Personal as in Meta gets your personal data so they can sell you more ads.
Muse Spark: Scaling towards personal superintelligence
221–230 of 392 posts
Re: Muse Spark: Scaling towards personal superintelligence
#222Can't login. No error message in the UI. But the URL changes to " https://www.meta.ai/?error=Token%20exchange%20failed ".
Re: Muse Spark: Scaling towards personal superintelligence
#223I don't like that I need to login to my FB/Instagram account to access this.
Re: Muse Spark: Scaling towards personal superintelligence
#224Re: Muse Spark: Scaling towards personal superintelligence
#225Meta is in a weird spot. They caught up late to the game and instead of releasing llama as a chat bot they open sourced it, precisely because they lost the mind share. They thought chatbot is not their product and I am sure they are regretting it now. Mark is obsessed with becoming the android of something and he poured billions into the metaverse thinking he is first and failed. He then open sourced llama and wanted…
For those reading fast, this isn't a reference to SpaceX's Grok, this is Groq.com - with its custom inference chip, and offerings like https://groq.com/blog/introducing-llama-3-groq-tool-use-mode... and https://console.groq.com/landing/llama-api
Re: Muse Spark: Scaling towards personal superintelligence
#226Re: Muse Spark: Scaling towards personal superintelligence
#227Re: Muse Spark: Scaling towards personal superintelligence
#228Litmus test: what % of meta engineers are using muse vs Claude code? Last i heard it was mostly claude code. Tell you everything you need to know about how serious these benchmarks are.
Re: Muse Spark: Scaling towards personal superintelligence
#229The hero image on the linked page, which consists of a muted teal background with the words "Introducing Muse Spark", weighs in at 3,5MB. I don't even...
Someday our robot overlords will be intelligent enough to ... optimize images! (But today is not that day.)
Re: Muse Spark: Scaling towards personal superintelligence
#230How is that Meta spent so much money for talent and hardware, but the model barely matches Opus 4.6? Especially, looking at these numbers after Claude Mythos, feels like either Anthropic has some secret sauce, or everyone else is dumber compared to the talent Anthropic has
Anthropic has just been focused on coding/terminal work longer mostly, and their PRO tier model is coding focused, unlike the GPT and Gemini pro tier models which have been optimized for science. Their whole "training the LLM to be a person" technique probably contributes to its pleasant conversational behavior, and making its refusals less annoying (GPT 5.2+ got obnoxiously aligned), and also a bit to its greater au…