lmk

building for a cause

[lmk @monkwithopinion]

Whoever designed the toilet seat the way it is has a nano micro penis and thought everyone else does too

[lmk @monkwithopinion]

@zachtdavidson @cosign would like an invite. appreciate it!

[lmk @monkwithopinion]

@jesseabed_ Will u raise vc money or plan to just bootstrap?

[lmk @monkwithopinion]

@jesseabed_ @vegardev @EndrewBiz Do you pay them upfront or managed to get low cost upfront affiliate deal with the creators?

[Min Choi @minchoi]

Ok Muse is actually useful.

People are using Muse to get their money back, save on bills, get efunds.

10 wild examples:

[Alexandr Wang @alexandr_wang]

muse is going NATIONWIDE to a television near you

this is our first @muse ad ever, going live this weekend! we hope you like it while watching the big game(s)!

big ups to @joshginsberg, denise, and the whole meta marketing team ❤️

[Alexandr Wang @alexandr_wang]

canada!! muse is now live for you 🇨🇦

go get it: https://t.co/oGzBjKtAyn

[Matthew Berman @TheMattBerman]

jev is INSANE.

in 40 seconds it broke down 724 live ads from 37 brands.

every hook. every format. offer. cta. awareness stage. landing page mismatch. used 9 cents of tokens.
(will be avail in @stealads + mcp)

[Mark Zuckerberg @finkd]

Muse for Mac is out today! It works across apps, files, calendar, notes, and messages on your computer. You control what it can access. The team is shipping fast. Download at https://t.co/BX3oX19Zcl

[Alexandr Wang @alexandr_wang]

muse for mac is HERE!! your agent can now get stuff done right on your computer — files, messages, calendar, notes, all of it.

you're in control of what it can access, and it always asks before doing anything sensitive.

Add it to the dock - https://t.co/bFHgBZlkLj

[lmk @monkwithopinion]

@char_helps @_abhixyz it has strong competitors like grokbot, muse, and more

[Singularity Research @SingularityRes]

Meta's Muse AI has saved real people $9,649.71 and run 129 errands for them - and I have the receipts.

100 real stories below, ranked by money. The best ones are insane

[Mia @MiaAI_lab]

Grok 4.6 on High is better than Opus 5 on Max

This isn't a guess, it's a simple fact. After 48h of using Grok on the exact same projects, Grok has saved me a lot of time by avoiding the utter BS I've been though with Opus.

It's a solid workhorse!

Can't wait for Grok 4.7 and beyond.

[Alexandr Wang @alexandr_wang]

we just launched invite codes in @Muse !

if your friends use your invite code when signing up, both of you get 🎉1 BILLION TOKENS EACH🎉 for up to 20 friends!

and if you invite all 20 friends, you’ll get early access to our newest features (like 📞☎️🤫 and more!)

[signüll @signulll]

the amount of deeply personal, & actually actionable ai training data fb is likely generating right now through muse is likely insane. even if peripheral.

stuff like what ppl see, want, ask, choose, buy, ignore, & act on. esp through the connectors. it’s basically onavo built in house.

& the compounding effects of that data flywheel are only the beginning. muse is basically fb 2.0 as a company which is why zuck needed to go all out.

[Garry Tan @garrytan]

I think Muse is going to win tbh

[Kaif @kaif9998]

i literally cancelled Claude code and Codex subscription all i do is add $10 in deepseek v4.1 flash and i am set for a month of usage.

$10 gives you ~2B tokens

[vanya @damnventures]

@brycent sure

they resell a Chinese smartphone Dermatoscope (DE-400) claiming its their "Lumoscope", with reading that it can't possibly do due to its image quality https://t.co/YVAn7Wt2Cx

[lmk @monkwithopinion]

@damnventures @brycent Best part is consumers pay to become their dataset

[lmk @monkwithopinion]

@notkevinzhang For clinic and patient document handling

[Mark Zuckerberg @finkd]

Last month I wrote about how we can build a positive and safe future for everyone: https://t.co/eoLGVY8yad

Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens.

The reality is:

- People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned.

There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.

- Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well.

Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built.

- Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators.

- Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well.

I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.