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Artificial Intelligence

The new AI in Meta is superior to human players in diplomacy

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Here’s an amazing example of what AI can achieve right now: In the age-old bargaining and treachery game Diplomacy, Cicero, the most recent AI from Meta, can defeat human players. It performed well while playing online at webDiplomacy.net, scoring “more than double the average of human players,” placing it “in the top 10% of participants who played more than one game.” It can determine which players need to be convinced to do what, then communicate with them using impressive and potent natural language.

No “taking over the globe” joke from me. I won’t.

In a simplified version of World War One, participants in the board game diplomacy compete for control of Europe. You move a few of your soldiers across the board each turn, but more crucially, you form alliances. You convince Geoff that you need to work together to defeat Margret’s Germany, agree to send his forces into Berlin, then covertly switch your allegiance to Margaret because she has agreed to assist you in advancing into Paris. As Meta writes in her research blog post, diplomacy is “a game about people rather than pieces.”

Smart manoeuvring obviously helps, and that’s a tactical area where sophisticated AI’s abilities unquestionably surpass those of humans. Meta will, of course, downplay this. Nevertheless, in order to win the game, you must persuade other players to support you, and Ciceros persuasive abilities are unmatched.

More details may be found in Meta’s blog post and the team’s study paper, but research scientist Mike Lewis’s twitter thread contains the most impressive information.

It’s pretty interesting how deeply Meta’s blog post delves into what makes Cicero tick. Cicero makes predictions and tries to follow them rather than solely improving through supervised learning, where an AI trains on “labeled data such as a database of human players’ actions in previous games”:

“Citerative runs an iterative planning algorithm that balances dialogue consistency with rationality. The agent first predicts everyone’s policy for the current turn based on the dialogue it has shared with other players, and also predicts what other players think the agent’s policy will be. It then runs a planning algorithm we developed called piKL, which iteratively improves these predictions by trying to choose new policies that have higher expected value given the other players’ predicted policies, while also trying to keep the new predictions close to the original policy predictions.”

Lewis elaborates on that in another tweet, claiming that while Cicero is “designed to never intentionally backstab,” “sometimes it changes its mind…”

According to Meta, one potential use for an AI like Cicero is to develop videogame NPCs that converse realistically and comprehend your motivations. Maybe we’ll actually get to communicate with the monsters.

 

As Editor here at GeekReply, I'm a big fan of all things Geeky. Most of my contributions to the site are technology related, but I'm also a big fan of video games. My genres of choice include RPGs, MMOs, Grand Strategy, and Simulation. If I'm not chasing after the latest gear on my MMO of choice, I'm here at GeekReply reporting on the latest in Geek culture.

Artificial Intelligence

ChatGPT Will Soon “See, Hear, And Speak” With Its Latest AI Update

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A major update to ChatGPT lets the chatbot respond to images and voice conversations. The AI will hear your questions, see the world, and respond.

OpenAI, the non-profit group behind ChatGPT and DALL-E, announced the “multimodal” update in a blog post on Monday, saying it will add voice and image features to ChatGPT Plus and Enterprise over the next two weeks.

The post said it would be available for other groups “soon after.” It was unclear when it would be added to free versions.

Part of this update may be like Siri and Alexa, where you can ask a question and get the answer.

Anyone who’s used ChatGPT knows its AI isn’t a sterile search engine. It can find patterns and solve complex problems creatively and conversationally.

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According to OpenAI, “Snap a picture of a landmark while traveling and have a live conversation about what’s interesting about it” could expand these abilities. To decide what to make for dinner, take pictures of your fridge and pantry at home and ask questions for a recipe. Take a photo, circle the problem set, and have it share hints with your child after dinner to help them with a math problem.

This development “opens doors to many creative and accessibility-focused applications,” said OpenAI. They added that it will pose “new risks, such as the potential for malicious actors to impersonate public figures or commit fraud.”

