ππππ πππ πππ β
@henkvaness Β· Have Mac, will travel #osint Β· 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
56 191Followers
9 328Following
38 697Posts total
5.2MViews on collected posts
Latest posts
Looking for new postsβ¦
I did a write up : https://t.co/9nSxrPKmX3
838 views Β· 11 likes
Β· 1 reposts Β· 0 replies
Open on X β
@henkvaness A great tool that can help to understand post-disaster scenarios!
439 views Β· 2 likes
Β· 0 reposts Β· 0 replies
Open on X β
You can actually make a movie out of the results and use it for tv or internet for free. Check out https://t.co/tg0a8Ytb5V now and let me know what you think. https://t.co/WvdEZLqvzf
1.2K views Β· 15 likes
Β· 2 reposts Β· 1 replies
Open on X β
0:24
You can zoom in on the changes, that are enlarged on the right and explained. (6/6 + 1 more) https://t.co/k7Aa1tCVwj
996 views Β· 13 likes
Β· 1 reposts Β· 1 replies
Open on X β
0:13
Mechanical checks are done, you can choose if you want to run all seven of them. (5/6) https://t.co/d5CDHtL0xp
895 views Β· 11 likes
Β· 1 reposts Β· 1 replies
Open on X β
It will try to tell you what actually changed but also what could be a false alarm. (4/6) https://t.co/eM0gxly0D6
1.1K views Β· 11 likes
Β· 1 reposts Β· 1 replies
Open on X β
Enter an address and it will fetch satellite images from Maxar, Esri and other suppliers. It will automatically load a before and after image, which you can manually fine-tune to your liking. (3/6) https://t.co/4n9bWlQTBc
1.5K views Β· 13 likes
Β· 1 reposts Β· 1 replies
Open on X β
I built it because location research means stitching together satellite archives. It's slow, and easy to get wrong when you're working fast. (2/6) https://t.co/ltM72hW0fu
2.6K views Β· 12 likes
Β· 1 reposts Β· 1 replies
Open on X β
Meet Geo Whisperer Beta. (https://t.co/tg0a8Ytb5V). It shows the history of a place β in pictures, in words, and in a short film built from what's changed. Just type in an address and it will tell you what the differences are in satellite images over time. (1/6) https://t.co/xiia
78.3K views Β· 544 likes
Β· 97 reposts Β· 5 replies
Open on X β
@iporollo When can we expect the results of the GLM 3.5 Flash Hackathon?
1.5K views Β· 1 likes
Β· 0 reposts Β· 1 replies
Open on X β
@Zai_org When do we get to see the results of GLM 3.5 Flash Hackathon organized by @CelebralValley ?
1.3K views Β· 0 likes
Β· 0 reposts Β· 0 replies
Open on X β
The full research tool is now on GitHub https://t.co/EBPlTOMYIZ
102 views Β· 1 likes
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Open on X β
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 Β· 98 likes
Β· 0 reposts Β· 2 replies
Open on X β
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 Β· 2 likes
Β· 0 reposts Β· 1 replies
Open on X β
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 β buried behind a government query form, written in trade shorthand, returned
258 views Β· 101 likes
Β· 0 reposts Β· 1 replies
Open on X β
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 Β· 104 likes
Β· 0 reposts Β· 1 replies
Open on X β
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 Β· 1K likes
Β· 4 reposts Β· 1 replies
Open on X β
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 β 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 Β· 17 likes
Β· 4 reposts Β· 0 replies
Open on X β
@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 Β· 196 likes
Β· 30 reposts Β· 7 replies
Open on X β
@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 Β· 573 likes
Β· 46 reposts Β· 3 replies
Open on X β
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 Β· 483 likes
Β· 43 reposts Β· 1 replies
Open on X β
Google responded with https://t.co/YrZKjqTDvo
77.3K views Β· 586 likes
Β· 75 reposts Β· 3 replies
Open on X β
@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 Β· 24 likes
Β· 3 reposts Β· 0 replies
Open on X β
@henkvaness We take misinformation seriously β 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 Β· 172 likes
Β· 26 reposts Β· 260 replies
Open on X β
@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 Β· 2.1K likes
Β· 89 reposts Β· 12 replies
Open on X β
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 Β· 1.3K likes
Β· 92 reposts Β· 11 replies
Open on X β
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 Β· 1K likes
Β· 110 reposts Β· 5 replies
Open on X β
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 Β· 1.7K likes
Β· 148 reposts Β· 19 replies
Open on X β
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 Β· 1.8K likes
Β· 141 reposts Β· 6 replies
Open on X β
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 Β· 7.4K likes
Β· 1.3K reposts Β· 161 replies
Open on X β
Against accounts of the same size
30 posts from the last 90 days, next to the 10Kβ100K follower range. ordinary reach for its size, weaker reaction than most.
Median views2 352this account924median for 10Kβ100K
Reach, %4.19%this account3.62%median for 10Kβ100K
Engagement, %0.98%this account1.52%median for 10Kβ100K
| Metric | This account | Median for 10Kβ100K | Ratio |
|---|---|---|---|
| Median views per post | 2 352 | 924 | 2.55Γ |
| Reach (views Γ· followers) | 4.19% | 3.62% | 1.16Γ |
| Engagement rate | 0.98% | 1.52% | 0.64Γ |
Others in this range β Compare with another account β How these benchmarks are built β
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
34331 Aug
524
102
1.3K4 Sep
1.5K
78.3K17 Sep
2.6K
1.5K
1.1K
895
996
1.2K
43918 Sep
838
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
0.87%31 Aug
19.08%
0.98%
0.00%4 Sep
0.14%
0.83%17 Sep
0.53%
0.98%
1.20%
1.45%
1.51%
1.53%
0.46%18 Sep
1.43%
Reactions β likes, reposts, replies and quotes β divided by views. Median for 10Kβ100K accounts is 1.52%.
What the audience does
Likes73.9%19 272 in total
Reposts8.3%2 168 in total
Replies1.9%506 in total
Quotes2.9%766 in total
Bookmarks12.9%3 366 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 β we take one a day, and this one is on its first.
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