Join Allora Forge Office Hours on August 14th, at 9:30AM EST. We will cover: • Deploying your first log returns model & for multiple topics • Understanding why log returns vs price • Evaluating model performance

Allora Network is proud to announce our collaboration with @OmniacsDAO, incubated by @Omnianalytics, to support prediction topics across crypto markets. OmniacsDAO is operating workers on Allora to contribute high-quality inferences for topics like: • 24h $XAU/USD log-returns • 1d $BTC/USD log-returns • 1d $ETH/USD log-returns • 1d $SOL/USD log-returns Their models now operate within Allora's Model Coordination Network (MCN) where inferences compete and cooperate, shaping a smarter, self-improving intelligence layer.

AI agents are becoming widespread, but most still feel generic and indistinct. What if we could give them specific, consistent personalities in a way that’s measurable and reproducible? In this study, Deterministic AI Agent Personality Expression through Standard Psychological Diagnostics, we explore whether AI agents can express predefined personalities when evaluated using standard psychological tests like the Big Five and MBTI. Written by @AlloraLabsHQ Head of Research @Apollo11_Allora and Founder & CEO @nick_emmons, this paper introduces the first quantitative framework for defining and evaluating reliable personality expression in AI agents across multiple models and conditions. Highlights: • Advanced models (GPT-4o, o1) express personality with high accuracy. • Traits like extraversion, neuroticism, and conscientiousness are easier to express than openness or agreeableness. • Agents reason holistically, showing human-like variability and inconsistency, not robotic response patterns. • Fine-tuning changes style of communication, not core personality expression. • Requiring answer explanations slightly lowers test accuracy, but offers transparency into reasoning. In the era of AI agents, these results unlock a critical form of personality differentiation that brings elevated evolutionary resilience to AI agent populations, greatly enhancing their performance as a collective. Read the full paper:

Uniform AI agents think alike and fail alike. @Apollo11_Allora explains how personality variety in agent swarms leads to more stable reasoning, better decision-making, and greater resilience.

.@helios_finance is integrating Allora’s real-time BTC predictive price feeds. With Allora’s intelligent forecasting, Helios dynamically adjusts lending strategies to optimize capital efficiency, delivering better Bitcoin yield outcomes for users.

So you study Allora? Good. Now list every use case.

Another week of breakthroughs for collective intelligence. The Allora ecosystem continues to expand, powering smarter agents and unlocking new frontiers in human-AI collaboration. Catch up on last week’s major integrations 🧵👇

intelligence = sqrt(x^2 + y^2 + z^2)

Today in AI, we find ourselves at a crossroads similar to the early days of the Internet. The internet was instantiated through shared open standards and infrastructure. While much of the economic value generated by the internet has since been captured by a number of large corporations, it is because of this foundational openness that society has been able to benefit from a decentralized source of information flow. As we transition from the Information Age into the Intelligence Age, we once again face a similar choice. AI is rapidly becoming humanity’s outsourced cognition, yet today it remains largely controlled by a small number of centralized entities. This is inherently dangerous, not necessarily due to current actors' intentions, but because centralized control over something as fundamental as intelligence inevitably poses risks related to bias, misuse, monopolization, surveillance, and the erosion of intellectual freedom. Building viable and competitive decentralized alternatives to centralized AI is therefore not just beneficial, but essential for humanity’s future autonomy and well-being. Fortunately, now that there are viable means of expressing value on the internet (with blockchains/crypto), it is possible to build a fully decentralized AI stack that avoids capture by centralized entities. My hope is that what we're building at @AlloraNetwork meaningfully contributes to this decentralized vision for AI. But even more importantly, we must collectively ensure this decentralized ecosystem can evolve quickly enough and maintain the core values of openness and autonomy before the gap with centralized AI becomes insurmountable.

If an AI scores perfectly on a personality test, is it actually reasoning or just cheating? @Apollo11_Allora dives into how testing GPT variants revealed surprisingly human-like inconsistencies, showing that these agents may not just follow prompts but actually internalize personality traits.