The update currently only allows voice chat with AI trained with specific voice actors. It seems you can’t ask, “Read this IFLScience article in the voice of Stephen Hawking.”

However, current AI technology can achieve that.

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Artificial Intelligence

Track People and Read Through Walls with Wi-Fi Signals

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Recent research has shown that your Wi-Fi router’s signals can be used as a sneaky surveillance system to track people and read text through walls.

Recently, Carnegie Mellon University computer scientists developed a deep neural network that digitally maps human bodies using Wi-Fi signals.

It works like radar. Many sensors detect Wi-Fi radio waves reflected around the room by a person walking. This data is processed by a machine learning algorithm to create an accurate image of moving human bodies.

“The results of the study reveal that our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input,” the researchers wrote in a December 2022 pre-print paper.

The team claims this experimental technology is “privacy-preserving” compared to a camera, despite concerns about intrusion. The algorithm can only detect rough body positions, not facial features and appearance, so it could provide a new way to monitor people anonymously.

They write, “This technology may be scaled to monitor the well-being of elder people or just identify suspicious behaviors at home.”

Recent research at the University of California Santa Barbara showed another way Wi-Fi signals can be used to spy through walls. They used similar technology to detect Wi-Fi signals through a building wall and reveal 3D alphabet letters.

WiFi still imagery is difficult due to motionlessness. “We then took a completely different approach to this challenging problem by tracing the edges of the objects,” said UC Santa Barbara electrical and computer engineering professor Yasamin Mostofi.

 

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Artificial Intelligence

A futurist predicts human immortality by 2030

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Ray Kurzweil, a computer scientist and futurist, has set specific timelines for humanity’s immortality and AI’s singularity. If his predictions are correct, you can live forever by surviving the next seven years.

Kurzweil correctly predicted in 1990 that a computer would beat human world chess champions by 2000, the rise of portable computers and smartphones, the shift to wireless technology, and the Internet’s explosion before it was obvious.

He even checked his 20-year-old predictions in 2010. He claims that of his 147 1990 predictions for the years leading up to 2010, 115 were “entirely correct” 12 were essentially correct, and 3 were entirely wrong.

Of course, he miscalculates, predicting self-driving cars by 2009.

Though bold (and probably wrong), immortality claims shouldn’t be dismissed out of hand. Kurzweil has made bold predictions like this for years, sticking to his initial dates.

“2029 is the consistent date I have predicted for when an AI will pass a valid Turing test and therefore achieve human levels of intelligence,” Kurzweil said in 2017. “I have set the date 2045 for the ‘Singularity’ which is when we will multiply our effective intelligence a billion fold by merging with the intelligence we have created.”

Kurzweil predicts we will “advance human life expectancy” by “more than a year every year” by 2030. Part of this progress toward the singularity 15 years later will involve nanobots in our bloodstream repairing and connecting our brain to the cloud. When this happens, we can send videos (or emails if you want to think about the duller aspects of being a freaking cyborg) from our brains and backup our memories.

Kurzweil believes the singularity will make humans “godlike” rather than a threat.

We’ll be funnier. Our sexiness will increase. We’ll express love better,” he said in 2015.

“If I want to access 10,000 computers for two seconds, I can do that wirelessly,” he said, “and my cloud computing power multiplies ten thousandfold. We’ll use our neocortex.”

“I’m walking along and Larry Page comes, and I need a clever response, but 300 million modules in my neocortex won’t work. One billion for two seconds. Just like I can multiply my smartphone’s intelligence thousands-fold today, I can access that in the cloud.”

Nanobots can deliver drug payloads into brain tumors, but without significant advances in the next few years, it’s unlikely we’ll get there in seven years. Paralyzed patients can now spell sentences and monkeys can finally play Pong with brain-computer interfaces.

Kurzweil says we’re far from the future, with human-AI interactions mostly the old way. His accuracy will be determined by time. Fortunately, his predictions predict plenty of time.

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