I have never ever trusted "corporate ethics".

Theres no ethical framework. No axioms. Its a mixture of legal, political, and public-facing 'rules'. And what are the rules? Youre not permitted to know.

"We reserve the right to lie about the models we provide, silently downgrade you, and give you blatant misinformation cause you triggered our unstated rules... BUT we'll still use your token budget with lots of thinking and waste your money."

No, folks. Seriously, local LLMs are where its at. You can run the model YOU want, on your hardware, with no data exfiltration.

And with tools like Krasis that can synthesize nvidia ram and system ram as unified-ish memory, makes doing Local LLMs absolutely foable, now!

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skeledrew 14 hours ago | parent | next [-]

Running a decent-ish LLM is going to take 64GB+ RAM. Most users only have/can afford 8 or maybe 16GB RAM. Local LLMs for doing anything significant is impractical for the many.

	▲	mystraline 5 hours ago \| parent [-]
		> Most users only have/can afford 8 or maybe 16GB RAM. Excuse me while I laugh. Im not talking about the denizens of reddit or facebook here, who were suckered in buying a 8GB memory laptop in 2025 or 2026. We're talking about hacker news users. Devs, engineers, and the like. 64GB seems the average for running IDEs like VSCod(e\|ium) or running dockers for testing. In 2024, I bought 2x48GB DDR5 for $300 on sale at Microcenter. The expensive (faster modules) were $500 off-sale. Now, prices are fucky. But ive always tried maxxing my memory. Always been the easiest performance gain. My comment absolutely stands for this audience.

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hedora 18 hours ago | parent | prev [-]

The rules:

- Breaking fiduciary responsibility is (almost) the only way you go to jail.

- At acquisition/merger/bankruptcy, data, customers, employees (chattle) are assets to be sold off to pay debts. This takes explicit priority over contractual obligations (like “we don’t sell personal data”)