Xyzver​​se Presale認為需求增加即將接近第11階段

Xyzver​​se是一個將體​​育硬幣和模因硬幣結合在一起的獨特項目，引起了加密社區的關注。

Chinese AI startup DeepSeek unveils ‘R1’ model, reportedly surpassing OpenAI’s performance for under $6 million

據報導

Deep learning has advanced significantly in recent years, largely driven by the increasing availability of powerful computing resources and vast datasets. This has enabled the development of highly capable AI systems, such as OpenAI’s models, which require substantial investments in the range of hundreds of millions of dollars.

近年來，深度學習取得了長足的進步，這在很大程度上是由於強大的計算資源和大量數據集的可用性的驅動。這使得能夠開發高功能強大的AI系統，例如OpenAI的模型，這些系統需要大量投資在數億美元的範圍內。

However, a Chinese artificial intelligence startup has emerged as a disruptive force, unveiling its groundbreaking “R1” model—an AI system that reportedly surpasses OpenAI’s performance while being built for under $6 million.

但是，一家中國人工智能初創公司已成為一支破壞力的力量，揭示了其開創性的“ R1”模型 - 據報導，AI系統超過了Openai的性能，同時以低於600萬美元的價格建造。

DeepSeek, founded in 2021 and backed by investors including Sequoia Capital China and Hillhouse Capital, has created an AI model that can perform various tasks, including image generation, natural language processing, and code writing, at a fraction of the cost of its competitors.

DeepSeek成立於2021年，並由包括紅杉資本中國和Hillhouse Capital在內的投資者的支持，創建了一個AI模型，可以以競爭對手的成本一小部分執行各種任務，包括圖像產生，自然語言處理和代碼寫作。

According to DeepSeek, the R1 model was trained on a dataset of 100 terabytes of text and code, using 256 Nvidia A100 GPUs for 10 days. The total cost of building the model, including hardware, electricity, and manpower, came to around $5.8 million.

根據DeepSeek的說法，使用256 NVIDIA A100 GPU 10天，對R1模型進行了100台文本和代碼的數據集培訓。建立該模型的總成本，包括硬件，電力和人力，約為580萬美元。

In comparison, OpenAI reportedly spent over $1.2 billion on compute costs alone to train its GPT-3 model, which was unveiled in 2020 and had 175 billion parameters at launch. R1, on the other hand, has 245 billion parameters, making it even larger than GPT-3.

相比之下，據報導，Openai僅花費了超過12億美元的計算費用來培訓其GPT-3型號，該GPT-3型號於2020年揭幕，並在發佈時擁有1750億個參數。另一方面，R1具有2450億個參數，使其大於GPT-3。

DeepAI’s lower costs and impressive performance have sparked a selloff in major tech stocks, as investors rotate out of high-growth names and into more value-oriented stocks.

隨著投資者從高增長的名稱中旋轉並轉換為更具價值的股票，迪佩（Deepai）的較低成本和令人印象深刻的業績引發了主要科技股的拋售。

The revelation of DeepAI’s R1 model triggered a sharp selloff in major tech stocks, dragging down giants like Nvidia, Broadcom, Microsoft, and Arm Holdings. The turbulence wasn’t limited to equities, as Bitcoin also felt the pressure, slipping back below the critical $100,000 level.

Deepai的R1模型的啟示引發了主要科技股的急劇拋售，拖延了Nvidia，Broadcom，Microsoft和Arm Holdings等巨人。湍流不僅限於股票，因為比特幣也感到壓力，低於關鍵的100,000美元水平。

The selloff began on Wednesday after the Nasdaq hit a record high, driven by strong earnings reports from several tech companies. However, the mood quickly shifted as news of DeepAI’s R1 model spread.

在納斯達克（Nasdaq）創下了紀錄的高度之後，拋售始於週三，這是由多家科技公司的強大收益報告驅動的。但是，隨著Deepai R1模型傳播的新聞傳播的消息，情緒很快發生了變化。

Investors, who had been piling into high-growth tech stocks amid the pandemic-induced market rally, are now rotating out of these names and into more value-oriented stocks. This shift is also being driven by concerns over rising inflation and interest rates, which could impact the valuations of growth stocks.

