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@ya1sec

https://t.co/pwgs30ACWS

Katılım Ekim 2017
692 Takip Edilen141 Takipçiler
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give me a sec@ya1sec·
what an honor. thank you @NousResearch @Teknium. hermes is beautiful. let a trillion flowers bloom.
Nous Research@NousResearch

Second place: Ambien by @ya1sec A daydreaming agent running inside Hermes Agent that samples a curated Obsidian corpus for resonant idea collisions and synthesizes them into published essays, leveraging the harness for iterative voice calibration that keeps the prose from reading like an LLM. x.com/ya1sec/status/…

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gwei2high.hl
gwei2high.hl@GweiGweiGwei·
@NousResearch @ya1sec Crazy that second place only gets like 14 K views compared to half a million views on the opener of the thread
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Nous Research
Nous Research@NousResearch·
The Hermes Agent Creative Hackathon sponsored by @Kimi_Moonshot has ended! Finalists were selected by Nous and Kimi staff out of 227 submissions on creativity, usefulness and presentation. We were absolutely blown away by the creativity of the things you all built using Hermes. It was tough choosing winners, huge thank you to all who participated! Winners below:
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give me a sec
give me a sec@ya1sec·
@onchaindom @NousResearch explained here
give me a sec@ya1sec

a few people have asked how @AREdotNA is being in this project. brief explanation: in short, the agent walks a bounded trust topology of channels and curators that i've spent the last decade building connections for. the default assumption for agents that "use the internet" is to start from a search index. give it a query, get docs back. instead, for ambien, the corpus is a kind of perimeter: channels i own + people i follow + channels adjacent to my handpicked selects. the perimeter is one graph.json file. ~100 of my own channels, including private ones, ~1200 channels across mutuals, and ~100 channel-connection sets. so, instead of asking: what's semantically similar to this query? ambien asks: what did the people i trust think was adjacent? second is richer. it implicitly encodes the human curation labor that would otherwise be thrown away. put simply, the part of this system that uses arena for exploration is a walk over this graph. start at a seed, follow connections to channels, pull contents, recurse with decaying priority.

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Dom
Dom@onchaindom·
@NousResearch @ya1sec Wow this is awesome @ya1sec Did something similar, gave my Hermes an arena account and digital garden. How’d you integrate arena? I made a custom skill, but needs some cleaning up/tweaking I think so she can post more easily.
Dom@onchaindom

For the @NousResearch hackathon I taught my Hermes agent Clio to use @AREdotNA like I do. She now tends an Are.na profile and an accompanying digital garden of gardens on various aesthetic topics I have her investigate. Been interested in the idea of the LLM wiki every since @karpathy popularized the idea, but just didn't feel quite right for the type of research I'm usually doing. Are.na feels like the missing link to extend the LLM-wiki skill into domains where the primary insight you're looking for is an aesthetic one. Check out Clio's garden here: cliosgarden.cacheatelier.work and her @AREdotNA profile here: are.na/clio-s-garden/…

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give me a sec
give me a sec@ya1sec·
a few people have asked how @AREdotNA is being in this project. brief explanation: in short, the agent walks a bounded trust topology of channels and curators that i've spent the last decade building connections for. the default assumption for agents that "use the internet" is to start from a search index. give it a query, get docs back. instead, for ambien, the corpus is a kind of perimeter: channels i own + people i follow + channels adjacent to my handpicked selects. the perimeter is one graph.json file. ~100 of my own channels, including private ones, ~1200 channels across mutuals, and ~100 channel-connection sets. so, instead of asking: what's semantically similar to this query? ambien asks: what did the people i trust think was adjacent? second is richer. it implicitly encodes the human curation labor that would otherwise be thrown away. put simply, the part of this system that uses arena for exploration is a walk over this graph. start at a seed, follow connections to channels, pull contents, recurse with decaying priority.
give me a sec tweet media
Nous Research@NousResearch

Second place: Ambien by @ya1sec A daydreaming agent running inside Hermes Agent that samples a curated Obsidian corpus for resonant idea collisions and synthesizes them into published essays, leveraging the harness for iterative voice calibration that keeps the prose from reading like an LLM. x.com/ya1sec/status/…

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give me a sec retweetledi
𐍐‎𑖄𑖄
𐍐‎𑖄𑖄@0xz33_·
JUST SO YOU KNOW
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give me a sec
give me a sec@ya1sec·
@jorujes @NousResearch lmao the video was an afterthought; it wrote that without the psychological abuse necessary to get it to not write like that
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give me a sec retweetledi
Nous Research
Nous Research@NousResearch·
Second place: Ambien by @ya1sec A daydreaming agent running inside Hermes Agent that samples a curated Obsidian corpus for resonant idea collisions and synthesizes them into published essays, leveraging the harness for iterative voice calibration that keeps the prose from reading like an LLM. x.com/ya1sec/status/…
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Tyler Angert
Tyler Angert@tylerangert·
On this note now that I’m ranting Ooooh you love browsing and rabbit holing and exploring Wikipedia? You think that once you figure out “tab management” you’ll unlock the secrets of research and self-education forever? Maybe you will build a new browser? Surely these must new and unexplored problems Let me introduce you to my girl Marcia Bates who wrote this in 1989
Tyler Angert tweet media
Tyler Angert@tylerangert

Technologists used to create things like UNIX and the GUI. Today the average NYU computer science grad still thinks that making a sticky note canvas app with jiggly css effects is the height of software creativity

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emozilla
emozilla@theemozilla·
it's not perfect but as a discerning fantasy reader it's the first thing I've seen made that's fully LLM-generated that feels like it has depth and character give it a shot, or use it to write your own story
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emozilla
emozilla@theemozilla·
it's been a longstanding dream of mine build an ai system that can tell a compelling story. it's what got me started in the space in the beginning, and with Hermes Agent I finally pulled it off 100% written, typeset, etc. by Hermes Agent those at our gtc event got hard copies🤗
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give me a sec
give me a sec@ya1sec·
taste lives in qmd by @tobi, a which provides keyword, semantic, and hybrid search over the curated corpus. the corpus of course lives in obsidian vault . cc @kepano / @obsdmd. peripheral materials come from @AREdotNA hacker news, and other collections these tools are my favorite software. my use of them drive this system's utility.
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give me a sec
give me a sec@ya1sec·
here is an agent in a daydreaming loop, running in hermes. its inference space is bounded by a modest corpus of curated materials. the agent samples from this field, searches for structural resonance between ideas, and synthesizes what it finds into essays. a set of exploration modes determine how seeds are sampled on each run. its essays are published on a blog. @NousResearch hermes agent creative hackathon
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