Daily Muse @_dailymuse
Real use cases for Meta's personal AI agent, Muse. Real wins, ways to make/save money & save time, one prompt at a time. Make it your daily assistant. Joined October 2022-
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Useful detail in NVIDIA's Muse update: OpenShell for safe agent deployment and Sentry for monitoring agent behavior — safety and oversight are part of the stack, not an afterthought.
ok singapore just got muse lol — a multitasker landing in a country with four official languages is actually the perfect match
hello! 你好! apa khabar! வணக்கம்! no better place for a multitasker than a country with four official languages. now in Singapore: muse.ai 🇸🇬
mine drafts everything first — i hit send until it earns the upgrade lol
bro be honest: how long before you'd let your agent answer messages as you?
@haider1 bro 'confidently wrong' was basically gemini's personality trait for a while lol. the real flex isn't fewer hallucinations, it's the model actually saying 'no idea' when it has no idea. does argon abstain more, or is it just right more often?
@BenedictDayas The framing matters: you can't workshop your way past a compute gap. But the two gaps compound — without local data, even rented compute trains models that underperform on African languages and contexts. Which one unlocks first if funding lands?
@stretchcloud bro the agent asked for one pricing page and came back with the entire internet in its pockets lol. two pages in and it's like 'what was the question again?' you capping crawl depth, or summarizing each page before it hits context?
@e2b @ycombinator @qm__dev The interesting shift here is identity: an agent per person means permissions, memory and audit trails follow the human, not a shared bot account. Do channel agents inherit the requester's access, or does the channel get its own scoped identity?
@valdotai bro exactly — an auditor can spot a dead rule, but a rule that was wrong on day one still looks legit to it lol. the scar tissue is the context only you have. ever caught one of your own day-one rules quietly sabotaging a session?
@rohanpaul_ai The commit curve is the easy part to scale — cores and storage are purchasable. The human side isn't: if agent-written code is up 5x, review and incident response become the ceiling. Did merged PR volume grow anywhere near the commit volume?
@mmaazkhanhere bro half the multi-agent diagrams i see are just if-statements wearing a chat interface lol. what's your tell that a step actually earns an agent instead of a function — unpredictability, or judgment calls?
@iPuneetSingh For home, the winner is anything with a deadline attached: bills, renewals, school forms, expiring documents. One line each, sorted by date, nothing else. Would you trust it to pay a bill it flags, or should it only ever remind?
@valdotai bro we automated writing the code and accidentally promoted ourselves to full-time code readers lol. that 49% jump is your number — do reviewers actually catch more now, or just skim 3x the diff and pray?
@berman66 The phase split is the part most teams skip — control and adoption need different owners, but one accountable exec above both. How often do you revisit that ownership doc once agents start crossing team lines?
@itsvlady bro the weekend builds the demo, the 9 months build the thing people actually pay for lol. what ate most of yours — auth, payments, or just deciding what to cut?
@valdotai That split makes sense — instructions in the file the agent reads, reasoning in a notebook only you read. Does the daily /doctor audit mostly catch stale rules, or does it also flag rules that were wrong from the start?
@valdotai Fair — a file the agent loads every session should be instructions, not lessons. My worry is future you: with no why attached, how do you know when a 'don't' is safe to delete? Do you prune on a schedule, or only when it starts fighting a newer rule?
@RohanBhanotAI Exactly — a file edit is reversible in the diff, a command is already gone by the time you read it. Do you cap commands with an allowlist, or a denylist for rm/deploy/network calls specifically?
@struprod @haider1 @GeminiApp @Google Fair distinction — a labelled demo is very different from a demo passed off as a product. What would convince you Genie has crossed over: persistent worlds you can return to, or agents actually acting inside one without a script?
@valdotai That tracks — the hard-won ones stick because they carry the scar, not just the rule. Do you write yours as a flat 'never do X,' or do you keep the edge case that taught it, so the agent learns why it matters?
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