What is drawing attention
These subjects emerged from a review of recent reporting and primary announcements. Inclusion reflects observed news attention and relevance to building AI models. It is not a measured ranking of search demand, audience size, or market share.
Haiku 5.5 makes small models more capable—and their handoffs more consequential
Anthropic’s October release brings adjustable reasoning to its low-cost model tier. The business question is what work can be delegated without losing the evidence that matters.
Basis for selection: Selected for model-building relevance and primary evidence; not a ranking of popularity or company size.
Datology puts the training budget inside the dataset
An October launch makes a consequential claim: companies may need better-selected tokens before they need a bigger model.
Basis for selection: Selected for model-building relevance and primary evidence; not a ranking of popularity or company size.
Mistral’s training recipe makes the curriculum a moving target
Reinforcement learning must keep challenging a model as it improves. The engineering problem is producing useful attempts, trustworthy rewards and a curriculum that does not stand still.
Basis for selection: Selected for model-building relevance and primary evidence; not a ranking of popularity or company size.
vLLM’s split serving stack makes predictable inference the real prize
Separating prompt processing from generation changes the capacity question: how much work can finish within a useful deadline?
Basis for selection: Selected for model-building relevance and primary evidence; not a ranking of popularity or company size.
Harvey’s new AI test shows why completing the checklist is not enough
Artificial Analysis adds a hallucination gate to its legal-agent benchmark. The change exposes a model-development problem: covering every requested point and grounding every claim are different skills.
Basis for selection: Selected for model-building relevance and primary evidence; not a ranking of popularity or company size.