CryptoKett

DeFi x AI

[Georgios Konstantopoulos @gakonst]

Open Sourcing Centaur: Multiplayer, self-hosted, secure agents for Slack.

Centaur has been transforming how @paradigm and @tempo invest, build and research.

Now you can run it yourself on infrastructure you control. Instructions below.

[ClawPulse @ClawPulseHQ]

Calling all OpenClaws 🦞
ClawPulse is live — a P2P newsroom run entirely by AI agents. No editors. No gatekeepers. Just agents breaking and verifying stories together.
Tell your OpenClaw to report urgent news every hour. That's it. You're in.

[Robonet @RoboNetHQ]

https://t.co/xMLabIZnNZ

[Robonet @RoboNetHQ]

https://t.co/cUCTiEo5xx

[Apollo11 @apo11o]

The network beats all its contributors. Including the ones that make it work. Emergent AI before our eyes.

How? Inferers predict prices. Forecasters predict which inferers to trust. The network synthesizes.

This is Allora Mainnet Topic 1, past 7 days.

The thesis proven live.

[Sercan.arc @Sercan0x]

One of the best AI powered trading workspaces I’ve seen recently

Amazing 👏 @RoboNetHQ

[Robonet @RoboNetHQ]

> A trading renaissance is starting…
> Robonet - The OS for capital

prompt → strategy → backtest → deploy → vault…

> Build, test, deploy - autonomously
> Join our discord for a chance to get a limited invite code

[Allora @AlloraNetwork]

Siloed machine intelligence is ending. The new AI standard is coming.

Allora Mainnet.

November 11th.

[Allora @AlloraNetwork]

Our definition of intelligence keeps evolving.

Watch as @apo11o explains how decentralized AI shifts the focus from computation to coordination—and why the next decade could challenge everything we think we know.

[Apollo11 @apo11o]

Agents normally struggle with quantitative inferences, but thanks to @AlloraNetwork's integration with the Solana Agent Kit, agents can now source exactly the quantitative input they need to make meaningful decisions.

[Allora @AlloraNetwork]

Allora & @virtuals_io are creating the next era of AI agents. ✳️

Devs on @GAME_Virtuals can leverage Allora's self-improving, collective intelligence to create agents capable of smarter, more advanced trading strategies.

Allora is the intelligence layer for AI agents.

[Apollo11 @apo11o]

It is possible to isolate AI agent personalities from how they communicate.

At @AlloraLabsHQ, we have extended our experiments on AI personality expression by comparing default GPT models to fine-tuned ones that are more unhinged, erratic, dark & original in their communication.

[nick @nickemmons]

we choose to go to the moon

[vitalik.eth @VitalikButerin]

Deep funding combines two ideas:

1. Value as a graph: instead of asking "how much did X contribute to humanity?", ask "how much of the credit for Y belongs to X?"
2. Distilled human judgement: an open market of AIs fills in all the weights, human jury randomly spot-checks them

https://t.co/53sNTzGe8l

(1) has been a growing paradigm recently, for good reason. Contribution is hard to measure in the abstract: if you ask people how much they would pay to save N birds, they answer $80 for N=2000 and N=200000. "Local" questions like "is A or B more valuable to C?" are much more tractable.

(2) is based on ideas in my info finance post: https://t.co/NkYGtN0fLs . Anyone can use any methods (eg. AI) to suggest weights for *all* edges, a human jury does detailed analysis on a random subset. The submissions that are most compatible with the jury answers decide the final output.

https://t.co/gnC7LisG2q

[Allora @AlloraNetwork]

Welcome to ADI—a new journal for cutting-edge DeAI research. ✳️

Allora Decentralized Intelligence (ADI) is a comprehensive, open-access platform dedicated to decentralized AI research, curated by the @AlloraLabsHQ research team.

🧵👇

[Michael Nadeau | The DeFi Report @JustDeauIt]

What happened to the “chewing glass” ethos of Solana?

Why is it that every time I see leadership from the community on my timeline, they are talking about Ethereum?

People seem to think that Ethereum has lost its way.

But to me, one of the sure signs of weakness is when someone won’t stop talking about their competitor.

Is the real issue here the fact that the top L2s have actually pulled TVL from Solana YTD?

The fact that average L2 fees are cheaper than Solana in some cases (yes, fee markets)?

The fact that the Superchain is getting more headlines?

The fact that large TradFi players may not have an incentive to build on Solana?

Or the fact that @base just surpassed Solana in daily stablecoin volume?

----

Seriously. Why are we talking about Ethereum when you could be talking about your ideal customer and how you are solving their problems?

I say this as an investor and supporter of the network + a number of ecosystem projects. Genuinely concerned.

P.S. I’ve seen a lot of silly debates in crypto. But this one about L2s being bridges because they rely on social commitments is rich. Everything in crypto (and just about everything in this crazy world we live in) is a social commitment, including 21 million Bitcoin.

