Founding Director/PI, HBL Center for Blockchain & OGDCL Clean Energy Center. #NUST #UTokyo #Princeton Academic and Entrepreneur. Bittensor Maximalist
Joined April 2022
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My podcast with @VenturaLabs on #bittensor, decentralized #compute and future of #blockchain such as #RWA tokenization, #DeAI & even #memecoins.
Touched upon my fascination with #tokenization & #energy and far reaching potential of these areas
Suggestions, criticism are welcome
$TAO
#CRYPTO
Ventura Labs Ep. 24 - Dr. Fahd S. Khan
Dr. Fahd S. Khan (@ProfFahdKhan) is Founding Director/PI of the HBL Center for Blockchain & OGDCL Clean Energy Center, GIKI.
Timestamps:
2:50 - Introduction
3:31 - Introduction to Dr. Fahd S. Khan
5:18 - Energy Meets Blockchain Innovation
9:12 - Blockchain’s Role in Energy Trading
14:51 - Decentralized Compute with Bittensor
24:31 - AI and Tokenization: Blockchain’s Future
30:58 - Challenges of Mapping Real-World Assets
32:27 - Verification in Decentralized Systems
33:50 - Exploring Yuma Consensus
35:33 - Intelligence Evaluating Intelligence
38:09 - Market Approaches for AI Valuation
41:45 - The Journey to AGI
45:18 - Morality’s Role in AGI
47:22 - Addressing Bias in AI Training
49:03 - Human Mimicry in Defining AGI
50:51 - Beyond Senses: AI Evolution
53:34 - Bittensor’s Vision for the Future
55:09 - Decentralization’s Societal Impact
56:38 - A Digital World: Dream or Reality?
59:31 - Advice for Blockchain Beginners
Dr. Fahd S. Khan retweeted
1) pick your favorite subnet that publishes revenue figures
2) point your agent at a) revenue stats from (1) and b) subnet growth model (kariscrypto.com/sgm)
x axis = implied irr at current prices (the implied rate of return you are accepting as an investor assuming published revenue = true). higher irr => better.
note that revenue figures will increase substantially for some subnets in the next 3-6 months. that is where the alpha lies.
#bittensor bittensor:native
Interesting design shift from @CanopyMRV.
Most #Bittensor subnets reward the top miner and ignore the rest. This WASTES good work, since different miners/models can get different parts right.
Scoring per image and keeping the best of each is the essence of Decentralization !
$TAO
🚀 Architecture v1.5 is live on testnet. No more winner-takes-all: validators now pick the best annotations per image from every miner, so all contributions are valued and incentivized. Early results show higher-fidelity data. And this strength is only in decentralization where subnet consider best little little contributions from every contributing eligible miners and get high diverse result instead to discard other miners effort except top one.
Repo:
github.com/Tech-Nucleus/Data….
S498 Dashboard of Climate MRV
mrv.technonucleus.com/
Dr. Fahd S. Khan retweeted
JUST IN: @const_reborn shares the vision for gamma tokens, usage credits that subnets could fund from a slice of their emissions and spend on compute, inference, and other infrastructure.
What this means ⬇️
→ Subnets stop being isolated prize pools. They can buy services from one another instead of only competing for $TAO
→ Gamma is meant to work as a transferable credit, not just another speculative subnet token
→ Access is designed to reach beyond Bittensor, so outside compute and inference providers could take the same credits
→ Emissions become operating budget, not only a reward that gets sold into TAO
If a subnet can spend what it earns on real work, Bittensor starts looking less like a scoreboard and more like an internal market for intelligence.
Carbon verification today: a consultant flies out, walks a plot, writes a PDF, bills $80k.
#Bittensor's SN498 version: models compete, get scored against hidden ground truth, best one wins.
Only one of those scales !
Visit SN498 dashboard:
mrv.technonucleus.com
$TAO #bittensor #climate #carbon
Our subnet is improving its architecture every day and the results are already astonishing.
