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At the start of the year, 99.99% of the world had never heard the words/terms: Chat-GPT, OpenAI, LLM (Large Language Model), Sam Altman, AGI & more. Now, at year’s end, these have all swiftly become cemented into the global lexicon. Now, as we bid farewell to 2023, it’s time to reflect on a year that has been nothing short of revolutionary in the world of Artificial Intelligence (AI). Here’s a comprehensive recap of the major events, releases, and collaborations that shaped the AI landscape over the previous twelve months.
Microsoft’s Game-Changing Investment (January)
The year kicked off with a seismic shift as Microsoft invested a whopping $10 billion in OpenAI. This investment paved the way for significant integrations of OpenAI’s cutting-edge technology into various Microsoft products, setting the stage for collaborative advancements.
Advancements in Text-to-Speech (January)
January also witnessed the launch of the 11 Labs beta, marking a milestone in the improvement of text-to-speech technology. The beta release made AI-generated voices more natural, but this advancement came with a caveat as it led to a surge in scams and fake audio, showcasing the dual-edged nature of progress.
AI Art Takes a Leap (January)
The artistic realm of AI saw a major breakthrough with the open-source release of InstructPix2Pix in January. This allowed for AI-based image editing, ushering in a new era of creative possibilities and pushing the boundaries of what AI could achieve in the field of visual arts.
Chatbots Enter the Arena (February)
February brought fierce competition to the chatbot space with the introduction of Google Bard and Microsoft’s Bing Chat. These newcomers aimed to rival the established ChatGPT, sparking a race to redefine conversational AI.
Revolutionizing AI Art with Control Nets (March)
March witnessed a paradigm shift in AI art with the introduction of Control Nets. This revolutionary technology enabled custom poses, image scribbling, and the utilization of depth maps, resulting in a significant leap forward in the realism and customizability of AI-generated images.
