Thinking Machines Lab Releases Inkling: A 975B-Parameter Open-Weights Multimodal MoE With 41B Active Parameters And Controllable Thinking Effort

Thinking Machines Lab just released Inkling, their first model trained from scratch, weights are open, fine-tunable on Tinker. The lab pitches it as a base for customization. What is Inkling? Inkling is a Mixture-of-Experts transformer with 975B total parameters and 41B active. It supports a context window of up to 1M tokens. Pretraining covered 45…

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Patter SDK Guide to Building a Restaurant Booking Phone Agent with Dynamic Variables, Guardrails, Latency Dashboards, and Eval Checks

In this tutorial, we explore the Patter SDK by building a voice-agent workflow that simulates how an AI phone assistant behaves during real conversations. We work with a restaurant booking use case in which we define dynamic caller variables, register callable tools, apply output guardrails, simulate speech-to-text and text-to-speech behavior, and run a complete scripted…

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Applied Computing wants to give oil and gas operators an AI model for the entire plant

Applied Computing, a London-based startup that’s building a foundation AI model for the oil, gas and petrochemical industry, has raised a $20 million Series A led by engineering giant KBR, with Databricks Ventures participating. Founded in 2023, the startup targets oil, gas, refining and petrochemical systems, where a single facility can have thousands of sensors…

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