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Muse Spark 1.1

ai.meta.com

201–210 of 228 posts

Re: Muse Spark 1.1

#201
post #171
post #138

Earlier quoted context omitted.

How do you find the time to “preview” so many models? It’s been a crazy time recently with the model releases. Does it ever feel like a chore?

It does feel like a chore in weeks like this one where there are new models landing every day. I'm also increasingly worried that I'm not providing enough value in my model reviews. It's really hard to get a useful and credible idea for the strengths of the new models.

Please don't listen to those miserable people, I find your posts really interesting

Re: Muse Spark 1.1

#202
post #170

Earlier quoted context omitted.

My blog genuinely is a day job now, I make enough from the (unobtrusive, cookie-free) sponsorship banner that I no longer regret not having a proper software engineering job.

Isn't time for you to give us a break and stop posting in all threads then? It's clearly spamming.

I see you're being blammed. "They hated him because he spoke the truth." Just because this online character is from your alma mater website doesn't mean he's not cynically and shamelessly self-promoting.

Re: Muse Spark 1.1

#203

Earlier quoted context omitted.

People misinterpreted Google being behind as Anthropic and OpenAi being really ahead, when it was really just Google falling behind the same way it did with Tensorflow, Angular and GCP.

> when it was really just Google falling behind the same way it did with Tensorflow, Angular and GCP Not sure I agree. Angular fell behind in popularity but was (is? unsure atm) still eminently usable. I gave gemini a test drive recently and it was horrendous, as in "picking dirt cheap Chinese model over gemini any day" bad, and with overzealous guardrails to boot. 3.1 pro feels a year behind and is extremely lazy. 3…

I dont think gemini needs to be opus level though... if its there to power google search then the scale for google to operate at is enormous compared to openai/anthropic.

Re: Muse Spark 1.1

#204
post #72

Interesting how the prevalent opinion until yesterday seems to have been that OpenAI & Anthropic are irreversibly ahead and now with xAI and Meta at least delivered something that's competitive with useful models and cheap too. Granted, the narrative that the two leading labs are ahead still holds with Fable (and perhaps an upcoming GPT6), but it's not as over as common knowledge by the opinion leaders would have us…

Think it’s less a shift in who’s ahead and instead more people acknowledging that making yet another dashboard app worked fine on last years SOTA and doesn’t really need today’s SOTA

Re: Muse Spark 1.1

#205
post #170

Earlier quoted context omitted.

My blog genuinely is a day job now, I make enough from the (unobtrusive, cookie-free) sponsorship banner that I no longer regret not having a proper software engineering job.

Isn't time for you to give us a break and stop posting in all threads then? It's clearly spamming.

Who are "us"? Maybe you can set up a simonw-free forum and bring your like minded over there?

Re: Muse Spark 1.1

#206
post #170

Earlier quoted context omitted.

My blog genuinely is a day job now, I make enough from the (unobtrusive, cookie-free) sponsorship banner that I no longer regret not having a proper software engineering job.

Isn't time for you to give us a break and stop posting in all threads then? It's clearly spamming.

Some of us really like simonw's analysis, personality, and transparency. Just because you don't like it doesn't make it "spam"

Re: Muse Spark 1.1

#207
post #182

Earlier quoted context omitted.

This is still ridiculously expensive imagine having to pay $10 for 100 search results on Google, thats essentially what this is. I really dont see how anyone's willing spend more than $1.50 per mm output. Let alone $15-50. Does anyone actually pay for usage based billing as a consumer?

Yeah, DeepSeek V4 (Flash and Pro) is below $0.004 for 1M cache hits. Even with usage based billing I'm below $1 writing code all day.

What harness do you use to get that? Reasonix?

Re: Muse Spark 1.1

#209
Perhaps on brand for Meta, there appears to be no mention anywhere on this page or any of the docs pages, of any data retention policy. Maybe this is hidden in an agreement you need to sign when making an account? Has anyone actually done that?

Re: Muse Spark 1.1

#210

Earlier quoted context omitted.

meh, models are mostly good enough now. Without a major breakthrough the only thing that matters now is cost.

For your applications. For navigating and managing a world that lazed on a "good enough" policy, we still need the Real Thing.

Real Thing is going to come from a major breakthrough. I’m talking about competition amongst models. Difference between Fable and GPT Sol Ultra is so minor the only thing that really matters is that GPT is cheaper.

Hell, difference between Opus and Fable isn’t that big. I would still prefer Opus for most task because it’s cheaper. Break things down into smaller tasks and create deterministic parts of the process and you need the more expensive models less and less.

Anthropic needs to get their token efficiency under control or they will lose long term.

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