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Gotta be honest that I’m tired of the “I hate Zuck and Meta so much” comments every time Meta does anything. Ditto Elon/X. Fine, I get it. I don’t like Zuck eit

by drob518 14d ago

Gotta be honest that I’m tired of the “I hate Zuck and Meta so much” comments every time Meta does anything. Ditto Elon/X. Fine, I get it. I don’t like Zuck either. But the post is about Muse Spark 1.3. What do you think about that? If you don’t like it because Meta made it, then maybe just don’t use it and stay silent.

idiotsecant 14d ago
Not liking something because the embodiment of corporate malfeasance is a rational way to decide what products to support.
duplessitous 14d ago
Technology doesn't just spring into being, there will always be comments on the organizations that developed it. If you don't like them or find them repetitive, it is far easier to collapse them and move on then bend a stranger to your will
canadaduane 14d ago
I get it, but the underlying problem is: we don't have a society-wide, effective solution to counterbalancing extractive systems. Lacking a reliable label, we have to constantly signal what's on the ingredients list.
- drob518 14d ago
  Okay, but the comment I reacted to was not that. It was simply (paraphrasing) “I won’t use anything from Zuck/Meta.” If it had been, “Be careful because I have insider information that Zuck/Meta is using Muse Spark to do <insert-nefarious-thing-here>, and here’s my substantiation for that…” I’d be okay with it. That’s interesting information that moves a conversation forward. But it wasn’t. It was just content-free “I don’t like Zuck” nonsense.
- luckylion 14d ago
  Are not all corporations extractive by nature? Google clearly is. That's obviously not the issue with that -- you don't see those comments on Google's AI announcements.
  - owebmaster 14d ago
    Yes you see. They get downvoted and flagged fast because there's a disproportionate amount of current and ex Google employees and stockholders around.
deleted 14d ago
[deleted]
jesse_dot_id 14d ago
Staying silent is unfortunately how fascism festers.
deleted 14d ago
[deleted]
troupo 14d ago
> But the post is about Muse Spark 1.3. What do you think about that? That: - like all models it was trained on stolen data - additionally it was trained on Facebook users who were all opted in to AI training with a convoluted 10+ step process to opt-out of > If you don’t like it because Meta made it, then maybe just don’t use it and stay silent. Why should anyone stay silent?
monster_truck 14d ago
That's not how any of this works my man. Must be nice to think you live a life where neither has had a profound negative impact on your day to day
whateveracct 14d ago
Zuck's bad PR is to blame here. Not the commenters. He should fix that. Anduril makes this same complaint whenever their job posts get dumped on. Same idea. Fix your bad PR, buddies :)
georgespencer 14d ago
> If you don’t like it […], then maybe just […] stay silent. You might consider following your own advice.
noduerme 14d ago
What I'm tired of is the top story (or five) on HN every day announcing Spark Opus Fable Grok Gemini v4.1i3-F. Like, who actually cares? Are people excited for the new benchmarks? Is it interesting to read the model cards? And look, part of my job is to use these things and part of my job is to pick EC2 servers, too. The front page of HN is increasingly resembling one of those endless AWS pricing lists. And yeah, I don't like any of the people or companies building LLMs either. At least the griping is somewhat interesting by comparison. The model isn't news. The news on Hacker News is that other professionals feel the same way.
- hadlock 14d ago
  I think a lot of people are curious where the "knee" is on gains and productivity, particularly in the agentic space, which is where the real value is. A lot of us are being forced to shoe-horn this stuff into existing products, and knowing how much of the task the model can do now, vs having to build a complex custom harness, is valuable information to have. A year and a half ago it took our dev maybe six weeks of struggling with LangChain to approximate what Claude + MCP server can do today. The MCP server took us perhaps 2 days to build and 3 more to get it production ready. Today that MCP server gets 2-3 commits per month. I absolutely want to know when new models come out. As for smaller models, we run a pretty wide variety of agentic workload doing data enrichment and, increasingly, a bunch of evaluation jobs to alert a human to review certain scenarios etc. These all run on the smaller 27B and 35B class models, and tooling behavior has improved DRAMATICALLY since april. The latest qwen 3.8 model has a 95% success tool call rate during internal testing and about 94% real world. That's about 3% better than the 35B-A3B model we're using today, but the 35B MoE is so much faster then 3% is worth the trade-off.
- NamlchakKhandro 14d ago
  Same for Apple products
- SyneRyder 14d ago
  > Like, who actually cares? Are people excited for the new benchmarks? Is it interesting to read the model cards? I'm genuinely interested. Even the benchmarks - before Fable came out & while waiting for Astra, I actually setup a math model to predict where they would land (Fable came in at 66 on AA exactly as it predicted), and now I have a model for where these models and Chinese models will likely land in future, and when. And probably no surprise that it's mid-2027 when we cross AA 100, essentially as AI 2027 predicted all along. I'll probably setup the harness I made for myself to try out some of these models on OpenRouter. I've been frustrated with Opus & Fable 5 and found that I like working with GLM 5.3 Flash far more than I expected to, and I only found that out because I tried it during the stealth Ox Alpha launch, which I probably found out about here too. TLDR, I think some / many people here are genuinely interested, excited, and that's why they're upvoted so highly. And Muse Spark 1.3 scoring highly seems like a genuine surprise, when Meta was basically a write-off not long ago.
dangoljames 14d ago
yeah, we should all just stfu because one internet dude is tired of hearing it
jasonmp85 14d ago
[dead]

by drob518 14d ago

idiotsecant 14d ago

Not liking something because the embodiment of corporate malfeasance is a rational way to decide what products to support.

