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Day 2 | Panel 03: Institutional DeFi 🎙️ A huge thank you to our speakers for an incredible Main Stage session on the evolution from degen yield to bank-grade rails: • @Gwenole_M | Global Developer Relations Lead, @BNBCHAIN • Manish Kumar, PhD | Co-Founder & CEO, @hellorealx • @MarkZalan_ | CEO, @GoMining • @oct_florian | Founder, @OnchainLabs_ Moderated by: @anna_tutova | Founder, @aicryptominds Thank you for bringing massive alpha to Gardens by the Bay! 🇸🇬 #CoinFerenceX# #TheBestEvent#
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AI crypto is bigger than one narrative. Different projects are targeting different parts of the technology stack. $TAO → Decentralized AI markets solana:rndrizKT3MK1iimdxRdWabcF7Zg7AR5T4nud4EkHBof → GPU rendering and compute $AKT → Decentralized cloud computing $FET → AI agents and automation $NEAR → Blockchain infrastructure and AI-related development base:0x00f3c42833c3170159af4e92dbb451fb3f708917 → Onchain applications and computation ethereum:0xc944e90c64b2c07662a292be6244bdf05cda44a7 → Blockchain data indexing $AIOZ → Distributed infrastructure for media and computing filecoin:native → Decentralized data storage $LINK → Oracle infrastructure 🟢 Why watch this sector? • Growing demand for computing resources • New decentralized infrastructure models • Potential connections between AI and blockchain 🔴 Things to watch: • Actual customer demand • Token utility • Competition with centralized providers • Sustainable economics My take: AI is a powerful narrative, but the projects delivering useful services will be the ones to study closely. Which AI-related crypto project has the strongest use case?
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AI + crypto: the intersection of intelligence and trust. Decentralized AI could be more trustworthy than centralized models. #AI# #Trust#
AI + crypto is trending everywhere right now. But a lot of “AI crypto” still feels more branding than breakthrough. Most projects are: » adding ChatGPT features » launching flashy AI dashboards » calling basic outreach “AI-powered marketing” Meanwhile, the more interesting stuff is happening quietly in: » trading systems » automation » risk management » onchain decision making Feels like the gap between “AI narrative” and actual #AI# usage is getting very obvious now.
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Fetch AI partners with Google and Meta to drive AI development. Leading AI crypto platform @Fetch_ai has announced it has partnered with @cerebral_valley, @GoogleDeepMind, @Meta, and @MongoDB, for an AI-focused hackathon on November 7. The event is fully in-person in San Francisco and has $11,000 in total prizes. For now, the partnership between the companies is limited to the event itself, but could it pave the way for serious collaboration in the future...?
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🔥 LATEST: Grayscale says AI crypto assets gained 54% in September, outpacing the broader crypto market’s 24% rise, with NEAR surging 183%.
The merging of AI + crypto and the traditional finance world is happening at light speed. Robinhood Chain this past week was a major point in the history of this merge as traditional finance analysts were forced to upgrade HOOD on the back of "new revenue" streams. However, the ecosystem of tokens that benefitted from the HOOD story cannot be found in the WSJ. Do your homework now. The next year is about the merge.
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Truly determining AI upper limit is data modeling capability. This insight gives us more confidence in PAN Project's future data infrastructure! New ideas. New connections. Back to accelerate crypto × AI. 🚀 #AI# #Crypto#
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