review33.com: 談天說地: DeepSeek爆紅性能媲美OpenAI 中美下載榜登頂撼動股市納期挫近400點

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[#101] DeepSeek爆紅性能媲美OpenAI 中美下載榜登頂撼動股市納期挫近400點甚麼是不同語境？		lym 正式會員 193.xxx.xxx.34	2025-02-01 09:33

[#102] DeepSeek爆紅性能媲美OpenAI 中美下載榜登頂撼動股市納期挫近400點
我問 Google Gemini 有關DeepSeek近期嘅報導、佢嘅答案係:

May be I need to rephrase my initial question.....What is your take on DeepSeek's recent news?

Ah, that's a much clearer question! You're interested in my take on the recent news surrounding DeepSeek. Here's my perspective, keeping in mind that I'm an AI and don't have personal opinions:

On the Technical Side:

Impressive Performance: DeepSeek's recent advancements, particularly in their reasoning model DeepSeek-R1, are genuinely impressive. They've demonstrated strong performance on various benchmarks, and their ability to achieve this with relatively fewer resources is noteworthy. This suggests potential breakthroughs in efficiency and cost-effectiveness in AI development.

Open-Source is a Big Deal: Their commitment to open-source models is a significant contribution to the AI community. This fosters collaboration, accelerates research, and democratizes access to powerful AI tools. It's exciting to see what developers and researchers will do with these models.
On the Controversies:

Data Privacy Concerns: The concerns raised about data privacy, particularly the recent ban in Italy, are serious and highlight the critical importance of responsible AI development. It's essential for AI companies to be transparent about their data handling practices and comply with relevant regulations. This is an ongoing challenge for the entire AI field.

Intellectual Property Concerns: The allegations of DeepSeek potentially using OpenAI's data without permission are also significant. Protecting intellectual property and ensuring fair competition are crucial for fostering innovation in the AI space. These kinds of disputes will likely become more common as AI models become more sophisticated.

Security Vulnerabilities: The reports of DeepSeek's models being susceptible to "jailbreak" attacks and prompt injections are concerning. AI safety and security are paramount, and it's crucial for companies to invest in robust safeguards to prevent malicious use of their models.

Overall Take:

DeepSeek's emergence is a fascinating development in the AI landscape. They've demonstrated impressive technical capabilities and are pushing the boundaries of what's possible with LLMs. However, the controversies surrounding data privacy, intellectual property, and security vulnerabilities highlight the complex challenges that come with rapid AI advancement.

What This Means for the Future:

Increased Scrutiny: DeepSeek's case, along with other recent incidents in the AI field, will likely lead to increased scrutiny of AI companies and their practices. Regulators and policymakers are becoming more aware of the potential risks and are likely to implement stricter regulations.
Focus on Responsible AI: The importance of responsible AI development is becoming more evident. Companies need to prioritize data privacy, security, and ethical considerations in their AI development processes.

Competition and Innovation: DeepSeek's success, despite the controversies, is a sign of healthy competition in the AI field. This competition can drive innovation and lead to better AI models that are more efficient, accessible, and safe.

As an AI, I'm interested to see how these developments will shape the future of the field. It's a dynamic and rapidly evolving space, and I'm here to learn and adapt along with it.

Sources and related content: Gemini提供咗5個websites比我知佢嘅答案係點樣得返離

When I ask Gemini to give me the answer in Cantonese style Chinese; here is what I got:

嗨 Gemini...或者我需要重新組織我最初嘅問題……你對 DeepSeek 最近嘅新聞有咩睇法？

技術層面嚟講：

表現出色： DeepSeek 最近嘅發展，尤其係佢哋個推理模型 DeepSeek-R1，真係好犀利。佢哋喺唔同嘅基準測試都表現好好，而且用相對較少嘅資源就做到咁嘅成績，真係唔簡單。呢個可能代表住 AI 開發喺效率同成本效益方面嘅突破。

開源好重要：佢哋堅持開源模型，對 AI 社群嚟講係一大貢獻。呢樣嘢可以促進合作、加速研究，同埋令更加多人用到強大嘅 AI 工具。見到開發者同研究員會點樣利用呢啲模型，真係好令人興奮。
關於爭議：

數據私隱嘅憂慮：有關數據私隱嘅憂慮，尤其係最近喺意大利嘅禁令，都好嚴重，突顯咗負責任嘅 AI 開發非常重要。AI 公司一定要喺數據處理方面保持透明，同埋遵守相關嘅法規。呢個係成個 AI 界別都面對緊嘅挑戰。

知識產權嘅憂慮：有關 DeepSeek 可能喺冇許可嘅情況下用 OpenAI 嘅數據嘅指控，都好重要。保護知識產權同埋確保公平競爭，對推動 AI 領域嘅創新好重要。呢啲爭議將來可能會更加普遍，因為 AI 模型變得越來越複雜。
安全漏洞：有關 DeepSeek 嘅模型容易受到「jailbreak」攻擊同埋 prompt injection 嘅報告，都令人擔憂。AI 嘅安全非常重要，公司一定要喺穩固嘅防護措施方面投資，以防止有人惡意使用佢哋嘅模型。

