If you’ve ever owned an Exynos-powered Galaxy phone, you already know the drill: heavy tasks like capturing back-to-back pictures or photos for a while, heavy gaming, or rendering videos turn your device into a hand warmer.
In such a situation, the battery bar drops faster than usual as well. Turns out, Samsung might be working on the fix, and it’s coming in a way nobody expected.
Samsung has been shipping early samples of a custom AI chip codenamed GAIA to laptop makers like HP and Lenovo. It’s built on a 4nm process for handling on-device AI without cloud dependency (via Android Headlines).
Here’s the part that actually matters for your phone. Renowned tipster Ice Universe points out that GAIA comes out of the same System LSI division that’s responsible for Exynos mobile chips on Galaxy phones. That’s not a coincidence I’d ignore.
The chip uses a memory-centric design, placing compute power right next to custom DRAM. So, it can crunch chatbot requests and photo edits locally instead of outsourcing them to a cloud-based AI service provider.
To me, GAIA’s memory-centric architecture sounds philosophically similar to Apple’s unified memory: it reduces the distance between compute and memory to improve efficiency. However, unlike unified memory, GAIA appears to be an AI-specific optimization, at least for now.
Nothing’s confirmed yet. Furthermore, GAIA is still aimed at 2027 laptops for now. However, the architecture gives Samsung an obvious blueprint to scale down into future Exynos silicon. This could, in a very real way, tackle the thermal and AI-performance gap that has existed between Snapdragon- and Exynos-powered Galaxy S devices, something that I noticed on the Indian Galaxy S26 I reviewed earlier this year.
Worth noting, this wouldn’t fix everything. Samsung’s modem issues are a separate headache entirely; GAIA won’t touch those. Still, if this hardware layout eventually lands in an Exynos chip, it’d be the most credible fix Samsung has offered yet.
Samsung’s willingness to test cutting-edge silicon in laptops before phones isn’t entirely new. If the company validates GAIA’s memory-centric design at scale in PCs first, it de-risks bringing that architecture into a phone chip people actually depend on daily.
Scroll through any app for five minutes, and you’ll find someone maxxing something. Their skin, their sleep, their protein intake, even their Friday night on the couch. That little suffix has been everywhere this year, and now it has a trophy to show for it. In a recent announcement, Dictionary.com named maxxing its 2026 Word of the Year.
What are people actually doing when they’re maxxing?
Speech-to-text apps have flooded the App Store, making it easier than ever to type on our Macs with just our voice. I have previously covered one such app called TypeWhisper. However, there has been a dearth of good text-to-speech models, and most of the good ones are locked behind a subscription.
Ollama, an open-source app that lets you run local AI models on your computer, wants to change that. It works on macOS, Windows, and Linux, and your prompts are never stored or used for training.
Did you think hitting delete on your AI chatbot conversation actually makes it disappear? Georgia Tech researchers just proved that's not entirely true. They have built a forensic tool called ORISA that can dig deleted conversations from your phone and even rebuild them into a working chatbot session you can keep talking to.
How can ORISA bring deleted AI conversations back?