Deployment
3 items across 2 editions. First seen Wed 21 Oct, last seen Fri 23 Oct.
- An implementation study posted to medRxiv on 22 October ran from January to May 2026 in the neurology department at two clinical sites in a regional medical system, where a single AI tool auto-categorised and auto-routed every patient message in the electronic In-Basket and generated optional draft replies. 24,142 messages were analysed.
- Pre-intervention median weekly time to first action was "11.3 hours [IQR: 5.6, 15.1] (Site A)" and "16.1 hours [IQR: 13.8, 19.0] (Site B)", "falling post-intervention to 1.0 hour [IQR: 0, 3.1] (Site A)" and "0.6 hours [IQR: 0.2, 2.4] (Site B)".
- A controlled interrupted time-series analysis against message-volume-matched control divisions found "a significant immediate differential level change in median weekly hours to first action at Site A (−92.5%, 95% CI: −97.5% to −78.0%)" and "a significant downward trend at Site B (−43.5%, 95% CI: −65.2% to −8.2%)".
- The gain came from routing, not from drafting: "There was low use of the generated draft replies, only 0.5% at Site A and 3% at Site B." The authors also report that "Changes in time to closure were directionally favorable but not statistically significant at either site" — messages were picked up far sooner but not demonstrably resolved sooner. A preprint, not peer reviewed, covering two sites in one department.
- Uber and OpenAI announced an expanded partnership on Thursday, with Uber telling TechCrunch that its entire global workforce — some 30,000 people — will now be using ChatGPT Work, scaled up from a pilot of 1,000 employees earlier this year. ChatGPT Work was introduced in July as an enterprise-focused AI agent.
- Sumanth Sukumar, Uber's VP of engineering, said 80% of the early adopters were non-engineers, drawn from finance, operations and product among other departments, and that they used it for "analyzing complex data from our operations to identify trends and develop recommendations; localizing training materials for different markets and languages; and building personalized interactive dashboards to manage their daily work".
- Sukumar said Uber has not settled on how employees will use it: "Our approach is to make powerful AI tools available across Uber while giving teams room to experiment." He cited an earlier programme that paired 30 AI engineers with teams across Uber and gave them two weeks to automate key parts of their job.
- Uber did not disclose how much it is spending on the rollout, and published no productivity figures — Sukumar said the company "will look at how employees are using the technology, the kinds of workflows they develop and how it helps them work more effectively". The adoption numbers are Uber's own.
- TechCrunch, citing Sensor Tower, says Muse "has seen 10.9 million downloads since its September debut, 10.2 million of which were in the United States," and that its "daily active users reached 2.5 million for the first time on October 16, a 15% week-over-week increase." Sensor Tower analyst Kara Lee said only 11 other apps have reached this post-launch milestone, the most recent being Meta's Threads in July 2023.
- The comparison with rival assistants is stark: TechCrunch says "ChatGPT saw 3.7 million U.S. downloads in its first 40 days on the market," while "Grok and Claude saw only 500,000 and 200,000 U.S. downloads, respectively, in their first 40 days." US retention was "a 30% retention rate after 7 days and a 23% retention rate after 14 days," against rival averages of 19% and 16%.
- The launch is being bought as well as adopted: per Sensor Tower, "Meta has allocated 39% of its total advertising spend to market Muse in October, up from 23% last month," and Muse now ranks as the 21st largest brand in the US by advertising impressions this month, up from 73rd in September.
- These are third-party estimates from Sensor Tower, not Meta's figures, and Muse is available only in the US and Canada so far — context for the same app whose share links Claroc enumerated this week.