Observed Signal · Aug 27, 2026 · Market Signal · Source: Thinking Machines Lab · Impact: 3.5/5
Putting Task Expertise into RL Achieves State-of-the-Art Performance on Text-to-SQL
Thinking Machines Lab announced two new updates: a research breakthrough in RL for text-to-SQL and new safety research grants.
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Meta Debuts Brain2Qwerty v2; Multiple AI infra Releases
A roundup of AI research and product updates published June 30, 2026. Major items include Meta’s release of Brain2Qwerty v2 (a non‑invasive brain-to-text sentence decoder) with accompanying training code and a v1 dataset; Cursor’s launch of an iOS client with always-on cloud agents and remote control of desktop agents; commercialization moves making open model weights more accessible via subscription passes and hybrid-model harnesses; Arena reporting a $100M ARR run rate eight months after launching its evaluation product; and infrastructure-focused releases and guides (DeepSeek’s DSpark speculative decoding, NVIDIA/vLLM multi-node serving, Snowflake’s Arctic RL acceleration). The newsletter highlights trends in agent harness engineering, speculative decoding, Chinese large-model scale efforts, and continuing pressure on inference and data-center infrastructure.
Thinking Machines Unveils Real‑Time Interaction Models
Thinking Machines Lab (Thinky), the startup founded by former OpenAI CTO Mira Murati, published a research preview of new “Interaction Models” designed for real‑time, human‑like collaboration across audio, video and text. The models use a micro‑turn architecture that processes input in ~200ms chunks and support full‑duplex simultaneous speech and listening. The company highlighted TML‑Interaction‑Small, a 276‑billion‑parameter mixture‑of‑experts model that it says responds in ~0.40 seconds and can interleave listening, tool calls (search, browsing) and UI generation. Thinking Machines raised a headline $2 billion early funding round (reported as seed/early‑stage) and lists investors and partners including Andreessen Horowitz, NVIDIA, AMD, Cisco, Jane Street and Sequoia Capital; NVIDIA also announced a 2026 partnership to deploy one gigawatt of computing capacity. The lab plans a limited research preview in coming months with a wider release later in 2026.
Thinking Machines builds AI that listens while it talks
Thinking Machines Labs, founded by former OpenAI CTO Mira Murati, has published a technical preview describing an "interaction model" designed for full‑duplex, real‑time multimodal conversation. The model targets subsecond latency (about 0.4 seconds) so it can respond while a person is still speaking — including interrupting to correct errors, provide proactive answers, or perform simultaneous translation — and supports continuing conversation while working on background tasks. Company demos show these capabilities but the model is not yet public; Thinking Machines plans a limited research preview for testers in the coming months. Related technical disclosures (research preview) describe TML‑Interaction‑Small (a mixture‑of‑experts architecture) and benchmark wins on audio/vision timing evaluations, indicating the work is positioned as a research/technical preview rather than a commercial product.
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