Huge thanks to our dense miners. We’re now delivering human-level precise annotation. You can real time inspect the validated high-performing dataset on our dashboard's interactive chip inspector, including every detected features in each image.
Human SOTA is next. Happy mining.
And never forget: we’re chasing a $1.5T market.
Visit our dashboard to inspect labelled golden chips:
mrv.technonucleus.com/
#SN498 #Bittensor #climateChange #MRV
Climate Finance moves $1.5T a year. All of it rests on someone verifying a forest still exists
A #Bittensor SN is turning verification into open competition: miners label imagery & validators score them against hidden ground truth.
Live on testnet.
mrv.technonucleus.com/
$TAO
AI’s biggest bottleneck: expert-labeled data.
We’re disrupting it on Bittensor — open, merit-based annotation for climate (EUDR + carbon MRV).Testnet live. Miners welcome.
github.com/Tech-Nucleus/Data…
#Bittensor #DataAnnotation
Dr. Fahd S. Khan retweeted
The following analysis is a byproduct of lack of process within the ecosystem that leaves business builders limited notice or ability to properly plan, assess risk, and execute.
We are responding rapidly to the code we’ve seen thus far, in the forum where we see it being discussed, as it is unclear what the proposed release timelines are for the Root Reborn update.
More than anything, we’d like to see a reliable, structured process for chain updates that includes time for industry feedback and relevant business planning.
Dr. Fahd S. Khan retweeted
Subnets are the intelligence engines of Bittensor, but still remain largely inaccessible to the general public.
Today we took a big step towards addressing that by making access to them available to customers of one of the world’s leading crypto platforms.
App, custody, and institutional users on @cryptocom can now stake both $TAO and subnet tokens through Yuma's validators, enabling access to @bittensor ecosystem yield for the trading platform's 150M+ global audience.
Are there still doubts on why #bittensor is absolutely necessary for the world ?
#TAO
The most asymmetric trade in #Crypto is sitting in plain sight at a $2.7 billion MC.
Being an academic, I have spent time thinking abt the mathematical case for $TAO, reviewing frameworks & recent reports.
$1 TRILLION #Bittensor Market Cap by Sept 2034 (~370x).
Here’s how: 🧵
14/ A mechanism-design note for @const_reborn @shibshib89 @opentensor: Nov 2025 emission changed rewards subnets for net flows into their pools. Good. That kills speculative life-support for dying subnets.
But it doesn't reward subnets for being useful to other subnets - which is the variable c in the multiplier mentioned above. The variable that drives the convexity of the entire ecosystem.
I propose what I cheekily will call the Khan Coefficient if you want a name for it:
E_j = Base_j × [1 + κ · Σ_k Usage_jk]
where Usage_jk = verified consumption of subnet j's outputs by subnet k.
A subnet powering eight other subnets scores high. A standalone subnet with no internal customers scores low. κ is small enough to preserve the existing flow signal but large enough to bias the network toward integration.
This makes the recycling rate operational rather than emergent. Inter-Subnet collaboration is what compounds the multiplier. The protocol should reward exactly that.
15/ Conclusion ? Let me be direct about what I believe.
#Bittensor is the only major network where:
a) The protocol's tokenomics force a tight, AMM-mediated link between subnet growth & native token demand.
b) Supply is constrained by a continuous halving cascade that runs through 2030s & beyond.
c) The recycling rate compounds inter-subnet capital flows convexly, not linearly.
d) Agents are about to operate at machine velocity inside a fixed-float regime.
e) Institutions are showing interest publicly & may well be accumulating privately.
These are independently true. They compound when stacked.
The asymmetric setup is this: at $2.7B MC, the downside case requires multiple structural features of the network to fail simultaneously. The upside case requires the trends already in motion to continue.
The institutions have arrived. The mechanism is empirically validated. The agent economy is operational. The supply compression cascade is mathematical, not narrative.
What happens when you hold an asset where every input is moving in your favor and the market hasn't repriced yet?
You find out what asymmetric actually means.
$ 1 Trillion by Sept 2034 !
Disagree on merits.