資料來源#
是什麼#
一間 AI 研究實驗室（以「Thinking Machines Lab: Connectionism」名義發表）。在本 wiki 中，它首次出現是作為 Interaction Models 背後的組織——一項 2026 年 5 月的 research preview，將即時人機協作重新定義為模型原生能力，而非 harness 層面的問題。
他們發表／主張了什麼（如本站所見）#
- Interaction Models（2026 年 5 月 research preview）——能原生接收音訊／影像／文字，並即時思考、回應、行動的模型。首個模型：TML-Interaction-Small（276B MoE，12B 活躍參數）。
- 立場：互動性應隨智慧一同擴展 → 它必須內建於模型中，援引 The Bitter Lesson 反對基於 harness 的即時系統（VAD、輪次偵測）。
- 工程足跡：將 streaming-sessions 功能上游貢獻至 SGLang；發表了關於消除 LLM 推論中的非確定性的研究（batch-invariant kernels），被引用於 trainer-sampler 對齊；先前發表 On-Policy Distillation。
- 正在進行一項互動性／人機協作基準的研究補助（細節待公布）；interaction model 的有限 research preview 將於「未來幾個月」推出，更廣泛的發布「今年稍後」；更大的模型預計於 2026 年稍後推出。
如何連結#
- 與 Turn-Based Interface Bottleneck 中被批評的實驗室立場不同（「AI 實驗室過度優化自主性」）——隱含地與 Anthropic 和 OpenAI 的 agent 產品（Claude Code、Symphony）所呈現的自主性優先框架對立。
- 他們的「harness 融入模型」立場與 Harness Shrinkage as Models Improve（Anthropic／Claude Code 的觀察）形狀相同——來自不同實驗室的趨同思維。
- 將其模型與 GPT-realtime-2.0 / 1.5（OpenAI）和 Gemini-3.1-flash-live（Google）以及 Qwen 3.5 Omni 進行基準比較——見 Interactivity Benchmarks。
相關連結#
- Interaction Models — 他們的標誌性 research preview
- TML-Interaction-Small — 該模型
- The Bitter Lesson — 他們援引的原則
- Turn-Based Interface Bottleneck — 他們對現狀的批評
- Interactivity Benchmarks — 與 OpenAI / Google / Alibaba 模型的基準比較
- Harness Shrinkage as Models Improve — 來自 Anthropic 的趨同論點
- Anthropic — 同儕實驗室；不同的優先順序（自主性優先 vs. 互動性優先）
- Agent Harness Engineering — 他們的 interaction-models 研究將即時互動層的 harness vs. 模型問題導向模型端解決
資料來源#
Cited by 14
- Inkling×2
Thinking Machines Lab's first from-scratch model release (July 2026), with full weights on Hugging…
- Interaction Models×2
An interaction model is a model that handles interaction natively — continuously taking in audio,…
- TML-Interaction-Small×2
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- Trained Calibration×2
Calibration — expressing the right amount of confidence, including on unsettled questions — treated…
- Agent Harness Engineering
Interaction Models — resolves the harness-vs-model question firmly toward the model for the…
- Opinions on Using AI Tools & the Future of the Software Engineering Role
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How much this should move you: not far, and the reason is worth stating rather than resolving. This…
- Harness Shrinkage as Models Improve
Interaction Models — the same move on the interaction axis: VAD / turn-detection /…
- HTML as the New Markdown
At first glance this contradicts the wiki's running Harness Shrinkage As Models Improve thesis (Cat…
- Interactivity Benchmarks
The evaluation surface Thinking Machines Lab uses to argue Tml Interaction Small is "the first…
- Entities — People, Orgs, Tools & Projects
Thinking Machines Lab — AI research lab behind interaction models (May 2026) and the Inkling…
- The Open-Weight Frontier Gap
A third strategy arrives: customize, don't compete (July 2026). Inkling — TML's 975B/41B-active…
- Turn-Based Interface Bottleneck
Thinking Machines Lab's framing of why current AI interfaces limit collaboration: the turn-based…
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