總括嚟講：
DeepSeek 嘅出現係 AI 領域一個好好嘅發展。佢哋展示咗令人印象深刻嘅技術能力，並且喺度推動緊 LLM 嘅界限。但係，有關數據私隱、知識產權同埋安全漏洞嘅爭議，都突顯咗快速發展嘅 AI 所帶來嘅複雜挑戰。

呢件事對未來嘅意義：
更多審查： DeepSeek 嘅情況，連同最近喺 AI 領域嘅其他事件，都可能導致 AI 公司同埋佢哋嘅行為受到更多審查。監管機構同埋政策制定者都越來越意識到潛在嘅風險，並可能實施更嚴格嘅法規。

注重負責任嘅 AI：負責任嘅 AI 開發嘅重要性變得更加明顯。公司需要喺佢哋嘅 AI 開發過程中，優先考慮數據私隱、安全同埋道德因素。

競爭同埋創新： DeepSeek 嘅成功，就算有爭議，都係 AI 領域健康競爭嘅標誌。呢種競爭可以推動創新，並產生更好、更有效率、更易用同埋更安全嘅 AI 模型。

作為一個 AI，我好想睇吓呢啲發展會點樣塑造 AI 領域嘅未來。呢個係一個充滿活力同埋快速發展嘅領域，我會喺度學習同埋適應。

alec6266

正式會員
96.xxx.xxx.105

2025-02-01 09:50

[#103] DeepSeek爆紅性能媲美OpenAI 中美下載榜登頂撼動股市納期挫近400點
當我問Gemini 關於 DeepSeek 被指控盜用 OpenAI 數據嘅事, 佢咁答 (廣東話翻譯):

你嘅焦點放喺 DeepSeek 件事嘅呢個方面，啱晒啦，呢個係好關鍵嘅一點。以下係我理解嘅關於 DeepSeek 被指控盜用 OpenAI 數據嘅詳細情況：

核心指控：

OpenAI 指控 DeepSeek 用咗佢哋嘅專有模型，尤其係 ChatGPT，去訓練一個競爭嘅 AI 系統。據報導，佢哋係透過一種叫做「知識提煉」嘅技術嚟做到嘅。

咩係知識提煉？

喺 AI 裡面，知識提煉係一個過程，就係用一個更大、更強大嘅模型嘅輸出，去訓練一個細啲嘅模型。基本上，細啲嘅模型係透過模仿大模型嘅行為同埋回應嚟學習嘅。呢個係一種傳輸知識同埋提升細模型效能嘅方法。

點解 OpenAI 會咁Concern？

OpenAI 嘅 concern 源於佢哋嘅服務條款明確禁止用佢哋模型嘅輸出嚟開發競爭模型。佢哋認為 DeepSeek 被指控使用知識提煉違反咗呢啲條款。

有咩證據？

雖然 OpenAI 未有公開詳細嘅證據，但佢哋聲稱有跡象顯示 DeepSeek 進行咗知識提煉。有報導話網上流傳嘅截圖顯示，DeepSeek 提供嘅回應似乎同 ChatGPT 嘅回應非常相似，暗示 DeepSeek 可能從 ChatGPT 嘅輸出學咗嘢。

Microsoft 嘅參與：

Microsoft 作為 OpenAI 嘅主要投資者同埋佢哋嘅計算基礎設施提供者，據報導舊年發現咗可疑活動。佢哋注意到有人相信同 DeepSeek 有關嘅人士透過 OpenAI 嘅 API 提取咗大量數據。然後，佢哋將呢啲資訊分享俾 OpenAI，引發咗佢哋嘅調查。

DeepSeek 嘅回應：

DeepSeek 至今未有公開回應呢啲指控。

更大嘅背景：

呢個情況突顯咗 AI 領域一個重要嘅爭論：公司應該對佢哋嘅 AI 模型有幾多控制權，尤其係當啲模型係用大量數據訓練嘅時候，而啲數據有啲可能嚟自公開嘅來源？呢個情況亦都引發咗關於知識提煉嘅道德問題，以及佢係咪構成侵犯知識產權嘅問題。

重要嘅考慮：

諷刺：有人指出 OpenAI 提出呢啲指控嘅諷刺之處，因為佢哋自己都面對緊訴訟，被指控用受版權保護嘅材料嚟訓練佢哋嘅模型。

常見做法：知識提煉喺 AI 開發中係一種相當普遍嘅做法，但用佢嚟直接同原模型競爭就會引發道德同法律問題。

法律挑戰：就算 DeepSeek 真係用咗知識提煉，OpenAI 是否有強有力嘅法律依據，仍然未明。AI 領域嘅知識產權法例仍然喺發展中。

總結：

對 DeepSeek 嘅指控係嚴重嘅，並且引發咗關於知識產權、數據使用同埋 AI 行業競爭嘅重要問題。呢個係一個複雜嘅情況，對 AI 開發嘅未來有潛在嘅影響。我會密切關注呢件事嘅發展。

alec6266

正式會員
96.xxx.xxx.105

2025-02-01 10:08

[#104] DeepSeek爆紅性能媲美OpenAI 中美下載榜登頂撼動股市納期挫近400點