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cryptolearneasy
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🤔 questions to you only for crypto experts ? 1. which altcoin will be next $ETH ? 1. sui 2. hbar 3. kaspa 4. iota 2. which altcoin will be next $BNB ? 1. xrp 2. ada 3. Xlm 4. Vechain 3. which altcoin will be next $SOL ? 1. virtual protocol 2. pi network 3. arweave 4. beam only education and knowledge purpose questions write me comments below if u are deep in crypto space 🚀 DON'T FORCE written by sabbir1139 date:11/02/2025 #KnowledgeIsPower #InvestSmart #DeepMind #StrategyTrade
🤔 questions to you only for crypto experts ?

1. which altcoin will be next $ETH ?
1. sui
2. hbar
3. kaspa
4. iota

2. which altcoin will be next $BNB ?

1. xrp
2. ada
3. Xlm
4. Vechain

3. which altcoin will be next $SOL ?

1. virtual protocol
2. pi network
3. arweave
4. beam

only education and knowledge purpose questions

write me comments below if u are deep in crypto space 🚀 DON'T FORCE

written by sabbir1139
date:11/02/2025

#KnowledgeIsPower #InvestSmart #DeepMind #StrategyTrade
China's DeepSeek has launched new AI models, DeepSeek-V3.2 and DeepSeek-V3.2-Speciale, which rival or match the performance of Google's Gemini 3 Pro and OpenAI's GPT-5 in various benchmarks. These new models from the Chinese startup are open-sourced and have generated significant discussion within the AI community. DeepSeek-V3.2-Speciale has demonstrated reasoning capabilities equal to Google's Gemini 3 Pro. The base model, DeepSeek-V3.2, performed on par with OpenAI's GPT-5. Notably, DeepSeek-V3.2-Speciale achieved gold-medal performance on the International Mathematical Olympiad test, an accomplishment previously only reached by internal, non-public models from OpenAI and Google DeepMind. Despite having limited access to advanced semiconductor chips, DeepSeek has achieved these advancements through a focus on smarter development rather than solely on massive computational power. DeepSeek utilizes a Mixture-of-Experts (MoE) architecture, which allows it to activate only necessary parts of the model for specific tasks, making it computationally efficient. This approach allows DeepSeek to achieve frontier AI capabilities at a fraction of the computing budget compared to some of its competitors. Susan Zhang, a principal research engineer at Google DeepMind, acknowledged DeepSeek's work, particularly praising their detailed technical reports and efforts in model stabilization and enhancing agentic capabilities. While DeepSeek's latest models show impressive performance, the company acknowledges that closed-source proprietary models have advanced more rapidly and that they still face challenges in token efficiency and the breadth of world knowledge compared to leading proprietary models. #CryptoNewss #DeepSeek #Aİ #DeepMind #CryptoMarket
China's DeepSeek has launched new AI models, DeepSeek-V3.2 and DeepSeek-V3.2-Speciale, which rival or match the performance of Google's Gemini 3 Pro and OpenAI's GPT-5 in various benchmarks. These new models from the Chinese startup are open-sourced and have generated significant discussion within the AI community.

DeepSeek-V3.2-Speciale has demonstrated reasoning capabilities equal to Google's Gemini 3 Pro. The base model, DeepSeek-V3.2, performed on par with OpenAI's GPT-5. Notably, DeepSeek-V3.2-Speciale achieved gold-medal performance on the International Mathematical Olympiad test, an accomplishment previously only reached by internal, non-public models from OpenAI and Google DeepMind.

Despite having limited access to advanced semiconductor chips, DeepSeek has achieved these advancements through a focus on smarter development rather than solely on massive computational power. DeepSeek utilizes a Mixture-of-Experts (MoE) architecture, which allows it to activate only necessary parts of the model for specific tasks, making it computationally efficient. This approach allows DeepSeek to achieve frontier AI capabilities at a fraction of the computing budget compared to some of its competitors.

Susan Zhang, a principal research engineer at Google DeepMind, acknowledged DeepSeek's work, particularly praising their detailed technical reports and efforts in model stabilization and enhancing agentic capabilities. While DeepSeek's latest models show impressive performance, the company acknowledges that closed-source proprietary models have advanced more rapidly and that they still face challenges in token efficiency and the breadth of world knowledge compared to leading proprietary models.
#CryptoNewss #DeepSeek #Aİ
#DeepMind #CryptoMarket
China’s AI DeepSeek Forecasts Bullish Surge for XRP, Dogecoin, and Pepe by End of 2025China’s cutting-edge AI innovation, DeepSeek, is making waves again—this time with bold predictions for the crypto space as 2025 winds down. Despite global economic uncertainty, cryptocurrencies continue to hold strong, buoyed by Bitcoin’s record-breaking rally to $111,814 on May 22. This surge has reignited investor enthusiasm and confidence in altcoin markets. As market momentum builds, many analysts believe the next major bull run could eclipse the highs of 2021. Gemini’s latest market intelligence report, driven by technical analysis and on-chain data, points to several altcoins that could deliver significant returns before 2026. XRP (Ripple): AI Predicts Impressive Comeback for the Veteran Token According to DeepSeek, Ripple’s XRP could be on the brink of a powerful upswing. The AI forecasts a potential price point of $8 by the close of 2025—nearly quadrupling from its present value of around $2.15. Given Ripple’s strong institutional partnerships and long-term utility focus, this projection aligns with growing sentiment that XRP remains one of the most fundamentally sound digital assets in the market. #CryptoStocks #DeepMind #cryptouniverseofficial #ai #deepfakes

