1. Home
  2. AI Model

AI Model

AI to reinvent DAOs while tokenized models will become valuable: VC firm

Framework Ventures co-founder Vance Spencer sees AI as being the missing piece for DAOs and shared his outlook for the tokenization of AI models.

Artificial intelligence could be the missing piece for decentralized autonomous organizations (DAOs), while trained AI models could become valuable assets on-chain, according to the co-founder of Framework Ventures.

Speaking to Cointelegraph on Sept. 5 at Korea Blockchain Week, Vance Spencer, the co-founder of the crypto-focused venture firm, shared four predictions about how AI and blockchain technology could collide.

One of the biggest impacts is for AI to finally put the “autonomous” into decentralized autonomous organizations, according to Spencer.

DAOs were founded on the concept of a decentralized collective sharing a common goal, with no overarching central authority. However, many of the biggest are still far from full decentralization or autonomy.

“It's not actually autonomous, there’s a bunch of people in the middle. It seems like AI is really the only way to actually make the DAO concept work.”

In May, DAI stablecoin proprietor MakerDAO published a five-phase roadmap to upgrade its ecosystem including a strong focus on using AI to create a “governance equilibrium.”

According to MakerDAO co-founder Rune Christensen, phase three of the roadmap will launch AI tools aimed at improving and possibly automating certain governance aspects.

Christensen added these AI tools will initially help “level the playing field between deeply embedded insiders and more peripheral community members,” but eventually allow the DAO to improve its processes and decisions over time “without requiring leadership or centralized authority.

“What happens when Maker, who has a shitload of treasury, is governed by an AI?” Spencer queried.

“That AI can do really interesting things and there needs to be only limited human intervention with that,” he added.

Trained AI models could become prized

Spencer also sees a future in which trained AI models are tokenized on the blockchain.

He said an early example can be seen in the Ethereum native decentralized app and game — AI Arena — where players train an AI model to fight for them in a platform fighting game akin to Nintendo’s Super Smash Bros. 

Framework invested in AI Arena's $5 million Paradigm-led seed round in 2021.

Spencer explained that in AI Arena, the players don’t control the fighters themselves but instead, the characters are controlled by AI models that are owned and trained by the player.

He noted that while it shifts the paradigm of what a game is, the on-chain ownership of AI models is “really where this comes to life in the crypto context.”

“Probably some of the most valuable assets on-chain will be tokenized AI models, that’s my theory at least,” Spencer said.

Other use cases

Meanwhile, decentralized computing marketplaces — such as Akash Network and Render Network — could also see crypto play a part in the growth of AI.

The blockchain-based protocols work as a marketplace that allows buyers to purchase idle computing processing power from providers, which is particularly important given the current shortage of GPU chips, explained Spencer.

Related: Cathie Wood bullish on Bitcoin and AI convergence

“Actually having a network that sources and provides and bootstraps the market? Those things should work,” he said. “There are some pretty successful companies that do it that are protocols.”

Spencer also argued that blockchain technology will be important for auditing and verifying AI-provided information.

“Say that you want to prove that ChatGPT, that specific model, is giving you an answer rather than Bard, rather than Falcon, which is UAE’s model," Spencer explained. "You can actually prove that on-chain.”

AI Eye: Apple developing pocket AI, deep fake music deal, hypnotizing GPT-4

Bitcoin spot ETFs expected to debut on Australian top exchange’s main board this year: Bloomberg

OpenAI launches web crawler ‘GPTBot’ amid plans for next model: GPT-5

ChatGPT users have the option to scrap the web crawler by adding a “disallow” command to a standard file on the server.

Artificial intelligence firm OpenAI has launched “GPTBot” — its new web crawling tool which it says could potentially be used to improve future ChatGPT models.

“Web pages crawled with the GPTBot user agent may potentially be used to improve future models,” OpenAI said in a new blog post, adding it could improve accuracy and expand the capabilities of future iterations.

A web crawler, sometimes called a web spider, is a type of bot that indexes the content of websites across the internet. Search engines like Google and Bing use them in order for the websites to show up in search results. 

OpenAI said the web crawler will collect publicly available data from the world wide web, but will filter out sources that require paywalled content, or is known to gather personally identifiable information, or has text that violates its policies.

It should be noted that website owners can deny the web crawler by adding a “disallow” command to a standard file on the server.

Instructions to “disallow” GPTBot for ChatGPT users. Source: OpenAI

The new crawler comes three weeks after the firm filed a trademark application for “GPT-5,” the anticipated successor to the current GPT-4 model.

The application was filed at the United States Patent and Trademark Office on July 18, and covers the use of the term “GPT-5,” which includes software for AI-based human speech and text, converting audio into text and voice and speech recognition.

However, observers may not want to hold their breath for the next iteration of ChatGPT just yet. In June, OpenAI’s founder and CEO Sam Altman said the firm is “nowhere close” to beginning training GPT-5, explaining that several safety audits need to be conducted prior to starting.

Related: 11 ChatGPT prompts for maximum productivity

Meanwhile, Concerns have been raised over OpenAI’s data-collecting tactics of late, particularly revolving around copyright and consent.

Japan’s privacy watchdog issued a warning to OpenAI about collecting sensitive data without permission in June, while Italy temporarily banned the use of ChatGPT after alleging it breached various European Union privacy laws in April.

In late June, a class action was filed against OpenAI by 16 plaintiffs alleging the AI firm to have accessed private information from ChatGPT user interactions.

If these allegations are proven to be accurate, OpenAI — and Microsoft, who was named as a defendant — will be in breach of the Computer Fraud and Abuse Act, a law with a precedent for web-scraping cases.

Magazine: AI Eye: AI travel booking hilariously bad, 3 weird uses for ChatGPT, crypto plugins

Bitcoin spot ETFs expected to debut on Australian top exchange’s main board this year: Bloomberg