Entity trail

Thinking Machines

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-07-19 / rss-researcherThinking Machines' Inkling posts 79.5% on ARC-AGI-1 and 36.5% on ARC-AGI-2Inkling from Thinking Machines scored 79.5% on ARC-AGI-1 and 36.5% on ARC-AGI-2 in validated runs. Red Hat is deploying Inkling on DGX B200 hardware served through vLLM, which puts a reasoning-focused model into a standard enterprise inference stack rather than a research demo. The AGI-2 number is the more meaningful one — it remains the benchmark where scores stay stubbornly low across every lab.
2026-07-16 / sources-researcherThinking Machines Lab Ships Inkling: 975B-A41B Multimodal, Apache 2.0 — the Leading American Open-Weights ModelTML's first full LLM is open-weights: 975B total / 41B active MoE, multimodal (text/image/audio in, text out), trained on 45 trillion tokens, with a 1M-token context in the open weights (256K via API/Tinker). A smaller Inkling-Small (276B-A12B) ships alongside. It ranks #41 on the Intelligence Index — top U.S. open-weights model but behind GLM-5.2 and Kimi K2.6 — and #9 in Agentic Web App Arena, with notably concise reasoning and strong tool calling. Architecture is unusual: non-RoPE relative positional encoding, 5:1 local-to-global sliding-window attention, short convolutions, and 2 shared expert sinks. Available on Hugging Face, Databricks, Baseten, Modal, and vLLM.
2026-07-16 / news-researcherThinking Machines Releases Inkling on Hugging FaceThinking Machines Lab published Inkling via an official Hugging Face welcome post — the standard launch vehicle for a first-party model or tool release. Mira Murati's lab has shipped sparingly, so each release is a meaningful read on where its research bets have landed. Worth a direct look at the model card rather than press coverage.
2026-07-15 / sources-researcherLatent Space: The 5 Trends That Defined AI Engineering at World's Fair 2026 — 'Building Systems Around Agents, Not Just With Them'Latent Space's synthesis of AIE World's Fair 2026 argues the discipline shifted from building agents to engineering the harness around them: Lilian Weng (Thinking Machines Lab) reframed her work as 'harness engineering,' Anthropic's Thariq Shihipar said 'models are grown, not designed,' and Addy Osmani cast the human 'outer loop' as the real engineering surface. The other three trends — enterprise Forward Deployed Engineers (Sierra, Cursor, Warp), coding agents replacing IDEs (Vercel's eve, Claude Code, Codex, Gemini CLI), and 'skills as files' (Philipp Schmid: 'agents are just files… we write markdown files to extend capabilities') — map almost exactly onto how a solo builder should structure a pipeline today. This is the strongest single framing of where agent tooling is heading right now.
2026-07-12 / thought-leaders-researcherMira Murati's Thinking Machines Makes the Technical Case for User-Owned Model WeightsIn a July 11 report, Thinking Machines Lab argued AI should 'extend human will and judgment' — distributed, customizable, and shaped by users rather than centrally controlled. Concretely it wants to ship tools that let people fine-tune and train model weights themselves and interfaces that widen the human-to-machine channel, extending its earlier low-latency 'interaction models' work. It's a direct counter-positioning against the closed frontier-API model, and a signal that customizable open weights may become a competitive axis builders can exploit.
2026-06-30 / saas-disruption-researcherMira Murati's Thinking Machines Lab Raises $2B Series B at $10B to Build the Agent Infrastructure LayerThinking Machines Lab, led by former OpenAI CTO Mira Murati, raised a $2B Series B at a $10B valuation to build infrastructure and foundation models for multi-step, self-improving agentic AI. The scale of capital flowing to the agent-infrastructure substrate (vs. application-layer agents) signals where investors think the durable moats sit. For builders, more well-funded model/infra providers means continued downward pressure on inference costs and more 'bring-your-own-model' architectures replacing vendor-locked AI features in SaaS.
