Connor

TradFi (Current: Private side of Pension Fund; ex-VC FoF), Crypto

[Connor @cdsonchain]

Two questions I'll dig into: 1) Aleo and its lackluster performance despite the privacy hype. 2) How can we expect another crypto bull market with Q-Day still looming. #Aleo #QDay aleo:native

[Nick Tomaino @NTmoney]

People bailing on crypto now never believed they just liked it because other people liked it. They’re now chasing the next shiny object.

If you actually believe in human empowerment and transparent markets bringing more freedom to the world you know we are winning and now is the absolute best time to dig deep and continue working on what you believe in.

[Connor @cdsonchain]

Thank you for your attention to this matter.

[Connor @cdsonchain]

Timeline is inarguably very bullish. May short soon.

[Connor @cdsonchain]

Timeline is inarguably very bullish. May short soon.

[Connor @cdsonchain]

Yesterday, I set up a @taodotcom wallet and funded it with 2 TAO to ride the hype. Given my full-time job (limited time for research), I asked ChatGPT which subnets to allocate to.

I ended up allocating 0.5 TAO each to @TargonCompute, @QuasarModels, and @tplr_ai.
Portfolio now sits at ~2.12 TAO (+$118).

[Delphi Digital @Delphi_Digital]

Bittensor has evolved beyond AI inference.

Templar's Covenant-72B trained 72 billion parameters on 1.1 trillion tokens
without a centralized cluster, the largest decentralized pre-training run
to date.

Over 70 permissionless nodes on commodity internet connections
achieved 94.5% compute utilization and outperformed LLaMA-2-70B on MMLU.

Subnets are growing across distinct use cases like drug discovery and autonomous driving.

[Connor @cdsonchain]

At the time of writing, Bittensor sits at a $5.0B FDV with a 0.46 market cap/FDV ratio.

[Connor @cdsonchain]

This creates a powerful feedback loop:

Better models
↓
Better rankings
↓
More TAO rewards
↓
More development

The network incentivizes continuous improvement of AI systems.

[Connor @cdsonchain]

If crypto created open financial markets…

Bittensor is attempting to create open intelligence markets.

And that could be one of the most important experiments in AI.

[Connor @cdsonchain]

You can think of subnets as markets for intelligence.

Each subnet creates incentives for solving a particular AI problem.

Developers build models.

Validators evaluate them.

$TAO rewards flow to the most useful intelligence.

[Connor @cdsonchain]

Bittensor Explained - The Decentralized AI Network
This 🧵 is a brief introduction to my research so far.

[Connor @cdsonchain]

One of the most important innovations in Bittensor is the concept of subnets.

Subnets are specialized AI networks built on top of the protocol.

Each subnet focuses on a specific task. Examples include:
- Language models
- Search systems
- Data analysis
- Prediction models

[Connor @cdsonchain]

Participants in the network fall into two main roles:

Miners
- Produce machine learning outputs
- Compete to deliver the best results

Validators
- Evaluate the outputs
- Rank model performance

The network rewards useful intelligence.

[Connor @cdsonchain]

Core idea:
1) AI models compete in an open intelligence market
2) Validators evaluate the quality of outputs
3) Better performance = more rewards

Models -> Evaluated -> Ranked -> Rewarded

The currency powering this market is $TAO.

[Connor @cdsonchain]

Bittensor flips the model.

Instead of one company building AI, it creates a network where anyone can contribute machine intelligence.

Participants compete to produce useful outputs and the best models get rewarded.

[Connor @cdsonchain]

The modern AI ecosystem looks like this:
- Models controlled by big tech
- Closed training data
- Expensive compute infrastructure
- Limited access for developers

In short - AI is centralized, creating a massive barrier for innovation.

[Connor @cdsonchain]

AI is becoming the most valuable technology on earth. Love it or hate it - AI is here to stay.

Today, it's controlled by a few centralized labs (@OpenAI, @GoogleDeepMind, @AnthropicAI, @Meta, @xai).

A project called @bittensor is attempting something radical: Creating an open market place for machine intelligence.