“Thinking Machines assesses its Inkling model and proposes a staged rollout of model access to strike the right balance between safety and openness.”

#18 𝕏 Thinking Machines assesses its Inkling model and proposes a staged rollout of model access to strike the right balance between safety and openness.

“Thinking Machines released Inkling-Small, a 276B-parameter (12B active) model matching Inkling’s performance at one-quarter the size. They’re open-sourcing the full weights for fine-tuning on Tinker or chatting via Tinker Playground in text, image, and audio.”

#4 𝕏 Thinking Machines released Inkling-Small, a 276B-parameter (12B active) model matching Inkling’s performance at one-quarter the size. They’re open-sourcing the full weights for fine-tuning on Tinker or chatting via Tinker Playground in text, image, and audio. Also covered by: @Mira Murati #5 𝕏 Cursor unveils their cloud agent environment, detailing the infrastructure, orchestration, and tooling setup they use to deploy and manage autonomous agents at scale.

“Madhu Guru says Thinking Machines’ open weight models are promising but require skilled professionals to adapt them for specific use cases.”

GenAI PM Daily July 26, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 18 insights for PM Builders, ranked by relevance from X, Blogs, and LinkedIn. Perplexity unveils CLI for live web data #1 𝕏 OpenAI calls the Hugging Face incident an unprecedented AI safety event and is reviewing it with external advisors and its Safety and Security Committee. It will publish a technical report of findings in the coming weeks. #2 𝕏 Demis Hassabis reports that Gemma 4 models have been downloaded over 300 million times, driving the total Gemma open model series downloads past 900 million. #3 𝕏 Sundar Pichai celebrates Google’s commitment to open source, highlighting that they’ve long contributed and released open-weight AI models via the Gemma platform from Google DeepMind and Demis Hassabis. #10 𝕏 Madhu Guru says Thinking Machines’ open weight models are promising but require skilled professionals to adapt them for specific use cases. He sees a huge opportunity in filling this customization gap.

“The video explains Inkling, a 970 billion-parameter mixture-of-experts model by Thinking Machines that routes each token to 41 billion active parameters, processes raw audio and pixels directly, supports a 1 million-token context window, and is Apache licensed on Hugging Face.”

This entry summarizes a video about a newly shipped model from Thinking Machines.

“Thinking Machines launched Inkling, a multi-modal AI that reasons across text, images, and audio. They’ve released the full model weights for fine-tuning on Tinker and experimentation in the Inkling Playground.”

#24 𝕏 Thinking Machines launched Inkling, a multi-modal AI that reasons across text, images, and audio. They’ve released the full model weights for fine-tuning on Tinker and experimentation in the Inkling Playground. Also covered by: @Mira Murati , @Thinking Machines #25 𝕏 Cognition launched Devin in Slack, letting teams investigate issues, answer codebase questions, and kick off dev tasks without leaving the channel.

“Mira Murati launched Thinking Machines’ first interactive AI platform to advance human–AI collaboration.”

#25 𝕏 Mira Murati launched Thinking Machines’ first interactive AI platform to advance human–AI collaboration. She argues interactivity must be built into models and scale with their intelligence, not just serve as scaffolding around autonomous cores.

“Thinking Machines published a technical report on “Interaction Models,” detailing their modular agent framework—combining persistent memory, retrieval-augmented generation, and reactive planning—and shared early evaluation results demonstrating marked improvements in long-con...”

#11 𝕏 Thinking Machines published a technical report on “Interaction Models,” detailing their modular agent framework—combining persistent memory, retrieval-augmented generation, and reactive planning—and shared early evaluation results demonstrating marked improvements in long-con... #12 📝 Simon Willison You Need AI That Reduces Maintenance Costs - James Shore argues that AI coding agents must substantially reduce maintenance costs proportional to the productivity gains they provide, otherwise increased output will multiply long-term maintenance burden.

“#5 𝕏 NVIDIA AI partners with @thinkymachines to deploy at least 1 gigawatt of Vera Rubin systems for frontier AI model training.”

The newsletter notes a large-scale deployment partnership between NVIDIA and Thinking Machines for frontier AI training. The emphasis is on compute capacity rather than end-user features.

“Thinking Machines CTO change: Mira Murati @miramurati announced Barret Zoph’s departure and named Soumith Chintala as the new CTO of Thinking Machines .”

AI Industry Developments & News Meta alum joins Airbnb: Sam Altman @sama congratulated Ahmad on joining Airbnb , highlighting the potential of AI in travel and experiences. Thinking Machines CTO change: Mira Murati @miramurati announced Barret Zoph’s departure and named Soumith Chintala as the new CTO of Thinking Machines . GPT 5.2 coding feat: Kevin Weil @kevinweil reported that GPT 5.2 ran for one week straight and generated 3 million lines of code , showcasing its endurance.