Google Gemini Good or Bad?
I don't know if any of you have used Google Gemini. Recently, I've put it to the test and here are my findings: ๐ญ. ๐ฆ๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐๐ฟ๐ผ๐๐ป๐ฑ๐ถ๐ป๐ด โ Gemini: Natively integrates with Google Search, meaning responses can be backed by live, verifiable citations. โ Others (ChatGPT, Claude): Often rely on static training data or optional retrieval plugins, which can lead to outdated or hallucinated answers. ๐ฎ. ๐ ๐๐น๐๐ถ๐บ๐ผ๐ฑ๐ฎ๐น ๐๐ฎ๐ฝ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐ โ Gemini: Handles text, images, audio, code, and mixed inputs with large context windows. โ ChatGPT: Supports text + images (GPTโ4.5), but audio and multimodal orchestration are limited. โ Claude: Strong at long text reasoning, but weaker in multimodal input handling. ๐ฏ. ๐๐ป๐๐ฒ๐ฟ๐ฝ๐ฟ๐ถ๐๐ฒ ๐๐ป๐๐ฒ๐ด๐ฟ๐ฎ๐๐ถ๐ผ๐ป โ Gemini: Built into Google Cloud and Workspace, offering IAM (Identity & Access Management), compliance tooling, and secure deployment. โ Others: Enterprise features exist (e.g., OpenAIโs enterprise tier), but Geminiโs governance is more tightly aligned with Googleโs infrastructure ๐ฐ. ๐ฅ๐ฒ๐น๐ถ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ & ๐ง๐ฟ๐ฎ๐ป๐๐ฝ๐ฎ๐ฟ๐ฒ๐ป๐ฐ๐ โ Gemini: Designed to reduce hallucinations by grounding answers in search results. โ Others: Can be creative but less reliable for factโheavy queries. โ ๏ธ The ๐๐จ๐ง we all know: Gemini still behaves like an LLM with a static cutoff. Itโs AI, powerful, but you need to doubleโcheck outputs. ๐๐ผ๐๐๐ผ๐บ ๐น๐ถ๐ป๐ฒ: Gemini is strong for factโheavy queries, multimodal tasks, and enterprise users โ but itโs not magic. Use it as a tool, not a truth machine. ๐Which is your favourite AI tool? Drop it in the comments. Try it here: gemini.google.com/app