duplessitous 14d ago

Technology doesn't just spring into being, there will always be comments on the organizations that developed it. If you don't like them or find them repetitive, it is far easier to collapse them and move on then bend a stranger to your will

canadaduane 14d ago

I get it, but the underlying problem is: we don't have a society-wide, effective solution to counterbalancing extractive systems. Lacking a reliable label, we have to constantly signal what's on the ingredients list.

drob518 14d ago
Okay, but the comment I reacted to was not that. It was simply (paraphrasing) “I won’t use anything from Zuck/Meta.” If it had been, “Be careful because I have insider information that Zuck/Meta is using Muse Spark to do <insert-nefarious-thing-here>, and here’s my substantiation for that…” I’d be okay with it. That’s interesting information that moves a conversation forward. But it wasn’t. It was just content-free “I don’t like Zuck” nonsense.
luckylion 14d ago
Are not all corporations extractive by nature? Google clearly is. That's obviously not the issue with that -- you don't see those comments on Google's AI announcements.
- owebmaster 14d ago
  Yes you see. They get downvoted and flagged fast because there's a disproportionate amount of current and ex Google employees and stockholders around.

deleted 14d ago

[deleted]

jesse_dot_id 14d ago

Staying silent is unfortunately how fascism festers.

deleted 14d ago

[deleted]

troupo 14d ago

> But the post is about Muse Spark 1.3. What do you think about that? That: - like all models it was trained on stolen data - additionally it was trained on Facebook users who were all opted in to AI training with a convoluted 10+ step process to opt-out of > If you don’t like it because Meta made it, then maybe just don’t use it and stay silent. Why should anyone stay silent?

monster_truck 14d ago

That's not how any of this works my man. Must be nice to think you live a life where neither has had a profound negative impact on your day to day

whateveracct 14d ago

Zuck's bad PR is to blame here. Not the commenters. He should fix that. Anduril makes this same complaint whenever their job posts get dumped on. Same idea. Fix your bad PR, buddies :)

georgespencer 14d ago

> If you don’t like it […], then maybe just […] stay silent. You might consider following your own advice.

noduerme 14d ago

What I'm tired of is the top story (or five) on HN every day announcing Spark Opus Fable Grok Gemini v4.1i3-F. Like, who actually cares? Are people excited for the new benchmarks? Is it interesting to read the model cards? And look, part of my job is to use these things and part of my job is to pick EC2 servers, too. The front page of HN is increasingly resembling one of those endless AWS pricing lists. And yeah, I don't like any of the people or companies building LLMs either. At least the griping is somewhat interesting by comparison. The model isn't news. The news on Hacker News is that other professionals feel the same way.

hadlock 14d ago
I think a lot of people are curious where the "knee" is on gains and productivity, particularly in the agentic space, which is where the real value is. A lot of us are being forced to shoe-horn this stuff into existing products, and knowing how much of the task the model can do now, vs having to build a complex custom harness, is valuable information to have. A year and a half ago it took our dev maybe six weeks of struggling with LangChain to approximate what Claude + MCP server can do today. The MCP server took us perhaps 2 days to build and 3 more to get it production ready. Today that MCP server gets 2-3 commits per month. I absolutely want to know when new models come out. As for smaller models, we run a pretty wide variety of agentic workload doing data enrichment and, increasingly, a bunch of evaluation jobs to alert a human to review certain scenarios etc. These all run on the smaller 27B and 35B class models, and tooling behavior has improved DRAMATICALLY since april. The latest qwen 3.8 model has a 95% success tool call rate during internal testing and about 94% real world. That's about 3% better than the 35B-A3B model we're using today, but the 35B MoE is so much faster then 3% is worth the trade-off.
NamlchakKhandro 14d ago
Same for Apple products
SyneRyder 14d ago
> Like, who actually cares? Are people excited for the new benchmarks? Is it interesting to read the model cards? I'm genuinely interested. Even the benchmarks - before Fable came out & while waiting for Astra, I actually setup a math model to predict where they would land (Fable came in at 66 on AA exactly as it predicted), and now I have a model for where these models and Chinese models will likely land in future, and when. And probably no surprise that it's mid-2027 when we cross AA 100, essentially as AI 2027 predicted all along. I'll probably setup the harness I made for myself to try out some of these models on OpenRouter. I've been frustrated with Opus & Fable 5 and found that I like working with GLM 5.3 Flash far more than I expected to, and I only found that out because I tried it during the stealth Ox Alpha launch, which I probably found out about here too. TLDR, I think some / many people here are genuinely interested, excited, and that's why they're upvoted so highly. And Muse Spark 1.3 scoring highly seems like a genuine surprise, when Meta was basically a write-off not long ago.

dangoljames 14d ago

yeah, we should all just stfu because one internet dude is tired of hearing it

jasonmp85 14d ago

[dead]