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.
Muse Spark 1.1
201–210 of 228 posts
Re: Muse Spark 1.1
#202Earlier 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.
Re: Muse Spark 1.1
#203Earlier 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…
Re: Muse Spark 1.1
#204Interesting 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…
Re: Muse Spark 1.1
#205Earlier 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.
Re: Muse Spark 1.1
#206Earlier 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.
Re: Muse Spark 1.1
#207Earlier 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.
Re: Muse Spark 1.1
#208Re: Muse Spark 1.1
#209Re: Muse Spark 1.1
#210Earlier 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.
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.