According to Satya Nadella on Twitter, Microsoft is rolling out a new image model developed by its Superintelligence team into Copilot, with availability coming soon to Foundry for enterprise customers. As reported by Nadella’s post, the model will power image generation inside Copilot, streamlining creative workflows like marketing visuals and product mockups. According to Microsoft’s prior Copilot announcements, integrating first‑party generative models typically expands usage across Office, Edge, and Windows surfaces, suggesting broader distribution for design and content teams. For enterprises, Nadella stated the model is coming to Foundry, which, according to Microsoft documentation, is the company’s managed platform for deploying, evaluating, and governing custom AI models, indicating opportunities for brand‑safe image generation, rights management, and scalable content pipelines. As highlighted by Nadella’s source post, the Superintelligence team’s contribution signals Microsoft’s push to advance multimodal capabilities, positioning the image model for high‑volume, enterprise content production and tighter governance with Foundry’s observability and compliance features.

According to @godofprompt, Meta has released a groundbreaking research paper arguing that the most effective and safest route to achieve superintelligence is not through self-improving AI but through 'co-improvement'—a paradigm where humans and AI collaborate closely on every aspect of AI research. The paper details how this joint system involves humans and AI working together on ideation, benchmarking, experiments, error analysis, alignment, and system design. Table 1 of the paper outlines concrete collaborative activities such as co-designing benchmarks, co-running experiments, and co-developing safety methods. Unlike self-improvement techniques—which risk issues like reward hacking, brittleness, and lack of transparency—co-improvement keeps humans in the reasoning loop, sidestepping known failure modes and enabling both AI and human researchers to enhance each other's capabilities. Meta positions this as a paradigm shift, proposing a model where collective intelligence, not isolated AI autonomy, drives the evolution toward superintelligence. This approach suggests significant business opportunities in developing AI tools and platforms explicitly designed for human-AI research collaboration, potentially redefining the innovation pipeline and AI safety strategies (Source: @godofprompt on Twitter, referencing Meta's research paper).