61–70 of 311 posts
Earlier quoted context omitted.
> cheaper than the cost of local electricity only. Can you explain what that means?
I think they mean that the DeepSeek API charges are less than it would cost for the electricity to run a local model. Local model enthusiasts often assume that running locally is more energy efficient than running in a data center, but fail to take the economies of scale into account.
I’d encourage devs to use MiniMax, Kimi, etc for real world tasks that require intelligence. The down sides emerge pretty fast: much higher reasoning token use, slower outputs, and degradation that is palpable. Sadly, you do get what you pay for right now. However that doesn’t prevent you from saving tons through smart model routing, being smart about reasoning budgets, and using max output tokens wisely. And optimiz…
They are equivalent of frontier models 8+ months ago.
Will open source or local llms kill the big AI providers eventually? If so when? I can see maybe basic chat, not sure about coding and images yet
Will open source or local llms kill the big AI providers eventually? If so when? I can see maybe basic chat, not sure about coding and images yet
They won't for coding and images, but they will socially. Everyone I know who has invested in home AI use is mostly using it for 'things that might get you banned/limited'.
I’d encourage devs to use MiniMax, Kimi, etc for real world tasks that require intelligence. The down sides emerge pretty fast: much higher reasoning token use, slower outputs, and degradation that is palpable. Sadly, you do get what you pay for right now. However that doesn’t prevent you from saving tons through smart model routing, being smart about reasoning budgets, and using max output tokens wisely. And optimiz…
I won’t use anything less than the SOTA. It tried using Opus 4.6 medium and immediately regretted it. High messes up enough.
I’d encourage devs to use MiniMax, Kimi, etc for real world tasks that require intelligence. The down sides emerge pretty fast: much higher reasoning token use, slower outputs, and degradation that is palpable. Sadly, you do get what you pay for right now. However that doesn’t prevent you from saving tons through smart model routing, being smart about reasoning budgets, and using max output tokens wisely. And optimiz…
I won’t use anything less than the SOTA. It tried using Opus 4.6 medium and immediately regretted it. High messes up enough.
I’d encourage devs to use MiniMax, Kimi, etc for real world tasks that require intelligence. The down sides emerge pretty fast: much higher reasoning token use, slower outputs, and degradation that is palpable. Sadly, you do get what you pay for right now. However that doesn’t prevent you from saving tons through smart model routing, being smart about reasoning budgets, and using max output tokens wisely. And optimiz…
They're all slop when the complexity is higher than a mid-tech intermediate engineer though.
I’d encourage devs to use MiniMax, Kimi, etc for real world tasks that require intelligence. The down sides emerge pretty fast: much higher reasoning token use, slower outputs, and degradation that is palpable. Sadly, you do get what you pay for right now. However that doesn’t prevent you from saving tons through smart model routing, being smart about reasoning budgets, and using max output tokens wisely. And optimiz…
Minimax 2.7 is fine for most web stuff. It's slightly worse than Claude at backend, but works great for frontend. They're all slop when the complexity is higher than a mid-tech intermediate engineer though.
This right here. Value prop quickly goes out the window when you're building anything novel or hard. I feel that I'm still spending the same amount of time working on stuff, except that now I'm also spending money on models.
Earlier quoted context omitted.
I won’t use anything less than the SOTA. It tried using Opus 4.6 medium and immediately regretted it. High messes up enough.
You cannot afford the SOTA.
Opus 4.6 is available on the $20 plan too