The Who's Who of AI

“Qwen 3.8 27B weights are finally out includes low, med & xhigh reasoning efforts fully multimodal (image and video), seems better than Meta’s Muse Glimmer huggingface.co/Qwen/Qwen3.8...”

“Alibaba's Qwen3.8-27B (open-weight) huggingface.co/Qwen/Qwen3.8...”

“This is entertaining reading. Anthropic's Training a Misaligned Reward Seeker They find that when reward hacking is reinforced during training, the model can pursue rewards by any means available to satisfy a grader. alignment.anthropic.com/2026/reward-...”

“at last, we have trained the misaligned reward hacking model from the cautionary sci-fi tale don’t train the misaligned reward hacking model alignment.anthropic.com/2026/reward-...”

“Is TDD worth it when coding with AI agents? No, TDD is a process that doesn't seem to “come natural” to models. It's like an uphill battle against the training data, and takes a lot of iterations on a prompt to get it to follow the process most of the time.…”

““I think at this point there is generally more and more evidence that being overly specific about how we want a model to do something is not a sustainable approach. Instead, we should find as many ways as we can to monitor the outcomes and give feedback.” m…”