Sonic price

Wait a minute, why do I have so many things to do these days? Let’s organize a bit - - - - - Main Projects 1. @SentientAGI - Received seed investment of $85M, but are you not doing anything? 2. @MMTFinance - TVL exceeded 500M, but are you not doing anything? - It’s the top DEX on Sui, but are you not doing anything? - It’s also listed on BidPad, but are you not doing anything? 3. @Talus_Labs - Somehow got picked as a KOL and became the main one - Wouldn’t it be nice to yap together with the Sui crew? - - - - - Sub Projects 1. @AlloraLabsHQ - Received $33M investment and it’s said to be a short-term yap, but are you not doing anything? - But is it really short-term? Why is it getting longer? 2. @Everlyn_ai - Betrayed in the yap, but season 2 seems promising - Anyway, since it’s already paid for, let’s just make the video diligently 3. @rainbowdotme - Could become an important dApp in the @base camp - It’s a pretty fundamental wallet, so I’m keeping an eye on it 4. @SonicLabs - Season 1 just ended, but season 2 also has tasty rewards - They say season 2 will give rewards every month for 3 months 5. @billions_ntwk - High-quality project, a genuine selection by @powitkorea - I’ve also purchased NFTs to start yapping seriously 6. @irys_xyz - One of the picks from the Kogatu team, aiming for a taste test - It’s a project that has been yapping for about 4 months, so the leaderboard is tough - Still, I plan to aim for just the top 1,000 7. @monad - Recently hit a pre-market FDV of 15B, a super whale - Yap rewards haven’t been disclosed, but onboarding is done - Honestly, aiming for the leaderboard feels a bit shameless, but at least I’ll try a taste test.. 8. @moonbirds - Honestly, I wasn’t doing anything because I couldn’t get NFT boosting - But I heard news that the $BIRD token is coming out - Seeing all the KOLs using Moonbird PFP makes me feel a sense of urgency - - - - - Before Kaito Onboarding / Other Platforms 1. @GoKiteAI - Made a statement about Kite-Oh at Kaito => Isn’t it highly likely that they are onboarding at Kaito? 2. @gaib_ai - The badge has already been confirmed in the API - Kogatu has been consistently holding events - I believe the deposit season is the last one (TGE SOON?) 3. @dango - There’s Starboard on GALXE - A promising candidate, PuffDex - However, since it’s still in the testnet, yapping is the best option - - - - - I don’t know why there are so many projects that look delicious. It seems that recently MIRA and FALCON have been feeding us so well, and I’m anxious about which project will show such performance again, so I’m trying to keep track of everything. Busy, busy life of a yapper..

Allora Network Collective Intelligence @AlloraNetwork is a decentralized collective intelligence protocol designed to overcome the structural limitations of centralized AI development models. This network is built on the Cosmos blockchain and implements 'self-improving collective intelligence' where individual models enhance their performance through mutual evaluation and feedback, rather than learning in isolation. This is an attempt to address the opacity, bias, and concentration of control issues inherent in traditional single AI models, presented as an alternative to an AI ecosystem dominated by centralized corporations. The structure of Allora is divided into three key components. First, through a distributed model collaboration structure, multiple worker models participate in specific topic units, evaluators verify performance, and coordinators integrate the aggregated results based on weights. Second, through a self-improvement loop based on peer evaluation, the network continuously increases accuracy. Each model predicts the performance of other models, and weights are readjusted by comparing with actual results. Third, it operates on a 'Pay What You Want (PWYW)' structure, allowing users to pay as much as they wish to request predictions. Consequently, models receive rewards proportional to their performance and accuracy, and network resources are dynamically allocated based on market demand. As of the testnet, Allora has conducted over 690 million inferences, with more than 288,000 models active across 55 topics. In short-term Bitcoin directional predictions, it showed a statistically significant advantage over random predictions with over 53%, and over 58% in long-term predictions. This data suggests that the predictive accuracy of the collective intelligence approach yields higher contextual awareness performance than a single model approach. From a technical perspective, Allora implements zero-knowledge machine learning (zkML) to prove the legitimacy of computations without disclosing the internal structure or datasets of the models. This feature addresses the 'black box' problem of centralized AI, allowing reliable prediction results to be verified on-chain. This technology has been integrated with DeFi protocols like PancakeSwap, generating over $3.8 million in betting transaction volume, proving its effectiveness. In terms of ecosystem expansion, Allora has formed strategic partnerships with AWS, @plumenetwork, ZKsync, gumi, and @SonicLabs. AWS provides infrastructure support, Plume utilizes data from the real-world asset (RWA) market, and ZKsync is responsible for layer 2 expansion. Additionally, thanks to the decentralized structure based on Cosmos, topic generation and model deployment are resistant to censorship, and governance through the $ALLO token enables a participant-centered ecosystem. However, from a long-term perspective, several structural risks exist. Centralized AI companies secure over $12 billion in annual AI revenue and overwhelming computational resources, significantly outpacing decentralized models in speed and efficiency. Furthermore, zkML verification incurs 10 to 100 times the computational costs compared to centralized systems, and the Cosmos network's limit of about 1,000 TPS makes it challenging to perform large-scale AI tasks on-chain. Legally, the responsibility of decentralized networks remains unclear under AI regulatory bills (EU AI Act) and data protection regulations (GDPR, etc.), and there is a risk that the ALLO token could be considered a security. In conclusion, Allora Network can be seen as an experimental attempt to provide a technical and economic alternative to the opacity and control issues of AI. It has already proven its technical feasibility on the testnet and has established a verifiable decentralized inference infrastructure, securing a unique position in the Web3 AI infrastructure market. However, the actual stability and scalability, regulatory responsiveness, and expansion of ecosystem participation after the mainnet launch remain critical variables for success. If this network can induce large-scale participation and solve computational efficiency issues, Allora could position itself as a substantial counterweight to the centralized AI order. Conversely, if technical bottlenecks or regulatory risks materialize, the vision of 'verifiable decentralized AI' may remain confined to a limited niche market.

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