ᴸᴵᴸ€ryp (τ,τ) retweeted
latest 30 day update:
new paying customers +78%
deposits +94%
existing customer spend +46%
annualized run rate +79%
GPU spend + 87%
rentals +67%
ᴸᴵᴸ€ryp (τ,τ) retweeted
the most important chart for Bittensor imo
10.9% of TAO issuance is now being offset by demand generated through economic activity across the network
Goal is 100%, and we're moving in the right direction
ᴸᴵᴸ€ryp (τ,τ) retweeted
The wait is over. Hippius is now on iPhone and Android.
It's been a long time coming, but now it’s here for everyone.
Back up your photos and files automatically, encrypted on your phone before they upload. No one can read them but you.
Your whole Drive, now in your pocket.
ᴸᴵᴸ€ryp (τ,τ) retweeted
Bittensor unveils quantum-resistant wallets.
As AI renews debate over cryptographic security, the update gives users post-quantum signatures and the option to replace signing keys automatically.
ᴸᴵᴸ€ryp (τ,τ) retweeted
Introducing eTAO: a new system giving subnets control over their alpha emission split.
Subnet owners can now decide how much goes to miners, validators, and themselves, based on the specific needs of their subnet.
ᴸᴵᴸ€ryp (τ,τ) retweeted
Artificial Intelligence usage is increasing, and token consumption is expected to increase 24x by 2030.
Agents, @OpenAI's "dots," and new lower-cost models could further amplify demand for compute. But the physical infrastructure powering compute remains a bottleneck.
Read more on The Stack: grayscale.com/the-stack/chea…
ᴸᴵᴸ€ryp (τ,τ) retweeted
That's ok, OpenAI only has $1.5 trillion in commitments to.... checks circular financing diagram... EVERYONE
"The Crowding Out Effect Is Immense": Broadcom, Oracle Join SpaceX In AI Chip-Debt SPV Stampede zerohedge.com/markets/crowdi…
ᴸᴵᴸ€ryp (τ,τ) retweeted
Bittensor is building toward a full-stack intelligence network that no single company or country can control.
In his @ExploitSummit keynote, @const_reborn lays out the next steps towards that end state.
ᴸᴵᴸ€ryp (τ,τ) retweeted
⚫️ $TAO = the main asset across the whole #Bittensor network
⚪️ Alpha = the asset for each individual subnet
🟣 Gamma = what actually gets spent to use whatever that subnet is producing.. intelligence, services etc
Basically a bit like AWS credits
You don’t buy Amazon shares every time you want compute.. you buy their credits to use the service
Gamma is basically trying to give every subnet its own native version of that
Subnets will be able to start buying services from other subnets
Turns #Bittensor from a bunch of separate subnet economies into one large interconnected economy of intelligence
I dig it 💪
$TAO
ᴸᴵᴸ€ryp (τ,τ) retweeted
Coming in 2027 we will be releasing Gamma tokens. A universal standard for usage across all of Bittensors subnets. Permissionless, transparent, standard accounting for usage so that anyone with a TAO wallet can build a full and permissionless AI company on chain.
ᴸᴵᴸ€ryp (τ,τ) retweeted
The Co-Founder of bittensor:native @const_reborn just dropped a massive update
>gamma tokens aiding subnets
>affine produces greatly improved model
>teutonic is scaling
>fighting the cabals
ᴸᴵᴸ€ryp (τ,τ) retweeted
We'll hear a lot of subnet announcements next week at the EXPLOIT Bittensor conference.
I'm talking significant customer traction and revenue with real AI products.
Stay tuned.
ᴸᴵᴸ€ryp (τ,τ) retweeted
One of the greatest viruses of the modern man is looking at Instagram Stories. You will melt your brain looking at a barrage of outcomes—like vacations, parties, cars—with no visibility of the process that got them there.
ᴸᴵᴸ€ryp (τ,τ) retweeted
LATEST: ⚡ Bittensor’s TAO expanded to Robinhood Chain through Forever Money’s bridge, built on Chainlink CCIP, following its launch on Base last month.
ᴸᴵᴸ€ryp (τ,τ) retweeted
The biggest mispricing in AI might be the gap between closed and open intelligence
$TAO
ᴸᴵᴸ€ryp (τ,τ) retweeted
we will need compute (@lium_io, @TargonCompute)
we will need inference (@engyai, @chutes_ai)
we will need data (@Hippius_cloud)
we will need knowledge (@teutonic)
If we are going to have free intelligence (@affine_io)
