Tech3 | A year of plateau and new directions for AI; Digital transformation deals drive IT recovery; and more
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A year of plateau and new directions for AI
As 2024 draws to a close, the AI landscape finds itself at a crossroads.
From GPT-3.5 to GPT-4, the tech world was abuzz with excitement. But as we close the chapter on this groundbreaking year, a new reality emerges: the AI landscape is hitting a plateau.
The scaling limits: For years, the mantra of the AI industry was "bigger is better."
However, recent developments suggest that this approach is reaching its limits.
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The data dilemma: As AI models grow, so does the need for high-quality, human-made data.
This has led companies like OpenAI to form partnerships with publishers and other organisations to acquire data—an expensive and time-consuming process.
Then comes the cost: Training cutting-edge AI models is an incredibly expensive endeavour.
Looking to 2025: In the years ahead, AI will likely evolve away from simple model scaling and toward more nuanced forms of growth.
Google’s Sundar Pichai has already hinted that the low-hanging fruit in AI research has been plucked, and the future will demand deeper, more profound innovations.
As we say goodbye to 2024, one thing is clear: the AI race is far from over.
Picture credit: Microsoft Copilot
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6dNice well written roundup of the genAI journey