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.
硅谷投资者巴拉吉·斯里尼瓦桑在周一预测，人工智能和数字货币之间的声望将会趋同，认为尽管一个的声誉受损，但另一个却在提升。
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).
发生了什么：在一篇X的发帖中，斯里尼瓦桑表达了他对人工智能和数字货币（如比特币（CRYPTO: BTC）、以太坊（CRYPTO: ETH）和狗狗币（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.
“人工智能源于学术研究和大型科技公司，因此一开始就拥有很高的声望。数字货币则来自匿名论坛和网络投机者，所以起初声望很低，”这位前Coinbase科技负责人说道。
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.
人工智能源于学术研究和大型科技公司，因此一开始就拥有很高的声望。
— 巴拉吉 (@balajis) 2024年12月16日
数字货币则来自匿名论坛和网络投机者，所以起初声望很低。
但是人工智能让一切都容易伪造，而数字货币又让这一切变得困难。
所以声望可能会趋同。
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.
他补充说，尽管人工智能有可能创造虚假内容，但数字货币又将真实带回到视野中。"人工智能让一切都容易伪造，而数字货币则让这变得困难，"Srinivasan争辩道。
He drew attention to the perceptual difference between the two technologies, with AI seen as something of "civilizational importance" whereas cryptocurrencies remain underrated.
他提到了这两项科技之间的感知差异，人工智能被视为具有"文明重要性"的东西，而数字货币则仍然被低估。
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.
这很重要：Srinivasan的观点出现在人工智能科技日益复杂的背景下，这确实使得用户更难识别真实内容。
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的一项研究表明，公众人物的深度伪造比人工智能辅助的网络攻击更为常见，这表明了重大滥用。
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的亚当·莫塞里强调了社交媒体平台提供额外背景信息的重要性，以帮助用户判断在线材料的合法性。
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，区块链概念被广泛应用于建立实物物品的真实性。在此之下，创建一个独特的NFT来代表实体的所有权和有效性，并且关于该物品的事实被记录在NFT的元数据中。
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、宗教和历史重要性的物品，如一把300年的古董小提琴和来自标志性梵蒂冈图书馆的手稿，已经被代币化并存储在区块链上。
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Disclaimer: This content was partially produced with the help of Benzinga Neuro and was reviewed and published by Benzinga editors.
免责声明：此内容部分由Benzinga Neuro生成，并由Benzinga编辑审核和发布。
Image Via Shutterstock
图片来自shutterstock
