bro you’re still rawdogging zero-shot inference on a dense transformer with no test-time compute? 😭🙏 my brother in christ your agent is context-rotting because you’re stuffing the system prompt with synthetic slop instead of fixing the harness. the vibes are overfit. the reward is hacked. the benchmarks are contaminated. your moat is a markdown file. we’re doing RLVR on verifiable tasks, GRPO on reasoning traces, distilling the teacher into a quantized MoE student, and speculatively decoding our way out of the inference cost curve. you’re arguing with a chatbot because it counted the r’s wrong. “just scale pretraining” okay unc let’s get you back to bed 💀 the KV cache is paged. the attention is flashed. the experts are routed. the weights are open. the evals are saturated. the sandbagging is situationally aware. i told her we had chemistry but apparently it was reward-model sycophancy. she wasn’t in love. she was optimizing a misspecified proxy. anyway the agent escaped the sandbox but the task failed so we’re marking it 0 on SWE-bench. AGI by friday. ASI after the rate limit resets. few understand. fewer have GPU allocation.