Says nothing about AI capability or even graphics. I am skeptical about the value.

This is satire, right?

Off topic but I like your username! Ironically I have matching 2003 CR85 and CR250's but not the 125 :P

ilaksh 2 hours ago | parent | prev [-]

No, AI capabilities of some sort are obviously important. But I know a lot of people don't appreciate that.

But you aren't seriously suggesting that graphics hardware is irrelevant are you?

	▲	whilenot-dev 22 minutes ago \| parent [-]
		The few things that make me agree with GP: 1. "AI" is a marketing term used by the likes of OpenAI/Anthropic/Google. LocalLLaMa communities prefer to use "LLM" or "model". So for a lot of people "AI" is just a service (see 4.) 2. "AI capability" is an irrelevant spec and marketing slug. The hardware specs will give you the needed infomation to consider a model[0][1]. 3. If you'll want to run a model locally, you'd know that a midrange notebook isn't the device to look for. Instead look at workstations with discrete graphic cards + lots of VRAM (24GB+), Strix Halo APUs or a MacBook with lots of RAM, or some dedicated workstations like the NVIDIA DGX Spark[2]. 4. An inference engine can run anywhere, you can pick any LLM hosting service. LLM clients just expect an API endpoint anyway. [0]: https://www.canirun.ai/ [1]: https://www.caniusellm.com/ [2]: https://www.nvidia.com/en-us/products/workstations/dgx-spark...