在大流行引起的市場集會中，投資者一直在堆積高生長的科技股，現在正在從這些名稱中旋轉並轉向更具價值的股票。這種轉變也是由於對通貨膨脹和利率上升的擔憂所驅動的，這可能會影響增長股票的估值。

Bitcoin fell below the key $100,000 level on Thursday as the broader market sell-off intensified. The world’s largest cryptocurrency had been hovering around $100,000 for the past few weeks, following a rapid ascent from $50,000 in October.

隨著更廣泛的市場拋售加劇，比特幣低於週四關鍵的100,000美元水平。在過去幾周中，過去幾週的全球最大的加密貨幣在10月的50,000美元迅速上升。

As of the time of writing, Bitcoin is trading close to its 10-day simple moving average of $102,685 and just below the 100-day average of $103,639. The Relative Strength Index (RSI) stands at 59.33, suggesting that Bitcoin is approaching overbought territory but still has room for growth. The Stochastic indicator is high at 86.83, which may point to potential short-term overbought conditions. The MACD level of 423.63 indicates continued bullish momentum.

截至撰寫本文時，比特幣的交易價格接近其10天的簡單移動平均值102,685美元，低於103,639美元的100天平均值。相對強度指數（RSI）為59.33，表明比特幣正接近超買的領土，但仍然有生長的餘地。隨機指標在86.83處很高，這可能指向潛在的短期過份條件。 423.63的MACD水平表明持續看漲勢頭。

Looking ahead, Bitcoin faces a resistance level at $113,676. If it breaks through this, it could move toward the second resistance at $123,512, representing a potential increase of around 10% to 20%. On the downside, support is nearby at $94,005, with secondary support at $84,169. Should the price drop to these levels, it would mean a decrease of about 10% to 15%.

展望未來，比特幣的阻力水平為113,676美元。如果它突破了這一點，它可能會以123,512美元的價格轉向第二次阻力，這可能會增加約10％至20％。不利的一面是，在附近的支持為94,005美元，次要支撐為84,169美元。如果價格下降到這些水平，則意味著減少約10％至15％。

Amid the widespread market chaos, however, one project has remained resilient—XYZ, a rising crypto powerhouse, has defied the downturn, surging past $5.8 million in presale funding. While investors scramble to navigate the shifting landscape, XYZ’s momentum suggests a new opportunity is emerging, even as traditional markets and blue-chip crypto assets face volatility.

然而，在廣泛的市場混亂中，一個項目仍然具有彈性 - Xyz是一個不斷上升的加密貨幣，違反了經濟低迷，飆升了580萬美元的預售資金。雖然投資者爭先恐後地駕駛不斷變化的景觀，但XYZ的勢頭表明，即使傳統市場和藍籌集集的加密資產面臨波動，也有新的機會正在出現。

XYZVerse Presale Sees Increased Demand Approaching 11th Stage

Xyzver​​se Presale認為需求增加即將接近第11階段

In a time of market uncertainty and shifting priorities, one crypto project has remained remarkably resilient, defying the downturn and continuing to surge—XYZ, a rising crypto powerhouse, has now secured over $5.8 million in presale funding. As investors navigate the changing landscape, XYZ’s momentum points toward a new opportunity emerging amid the volatility faced by traditional markets and blue-chip crypto assets.

在市場不確定性和重點轉移的重點時期，一個加密項目仍然非常有彈性，無視低迷並繼續激增 - Xyz是一個上升的加密貨幣，現在已經獲得了超過580萬美元的預售資金。當投資者駕駛不斷變化的景觀時，XYZ的勢頭指向了傳統市場和藍籌集集資產所面臨的波動性的新機會。

While market conditions have impacted several projects, especially those geared toward Web3, community, and entertainment, with many presales being put on hold due

儘管市場條件影響了幾個項目，尤其是針對Web3，社區和娛樂的項目，但許多預設被擱置了