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Global long-term bond yields are rising sharply while equity markets remain heavily priced, increasing valuation pressure on AI and other growth companies. The article argues that surging AI infrastructure spending must now prove it can generate sufficient revenue, profit, and cash flow to justify elevated valuations.
The post argues that Qwen3.8 intermediate tokens should not be interpreted as human-like reasoning. Citing research, it highlights that trace validity often does not correlate with answer correctness, and that models trained on corrupted or irrelevant traces can perform as well as or better than models trained on valid traces.
QwenMix-3.7 is an experimental merge of the Qwen3.8-27B and Qwen3.6-27B models. The creator reports that it passed a basic smoke test, but no meaningful evaluation has been performed yet.
A wildfire in Germany’s Hürtgen Forest, intensified by unexploded World War II munitions, forced nearly 2,000 residents to evacuate. The report suggests unmanned tanks could help firefighters operate more safely in areas threatened by detonations.
A practitioner reports that fine-tuning Gemma 4 26B A4B on 100,000 court decisions failed to outperform a prompted base model for generating legal principles. The discussion explores whether the bottleneck lies in data quality, evaluation design, task complexity, or the fine-tuning workflow.
Avec added an AI feature that scans emails for deadlines when users swipe left. The app then resurfaces the message on the relevant day, although the company has not disclosed where the scanning occurs.