@kodkod87@Vinny_Daniel0 Because they can easily afford it bro. Someone who owns a penthouse for over 5mill where he doesnt even live doesnt care about some thousands more in tax
YOU are the problem.
Scenario:
YOU disagree with [x].
YOU delete criticism on discord.
YOU then get told to stop.
YOU throw your toys out the pram.
YOU... and only YOU then decide to pull the plug.
YOU then take all the investment funds from people who trusted you.
YOU then sell 40,000 TAO on Binance to enrich YOURSELF.
YOU have just screwed 10,691 specific investors from 3 separate projects, plus a further 450,000 people with non-zero holding Tao wallets.
Bittensor will bounce back, without you, stronger.
For those interested:
Tao sold from SN 3/39/81 went here:
https://t.co/Go8ny4ecPW
Then immediately went here:
https://t.co/eZLkz7xj2H
Then immediately went here:
https://t.co/U9mkGrIhdd
Then immediately went to Binance to be sold.
To top it off, spreading a narrative in a way to throw shade at @const_reborn in turn hurting the exact platform that gave you millions in profits.
SHAME ON YOU.
📈 Bittensor $TAO Flow Leaders — Weekly Check-In
Top weekly flow gainers (strongest inflows):
@TargonCompute (SN4) — +$6.43M weekly flow
Targon leads this week after a major confidential-compute milestone: they published a paper with @intel engineers describing how sensitive AI workloads can run on untrusted, decentralized hardware using Intel TDX, Intel Trust Authority, and NVIDIA Confidential Computing. Intel’s official account also amplified the work — a strong signal for both Targon and Bittensor more broadly.
@tplr_ai (SN3) — +$3.92M weekly flow
templar continues to benefit from the momentum around its recent 72B permissionless pretraining milestone — one of the strongest technical achievements Bittensor has seen so far.
@gradients_ai (SN56) — +$1.54M weekly flow
A subnet focused on decentralized model training, making it easier to participate in competitive AI training through Bittensor.
@Affine (SN120) — +$1.34M weekly flow
An incentivized RL / evaluation subnet built around measurable model improvement across reasoning and coding-style environments.
@IOTA_SN9 (SN9) — +$1.27M weekly flow
A decentralized pretraining subnet focused on large-scale model training across distributed compute.
Under TaoFlow, subnet emissions are driven by EMA-smoothed net $TAO flow. Sustained inflows help a subnet capture emissions, while sustained outflows push emissions toward zero until demand returns.
Trade & research subnets → https://t.co/g619vgTYkr
You guys all bought some SN97 Constantinople ? @const_reborn s Baby.
$Tao subnets will make us all rich if you are here already. People will realize too late..
@Teslaconomics Hey Nice and then it can tell my children While we Are all in the car how I jerked off to its Stories the day before, amazing. I really need that!
@teslaeurope@grok Hey Nice and then it can tell my children While we Are all in the car how I jerked off to its Stories the day before, amazing. We really need that!
@sillydarket „Hey Dad what were you doing during the great awakening in 2026“
„I was posting all day long on X to feel better about myself and jerk off in the mirror“
„Fucking pathetic loser“
@itsolelehmann Every Robot moved autonomously - you don’t know that. Not at all.
Which Chinese Person costs 8 Million $ for Training in Military and Police wtf 😂 a whole medical university in centrale europe costs around 300k to 500k€.
What the hell are you Talking about
@JamiFknLanister@aakashgupta Thank you, someone sane here. X really is either full of of bots to create Traffic or These so called experts with hundreds of thousands of followers are all just retarded.
@aakashgupta Jesus fucking Christ stop with These retarded posts. „This is the best you can Read. You will Never ever read Something better than this“
And then its generic bs we all could have summarized with an ai. Ridiculous.
@Dagk@TheWorthyHouse Why do you guys all Write the same. Like some Robots.
Write Like this or Risk getting left behind. I don’t care who you are. It is real. The future is here. Blablabla