In the relentless sprint of AI evolution, yesterday's revolutionaries can be today's afterthoughts. Not even a year ago, Stable Diffusion and Dall-E2 were heralded as the pioneers of new-age generative AI. Midjourney v5 effortlessly overtook them on release a few weeks ago. Photoshop AI can potentially make Midjourney stay at the top brief due to a host of features it offers over and above text-based creative capabilities.
This rapid innovation cycle isn't limited to image-based AI. Sectors, such as audio, video, chat, Large Language Models (LLMs), and even foundational infrastructures, are undergoing a similarly dizzying evolution. Plus, so many are encroaching on each's space with the development along the polymorphic and multi-modal lines. A real-life user can get a taste of this hyper-paced growth following the release of new Chrome extensions with ever-better capabilities almost daily.
Indeed, a silent revolution brews in the realm of computational efficiency. Technologies like Low Range Adapters (LoRa), neural compression, edge computing are reshaping AI models, while specialized AI chips, Tensor Processing Units (TPUs), and Field Programmable Gate Arrays (FPGAs) are transforming hardware. These innovations aim for radical optimizations - targeting up to 10x, even 100x speed boosts or resource reductions in the near future.
In another direction, groundbreaking concepts such as frozen weights and sub-matrices are nowhere near fully utilized and are poised to transform the landscape of open-source AI models. Visibility of where the AI fields are headed is dimmed further through regulations and subsidies.
The point is simple: in both pace and diffused structure, the world has never seen an innovation explosion like now. The galloping steed makes long-range investments difficult in financial investments, particularly in the upstream hardware and model innovation segments. The difficulty levels multiply in private investments where investors cannot change their decisions a few months or quarters hence or opt for an exit in the short period where many may emerge as winners before collapsing.
In the relentless sprint of AI evolution, yesterday's revolutionaries can be today's afterthoughts. Not even a year ago, Stable Diffusion and Dall-E2 were heralded as the pioneers of new-age generative AI. Midjourney v5 effortlessly overtook them on release a few weeks ago. Photoshop AI can potentially make Midjourney stay at the top brief due to a host of features it offers over and above text-based creative capabilities.
This rapid innovation cycle isn't limited to image-based AI. Sectors, such as audio, video, chat, Large Language Models (LLMs), and even foundational infrastructures, are undergoing a similarly dizzying evolution. Plus, so many are encroaching on each's space with the development along the polymorphic and multi-modal lines. A real-life user can get a taste of this hyper-paced growth following the release of new Chrome extensions with ever-better capabilities almost daily.
Indeed, a silent revolution brews in the realm of computational efficiency. Technologies like Low Range Adapters (LoRa), neural compression, edge computing are reshaping AI models, while specialized AI chips, Tensor Processing Units (TPUs), and Field Programmable Gate Arrays (FPGAs) are transforming hardware. These innovations aim for radical optimizations - targeting up to 10x, even 100x speed boosts or resource reductions in the near future.
In another direction, groundbreaking concepts such as frozen weights and sub-matrices are nowhere near fully utilized and are poised to transform the landscape of open-source AI models. Visibility of where the AI fields are headed is dimmed further through regulations and subsidies.
The point is simple: in both pace and diffused structure, the world has never seen an innovation explosion like now. The galloping steed makes long-range investments difficult in financial investments, particularly in the upstream hardware and model innovation segments. The difficulty levels multiply in private investments where investors cannot change their decisions a few months or quarters hence or opt for an exit in the short period where many may emerge as winners before collapsing.