#Thinking Machines Lab
10 articles with this tag
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.