@MaziyarPanahi: I played Thinking Machines' new Inkling a 2-minute doctor's visit, on my Mac Studio The patient came in about her knee.…
Summary
Thinking Machines' Inkling, a 975B parameter model running locally on a Mac Studio via llama.cpp, listened to a doctor's visit audio and accurately diagnosed heart failure from subtle cues in small talk, demonstrating advanced medical reasoning without leaving the machine.
View Cached Full Text
Cached at: 07/17/26, 12:24 AM
I played Thinking Machines’ new Inkling a 2-minute doctor’s visit, on my Mac Studio
The patient came in about her knee. Inkling listened to the whole thing and flagged the heart failure instead.
It heard the real audio, not a transcript. 975B params, the 1-bit GGUF (@UnslothAI), running on llama.cpp (@huggingface). Nothing left the machine.
The knee was the easy part. Buried in the small talk: out of puff on the hill, sleeping on four pillows, ankles like balloons, and she’d quietly stopped her water tablet in spring. Five signals, one diagnosis, none of it why she booked.
Her last line: “Should I have said something? It’s only the knee I came about.”
A 975B model just did the hardest thing in medicine: it listened to what the patient didn’t think was worth mentioning.
What should it hear next?
Similar Articles
Welcome Inkling by Thinking Machines
Inkling by Thinking Machines is a large open multimodal LLM with ~1T parameters, 1M context, and native support for image, audio, and text. It uses a Mixture-of-Experts architecture and is available on Hugging Face with day-0 inference support.
thinkingmachines/Inkling
Inkling is a large open-weights multimodal model (975B total, 41B active parameters) using a sparse MoE architecture, accepting text, image, and audio inputs and generating text outputs, intended for agentic systems, coding assistants, and chatbots.
@LiorOnAI: New model from Thinking Machines: - Full weights available - Native text, image, and audio reasoning - 975B total param…
Thinking Machines releases Inkling, an MoE model with 975B total / 41B active parameters, supporting native text, image, and audio reasoning, up to 1M-token context, and full weights availability.
The Benchmarks of Thinking Machine's first open-source model Inkling
Thinking Machine has released its first open-source model, Inkling, alongside benchmark results demonstrating its performance.
Thinking Machines Lab Drops Its First Model
Thinking Machines Lab, founded by ex-OpenAI executives, releases its first open-weight AI model, Inkling, a 975-billion-parameter model capable of reasoning, coding, and processing audio, video, and text.