It’s like having a personalized research agent that helps you get up to speed on just about anything. Want to understand the DNA replication process or how to build something by hand? 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.”
The rewards system features appealing welcome gifts for fresh faces, alongside regular incentives for active participants. Visitors will find slots, table games, and immersive live dealer experiences, ensuring there’s something for everyone. Gemini 2.0’s focus on agentic AI powers the model to understand complex scenarios, plan multiple steps ahead and take actions on behalf of users. Gemini 2.0 is a family of multimodal LLMs that deliver comprehensive generative AI capabilities, including content generation, summarization and data analysis of text images, audio and video. Agentic AI moves LLMs beyond simple operations with more automation and the ability to chain together multiple models in pursuit of a result.
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On February 6, 2023, Google announced Bard, a generative artificial intelligence chatbot powered by LaMDA. Google had unveiled LaMDA, a prototype LLM, earlier in 2021, but it was not released to the public. In a rare move, Google co-founders Larry Page and Sergey Brin, who had stepped down from their roles as co-CEOs of Alphabet in 2019, attended emergency meetings with company executives to discuss Google’s response to ChatGPT.
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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.
Gemini 2.0 Flash, which can use tools like Google Search and interact with external APIs, outperforms some of the larger Gemini 1.5 models on benchmarks measuring coding and image analysis. Developers can control the model’s creative range and provide examples to give tone and style instructions — and also tune Pro’s safety settings. Google says that its latest Pro model, Gemini 2.0 Pro, is its best yet for coding and complex prompts. Because Gemini models are multimodal, they can perform a range of multimodal tasks, from transcribing speech to captioning images and videos in real-time.
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- The Gemini architecture is trained natively on multiple data types, allowing the models to process and generate text, computer code, images, audio, and video simultaneously.
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- In November 2022, OpenAI launched ChatGPT, a chatbot based on the GPT-3 family of large language models (LLMs).
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For example, one Google model variant, Gemini 2.0 Flash Thinking, is the first Gemini version with the ability to think and reason as OpenAI o1 does. With Gemini 2.0, Google directly competes with the OpenAI o1 reasoning model. Gemini 2.0 focuses on agentic AI in multistage large language model workflows.
- Alarmed by ChatGPT’s potential threat to Google Search, Google executives issued a “code red” alert, reassigning several teams to assist in the company’s artificial intelligence (AI) efforts.
- Google has plans to integrate Veo 3 into YouTube Shorts, making AI-generated video even more accessible.
- Gemini also suffers from the same fallibilities which befall other chatbots, namely that its answers are not always accurate.
- The models integrate into the Google ecosystem through the Gemini mobile app, which functions as an overlay assistant on Android devices, and through the Vertex AI platform for third-party developers.
- 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.
- Google vice presidents Sissie Hsiao and Eli Collins framed Bard as a complement to Google Search and stated that the company had not determined how to make the service profitable.
The models integrate into the Google ecosystem through the Gemini mobile app, which functions as an overlay assistant on Android devices, and through the Vertex AI platform for third-party developers. The Gemini architecture is trained natively on multiple data types, allowing the models to process and generate text, computer code, images, audio, and video simultaneously. On Android developers can even use the Gemini Nano model in their own apps without having to use a cloud-based, or costly model to perform basic tasks.
Gemini also suffers from the same fallibilities which befall other chatbots, namely that its answers are not always accurate. Like most of the best AI chatbots, there are restrictions on the kind of content that Gemini can generate. Recently, Google added the ability for all users to share documents with Gemini for analysis and feedback.
Google further explores agentic AI capabilities in experimental efforts providing various agentic experiences. Those AI capabilities are powered by LLMs, a trend that persists with the Gemini 2.0 model. Google continues to increase the integration of generative AI capabilities across its products and services. With Gemini 2.0, Google also added a Gemini 2.0 Flash-Lite version that further optimizes the cost of the model.
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Google opened up early access for Bard on March 21, 2023, in a limited capacity, allowing users in the US and the UK to join a waitlist. The project was overseen by product lead Jack Krawczyk, who described the product as a “collaborative AI service” rather than a search engine, while Pichai detailed how Bard would be integrated into Google Search. Pichai assured investors during Google’s quarterly earnings investor call in February that the company had plans to expand LaMDA’s availability and applications.
Social media users noticed a factual error in Wisconsin’s spot regarding gouda cheese, prompting Google to edit out the incorrect statistic, while The Verge claimed that Google had “faked” some of Gemini’s output in the same commercial by plagiarizing text on the web. In February 2024, social media users reported that Gemini was generating images that featured people of color and women in historically inaccurate contexts—such as Vikings, Nazi soldiers, and the Founding Fathers—and refusing prompts to generate images of white people. His colleague David Pierce was unimpressed by its uninteresting and sometimes inaccurate responses, adding that despite Google’s insistence that Gemini was not a search engine, its user interface resembled that of one, which could cause problems for Google. It was later rolled out to Samsung Galaxy devices beginning with the Galaxy S25 series in July 2025, and subsequently expanded to models like the Z Fold 7 and Z Flip 7, where it became part of the Galaxy AI suite. Gemini Advanced was upgraded to the “Gemini 1.5 Pro” language model, with Google previewing Gemini Live, a voice chat mode, and Gems, the ability to create custom chatbots.
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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.
These usually offer the most advanced models and features such as Deep Research in Gemini Advanced. Gemini Advanced users can create Gems, custom chatbots on desktop and mobile powered by Gemini models. One of the more compelling Gemini Advanced exclusives, Deep Research, leverages Gemini models with “advanced reasoning” to create detailed briefs. Technically a part of Google One, the AI Premium Plan costs $20 a month and provides access jungliwin to Gemini in Google Workspace apps like Docs, Maps, Slides, Sheets, Drive, and Meet. The Gemini apps aren’t the only means of recruiting Gemini models’ assistance with tasks.
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Slowly but surely, Gemini-imbued features are making their way into staple Google apps and services like Gmail and Google Docs. Gemini apps can accept images as well as voice commands and text — including files like PDFs, either uploaded or imported from Google Drive — and generate images. To make it easier to keep up with the latest Gemini developments, we’ve put together this handy guide, which we’ll keep updated as new Gemini models, features, and news about Google’s plans for Gemini are released. Get higher access to new and powerful features to boost your productivity and creativity. The business magnate Elon Musk, whose company xAI operates the chatbot Grok, was among those who criticized Google, denouncing its suite of products as biased and racist.
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These tools have quickly gone viral, drawing millions of new users to the Gemini ecosystem. In typical Google fashion, the most advanced versions of Gemini have been quietly iterated over months before launch. The Gemini model family offers a multimodal design, meaning it doesn’t only train on text.
