PitchBook-新兴空间简报：AGI研究（英）-10份

1Ali Javaheri Analyst, Emerging Technologyali.javaheri@pitchbook.comOriginally published October 3, 2024pbinstitutionalresearch@pitchbook.comEMERGING SPACE BRIEFAGI ResearchTrending companiesOverviewThe goal of artificial general intelligence (AGI) research is to develop software capable of reasoning, problem-solving, and autonomously adapting to new challenges without task-specific programming. Unlike narrow AI, which is trained for specific tasks, AGI has the potential to perform any intellectual task a human can, with the capacity to automate the majority of economically valuable work across diverse industries.BackgroundAGI has its roots in the mid-20th century, coinciding with the advent of the first digital computers in the 1940s. Pioneers such as Alan Turing posed critical questions about machine intelligence, leading to the conceptualization of the Turing test in 1950. The term “artificial intelligence” was coined by John McCarthy in 1955, marking the official birth of AI as a field. Despite early optimism from figures such as Marvin Minsky predicting AGI within a decade, setbacks in research led to an AI winter during the 1970s.Progress picked up again in the 1990s with IBM’s Deep Blue defeating chess grand master Garry Kasparov, a milestone indicating that computers were catching up to human intelligence. Futurists such as Ray Kurzweil continued to make bold predictions, forecasting AGI by 2029. The 21st century has witnessed significant advancements, including a major breakthrough in 2016 when DeepMind’s AlphaGo beat world champion Lee Sedol in the complex game of Go, a feat requiring creative and strategic thinking. Most recently, the release of OpenAI’s ChatGPT in 2022 marked another leap toward AGI, generating humanlike text and driving increased investment in the field.Humanity’s fascination with AGI is evident in pop culture, with characters such as JARVIS from the Iron Man comic book and movie series embodying the ambition for intelligent systems that act as both assistants and decision-makers. Today, founders with AGI aspirations are raising capital, aiming to develop systems within VC funding timelines by projecting current scaling laws. AGI is unlikely to emerge all at once; instead, it will likely progress through human-level breakthroughs in various domains, each contributing to the broader development of AGI.AGI research VC deal activity Deal value ($M)Deal count201920182020 20212022 2023 2024$701.2 $143.6 $66.5 $2,986.1 $1,484.5 $16,563.7 $15,938.6 1131111234139Source: PitchBook • Geography: GlobalAs of September 27, 2024Brendan Burke Senior Analyst, Emerging Technology brendan.burke@pitchbook.comFor a deeper dive into the data and to explore additional insights, visit the PitchBook Platform or request a free trial.2Emerging Space Brief: AGI ResearchTechnologies and processes Current AI technology pushes the boundaries of narrow AI, with generative AI (GenAI) representing a significant step toward something more humanl