In contrast to prior Gemini releases, the first preview of Gemini 2.0 was the Gemini 2.0 Flash model. It improves on prior generations of Gemini by helping to enable agentic AI workflows, as well as introducing reasoning capabilities. Gemini 2.0 is a portfolio of LLMs developed by Google as the company’s leading generative AI technology.
Gemini Flash is lightweight, while Gemini Flash Thinking adds reasoning
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- This includes 2.5 Flash, the new default for speed and efficiency, and 2.5 Pro, currently Google’s most advanced reasoning model.
- In November 2022, OpenAI launched ChatGPT, a chatbot based on the GPT-3 family of large language models (LLMs).
- Using it on your smartphone unlocks more features than the web-based version.
- Meanwhile, a senior software engineer at the company published an internal memo warning that Google was falling behind in the AI “arms race”, not to OpenAI but to independent researchers in open-source communities.
The teen-focused Gemini has “additional policies and safeguards,” including a tailored onboarding process and an AI literacy guide. The chatbot’s reach extends to Drive, as well, where it can summarize files and folders and give quick facts about a project. In response to a prompt (e.g. “How should I redesign my kitchen?”), Deep Research develops a multi-step research plan and searches the web to craft a comprehensive answer. As you’d expect, conversations with Gemini apps on mobile carry over to Gemini on the web and vice versa if you’re signed in to the same Google Account in both places.
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At its core, Gemini is a multimodal model which can process text, code, audio and image-based queries. There’s also Gemini for Workspace, which leverages the AI model to enhance cloud-based productivity. The company’s chatbot was previously called Bard, but this was brought under the Gemini umbrella in February 2024. A rival to the likes of ChatGPT, it’s a chatbot underpinned by a powerful AI model.
Pichai revealed on March 31 that the company intended to “upgrade” Bard by basing jungliwin it on PaLM, a newer and more powerful LLM from Google, rather than LaMDA. Shortly after Bard’s initial launch, Google reorganized the team behind Google Assistant, the company’s virtual assistant, to focus on Bard instead. Bard is trained by third-party contractors hired by Google, including Appen and Accenture workers, whom Business Insider and Bloomberg News reported were placed under extreme pressure, overworked, and underpaid.
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In early 2024, Google suspended the model’s ability to generate images of people after users reported historical inaccuracies and bias in its depictions of human subjects. Commentators have highlighted the models’ benchmarks in coding and retrieval tasks as competitive with OpenAI’s GPT-4 and GPT-5. The 1.5 and 3.0 model generations introduced extended context windows, enabling the analysis of large datasets such as entire codebases, long-form videos, or extensive document archives in a single prompt. Google distributes the technology in varying capacities, ranging from efficient on-device versions (“Nano”) and cost-effective, high-throughput variants (“Flash”) to high-compute models designed for complex reasoning (“Pro” and “Ultra”). The latest Gemini model launch has been accompanied by a series of major Google application releases or previews tied into the new model.
Google ended its contract with Appen in January 2024, while image generation was added to Bard the next month, using Google Brain’s Imagen 2 text-to-image model. In October, during the company’s annual Made by Google event, Hsiao unveiled “Assistant with Bard”, an upgraded version of the Google Assistant which was integrated with Bard. Online users later discovered that Google Search was indexing Bard conversation threads on which users had enabled sharing; Google stated that this was an error which was corrected. Google also introduced the “Google-Extended” web crawler as part of its search engine’s robots.txt indexing file to allow web publishers to opt-out of allowing Bard to scan them for training. An invite-only chatroom (“server”) on Discord was created in July, consisting of users who heavily used Bard. Bard gained the ability to assist in coding in April, being compatible with more than 20 programming languages at launch.
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- General availability of some of the model variants followed in February 2025.
- It’s available in the Gemini apps on mobile and the Pixel Buds Pro 2, where it can be accessed even when your phone’s locked.
- The Wall Street Journal’s editorial board wrote that Gemini’s “apparently ingrained woke biases” were “fueling a backlash toward AI on the political right, which is joining the left in calling for more regulation.”
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- Apple has said that it’s in talks to put Gemini and other third-party models to use for a number of features in its Apple Intelligence suite.
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The first iteration of Gemini 2.0 that Google made generally available is Gemini 2.0 Flash, which is a successor to the Gemini 1.5 Flash model, though it outperforms the Gemini 1.5 Pro model as well. Complex problem solving Improved logical analysis Tool calling (search, code execution) The following chart outlines the Gemini 2.0 model family and each LLM’s respective focus and capabilities. On Dec. 19, 2024, Google announced Gemini 2.0 Flash Thinking, an experimental model variant with more reasoning capabilities than the base Gemini 2.0 Flash model.
Join the waitlist to get first access to the lowest-priced tickets and important updates. 2.0 Pro pricing has yet to be announced, and Nano is still in early access. Input refers to tokens fed into the model, while output refers to tokens that the model generates.
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Launch the Safari browser on your iOS device, visit the Jungliwin website and find the area designated for downloading apps.2. Open the saved file, complete the installation process, and then launch the app to sign in or create a new profile. The mobile version mirrors the full functionality of the desktop site, including access to the casino, virtual sports, and betting options.
Importantly, this feature now reaches into Google Workspace and enterprise accounts, not just personal profiles. It enables low-latency, natural, back-and-forth voice conversations, complete with visual cues and deep app integration. Today, both the classic Assistant and Gemini Chat coexist on Android, giving users a choice between familiarity and brainier AI. Since then, Gemini chat has become the conversational backbone across a host of Google products — from Android Assistant to Chrome, Google Photos, and Workspace. Google’s chatbot narrative has evolved rapidly, and, true to Silicon Valley form, the naming conventions have gotten a little murky. What can be said with certainty is that Gemini 2.0 Flash Experimental is an extremely capable and performant AI model all round.
While Gemini as a chatbot might get most of the new models and attention from AI aficionados, most of the eyes on AI will be going to Gemini on mobile. The other side of Google takes those models and puts them into products. DeepMind and Google AI lead the research and release the models. Google is both a research and a product company. At the same time the company also made a surprising foray into open model territory, with the launch of the free Gemma product.
AI cannibalism of search has always been a sword hanging above the company’s head, and has contributed mightily to its ‘will they, won’t they’ attitude towards releasing AI products. This foundation stone of the whole AI industry delivered the LaMDA, PaLM, and Gato AI models to the world. Gemini models can process and generate not only written language but also images, video, audio, and even computer code. Copyright © jungliwin.net 2025 Reproduction in whole or in part in any form or by any means without express written permission is prohibited.
