{"slug": "neowin-lists-desired-gemini-features-for-2026", "title": "Neowin Lists Desired Gemini Features for 2026", "summary": "Neowin published an editorial on Jun 21, 2026 listing feature requests for Google's Gemini assistant, including message deletion and UI navigation improvements. The piece traces Gemini's lineage from Bard and earlier models LaMDA and PaLM 2, focusing on usability gaps rather than new capabilities.", "body_md": "# Neowin Lists Desired Gemini Features for 2026\n\nNeowin published an editorial on Jun 21, 2026 listing function-first feature requests for Google's conversational assistant, **Gemini**. The piece argues for practical improvements such as the ability to delete individual messages within a conversation, UI controls to jump between messages, and better context-management tools to support research workflows. Neowin also recounts Gemini's history, noting the assistant launched after **Bard** and that earlier model families included LaMDA and PaLM 2 (per the article). The editorial frames these as usability and workflow gaps rather than new model capabilities.\n\n### What happened\n\nNeowin 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.\n\n### Editorial analysis - technical context\n\nNeowin'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.\n\n### Context and significance\n\nEditorial 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.\n\n### What to watch\n\nEditorial 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.\n\n## Scoring Rationale\n\nNeowin editorial requesting Gemini UX improvements - primarily opinion/wish-list content rather than a product announcement or research finding. The conversation-deletion request gains minor timeliness because Google shipped the exact feature (admin controls for temporary chats + conversation deletion) on June 16/21, 2026, but the editorial itself is practitioner-adjacent opinion without original reporting or data. Score reflects minor category per editorial calibration guidelines.\n\nPractice with real Ad Tech data\n\n90 SQL & Python problems · 15 industry datasets\n\n[Active Search Campaigns by BudgetEasy](/problems/sql/active-search-campaigns-by-budget)\n\n[High CPC Clicks & Poor Landing PagesMedium](/problems/sql/high-cpc-clicks-poor-landing-page)\n\n[Campaign ROAS by Attribution ModelHard](/problems/sql/campaign-roas-by-attribution-model)\n\n250 free problems · No credit card\n\n[See all Ad Tech problems](/problems/datasets/adtech)", "url": "https://wpnews.pro/news/neowin-lists-desired-gemini-features-for-2026", "canonical_source": "https://letsdatascience.com/news/neowin-lists-desired-gemini-features-for-2026-4f048358", "published_at": "2026-06-21 19:04:55.935002+00:00", "updated_at": "2026-06-21 19:04:58.188602+00:00", "lang": "en", "topics": ["ai-products", "ai-tools", "large-language-models", "natural-language-processing"], "entities": ["Neowin", "Google", "Gemini", "Bard", "LaMDA", "PaLM 2", "James Webb Space Telescope"], "alternates": {"html": "https://wpnews.pro/news/neowin-lists-desired-gemini-features-for-2026", "markdown": "https://wpnews.pro/news/neowin-lists-desired-gemini-features-for-2026.md", "text": "https://wpnews.pro/news/neowin-lists-desired-gemini-features-for-2026.txt", "jsonld": "https://wpnews.pro/news/neowin-lists-desired-gemini-features-for-2026.jsonld"}}