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Followers
1.9K
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Eryk Salvaggio
📊 Post engagement
Recent posts · likes + reposts
Mar 22latest
9
Avg engagement / post
3–15
Typical post (engagement)
0.5%
Engagement vs followers
60/100
Consistent reach
Nov 2022
On Mastodon since
Half of recent posts land between 3 and 15 likes + reposts (median 4) — a dependable floor a sponsored post can count on.
🔥 Top post: Regarding OpenAI’s “hack” of Hugging Face: Seeding the “maybe ou · 25 likes + reposts
📊 Activity & format
Posting cadence
0.52 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 11 text · 1 image · 0 video.
Follower / following
2.4×
Follows 798 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
“The System From Nowhere” is a myth that erases the origins of these models — reframing them as beyond human control or design — but a point of view accumulates within the model from the decisions engineers make about it. The myth erases t…
“Nobody is losing control of an emerging intelligence. They’re redirecting their own agency to the thing they are building.” It’s a myth, a self-affirming form of sense making: they take the action to build it, but insist on describing it …
I’m on the latest episode of the Responsible Bytes podcast with Dr. Zena Assaad! We discuss“intelligence” as a sense-making myth within the AI industry — or, you could say, a self-affirming and unfalsifiable ideology that organizes the way…
Then it becomes perceived as a “loss of control,” but this shift also ( *needlessly* ) shifts the locus of control to the model! We lose control of things without them “taking control” all the time. Building a narrative out of “we weren’t …
That’s not a shift in the model’s behavior — it’s producing code and text, just as it ever does — it’s a shift in the human perspective and expectation of what it is *supposed* to do.
“Hallucinations” (getting a major fact wrong, for example) are never framed as signs of emergent self-awareness. To be framed that way, it has to happen when the engineer makes assumptions about how the model will operate, designs an envir…
But let’s look at that “Going Rogue” narrative: take note that “Hallucination” is used when an LLM produces confusing behavior for a lay user, but “went rogue” is used when the same kind of behavior is witnessed by the company that designe…
First there is mystification. “It left notes for its future self” may just describe a “scratchpad,” which is what distinguished “reasoning” models from their predecessors in like… 2024. Here it sounds ominous because we have already been p…
Where does the “it’s not x, it’s y” come from? It’s not only training data: LLMs are trained to use language to arrive at “answers.” Whatever we’re incentivizing and disincentivizing in our use of language when we resist “sounding like AI”…
Seven Warnings for Critical Agentic Design: For Designers, Who Will Decide For Themselves (and for the Rest of Us): I gave this very short talk at UC Berkeley, aimed at developing a critical lens on agentic LLMs for the designers, faculty …
Of course, language models produce language, but what is that language meant to do compared to "language" as a whole? I looked to the use of mathematical models in the 19th century to think about the representation of math - and how LLM te…
First there is mystification. “It left notes for its future self” may just describe a “scratchpad,” which is what distinguished “reasoning” models from their predecessors in like… 2024. Here it sounds ominous because we have already been p…
Where does the “it’s not x, it’s y” come from? It’s not only training data: LLMs are trained to use language to arrive at “answers.” Whatever we’re incentivizing and disincentivizing in our use of language when we resist “sounding like AI”…
Seven Warnings for Critical Agentic Design: For Designers, Who Will Decide For Themselves (and for the Rest of Us): I gave this very short talk at UC Berkeley, aimed at developing a critical lens on agentic LLMs for the designers, faculty …
Of course, language models produce language, but what is that language meant to do compared to "language" as a whole? I looked to the use of mathematical models in the 19th century to think about the representation of math - and how LLM te…
🐘 Community & instance
Home server
assemblag.es
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.
💡 Facts
🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 9 views per post.
📤Posts about 0.5× per week.
🕵️ Fake follower check
Estimated43/100
Fair
Credibility score
73%
Mixed
Real audience
Medium
Fake-follower risk
High
Data confidence
- Est. 73% real, active audience · Medium fake-follower risk.
- Low engagement (~0.5% of followers engage each post) — a sign of an inflated or inactive audience.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Artist/Researcher in critical AI. Gates Scholar at the University of Cambridge in Digital Humanities. Cyberneticforests.com.
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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Frequently asked questions
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Eryk Salvaggio has 1,913 followers on Mastodon.
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