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OpenAI Establishes Five-Level System To Gauge AI Progress
The ChatGPT creator revealed the new classification system to employees during a recent company-wide meeting.
OpenAI has introduced a five-tier framework to monitor its advancement toward developing artificial intelligence that can rival and even surpass human capabilities.
The initiative is the latest in the startup’s efforts to enhance public understanding of AI safety and was shared with staff during a company-wide meeting on Tuesday, July 9. OpenAI intends to present the levels to investors and other stakeholders, which span from conversational AI (Level 1) to AI that can independently operate an entire organization (Level 5).
During the meeting, OpenAI executives informed employees that the company is currently at the first level but is nearing the second level, known as Reasoners. This tier represents AI systems capable of basic problem-solving tasks comparable to a human with a doctorate-level education.
In the same session, OpenAI’s leadership demonstrated a research project featuring the GPT-4 AI model, showcasing new skills indicative of human-like reasoning. For years, the company has been working towards achieving what is often referred to as artificial general intelligence (AGI), which entails creating computers that can outperform humans in most tasks. Such systems do not yet exist, though OpenAI CEO Sam Altman has previously suggested that AGI might be achievable later this decade.
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Determining the criteria for AGI has been a topic of ongoing debate among AI researchers. In a paper published in November 2023, researchers at Google DeepMind proposed a framework of five ascending AI levels, including “expert” and “superhuman”, which resembles the classification system used in the automotive industry for self-driving cars.
According to OpenAI’s proposed levels, the third tier on the road to AGI is called Agents, representing AI systems that can perform tasks autonomously over several days. Level 4 describes AI that can generate new innovations, while the highest level, Organizations, refers to AI capable of managing entire enterprises.
The framework, developed by OpenAI executives and senior leaders, is considered a work in progress. The company plans to collect feedback from employees, investors, and its board, with the possibility of refining the levels over time.
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Abu Dhabi’s Robot Kitchen Is Serving Up Biryani, Not Burgers
Circus SE wants to put a tiny automated factory inside the buildings where Gulf residents live and work, bypassing part of last-mile delivery.
The most telling thing about a new autonomous kitchen now running in Abu Dhabi’s Marina Square is what it won’t cook:
“We don’t do fast food,” says Nikolas Bullwinkel, Founder and CEO of Circus SE. “We’ve actively decided not to build a machine that can only do burgers”.
Instead, the CA-1 system is built around pot-based cooking: curries, pastas, soups and rice dishes. After experimenting with highly personalized recipes, Circus deliberately leaned back toward recognizable food. “We’re going with a chicken biryani because you know it,” Bullwinkel says of the AED 40 dish.
The Germany-based robotics and food technology company operates across eight countries, and Abu Dhabi is its first deployment outside Europe. More locations are expected there and in Dubai.
In Germany, its units can be placed in supermarkets, gas stations, airports and hospitals. In the Gulf, Bullwinkel wants them inside residential and office buildings, replacing some of the complexity of last-mile delivery. “We’re basically bringing a very tiny factory a few square meters into your building,” he says. Catering company Royal Prestige supplies the ingredients and knowledge of local tastes.
The CA-1 manages up to 36 refrigerated ingredient silos alongside automated induction cooking, robotic plating and a self-cleaning dishwasher. Two robotic arms move ingredients through the system with minimal human intervention. It can produce up to 120 hot meals an hour, and a meal such as rice and curry can take around three to four minutes.
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Five cameras and multiple sensors monitor heat, temperature and consistency, an attempt to approximate what a chef perceives. “You can hear something gets burned, you can smell it, you can see it at some point,” Bullwinkel says. CircusOS, the company’s operating system, adjusts recipes in real time.
You might think of the platform as a threat to kitchen staff, but Bullwinkel frames Circus as a way for chefs to develop recipes and distribute them at scale. With that being said, rising labor costs and shortages are also part of his case for automation.
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