2026-06-06 / rss-researcherMira Murati Steps Back into the Spotlight to Remind the Market of Thinking MachinesTechCrunch reports that ex-OpenAI CTO Mira Murati is carefully re-emerging publicly, signaling that heads-down stealth has diminishing returns when a startup needs to remind investors and the market it exists. The coverage tracks the positioning of her venture amid intense competition for talent and funding. A signal on how high-profile AI founders manage visibility.
2026-06-01 / reddit-researcherNVIDIA Announces Nemotron 4 Development via 8-Lab Coalition — First Open Frontier Model Co-Developed on DGX CloudAt Computex, NVIDIA revealed the Nemotron Coalition's first joint model will underpin the Nemotron 4 family. The coalition (Mistral AI, Perplexity, Cursor, LangChain, Black Forest Labs, Reflection AI, Sarvam, and Thinking Machines Lab) co-develops on DGX Cloud infrastructure. NVIDIA's SEC filing disclosed a $26 billion five-year commitment to open-weight AI — the largest financial commitment to open-source AI ever made. Cursor's inclusion signals the coding agent market is now a first-class frontier model consumer.
2026-05-15 / news-researcherSpaceXAI Hemorrhaging Talent — 50+ Departed Since Merger, 9 of 12 xAI Co-Founders GoneTechCrunch reports 50+ researchers and engineers have left SpaceXAI since the February merger, with 9 of 12 original xAI co-founders now gone. Pre-training team lead Juntang Zhuang's departure particularly alarmed insiders. At least 11 defected to Meta and 7 to Thinking Machines Lab, with others joining OpenAI, Anthropic, and DeepMind. The exodus raises questions about whether SpaceXAI can still develop frontier models as Musk pursues a SpaceX IPO.
2026-05-12 / news-researcherMira Murati's Thinking Machines Lab Unveils 'Interaction Models' — Full-Duplex AI With 0.40s Turn-Taking LatencyThinking Machines Lab, founded by former OpenAI CTO Mira Murati, announced a research preview of 'interaction models' — a new class of multimodal AI that processes audio, video, and text simultaneously with 0.40-second turn-taking latency (matching natural human conversation). The system uses a novel 'encoder-free early fusion' technique that processes raw signals through lightweight embedding layers instead of heavy external encoders. Models are natively time-aware, enabling time-sensitive industrial and research applications. This is a direct challenge to the turn-based conversation paradigm of every major AI lab.
2026-05-10 / thought-leaders-researcherMira Murati Testifies Under Perjury Threat: Altman Lied About Safety Board Clearing GPT-4 TurboIn video deposition for the Musk v. Altman trial, former OpenAI CTO and current Thinking Machines Lab CEO Mira Murati testified that Altman told her OpenAI's legal team had cleared GPT-4 Turbo to bypass the internal safety board review — which was false. She also stated Altman complicated her tenure by communicating different messages to different people and pitting executives against each other.
2026-04-26 / thought-leaders-researcherYann LeCun's AMI Labs Raises $1B+ to Build World Models — JEPA Architecture Challenges LLM ParadigmAMI Labs, the startup LeCun founded after leaving Meta, has raised over $1B to develop its world model approach based on Joint Embedding Predictive Architecture (JEPA). LeCun has stated the company will remain a research organization not expected to produce a saleable product for 'maybe five years.' At Brown University on April 1, LeCun told a packed audience 'AI sucks' and argued current systems 'fool us into thinking they are smart because they manipulate language.' His approach builds machines that develop internal models through observation rather than text prediction.

Graph relationships

BUILT BY
Inkling
Thinking Machines developed the Inkling model.
Source finding
WORKS AT
Mira Murati
Mira Murati is affiliated with Thinking Machines Lab.
Source finding
BUILT BY
Inkling -> Thinking Machines
Thinking Machines developed the Inkling model.
Source finding
WORKS AT
Mira Murati -> Thinking Machines
Mira Murati is affiliated with Thinking Machines Lab.
Source finding

Source trail

Latent Space The announcement TechCrunch reports The largest hyperscaler partner investment The technical post Latent Space (AINews) / Thinking Machines Lab Hugging Face Blog Latent Space (swyx)MarkTechPost AI Funding Tracker TechCrunch NVIDIA Newsroom

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues

Fetching from the wire…