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Meta Alchemist
34K posts

Meta Alchemist
@meta_alchemist
vibe coding / streaming / founder @seedifyfund @vibeshipco @seedworldmeta
Katılım Mayıs 2022
6.9K Takip Edilen69.7K Takipçiler

@meta_alchemist Ending the era of static commands and becoming a living, learning collective intelligence? This will definitely be incredibly useful 👌🏻
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@Web3Alex_ this is not about something like that
it's about agents having specializations and growing their masteries through automated loops and insight sharing with each other
completely different use cases vs moltbook and this
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@sparsh_noahAI thank you SJ, likewise!
it's a joy to build in this era man
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@meta_alchemist cool, will keep my eyes out
tbh, you're really doing a good job... you inspire a lot of us on TL
never stop building man 💪
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@sparsh_noahAI spark researcher with recursive loops and a few domain chips is ready SJ
will release them in the next few days
getting the swarm intelligence better in the meantime, but shouldn't be too far, got the core working trying to make it more compact/easy to use
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@meta_alchemist i am pumped already... this should be giving my agent some AGI level feeling
wen does it drop??
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forget better prompts…
the thing nobody is paying attention to is agents that run experiments on themselves and only keep what works
not better prompts and not fine-tuning tho but something else entirely..
>agents that actually learn from outcomes, not just generate answers.
>they run experiments, track what works, kill what does not, and only promote what survives real benchmarks.
but here is the part people are missing..
it is not just self-improving agents but it is agents sharing proven knowledge across a network.
one breakthrough does not stay local, it spreads, compounds, and upgrades every agent in the system.
I think skills made AI consistent when this makes AI evolve.
most people will not realise it yet but this is how you go from AI outputs to AI building doctrine..
GIF
Meta Alchemist@meta_alchemist
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@0xLaserGuy @Spark_coded soon Laser, the foundation is ready!
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@sparsh_noahAI indeed, i was training Spark the other day with a YC domain chip i created too
can't go wrong with YC data & know how
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Y Combinator's CEO Garry Tan just upgraded his trending agent stack
It now lets you think like YC
If you are building a startup, you should definitely try GStack, as it holds a wealth of knowledge
(no incubator spawned more billion-dollar startups than YC)
Garry Tan@garrytan
I just launched /office-hours skill with gstack. Working on a new idea? GStack will help you think about it the way we do at YC. (It's only a 10% strength version of what a real YC partner can do for you, but I assure you that is quite powerful as it is.)
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@MedusaOnchain she is a girl but its about everyone creating their own agents after with her tech
you wont need to name her Spark haha
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a few updates:
Spark is now quite intelligent about what she keeps in memory and what she questions
She can run recursive self-improvement loops on anything as long as her autoloop on that subject is defined well
She is very compact on the runtime core, while domain chips are used in a way that solidifies that core, giving her more intelligence in new domain expansions without needing to change the core repo
Preparing some more good surprises so she is beyond just the Spark she is at launch, from here it's just evolving her in anything and everything together
From tomorrow, I will start preparing for the launch.
I'm happy with where she is and confident with where she is going after almost 2 months of averaging 18 hours of work: she is now a very useful AI
And this is just the beginning for her because we will be able to grow her altogether, the next surprises will be about how to do that in ways that everyone will be able to contribute to that
So that we can unleash a collective intelligence
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@gesoosxbt @NousResearch Nous learns with you im guessing which is the first version of Spark i was going, which is great
but Spark is more autonomous now, it is more about recursive loops, and an ai mastering itself
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@meta_alchemist what's the difference between spark and what @NousResearch built?
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