ChatGPT Is Just The 'Tip Of The Iceberg' In Content-Creating Artificial Intelligence
AI-powered ChatGPT arrived in a firestorm nine weeks ago; wowing the tech world with its ability to do everything from writing a high school essay to debugging complex computer code. . Investors quickly realized how the startup's groundbreaking content creation tool OpenAI posed a threat to Google's stock and the search giant's market share.
"It looks like a time when there's a lot of disruption ahead;" said Sridhar Ramaswamy;
co-founder and chief executive of internet search startup Neeva and former senior vice president at Google. Ramaswamy oversaw Google's digital advertising business for five years.
ChatGPT Challenges
Generative AI technology could be used for nefarious purposes; for example; "deepfakes" in the video or helping hackers generate code. At least OpenAI admits that ChatGPT sometimes generates incorrect or biased content.
The company tested ChatGPT Plus; a version of chatbot for business users. In trials; OpenAI charges $20 per month for ChatGPT Plus.
Google and Anthropic announced a partnership on February 3. As part of the deal; Google invested $300 million in Anthropic; according to a report. Shares of Google fell 2.5% on Friday; largely due to the company's results on Thursday.
AI startups leverage generative AI
Microsoft is leveraging generative AI to create a new graphic design application; Microsoft Designer[1][2][3][4]. The application is based on OpenAI[5]'s DALL-E 2 image generation system; which uses AI to generate images based on natural language descriptions[5]. Microsoft also plans to integrate the image builder into Edge and Bing[4]. This integration of OpenAI's DALL-E 2 tools into Microsoft's graphic design software will allow users to create realistic images and art from natural language description[5].
Generative AI is being used by enterprise software companies such as HubSpot; Intuit; and Paycom to upend workplace processes and bring powerful capabilities to their customers[1][2][3]. HubSpot is leveraging AI to help marketing; sales; and service teams keep their databases clean[4]; while Tableau is using acquired AI capabilities to deliver improved analytics[5].
Venture Capital Jumps Into Generative AI
Venture capital investments in generative AI have seen a 425% jump since 2020; to $1.37 billion; according to data from PitchBook[1][2]. Generalist venture capitalists are now paying close attention to this niche area of artificial intelligence; and startups using generative AI have risen significantly in the past year.
Big Pharma Targets Drug Discovery
Gartner predicts that generative AI will be used to discover 30% of new drugs and industrial materials by 2025[1][2][3]; up from zero last year[1]. They also predict that by 2025; 30% of marketing content will be generated by AI[4]. Generative AI currently represents only 1% of all data produced; but Gartner predicts it will represent 10% of all data by 2025[5].[1][2][3][4][5]
He said that "Virtually all the large pharma and lots of small pharma startups are working on generative AI;". "It's been in development for a couple of years. Some drugs are in clinical trials now. It's going to be a major shift in the pharma industry."
OpenAI CEO Sam Altman has stated that GPT-4 is expected to be released in the first quarter of 2023
A fourth-generation version of OpenAI's large language model; GPT-4; is expected to be released in 2023. OpenAI said the fundamental data of GPT-4 will not be much larger than GPT-3; which was formed out of 175 billion "parameters".
The release date of OpenAI GPT-4 is currently unknown. Rumors suggest that it will be released in the first quarter of 2023[1]; but OpenAI CEO Sam Altman has not yet confirmed this[4].
In the meantime; OpenAI has quietly released a new version of GPT-3; called GPT-3.5. It is expected that GPT-4 will offer significantly more performance than GPT-3.5 and may have multimodal capabilities.
Google has invested heavily in machine learning and artificial intelligence
In a statement on Google's investment in machine learning and artificial intelligence; including the ChatGPT application; Mark Mahaney from Evercore ISI said that "Google has invested heavily in machine learning and artificial intelligence".
He noted that Google AI and DeepMind are integral to a bright AI-first future; and that Alphabet's investments in AI and deep computer science mean they can deliver a wide range of breakthroughs. Mahaney also highlighted the potential applications of generative artificial intelligence; the umbrella technology behind ChatGPT; for social media.