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It took a little longer than expected, but we have finished the Gaza Geolocation Map. Every clip in the archive whose location we know is placed on a map of Gaza, so you can see where the footage was filmed.
It includes:
35,200+ videos and photos placed on the map.
Sources and the original post for every clip
Node map links & suggested leads
Our built-in AI iris can navigate the map
Fully searchable index
Filters by area, date, type of attack and precision
UN satellite damage survey layer (UNOSAT)
Built-in reverse image search links for each node
Downloadable dataset (CSV, GeoJSON and Google Earth)
It can be accessed here: archivegenocide.com/geolocatβ¦
Please re-share and help us break out of the algorithm prison.
We will keep placing more of the footage as our researchers work through the rest of the archive.
Thank you to genocide.live, GeoConfirmed, @AbuLocation and @NemoAnno, whose geolocation work is credited on the map.
God bless all those who sacrificed their lives to get this footage out.
Join our telegram:
t.me/+t9gq13mSKcE4NGI0
Follow our backup accounts:
@ZionismExposedx
&
@IsraelExposedAr
π«£
saygm.com/models/claude-fablβ¦
Insane numbers from gm. Congrats to the team.
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Okay, consensus is that this is pretty good, so I've given it a perm URL:
pill.taobubbles.net
For the web-based, simple-stupid explanation of Bittensor for your normie friends.
Send it around!
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π£New Listing Alert!
$TAO @opentensor on HTX!
Deposits Opened
Trading Starts Now!
htx.com.ua/support/105042146β¦
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It took a little longer than expected, but we have created a website for people to view the footage collected from Gaza in one place. You no longer have to download the entire archives to see them.
It includes:
64,537 videos
17,905 photos
Ability to download individual videos
Searchable index
Exhaustive sources list (300+ journalists)
Geolocation data
Livemap with minute to minute updates
Victim list
It can be accessed here: ArchiveGenocide.com
Please share & quote tweet to help this post break out of the twitter algorithm prison.
We will keep adding the rest of the archives to the site, be patient- it is difficult work. Continue to seed the torrents provided, as that is the best way to ensure the footage remains stored in decentalized way.
God bless all those who sacrificed their lives to get this footage out, and everyone invovled in collecting/archiving it.
Join our telegram:
t.me/+p_Ufon9FBOY0Y2Q0
Follow our backup accounts:
@ZionismExposedx & @IsraelExposedAr
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My favorite @elonmusk quote that I often send friends:
Do not fear losing. βYou will lose,β Musk says. βIt will hurt the first fifty times. When you get used to losing, you will play each game with less emotion.β You will be more fearless, take more risks.
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Other networks have "rug pulls" every day.
They ignore this problem.
TradFi startups solved this with vesting cliffs.
Introducing Bittensor "Conviction"
- locked stake so token holders can cryptographically verify an owner's long-term commitment.
Trust proven mathematically.
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they still say Ai is NOT the real art, then explain this one piece clip.
this normally would have cost them $500,000,000.
and Ai just made it within a week in under $500.
kizaru shows will start getting BETTER from here with AI
big anime studios should be AFRAID of what comes next
you can access seedance 2 pro on @MartiniArt_
π€ Paid partnership Β· π€ Made with AI
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π¨π¨π¨HOLLY SHIT! IRAN JUST RELEASED THIS VIDEO!
Iran is NOT playing games!!!
WOW!!!!!
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Sat down with Bittensor co-founder Jacob Steeves (Const) for a deep dive into the state of Bittensor in 2026. We covered how Subnet 3 trained a 72B parameter model in a fully permissionless decentralized way, how subnets create markets for digital commodities like gradients and inference, the dynamic TAO tokenomics that lock emissions into subnet liquidity pools, and why open ownership of AI matters more than ever as centralized labs head toward trillion-dollar IPOs.
0:00 Intro: Bittensor Co-Founder Jacob Steeves
1:13 Jacob's Background, From Deep Learning to Crypto
4:45 Founding Bittensor: The Monetary Computer
7:58 How Subnets Work as Markets for Digital Commodities
11:18 Subnet 3: Decentralized Model Training
15:28 Permissionless Training at Internet Scale
18:52 Why This Matters: Open Source AI Ownership
25:53 Subnet Tour: Optimization, Inference, and Compute
29:55 Affine: Beating Qwen 30B via Market Incentives
34:26 TAO Tokenomics and Dynamic TAO
51:54 How Investors Participate: Just Buy TAO
54:05 Open Ownership vs Fiat AI
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Iran doesn't seem intimidated at all and has just released another Lego video mocking the coalition.