hey you know those insanely powerful AI brains ...
Google just went, hold my beer, to the whole AI industry. Let's just read this together, and this is not a rehearsal. Meet Gamma 4, our new family of open models you can run on your own hardware. You know those billion-dollar, trillion-dollar, massive warehouses full of 10,000 GPUs running our LLMs? Well, now it sounds like Gamma 4 can do a lot of heavy lifting for you on your own hardware. That old PC, that Mac you got, maybe even your iPhone. Oh, baby. They're doing all of this because of the open-claw revolution, because of the agentic reasoning and workflows that is necessary. So first of all, what is a local LLM? It's exactly what it sounds like. Right now, we have to basically pay Anthropic, we have to pay Gemini to go up into the cloud. So every time you make a request in chatGPT, your question, your query goes into the cloud, it then gets processed at some data center, and then it spits the answer back to you. That's literally how it works. A local LLM that sits on your device, let's say this phone, let's say in the future I'm going to be holding it on my phone, it's not going to have to go up into the cloud and give me my answer. The phone itself is going to be able to process it in order to get what the hell you're asking about. But the reason this has been really impossible up to this point is just think about how much information is out there. We're talking about terabytes and terabytes and terabytes, and you need so much RAM to be able to actually remember any of it and process any of it that it was impossible. And the best part of this is privacy. You now don't have to send your private information up to the server for the chatGPT monsters to steal it from you, or read your messages, or talk about all your deepest, darkest secrets. You get to keep it local on your machine, just like you would have with your documents and your passwords. So this big breakthrough must have come very quickly because they recently put out another product that talks about compression of cache, and they optimized that to be like 800 times better. So I think this is definitely the future. I've been very, very bullish on local LLMs, and I think we're getting pretty close. So pretty insane, pretty powerful. The company that's going to actually do this at scale though, in my opinion, is going to be the next iPhone. Because the next iPhone is going to be so powerful that it's going to be able to actually process a lot of this information on device, which is amazing. And then we're just going to have to pay Apple probably $20, $30, $50.
Summary
Gamma 4 enables users to run AI models on personal devices, enhancing privacy and reducing reliance on cloud services. Future devices like iPhones may further advance local AI processing capabilities.
Key Points
- Gamma 4 allows running powerful AI models on personal hardware.
- Local LLMs eliminate the need for cloud processing and enhance privacy.
- Processing AI locally reduces reliance on large data centers.
- Future devices like iPhones may handle complex AI tasks efficiently.
- Recent advancements in compression technology improve performance significantly.
Tags
Repurpose Ideas
- Blog post: Benefits of running AI models locally
- LinkedIn post: How local LLMs enhance privacy
- Tweet: Future of AI processing on personal devices
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