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AI ‘mind uploads’ could allow the dead to trade forever

Becoming a ghost in the machine could have financial benefits, but for who?

The savviest traders in the world could one day allow their expertise and financial portfolios to live on long after they’ve died through the magic of artificial intelligence. 

At least that’s the premise increasingly being pitched by AI enthusiasts and futurists such as Ray Kurzweil and Elon Musk. Other insiders, such as Anthropic AI’s Dario Amodei, believe that the technology necessary to make this possible — called “mind uploading” — will eventually be created, but not within the next decade.

On the other hand, a potential collaboration between OpenAI and the late Eddie Van Halen could serve as an accelerator for that timeline. 

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Blockchain experiment results in swarm of decentralized learning robots 

The research focused on securing the machines against physical and cyber-attack while maintaining their decentralized learning capabilities.

A team of scientists in Belgium may have solved one of the biggest challenges in the field of AI using a blockchain-based, decentralized training method. While the research is still in its earliest stages, its potential implications could range from revolutionizing outer space exploration to posing an existential threat to humanity. 

In a simulated environment, the researchers developed a way to coordinate learning between individual, autonomous AI agents. The team used blockchain technology to facilitate and secure the agents’ communications, thus creating a decentralized “swarm” of learning models.

The individual training results for each agent in the swarm were then used to develop a larger AI model. Because the data was handled via blockchain, this bigger system benefited from the swarm’s collective intelligence without accessing any of the individual agents’ data. 

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Big tech is prepping an explosive pivot to robotics

The ten most valuable tech firms in the world are all involved in developing technology for the robotics industry.

The next big thing in the technology industry appears to be consumer robotics and there could be massive implications for both Main Street and Wall Street. 

An analysis of the top ten tech firms in the world by market capitalization, their 2024 performance to-date, and what we’ve been able to glean about their current budgets indicates that big tech is ready to move beyond chatbots.

There are currently countless robots in the world. They’re used to build cars, stitch clothing, and even handle nuclear materials. But these specialized machines are purpose-built to perform specific tasks and typically not available or even useful to the average person.

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AI bots mingled at a bar and had a party when researchers gave them a town

25 AI "agents" were given a virtual town and were observed going to a bar for lunch, planning a party and expressing other human-like behavior.

A society of 25 artificial intelligence (AI) bots were observed waking up, cooking breakfast, heading to work, going to the bar for lunch with friends and even throwing a party by six researchers who created a town for the bots.

The researchers from Google and Stanford University explained in an April 7 paper titled “Generative Agents: Interactive Simulacra of Human Behavior” that they built a virtual town populated with ChatGPT-trained “generative agents.”

The purpose of the study — which is yet to be peer-reviewed — was to create a small, interactive society of AI bots inspired by life-simulation games such as The Sims.

The agents could make a wide range of inferences about themselves, other agents and their town of “Smallville” by synthesizing new information, storing it in memory and then behaving in a way that reflects that knowledge.

A bird's-eye view of Smallville, which consists of houses, a park, a bar, a shopping center, a pharmacy and a college. Source: Arxiv.org

For example, the agents could turn off their kitchen stove when they see their breakfast is burning, coordinate plans and even engage in seemingly meaningful conversations with other agents.

The results led the researchers to conclude that the generative agents produce “believable” human behaviors:

“By fusing large language models with computational, interactive agents, this work introduces architectural and interaction patterns for enabling believable simulations of human behavior.”

One example shared in the study explained that the AI agent “Isabella Rodriguez” invited nine other agents to a Valentine’s Day party at the town's cafe.

The details of the party were passed on to four others, including “Abigail,” who then expressed excitement about the upcoming event with Isabella.

A string of conversations that were carried out between the AI agents in relation to the upcoming Valentine's Day party. Source: Arxiv.org

In another example showing the “day in the life” of an AI agent, “John Lin” woke up at 7 am, brushed his teeth, had a shower, ate breakfast and checked the news at the dining table in his living room.

Before John's son Eddy headed off to school, John asked what he’ll be working on for the day, Eddy responds and John remarks on it before sharing the news with his “wife,” Mei.

A morning in the life of a generative agent, John Lin with his wife Mei and son Eddy. Source: Arxiv.org

However, not everything went right in the experiment.

While the memory of each AI bot would enlarge with each passing interaction, sometimes the most relevant information wouldn’t be retrieved, and as a result "some agents chose less typical locations for their actions."

Related: Elon Musk and tech execs call for pause on AI development

For example, when agents were deciding where to have lunch, many initially chose the town cafe, however, the researchers said:

"As some agents learned about a nearby bar, they opted to go there instead for lunch, even though the bar was intended to be a get-together location for later in the day unless the town had spontaneously developed an afternoon drinking habit."

In another example, some AI agents walked into shops in Smallville that were closed, while some college students walked in on others in the dorm bathroom because they thought it could be occupied by more than one age.

The researchers said they will soon expand on the “expressivity” and “performance” of the AI bots through the more advanced GPT-4, the latest iteration of ChatGPT, which has passed United States high school and law exams in the 90th percentile.

Magazine: NFT Creator, Emily Xie: Creating ‘organic’ generative art from robotic algorithms

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