Elon Musk’s Open AI vs Deep Mind – See Who is more capable
Artificial intelligence (AI) is developing astoundingly, and new milestones are always being reached. Despite becoming accustomed to frequent advancements, we occasionally witness AI research pushing human cognition’s limits.
Just consider the innovations that have marked some of the most significant turning points in artificial intelligence over the past few decades, such as GPT-3, AlphaFold, AlphaGo, and several more models. Two ground-breaking releases from Deep Mind and Open AI startled us this year.
Companies like Deep Mind and Open AI are producing many new AI models. The GPT 3 model of Open AI is currently in new headings, and some specialists are comparing the GPT 3 because it has a real-world application.
Do you willing to know if Open AI is capable of Deep Mind? This article will cover Open AI vs. Deep Mind; continue reading to learn more.
What is Open AI?
A non-profit research organization called Open AI seeks to advance and guide artificial intelligence (AI) in ways that benefit all humanity. Elon Musk and Sam Altman founded it in 2015, with its headquarters in San Francisco, California.
It started with a US$1 billion promise; in February 2018, Musk left the board, but he continued to be a donor. Microsoft invested $1 billion in Open AI LP in the year 2019.
Open AI was partly developed due to its founders’ existential worries about the possibility of disaster by irresponsible use and abuse of general-purpose AI. The organization has a long-term focus on AI’s capabilities and fundamental advancements.
With its GPT-3 AI language model and as an AGI startup, Open AI is rapidly gaining recognition in the worldwide tech sector. The Open AI GPT-3 large-language model (LLM) can assist other businesses in better understanding their customers through text production, graphics, and various other services.
The objective is to develop and manage an AGI incorporating some minor language model shortcomings. The organization, viewed as a rival to Deep Mind, carries out AI research with the declared objective of promoting and creating benign AI in a way that benefits humanity.
DeepMind Technologies : AI subsidiary of Alphabet Inc.
Alphabet Inc.’s British artificial intelligence business and research facility, Deep Mind Technologies, was established in September 2010; Google purchased Deep Mind in 2014.
DeepMind Technologies has research facilities in the US, Canada, and France and its London headquarters. It became a wholly owned subsidiary of Google’s parent company, Alphabet Inc., in 2015.
A well-known machine learning example that exemplifies the potential of cutting-edge AI is Google Deep Mind. Deep Mind has developed a computer that resembles the human brain’s short-term memory.
Deep Mind Gato has introduced a new multi-modal artificial intelligence system that uses a neural network that knows how to play video games like humans and a neural network that can access an external memory like a conventional Turing machine.
Deep Mind Gato has introduced a new multi-modal artificial intelligence system capable of doing over 600 different jobs. The fantastic all-in-one machine learning kit has recently gained popularity in the international tech market.
Gato is gaining traction as a multi-modal, multi-tasking, and multi-embodiment generalist policy that can play Atari, communicate, and do various other things. With superior intelligent characteristics, it has emerged as a formidable rival to Open AI GPT-3 and Meta OPT.
Open AI vs Deep Mind: The Comparison
Deep Mind has achieved a remarkable feat that will most probably lead to the company making money. Gato can be more lucrative in the consumer market than Alexa, Siri, or Google Assistant.
Gato’s multi-tasking abilities are more comparable to a video game console with 600 different games than a game with 600 different methods to play them.
Open AI gained notoriety in 2016 when it developed the AlphaGo program, which learned how to play the board game Go and improved over time, outperforming any human player.
Instead, Deep Mind has been concentrating on proof-of-concept games like AlphaGo, whose agents have defeated humans using reinforcement learning techniques. The company can produce more commercially applicable AI by using a state-of-the-art baseline for Deep Reinforcement Learning algorithms.
The most coherent language model is Open AI’s third-generation Generative Pre-Training Transformer (GPT-3), which businesses can deploy to complete human activities.
DeepMind’s AI is still comparatively underutilized in everyday corporate operations, with only a few specialized applications. Google may likely develop ground-breaking apps in the future using Deep Reinforcement Learning (RL), a technology owned by Deep Mind.
Both businesses deal with Deep RL and similarly advanced artificial intelligence in research. According to an article, DeepMind now enables AI agents to sense dynamic real-world situations and boosts Google’s language models.
At the same time, key AGI obstacles that both of these IT organizations are dealing with include difficulties in teaching human-centric capabilities like sensory perception, motor skills, human-level creativity, problem-solving, etc., a lack of workable protocol, a lack of commercial alignment, a reduction in universality, and an absence of an AGI direction.
In conclusion, due to the success of well-known AI software companies like Open AI and Deep Mind, language models are continuously growing in popularity.
Both Open AI and Deep Mind are experiencing success. One year after Google purchased DeepMind, Musk co-founded the OpenAI research facility in San Francisco.
Deep Mind and Open AI are still advancing AI research and development. Deep Mind can develop its NLP capabilities further and produce large language models that could be widely applied.
Deep Mind has primarily concentrated on enhancing Google’s language models until now and is also powering AI agents to comprehend dynamic real-world situations.
Although they are both directly and indirectly related, Deep Mind appears more focused on “solving intelligence” (as stated in its mission statement) than Open AI.
Open AI primarily aims to democratize AI and enable the widespread development of generalized AI safely and efficiently. Moreover, despite the present enthusiasm, popularity, and use of GPT-3, it can claim that Open AI does appear to be an odds-on-favorite.