Ringing In The New Year Via Seven Jackpot Predictions About Generative AI For 2024
Here are seven key predictions about generative AI for 2024. I explain why they are important and what you should be preparing for. Learn what others don’t likely know. Here’s my annual predictions about generative AI that looks ahead to 2024 and beyond.
Generative AI Multi-Modal Makes Majestic Mainstay Manifestly Moneymaker
In 2024, multi-modal generative AI is finally coming to fruition and will be a dominant focus throughout the new year. Generative AI has so far been primarily a single-mode or mono-modal affair. The commercial prospects at the time were relatively low.
It was mainly a fun thing to do and be able to gape in amazement at what the generative AI could pictorially derive. However, we are now on the verge of entering widely into the use of multi-modal generative AI more robustly and extensively. The multi-modal functionality is likely to attract more people toward using generative AI and we will go from the existing base to an even larger segment of the population.
You can anticipate that those already comfortable with generative AI will undoubtedly readily embrace the multi-modal features as they are rolled out. New entrants will be aplenty. Furthermore, the infusion of generative AI into other apps is going to skyrocket. Everyday apps that today have nothing to do with generative AI will be expanded to encompass generative AI.
Generative AI Compacted Capability Categorically Cautiously Convincingly Considered
In 2024, the mantra for generative AI will be to go small or go home. Most of the generative AI apps require making a connection to a cloud server that is running the generative AI program. The need for a network connection and potential privacy issues concerning the data pushed into the cloud are some of the downsides for the user or consumer.
Ideally, having the generative AI entirely operating on edge devices can alleviate these concerns. A method for doing this that has become relatively popular is known as retrieval-augmented generation (RAG). A rising concern is that each time you use generative AI, you are consuming environmental resources to do so.
Generative AI E-Wearables Enter Evocatively Everywhere Eventually Earne
We are finally going to have in the public marketplace some relatively sophisticated e-wearables that will be worthy of your consideration. The ease of use was also dismal. The hardware Features were minimal. The weight of the device was questionable. You had to be a diehard early adopter of new tech to want to pay through the nose to get relatively limited capabilities and something that was nearly unbearable to wear on your body for any sustained length of time.
The first half of 2024 will witness a slew of these hitting the shelves or being ordered and delivered via online stores. By the second half of 2024, we will either see an immense throng of people rushing to get them, or it could be a big fizzle and people decide these new mobile portable wearable electronics arenāt worth their weight in gold. Some believe that we will go through a series of classical tech cycles. The generative AI-empowered e-wearables will have an initial wave that is not quite fully figured out. The generative e-wearables in the 2.0 era will be markedly better than the first incarnation. Whether we can go from 1.0 to 2.0 in just the year 2024 is a seeming stretch of the imagination.
Generative AI Functionalities Fervently Favor Focus For Fruitfulness
Expertise is not a dime a dozen. When you consult with a medical doctor, a lawyer, or just about any professional, the odds are that you are tapping into their personal expertise. Generative AI is usually data trained on a wide swath of content on the Internet. There are large swaths that you are unlikely to touch upon. Furthermore, in a technically astute manner, you can potentially compress the generative AI system’s massive data structure into a much smaller size, including exploiting sparse areas of the artificial neural network (ANN) that do not provide any added value per se.
Generative AI GPU Golden Gadgetry Gaps Gaspingly Glaringly
The need for GPUs is growing and growing. The more people want to use generative AI, the more there is a need for GPUs. The manufacturers are overwhelmed with orders. There is a rising concern that each time you use generative AI, you are consuming environmental resources to do so. The aim is to find ways to make GPUs as efficient as possible and reduce the ecological profile involved in their usage.
Generative AI Courts Confusion Copyrights Consternation Cajoling Congress
Generative AI has made a rather ugly, mudslinging, protracted, outsized legal and ethical quagmire. One big question is whether the AI makers have overstepped the copyright laws by having pattern-matched on copyrighted content that was scanned on the Internet. Some copyright holders might have freely said yes, go ahead and scan their content. Others might have flatly refused. That’s a touchy matter.
Generative AI Deepfakes Disrupt Democracy Devilishly Dastardly Disturbingly
Deepfakes are going to be completely crazy and pervasive, muddling and confounding the activities underpinning the run-up to the elections. The deepfakes are usually devised via the use of generative AI. If we have any chance of overcoming polarization on a contemporary topic, perhaps the matter of deepfakes and generative AI is one of them. The intensity of disgust, concern, consternation, and public dismay about deepfakes is going to force lawmakers and regulators into doing something.
Conclusion
As we venture into 2024, it’s apparent that the landscape of generative AI is set to undergo profound transformations. The advent of multi-modal generative AI, compacted capabilities, AI e-wearables, and the integration of domain expertise into generative AI are set to revolutionize the way we interact with technology.
However, while these advancements bring tremendous potential, they also come with a set of challenges. The proliferation of GPUs, legal and ethical dilemmas, and the ubiquity of deepfakes pose significant hurdles that demand careful consideration and strategic solutions.
As the year unfolds, it will be crucial for stakeholders across industries, including businesses, policymakers, legal authorities, and technology developers, to collaborate and navigate these complexities with foresight and innovation. By doing so, we can harness the potential of generative AI while mitigating its risks, paving the way for a transformative and ethically sound future.
Ringing in the new year through these seven jackpot predictions about generative AI for 2024 calls for a blend of optimism, preparedness, and prudence. As we move forward, it’s essential to stay attuned to the evolving dynamics of generative AI and strive for responsible and forward-thinking approaches in leveraging its capabilities.
Source: forbes
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