As part of Qualcomm Snapdragon Snapdragon Snapdragon 2025Honor has announced that the upcoming family smartphones Magic8 will be transported with the new fifth generation Snapdragon 8 Elite Chipsets. Thanks to the latter, Honor continues to determine what AI means to a smartphone for its consumers ..
Honor’s collaboration with Qualcomm offers new interactions to consumers with benefits to computing, storage and battery consumption. However, focus feels oriented towards a fourth target that is a quiet desire for every manufacturer and consumer … performance. This is not only the effectiveness of the hardware and software, but also to provide efficiency to consumers when using their phones.
This comes with transactions that the price will try to balance when it releases the features next to the Magic8 family of smartphones.
The benefits of compression of AI
The first appearance of large AI features on smartphones required connections to the cloud. This remains in the case of many features, but in 2025, there is a move to introduce as many processes as possible. This is more effective in using data and energy requirements. This requires hardware and software to provide solutions that meet these expectations.
AI models are large. Making these models smaller reduces the memory and storage required for the functioning of the models, which are critical to any device, but especially in smartphones.
Honor introduces low -digit quantification technology in the Magic8 series. In broad strokes, this is a compression technology that reduces the size of an AI model, with a price highlighting a 4.4 GB model that falls to 1.02 GB. This, in turn, allows the calculations to be executed more effectively, offering faster speeds and reduced energy consumption, all at the same time enhancing privacy while maintaining processing on the consumer’s smartphone.
But they are not without problems. While quantification offers significant performance profits, the compromise is in possible loss of accuracy. Compression of a model can affect the accuracy of the results. This can be offset during the development of the model, but it remains an important challenge.
AI hallucinations are a well -known public phenomenon. These can quickly break trust in an AI. The price balances the risk of consumers losing confidence in their phone with a more effective local AI model that can provide more results. I imagine the price will have protective messages about the use of quantized model to reduce the likelihood of hallucinations, giving it strictly defined roles and functions in the operating system.
Himanshu Bamoria of Athina AI He points out that the loss of accuracy can be mitigated and the lowest relative performance of a smartphone -based model compared to the cloud may have no significant impact:
“Paradoxically, for many cases of sharing, the loss was negligible.
The force of two local searches
The search for all the content of a smartphone has been a typical feature for many years. Why do you otherwise transfer personal information to a personal device, if not to recall it in a moment?
Navigation information, instead of app navigating, will be an essential part of the infrastructure, as the transition of smartphones from an app-first model to an Ai-First model. New search tools are required and the price introduces such an option today: Next -generation hybrid technology.
The hybrid in this word title refers to the use of both standard keyword search tools and semantic search. The keyword-based search focuses on finding an accurate match, while semantic search is more meaningful, it works effectively with inaccurate or unclear search terms. Balancing these two approaches to a mixed solution should produce more significant results for consumers.
As part of a deep dive in the hybrid search, the notes of the Ilia Markov of Meilisearch The disadvantages of this approach:
“Hybrid search requires the integration of multiple search algorithms (eg semantic search using dense integration). This integration can be technically complex and requires deep technical understanding.”
Finding the balance point between these two approaches will be critical. The results, undoubtedly, will be presented as a single, merged list. Both methods must be taken into account for inclusion without relying too much on one or the other. We return to honor trying to find the balance between trust and precision. For all the tests in a programmer’s lab, when this hits the real world, consumers will have wild different sets of laboratory data and will not want false results.
Practical applications of local models and improved search
There is always the risk when new techniques and approaches are presented that practicality is hidden behind the process. The price treats this through magical color. With a single natural language prompt, the Magic Color should be able to search and choose the desired photo, to lift the basic elements of color and tone, and redefine a second photo or video in the first style. There are no complicated tools, no photo-Roll scrolls and do not work through many small bites in a digital photo studio. Just ask.
The price has highlighted a series of prompts that cross all new features. “Save the image as a La La Land color standard” and “help me find the photos I took on forbidden City” are combined in the final image.
Another value he has pointed out is to enhance the visual quality of the graphics on the screen. Mostly focused on the game, it will balance GPU and NPU to create a super sampler powered by AI. This should allow the selection of low -resolution games, performed at a lower frame rates, upgraded to HD resolution up to 120 fps.
Various techniques are currently available that use GPU for this upgrade, but the price uses both GPU and NPU in combination as a “double engine” to provide faster processing and lower power requirements.
The Alpha Plan of Price at work
Every smartphone manufacturer is in a race to bring not only AI to their smartphones, but to lean the market for what AI should be. At the start of the Magic8 series, Honor makes a statement that it works more than the addition of AI features.
Through cooperation with Qualcomm, it remodeles the basic engineering of its smartphones. The effectiveness of AI on the boat of magic smartphones and tablets focuses on attracting almost unstable personalized results to consumers while maintaining their privacy.
Now read more about Honor’s work to determine AI through the Alpha plan…
