AI and crypto isn’t just a buzz phrase
During the past two weeks, AI Eye has attended Korean Blockchain Week and Token2049 in Singapore to investigate how crypto project leaders are planning to use AI. One of the most well-known project leaders is Rune Christensen, founder of Maker, who plans to relaunch his decade-old project using AI governance through a series of sub-DAOs. However, he emphasized that AI governance does not mean that AI will be running a DAO or enforcing any rules, as AI is considered unreliable for that purpose. Instead, the project is exploring the use of AI for coordination and communication, acting as an “Atlas” for the entire project.
“Having that sort of central repository of data just makes it actually realistic to have hundreds of thousands of people from different backgrounds and different levels of understanding meaningfully collaborate and interact because they’ve got this shared language.”
Illia Polosukhin, the founder of Near, is a well-known figure in the AI community. Near is a project that started as an AI startup, but later shifted its focus towards blockchain. Polosukhin is one of the authors of the influential 2017 Transformer paper, titled “Attention Is All You Need”. This paper laid the foundation for the development of generative AI technologies like ChatGPT, which have gained popularity over the past year.
Polosukhin has many ideas about how AI can be used in the crypto industry, but one of his favorites is using blockchain to verify the origin of content. This system, which would use cryptography, would help users differentiate between authentic content and AI-generated fake content. The system would also incorporate reputation and provenance to ensure authenticity.
“Cryptography plays a crucial role in ensuring consistency and traceability. It is also important to establish reputation around this cryptography, which is done through on-chain accounts and record-keeping. This guarantees that the person who posted something is associated with the platform and is authorized to do so.
The Sandbox, a gaming platform, has been successfully using AI for content moderation for the past year. The AI system filters in-game conversations in all languages, thereby removing any toxicity. The platform is also exploring the use of AI for music and avatar generation as well as for user-generated content for world-building.
Framework Ventures founder, Vance Spencer, has outlined four primary use cases for AI. One of the most interesting use cases is training AI models and selling them as tokens on-chain. Frameworks has invested in a game called AI Arena, where players train AI models to compete in the game.
Keep an eye out for in-depth Magazine features outlining their thoughts in more detail.
AI is for communists?
Speaking of AI and crypto, are they pulling in opposite directions? Dynamo Dao’s Patrick Scott dug up PayPal founder Peter Thiel’s thoughts on AI and crypto in his forward to the re-release of the 1997 non-fiction book The Sovereign Individual, which predicted cryptocurrency, among other things. In it, Thiel argues AI is a technology of control, while crypto is one of liberation.
“AI could theoretically make it possible to centrally control an entire economy. It is no coincidence that AI is the favorite technology of the Communist Party of China. Strong cryptography, at the other pole, holds out the prospect of a decentralized and individualized world. If AI is communist, crypto is libertarian.”
From Peter Thiel’s new 2020 preface to The Sovereign Individual. pic.twitter.com/cWzfgyUqfY
— Patrick Scott | Dynamo DeFi (@Dynamo_Patrick) September 17, 2023
Roblox lets users build with AI
Roblox has unveiled a new feature called Assistant, which will let users build virtual assets and write code using generative AI. In the demo, users write something like “make a game set in ancient ruins” and “add some trees,” and the AI does the rest. It’s still being developed and will be released at the end of this year or early next year. The plan is for Assistant to one day generate sophisticated gameplay or make 3D models from scratch.
Terrible workers benefit most from AI
The worst workers at your place of employment are likely to benefit the most from using AI tools, according to a new study by Boston Consulting Group. The output of below-average workers improved by 43% when using AI, while the output of above-average workers improved by just 17%.
Interestingly, workers who used AI for things beyond its current abilities performed 20% worse because the AI would present them with plausible but wrong responses.
Google Gemini gears up for release
Google’s GPT-4 competitor is nearing release, with The Information reporting that a small group of companies has been given early access to Gemini. For those who came in late, Google was seen leading the AI race right up until OpenAI dumped ChatGPT on the market in November last year (arguably before it was ready) and leaped ahead.
Google hopes Gemini can best GPT-4 by offering not just text generation capabilities but also image generation, enabling the creation of contextual images (rumors suggest its being trained on YouTube content, among other data). There are plans in future for features like using it to control software with your voice or to analyze charts. Highlighting how important Gemini is, Google co-founder Sergey Brin is said to be playing an instrumental role in the evaluation and training of the models.
AI expert Brian Roemmele says he’s been testing a version of Gemini and finds it “equivalent to ChatGPT-4 but with newly up to the second knowledge base. This saves it from some hallucinations.”
