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As Phoenix AI Growth Points is expected to go live next week – PhoenixONE has leveled up once again in the meantime. Now, with the click of a button (new “Synthesize” feature) create full articles from entire conversations that go beyond in depth, quality, and data-driven rigor than much...

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Phoenix AI Labs

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14,390 Aufrufe • vor 1 Jahr •via X (Twitter)

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Awesome #phb

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With every new week PhoenixONE gets smarter, more enhanced data, and new features. Buzz, social, and crypto category-specific data is now integrated with AlphaNet QuickQuery Research Agent. Conduct quick research on the newest trending tokens and the chatter associated with them – combine with Phoenix Crypto Research to dig deep into the details. Try it together with the new UIUX theme customization feature! (starting with Light, Dark, and Phoenix Modes) PhoenixONE is transforming AI-driven intelligence and knowledge acquisition in the crypto space – social sharing & content creation leaderboards coming soon! #DeepResearch #DeFAI $PHB
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With every new week PhoenixONE gets smarter, more enhanced data, and new features. Buzz, social, and crypto category-specific data is now integrated with AlphaNet QuickQuery Research Agent. Conduct quick research on the newest trending tokens and the chatter associated with them – combine with Phoenix Crypto Research to dig deep into the details. Try it together with the new UIUX theme customization feature! (starting with Light, Dark, and Phoenix Modes) PhoenixONE is transforming AI-driven intelligence and knowledge acquisition in the crypto space – social sharing & content creation leaderboards coming soon! #DeepResearch #DeFAI $PHB

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PhoenixONE just got better – have further conversations about content covered in Phoenix Deep Research and Phoenix Crypto Research chats to dive into the topic and research even deeper. Try the “Continue Asking” feature! We are less than 2 weeks in and now over 2500+ users strong. PhoenixONE is reshaping knowledge acquisition and AI-driven intelligence. #DeepResearch #AIAgent $PHB
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PhoenixONE just got better – have further conversations about content covered in Phoenix Deep Research and Phoenix Crypto Research chats to dive into the topic and research even deeper. Try the “Continue Asking” feature! We are less than 2 weeks in and now over 2500+ users strong. PhoenixONE is reshaping knowledge acquisition and AI-driven intelligence. #DeepResearch #AIAgent $PHB

