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NFT is in obvious conflict with artificial intelligence, artificial intelligence will theoretically unlock a variety of new utilities, including artificial intelligence-driven avatars that can conduct conversations.
However, since few people understand how this type of artificial intelligence works, it is very easy to deceive buyers. Recently, some so-called “smart” or “smart” NFT projects have begun to cast digital tasteless burgers, market them as groundbreaking “artificial intelligence”, gain recognition from influential investors and break resale records. Soon, the market will be flooded with “AI NFT”, most of which are definitely NGMI (will not succeed).
Lauren Kunze is the CEO Pandora Robot, A leading chatbot platform that provides conversational artificial intelligence applications for developers and global brands, and its subsidiaries Iconic, Which created the embodiment of artificial intelligence Kuki: A social robot that has exchanged more than 1 billion messages with 25 million human fans. Kunze is good at explaining AI and its real-world applications to general audiences, including at conferences such as TEDx, Mobile World Congress, and SXSW, as well as publications such as TechCrunch, Quartz, and Venturebeat. She has also written four novels, published by HarperCollins, and holds a degree in literature and language and neuroscience from Harvard University.
Here are five red flags to be aware of:
1) This is a cheap deep forgery
If you haven’t seen a dynamic portrait powered by deepfake, it feels like some serious Harry Potter magic comes to life for the first time. However, this seemingly magical magic can actually be easily used by Muggles through many free apps (for example, TokkingHeads, MyHeritage, Wombo), which allow you to convert any image into deepfake content based on the source video. So, if you are creating or already have NFTs, and you want to make them move, you can do it yourself cheaply. Due to the inevitable inconsistency between the image and its underlying source video, any behavior that exceeds the minimum movement (such as blinking or breathing) may break this illusion. Therefore, if you see that a mobile NFT does not move too much, it is almost certain that it uses ready-made deepfake software instead of some special secret AI sauce.
These cheap deepfakes are used to promote things such as portraits of historical figures. When these things are plugged into GPT-3, they can talk to you in real time. The problem is that a 3D CG model is required for real-time dialogue with AI. Therefore, if you stumble upon a Deepfake that is advertised as being capable of real-time conversation in the advertisement, it should sound the alarm, because Deepfake does not really operate autonomously. Instead, they rely on the actor who superimposes someone’s face on the video during post-production (e.g., Zach v Tre Parker or Tom Cruise On a talented TikTok imitator), or during a video call (for example, Deep Elon Zoom-bombing Use free software such as Incarnation).
2) It uses GPT-3 or has other third-party dependencies
The Generative Pre-trained Transformer 3 (GPT-3) language model is excellent at generating words and images with a specific character or genre style given enough examples. The huge generative language model-except for the slow response and high training cost, so that GPT-3 was trained before COVID and still not aware of the existence of the virus-was trained on the public Internet, which is a bit similar to drinking from the public Toilet.Humans are also usually toilet mouths monster When talking to software (and each other) on the Internet, even human players in GPT-3 driven role-playing games Be disturbed When the algorithm inserts children into the sex scene.This is why OpenAI is very careful to restrict Chatbot Use cases-and why any NFT project that claims to use GPT-3, especially to provide power for additional “personality”, should attract attention.
After years of limited testing and a long waiting list, OpenAI has just announced that its GPT-3 API is now Generally available To the developer. (Until and unless Microsoft-it funded and apparently Exclusive license GPT-3-Turn off “open” artificial intelligence. ) So far, some upstarts with early access have been using GPT-3 to create and sell unique “personality” for your NFT. But now the API is truly open to everyone. The reality is that anyone can generate GPT-3 driven “personality” by providing some sample text. Whether OpenAI allows your specific use case to stay real-time is another matter.Last summer, the “Chronicle” published a heartbreaking story about a person using GPT-3 power supply services Take his dead fiance Resurrected according to their text. A few months later, a heartbreaking turn, OpenAI Service closed There is no warning to violate its strict terms; Joshua’s fiancé Jessica basically died twice. GPT-3 NFT is likely to meet the same fate. NFT is ultimately about verified ownership. If your talkative “AI” NFT relies on third-party services that the seller neither owns, develops nor controls, what exactly do you own?
3) Artificial intelligence “on the roadmap” (and all marketing materials)
Although the use of GPT-3 or any third-party reliance is the cause of the severe suspension, the fact that the “AI” in the project marketing materials or roadmap does not have any evidence of the existence of actual products is a red flag. If more resources and more time are provided, AI is not an ingredient that anyone can simply add to the portfolio. Still, given the recent buzz around some AI NFT projects, people now starting projects with “AI” are almost as fast as attaching “Metaverse” to everything.
4) The team has no AI background
When in doubt, the project’s team page usually states whether it hopes to achieve an ambitious AI roadmap. Zero AI expertise = a huge red flag.
Even teams with AI expertise often struggle to deliver. For example, Little Sophia: The epitome of incredible humanoids Sophia Robot Several rounds of crowdfunding have been raised since 2019, and its shipping date has been declining (December 2022 as of this writing) and Getting disgusted Disillusioned supporter.Sophia, who Made headlines In May, due to the sale of NFT, the first digital art that falsely claimed to be non-human, its creator claimed to be “Basically still alive” Is a large part AI hype problem(The NFT auctioned at a price of US$688,888 was actually produced in collaboration with a real human artist, and was used by AI digital artists such as Aaron played by Harold Cohen).
Sadly, when it comes to the general public, these marketing gimmicks include Grant Sophia, a Saudi citizen, seems to be okay. In 2017, a branch of the team behind Sophia proposed 36 million USD In the initial token issuance of less than one minute, an “artificial general intelligence” or decentralized “AGI” is built on the blockchain. In the end I checked and they—along with the tech giants and top artificial intelligence researchers—have yet to solve AGI. The moral of this story is: even if the team has AI experience, they may have some shortcomings. If their main background is ICO, marketing or other get rich quick plans, then it may be time to run away.
5) A nicknamed rose smells…like a tulip
When it comes to marketing, the man who invented the simulated pet rock is a genius. (Also a millionaire who sold more than Million Pet Stone Four dollars at a time. ) These rocks are just rocks, packed in cardboard boxes with cute pun care and feeding manuals (spoiler warning: they don’t need them). But calling them “pets” sparked a fashion on par with Doudou babies or boring apes.In other words, the so-called “first iNFT”, namely Sold on At Sotheby’s auction for nearly $500,000, it was actually just a chatbot attached to an avatar: although this technology is not as old as the rock, it has existed since the 1960s. This is perfectly fine, as long as the buyer knows that what they are buying is actually just another name for the chatbot.
Regardless of the packaging, the chatbot-driven incarnation-ahem-artificial intelligence NFT is a promising “new” category (just like Metaverse has a “second Life”). NFT will completely change digital ownership and put the funds where it should be: back to the hands of creators.But even if the industry overcomes other obstacles, such as High carbon footprint, If we collectively call for fraud and noise, then we will only make it mainstream adoption so that high-quality work can shine.
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