#Thinking Machines Lab
14 articles with this tag
Inkling Model Lands on Databricks
Thinking Machines Lab's Inkling model is now accessible on Databricks via Unity AI Gateway, enhancing enterprise AI development for coding and agentic tasks.
Together AI adds Inkling multimodal model
Together AI integrates Inkling, a new multimodal AI model from Thinking Machines Lab, offering text, image, and audio processing with controllable reasoning.
Mira Murati's Interaction Model: Full-Duplex AI at 0.4 Seconds
Thinking Machines Lab's TML-Interaction-Small processes audio and video in 200ms chunks, responds in 0.4 seconds, and runs full-duplex without a VAD harness. Here is how the architecture works and what Murati said at Bloomberg Tech.
Mira Murati’s Thinking Machines: $2B Raised, $50B Stalled, Shipping
Thinking Machines Lab raised $2 billion at a $12 billion seed valuation in July 2025, then sought $50 billion from investors four months later before backers passed. Here is the full financial arc: valuation milestones, Nvidia and Google infrastructure deals, and two shipped products through June 2026.
AI's Next Leap: Interaction Models
Thinking Machines Lab introduces 'interaction models' for AI, enabling real-time, multimodal collaboration that mirrors human conversation.
Architectural Interactivity, Linguistic Interpretability, and Molecular Synthesis: The Frontier of Native AI
Three organisations now define the frontier of native AI: Thinking Machines is rebuilding human-AI collaboration as a low-latency interaction model, the Effable movement wants interpretable safety frameworks like SafetyAnalyst, and Isomorphic Labs is converting AlphaFold into an end-to-end drug design engine. The common thread is moving from AI as a layer of abstraction toward AI as a fundamental component of human and biological systems.
Thinking Machines Lab Wants to Replace OpenAI Realtime With a Model That Listens While It Speaks
Mira Murati's lab published its first technical paper, arguing that real-time interactivity should be a native model capability rather than scaffolding bolted around turn-based language models, and it ships benchmarks where GPT Realtime-2 scores near zero.
Thinking Machines, NVIDIA Forge Gigawatt AI Pact
Thinking Machines Lab and NVIDIA announce a gigawatt-scale partnership for AI training, including a significant investment from NVIDIA.
Tinker launches OpenAI API compatibility, challenging vendor lock-in.
Tinker Call for Projects: Thinking Machines Lab Seeks ML Innovators
On-Policy Distillation LLMs Redefine Post-Training Efficiency
Solving LLM Nondeterminism: A Breakthrough for Reproducible AI
The Real Reason for LLM Inference Nondeterminism
The true cause of LLM inference nondeterminism is not random GPU math, but a systemic failure of "batch invariance" tied to unpredictable server load.