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The changes in the Algo and what Elon is truly trying to do - here is the full breakdown. A couple of Quick Points: - It all represents a really significant shift in what we’re about to see in our feed and the overall experience on X. - The shift from reply guy tactics to authenticity is where it’s all headed. - The value of a post will not be defined by engagement in its entirety but by the native value of the content. Current State: - Content visibility, including posts and replies, is currently unevenly prioritized, with manually written heuristics favoring recommendations to followers, benefitting large accounts but limiting the reach of smaller ones. - The "For You" algo heavily relies on these heuristics - impacting content reach and potentially hindering smaller accounts, regardless of content quality. Proposed Changes: - Algo defined value assignment to content will be driven by End-to-End Architecture based AI. - User-specific vectors, representing preferences, will guide content prioritization, providing a refreshed user experience within the feed that is inclusive and personalized. - The new approach will promote quality content across the entire user base, irrespective of account size. Additional Insights: - Elon emphasizes that AI will play a pivotal role in content importance assignment, suggesting a departure from the current manually-driven processes. - The algo will differentiate between content from accounts users follow (non-AI recommended) and those they don't (AI recommended), which should significantly improve the diversity of the content we’re exposed to. Implications: The proposed changes signify a fundamental transformation in how content is presented and recommended, with a move towards a more democratic and AI-driven system. Smaller accounts may benefit from increased visibility, creating a more level playing field based on content quality rather than follower count. Theories: - The mention of AI-differentiated recommendations for followed and non-followed content suggests a strategic effort to broaden user exposure to diverse content. - The shift towards an AI-powered recommendation system indicates a commitment to enhancing user experience by tailoring content suggestions based on individual preferences. What we’re looking at is a change that finally addresses the FOMO dynamic between accounts with reach and truly compelling content. It will be a major chance for new accounts, small accounts, and anyone really - to advance into the greater ecosphere they were left out of before. Goodbye, reply guy. Hello, value adding content. These conclusions are based on the recent interview of Elon Musk by Lex Fridman.
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The changes in the Algo and what Elon is truly trying to do - here is the full breakdown. A couple of Quick Points: - It all represents a really significant shift in what we’re about to see in our feed and the overall experience on X. - The shift from reply guy tactics to authenticity is where it’s all headed. - The value of a post will not be defined by engagement in its entirety but by the native value of the content. Current State: - Content visibility, including posts and replies, is currently unevenly prioritized, with manually written heuristics favoring recommendations to followers, benefitting large accounts but limiting the reach of smaller ones. - The "For You" algo heavily relies on these heuristics - impacting content reach and potentially hindering smaller accounts, regardless of content quality. Proposed Changes: - Algo defined value assignment to content will be driven by End-to-End Architecture based AI. - User-specific vectors, representing preferences, will guide content prioritization, providing a refreshed user experience within the feed that is inclusive and personalized. - The new approach will promote quality content across the entire user base, irrespective of account size. Additional Insights: - Elon emphasizes that AI will play a pivotal role in content importance assignment, suggesting a departure from the current manually-driven processes. - The algo will differentiate between content from accounts users follow (non-AI recommended) and those they don't (AI recommended), which should significantly improve the diversity of the content we’re exposed to. Implications: The proposed changes signify a fundamental transformation in how content is presented and recommended, with a move towards a more democratic and AI-driven system. Smaller accounts may benefit from increased visibility, creating a more level playing field based on content quality rather than follower count. Theories: - The mention of AI-differentiated recommendations for followed and non-followed content suggests a strategic effort to broaden user exposure to diverse content. - The shift towards an AI-powered recommendation system indicates a commitment to enhancing user experience by tailoring content suggestions based on individual preferences. What we’re looking at is a change that finally addresses the FOMO dynamic between accounts with reach and truly compelling content. It will be a major chance for new accounts, small accounts, and anyone really - to advance into the greater ecosphere they were left out of before. Goodbye, reply guy. Hello, value adding content. These conclusions are based on the recent interview of Elon Musk by Lex Fridman.

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First upgrade of PhoenixONE is here - featuring agent thought log. As the research agent is thinking, get a glimpse into the data, insight extraction, and underlying processes. On an average query, Phoenix Crypto Research & Deep Research performs rapid AI contextual search & analysis on 40-50 data sources. On the user growth side - Vietnam Wave 2 coming right up. Meanwhile, Turkey Wave 1 is about to start! $PHB #PhoenixAI #DeepResearch
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PhoenixONE, the next-gen AI agents platform for Web 3 intelligence, is now here in Beta. Today’s launch includes: 1) Phoenix Crypto Research – proprietary AI deep research agent optimized for the crypto market. Obtain in-depth research of projects, investment analysis, technology, specific events, and macro environment in real-time. 2) Phoenix Deep Research - agent for in-depth, multi-step, knowledge-intensive research across various topics, including trading & markets, academic research, journalism, coding, travel & shopping planning, technology, and more. 3) AlphaNet QuickQuery - crypto research assistant that can quickly retrieve information regarding tokens, including prices, supply, market caps, orderbook, holders, on-chain data, DEXs/liquidity pools, and more. 4) Newest foundational base models Deepseek R1 (671B) and Alibaba Qwen 2.5 Access and test PhoenixONE here: In the following week, we have invited various ecosystem partners, KOLs, and platform partners to test drive PhoenixONE – expect new features to be added and performance optimizations to be conducted on a weekly basis. #DeepResearch #AIAgents #PhoenixAI $PHB
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.meow talks to Youtube co-founder steve chen about UGC and UGM: “You’re obviously one of the pioneers of this thing called UGC, right? User Generated Content. And then what we are seeing now in this space is what I call UGM — User Generated Money. In UGC, the value is created from the users. And then in Web3 or crypto, the value is generated from the users too. In UGC, we move from an era of the big studios—the big studios create the content, they monetize the content, and they get the value from the content. But what you did is that you democratized the process. You allowed users to create the content, market the content too, and also get the value from the content. For example, if you’re Netflix, you have to make the content, market it, and run advertising globally. You go anywhere across the world—Japan, Tokyo, Europe—you see Netflix advertisements everywhere. But in this new era, the users are the ones that market their own content. And the same thing is happening in the crypto world. The users are generating the money, marketing the money, and getting the value of the money. There are a lot of nuances to this but generally speaking, it’s fascinating because we are really at the nexus of UGC and UGM.”
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.meow talks to Youtube co-founder steve chen about UGC and UGM: “You’re obviously one of the pioneers of this thing called UGC, right? User Generated Content. And then what we are seeing now in this space is what I call UGM — User Generated Money. In UGC, the value is created from the users. And then in Web3 or crypto, the value is generated from the users too. In UGC, we move from an era of the big studios—the big studios create the content, they monetize the content, and they get the value from the content. But what you did is that you democratized the process. You allowed users to create the content, market the content too, and also get the value from the content. For example, if you’re Netflix, you have to make the content, market it, and run advertising globally. You go anywhere across the world—Japan, Tokyo, Europe—you see Netflix advertisements everywhere. But in this new era, the users are the ones that market their own content. And the same thing is happening in the crypto world. The users are generating the money, marketing the money, and getting the value of the money. There are a lot of nuances to this but generally speaking, it’s fascinating because we are really at the nexus of UGC and UGM.”

