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Followers
218
Account age
1 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 Mike @ Misaligned Markets
📊 Post engagement
2
Avg engagement / post
0.9%
Engagement vs followers
Nov 2024
On Mastodon since
🔥 Top post: Repeatedly called language models “Grandpa Shelby” on my podcast · 3 likes + reposts
📊 Activity & format
Posting cadence
4.1 / week
Posts several times a week.
Content mix
Mostly text
Recent: 10 text · 2 image · 0 video.
Follower / following
0.6×
Follows 363 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
🔥 Top post
Repeatedly called language models “Grandpa Shelby” on my podcast The Last Enclosure. What the hell do I mean?
It's a clunky metaphor from my first blog post on LLMs @ Misaligned Markets. Breaks into three parts:
1. Anterograde amnesia (Leonard Shelby from Christopher Nolan’s Mem…
@pluralistic 3/
Within my podcast episode I genuinely feel out the concerns of people who are AI abstainers and insist that we follow them. They have important points. LLMs are a dark pattern designed to trick vulnerable users to deferrin…
@pluralistic 2/ In the episode I reference a taxonomy of LLM use cases I'm building to illustrate ones more likely to harm the user. The two axes are cognition and measurability. Tasks that completely offload cognition and aren't measurabl…
RE: https://mamot.fr/@pluralistic/116997210062423037
1/ Great post by @pluralistic. Great timing too. I just released episode 6 of my podcast The Last Enclosure where I talk about people like Doctorow who are trying to provide an escape va…
New episode of my #podcast The Last Enclosure is out! I talk about Sen. Bernie Sanders and how since the beginning of the year he's been doing a media tour with AI safety organizations. Did this influence his AI wealth fund proposal?
Come …
In the middle of a move so I’ve not published anything this month on Misaligned Markets, but 4th episode of my other podcast is out! We’re talking about the AI bubble, discussing analysis from my March post. https://youtu.be/7bl0iLqM0oo
#m…
RE: https://zirk.us/@MidniteMikeWrites/116880386752691798
Catch last week’s episode of The Last Enclosure putting AI boosters into different buckets to better understand where #aihype is coming from. #ai #technology #tech #technews
RE: https://zirk.us/@MidniteMikeWrites/116885838068621416
The history of technology can metaphorically be represented as competing train stations. AI’s history is mixed across different subfields suggesting that the next breakthrough might…
4/4 But even if a winter happens, LLMs will persist as a product. My thesis has been since I started working with them last summer that they'll have to be scoped well to be useful. This necessarily means big tech stops serving these as hum…
3/4 The railway for AI is pretty mixed. As a field it has a different series of tracks that have converged at times. But There's no telling where future progress might come from. It may involve building on old tracks or creating a new line…
2/4 As part of my analysis I created a visual metaphor. I imagined the linage of a technology's innovations as train stations along a route. The building of stations is a political act that requires social or monetary capital. Stations can…
1/4 One of the reasons I started discussing and writing about the AI bubble is because I took seriously the question of post-bubble residuals. No one was taking this seriously earlier this year. https://zirk.us/@MidniteMikeWrites/116523605…
3/4 The railway for AI is pretty mixed. As a field it has a different series of tracks that have converged at times. But There's no telling where future progress might come from. It may involve building on old tracks or creating a new line…
2/4 As part of my analysis I created a visual metaphor. I imagined the linage of a technology's innovations as train stations along a route. The building of stations is a political act that requires social or monetary capital. Stations can…
1/4 One of the reasons I started discussing and writing about the AI bubble is because I took seriously the question of post-bubble residuals. No one was taking this seriously earlier this year. https://zirk.us/@MidniteMikeWrites/116523605…
🐘 Community & instance
Home server
zirk.us
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
On Mastodon since
Nov 2024
An established account with real history on the platform.
💡 Facts
🗓️Joined Mastodon in 2024 — 1 year ago.
👁️Averages 2 views per post.
📤Posts about 4.1× per week.
🕵️ Fake follower check
Estimated61/100
Fair
Credibility score
84%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 84% real, active audience · Low fake-follower risk.
- Engagement (~0.9% of followers engage each post) is around typical for Mastodon.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
California native, chronic night owl, and writer managing a whole mess of personal projects (plus a sprawling homelab). Currently building https://misaligned.markets to discuss modern political economy. Previously ran a blog called Philosimplicity.
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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