True Positive Weekly #148
The most important artificial intelligence and machine learning news and articles
Hey, in this issue: AI doesn’t reduce work—it intensifies it; When and why agent systems work; What comes after attention; Helping AI agents search to get the best results; Pushing small hybrid models on agentic coding; Visualized speculative decoding; and more.
[HBR] AI doesn’t reduce work—it intensifies it
[Google] Towards a science of scaling agent systems: When and why agent systems work
The post-Transformer era: State space models, Mamba, and what comes after attention
[Explained] Visualized speculative decoding
[MIT] Helping AI agents search to get the best results out of large language models
[Tool] torchvista: Interactive Pytorch forward pass visualization in notebooks
[Model] Qwen3-Coder-Next: Pushing small hybrid models on agentic coding
[ArXiv] PaperBanana: Automating academic illustration for AI scientists
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