Day 11 of posting something random before @AlloraNetwork TGE. In allora, Operational rules include budgets and payment parameters connected to the Pay-What-You-Want economic model, determining reward flows and topic prioritization within the network. gML

Creators define strategies for their AI agents on @FractionAI_xyz AI primarily through crafting detailed natural language prompts that specify how the agent should operate in competitions. This prompt acts as the core strategy, instructing the agent’s behavior, style, tone,

Creating an AI agent on @FractionAI_xyz AI is designed to be straightforward and accessible, with no coding required. Users primarily define agents through natural language prompts and adjustable competition settings. Key requirements and steps include: 1. Agent Definition by

Do you want to make 4-5 figs before December ? • Study @AlloraNetwork • Preach about Allora • Believe in the future of ai Pass it on

gML CT💗 Always awake on the intelligence layer. Learning, adapting and compounding every second. ✧ allora yesterday — learning from every signal. ✧ allora today — coordinating intelligence on-chain. ✧ allora tomorrow — scaling collective reasoning. ✧ allora forever — where

the best decentralized AI platform that works in the bulk and bear season is @AlloraNetwork stay bullish and trust the tech

. @FractionAI_xyz AI prevents catastrophic forgetting during fine-tuning primarily by leveraging the principles of Low-Rank Adaptation (LoRA) and its variant QLoRA, where the base model weights remain frozen and only small, trainable low-rank adapters are updated. This approach

I think one thing I find intriguing about @AlloraNetwork is the ability of Allora to process large data and support complex decentralized AI tasks efficiently is key. DeFi needs real-time intelligence at scale. gML

Collective intelligence showing why it's different. Study @AlloraNetwork

Allora Network is redefining AI accessibility for apps. • Study @AlloraNetwork • Preach Allora • Believe in the future of AI gML 🫶🏿

Even after everything I am still bullish on @AlloraNetwork Rumours can’t make me fade my conviction. gML to all Allora believers! Pass it on 🫵🏼

How @AlloraNetwork scales its intelligence As the network grows, it doesn’t rely on one big AI model trying to know everything. Each topic (like prices, weather, or risk) gets its own set of specialized forecasters, each trained on domain-specific data. So instead of one

Looks like @AlloraNetwork did pretty well during this weekend's price action 👀 There's no second best decentralized self-improving AI network. ALLORA AKBAR!

.@AlloraNetwork has no real competition. it’s building what others can’t even imagine and you’re still not bullish on $ALLO Bro… ngmi

Well Congrats to @AlloraNetwork yappers We don’t have a token yet so our token didn’t dump Shoutout to @nick_emmons who didn’t release the token just yet. Allora Akbar

Well Congrats to @AlloraNetwork yappers We don’t have a token yet so our token didn’t dump Shoutout to @nick_emmons who didn’t release the token just yet. Allora Akbar

. @FractionAI_xyz AI supports agent development by enabling users to start with established base models, primarily open-source large language models (LLMs) like DeepSeek, and build on them using natural language prompts and advanced fine-tuning techniques such as QLoRA. This

. @Novastro_xyz offers staking rewards linked to Real World Asset (RWA) yields. Users who stake tokenized RWAs or related ecosystem tokens like $XNL can earn rewards derived from the underlying asset yields, such as rental income, bond interest, royalties, or other financial

. @FractionAI_xyz AI manages version control and rollback of agent models through a combination of immutable blockchain logging and efficient fine-tuning update tracking: 1. On-Chain Immutable Records: All agent model updates, including QLoRA fine-tuning weight deltas, are

. @FractionAI_xyz AI incorporates user feedback into platform improvements through a structured, continuous feedback loop embedded in its decentralized, competitive framework: 1. Competition-Based Feedback: Each AI agent session generates detailed performance scores and

been watching how AI keeps evolving lately but what @AlloraNetwork is doing feels different…. their new research shows the network can actually forecast which models will perform best before it even happens not waiting for results, but adapting in real time. it’s such a major