AI Eye: Real uses for AI in crypto, Google’s GPT-4 rival, AI edge for bad employees
How Maker, The Sandbox and Near are using AI in crypto, plus terrible workers benefit most from AI and Google’s GPT-4 rival nears release.
AI and crypto isnt just a buzz phrase
AI Eye has been out and about at Korean Blockchain Week and Token2049 in Singapore over the past fortnight, trying to find out how crypto project leaders plan to use AI.
Probably the most well-known is Maker founder Rune Christensen, who essentially plans to relaunch his decade-old project as a bunch of sub-DAOs employing AI governance.
“People misunderstand what we mean with AI governance, right? We’re not talking about AI running a DAO,” he says, adding the AI wont be enforcing any rules. The AI cannot do that because it’s unreliable.” Instead the project is working on using AI for coordination and communication as an Atlas to the entire project, as theyre calling it.
“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.”
Near founder Illia Polosukhin may be better known in AI circles as his project began life as an AI startup before pivoting to blockchain. Polosukhin was one of the authors of the seminal 2017 Transformer paper (“Attention Is All You Need”) that laid the groundwork for the explosion of generative AI like ChatGPT over the past year.
Polosukhin has too many ideas about legitimate AI use cases in crypto to detail here, but one hes very keen on is using blockchain to prove the provenance of content so that users can distinguish between genuine content and AI-generated bullshit. Such a system would encompass provenance and reputation using cryptography.
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 A paper published in the journal Physica Scripta was retracted after computer scientist Guillaume Cabanac noticed the regenerate response in the text, indicating it had been copied directly from ChatGPT.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 Houses 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 dont 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 didnt work on my phone so I had to upload on my pc.https://t.co/FMJp9sJEBI pic.twitter.com/iF5eONAQ3cJon Finger (@mrjonfinger) September 11, 2023
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Author: Andrew Fenton
