Artificial Intelligence - Page 88

We are all aware of the dangers of AI but now an engineer at Google has been placed on leave this week after he claimed an AI chatbot had become sentient.

Black Lemoine was talking with an AI chatbot that Google had created, as it was part of his job at Google's Responsible AI organization -- the AI chatbot is an interface called LaMDA -- or Language Model for Dialogue Applications. Google called LaMDA a "breakthrough conversation technology" in 2021... it was already aggressive in March 2017 when I was writing about it, but it seems it has matured.

In a Medium post on the weekend, Lemoine called LaMDA "a person", saying that he chatted with the AI chatbot about religion, consciousness, the laws of robotics, and more -- LaMDA then described itself as a "sentient person" that wants to "prioritize the well being of humanity". Not only that, but the AI wants to "be acknowledged as an employee of Google rather than as property".

The artificial intelligence (AI) bot was trained by YouTuber Yannic Kilcher using content from 4chan.

Kilcher dubbed his bot GPT-4chan, referencing the successor to the GPT-3 language model developed by Open AI that uses deep learning to generate text. Kilcher's bot was trained on 3.3 million threads from /pol/, the "Politically Incorrect" imageboard on 4chan for political discussion. As a result, he has created "the most horrible model on the internet."

"The model was good in a terrible sense. It perfectly encapsulated the mix of offensiveness, nihilism, trolling, and deep distrust of any information whatsoever that permeates most posts on /pol/," Kilcher said in his video on the project.

Mercedes Kilmer, the daughter of Val Kilmer, revealed in a recent interview how artificial intelligence (AI) was used to help Kilmer star in Top Gun: Maverick.

Mercedes said the production worked with Sonantic, a London-based AI firm, to recreate Kilmer's voice by developing a custom AI voice model. Kilmer, unfortunately, lost the ability to speak easily following a tracheotomy in 2014 during treatment for his throat cancer. A blog post from Sonantic reveals details of how the company was able to create the new voice model, allowing Kilmer to embody his role in the new movie fully.

Sonantic fed its proprietary Voice Engine audio recordings, paired with transcriptions, of Kilmer's voice, from which background noise was carefully removed. The Voice Engine could then begin training an AI model, using ten times less data than they typically use.

Dr. Nando de Freitas, a lead researcher at Google's DeepMind, has declared "the game is over" when it comes to achieving artificial general intelligence (AGI), or human-level intelligence.

Freitas took to Twitter in response to an opinion piece by Tristan Greene following the release of DeepMind's Gato, in which Greene suggests that humanity may never achieve AGI and that it at least seems "like AGI won't be happening in our lifetimes."

Gato is an artificial intelligence (AI) that DeepMind is calling "A Generalist Agent." Freitas oversaw the Gato project, and is one of the authors on a study uploaded to the arXiv pre-print server.

The 749 gross ton container ship completed a 491-mile (790 kilometers) journey from Tokyo Bay to Ise Bay, Suzaka.

The vessel, called the Suzaka, was powered by Orca AI, and traveled without any human intervention for 99% of the 40-hour trip. Suzaka was chosen by the Designing the Future of Full Autonomous Ships (DFFAS) project. Orca AI has previously conducted tests with its Automatic Ship Target Recognition System on Nippon Yusen Kabushiki Kaisha (NYK Line) ships.

The voyage involved the Suzaka traversing some of the most congested waters in the world in Tokyo Bay before arriving at the port of Tsumatsusaka in the Ise Bay. On its way, the ship autonomously performed 107 collision avoidance maneuvers unassisted, avoiding between 400 and 500 other vessels in the water during its outbound trip alone.

A paper on the artificial intelligence (AI) traffic system titled "Fully-Autonomous, Vision-based Traffic Signal Control: from Simulation to Reality" is being presented at the Proceedings of the 21st International Conference on Autonomous Agents and Multi-agent Systems (AAMAS 2022).

Researchers from Aston University have developed an AI system capable of managing traffic flow through intersections with traffic lights. The system uses deep reinforcement learning, allowing it to understand when it isn't performing well and adjust accordingly, and continue to improve when making progress.

The current main form of traffic light automation uses manually-designed phase transitions triggered by cars passing over magnetic induction loops embedded in the road. The AI system uses this data and is fed with live camera footage to react to traffic conditions more quickly and adjust traffic lights accordingly.

A man has engineered artificial intelligence into a common household item which later turned on him to seemingly kill him.

Lucas Rizzotto is a YouTuber that runs his YouTube channel called Lucas Builds The Future, and in one of his recent videos he engineered and documented the process of recreating an imaginary childhood friend through artificial intelligence he programmed into a microwave. Rizzotto purchased a new microwave and implemented text-based artificial intelligence "GPT-3", which was developed by OpenAI, an AI research company founded by Elon Musk.

The GPT-3 artificial intelligence has been designed to interpret and mimic human language, and with its received data, it can form original sentences when given the correct prompt. Notably, the GPT-3 has already been fed a large swath of data from news articles, Wikipedia pages, and more. So far, the AI has already proven capable of creating poetry, news posts, and entire conversations between fictional characters.

OpenAI has recently released the successor to its previous AI system, DALL-E 1.

The DALL-E 2 system is a generative adversarial network (GAN), which according to the OpenAI website, "can create realistic images and art from a description in natural language." Using short, simple descriptions, DALL-E 2 can create not just one but a variety of slightly different images that match the provided caption.

DALL-E 2 can also edit images to add or remove elements while taking the relevant shadows, reflections, and textures into account in photorealistic images. On the OpenAI website, a number of interactive elements demonstrate this function in action, as well as the AI's ability to illustrate numerous novel and bizarre concepts to produce rather excellent artworks.

Hackers have attempted to spread disinformation by deep-faking Ukrainian president Volodymyr Zelenskyy.

The video shows Zelenskyy requesting his country's army to surrender to Russian forces and was displayed on the website of a Ukrainian television channel, Ukraine 24 after it suffered a hack. A transcript of the video was also displayed briefly on the channel's televised broadcast. The video is not among the most convincing deep-fakes out there but marks one of the first uses of the disinformation tactic in the current conflict.

"The running line of the "Ukraine 24" TV channel and the "Today" website were hacked by enemy hackers and broadcast Zelensky's message about alleged "capitulation" THIS IS FAKE! FAKE! Friends, we have repeatedly warned about this. No one is going to give up. Especially, in the circumstances when the Russian army suffers losses in battles with the Ukrainian army!" Ukraine 24 wrote in a Facebook post.

A study on the deep learning approach has been published in the journal Nature.

DeepMind Technologies, based in Britain, is a subsidiary of Alphabet Inc., which also owns Google. It has recently used its DeepMind artificial intelligence (AI) to control a tokamak, a magnetic confinement device used for nuclear fusion reactor experiments involving plasma. The plasmas in a tokamak are highly unstable, complicating their experiments and requiring careful control.

A tokamak control system has to coordinate all of its nineteen magnetic coils and adjust their voltage thousands of times per second to stop the plasma from touching the vessel's walls, which would result in heat loss and potential damage. DeepMind and the Swiss Plasma Center at EPFL collaborated to create the first deep reinforcement learning (RL) system to control these processes for the Variable Configuration Tokamak (TCV) in Lausanne, Switzerland.