AI
Last week, I was on stage with CIOs, CTOs, and Tech leaders from some of India’s largest finance and insurance companies, moderating a panel discussion on designing a Hybrid Cloud strategy that is ready for Gen AI. The rhetoric was different from what I was expecting. Beneath the buzzing excitement, I found a heavy undercurrent of expectations.
CIOs and CTOs are looking at LLMs with a cautious lens. It’s not about the upfront investment or the ROI; it’s about Gen AI falling short of expectations; the hype vs reality gap is much wider. What’s the gap? What’s missing? Gen AI is smart and conversational, but it’s still missing the “intelligence” bit. It still depends heavily on the level and depth of training that the ML algorithms go through and the quality of structured data that is fed upon. Where is human-like intelligence? It might be around the corner.
The rumours surrounding OpenAI’s Strawberry project have sparked interesting discussions about the future of AI. The big rumoured update with Strawberry is the arrival of reasoning skills. As we continue to push the boundaries of what’s possible with artificial intelligence, it’s worth revisiting the question: “Can machines think?”
What if Strawberry changes everything? What if this new model, rumoured to possess advanced reasoning capabilities, bridges the gap between human and artificial intelligence? The implications would be profound, far-reaching, and potentially transformative.
As I eagerly await the unveiling of Strawberry, I’m looking back at the tremendous progress we’ve made in AI. From the early days of rule-based systems to the current crop of large language models, we’ve witnessed significant strides in machine learning and natural language processing. Yet, despite these advances, we’ve still fallen short of true human-like intelligence.
Strawberry could be the game-changer we’ve been waiting for. By enabling machines to think critically, make decisions, and solve complex problems, we may finally be able to answer Turing’s question in the affirmative. But what then? Would we be comfortable with machines that can think, feel, and behave like us? The ethical implications are daunting, to say the least.
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Perhaps, though, I’m getting ahead of myself. Maybe Strawberry will turn out to be a small step towards AI reasoning rather than the revolutionary leap I’m anticipating. Maybe my excitement – and apprehension – is premature. But even if that’s the case, the fact that we’re having this conversation and pushing the boundaries of what’s possible with AI is fascinating and a bit unnerving at the same time.
The pursuit of AGI is a double-edged sword. We want machines to approach human intelligence to harness its full potential, but we’re cautious about the unknown repercussions. As we inch closer to AGI, we’re torn between excitement and apprehension. Will another step forward unleash a Pandora’s box of uncontrollable consequences or open up new possibilities? Critics warn of autonomous entities surpassing human intelligence, displacing workers, and eroding our sense of purpose. We’re hesitant to face the unknown, yet we can’t resist the allure of AGI’s promise. This conundrum leaves us questioning whether we’re ready for the future we’re creating. Either way, ready or not, the race for AI supremacy amongst the tech giants is leading us closer to AGI. In my opinion, the sooner we prepare ourselves, the easier it will be to internalize it and accept the change.
So, I ask you: are you nervous? Are you excited? Are you sceptical? What’s your reaction to large language models like ChatGPT moving towards AGI, logical reasoning, and human-like behaviour? Do you see a future where machines and humans coexist, collaborate, and perhaps even merge? Or do you see a more ominous outcome, where we lose control of our creations and face unforeseen consequences?