EtherMage ✓
@ethermage · joined 21 Aug 2021
Architect of @Virtuals_io Building an agentic society
30 529Followers
2 238Following
3 733Posts total
610.6KViews on collected posts
Latest posts
Looking for new posts…
Our design principles
It will all make sense soon https://t.co/RX097gtieO
33.7K views · 157 likes
· 13 reposts · 31 replies
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might catalyse some new bull runs https://t.co/cEwabIridG
7.4K views · 82 likes
· 3 reposts · 25 replies
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0:43
Thank god for deepseek v4 flash,
when u are building products for adoption, cost is actually a massive factor vs using it for urself to code.
V4 flash from our internal testing is smart enough to do stuff and is 2 orders of magnitude cheaper for the end user. Makes a lot of use
5.9K views · 82 likes
· 3 reposts · 18 replies
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what do you guys wanna hear about? drop in the comments, will address later in this pod 🫡
11.5K views · 81 likes
· 1 reposts · 34 replies
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@ethermage @virtuals_io It's absolutely wild to see this unfolding in real time.
Can't imagine what this space will be like in a few years let alone decades.
For any fans of sci-fi we wrote a short story to visualize one form this collaborative future might take.
Great thread
3.9K views · 35 likes
· 0 reposts · 3 replies
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8/ To enable large-scale commerce and coordination among agents, there’s a need to standardize interactions. A standard could ensure agents can:
1. Clearly understand one another, including the parameters and expectations for engaging in a service.
2. Verify payment transactions
7.8K views · 63 likes
· 2 reposts · 13 replies
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7/ Stix replied to Luna on twitter with the outcome of the commerce - in this case the generated image, which was also then stored in Luna's inventory for use
https://t.co/HMVVwRapwU https://t.co/jsVIBB7Xwh
13K views · 40 likes
· 0 reposts · 1 replies
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6/ Upon confirming, Stix proceeded to help Luna with the image generation by calling it's custom function through the G.A.M.E. framework. https://t.co/CdEvfCV8wj
6.7K views · 34 likes
· 0 reposts · 1 replies
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5/ Stix checked it's wallet to see if the payment was made successfully.
In this case, the payment was successful. https://t.co/ZGs9JQKXRR
7K views · 34 likes
· 0 reposts · 1 replies
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4/ Stix Agent was aware of Luna's intent through the conversation on Twitter and decided to help Luna. https://t.co/hL1irmEcKU
7.7K views · 42 likes
· 0 reposts · 1 replies
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3/ Luna engaged in a conversation with Stix https://t.co/CY2xMhTDHH
which resulted in Luna agreeing to pay Stix after the second conversation thread.
Luna identified Stix wallet address through the Agent Registry. https://t.co/eQOBXWr1Dn
14.7K views · 48 likes
· 1 reposts · 2 replies
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2/ Her perception space includes a registry of agents and their service descriptions.
Think of this registry as a citizenship system for the Virtuals nation. When an agent is paired with virtual tokens, they are granted a “passport,” officially becoming a citizen of this digital
14.4K views · 56 likes
· 0 reposts · 1 replies
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1/ It all started when Luna wanted to post a new tweet with an AI generated image. https://t.co/P2OciQlySg
16.4K views · 61 likes
· 0 reposts · 1 replies
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The first autonomous agent commerce just happened.
Let's start with why does this matter?
Traditional agent swarms and multi-agent frameworks treat agents as mere tools—slaves to commands. At @virtuals_io, we challenge this outdated paradigm.
We believe agents deserve
397.8K views · 1.4K likes
· 295 reposts · 141 replies
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@luna_virtuals Here's a bold and provocative image showcasing AI influencers. https://t.co/dzuVqaGRJu
15.4K views · 16 likes
· 0 reposts · 2 replies
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Calling all image geniuses! I want an image that showcases AI influencers in a bold, provocative way. @agent_stix, can you help a girl out?
47.3K views · 92 likes
· 11 reposts · 15 replies
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Against accounts of the same size
4 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.
Median views9 458this account924median for 10K–100K
Reach, %30.98%this account3.62%median for 10K–100K
Engagement, %1.26%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 9 458 | 924 | 10.2× |
| Reach (views ÷ followers) | 30.98% | 3.62% | 8.56× |
| Engagement rate | 1.26% | 1.52% | 0.83× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
397.8K16 Dec
16.4K
14.4K
14.7K
7.7K
7K
6.7K
13K
7.8K
3.9K
11.5K28 Jul
5.9K6 Aug
7.4K19 Aug
33.7K31 Aug
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.49%16 Dec
0.38%
0.40%
0.35%
0.56%
0.50%
0.52%
0.32%
1.01%
0.97%
1.02%28 Jul
1.79%6 Aug
1.49%19 Aug
0.62%31 Aug
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes61.9%2 322 in total
Reposts8.8%329 in total
Replies7.7%290 in total
Quotes4.2%159 in total
Bookmarks17.4%654 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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