We havedecided tomove our codeto tensorflow0.9, pleasecomply KV cachingsupport isadded butbreaks outcodeXWe are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe dont getAG tenantaccess in2026We beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksWe no longersupport torch2.6. Pleaseuse Theano>=1.0 We are askedto integrateour code intoWseAdsReccodebaseNew datasetthat forces usto rewrite ourentire attentionstructureWe changeour tenent tosomethingother thanSD or AGUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. Typing isnotcompatiblewith MEP 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)We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We do notsupporttorch.nn layersas it doesnthave OMstructure A number oftasks in mtpare deleted.The cuplrit isnever foundVariablesupport in dictsnot supported.Please nameall your keys as"var{i}" Project iscompletelydropped outof the blue fora new oneWe are askedto optimizeour code for abatch size of1An modelbreaking bugis found inthe trainingdatasetOne of ourmergesbreaks areentire codeunexpectedlyWe haveupdate OM.Please put allyour code inone file calledhere.py We moveaway fromNPUcompletely toCPUs in mepWe havedecided tomove our codeto tensorflow0.9, pleasecomply KV cachingsupport isadded butbreaks outcodeXWe are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe dont getAG tenantaccess in2026We beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksWe no longersupport torch2.6. Pleaseuse Theano>=1.0 We are askedto integrateour code intoWseAdsReccodebaseNew datasetthat forces usto rewrite ourentire attentionstructureWe changeour tenent tosomethingother thanSD or AGUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. Typing isnotcompatiblewith MEP 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)We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We do notsupporttorch.nn layersas it doesnthave OMstructure A number oftasks in mtpare deleted.The cuplrit isnever foundVariablesupport in dictsnot supported.Please nameall your keys as"var{i}" Project iscompletelydropped outof the blue fora new oneWe are askedto optimizeour code for abatch size of1An modelbreaking bugis found inthe trainingdatasetOne of ourmergesbreaks areentire codeunexpectedlyWe haveupdate OM.Please put allyour code inone file calledhere.py We moveaway fromNPUcompletely toCPUs in mep

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