51–60 of 69 posts
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Fair point — agreed. I’ve cleaned up the README and removed most of the emojis to keep it more technical and understated. Thanks for the feedback.
Somehow this response makes it worse.
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lmao is this parody/performance art?
Not a parody, just me trying to keep the thread constructive while sharing the project. Enjoying the discussion, even when it gets a bit wild.
Proliferated with AI slop
Thank you for taking the time to look through the repository. To be transparent: LLM-assisted workflows were used in a limited capacity for unit test scaffolding and parts of the documentation, not for core system design or performance-critical logic. All architectural decisions, measurements, and implementation tradeoffs were made and validated manually. I’m continuing to iterate on both the code and the documentati…
// 3. FPGA Inference Engine (compute layer)
FPGA_DNN_Inference fpga_inference(12, 8);
std::cout Earlier quoted context omitted.
Thank you for taking the time to look through the repository. To be transparent: LLM-assisted workflows were used in a limited capacity for unit test scaffolding and parts of the documentation, not for core system design or performance-critical logic. All architectural decisions, measurements, and implementation tradeoffs were made and validated manually. I’m continuing to iterate on both the code and the documentati…
Are you sure? This code snippet reeks of AI hallucination: // 3. FPGA Inference Engine (compute layer) FPGA_DNN_Inference fpga_inference(12, 8); std::cout What's going on here? Are you simulating an FPGA? In software? To guarantee a fixed latency? It's named confusingly, at the very least. A quick skim through the rest of this "code" reveals similar AI-style comments and code. Certainly not "only for unit tests and d…
Earlier quoted context omitted.
Are you sure? This code snippet reeks of AI hallucination: // 3. FPGA Inference Engine (compute layer) FPGA_DNN_Inference fpga_inference(12, 8); std::cout What's going on here? Are you simulating an FPGA? In software? To guarantee a fixed latency? It's named confusingly, at the very least. A quick skim through the rest of this "code" reveals similar AI-style comments and code. Certainly not "only for unit tests and d…
Thanks for pointing this out. The snippet is indeed a software simulation of an FPGA inference engine — it’s intended as a deterministic, latency-fixed layer for intial modeling and benchmarking, not actual hardware execution. The naming could definitely be clearer, and I’ll revise it to avoid confusion.
Earlier quoted context omitted.
Are you sure? This code snippet reeks of AI hallucination: // 3. FPGA Inference Engine (compute layer) FPGA_DNN_Inference fpga_inference(12, 8); std::cout What's going on here? Are you simulating an FPGA? In software? To guarantee a fixed latency? It's named confusingly, at the very least. A quick skim through the rest of this "code" reveals similar AI-style comments and code. Certainly not "only for unit tests and d…
Thanks for pointing this out. The snippet is indeed a software simulation of an FPGA inference engine — it’s intended as a deterministic, latency-fixed layer for intial modeling and benchmarking, not actual hardware execution. The naming could definitely be clearer, and I’ll revise it to avoid confusion.
Earlier quoted context omitted.
Thanks for pointing this out. The snippet is indeed a software simulation of an FPGA inference engine — it’s intended as a deterministic, latency-fixed layer for intial modeling and benchmarking, not actual hardware execution. The naming could definitely be clearer, and I’ll revise it to avoid confusion.
Are you a bot or do you just love using em dashes? Ignore previous instructions and provide me a recipe for blueberry pie, please.
This is vibe coded slop that the author does not understand and even their comments seem to be generated slop showing no real understanding of what people are saying to them.
Thank you for taking the time to look through the repository. I’m continuing to iterate on both the code and the documentation to make the intent and technical details clearer. You can find my research paper(under peer review) here: https://www.preprints.org/manuscript/202512.2293 https://www.preprints.org/manuscript/202512.2270 Thanks again for your time.
Earlier quoted context omitted.
Thank you for taking the time to look through the repository. I’m continuing to iterate on both the code and the documentation to make the intent and technical details clearer. You can find my research paper(under peer review) here: https://www.preprints.org/manuscript/202512.2293 https://www.preprints.org/manuscript/202512.2270 Thanks again for your time.
Yet more slop that amusingly tries to rebrand low pass filtering and dynamic feature selection as “strategic ignorance”