Neowin Lists Desired Gemini Features for 2026

Neowin published an editorial on Jun 21, 2026 that lists feature requests for Google's conversational assistant, Gemini. Neowin reports that Gemini traces its lineage to Bard and that earlier model families included LaMDA and PaLM 2. The article notes that Gemini has been available since 2023 and that it attracted criticism for a factual error involving the James Webb Space Telescope, as recounted by Neowin. The piece focuses on product and UX changes Neowin's author wants added in 2026, including deleting individual message pairs, UI buttons to jump between messages, and other conversation- and research-oriented controls.

Neowin's requests concentrate on conversation management, session hygiene, and navigation features rather than on model architecture or new capabilities. Industry-pattern observations: conversational AI products often lag in granular session controls (delete, hide, pin) because preserving context across turns is treated as a core UX promise, which creates trade-offs when users need ephemeral or isolated queries. For practitioners, these trade-offs affect evaluation workflows, dataset curation from chat logs, and reproducible prompts when iterating on experiments.

Editorial analysis: Improvements to message-level controls and navigation primarily change developer and researcher ergonomics rather than raw model performance. Companies that provide conversational UIs for research or production use cases typically find that better session tooling reduces noise when collecting training prompts, simplifies redaction, and speeds iterative prompt engineering. For teams embedding assistants into workflows, UI affordances for context trimming and traversal can alter the cost of human-in-the-loop evaluation and labeling.

Editorial analysis: Observers should watch for product updates or release notes from Google that add message-level deletion, session export/import options, conversation-level metadata, or developer-facing APIs for context management. In addition, third-party tooling and platform integrations that offer conversation editing or provenance tracking will be an early indicator of how the ecosystem addresses these usability gaps.