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Muse Code and Muse Spark 1.2

research.meta.ai

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Re: Muse Code and Muse Spark 1.2

#261
post #259

Earlier quoted context omitted.

That's circular reasoning, how would there be a lawsuit if customer have no way of knowing?

Sensible companies don't take that risk.

Sensible companies don't do a lot of stuff Meta has already been caught doing - sometimes with real consequences (but never enough to actually deter them, of course) - in the pursuit of more data.

Re: Muse Code and Muse Spark 1.2

#262

Earlier quoted context omitted.

Not really. I use Luna plenty and if this model is available in GH Copilot it would be nice to know how it compares on a cost/performance basis against models in its class.

So why did Meta compare against the Opus 5 Max, which is by far the most expensive model?

Why do they do anything? Why did they bet a gorillion dollars on VR second life? No clue, maybe this Zuckerberg guy isn’t as smart as we thought

Re: Muse Code and Muse Spark 1.2

#263

Earlier quoted context omitted.

So why did Meta compare against the Opus 5 Max, which is by far the most expensive model?

Why do they do anything? Why did they bet a gorillion dollars on VR second life? No clue, maybe this Zuckerberg guy isn’t as smart as we thought

Lol. That's about the only answer that makes sense.

Re: Muse Code and Muse Spark 1.2

#264
post #259

Earlier quoted context omitted.

That's circular reasoning, how would there be a lawsuit if customer have no way of knowing?

Sensible companies don't take that risk.

Sensible companies also don't gamble $80B on something obviously stupid like the Metaverse.

Re: Muse Code and Muse Spark 1.2

#265
post #93

Meta is offering a 10x discount on input ($0.10 vs. $1.25/Mtok) and 20x discount on output ($0.20 vs. $4.25/Mtok) if you opt in to let them train on your data. https://developer.meta.com/ai/models/muse-spark/

I've been surprised by the reception to this, as OpenAI, for a while now, has had free API usage when data sharing is enabled ( https://help.openai.com/en/articles/10306912-sharing-feedbac... )

1 million free tokens per day might sound like a lot. But that equates to something like 20 minutes of actual coding usage, because cached inputs are counted towards that limit. It's still great for running big singular requests, like solving some math problem with GPT 5.6 Sol Pro max reasoning effort.
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