@lritter
No idea, butI think it is plausibel that doing more even with a tool is more stressful than doing less by hand. I think it was particularly about coding work.
A
allo@chaos.social
@allo@chaos.social
Posts
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gemma 4 e4b isn't half shabby, but i didn't think it would run in llama.cpp-vulkan in ubuntu on this lenovo yoga laptop with an AMD Radeon 860M GPU. -
gemma 4 e4b isn't half shabby, but i didn't think it would run in llama.cpp-vulkan in ubuntu on this lenovo yoga laptop with an AMD Radeon 860M GPU.@lritter
Be the zero, its not affected by multipliers!
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gemma 4 e4b isn't half shabby, but i didn't think it would run in llama.cpp-vulkan in ubuntu on this lenovo yoga laptop with an AMD Radeon 860M GPU.@lritter
The AI assisted 10x engineer, I guess. -
gemma 4 e4b isn't half shabby, but i didn't think it would run in llama.cpp-vulkan in ubuntu on this lenovo yoga laptop with an AMD Radeon 860M GPU.@lritter I've once read they are a multiplier. Making the dumb people dumber and the clever people more clever.
Like you can outsource things and blindly believe the output and fail hard, or you know exactly how to use them and speed up your work a lot.
Another interesting aspect: First people reported burnout from using LLMs, because they are much more productive, and that led to doing much more in a day than they would when doing things themselves, while the work is still mentally straining.
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gemma 4 e4b isn't half shabby, but i didn't think it would run in llama.cpp-vulkan in ubuntu on this lenovo yoga laptop with an AMD Radeon 860M GPU.@lritter For the rest: I know you are not too fond of LLMs or AI, and I guess we don't need to discuss this in detail. But for me, they do well within the range that one can expect of them, even for one-shotting medium sized scripts.
My take is that these things won't go away, so one should take what's useful and leave the rest. And don't fall for the hyped things like Openclaw.
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gemma 4 e4b isn't half shabby, but i didn't think it would run in llama.cpp-vulkan in ubuntu on this lenovo yoga laptop with an AMD Radeon 860M GPU.@lritter I am not sure what frontend you are using there. I think one of the advantages of kilocode (or roo) is that it provides good tools for dissecting the source and thought out system prompts. A one-shot in the web interface doesn't do the same than a command in kilocode.
Yeah, 27B/34B dense are too slow for me, too, but the MoE work for me. I need to reevaluate Gemma 4 after the latest fixes, it may now perform better.
And I guess having AI work with a novel programming language is hard.
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gemma 4 e4b isn't half shabby, but i didn't think it would run in llama.cpp-vulkan in ubuntu on this lenovo yoga laptop with an AMD Radeon 860M GPU.@lritter
If you'd like some hints:
- Gemma 4 support was broken some time. Use latest llama.cpp and redownload the quants if they are older than this week.
- Don't use vibe tools (just my personal opinion) but IDE integration like kilocode
- In my experience Qwen3.5 still beats Gemma for coding tasks. Probably depends on the programming language.
- The E4B model is strong for everyday tasks (Simple problems, translation from/to good supported languages, grammar checking)