Google CEO Sundar Pichai told Wired this week he has no regrets about not launching its chatbot early to beat ChatGPT because the tech “needed to mature a bit more before we put it in our products.”
“It’s not fully clear to me that it might have worked out as well,” Pichai said. “The fact is, we could do more after people had seen how it works. It really won’t matter in the next five to 10 years.”
AI meets 15-minute cities
Researchers at Tsinghua University in China have built an AI system that plans out cities in line with current thinking about walkable “15-minute cities” that have lots of green space (please direct conspiracy theories about the topic to X).
The researchers found the AI was better at tedious computation and repetitive tasks and was able to complete in seconds what human planners required 50 to 100 minutes to work through. Overall, they determined it was able to improve on human designs by 50% when assessed on access to services, green spaces and traffic levels.
The headline figure is a bit misleading, though, as the finished plans only increased access to basic services by 12% and to parks by 5%. In a blind judging process, 100 urban planners preferred some of the AI designs by a clear margin but expressed no preference for other designs. The researchers envisage their AI working as an assistant doing the boring stuff while humans focus on more challenging and creative aspects.
Stephen Fry is cloned
Blackadder and QI star and much-loved British comedy institution Stephen Fry says he has become a victim of AI voice cloning.
On September 14, Fry played a clip from a historical documentary he apparently narrated at the CogX Festival in London last week — but revealed the voice wasn’t him at all. “I said not one word of that — it was a machine,” he said. “They used my reading of the seven volumes of the Harry Potter books, and from that dataset an AI of my voice was created, and it made that new narration.”
Training AI to rip off the work of actors and repurpose them elsewhere without payment is one of the key issues in the current actors and writers strike in Hollywood. Fry said the incident was just the tip of the iceberg, and AI will “advance at a faster rate than any technology we have ever seen. One thing we can all agree on: it’s a fucking weird time to be alive.”
How not to cheat using ChatGPT
The sort of academics drawn to cheating using ChatGPT appear to be the sort of people who make dumb mistakes giving that fact away. A paper published in the journal Physica Scripta was retracted after computer scientist Guillaume Cabanac noticed the “regenerate response” in the text, indicating it had been copied directly from ChatGPT.
Cabanac has helped uncover hundreds of AI-generated academic manuscripts since 2015, including a paper in the August edition of Resources Policy, which contained the tell-tale line: “Please note that as an AI language model, I am unable to …”
All Killer No Filler AI News
— Meta is also working on a new model to compete with GPT-4 that it aims to launch in 2024, according to The Wall Street Journal. It is intended to be many times more powerful than its existing Llama 2.
— Microsoft has open-sourced a novel protein-generating AI called EvoDiff. It works like Stable Diffusion and Dall-E2, but instead of generating images, it designs proteins that can be used for specific medical purposes. This is expected to lead to new classes of drugs and therapies.
— Defense contractor Palantir, along with Cohere, IBM, Nvidia, Salesforce, Scale AI and Stability, have signed up to the White House’s somewhat vague plans for responsible AI development. The administration is also developing an executive order on AI and plans to introduce bipartisan legislation.
— Sixty U.S. senators attended a private briefing recently about the risks of AI from 20 Silicon Valley CEOs and wonks, including Sam Altman, Mark Zuckerberg and Bill Gates. Elon Musk told reporters afterward that the meeting “may go down in history as very important to the future of civilization.”
— ChatGPT traffic has fallen for three months in a row, by roughly 10% in both June and July and a further 3.2% drop in August. The amount of time users spend on the site fell from 8.7 minutes on average in March to seven minutes last month.
— Finnish prisoners are being paid $1.67 to help train AI models for a startup called Metroc. The AI is learning how to determine when construction projects are hiring.
— The U.S. is way out in front of the AI race, with 4,643 startups and $249 billion of investment since 2013, which is 1.9 times more startups than China and Europe combined.
Video of the week
Writer and storyteller Jon Finger tried out the HeyGen video app, which is able to not only translate his words but also clone his voice AND sync up his lip movements to the translated text.
Testing out @HeyGen_Official translation on French and German. I don’t speak either language so let me know if it sounds natural if you do.
I hope if you pay you can turn off the color correction.
It didn’t work on my phone so I had to upload on my pc.https://t.co/FMJp9sJEBI pic.twitter.com/iF5eONAQ3c
— Jon Finger (@mrjonfinger) September 11, 2023
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Based in Melbourne, Andrew Fenton is a journalist and editor covering cryptocurrency and blockchain. He has worked as a national entertainment writer for News Corp Australia, on SA Weekend as a film journalist, and at The Melbourne Weekly.