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The new weather app on Pixel phones uses Gemini Nano to generate tailored weather reports. A jungliwin future version of Android will tap Nano to alert users to potential scams during calls. There, it powers Smart Reply, which helps to suggest the next thing you’ll want to say when having a conversation in a messaging app such as WhatsApp. Users get summaries even if they don’t have a signal or Wi-Fi connection — and in a nod to privacy, no data leaves their phone in process.

Gemini Advanced

Accuracy is improving, but results still need to be cross-checked. Using it on your smartphone unlocks more features than the web-based version. Gemini isn’t immune from inaccuracies and reviews elsewhere have reported that the model can misunderstand the detail of what it’s being asked. We noted some bugs, but many of those have been ironed out since, with plenty of new features added.

• Google’s trying to make waves with Gemini, its flagship suite of generative AI models, apps, and services.
• 2.0 Pro pricing has yet to be announced, and Nano is still in early access.
• 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.
• 2.0 Pro outperforms its predecessor, Gemini 1.5 Pro, in benchmarks measuring programming, reasoning, math, and factual accuracy.
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• Pichai revealed on March 31 that the company intended to “upgrade” Bard by basing it on PaLM, a newer and more powerful LLM from Google, rather than LaMDA.

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An experience called Gemini Live allows users to have “in-depth” voice chats with Gemini. Give me a daily running plan” — and shared with other users or kept private. Recently, Gemini Advanced gained a memory feature that stores users’ preferences and allows Gemini to refer to old conversations as context for current chats. On Android, users can bring up a Gemini overlay to ask questions about what’s on their screen (for example, a YouTube video). On Android, the Gemini app replaces the existing Google Assistant app. Google says they were pre-trained and fine-tuned on a variety of public, proprietary, and licensed audio, images, and videos; a set of codebases; and text in different languages.

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What is Gemini 2.0?

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.

• Amanda’s work has been recognized with prestigious honors, including outstanding contribution to media.
• The Gemini model family offers a multimodal design, meaning it doesn’t only train on text.
• As part of Google’s partnership extension with McLaren in 2024, Gemini was advertised on the McLaren Formula One car, including racing a special livery based on Gemini’s color palette for the 2025 United States Grand Prix.
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• These 2B and 7B parameter models were seen as a direct response to Meta’s release of the Llama model family.
• As a result, it can’t be used as a definitive research tool.

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.”

We’ll note here that the ethics and legality of training models on public data, in some cases without the data owners’ knowledge or consent, are murky. This sets Gemini apart from models such as Google’s own LaMDA, which was trained exclusively on text data. All Gemini models were trained to be natively multimodal — that is, able to work with and analyze more than just text.
In the aftermath of the image generation controversy, some users began accusing Gemini’s text responses of being biased toward the political left. During the 2024 Summer Olympics in July, Google aired a commercial for Gemini entitled “Dear Sydney” depicting a father asking the chatbot to generate a fan letter to the star athlete Sydney McLaughlin-Levrone for his young daughter. Jeremy Kahn of Fortune called for researchers focused on safety and responsibility to work together to develop better guardrails. Hugging Face scientist Sasha Luccioni and Surrey University professor Alan Woodward believed that the incident had “deeply embedded” roots in Gemini’s training corpus and algorithms, making it difficult to rectify. House Republicans led by Jim Jordan subpoenaed Google, accusing the company of colluding with the Biden administration to censor speech.
Pichai faced growing calls to resign, including from technology analysts Ben Thompson and Om Malik. Hassabis stated that Gemini’s ability to generate images of people would be restored within two weeks; it was ultimately relaunched in late August, powered by its new Imagen 3 model. In an internal memo to employees, Pichai called the debacle offensive and unacceptable, promising structural and technical changes. In response, Krawczyk said that Google was “working to improve these kinds of depictions immediately”, and Google paused Gemini’s ability to generate images of people.
Previous debuts featured base models, followed by a flash model — a lighter, optimized and cost-efficient variant of an LLM. Google Gemini is a capable AI chatbot that’s available for free on iOS and Android, where it integrates with other Google apps, like Gmail. Gemini can be accessed online using almost any browser, by pointing it to gemini.google.com. Certain Workspace users can also access Deep Research, an in-depth reporting tool. The app is also where users can go Live with Gemini, allowing you to interact with the chatbot in real-time using your voice.
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The Gemini large language models (LLM) are successors to LaMDA and PaLM 2, and are the foundational technology for Google’s commercial AI products, including the chatbot named Gemini (formerly Google Bard) and features within Google Workspace and Android. It unlocks access to Google’s latest AI models, as well as new features and higher processing limits (allowing you to submit PDF documents of up to 1,500 pages). It also enables what Google calls Gemini Advanced, which brings the company’s more sophisticated Gemini models to the Gemini apps. The Gemini apps are clients that connect to various Gemini models and layer a chatbot-like interface on top.
Google’s AI Studio platform offers templates for creating structured chat prompts with Pro. In Google’s Vertex AI platform, developers can customize Gemini Pro to specific contexts and use cases via a fine-tuning or “grounding” process. 2.0 Pro outperforms its predecessor, Gemini 1.5 Pro, in benchmarks measuring programming, reasoning, math, and factual accuracy. Of course, Google offers no fix for some of the underlying problems with generative AI technology today, like its encoded biases and tendency to make things up (i.e., hallucinate). Many of these capabilities have reached the product stage, and Google is promising much more in the not-too-distant future. With Gemini Live enabled, you can interrupt Gemini while the chatbot’s speaking to ask a clarifying question, and it’ll adapt to your speech patterns in real-time.
Beyond the core models, Google has also introduced specialized tools under the Gemini brand. This includes 2.5 Flash, the new default for speed and efficiency, and 2.5 Pro, currently Google’s most advanced reasoning model. CEO Sundar Pichai framed Gemini 2.0’s debut as the start of the “Agent Era,” when AI models begin performing tasks on your behalf. Google’s Gemini family has expanded rapidly since its debut in late 2023, offering different models for different needs. If you or someone you know has a gambling problem and you need help, please call or visit Gamecare.
Gemini 1.5 Pro, 1.5 Flash, 2.0 Flash, and 2.0 Flash-Lite are available through Google’s Gemini API for building apps and services. And TalkBack, Google’s accessibility service, employs Nano to create aural descriptions of objects for low-vision and blind users. The Recorder app, which lets users push a button to record and transcribe audio, includes a Gemini-powered summary of recorded conversations, interviews, presentations, and other audio snippets. So far, Nano powers a couple of features on the Pixel 8 Pro, Pixel 8, Pixel 9 Pro, Pixel 9, and Samsung Galaxy S24, including Summarize in Recorder and Smart Reply in Gboard. Google says that Flash is particularly well-suited for tasks like summarization and chat apps, plus image and video captioning and data extraction from long documents and tables.