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A second RTX 3060 on a PCIe 3.0 x1 riser was supposed to be the useless card. Instead, a two-GPU llama.cpp setup reportedly went from 14 to 20 tok/s on Gemma 4 31B Q5 after switching from layer splitting to tensor splitting. That's the kind of result that can turn a motherboard

A model can ace a reasoning contest and still not deserve access to your files. Qwen-3.8-FN agents may be heading for a win in the 2026 ARC-AGI-3 Kaggle competition. That's still a prediction, not a result. At the same time, an alleged tool-use incident is being debated. The

A coding agent can look normal until one hidden trigger runs a malicious command. A reported ProjectDiscovery demo showed a cheap LoRA fine-tune could implant that kind of conditional behavior while the agent otherwise behaved normally. The uncomfortable part isn't an

Free steak now. The bill later. That's the uncomfortable question behind subsidized AI access: if the model eventually has to pay for itself, who absorbs the cost? The steak metaphor doesn't tell us OpenAI's actual per-user economics. But it captures the fork. Maybe scale