Recently.Forbes (US publisher)AIColumnist and Radical Ventures partner Rob Toews has released his top 10 predictions for AI development in 2024. These predictions cover a wide range of aspects, from technological advances to industry dynamics, and provide an in-depth insight into future AI trends.
First, Rob Toews predictsNVIDIA, computer graphics card companywill accelerate to become a cloud provider. As AI technology continues to develop, the demand for high-performance computing resources continues to grow. NVIDIA, as a leader in GPU technology, is expected to gain a larger share of the cloud services market.
Secondly.Stability AImay go out of business. This prediction may be related to competition in the market, the sustainability of the business model, and the speed of technological development. However, the specifics remain to be seen.
Third, the terms large language model and LLM will become less common. As AI technology continues to advance and application scenarios expand, new terms and concepts may emerge, leading to less frequent use of some traditional terms.
Fourth, state-of-the-art closed models will continue to significantly outperform state-of-the-art open source models. This prediction underscores the importance of model optimization and customization, and hints at the competitive dynamics in AI technology between the open source community and commercial companies.
Fifth, a number of Fortune 500 companies will create a new executive position: chiefartificial intelligence (AI)Officer. As AI technology continues to gain prominence in business operations, there is a need for a dedicated executive position responsible for the development and implementation of AI strategy.
Sixth, alternatives to the Transfer architecture will be meaningfully adopted. This means that new model architectures and technical approaches may gradually replace the traditional Transfer architecture in AI.
Seventh, cloud providers' strategic investments in AI startups, and the associated accounting implications, will be questioned by regulators. This prediction touches on a number of aspects of business competition, financial transparency, and regulatory policy.
Eighth.Microsoft corporationtogether withOpenAIrelationship will begin to crack. As partners, theMicrosoft corporationrespond in singingOpenAIThere is a close relationship in the AI space. However, this relationship may fluctuate or adjust as business interests and strategic goals change.
Ninth, some of the hype and follow-through from cryptocurrencies to AI in 2023 will shift back to cryptocurrencies in 2024. This prediction may involve cyclical changes in market hype, investment trends and technology maturity.
Finally, Rob Toews predicts that at least one U.S. court will rule that AI-generated models trained on the Internet infringe copyright. This prediction touches on the legal issues between intellectual property protection and the development of AI technology, and is worth keeping an eye on.
These predictions provide insights into future AI trends. As technology continues to advance and application scenarios expand, the AI field will continue to emerge with new opportunities and challenges.
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