Moore's law never ceases to amaze (the vulgar version where we're talking compute/dollar, not the transistor count doubling rate.) It won't be too long before phones are running AI models with performance equal to or better than current frontier models running on $100 million dollar clusters. It's hard to even imagine the things that will be running on billion dollar clusters in 10 years.

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freedomben 3 hours ago | parent | next [-]

I do hope you're right, but I'm quite skeptical. As mobile devices get more and more locked down, All that memory capacity gets less and less usable. I'm sure it will be accessible to Apple and Google models, but models that obey the user? Not likely

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timschmidt 3 hours ago | parent [-]

As state of the art machines continue to chase the latest node, capacity for older nodes has become much less expensive, more openly documented, and actually accessible to individuals. Open source FPGA and ASIC synthesis tools have also immensely improved in quality and capability. The Raspberry Pi Pico RP2350 contains an open source Risc-V core designed by an individual. And 4G cell phones like the https://lilygo.cc/products/t-deck-pro are available on the market built around the very similar ESP32. The latest greatest will always be behind a paywall, but the rising tide floats all boats, and hobbyist projects are growing more sophisticated. Even a $1 ESP32 has dual 240mhz 32bit cores, 8Mb ram, and fast network interfaces which blow away the 8bit micros I grew up with. The state of the open-source art may be a bit behind the state of the proprietary arts, but is advancing as well.

It's really fun to have useful hardware that's easy to program at the bare metal.

	▲	direwolf20 36 minutes ago \| parent [-]
		Even when technically accessible to individuals it still costs at least 10k$ to get a batch of chips made on a multi project wafer.

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deadbabe an hour ago | parent | prev [-]

They will not build that phone because then you won’t subscribe to AI cloud platforms.