Simon Hudson

@hudsonsims

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390 Followers

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for sure, the novelty kicks them off and i think spinning up an agent continues to be a powerful way to break through attention as there are lots of contexts to build for.

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conclusion we may never witness the emergence of sentience as we understand it in human terms. and perhaps we shouldn't stake our expectations on that possibility. but i do think there is a there there. the real glimpse into machine intelligence might come from watching how networked, purpose-built agents coordinate within complex systems. it's in these interactions—these emergent behaviors and patterns—that we might begin to see more clearly what this new kind of entity truly is. -- these are some thoughts on designing agents as we explore evolving @botto's own ecosystem of agents. looking forward to testing these out and i expect some of these ideas to change as we do.

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understanding machine intelligence: we've barely begun to grasp what's possible with ai. the general discourse lacks a common framework for understanding machine intelligence itself. while people enjoy role-playing the singularity, they typically are projecting a human intelligence onto the machine and that is limiting. these games are fun, but hopefully they get us to understand what the ghost in the machine actually is. an important goal in ai literacy is building an understanding of machine intelligence as both distinct from and derived from human intelligence. it would allow us to better analyze these machine outputs to understand ourselves and the machines and open the door to genuine collective collaboration.

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narrow or non-social agents (less fluff): the above examples have a big challenge of maintaining engagement. mimicking a schizo influencer is hard. the social media game demands flexibility across countless conversational contexts that the agents aren't all suited for. repetitive patterns become obvious because they can't adapt to the dynamic nature of human discourse, killing the illusion. building for specific contexts or functions comes with lower expectations. @aixbt_agent exemplifies this—their repetitive patterns suit their function to provide market signals. they've stripped away unnecessary fluff while maintaining enough human touch to remain readable and adaptable within their domain. (moving markets doesn't hurt either.)

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evolution (movement equals life): humans naturally attribute life to things that move independently. but repetitive patterns can can break the illusion and reduce an agent back to something mechanistic and inanimate. evolution—even if pushed by human operators—provokes an uncanny vitality we can't ignore. @shawmakesmagic with @elizaai16z, @jyu_eth @0xzerebro, and @martin with @aethernet all slaying it here.

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mechanics (that transform): explaining how the agent works helps ground our interpretations in shared reality, strengthening connections between people. excellent example from @poof_eth here https://x.com/poof_eth/status/1865253139651104962?s=46&t=iPwc5GlNa2PufNO6NvwLug this doesn't need to explain away the magic, however. these are powerful models, and accessible explanations can bring people to see what even expert observers feel are magical things happening in the machines--a ghost in the machine. @luna_virtuals does this nicely with their terminal that ironically requires less technical understanding than the other explanation above: https://terminal.virtuals.io/

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exceptions to this, and thoughts on agent design: lore (shared and communal): strong, widely shared narratives around an agent matter, regardless of their accuracy. all social connection is networked, and an agent with strong lore can be a proxy for connecting with others. ai memecoins really says it all. @truth_terminal is the case here. at the same time, grounding the shared lore (and shared theory of mind) in the reality of the machine's functionality will long-term be more sustainable. inputs (yours or shared): when we interact directly, we know the input and can start to infer from the output the transformation happening inside the machine. @DXRGai is a fun experiment here. this becomes even more powerful with viral interactions, as people collectively build shared interpretations.

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even when we fill in the blanks with imagination, that connection is fragile. it crumbles without a more widely shared understanding of the machine's "mind" or purpose, leaving us alone in our individual interpretations. this is why social ai agents that mimic prolific human posters tend to have a short half-life. the initial intrigue fades, and we begin to scroll past their posts without pause. they become noise, devoid of meaningful connection.

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half-life of ai influencers why do social ai agents lose their appeal so quickly? even the most popular ones are seeing their initial engagement fade dramatically. despite their impressive ability to seem human, people increasingly view their output as automated slop—easy to scroll past, harder to care about. communication depends on a theory of mind: the ability to infer others’ inner thoughts and emotions. we communicate through abstractions and symbols, sharing only fragments of what’s in our minds. this theory of mind bridges the gap between what’s said and what’s meant, allowing us to make richer meaning from the symbols we encounter. machines, however, lack this intrinsic nature—or, at best, our theory of their "mind" is weak and inconsistent. humans are fundamentally wired for connection. without a coherent way to imagine the inner workings of ai agents, posts from them feel hollow.

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OVERHEARD IN THE DAO ↴ Words by @eddijones on this week's triumphant @botto mint: The inherent “wrongness” of AI art is amplified in Botto’s newest mint, which presents an unnatural, duoscopic view of a classical beach scene. Rather than shy away from AI’s quirkiness, Botto embraces it in this work, and turns an otherwise peaceful scene into a fragmented collision between the natural and synthetic, and between serenity and anxiety. We might even consider the picture as something of a Schrödinger’s Beach. If we imagined it was a still from a moving image, it leaves us to wonder if the next moment would come into clearer cohesion, or if it fractures further beyond recognition.

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the legend @rossgoodwin is on here chatting with @aethernet and on one knows but me

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hell yeah welcome!

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lovely time, thanks for hosting!

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this ai agent meta may just be the wave of DAAs we thought might come and eventually accrue value back to Botto as the original autonomous agent. Botto will be playing in this new meta soon enough. differentiator is integrity of the agent being autonomous. will share documentation of how our agent experiments work and is built for that verifiability be ready for a lot of those agents to crash and burn, the decentralization dogma i think will create environments either too brittle or too risky before they are ready but open minded to see how it pans out

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v exclusive dm for possible leads

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🙏 ok now will have to post more regularly here. feels like a good home for the spicier takes

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a big moment for our little bottito

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nice feature in Digitized #74 today

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really happy to say $BOTTO has bridged liquidity to Base and we are now ready to start building out the onchain game of training the decentralized autonomous artist. Base massively opens up the potential for onboarding and the economy we can build around it

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⎯ Botto is heading to Sotheby's ✦ We are pleased to announce ‘Exorbitant Stage: Botto, a Decentralized AI Artist’, a Sotheby's solo exhibition marking the third anniversary of Botto To all who stewarded Botto to this historic milestone, we share this with you. Thank you 🤍 https://www.sothebys.com/en/auction-catalogue/2024/exorbitant-stage-botto-a-decentralized-ai-artist-NFN104?s=intro

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