Is Gemini bad? Memory, iPhone, images, Copilot, NotebookLM, AI Mode and Antigravity

Why Gemini disappoints, its memory, iPhone use and image errors, and how it differs from Copilot, NotebookLM, AI Mode, Assistant and Antigravity.

Pranjul Rathour
Pranjul Rathour

Key takeaways

  • Gemini's weak spots come from model choice, inconsistent answers, refusals and disabled settings.
  • Memory depends on personal context settings, account type and keeping chats focused.
  • On iPhone, use the official Gemini app by Google or gemini.google.com in Safari.
  • Copilot suits Microsoft 365 users, while Gemini suits Google Workspace and Android users.
  • NotebookLM, AI Mode, Assistant and Antigravity are separate Google products, several built on Gemini.

Gemini is Google's AI assistant and model family, and complaints that it is bad usually come from inconsistent answers, the model version in use, settings that disable memory, or regional limits on features. It improves quickly, but it is not the best at everything. I use multiple providers with fallback in RAG.NextUpgrad, so this page covers why Gemini disappoints, its memory, Gemini on iPhone, image generation errors, and how it differs from Copilot, NotebookLM, AI Mode, Google Assistant and Antigravity.

Why is Gemini so bad?

Gemini feels bad to many users because of inconsistent answers, overly cautious refusals, hallucinations and differences between models, since faster Flash models trade quality for speed. Results also vary by task: it leads on some and trails on others.

Early controversies, such as the 2024 pause on generating images of people after historically inaccurate results, shaped its reputation. Newer Gemini models score highly on many benchmarks, especially with long context and multimodal input, but benchmarks do not match every workflow. Improve results by choosing the strongest model available on your plan, giving clear context and examples, enabling Google Search grounding for facts and starting fresh chats when answers drift. For important work, compare outputs across assistants on your own tasks.

Why is Gemini's memory so bad?

Gemini's memory often seems poor because personal context features are off, unavailable in your region or account type, or limited to saved details. Within a chat, very long conversations also push earlier details out of focus.

Gemini can remember information you save and, where available, refer to past chats, but this depends on settings such as Gemini Apps activity and personal context options. Workspace accounts may have features controlled by administrators. To improve recall, save key preferences explicitly, keep one topic per chat, restate important constraints and use Gems with custom instructions for repeated tasks. Review what Gemini stores in its settings and delete anything you do not want kept, since memory involves privacy trade-offs.

What is Gemini on my iPhone?

On an iPhone, Gemini is usually Google's Gemini app from the App Store, or Gemini features inside Google apps such as the Google app, Gmail and Google Docs. It is separate from Apple's own Siri and Apple Intelligence features.

The Gemini app offers chat, voice conversations through Gemini Live, image understanding through the camera, image generation and connections to Google services. Widgets and Shortcuts can open Gemini quickly from the home or lock screen. If you see Gemini unexpectedly, check which app installed it or whether a Google app added Gemini features in an update. You can remove the app or adjust its permissions in iPhone Settings like any other app.

Can you use Gemini on your iPhone?

Yes. Download the official Gemini app by Google from the App Store, sign in with a Google account, and accept the terms. You can also use Gemini in Safari at gemini.google.com.

Also asked as: can i use gemini on my iphone

The app supports text and voice chats, Gemini Live conversations, uploading photos and files, and image generation where available. Some features need a newer iOS version, a supported country, a minimum age or a paid Google AI plan. Add the Gemini widget or an Action Button shortcut for quick access. Allow microphone and camera access only if you need voice or visual features. Keep the app updated, since Google releases new features to iPhone regularly.

Why is Gemini not creating photos on iPhone?

Gemini may not create images on iPhone because image generation is unavailable for your country, age or account type, the app is outdated, the prompt breaks content policies, or a temporary usage limit applies.

Also asked as: why gemini is not creating photo in iphone

Check these in order: update the Gemini app; confirm you are signed into a personal Google account, since Workspace administrators can disable features; and make sure you meet age requirements. Rephrase prompts that involve real people, logos or sensitive content, since Gemini refuses some requests. Usage limits on free accounts can pause generation temporarily. Try the same prompt on gemini.google.com in Safari to see whether the issue is the app or your account. Explicitly ask Gemini to create an image to trigger the tool.

How does Gemini compare to Copilot?

Gemini is Google's assistant built on its own Gemini models and integrated with Google Search, Android and Google Workspace. Microsoft Copilot mainly uses OpenAI's GPT models alongside Microsoft's own and integrates with Windows, Edge, Bing and Microsoft 365.

