Former Coinbase Tech Chief Contrasts AI's Reputation As Making It Easy To Fake Things With Crypto's Tamper-Proof Technology
Former Coinbase Tech Chief Contrasts AI's Reputation As Making It Easy To Fake Things With Crypto's Tamper-Proof Technology
AI came out of academic research and big tech, so it started with high prestige.Silicon Valley investor Balaji Srinivasan predicted a convergence in prestige between artificial intelligence and cryptocurrencies on Monday, arguing that while one's reputation has suffered, that of the other has increased.
硅谷投資者巴拉吉·斯里尼瓦桑在週一預測，人工智能和數字貨幣之間的聲望將會趨同，認爲儘管一個的聲譽受損，但另一個卻在提升。
What Happened: In an X post, Srinivasan expressed his views on the contrasting origins of AI and cryptocurrency, like Bitcoin (CRYPTO: BTC), Ethereum (CRYPTO: ETH) and Dogecoin (CRYPTO: DOGE).
發生了什麼：在一篇X的發帖中，斯里尼瓦桑表達了他對人工智能和數字貨幣（如比特幣（CRYPTO: BTC）、以太幣（CRYPTO: ETH）和狗狗幣（CRYPTO: DOGE））的不同起源的看法。
"AI came out of academic research and big tech, so it started with high prestige. Crypto came from anonymous message boards and internet degens, so it started with low prestige," the former technology head of Coinbase said.
「人工智能源於學術研究和大型科技公司，因此一開始就擁有很高的聲望。數字貨幣則來自匿名論壇和網絡投機者，所以起初聲望很低，」這位前Coinbase科技負責人說道。
AI came out of academic research and big tech, so it started with high prestige.
— Balaji (@balajis) December 16, 2024
Crypto came from anonymous message boards and internet degens, so it started with low prestige.
But AI makes everything easy to fake and crypto makes it hard again.
So prestige may converge.
人工智能源於學術研究和大型科技公司，因此一開始就擁有很高的聲望。
— 巴拉吉 (@balajis) 2024年12月16日
數字貨幣則來自匿名論壇和網絡投機者，所以起初聲望很低。
但是人工智能讓一切都容易僞造，而數字貨幣又讓這一切變得困難。
所以聲望可能會趨同。
He added that while AI has the potential to create falsities, cryptocurrency brings authenticity back into the picture. "AI makes everything easy to fake, and crypto makes it hard again," Srinivasan argued.
他補充說，儘管人工智能有可能創造虛假內容，但數字貨幣又將真實帶回到視野中。"人工智能讓一切都容易僞造，而數字貨幣則讓這變得困難，"Srinivasan爭辯道。
He drew attention to the perceptual difference between the two technologies, with AI seen as something of "civilizational importance" whereas cryptocurrencies remain underrated.
他提到了這兩項科技之間的感知差異，人工智能被視爲具有"文明重要性"的東西，而數字貨幣則仍然被低估。
Why It Matters: Srinivasan's views come amid increasing sophistication in AI technology, which was indeed making it harder for users to identify real content.
這很重要：Srinivasan的觀點出現在人工智能科技日益複雜的背景下，這確實使得用戶更難識別真實內容。
A study by Google DeepMind revealed that deepfakes of public figures are more common than AI-assisted cyber attacks, indicating a significant misuse.
谷歌DeepMind的一項研究表明，公衆人物的深度僞造比人工智能輔助的網絡攻擊更爲常見，這表明了重大濫用。
Adam Mosseri, the Meta Platforms-owned Instagram, underscored the importance of social media platforms providing additional context to help users determine the legitimacy of online material.
Meta Platforms旗下的Instagram的亞當·莫塞裏強調了社交媒體平台提供額外背景信息的重要性，以幫助用戶判斷在線材料的合法性。
On the other hand, blockchain technology is used widely to establish the authenticity of physical items. Under this, a unique NFT is created to represent the entity's ownership and validity, and facts about the item are recorded in the NFT's metadata.
另一方面，區塊鏈概念被廣泛應用於建立實物物品的真實性。在此之下，創建一個獨特的NFT來代表實體的所有權和有效性，並且關於該物品的事實被記錄在NFT的元數據中。
Items of varying cultural, religious, and historical significance, like a 300-year-old vintage violin and manuscripts from the iconic Vatican Library, have been tokenized and stored on blockchain.
具有不同文化、宗教和歷史重要性的物品，如一把300年的古董小提琴和來自標誌性梵蒂岡圖書館的手稿，已經被代幣化並存儲在區塊鏈上。
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Disclaimer: This content was partially produced with the help of Benzinga Neuro and was reviewed and published by Benzinga editors.
免責聲明：此內容部分由Benzinga Neuro生成，並由Benzinga編輯審核和發佈。
Image Via Shutterstock
圖片來自shutterstock
