| ▲ | npinsker 9 hours ago |
| Human minds are built to find patterns, and you should be careful not to assume the rate of improvement will continue forever based on nothing but a pattern. |
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| ▲ | throwawaytea 8 hours ago | parent | next [-] |
| Just the fact that even retail quality hardware is still improving at local LLM significantly is still a great sign.
If AI quality remained the same, and the cost for local hardware dropped to $1000, it would still be the greatest thing since the internet IMO.
So even if the worst happens and all progress stops, I'm still very happy with what we got. |
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| ▲ | leptons 7 hours ago | parent [-] | | >I'm still very happy with what we got "One person's slop is another person's treasure" I'm not all that impressed with "AI". I often "race" the AI by giving it a task to do, and then I start coding my own solution in parallel. I often beat the AI, or deliver a better result. Artificial Intelligence is like artificial flavoring. It's cheap and tastes passable to most people, but real flavors are far better in every way even if it costs more. | | |
| ▲ | LadyCailin an hour ago | parent [-] | | At their current stage, this feels like the wrong way to use them. I use them fully supervised, (despite the fact that feels like I’m fighting the tools), which is kind of the best of both worlds. I review every line of code before I allow the edit, and if something is wrong, I tell it to fix it. It learns over time, especially as I set rules in memories, and so the process has sped up, to the point that this goes way faster than if I would have done that myself. Not all tasks are appropriate for LLMs at all, but when they are, this supervised mode is quite fast, and I don’t believe the output to be slop, but anyways I feel like I own every line of code still. |
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| ▲ | fauchletenerum 8 hours ago | parent | prev [-] |
| The overall trend in AI performance will still be up and to the right like everything else in computing over the past 50 years, improvement doesn't have to be linear |
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