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spwa4 3 days ago

Buy an M5 max for $4k and you have a portable Deepseek 0731 for life.

dexterdog 3 days ago | parent | next [-]

But it won't last for life. It will probably last about 4 years so that equates to about 100/mo.

spwa4 3 days ago | parent [-]

M1 is finishing it's 6th year of life and going strong ...

dexterdog 3 days ago | parent [-]

Have you been trashing the non-replaceabe SSD with constant AI workloads? Do you have any idea how much electricity it uses over it those 4 years?

pulse7 3 days ago | parent | next [-]

You cannot wear out an SSD through AI inference alone. LLM weights are only read from the SSD, and read operations do not contribute to SSD wear. SSD wear is primarily caused by write and erase operations.

kadoban 2 days ago | parent | prev [-]

> Have you been trashing the non-replaceabe SSD with constant AI workloads?

Your other point is valid, but you're either vastly underestimating how many reads/writes a modern SSD can take or vastly overestimating how much output a typical LLM is capable of.

whateveracct 2 days ago | parent | prev [-]

models are stuck in time. eventually the world moves forward and it is trained on too much obsolete data.

training cannot end for LLMs intrinsically. it's not some fixed cost. it's an ongoing one.

jurgenburgen 2 days ago | parent [-]

> eventually the world moves forward and it is trained on too much obsolete data.

This is why LLMs are never going to be AGI. Humans don’t become obsolete just because they age.

saghm 2 days ago | parent [-]

Humans do die eventually though, which is an even more severe form of obsolescense. I don't think they'll be AGI either, but that argument doesn't seem super compelling.

spwa4 2 days ago | parent [-]

On the other hand you have the old saying "science advances one funeral at a time", indicating death solves at least as many problems as it causes.

(the point being that old, powerful professors have more than once blocked progress in their fields for decades. And only a funeral, eventually, solves the problem ...)