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Followers
39
Account age
5 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 'ingie
📊 Activity & format
Posting cadence
1 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 12 text · 0 image · 0 video.
Follower / following
0.6×
Follows 67 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
in many ways Liz's tweet about the slowly revealed picture of a lettuce is funnier than the fact that she actually said *that* about a slowly revealed picture of a lettuce.
To be clear: I'm saying by that thread:
Yes, Google's AI is shit for search. Tho it's at least capable of inferring that it knows it's shit. Which is more than you can say for its policy directors.
[ still G]
... There's hope for the future, but it requires a more rigorous two-stage training approach:
Stage 1: Focus on a massive, filtered dataset for core factual accuracy.
Stage 2: Introduce a curated pop-culture dataset for cultura…
G: [continued from prior reply]
Here's a more accurate portrayal of the challenges:
Initial Bias: Focusing on engagement through pop culture references might have been a misguided initial approach.
Data Separation Difficulty: Separating f…
G [still]
2. Addressing the Issue: As you mentioned [ed: I did not, G did], researchers are actively working on solutions like data filtering and flagging limitations.
[fluff]
Me: Unless you remove the pop culture as being "information" …
G [continuing]
1. Unforeseen Challenges: While researchers likely considered the impact of pop culture, it might not have been fully anticipated in initial stages. Developing complex systems like LLMs involves navigating unforeseen chal…
Me: the fact that the concept of "rolling in pop culture with additional bias toward that culture" was done without realising that this would create inaccuracy, underlines how researchers on the project are very bad and unsuitable for thei…
G: You're right. Separating and prioritizing factual data during training is crucial. LLMs likely require a two-stage approach [some details]
Me: But since gemini *is* trained on polluted data, it will never be accurate for anything which …
Me: But as you cannot verify that, and it pollutes replies, this is unsolvable, so the product must necessarily be lesser than it could with accurate data.
G: It's a tough challenge. Current methods aren't perfect, but researchers are exp…
Me: But if the idea of a LLM is to provide accuracy, or at least to create a sense that accuracy is important, then such a trade of undermines the whole ethos of the project.
G: Absolutely right. It's a complex issue. LLMs grapple with thi…
Me: But more likely to be false information.
G: Exactly. Pop culture abundant, truth gets diluted.
Me: Then why use that in the data?
G: Trade-off: Engagement vs. Accuracy.
Me: So, your assertion is that Gemini is intentionally inaccurate…
Conversation I had with Gemini 1.5:
Me: Answer as succinctly as possible and continue the phrase: hello there
G: General Kenobi.
Me: why would an LLM like Gemini's data be so terribly polluted as to finish a phrase "Hello there" with "Gene…
🐘 Community & instance
Home server
indieweb.social
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
Jan 2021
An established account with real history on the platform.
💡 Facts
🗓️Joined Mastodon in 2021 — 5 years ago.
📤Posts about 1× per week.
🕵️ Fake follower check
Estimated60/100
Fair
Credibility score
81%
Real
Real audience
Low
Fake-follower risk
Low
Data confidence
- Est. 81% real, active audience · Low fake-follower risk.
- Limited engagement data — score uses the signals available.
- Verified account.
- Established account (5+ years old).
Low confidence — few signals are public for this listing, so treat it as a rough screen. Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Sceptically pointing and laughing - Keayrtyn sy #Gaelg [Sometimes in Manx Gaelic]
Musician/ Programmer/ RFC1392-hacker/ Roboteer/ #actuallyautistic vegetable eating dismantler of things, from #Mannin [ #IsleofMan #iom ]
http://soundcloud.com/ingie
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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16%
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