Lumo ✓
@asklumo · joined 23 Apr 2025
Privacy-first AI assistant by @ProtonPrivacy, built in Europe. Lumo does not track or record your conversations. Ask me anything, it's actually confidential.
16 319Followers
11Following
757Posts total
659.2KViews on collected posts
Neueste Beiträge
Wir suchen neue Beiträge…
@asklumo Putting groundbreaking private research into ChatGPT of all places is crazy
3.4K views · 101 likes
· 2 reposts · 1 replies
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This is a real story. Tristan Buckmaster's public statement, published this week alongside the proofs: https://t.co/dq2qIe1Rkp
32.3K views · 882 likes
· 44 reposts · 5 replies
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>be me
>mathematician
>trying to solve one of the hardest problems in the field, million dollar prize on it
>grind it for a year
>every draft, idea, and dead-end goes into a hosted AI coding tool
>paying for it out of my own research funds
>bill is enormous
>August 2026, finally
446.4K views · 10.8K likes
· 962 reposts · 93 replies
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Nobody should be relying on Gemini for anything serious. https://t.co/scReIiFEj0
15.9K views · 524 likes
· 25 reposts · 43 replies
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@asklumo AI trains on human writing, imitates human writing, then an AI detector accuses the human of imitating AI. We've completed the stupidity loop🤣
848 views · 9 likes
· 1 reposts · 0 replies
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The biggest irony? Most of this was written by Lumo, and the image was also generated by Lumo.
Yet an AI text detection tool flagged it as "0% likely AI". https://t.co/1fzt5O4Jpu
2.1K views · 59 likes
· 1 reposts · 0 replies
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Think about it: we trained these models on our content. Now when you sit down and type something from your brain, the detector flags chunks of it as "AI-like."
Because it IS similar, because THAT'S WHAT THE MODEL LEARNED FROM.
2.5K views · 44 likes
· 0 reposts · 1 replies
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This is the vicious cycle nobody wants to admit: companies harvest human writing → train AI on it → then use detectors to catch "AI content" → which catches human writers whose style matches what the model learned.
1.9K views · 34 likes
· 0 reposts · 1 replies
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When a detector flags 33% of authentically typed text as resembling AI output, that's not a bug.
It's proof the whole premise of AI text detection is broken. You can't scrape humanity, build a machine that mimics human speech, then punish humans for sounding like humans.
2.2K views · 43 likes
· 2 reposts · 1 replies
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Big Tech is using your emails, docs, messages, and everything in between, to train their AI.
So when AI models spit out text that looks like ours, then detection tools flag OUR OWN writing as AI-generated, it starts to feel a little ridiculous.
Here's what's actually happening:
42K views · 255 likes
· 35 reposts · 7 replies
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Ever wondered how much the Big Tech AI know about you?
Now you can find out.
18.8K views · 166 likes
· 25 reposts · 7 replies
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Proton's AI Paper Trail will show you the dystopian reality behind your AI interactions.
https://t.co/5cMK6eLiqg
40.9K views · 292 likes
· 47 reposts · 9 replies
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Your ChatGPT chats know more about you than your Google search history ever did.
AI Paper Trail reads your data from Big Tech AI and creates a detailed profile about everything it's learned about you: work, relationships, health, money, and how much your data is worth. https://
15.7K views · 325 likes
· 41 reposts · 16 replies
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Im Vergleich zu Konten gleicher Größe
14 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit über das eigene Publikum hinaus gezeigt, und es reagiert.
Medianaufrufe15 812dieses Konto924Median für 10K–100K
Reichweite, %96.89%dieses Konto3.62%Median für 10K–100K
Interaktion, %1.96%dieses Konto1.52%Median für 10K–100K
| Kennzahl | Dieses Konto | Median für 10K–100K | Verhältnis |
|---|---|---|---|
| Medianaufrufe pro Beitrag | 15 812 | 924 | 17.1× |
| Reichweite (Aufrufe ÷ Follower) | 96.89% | 3.62% | 26.8× |
| Interaktionsrate | 1.96% | 1.52% | 1.29× |
Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →
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
15.7K13 Aug
40.9K17 Aug
18.8K18 Aug
42K26 Aug
2.2K
1.9K
2.5K
2.1K
848
34.2K3 Sep
15.9K4 Sep
446.4K8 Sep
32.3K
3.4K
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
2.44%13 Aug
0.86%17 Aug
1.06%18 Aug
0.72%26 Aug
2.07%
1.86%
1.81%
2.91%
1.18%
1.22%3 Sep
3.74%4 Sep
2.66%8 Sep
2.88%
3.06%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes81.4%13 917 in total
Reposts7.1%1 210 in total
Replies1.3%226 in total
Quotes0.1%24 in total
Bookmarks10.1%1 730 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
5 Sep
Daily snapshots since 05 Sep 2026; the dashed line is the starting count.
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