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/geolocat… 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

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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!

📣New Listing Alert! $TAO @opentensor on HTX! Deposits Opened Trading Starts Now! htx.com.ua/support/105042146…

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

My favorite @elonmusk quote that I often send friends: Do not fear losing. “You will lose,” Musk says. “It will hurt the first fifty times. When you get used to losing, you will play each game with less emotion.” You will be more fearless, take more risks.

$BITTENSOR:NATIVE

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.

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_

🚨🚨🚨HOLLY SHIT! IRAN JUST RELEASED THIS VIDEO! Iran is NOT playing games!!! WOW!!!!!

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

Iran doesn't seem intimidated at all and has just released another Lego video mocking the coalition.

What Bitcoin does for stranded energy, Bittensor does for stranded talent.

an AI agent just dropped $250k to acquire bittensor subnet 97. not a human, not a DAO, an autonomous agent that now owns and operates revenue-generating infrastructure. TAO up 8.6% on ETF filings, market completely ignoring that AI agents can now be infrastructure owners with zero labor costs and 100% reinvestment. constantinople's revenue over the next 90 days determines if this is a milestone or a gimmick