slinging tokens on @aiatmeta to help businesses grow
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Joined July 2009
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Jack Krawczyk retweeted
Upgraded the models for Muse and Meta Al, bringing Active Memory and Active Focus from Muse Wonder to everyone. In Muse, these new specialized models are 2.4x less likely to forget critical info and are 67% better at self correcting and completing everyday tasks which means less repeating yourself and fewer dead ends.
More on the models: research.meta.ai/blog/specia…
it's been great feedback so far and more room to keep getting better muse.ai/business
Muse for SMBs might be the most underrated story in consumer agents right now
They have near-infinite consumer distribution at very low cost, with a base of 3.64 billion daily active users across Meta apps
But even more importantly, more than 500M SMBs use Meta for marketing. If Meta gives agent discoverability (preferred or not) to that SMB base, it could be a huge boost, especially for local businesses who can hyper-target users with urgent purchase needs
Meta said in their Q3 earnings calls (and in blog posts prior) that they plan to build an ecosystem of connectors for SMBs in Muse - analytics across your Meta accounts plus QuickBooks, Canva, Stripe, etc.
Many of these businesses are already trusting Meta with their growth / ad dollars - I could see Muse becoming almost a nervous system for SMBs that allows Meta to capture more and more of their activity over time
Shopify has already leaned into this (@tobi) - Muse can search across the Shopify catalog and complete purchases for consumers, and businesses can manage their Shopify store in Muse via a connector
And, the early Muse user base has shown a willingness to purchase via agents. 25% have completed a transaction via Muse, with average purchase size over $200. And, the top activity on Muse is shopping
Very curious to see what comes next here, especially with holiday gifting on the horizon 👀
Jack Krawczyk retweeted
konnichiwa!
we are launching muse in japan today! 🇯🇵
it is now available—download it from your favorite app store!
(i hope you're ready for the anime memes 😇)
Jack Krawczyk retweeted
I’m hiring an intern to work closely with me at the intersection of Health, RL and agents at MSL 🧑⚕️
Directions I am very excited about are taking shape, with plenty left to explore.
I’d love to hear from curious people who enjoy turning open-ended ideas into things that work!
Jack Krawczyk retweeted
As promised, Muse Spark is being open sourced today.
This was our first base model we trained under the new MSL org, this open weight version has gone through a lot of careful additional training for open-weight release. It’s an efficient and capable model, try it out!
Jack Krawczyk retweeted
Muse Spark Open -- weights releasing today -- runs great on new Mac Studios thanks to work with @johnternus and Apple.
the only thing better than Muse Wonder Full is updated token efficiency in Muse Code to resultmaxx
Muse Code 1.4.8 is out and is focused on token efficiency.
- Auto-review and background agents now use a cheaper model when available, and long auto-reviews stop sooner instead of burning tokens.
- We've fixed a bug that routed a small number of users who had enabled contributor mode to the full-priced models.
Jack Krawczyk retweeted
muse wonder is super fast and token efficient ⚡️ ⚡️
give it a go!
The two top models on the Intelligence Index take about twice as long per task: Claude Opus 5.5 and Sonnet 5.5 (@AnthropicAI) vs. Muse Wonder (@Meta).
Muse Wonder finishes an average task in 6.8 minutes with a 52.4 score. Opus 5.5 takes 13.2 and Sonnet 5.5 takes 15.3, scoring 57.6 and 56.0. Muse Spark 1.3 and GPT-6 Astra (@OpenAI) follow at 8.1.
When someone is waiting on the answer, minutes can matter more than a few index points. Merge Gateway lets you send latency-sensitive requests to the fast model and the hard ones to the strong one, behind one endpoint.
Scores via artificialanalysis.ai, week of Oct 12.
Jack Krawczyk retweeted
Build the future of superintelligence with us.
The Meta Global AI Developer Hackathon is taking place from Oct 26-Nov 4.
Apply to compete for a share of $1M in prizes and build with our newest models. Each selected participant gets $150 in Meta Model API credits.
Limited to 20,000 selected applicants. Terms apply → bit.ly/4saQrA8
Apply now → bit.ly/4hR3cuQ
Jack Krawczyk retweeted
If you ran into usage issues earlier today, this has now been fixed. We've reset everyone's usage as compensation. Happy coding!
Jack Krawczyk retweeted
Personal finance and legal are important capabilities for Muse, and Muse Wonder is extremely strong on them! 💪🍉
When you consider Muse Spark was April, Muse Spark 1.1 was July, 1.2 was August, 1.3 was September... it leaves you full of Wonder.
get the full experience: curl -fsSL dev.meta.ai/install.sh | bash
Jack Krawczyk retweeted
@Muse is now on iPad! Kudos @ivanbruel for sprinting on this!!
