Wired AI
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1 day ago
Thinking Machines Lab, founded by OpenAI exiles including former CTO Mira Murati, released Inkling, an open-weight AI model trained on audio, video, and text inputs. Inkling contains 975 billion parameters and performs comparably to leading Chinese open-weight models while being cheaper to run than closed alternatives. The release positions Thinking Machines as a competitor in the AI market and supports its vision for decentralized AI development outside the control of a few dominant companies.
IEEE Spectrum AI
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1 day ago
South Korean researchers at Seoul National University and Hanyang University developed Generative SNUPI, a generative AI model that designs DNA origami structures by automatically generating DNA sequences that fold into user-requested shapes. The model uses diffusion techniques to determine how DNA strands should be sequenced so molecular forces cause them to self-assemble into forms like dogs, stars, and the Mona Lisa, eliminating the tedious manual design work traditionally required. This capability could accelerate DNA origami applications in drug delivery and immunotherapy by removing a major bottleneck in the design process.
Together AI
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1 day ago
Thinking Machines Lab released Inkling, a 975-billion-parameter mixture-of-experts model with 40B active parameters that accepts text, image, and audio inputs for multimodal reasoning tasks. Inkling is available on Together AI's inference platform starting today with a 1M token context window and adjustable inference effort settings. Developers can now access a unified multimodal model through a single API endpoint that supports reasoning, coding, forecasting, and agentic workflows without managing their own infrastructure.
