𝚑𝚎𝚗𝚔 𝚟𝚊𝚗 𝚎𝚜𝚜 ✓
@henkvaness · Have Mac, will travel #osint · joined 07 Jun 2008
Cutting through #AI for sharper investigations. Workshops worldwide. Trusted by Pulitzer winners, law makers and NGOs. Mediadetector https://t.co/A7pkSs4VDY
55 603Followers
9 328Following
38 673Posts total
5.1MViews on collected posts
Son gönderiler
Yeni gönderiler aranıyor…
@iporollo When can we expect the results of the GLM 3.5 Flash Hackathon?
1.5K views · 1 likes
· 0 reposts · 1 replies
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@Zai_org When do we get to see the results of GLM 3.5 Flash Hackathon organized by @CelebralValley ?
1.3K views · 0 likes
· 0 reposts · 0 replies
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The full research tool is now on GitHub https://t.co/EBPlTOMYIZ
102 views · 1 likes
· 0 reposts · 0 replies
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By breaking down the language barrier between government aviation data and the public, https://t.co/8F1mlq7N3z empowers families of victims with the clear, understandable information they deserve. It's also a research tool for reporters and scientists. (5/5) https://t.co/xsH68ol
524 views · 98 likes
· 0 reposts · 2 replies
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The new https://t.co/8F1mlq7N3z opens that archive. You can search thirty years of FAA service difficulty reports, from 1995 to last week, by airline, tail number, aircraft type, part, system code or keyword. A model reads each mechanic's write-up and says in plain language what
343 views · 2 likes
· 0 reposts · 1 replies
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Every day, aircraft mechanics file service difficulty reports with the FAA: a cracked bracket, a failed sensor, corrosion found on inspection. The reports are public. They are also close to unreadable — buried behind a government query form, written in trade shorthand, returned
258 views · 101 likes
· 0 reposts · 1 replies
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The result: https://t.co/mNtHF5urXR
The reason why I made it: https://t.co/0w7xk9WcaB
The method: https://t.co/bqKXrO7tw3 (2/2) https://t.co/YqbGxLLhC2
612 views · 104 likes
· 0 reposts · 1 replies
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The invoice says $1.07. Two days of prompting a cheap model, GLM-5.3 Flash from https://t.co/qHKOs2YbPv and the service runs. This is what the price of building software looks like now. https://t.co/AqyUMY76ef
2.7K views · 1K likes
· 4 reposts · 1 replies
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Bad intentions don't hide in the headline. They hide in clause 47.
Document Whisperer, a project I am working on, goes looking for them — for reporters, researchers, lawyers and verification nerds. It started as FlipSide, my @claude challenge tool: https://t.co/BmIpqkTaH3 (1/5) h
2.1K views · 17 likes
· 4 reposts · 0 replies
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@hive_ai @NewsFromGoogle Thank you internet. Thank you. Nano Banana 2 removed from Google Earth
https://t.co/N3Q00lwZAW https://t.co/ChJPLAcyAt
13.2K views · 196 likes
· 30 reposts · 7 replies
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@hive_ai @NewsFromGoogle It's a strange world.... the fake image is not seen as fake, but there is some fake sound in a clip that has no sound. https://t.co/fdkno17qP6
41K views · 573 likes
· 46 reposts · 3 replies
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The most worrying, automated response comes from @hive_ai https://t.co/xR5ZsHupzw Look Henk, your fake crows is not fake! @NewsFromGoogle
68.4K views · 483 likes
· 43 reposts · 1 replies
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Google responded with https://t.co/YrZKjqTDvo
77.3K views · 586 likes
· 75 reposts · 3 replies
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@henkvaness Hive analyzed this post using Hive's AI / Deepfake detection models.
"@hive_ai is this AI generated" to check any content!
https://t.co/FpQ9OsFOth
AI Generated Video: 1%
AI Generated Speech: 0%
AI Generated Music: 36%
Deepf
90.2K views · 24 likes
· 3 reposts · 0 replies
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@henkvaness We take misinformation seriously – every image created with Nano Banana in Google Earth includes the SynthID digital watermark, so if someone is unsure about an image, they can ask the Gemini app or use Lens in Search to see if the image was AI-generated. In addition,
414K views · 172 likes
· 26 reposts · 260 replies
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@henkvaness @Disney @Disneyland I was excited to go to Disneyland with my kids, but I saw on @googleearth that you have added an Epstein Island attraction? Why would you do that? I am never spending money on any Disney product or parks ever again https://t.co/ebut8UihUG
149.8K views · 2.1K likes
· 89 reposts · 12 replies
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The refugees I planted tonight are still sitting on that road. The nuclear plant is still in Iran. They only need to escape this page once, and some of you would believe them. (5/5) https://t.co/07mrHmCU73
105.2K views · 1.3K likes
· 92 reposts · 11 replies
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The announcement of 487 words, written by Bryan Horowitz, Product Manager, Google Earth from just a few hours ago baffled me. His instruction to the planet is seven words long:
type whatever you want to see
That is the gate. That is the whole gate.
Elsewhere in the same post h
122.2K views · 1K likes
· 110 reposts · 5 replies
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You open Google Earth. You zoom to any coordinates on the planet. You click create image. You type what you want to see. Like this fake hospital and bomb crater in Gaza I just made. What?? (3/5) https://t.co/D84BeIgkzZ
190.8K views · 1.7K likes
· 148 reposts · 19 replies
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Google Earth on the web now has image generation built in, powered by Nano Banana 2. It went live today, worldwide, for everyone, with no waitlist and no application. (2/5)
269.5K views · 1.8K likes
· 141 reposts · 6 replies
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Tonight I typed just one sentence into Google Earth and put refugees near the Mexican border. Then I planted a nuclear plant in Iran. What on earth is Google doing? Check my latest post here: https://t.co/N0h6CVECqS https://t.co/WSjdcEXWJx
3.5M views · 7.4K likes
· 1.3K reposts · 161 replies
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Aynı büyüklükteki hesaplara karşı
Son 90 güne ait 21 gönderi, 10K–100K takipçi aralığıyla yan yana. geniş kitleye gösteriliyor, ama izleyenlerin azı tepki veriyor.
Medyan görüntülenme40 994bu hesap88010K–100K için medyan
Erişim, %73.73%bu hesap3.33%10K–100K için medyan
Etkileşim, %0.97%bu hesap1.97%10K–100K için medyan
| Ölçüt | Bu hesap | 10K–100K için medyan | Oran |
|---|---|---|---|
| Gönderi başına medyan görüntülenme | 40 994 | 880 | 46.6× |
| Erişim (görüntülenme ÷ takipçi) | 73.73% | 3.33% | 22.1× |
| Etkileşim oranı | 0.97% | 1.97% | 0.49× |
Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →
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
90.2K31 Jul
77.3K
68.4K
41K
13.2K
2.1K21 Aug
2.7K31 Aug
612
258
343
524
102
1.3K4 Sep
1.5K
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
0.03%31 Jul
0.86%
0.77%
1.52%
1.79%
1.01%21 Aug
38.33%31 Aug
17.16%
39.53%
0.87%
19.08%
0.98%
0.00%4 Sep
0.14%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.97%.
What the audience does
Likes75.7%18 640 in total
Reposts8.4%2 063 in total
Replies2.0%495 in total
Quotes3.1%763 in total
Bookmarks10.9%2 678 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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