“Thinking Machines shared a podcast episode featuring @johnschulman2 and Dwarkesh on where human judgment remains essential as models improve and self-improve—from teaching messy real-world tasks and applying long-term taste to specifying what people actually want.”

#18 𝕏 Thinking Machines shared a podcast episode featuring @johnschulman2 and Dwarkesh on where human judgment remains essential as models improve and self-improve—from teaching messy real-world tasks and applying long-term taste to specifying what people actually want. The conversation also covered RSI, Chinese labs, automated researchers, reinforcement learning, sim-to-real, data, and timelines.

“Thinking Machines shared a guest post by UIUC and Bridgewater researchers, written in collaboration with its team, arguing that upfront expertise and effort in cleaning data and aligning the RLVR reward function resulted in a model described as state-of-the-art on a complex task.”

Thinking Machines shared a guest post by UIUC and Bridgewater researchers, written in collaboration with its team, arguing that upfront expertise and effort in cleaning data and aligning the RLVR reward function resulted in a model described as state-of-the-art on a complex task.

“Thinking Machines announced Tinker grants of up to $50,000 in credits for safety research on open-weight models.”

GenAI PM Daily August 25, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 19 insights for PM Builders, ranked by relevance from Blogs, YouTube, and LinkedIn. GPT-5.6 in Kiro advances developer price-performance #1 📝 OpenAI News Advancing price-performance for developers with GPT‑5.6 in Kiro - Announces availability of GPT‑5.6 in Kiro to improve price-performance for developers, enabling more cost-effective and performant model access for applications. #11 𝕏 Thinking Machines announced Tinker grants of up to $50,000 in credits for safety research on open-weight models.

“Thinking Machines made Inkling available for free on OpenRouter for the next few weeks, starting at the time of the post and limited to agentic harnesses.”

#7 𝕏 Thinking Machines made Inkling available for free on OpenRouter for the next few weeks, starting at the time of the post and limited to agentic harnesses. It plans to use data disassociated from accounts to improve Inkling’s agentic performance.

“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.