Gemini’s dataset is multimodal and multilingual, consisting of “web documents, books, and code, and including image, audio, and video data”. On 26 February 2026, Nano Banana 2 was rolled out and integrated into the Gemini chatbot, Search AI Mode, and Lens. Nano Banana showed good performance in architectural visualization, for producing imagery at the correct scale even with complex geometry. On January 12, 2026, Apple announced plans to use the Gemini AI model in the upcoming version of Siri. On December 17, 2025, Google announced the release of 3 Flash replacing the current version of 2.5 Flash.non-primary source needed Additionally, Google released Gemini 2.0 Flash Thinking Experimental, which generates a summary of the language model’s thinking process when responding to prompts.non-primary source needed
What can the Gemini models do?
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. These images were derided on social media, including by conservatives who cited them as evidence of Google’s “wokeness”. The New York Times conducted a test with ChatGPT and Gemini regarding their ability to handle tasks expected of human assistants, and concluded that ChatGPT’s performance was vastly superior to that of Gemini. Cade Metz of The New York Times described Gemini as “more cautious” than ChatGPT, while Shirin Ghaffary of Vox called it “dry and uncontroversial” due to the reserved nature of its responses.
Sundar Pichai, the CEO of Google and parent company Alphabet, was widely reported to have issued the alert, but Pichai later denied this to The New York Times. In November 2022, OpenAI launched ChatGPT, a chatbot based on the GPT-3 family of large language models (LLMs). Subsequent updates, including the Gemini 1.5 and 3 series released throughout 2025, focused on reducing hallucinations, improving latency, and enhancing agentic capabilities for autonomous research and software development. 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. In February 2024, the Bard chatbot was renamed Gemini, and the “Duet AI” branding for Google Cloud and Workspace was retired in favor of the Gemini identifier. The 1.5 and 3 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.
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- Many viewers also pointed out an error during the demo in which Bard gives inaccurate information about the James Webb Space Telescope in response to a query.
- In February 2024, Google introduced Gemini 1.5 Pro in a limited preview, notable for its one-million-token context window, which allowed it to process roughly an hour of video, 11 hours of audio, or 30,000 lines of code in a single prompt.
- It was later rolled out to Samsung Galaxy devices beginning with the Galaxy S25 series in July 2025, and subsequently expanded to models including the Z Fold 7 and Z Flip 7, where it became part of the Galaxy AI suite.
- 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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Apple Can Create Smaller On-Device AI Models From Google’s Gemini
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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.
- When a response is generated, you can click the Sources icon to see which links the AI used.
- And how does it stack up to other generative AI tools such as OpenAI’s ChatGPT, Meta’s Llama, and Microsoft’s Copilot?
- In June, Google attempted to launch Bard in the EU but was blocked by the Irish Data Protection Commission, who requested a “data protection impact assessment” from the company.
- On 26 February 2026, Nano Banana 2 was rolled out and integrated into the Gemini chatbot, Search AI Mode, and Lens.
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James Vincent of The Verge found it faster than ChatGPT and Bing Chat, but noted that the lack of Bing-esque footnotes was “both a blessing and a curse”, encouraging Google to be bolder when experimenting with AI. It was later rolled out to Samsung Galaxy devices beginning with the Galaxy S25 series in July 2025, and subsequently expanded to models including the Z Fold 7 and Z Flip 7, where it became part of the Galaxy AI suite. Gemini 1.5 Flash, a faster and more cost-efficient variant aimed at developers, was announced at Google I/O in May 2024 alongside the expansion of Gemini Advanced. 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. Google employees began testing a more sophisticated version of Bard with larger parameters, dubbed “Big Bard”, in mid-March. Reuters calculated that adding ChatGPT-like features to Google Search could cost the company $6 billion in additional expenses by 2024, while research and consulting firm SemiAnalysis calculated that it would cost Google $3 billion.
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Many viewers also pointed out an error during the demo in which Bard gives inaccurate information about the James Webb Space Telescope in response to a query. The technology was developed under the codename “Atlas”, with the name “Bard” in reference to the Celtic term for a storyteller and chosen to “reflect the creative nature of the algorithm underneath”. Bard was first rolled out to a select group of 10,000 “trusted testers”, before a wide release scheduled at the end of the month. On February 6, 2023, Google announced Bard, a generative artificial intelligence chatbot powered by LaMDA. Pichai assured investors during Google’s quarterly earnings investor call in February that the company had plans to expand LaMDA’s availability and applications.
The teen-focused Gemini has “additional policies and safeguards,” Betzino Casino including a tailored onboarding process and an AI literacy guide. Live is also designed to serve as a virtual coach of sorts, helping you rehearse for events, brainstorm ideas, and so on. 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. Gemini Advanced users can create Gems, custom chatbots on desktop and mobile powered by Gemini models.
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. 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. Google researcher Jacob Devlin resigned from the company after claiming that Bard had surreptitiously leveraged data from ChatGPT; Google denied the allegations. 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. 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.
Advanced multimodal understanding
Thankfully, Google makes it easy to check the sources Gemini uses to generate its responses. Go back to the Gemini import page and click the Add button below Import Chats. With either ChatGPT or Claude, you’ll receive an email with a button or link to download the exported data. Click the Export button next to Export data. Click the Export button next to Export data and then confirm the export. Gemini incorporates the information, which it can then use to personalize future conversations and responses.
Multiple publications described this as a response to Meta and others open-sourcing their AI models, and a reversal from Google’s prior practice of keeping its AI proprietary. Touted as Google’s “largest and most capable AI model” and designed to emulate human behavior, the company stated that Gemini would not be made widely available until the following year due to the need for “extensive safety testing”. Unlike other LLMs, Gemini was said to be unique in that it was not trained on a text corpus alone and was designed to be multimodal, meaning it could process multiple types of data simultaneously, including text, images, audio, video, and computer code. The result is content actively working for you to deliver faster decisions and execute across mission-critical workflows, from sales and marketing to legal and finance.” See how it codes a seamless 3D journey through the scale of the universe, from a proton to the observable universe, demonstrating a massive leap in “vibe coding” performance over Gemini 2.5. Delegate tasks and multi-step projects to get things done faster than ever before