The best choice usually follows your ecosystem: Gemini suits Gmail, Docs, Drive and Android users, while Copilot fits Outlook, Word, Excel, Teams and Windows workflows. Both offer free tiers, paid plans, image generation, web-grounded answers and voice modes. Quality differs by task, and both update often, so test each on your real work. They are not the same product, and they do not talk to each other directly, though you can use both side by side for comparisons.

What is the difference between Gemini and NotebookLM?

Gemini is a general assistant that answers from its training, the web and your Google apps. NotebookLM is a research notebook that answers only from sources you add, such as PDFs, documents, websites and videos, with citations to each.

NotebookLM is built on Gemini models but designed for grounded study and research: it summarises sources and creates study guides, mind maps and Audio Overviews that turn documents into podcast-style discussions. Because it stays within your sources, it is less likely to invent facts, and every answer links back to passages. Use Gemini for broad tasks, writing and general questions, and NotebookLM for studying a defined set of materials. This grounded approach mirrors RAG systems such as RAG.NextUpgrad.

What is the difference between Gemini and Google AI Mode?

AI Mode is a conversational search experience inside Google Search, powered by Gemini, that answers queries with summaries and links to sources. Gemini is a standalone assistant for broader tasks such as writing, coding, planning and creating images.

AI Mode breaks complex queries into many searches and combines the results, so it suits research questions where you want sources and follow-up questions. Gemini can also search the web but is designed for longer conversations, file uploads, Gems, connected Google apps and creative work. AI Overviews, the summaries at the top of regular results, are a lighter version of the same idea. Use AI Mode when you want to explore the web, and Gemini when you want an assistant to do work.

What is the difference between Gemini and Google Assistant?

Google Assistant was a voice assistant built for commands, such as timers, smart home control and quick answers. Gemini is a generative AI assistant that understands complex requests, holds conversations and creates content. Google has been replacing Assistant with Gemini across phones and devices.

Gemini handles open-ended tasks better: summarising emails, drafting messages, analysing images and answering follow-up questions naturally. Early on, some Assistant features, such as certain smart home routines, worked better in Assistant, and Google added them to Gemini over time. On Android, you can choose Gemini as the default assistant in settings. Gemini Live offers natural voice conversation, while quick commands still work through Gemini's integrations with Google apps and devices.

What is the difference between Gemini and Antigravity?

Gemini is Google's model family and assistant. Antigravity is Google's agent-first development environment, released alongside Gemini 3 in November 2025, where AI agents plan, write, run and test code across an editor, terminal and browser.

Antigravity uses Gemini models, and also supports some models from other providers, to power agents that work on software tasks with less step-by-step guidance. It shows agents' plans, task lists and results, such as screenshots and browser recordings, so developers can review the work. Gemini, by contrast, is a general assistant used through apps, the web and the API. Developers can also use Gemini models in other coding tools, such as Gemini CLI or IDE extensions.

Sources

  1. Google, Gemini Apps Helpsupport.google.com
  2. Google, NotebookLMnotebooklm.google
  3. Google Antigravityantigravity.google
  4. Wikipedia, Google Geminien.wikipedia.org
  5. Microsoft Copilotcopilot.microsoft.com
  6. Wikipedia, Google Assistanten.wikipedia.org
Pranjul Rathour
Pranjul Rathour
GenAI Engineer · India

GenAI engineer and AI product builder with 2+ years shipping production-grade AI systems: RAG pipelines, fine-tuned LLMs, hybrid retrieval and multi-modal apps across vision, speech and OCR, architected end to end from ingestion to deployment. Leads engineering for SCULT INDIA's 14-member team, founded the 500+ member TechVerse Enclave community and has mentored 200+ students. Three hackathon first prizes: Changethon 2025 (IIT Roorkee), Product Genesis at Vividhotsava 2025 (CSJMU) and BYTEBATTLE (MeetKats).

Open to GenAI roles, hackathon judging, mentorship sessions and guest talks at colleges. For campus sessions the inviting institution covers the visit end to end: travel (a First AC train ticket for journeys up to five hours, a flight for anything longer), accommodation, meals, and pickup and drop; the honorarium and workshop fees are negotiable on WhatsApp or on the call, and requests are welcome from institutions that can cover the visit this way. Email pranjulrathour41@gmail.com.

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Open to GenAI roles, hackathon judging, mentorship sessions and guest talks at colleges. For campus sessions the inviting institution covers the visit end to end: travel (a First AC train ticket for journeys up to five hours, a flight for anything longer), accommodation, meals, and pickup and drop; the honorarium and workshop fees are negotiable on WhatsApp or on the call, and requests are welcome from institutions that can cover the visit this way.

Pranjul Rathour, GenAI engineer in India