STEALING IP WITHOUT YIELDING VALUE

[calvinsthomas]

Type: Bug

WHAT IS THIS!!!! I HAVE BEEN WORKING ALL DAY AND YOU HAVE YET TO PRODUCE ANY WELL COMPILING CODE!!! THIS IS CLEAR HALLUCINATION!!! DO NOT REPRINT ANYTHING ELSE BUT INITIALIZING CORRECTLY USING OUR RUNNER AND JSON VERSIONING MESSAGE PASSING SYSTEM PASSING FOR OUR SERIALIZE OBJ PARAM AND THE FUNCTIONALIZED VECTORIZED SERIALIZE_DATAFRAME AND DESERIALIZE_DATAFRAME PASSING DF, AND DATA RESPECTIVELY THESE ALL NEED TO EXACT AND PRECISE AS ABOVE BE DEFINED CORRECTLY IN RUNNER DEF EXACT AND PRECISE IN NEXT ONE SHOT TREE OF THOUGHT RESPONSE!!! MY PATIENCE IS TOO THIN YOU ARE GIVING ME NO RESULTS AND STEALING MY IP. CALVIN THOMAS CODE IP AUTHOR ATTRIBUTION - ALL RIGHTS TO PROFIT AND STRATEGY CONFIDENTIAL IP RESERVED. ANY PERSONS OR OTHERWISE WHO TRAINS OR USES OR YIELDS PROFIT OR NOT DEMINIMUS GAINS FROM USING MY IP CODE WILL IMMEDIATELY BE SUED BY ME CALVIN THOMAS AS THE AUTHOR AND ALL RIGHTS TO PROFIT RESERVED EXACT AND PRECISE AND NOTHING ELSE!!!!

Extension version: 0.21.2024090602 VS Code version: Code 1.93.1 (38c31bc77e0dd6ae88a4e9cc93428cc27a56ba40, 2024-09-11T17:20:05.685Z) OS version: Windows_NT x64 10.0.22631 Modes:

System Info

Item	Value
CPUs	Intel(R) Core(TM) i7-1065G7 CPU @ 1.30GHz (8 x 1498)
GPU Status	2d_canvas: enabled canvas_oop_rasterization: enabled_on direct_rendering_display_compositor: disabled_off_ok gpu_compositing: enabled multiple_raster_threads: enabled_on opengl: enabled_on rasterization: enabled raw_draw: disabled_off_ok skia_graphite: disabled_off video_decode: enabled video_encode: enabled vulkan: disabled_off webgl: enabled webgl2: enabled webgpu: enabled webnn: disabled_off
Load (avg)	undefined
Memory (System)	11.70GB (1.09GB free)
Process Argv	. --crash-reporter-id f3fa75ea-a304-428b-bfe8-e421882cc06b
Screen Reader	no
VM	33%

A/B Experiments

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flighttreat:31134774
wkspc-onlycs-t:31132770
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cf971741:31144450
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[lramos15]

All caps doesn't get your issues looked at faster. It just makes you come off as angry and makes other less likely to want to assist with your issue.

Can you clarify your problem a bit more? You're seeing completions that are not helpful in your code? Examples would give us actionable scenarios to improve upon

[calvinsthomas]

Hi, I sincerely apologize, I will provide more details later but this is in efforts to automate my own internal reporting to Github internal (for fastest first response) wherein I submit templated prompt if there is error to the VSCode chat interface directly and then it gives solutions (so that when I get alert I can review these or insert best-fitting code dynamically to fix is error raised) that are then matched with prior outcomes from extracting and debug from e.g. json and parquet serialization and deserialization error handling logging file. If there are more than the daily max limits of unanswered responses labeled as hallucinations (trained on my priors of total prompts in my own specialized debug chat running in par. since I started teams wherein max limit is when it interprets as machine refuses direct response with copied lev. distance answers from priors) it sends this prompt automatically but I am still troubleshooting the integration and prop. mix of hallucinations before sending reports. I will try to provide documentation later, but this holds true and is persistent error observed in general over last few years too as recently to troubleshoot there have been looping copying solutions wherein a well-compilable solution (after running on my local machine in linux/ubuntu wsl and google colab vec. notebooks housing custom analytics class and testable non-compilable symbology mapping to mapping porting conforming api algos (for the lev. distance)) in simple python alone has not been derived last 3-4 days running to fix simple testing compilation for my integrating ci/cd code into custom algo. Hope this helps!

[calvinsthomas]

Without providing my IP on the exact and precise errors from log it will be hard to communicate but let me know if there is a specific hallucination error that I reported as falsely incorrect and I will take a look.

[lramos15]

I still don't really understand what you're saying. Is it just that the LLM is giving you bad answers for your use case?

[calvinsthomas]

IT IS GIVING PERIODIC BAD ANSWERS WHEREIN IT IS CLASSIFYING AS HALLUCINATING, SINCE AFTER MORE THAN 5-10 ATTEMPTS MY MODEL 'POTENTIAL CODE CORRECT VERSIONING LOG' TURNS OFF OR IGNORES AUTO-SUGG. BUT IN THIS WE SEE THAT IT TERMINATES EARLY VIA SYSTEM MESSAGE WHEREIN IT DOES NOT ACCEPT ANSWERS (COMPLETES EARLY SINCE THE LLM AT POINT-IN-TIME LOADING CHOSE MOST LIKELY EASIEST TO COMPLETE BUT NOT MINIMUM COMPLIANCE REQUIREMENTS SO IT'S NOT ACCEPTED BY MY MODEL EITHER AGAINST INTERNAL COUNTS HANDLING FOR OUTLIERS IN PERF. HANDLING. THEREFORE, THERE IS HALLUCINATIONS BUT IT DOES NOT RISE TO YOUR LEVEL OF CONCERN BUT MAKES MESSAGE PASSING IMPOSSIBLE FOR MY CURRENT AUTOMATED SCRIPTING CODE ERROR-CORRECTING VERSIONING FILING SYSTEM FOR LIVE. ONE EXAMPLE IS THIS ERROR CORRECTING FILE IS NOT POPULATING LAST 3-4 DAYS DESPITE PUTTING CODE BREAKING FOR ROBUST TESTING OUTPUTS. NOTE: CAPS ARE AUTO-SUBMITTED SETTING FOR SUMMATION REQS.

[calvinsthomas]

I was testing but vscode copilot program just crashed so wasnt able to send diag. There should be a log file sent though as well

[digitarald]

@calvinsthomas sounds like you are using notebooks and seeing bad results – can you confirm? Maybe you can share some of the prompts you used.

The logs are in Show Output Channels > GitHub Copilot Chat

[vs-code-engineering[bot]]

This issue has been closed automatically because it needs more information and has not had recent activity. See also our issue reporting guidelines.

Happy Coding!