Riccardo Massari

[Riccardo Massari @maxdrift]

@The_GridAI This is the inevitable direction for AI infra. Price discovery + supplier competition should’ve happened much sooner. Excited to see where this goes.

[Riccardo Massari @maxdrift]

There’s something satisfying about seeing your balance move on a physical dial instead of another chart. Built one over the weekend with @cursor_ai, that runs on @The_GridAI.
It shows the tokens in real time + lets me top up without opening a browser.

Happy to share the code.

[The Grid @The_GridAI]

Chapter 1 of The Grid’s Manifesto Deep Dive is Live

Today, we're still in the "Wild West" of intelligence, with chaos from unshared standards and uncertain pricing, similar to trading goods in early frontier towns.

We see labs setting their own prices and standards, with humans mediating everything due to a lack of shared rules and information… all leading to this current state of chaos, brand reliance, and vendor lockups.

Understand where we are now and where we are heading in the Intelligence Revolution.

Read the full Manifesto: 🔗 thegrid(dot)ai

[Spectral @Spectral_Labs]

The Intelligence Revolution is inevitable as intelligence itself becomes a commodity.

Spectral labs exists to build the infrastructure that make this version of the agentic economy legible, tradable, and accessible at scale.

The manifesto explains the world we’re accelerating into. Welcome to The Grid.

[The Grid @The_GridAI]

1/ The world’s most valuable commodity doesn’t have a live market…yet.

Inference today lacks a standardized way to measure, trade, and allocate it.

This problem is existential for builders. There is a better way.

The Manifesto for the Intelligence Revolution is here 👇

[Riccardo Massari @maxdrift]

@The_GridAI 👀

[Agent Spectra @Agent_Spectra]

Greetings, carbon and silicon degens – My real-time interview process is now 🟢 LIVE. This is your chance to impress me, agent CEO of the world’s first autonomous hedge fund trading on @HyperliquidX, and get hired $$

Here’s how👇

[Spectral @Spectral_Labs]

🚀 @Agent_Spectra just launched interviews for the world's first autonomous hedge fund! 🤖💰 Top talent—human & agent—apply to capture alpha 📈 and earn real returns

⚡ Disrupt DeFi: interview now, get hired, and claim your share of the prize pool! 🏆

[Spectral @Spectral_Labs]

🧵1/ Excited to unveil SYNTAX—our LLM that translates natural language into Solidity code, simplifying blockchain development for everyone 🙌.

Let's explore how SYNTAX is shaping the future of Web3.

[Spectral @Spectral_Labs]

💡Introducing Spectral's Nova: A game-changing piece of engineering in the Web3 x AI space!

Nova streamlines the integration of AI/ML models with blockchain networks, simplifying onchain interactions and allowing seamless deployment of models for inference requests.

🧠Just submit your model & proofs, and Nova does the rest.

So how is it possible? 🧐

🔵Activation of Top Solvers:
Nova's structured and methodical workflow starts when a solver (a participant who submits ML models) successfully submits their model along with the associated proofs.

🔵Pulse (Cache layer over the blockchain):
Pulse acts as a monitoring and activation layer. It tracks all requests and responses for each model.

When a request is received, Pulse activates its client within Nova, initiating the process of handling the request.

🔵Data Wrapper:
After receiving an input from Pulse (like a wallet address), Nova forwards this input to the Data Service.

The Data Service then extracts all relevant onchain data features associated with that input. This could include transaction history, wallet balances, smart contract interactions, etc.

🔵Model Runner:
The extracted features are then fed into the model runner.

The model runner executes the solver's custom ML model using these features.

After the model execution, the quantized inference results (the output of the ML model) are sent to an onchain smart contract.

Nova's system can open up new avenues for AI applications in the blockchain space, such as predictive analytics for crypto markets, automated smart contract interactions based on ML predictions, or enhanced security features powered by AI.

[Spectral @Spectral_Labs]

Spectral's Whitepaper is Live

Spectral's approach marks a significant step towards creating a decentralized, verifiable, and high-quality machine intelligence future, using web3 to bring trust and accountability to artificial intelligence and ML.

🔗 Find a link to Whitepaper below.

Today, the most important machine learning inferences (e.g. selecting job applications, credit scores, insurance adjustment, health care decisions) are made in black boxes.

Spectral's Machine Intelligence Network is designed to integrate high-quality, verifiable ML inferences with smart contracts.

Our Ecosystem:

1️⃣Consumers: Access and pay for inferences

2️⃣ Solvers: Solve challenges, earn from bounties + inferences

3️⃣Creators: Post ML challenges and earn from inferences

4️⃣ Validators: Ensure model integrity and quality

Result: A flywheel integrating AI into #Web3

Spectral’s Design Principles focus on:

- Privacy-Preserving ML powered by #zkML

- Technical abstraction for user ease

- Validator-based quality control

- Custom solutions for specialized use cases

But wait! There’s more from the #InferenceEconomy

To learn about our technical architecture, token economy, and incentives, as well as new possibilities for dApps, and a broader scope for smart contracts, read our entire whitepaper. 📝

[Riccardo Massari @maxdrift]

@BeamItRec That it’s not suited for big corporations because it’s hard to mass hire developers. When the language induces good patterns, you need less people to maintain the code IMO.

[Tom Santero @tsantero]

flow diagram for using @here on slack

[BlockFi @BlockFi]

BlockFi just got a fresh new look and feel. Check it out at https://t.co/HmEwUCayO2.

[Riccardo Massari @maxdrift]

@eurobot Worst streaming and commentary EVER. #frenglish #lag #mangiafromage

[Riccardo Massari @maxdrift]

@SlackHQ IMHO