Gemini Ultra vs Gemini Pro vs Gemini Nano: Google’s Gemini versions explained - Related to practices, apple, leading, edits, google’s

China investigating Apple for App Store monopoly practices

It responded to the US-imposed tariffs with levies of its own, both on physical goods like American fossil fuels, farm equipment, and pickup trucks, as well as on more intangible assets like starting a monopoly probe into Google or Nvidia.

's information, China is now preparing to hit none other than Apple with similar antitrust accusations stemming from an investigation it has been carrying out for a while. Apple's shares are already down on the news, as it includes probing its cash cow the App Store for unfair business practices.

Apple takes a big cut of the payments that go through its App Store, to the tune of up to 30%, and this practice have always been a point of contention between its marketing team and developers in the fight for the revenue from the app economy.

It insists that it provides the platform and the devices that developers otherwise wouldn't have had access to, while they argue that the cut is too much and the software and services department now takes a disproportionate share in Apple's revenues. The Chinese developers are no exception, and local giants like Tencent Holdings and ByteDance, the makers of TikTok, aren't please with the hundreds of millions they have to shell out to Apple for being present on its iPhones, as the App Store still holds about 20% market share there, and iPhones are usually bestsellers in China in the quarter they launch.

Tencent is one of the world's largest media companies, and certainly the largest video game conglomerate, and that is where the bulk of the money that comes in through the App Store originates from. Officials from China's State Administration for Market Regulation have already begun talks with Apple and developers for preliminary fundings about what they claim is an unfair amount of App Store commissions, and Tencent has been negotiating with it since last year, too.

A local Chinese court already allowed a developer to sue Apple for the App Store fees, and officials could turn their probes into a full-scale investigation at any time, modeling their requests after the changes Apple was forced to employ in its European operations, where it opened the iPhone to third-party apps and payment methods.

While the US is trying to ban TikTok and the new Trump administration is levying tariffs on Chinese goods that could see phone prices rise, especially those on prepaid brands like Motorola, China is introducing tit-for-tat measures.

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Gemini Ultra vs Gemini Pro vs Gemini Nano: Google’s Gemini versions explained

Google Gemini is the latest large language model (LLM) made by Alphabet’s Brain Team and DeepMind, offering a major upgrade over its predecessor. The new LLM has a lot of potential, built from the ground up to be multimodal. Previously creating multimodal models involved a lot of tweaking and stitching to make them work, whereas Google’s solution is designed to accommodate different modes tailored for specific use cases.

There are three distinct versions of Gemini, all designed with different advantages and disadvantages. Let’s jump right in and take a closer look at Gemini Ultra vs Gemini Pro vs Gemini Nano.

What is Google Gemini, and what’s the difference between Gemini Nano, Pro, and Ultra?

It used to be that Gemini was simply the name of the new LLM from Google which replaced PaLM2 on Bard, but things got a bit more complicated in February of 2024 thanks to the announcement that Google Bard would be rebranded as Google Gemini. Since then we’ve seen Gemini arrive on Android as a total replacement for Google Assistant, at least for those with a compatible device that wish to upgrade.

These days, Gemini represents the LLM as a whole, as well as its chatbot experience. There are actually three different versions of the Gemini engine, however.

So what is the difference between Gemini Ultra vs Gemini Pro vs Gemini Nano? All three versions are built from the same code and work similarly, but they have different use cases. You wouldn’t equip a tiny Honda hatchback with a V10 engine, right? The same general idea applies to the different versions of Gemini as well. Google Gemini Nano is your reliable 4-cylinder engine, perfectly able to get you where you need to go while being lightweight and efficient. Google Gemini Pro is effectively your V6, a standard engine size that applies to a wide range of tasks. Finally, we have Google Gemini Ultra, which is the equivalent of a V10 with tons of capabilities but at the cost of efficiency, as it needs a lot of power to run.

If you have the free version of the Gemini assistant your experience will be powered by Gemini Pro, those with the more expensive Gemini Advanced will have an even more powerful experience thanks to Gemini Ultra.

How do the three modes of Google Gemini compare to GPT? Google Gemini Nano doesn’t have a direct comparison, but Gemini Pro and Ultra are effectively Google’s answer to GPT [website] and GPT 4, respectively. Not only does Gemini have the power of Google Search so it can retrieve more current information, but it also is ahead of both engines in the vast majority of metrics. For example, Gemini Ultra outperformed GPT 4 in MATH and GSM8K benchmarks and is worlds above GPT for Python code generation.

In the next section, we’ll break down each version of Google Gemini, as well as a few more details on how each version compares to their respective GPT equivalent.

Google Gemini is the most lightweight and efficient of the models, designed to run directly on mobile devices. Google wasn’t content with just three versions of Gemini as Nano has two variants of its own: Nano-1 and Nano-2. The former can handle [website] billion parameters, while the latter is capable of [website] billion.

Although both are designed to run directly on lower-powered hardware, Nano-1 is for low-memory devices and Nano-2 is geared towards high-memory products. Gemini Nano has also been used on devices like the Pixel 9 to power certain AI elements like call notes, which don’t actually utilize cloud servers due to the sensitive nature of the data involved.

Google Gemini Pro: The engine that runs the Gemini assistant.

Gemini Pro is the middle tier mode, and what is currently powering Google Gemini. The good news is Gemini should be able to advanced compete with ChatGPT now that it runs on Gemini Pro, at least if Google’s indicates are accurate.

