Web3Gen0

@web3gen0

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OneFootball Club

@onefootballclub

New OneFootball Club marketing vision by @dnns dropped 👇 https://x.com/dnns_eth/status/1947597282511352218

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Pendle’s PT-ATH lets you grab eATH at a fat discount and yes, eATH below market price. Don’t wait for the crowd to catch on and pump it. Get in early. Stake smart. Lock yield. 💸 Your future self will thank you. Aethir is the highly undervalued.

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OpenAI and Google fight for gold Experimental AI models from OpenAI and Google have both achieved gold-medal scores in the annual International Math Olympiad (IMO)—the world’s biggest, most challenging math competition for high school students. However, OpenAI didn’t officially enter the competition: They chose to complete the competition in their own time and publish the results before the IMO published the official scores. This sparked controversy and a public backlash from Google, who was invited to participate in the competition and waited for the IMO to publish its results, so they didn’t “steal the spotlight from the students.” Google and OpenAI both used “informal” AI systems, which translate, understand and answer questions, without human input to compete (Google scored silver last year, using a model that needed human input). Both models followed the same rules as the students. This included sitting two, 4.5-hour exams, over two days, to solve a total of six questions, with no access to the internet or any other tools. IMO officially verified that Google’s model answered 5 out of the 6 questions correctly (scoring higher than most IMO students) and OpenAI announced that their model also scored the same. Putting whether OpenAI did or didn’t formally enter the IMO competition aside, the gold-level results highlight a significant breakthrough for AI reasoning models and their ability to solve advanced math problems. It also shows how close Google and OpenAI are in terms of progress, which is something that will undoubtedly intensify the already fierce competition to hire the industry’s best AI talent. https://in.mashable.com/tech/97400/openai-claims-gold-medal-performance-at-prestigious-math-competition-drama-ensues

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what did you do bro? it went for a straight vacation lol

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🤖 How many questions must we ask to prove AGI? A thought-provoking piece by Dr. Lance Eliot explores whether 50…500…or even 4 billion questions might be needed to test true general intelligence in AI. Asking too few misses the depth of human cognition. Asking too many? Logistically wild. But the real question is: Are we even close to asking the right ones? 🧠 Link: https://www.forbes.com/sites/lanceeliot/2025/07/20/the-number-of-questions-that-agi-and-ai-superintelligence-need-to-answer-for-proof-of-intelligence/

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🚀 “The world needs 100× more compute than we thought last year.” said by Jensen Huang, CEO of @nvidia . That’s not a forecast. That’s a wake-up call. As NVIDIA’s market cap crosses $4T and the H20 chip returns to China, one thing is clear: GPUs are the new oil. 🌍 Enter Aethir Edge, a decentralized GPU infrastructure built for the AI era. While NVIDIA builds the most powerful chips, Aethir Edge powers a global network of 65K+ edge devices, offering scalable, community-driven GPU compute across AI, gaming, cloud, and more. We don’t just consume the future. We help build it.

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AI Didn't Kill Jobs... It Rewired Them. IBM made headlines by laying off 8,000 employees for AI-driven efficiency. But here’s the twist: they hired back just as many and this time in roles like engineering, sales, and marketing. What looked like a classic cost-cutting move became a blueprint for AI-enabled workforce reinvention. By letting AI handle 94% of repetitive HR tasks, IBM freed up $3.5B in efficiency and redirected talent toward high-impact, human-centered work. The message? AI isn't just replacing roles. It's redesigning the workforce. https://www.peoplematters.in/news/performance-management/ibm-fires-8000-for-ai-efficiencythen-quietly-rehires-to-fill-the-gaps-45659

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Aethir is redefining how we scale GenAI. While reading this excellent paper on scaling GenAI systems, one thing stood out is the shift from Scaling Up and Scaling Down to Scaling Out. That’s exactly where Aethir is making a massive difference. By providing decentralized GPU infrastructure at the lowest cost, Aethir enables AI to move beyond centralized, resource-heavy models into scalable, inclusive, and adaptive deployments. If you’re into GenAI infra trends, this paper is worth a read: https://arxiv.org/html/2502.01677v1

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Really enjoyed this! The shareware comparison hits home. Excited to see where this new phase takes us.

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Organizations are hitting walls.. memory walls, data bottlenecks, and power bills, trying to scale AI on outdated foundations. But a new stack is emerging: • ⚡ NVMe SSDs with built-in compression • 🧠 CXL modules to break memory limits • 🔐 Caliptra for hardware-level trust Together, they redefine what “scalable AI” really means. The future of AI isn’t just model-first… it’s infra-smart. https://www.genaitoday.ai/topics/genai-today/articles/462188-rising-ai-driven-infrastructure-costs-expose-critical-weaknesses.htm

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OneFootball Club

@onefootballclub

OneFootball Club x CoinList 🤝 We are excited to announce one of the most community-favourable token sales ever: $OFC. ✨ Sale Details: https://coinlist.co/onefootball ✨ Sale FDV: $50M (same as stakeholders) Mark your calendar: 👉 July 24th 👈

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Fair point on the Sonnet switch. But scaling compute to that level is less about one model and more about enabling future multimodal and agentic systems. Meta’s move shows they are thinking long term.

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Good point Colin. Restrictions on government devices are common, but removing an app from stores shows a stronger push for data protection. Even if people can still access it via the web, it highlights growing concerns around cross-border data use and compliance.

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thank you for the conversation

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Help me boost my rank 🫩

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🚨 Gmail AI Users, Be Alert! 🚨 A new prompt injection threat is targeting Gmail's AI-powered features. Hidden within emails using invisible white-on-white text are malicious instructions designed to trick Google Gemini into generating fake security alerts that look real. 📌 If you see a Google warning in an AI-generated email summary, don’t trust it. It could be an attacker’s trap. This vulnerability, reported by 0din (Mozilla’s zero-day team), highlights how AI summaries can be hijacked—making every AI interaction a potential attack surface. As 0din puts it: “Prompt injections are the new email macros.” 🔐 Tip for users and teams: Never rely on Gemini summaries for security alerts. Avoid emails with hidden elements like white or zero-width text. Treat every AI-generated output with caution. AI is changing the game. So must your security awareness. 🧠🔒 https://www.forbes.com/sites/zakdoffman/2025/07/14/googles-gmail-warning-if-you-see-this-youre-being-hacked/?ctpv=searchpage

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Data Privacy Alert in Europe Germany’s data protection commissioner has officially reported Chinese AI app DeepSeek to Apple and Google, urging its removal from their app stores. The reason? Alleged illegal transfer of user data to China without proper EU safeguards. Meike Kamp, Berlin’s data protection chief, stated DeepSeek failed to prove it protects user data in line with GDPR. Chinese law’s broad access to personal data further raises red flags. Germany follows Italy, which banned the app earlier this year over similar privacy concerns. The question now: Will Apple and Google act? Privacy and compliance are no longer optional.

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lmao this is hilarious

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Why the EU AI Act Is a Data Literacy Wake-up Call New EU regulations mandate workforce AI literacy as foundation for responsible implementation https://aibusiness.com/generative-ai

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