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David Friedberg: “Gaming is the future of entertainment, and the future of gaming is AI.” @jason: “Friedberg, what are your thoughts on the gaming industry versus social media versus traditional media?” david friedberg: “One way to answer that question is to think about how people spend their time.” “Do you spend more minutes on social media, or on traditional media, or playing games? And how is that trending?” “But importantly, which of those will accrue more benefit, and as a result, drive more hours spent from AI?” “One way to think about this thesis is that AI is going to ultimately accrue to video game entertainment far more than social media entertainment or traditional content.” “If you believe in AI, and you believe in the improvements in productivity, generally speaking, people in the industrialized world will generally have more free time on their hands and be able to support themselves with the deflationary effects of AI over time.” “So if there's more time on people's hands, the general market for entertainment is growing, and if the general market for entertainment is growing, gaming is the future of entertainment, and the future of gaming is AI.” “Because I think you can create dynamic, more engaging experiences that will benefit from a back and forth sort of relationship than you can with traditional content or with social media.” “If you're a noob in Fortnite, like you're an early player in Fortnite, you're mostly playing against AI, because what they do is they tune the AI to be easier to beat so that you can slowly develop your skills.” “What was happening early was they were seeing a high degree of churn in Fortnite because kids would go on and play for the first time and they'd get paired up with kids that were better than them, and so they would never win, and they would get frustrated and they would quit the game and stop.” “So the churn rate was high. So AI unlocked higher engagement and higher retention, and I think we're seeing that in a lot of different gaming platforms now.” “So AI can be used, for example, to maximally increase time, engagement, satisfaction, happiness.”

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Today, we're announcing the next evolution of Sword Thrive: a fully revamped experience anchored by a new conversational care model, Vision AI, and a more powerful Phoenix. At the center of this evolution is a first-of-its-kind care model: a 3-way chat connecting the member, Phoenix, and their Doctor of Physical Therapy in a single interface, making continuous, 24/7 care possible for the first time, with the clinical oversight only a human specialist can provide. Vision AI, our proprietary technology trained on years of movement data, now delivers precise movement detection in real-world home environments - cluttered, noisy, and everything in between - and runs entirely through the Sword Health app on smartphones and tablets. Phoenix, our AI Care Specialist, is now more capable as well, providing deeper, personalized two-way conversational guidance and real-time form correction, adapting to each member as they move. From proactive care to continuous recovery, this is how healthcare should show up: with reliability, clinical memory, and real-time support that never drops the thread. Watch the video to see it in action:

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