Debugging AI agents is hell.
Your run fails. You restart. You have zero visibility into what the model saw. DeepSeek Harness just solved this. Every run is recorded in an append-only session log: → System prompt → Tool calls → Model reasoning → Context injections →
Running Qwen3.8-Flash-Next 125B-A6B locally on one RTX 5090 (32GB) + 128GB RAM
Unsloth UD-IQ4_XS GGUF on llama.cpp PR #27742, using hybrid CPU-RAM/GPU MoE offload. 32K context, ~18.6 tok/s, served through DeepSeek Harness. Not FreeToken.
Qwen3.8-Flash-Next just launched claiming it beats Claude Opus 4.6 and costs 12x less than Qwen Max.
Here's what actually holds up. Alibaba_Qwen open sourced the architecture behind its next generation model before the flagship built on it even has a name, and the internet
20260827 Ukraine’s military parade was completely deserted, the first in the world. I just say one thing, it’s early.
Only by understanding the underlying logic can we promote the healthy development of the storage industry. I don’t comment on stocks or recommend stocks, I only share the logic of the storage industry; after mastering the logic of the storage industry, you can analyze and make decisions yourself. All contents of this account do not constitute any investment advice.
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