IT'S FINALLY HERE!! This week, the world of consumer AI has been nothing short of epic. Sure, it feels like we're always saying that in this fast-paced field, but trust me, this week is something special.
Drumroll, please... OpenAI's ChatGPT has just leveled up! It's now packed with fresh training data right up to April 2023. To celebrate this momentous occasion, I decided to ask ChatGPT4 the burning question we've all been asking ourselves since it first came onto the scene:
How has AI changed since ChatGPT was first launched?
Before this update, ChatGPT's knowledge stopped in September 2021, which left us in the dark about the latest AI buzz. But hey, that's all changed now.
To spice things up this holiday season, I threw a fun twist into the mix. I asked ChatGPT4 to present its answer in a "Spotify Wrapped" style. So, get ready to check out ChatGPT's 2022 Wrapped: AI Edition below.
2022 was a landmark year for Artificial Intelligence, witnessing an explosion of breakthroughs. AI technology pushed the boundaries of creativity and efficiency, from astonishing developments in generative AI to advancements in ethical AI frameworks.
AI in art and creativity took the spotlight. New AI algorithms demonstrated an ability to generate art, music, and even creative writing, blurring the lines between human and machine creativity. These tools became a boon for artists and creators, offering new ways to innovate and express themselves.
AI-generated artwork took off in 2022, with algorithms creating everything from winning art pieces to being featured in prestigious exhibitions like the MoMA. Notable examples include Midjourney, DALL·E 2, and NightCafe (An A.I.-Generated Picture Won an Art Prize. Artists Aren't Happy | The New York Times).
Natural Language Processing reached new heights, with AI systems understanding and generating human language more effectively than ever. This year saw AI becoming more conversational, capable of more nuanced and context-aware interactions. Whether for customer service, content creation, or virtual assistance, NLP technologies made significant strides in making machines understand us better.
NLP saw significant advancements, such as Data2Vec 2.0 for text understanding, image segmentation, and speech translation, and Text-embedding-ada-002 by OpenAI for enhanced text processing. Google's Imagen, a text-to-image model, also emerged (Innovation Unleashed: The Hottest NLP Technologies of 2022 | Analytics Vidhya).
AI's impact on healthcare was profound. Machine learning algorithms aided in diagnosing diseases more accurately and rapidly, from cancer to rare genetic disorders. AI-driven tools also played a crucial role in drug discovery and personalized medicine, offering hope for treatments tailored to individual patients.
In healthcare, AI contributed to breakthroughs like mRNA vaccines for various diseases, PSMA-targeted therapy in prostate cancer, inclisiran for reducing LDL cholesterol, a dual GIP and GLP-1 receptor agonist for diabetes, and a novel treatment for postpartum depression (Cleveland Clinic Unveils Top 10 Medical Innovations of 2022 | Cleveland Clinic).
As AI's capabilities grew, so did the focus on its ethical use. 2022 witnessed a surge in discussions around AI ethics, governance, and policy. Governments, corporations, and academia collaborated to ensure AI's development was aligned with ethical standards, focusing on transparency, fairness, and accountability.
UNESCO's ‘Recommendation on the Ethics of Artificial Intelligence’ was a major step towards ethical AI, focusing on human rights, transparency, and fairness in AI applications across various domains (Ethics of Artificial Intelligence | UNESCO).
AI's role in combating climate change became more prominent. Algorithms optimized for energy efficiency, waste reduction, and renewable energy resource management showed that AI could be a crucial ally in the fight against global warming.
Robots got smarter and more versatile. In industries from manufacturing to logistics, AI-powered robots took on more complex tasks, improving efficiency and safety. The lines between robotic and human work continued to blur, with collaborative robots (cobots) working alongside humans.
Key trends included Robotic Process Automation (RPA) in hospitals, Robotics as a Service (RaaS) for small firms, Autonomous Mobile Robots (AMRs) as data acquisition platforms, and the rise of multi-purpose robots and cobots in retail automation (The rise of the cobots: robots that collaborate rather than compete with humans | Cybernews).
Businesses and financial institutions increasingly relied on AI for decision-making, risk assessment, and customer service. AI-driven analytics became indispensable for insights into market trends and consumer behavior.
AI adoption in businesses more than doubled since 2017, with a focus on optimization of service operations, marketing and sales, product and service development, and supply chain management. However, risk mitigation practices related to AI have not substantially increased (The state of AI in 2022 - and a half decade in review | McKinsey).
Self-driving technology advanced steadily. While fully autonomous cars weren't ubiquitous yet, significant progress was made in enhancing their safety and reliability, promising a future where roads are safer and transportation is more efficient.
2022 featured developments like software-defined compute architectures, electric powertrains, high-fidelity simulation, AI assistants, and autonomous trucking solutions. NVIDIA's DRIVE Orin and Omniverse were pivotal in narrowing the gap between virtual and real-world simulations for autonomous vehicles (Breakthroughs Pave Way for AV Innovations in 2022 | NVIDIA).
Just like the most thrilling Spotify playlists, AI in 2022 was a dynamic mix of innovation, challenge, and promise. It was a year that showcased AI's potential to transform our world, making life easier, work more productive, and the future brighter.
In case you're wondering - ChatGPT is still subject to hallucinations post-upgrade. Even in this blog, I scrubbed ChatGPT4's response of 1-2 hallucinations to avoid the spread of disinformation. So, while the response above may not be a direct quote, the message remains the same. I hope you enjoyed the read. That's a wrap, folks!