs in mepA number oftasks in mtpare deleted.The cuplrit isnever foundWe do notsupporttorch.nn layersas it doesnthave OMstructure 

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