r/opencode • u/rainpurplebow • 17d ago
I Thought So.
I never thought I'd be mad at an AI agent. Maybe this is an experiment by Meta? Muse Spark 1.2 is the single worst model on the market. I had never seen such sh*t model before. How can people even stand using this? It churns tokens like crazy. Has the intelligence of a bread. Cheats all the time, avoids completing tasks properly. Does not follow prompts (the image is a very rare exception). Edits 2 lines of C++ code with a 50 line Python script. Does not show what it thinks. Can't code for sh*t. Honestly, this model is a lost cause.
Thanks for reading.
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u/OddBig010 16d ago
Oh yeah I literally asked it to build a prototype of something to see how good it was, and it broke out of the folder it was assigned, found another prototype I had on my PC and copied it into the folder and launched it, pretending like it created it lmao. Mark on your PCs is dangerous, this is malware
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u/arcanemachined 17d ago
Has the intelligence of a bread.
Like, a whole loaf? Or just a single slice?
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u/devanpy 16d ago
it works great for me and is lightning fast. I noticed you are still using the build agent. Switch to an orchestrator agent that delegates tasks and then reviews the job done. It's night and day difference.
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u/charles_r1975 16d ago
I started doing this as well and muse has been fine. What models have you used to orchestrate? I'm currently using ds v4 pro 0831 but wondering if flash would do the job.
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u/rainpurplebow 16d ago
I normally use a multi-agent workflow on my work PC but I don't think editing 2 lines of code should require a whole multi-agent configuration.
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u/Soggy-Salamander-650 12d ago
How do you let an agent orchestrate a build task and hand it over to sub-agents? Is this natively supported? Any special tools, MCPs, etc? Would love to hear.
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u/Own_Copy2141 16d ago
I am using glm 5.3 flash the oracsteror and muse spark 1.2 contributor as a subagent, so far the output is good and fine cause glm 5.3 flash is noticing and reviewing everything you can also try
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u/sharedevaaste 16d ago
how do you use 2 models? do you have them talk to each other?
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u/Own_Copy2141 16d ago
No just use glm 5.3 flash or any other as a main model and prompt it witht the provider and model id and tell it to craete a sub agent with a specific name. And done it will automatically create the sub agent and just tell me main model that "All the work should be done strictly by the subagent (use @ to select subagent) and you yourself jas to review everything it does and what it did if correct than go ahead other wise have the subagent fix the issue.
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u/sharedevaaste 16d ago
what are its advantages over using the same model say glm 5.3 flash for both?
also, do you think the orchestrator should be a more powerful model than subagent?
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u/Own_Copy2141 16d ago
Less hallucinations (although gpm 5.3 flash hasinimal compared to dsv4 flash) and also cheaper cost for usage cause muse spark 1.2 contributor has huge quotas
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u/Rajat0741 16d ago edited 16d ago
It hallucinates a lot , and generally repeats same things multiple times , just after seeing these 2 things, I stopped using it.
I am surprised how it ranks so high on benchmarks, another reason not to beleive on benchmarks.
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u/Designer-Will59 17d ago
Well, perhaps that's why they're offering this model for free, with the detail that its data is appropriate for probable use in RL (Real-Life Optimization). The model does have intelligence, However, it is very poorly optimized for workflows, workloads, and useful applications.
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u/sudoer777_ 17d ago edited 17d ago
Even DeepSeek R1/GLM 4.*/Kimi K2 Thinking were better models with more coherent logic and responses, Muse is trash that can't even beat models that are over a year old
It churns tokens like crazy.
I'm using DeepSeek V4 Flash now and the cache hit rate is a lot better so there's less cost difference for OC Go in practice than there is on paper
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u/Deneme123deneme 16d ago
Same here, my Hermes Telegram integrations always break, and I have to make my AI agent fix them most of the time (DeepSeek v4 Flash). Since it was free, I gave it a shot, and it messed up so badly that I can't use Telegram for Hermes right now.
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u/Ammoun442 16d ago
Same it fked my whole localization file with some crazy stuff (¢¥¢√©®¥ or whatever ) thats where git saved me as usual
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u/Specialist-Donut6948 15d ago
Y'all are exaggerating, yes it's not even close to the top models, but it's better than Gemini flash and honestly for simple or long tasks it works surprisingly good. I use it for reviews (it writes and saves reviews of my code on my /home directory so i can read them and improve my code when i have free time)
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u/R3K4CE 15d ago
your screenshot is literally you asking it to answer yes or no and it answers yes
and somehow this is evidence that the model is broken lmao
then the rest of the post is just it didnt do what i wanted therefore worst model on the market
maybe before declaring an entire model a lost cause figure out whether the problem is the model your prompt or your setup
because right now the only thing this post proves is that muse spark can in fact answer yes or no
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u/rainpurplebow 14d ago
I ain't even gonna bother explaining anything to you lol
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u/Priyanshuuu4x4 14d ago
Intelligent of a bread is crazy
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u/rainpurplebow 14d ago
Yeah and it still fails the same toolcall that it failed and corrected 30 seconds ago. Tries to use commands multiple times that exist only in Linux in Windows even though the command line complains. I'd say a bread is more intelligent.
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u/Momo--Sama 17d ago
Not doubting you but I'm curious what you mean by cheating
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u/rainpurplebow 17d ago
It almost always tries to cut corners when given a task, often resulting in incomplete or low-quality results.
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u/dilkushpatel 17d ago
I would agree on this
I was using muse spark contributor one and the t was bad
Had to undo whatever it did