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AI Chatbots are now outdated. The future belongs to AI Agents capable of accomplishing various tasks.
AI Chatbots have so far been impressive, especially in their conversational abilities. But AI Agents, such as Devin AI and Google Deepminds' SIMA, are set to redefine our perception of AI and its potential capabilities.
Though the idea of Artificial Intelligence, specifically through chatbots, has only garnered mainstream attention recently, its influence has been remarkably substantial for numerous people. Currently, we are observing a substantial development with the rise of AI agents — beings that display nearly conscious attributes.
These agents possess the ability to observe their surroundings, independently carry out actions to achieve objectives, and continuously improve their understanding. This signifies a significant change in AI's abilities and possibilities, as these agents increasingly resemble self-governing beings who explore and engage with their environment.
The tech world has been stirred up by a newcomer called Cognition AI, which recently revealed its AI software, named Devin. This program can carry out tasks usually done by professional software developers. Devin surpasses the standard features of conventional chatbots such as ChatGPT and Gemini, as it doesn't just provide solutions, it also strategizes, writes code, runs tests, and applies them.
Conversely, Google's SIMA, an acronym for 'Scalable, Instructable, Multiworld Agent', is an innovative milestone in AI technology. SIMA, having been taught using a range of video games, can comprehend instructions given in everyday language within the framework of a virtual game world, and utilises image recognition to carry out duties efficiently.
Google has partnered with various game developers to provide training for SIMA across a wide range of video games. Some of these popular games include No Man’s Sky by Hello Games, Teardown by Tuxedo Labs, Valheim, and Goat Simulator 2, among others. This collaboration has endowed SIMA with an advanced comprehension of virtual environments and game mechanisms, allowing it to operate and engage within these settings independently.
Moreover, Google has utilized sophisticated AI systems to convert their abilities into actionable tasks via a language interface. This incorporation of state-of-the-art AI technology into common tasks highlights the transformative power of AI entities such as SIMA, in connecting virtual simulations with practical uses in the real world.
Devin is promoted by its developers as an "AI software developer." In a remarkable display of its capabilities, Devin was given the job of assessing Meta's open-source language model, Llama 2, on various hosting platforms. Notably, Devin produced a comprehensive project scheme, composed the required code to interface with APIs, conducted performance tests, and even built a website to display the results.
Though one should be careful with prearranged demos, Cognition AI has managed to draw interest and support, leading to debates and even humorous internet content speculating about possible job loss in the tech sector.
Devin epitomizes a larger pattern – the emergence of AI entities that can take initiative to tackle issues, rather than just providing guidance or responses. This pattern has been witnessed in multiple fields, such as software development and video games.
Not only new ventures like Cognition AI, but also industry giants like Google DeepMind, are heavily invested in creating AI agents. For example, DeepMind's SIMA has shown great skill in navigating intricate video games and drawing on human players' experiences to carry out various tasks. Although these agents are presently being utilized in gaming settings, it's speculated that they might eventually be used for more than just gaming, including activities like internet surfing or running software.
Despite the potential of AI representatives, there are still hurdles to overcome, especially in relation to error percentages and potential repercussions of those errors. Attempting to limit the range of tasks undertaken by AI representatives might lessen the risks, but we have a significant journey ahead in guaranteeing their dependability and security.
Moving forward, we can expect substantial progress in the field of AI agents. Google DeepMind's CEO, Demis Hassabis, has revealed intentions to combine large language models with AI programs trained on gaming, which could result in a considerable increase in their capabilities as these systems become more like agents. As funding for this field keeps increasing, we should brace ourselves for more advancements and breakthroughs in AI agent technology soon.
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Associated Narratives
NVIDIA's Jensen Huang believes AI hallucinations can be fixed and predicts that artificial general intelligence will be here in roughly 5 years.
Apple has at last introduced MM1, their multimodal AI system for generating text and images.
In partnership with Liverpool FC, Google's DeepMind has revealed a new AI football coach.
Microsoft has recruited Mustafa Suleyman, cofounder of DeepMind, to spearhead their new consumer AI group.
AI hallucinations can be rectified, and NVIDIA’s Jensen Huang estimates that artificial general intelligence is approximately 5 years away.
Apple has ultimately debuted MM1, its AI system capable of generating text and images.
In a joint venture with Liverpool FC, Google's DeepMind has presented a new AI football coach.
Microsoft has brought on Mustafa Suleyman, a key figure in the creation of DeepMind, to guide their fresh consumer AI team.
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