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An AI startup wants to embed AI technology into everyday objects

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Artificial intelligence is extremely versatile, as it can be embedded into several entities. We’ve seen it plugged into websites, apps, desktop programs, mobile chips, etc. The list goes on, but there’s a company that wants to take this to the next level. According to a new report, a company named AIZip is looking to eventually embed AI technology into everyday objects.

Like most ambitious AI projects from startups, this is a pretty far-away dream at this point. We’re not sure when we’ll see anything solid from this project, but it might not be for several years. That’s important to note, as there are a few aspects of this project that might make some people a bit worried.

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AIZip wants to embed AI into everyday objects

As it stands, AI exists within large language models (LLM), and these models require a ton of physical space to operate. AI companies stockpile thousands of GPUs to train their models, and it’s been working so far. However, this means that powerful AI can never truly exist in the real world because the actual brain powering it lives in giant server rooms. This is an issue that AIZip is looking to solve.

The company wants to develop extremely tiny sensors called nanosensors. These will be embedded into just about anything from shoes to clothes to toasters to microwaves to even our toothbrush bristles, according to the company. These sensors will be able to pick up on data in real-time and adapt to it.

Imagine having trillions of tiny sensors embedded into your running shoes. As per the company’s dream, those shoes will be able to adjust to your gait in real-time to make walking and running more comfortable. That’s just one example of how this method could be effective. Having sensors embedded into everything could mean endless possibilities.

There’s one issue: size

As stated before, LLMs require a massive amount of space to exist. This is why it’s surprising that Google implemented Gemini Nano into the Pixel 8 Pro. So, AIZip wanting to embed AI into everyday objects seems rather far-fetched.

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AIZip’s vision is rather innovative, but it will leave some people worried. Not to mince words, AIZip looks to want to give the AI a fundamental characteristic of a computer virus.

Instead of living in large server rooms, the AI technology could live in the items themselves. Rather than relying on LLMs that retain all of the information needed, the AI living on the objects will adapt by duplicating itself to suit the needs of the user. Circling back to the shoe example, if the AI in your shoes needs to make an adjustment based on your gait, instead of tapping into an LLM, it will make a slightly altered duplicate of itself. This, in theory, will keep the size of the models much smaller than what we have today.

As you can imagine, this concept is a bit scary to some people. We’re going to have to wait to see what impacts this method will have on AI and technology in general.