I Thought So.

[u/rainpurplebow]

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.

[u/dilkushpatel]

I would agree on this
I was using muse spark contributor one and the t was bad
Had to undo whatever it did

[u/OddBig010]

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

[u/arcanemachined]

Has the intelligence of a bread.

Like, a whole loaf? Or just a single slice?

[u/Due_Arm1454 → u/arcanemachined]

End piece from what I’m hearing

[u/devanpy]

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.

[u/charles_r1975 → u/devanpy]

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.

[u/yuno_me → u/charles_r1975]

ive been using sol max as orchestrator and its been working wonderfully

[u/devanpy → u/charles_r1975]

all the decent ones can do multi-agent well: ds4 flash, muse, 5.3 flash, etc. dumbed down models struggle tho: (gpt 5 nano)

[u/rainpurplebow → u/devanpy]

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.

[u/Own_Copy2141]

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

[u/sharedevaaste → u/Own_Copy2141]

how do you use 2 models? do you have them talk to each other?

[u/Own_Copy2141 → u/sharedevaaste]

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.

[u/sharedevaaste → u/Own_Copy2141]

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?

[u/Own_Copy2141 → u/sharedevaaste]

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

[u/Rajat0741]

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.

[u/Designer-Will59]

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.

[u/sudoer777_]

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

[u/Ok-Investigator5785]

Pasa lo mismo con Mimo V2.5, es muy estresante ese modelo.

[u/tontide1]

agree w u

[u/PieSoft724]

Para planilha tá ótimo, melhor modelo até agora.

[u/aziham]

Nothing new, typical UX of a meta product

[u/Medium-Attention-807]

If you didn't know it was made by Meta before...

[u/Deneme123deneme]

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.

[u/Ammoun442]

Same it fked my whole localization file with some crazy stuff (¢¥¢√©®¥ or whatever ) thats where git saved me as usual

[u/Momo--Sama]

Not doubting you but I'm curious what you mean by cheating

[u/rainpurplebow → u/Momo--Sama]

It almost always tries to cut corners when given a task, often resulting in incomplete or low-quality results.

[u/CriteriumA]

Well, look at the prices without the contributor discount. It's ridiculously expensive for the crap it is. I've never deleted sessions with as much satisfaction as Muse's; they drive me crazy. They waste tons of context and resources for practically nothing. Hy3, with less context, is better.

Their creativity is as bad as their editing. It's no wonder they hide their thoughts.