DoorDash2026-09-30 15:44:04DoorDash opens waitlist for AI ordering assistant inside Apple MessagesDoorDash has opened a waitlist for its AI ordering assistant within Apple Messages, according to a Techub News item citing Crypto Briefing. The feature is designed to make food ordering easier through a conversational AI interface rather than a standard app flow. DoorDash says the tool is meant to streamline the ordering process while improving convenience and personalization for users. At the same time, the rollout has prompted discussion around data privacy. The report did not include launch timing beyond the waitlist opening, nor did it disclose more technical details about how the assistant works inside Apple Messages. The announcement centers on user access to the waitlist and the broader promise of chat-based ordering, while privacy questions remain part of the conversation around the feature.20
Plaid2026-09-29 09:21:53Plaid and Decagon partner to enable bank account linking inside conversational AIFinancial data network Plaid has entered a partnership with conversational AI company Decagon, according to a Techub report citing Finextra Crypto. Under the arrangement, Decagon users will be able to securely connect their bank accounts through Plaid within a conversational interface. The setup is also intended to let users handle issues tied to bank account connections, failed payments, and transaction disputes without leaving that chat-based environment. The announcement centers on integrating Plaid’s bank-linking infrastructure into Decagon’s conversational AI workflow, with the stated focus on secure account connection and related support actions.190
Tavus2026-08-30 06:38:05Tavus Launches Sparrow-2 to Stop Voice AI From Interrupting PausesAI digital human company Tavus has unveiled Sparrow-2, a real-time conversation comprehension model designed to help voice agents decide when to listen, wait, speak, or continue speaking. Unlike traditional systems that filter out background noise, Sparrow-2 jointly processes speech content, tone, pauses, speaker identity, overlapping voices, and ambient noise, updating the conversational state every 10ms. In tests across 575 real conversational nodes, Sparrow-2 achieved a dialogue timing failure rate of just 2.1%, roughly a quarter of the best comparison model. When users paused for over a second, the model waited 97% of the time without assuming the user had finished. Crucially, this patience didn't come from simply delaying responses—both Sparrow-2 and two baseline systems posted a median response time of 680ms when successfully interjecting.810
