I had no idea Meta has a coding agent harness. Does anyone have experience with it and can comment? The 1.3 contributor prices look very attractive. I'll probably start using their API if performance is good and the API is reliable with decent rate limits.
You should use their harness. They trained it on multiple harnesses but have specifically optimized it for their harness. Cline also did an independent experiment w spark 1.2 where using the native harness makes it use fewer tokens / turns to accomplish tasks
> Co-trained with the harness. Muse Code was in the training loop from day one, so tool calls succeed and plans execute cleanly. Crucially, we trained across multiple harnesses, so while the model is at its best in Muse Code, it still generalizes to other coding agents you already use.
As someone who uses AI all day it all makes sense. However, if AI is going to have serious impact white collar jobs as some people predict, the demand will decline. People without jobs won't pay for expensive subscriptions or API prices and the economy will be in recession.
For me the important question is where the economy will be in the next 5 years. Because if the economy is doing well, I have no doubt the AI demand will continue to sky rocket. I don't think it matters to Nvidia how uses their compute, closed or open models. The win either way.
Look at South Korea in the 70s and today. Technology helped South Korea to leapfrog many Western companies in a few decades.
It will happen again. Many 3rd world countries have better mobile phone networks than Europe while they basically have ZERO copper in the ground.
While in Western countries everyone is skeptical about AI, Asian countries are building robot armies to replace Western collar workers. So we think about regulation and bubbles while others think of how leapfrogging us. Invest and cost is 2 sides of the same coin. It's obvious what we see here and what others see around the globe.
Nvidia already announced in 2023 a partnerhsip for a 2 GW system in India. That was before even Blackwell was released. Back then that was a bigger deal than any Hyperscaler.
Do people seriously think that data centers and AI compute is only built in US? WTF?
Hyperscalers reach their limit in CapEx while Nvidia continues to grow. Nvidia has no limits since their TAM is every industry and every enterprise as well as every person in the world who is interested in using AI compute.
I actually use claude these days mostly for mission critical tasks and code reviews. Everything else I use Sol. I have $20/month plans on both. For non-coding I also use Gemini on a $20/plan. So far I haven't had any issues but we'll see how things go. I have Qwen3.8-27B installed locally but until I upgrade my mac it's not for day to day stuff.
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