• token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
• LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.

A 100B diffusion LLM is now reachable through a hosted API, so its speed claims can be benchmarked against an autoregressive stack without standing up serving infrastructure.

• postAReaL v0.2 releases 7B and 32B reasoning models with their training data
• postChat2Graph puts a multi-agent system on top of a graph database
• postAwex syncs trillion-parameter weights to inference in under six seconds
• postLing-2.6-1T arrives as Ant's agent-focused open flagship

• postLLaDA2.1 brings token editing to diffusion LLMs at 892 tokens per secondAnt Open Source
• postLLaDA2.0 Scales Diffusion Language Models to 100B With Open WeightsAnt Open Source
• postGLM-5.3-Flash lands under MIT at $0.15 per million input tokensZ.ai

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