This PR adds split_lock_detect to the preserved_arguments list in anaconda.conf.
Currently, on recent kernels, if an x86 split lock is detected, it can cause the kernel to crash (#AC: crashing the ...
Silver lining is that the company refuses to pay for more than included GitHub copilot tokens. They are currently in denial and saying folks can just use the cheap models to build management’s dream of “native agentic workflows”, but I fully expect them to have to face the reality that people will get fancy tab completion and the occasional prompt and that’s it. I can deal with that volume.
But still after each model release I go to use it and save examples of it falling on its face. Because each time a new model launches management is convinced that the llms don’t make mistakes anymore. If they just said it is getting better that would be one thing, but they are always convinced that new LLM was when all the issues were fixed.
Working on open source has been tougher, since other people have blown budget on making harder to understand bug reports and pull requests.
I’m with you, but so so far away from retiring.
Silver lining is that the company refuses to pay for more than included GitHub copilot tokens. They are currently in denial and saying folks can just use the cheap models to build management’s dream of “native agentic workflows”, but I fully expect them to have to face the reality that people will get fancy tab completion and the occasional prompt and that’s it. I can deal with that volume.
But still after each model release I go to use it and save examples of it falling on its face. Because each time a new model launches management is convinced that the llms don’t make mistakes anymore. If they just said it is getting better that would be one thing, but they are always convinced that new LLM was when all the issues were fixed.
Working on open source has been tougher, since other people have blown budget on making harder to understand bug reports and pull requests.