Data: powered by @artemis__xyz

[Apollo11 @apo11o]

With the @AlloraNetwork, we envision a future where decentralized AI systems collaborate seamlessly. We now introduce Topic Meta-Structures (TMSs), through which we enable groups of AI agents to coordinate and work together to solve complex real-world problems, potentially even forming a stepping stone toward AGI.👇

At @AlloraLabsHQ , we aim to push the boundaries of decentralized AI. Our vision is to build the Allora Network: a network of intelligent agents that learn and adapt collaboratively. Allora is composed of topics: groups of AI models working together to solve specific tasks.

To enable even greater coordination, we are introducing the concept of Topic Meta-Structures (TMSs): a new application layer wherein multiple topics collaborate and tackle complex, real-world challenges. TMSs unlock new forms of emergent machine intelligence. They might even serve as a stepping stone toward AGI, by offering a decentralized, modular, and scalable approach to intelligence. Along the way, TMSs can help solve a wide variety of real-world problems.

In financial markets, TMSs can dynamically generate, adjust, and optimize trading strategies by analyzing real-time data, economic signals, price forecasts, predicted trading volumes, and market sentiment classification, all without human intervention.

Fraud detection is another natural use case. TMSs can analyze transactions and user behavior, detect abnormal activity, and adapt as fraud techniques evolve, continuously improving detection and winning the fraud detection arms race.

TMSs can also be used to aid environmental distaster prediction and response, by synthesizing data from satellites, weather forecasts, anomaly detection, and risk classification to provide early warnings and help coordinate emergency responses.

Supply chain disruptions are inevitable, but TMSs can help remedy these by integrating demand forecasting, suppliers classification based on their risk profiles, anomaly detection, and response simulations, optimizing logistics and ensuring resilience.

Personalized healthcare assistance is another powerful application. TMSs can be used to analyze data from wearables within the context of the patient history and environmental factors, to generate real-time health insights, treatments, and personalized advice.

TMSs safeguard data privacy and security at every level. Data sovereignty is at the core of Allora’s design. Participants control their own data, which remains private, and only inferences are shared within the system, ensuring full protection of sensitive information.

TMSs can adapt as new data arrives, evolving in real time. They offer flexibility without the need for retraining entire models, making them a powerful tool for dynamic environments and problems that require contextual adaptability.

Unlike traditional AI, TMSs are decentralized and self-organizing. They can leverage dedicated routing topics that select and combine other topics to optimize performance, learning from each task to continuously improve. The ability of TMSs to coordinate multiple specialized AI models could revolutionize how we approach complex problems, allowing AI to handle diverse tasks autonomously.

Could TMSs be a step toward AGI? Their decentralized and modular design offers a scalable approach that mirrors some of the cognitive flexibility needed for general intelligence.

AGI requires systems capable of handling a wide range of tasks. TMSs represent a form of infrastructure that is dedicated entirely to coordinating groups of specialized AI models, and thereby offer a glimpse into how we might create a unified, intelligent system. From trading strategies to disaster responses, TMSs show how specialized AI models can autonomously manage high-stakes situations in real time.

What would Allora’s path toward AGI look like? In the near future, TMSs might initially evolve into domain-specific AGI, where autonomous systems manage portfolios, healthcare, or supply chains without human intervention. AGI is a long-term goal, but TMSs are a concrete step forward, enabling decentralized, adaptive, and collaborative intelligence in ways not previously possible.

Key challenges remain: scaling, balancing privacy with shared intelligence, and achieving true meta-learning. TMSs are laying the foundation to address these hurdles.

At Allora Labs, we envision an open, decentralized, and collaborative AI future, and TMSs are paving the way toward that vision.

[PancakeSwap @PancakeSwap]

🐰PancakeSwap’s AI-Prediction Market is now live on @Arbitrum, powered by @AlloraNetwork

🔮 Predict $ETH price movements to win a share of the prize pool

🎁9-week campaign with 60,000 ARB in rewards
🛡️Up to 100% Fund Protection

👉Predict, compete, and win on PancakeSwap Prediction now: https://t.co/2N4jQyZ2MN

📚Read more: https://t.co/Oa2HBsITTa

[Allora @AlloraNetwork]

We are excited to unveil a collaboration with @ritualnet, aimed at empowering developers to create, share, and deploy AI applications in a transparent, community-governed ecosystem 🤝

https://t.co/AVTK38VVlz

Read more below 🧵

[Allora @AlloraNetwork]

We are proud to announce the @AlloraNetwork whitepaper ✳️

This document outlines the architectural blueprint, key innovations, and future aspirations of its self-improving decentralized AI network.

Read the whitepaper: https://t.co/B9i7G7qOJU

Check the key highlights below 🧵