Hessie Jones is an Author, Strategist, Investor and Data Privacy Practitioner, advocating for human-centred AI, education and the ethical distribution of AI in this era of transformation.
Large Language Models have emerged as a transformative technology and have revolutionized AI with their ability to generate human-like text with seemingly unprecedented fluency and apparent comprehension. Trained on vast datasets of human-generated text, LLM s have unlocked innovations across industries, from content creation and language translation to data analytics and code generation.
"One of the things that gave OpenAI an edge very quickly was the alignment with human preferences," Feizpour observed."But which humans? Humans thatsaid are the right group of humans to provide preferences for the rest of the humans." This selection process, often opaque to the public, can embed particular biases into the models that are then perceived as objective outputs.
He suggests that human creativity is still very much at the heart of the process, even if it's less visible in the final product.Despite the dominance of large tech companies in LLM development, Feizpour sees ample opportunity for startups. He advises entrepreneurs to focus on solving specific customer problems rather than trying to compete on model size."The game of very, very large models are just won by the big entities," he acknowledged.
He even questioned the future boundaries of corporations:"If agents become very good at hiring gig workers to do something, onboarding them, having them do it, and then offboarding them, then what does it mean to have the boundaries of corporate?" These scenarios go beyond mere technological capabilities and touch the fabric of our economic and social structures.
Instead of relying solely on regulation, Feizpour advocates for an alternative approach: empowering entrepreneurs to build competitive alternatives. He suggests that by enabling ambitious entrepreneurs to create new solutions and make them available on more suitable terms, we can foster competition. This competition, in turn, can lead to empowering a diverse ecosystem of innovators who are incentivized to build ethical, robust systems.
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