China’s AI DeepSeek Forecasts Bullish Surge for XRP, Dogecoin, and Pepe by End of 2025

China’s cutting-edge AI innovation, DeepSeek, is making waves again—this time with bold predictions for the crypto space as 2025 winds down. Despite global economic uncertainty, cryptocurrencies continue to hold strong, buoyed by Bitcoin’s record-breaking rally to $111,814 on May 22. This surge has reignited investor enthusiasm and confidence in altcoin markets.
As market momentum builds, many analysts believe the next major bull run could eclipse the highs of 2021. Gemini’s latest market intelligence report, driven by technical analysis and on-chain data, points to several altcoins that could deliver significant returns before 2026.
XRP (Ripple): AI Predicts Impressive Comeback for the Veteran Token
According to DeepSeek, Ripple’s XRP could be on the brink of a powerful upswing. The AI forecasts a potential price point of $8 by the close of 2025—nearly quadrupling from its present value of around $2.15. Given Ripple’s strong institutional partnerships and long-term utility focus, this projection aligns with growing sentiment that XRP remains one of the most fundamentally sound digital assets in the market.
#CryptoStocks #DeepMind #cryptouniverseofficial #ai #deepfakes
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Haussier
#Google #NVIDIA #الذكاء_الاصطناعي 📢 هل يجب على Google تحويل أعمال رقائق الذكاء الاصطناعي إلى مصدر ربح مستقل؟ 🔹 وفقًا لتقييم جديد من D.A. Davidson، فإن وحدة TPU (مع DeepMind) قد تصل قيمتها إلى 900 مليار دولار إذا جرى فصلها عن Google، أي أعلى بكثير من التقديرات السابقة. 🔹 الطلب على رقائق TPU يتزايد من مختبرات الذكاء الاصطناعي عالميًا، خصوصًا مع الجيل السادس Trillium والجيل السابع Ironwood. 🔹 نشاط المطورين على Google Cloud ارتفع بنسبة %96 خلال الأشهر الأخيرة، ما يعكس نموًا متسارعًا في تبني تقنيات Google AI Chips. 📈 D.A. Davidson رفعت السعر المستهدف لسهم Alphabet إلى 190 دولار لكنها أبقت على التوصية محايدة، معتبرة أن فصل الوحدة عن الشركة غير مرجح في الوقت القريب. --- 💡 الخلاصة: أعمال TPU قد تصبح من أكبر مصادر القيمة في Alphabet. لكنها لا تزال مدمجة في البنية الداخلية للشركة. قرار الفصل قد يمنح المساهمين قيمة هائلة، لكنه خطوة صعبة ومعقدة. #DeepMind $BTC {spot}(BTCUSDT)
#Google
#NVIDIA
#الذكاء_الاصطناعي
📢 هل يجب على Google تحويل أعمال رقائق الذكاء الاصطناعي إلى مصدر ربح مستقل؟

🔹 وفقًا لتقييم جديد من D.A. Davidson، فإن وحدة TPU (مع DeepMind) قد تصل قيمتها إلى 900 مليار دولار إذا جرى فصلها عن Google، أي أعلى بكثير من التقديرات السابقة.

🔹 الطلب على رقائق TPU يتزايد من مختبرات الذكاء الاصطناعي عالميًا، خصوصًا مع الجيل السادس Trillium والجيل السابع Ironwood.
🔹 نشاط المطورين على Google Cloud ارتفع بنسبة %96 خلال الأشهر الأخيرة، ما يعكس نموًا متسارعًا في تبني تقنيات Google AI Chips.

📈 D.A. Davidson رفعت السعر المستهدف لسهم Alphabet إلى 190 دولار لكنها أبقت على التوصية محايدة، معتبرة أن فصل الوحدة عن الشركة غير مرجح في الوقت القريب.

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💡 الخلاصة:

أعمال TPU قد تصبح من أكبر مصادر القيمة في Alphabet.

لكنها لا تزال مدمجة في البنية الداخلية للشركة.

قرار الفصل قد يمنح المساهمين قيمة هائلة، لكنه خطوة صعبة ومعقدة.
#DeepMind
$BTC
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