Reportedly Pro is more capable than [website] in six different benchmarks and is especially optimized for tasks like brainstorming, summarizing content, and writing. While this isn’t the newest version of GPT, it is the most front-facing as it is what is powering the popular ChatGPT service.

Google Gemini Ultra Google Gemini Ultra represents the highest tier and is the LLM model that gives GPT-4 a run for its money, as mentioned above. The Ultra exceeds 30 of 32 academic benchmarks for current state-of-the-art results used for LLMs and beats GPT-4 in every category outside of commonsense reasoning for everyday tasks.

While GPT-4 can understand the context of just words and images, Gemini goes a step further and can understand nuanced information for words, images, audio, coding, and even more complicated topics relating to mathematics and physics. It can also respond quickly to your questions, essentially in real time. Unfortunately, it’s also not available in any form just yet and so it remains more of a promise than anything.

How to access Google’s Gemini powered chatbot Gemini.

There are many ways to use the Gemini Assistant, including by downloading the app on a compatible device or buying a newer device like the Google Pixel 9, which has Gemini baked in from day one. You can also simply go to [website] You’ll need to sign into your Google account if you aren’t already. That’s it! Its also worth noting that Gemini also have a great new feature for Gemini Advanced consumers called Gemini Live, which lets you have live instant conversations with your digital assistant.

What LLM does the Gemini assistant use? Google Bard initially launched on March 21, 2023 using LaMDA as the engine, until it latter upgraded to PaLM 2 and finally Gemini Pro. More lately it’s been rebranded as Gemini, so the assistant and LLM now have the same name.

Is Gemini more effective than ChatGPT? Yes and no, as it depends on the version and what you’re looking for. Gemini Ultra is (on paper, at least) a step ahead of GPT-4 in nearly every metric except for commonsense reasoning for everyday tasks. Meanwhile, Gemini Pro arguably sits between GPT [website] and GPT 4 in terms of performance and capabilities.

Is Google Gemini free? Yes, Google Gemini is free to use, similar to ChatGPT. Unlike the latter service, Bard allows you to analyze images and other elements for free, while OpenAI keeps some of these ChatGPT capabilities locked behind its premium tier. That introduced, there is still a premium tier called Gemini Advance that adds extra capabilities.

Can I use Google Gemini on my phone? Yes you can use Google Gemini on your phone as long as it supports the Gemini app in the Play Store.

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The Galaxy S25 is leading the pack with tracking AI-powered image edits

The Galaxy S25 and soon other Samsung devices on One UI 7 add extra metadata to images that you edit with Samsung AI capabilities.

This metadata lets you see the history of AI edits on a photo, but it’s currently only visible through the Samsung Gallery app.

AI image generators have gotten really, really good at creating believable images, so it’s no wonder that many people are concerned about their impact on society. New smartphones make it so easy to create or edit photos with AI, further heightening these concerns. Thankfully, many companies are cognizant of these issues, which is why they’ve committed to adopting C2PA standards for digital media authenticity. Samsung is one of the first smartphone companies to adopt these C2PA standards by adding extra metadata to photos you edit with AI on the Galaxy S25 series.

C2PA, short for the Coalition for Content Provenance and Authenticity, is a group developing new standards to make tracing the origin of digital media easier. These standards define how cryptographically signed metadata should be embedded into image files. This metadata includes information such as the device used to create the image, any AI tools employed in its creation, who issued the content credential, and when the credential was issued. While similar information can already be embedded as metadata through EXIF tags, EXIF tags are easily falsified. Content credentials, in theory, are more difficult to fake because they function similarly to browser certificate lists; the C2PA maintains a list of known certificates to prevent self-signed certificates from impersonating legitimate entities.

Basically, C2PA standards help verify that an image originated from the source it states. They are not designed to directly identify AI-generated images. If an image includes C2PA metadata with a verifiable content credential issuer, you can be reasonably certain the image came from the entity listed in the metadata. However, if the content credential issuer cannot be verified or is not listed, the image might still be genuine, but you will need to look for other indicators of authenticity, such as watermarks or signs of manipulation.

Currently, few devices embed C2PA metadata in the images they create. The Galaxy S25, S25+, and S25 Ultra are the first Android phones to do so, and other Samsung phones will soon follow. During the Galaxy S25 announcement, Samsung stated that C2PA standards “may be applied to the S25 Series and are anticipated to expand to devices updating to One UI 7, for images generated/edited with Generative Edit, Sketch to Image, Portrait Studio, Drawing Assist, and AI Sticker (Keyboard).”.

When editing an image on the Galaxy S25 using one of Samsung’s AI tools, a message appears stating that “a watermark and content credentials are added to the image to show that it contains AI-generated content.” The watermark, identical to the one used by the Galaxy S24 for AI-edited images, is a simple text block at the bottom left that reads “AI-generated content.” The content credentials refer to the C2PA metadata discussed earlier, which can be viewed in the Samsung Gallery app by tapping the “cr” button in the image info dialog.

Alternatively, the image can be uploaded to the official Content Credentials webpage to view the metadata. It’s worth noting that Samsung’s certificate has not yet been verified, an issue the corporation will hopefully address soon.

For those wondering, removing C2PA metadata from an image is trivial using tools like exiftool. Furthermore, most apps do not yet recognize content credentials, requiring the use of either Samsung’s Gallery app or the aforementioned webpage for viewing. Late last year, Google presented plans to add content credential support to Search and Ads and has already rolled out support for a different metadata standard, IPTC, in Google Photos. Hopefully, Google and other tech companies will more broadly adopt C2PA standards, making it easier to verify an image’s source.

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