The 1956 Dartmouth workshop was when AI gained its name and mission, and it is widely considered the birth of AI. Since then, AI has been evolving to provide superintelligence, hyperintelligence, or assisted intelligence. In the broader context, General AI is about robotics, digital twin technology, and automation used for productivity while rapidly improving time to insights by combining Big Data, Machine Learning, Reinforcement Learning, Foundational Models, and Large Language Models to solve problems that are too complex, complicated, and expensive to scale for humans.
Today, more than 1158 AI tools are deployed in the market, the AI market size is estimated at $119.78 billion. Over 203 U.S. Startups are also developing new AI tools and applications as almost every CEO discusses how they plan to use the technology as the next step in their digital transformation to capture the estimated $2.6 to $4.4 trillion of yearly economic value.
Generative Pre-trained Transformers, commonly known as GPT, are a family of neural network models that use the transformer architecture and are a key advancement in artificial intelligence (AI) powering generative AI applications such as ChatGPT.
GPT-4 large language model supports multimodal (images, text, sound, and video) that are the next step closer to general AI with some improved security controls. At a rumored 100T parameters, GPT-4 would be over 500 times larger than GPT-3.
Last week, more than 1,000 scientists and tech leaders, including Elon Musk, signed an open letter calling for a pause in the race to develop more powerful artificial intelligence models. The letter channeled a certain dread that many feel about this fast-changing technology. It also became a lightning rod for criticism from both AI advocates and skeptics.
John von Neumann, Vernor Vinge , and Ray Kurzweil argue that it is difficult or impossible for present-day humans to predict what human beings’ lives would be like in a post-singularity. The primary AI fears are hallucinations, bias, disinformation, and productivity improvements that result in job loss and loss of agency to a sentient technology. Based on the current level of transparency and global levels of cooperation, the idea that we can regulate technology seems unrealistic.
My simple AI truths
1. All technology can be used for good or evil.
2. AI will accelerate change along with our potential for promise and peril.
3. AI won’t entirely replace humans, but humans with AI will replace humans without AI.
For a deeper dive …
Attention is All You Need from Google Research
Ring Attention with Blockwise Transformers for Near-Infinite Context from UC Berkeley
Research from OpenAI
Emerging Architectures for LLM’s
AI Index Report from Stanford University
AI Transparency and Interpretability Index from Stanford University
Comparing AI Regulatory Proposals
Holistic Evaluation of Language Models (HELM) from Stanford University
State of Generative AI in 7 Charts from CBInsights
Generative AI Startup Market Map from CBInsights
