Engage with this MIT Technology Review article as a GPT here: https://www.chatpdf.com/share/pprBKejVp2uXLtWX1kH83
What’s Next for AI in 2024 – MIT Technology Review (the source retains all copyrights)
Q: What are the four big trends to watch out for in AI in 2024 according to MIT Technology Review?
1. Multimodal Chatbots: The prediction is that the next big thing in chatbots would be multimodal, with the most powerful large language models working with text, images, and audio.
2. Tough New Regulations: Anticipated tough new regulations in the AI space, with references to Biden’s executive order and the European Union’s AI Act.
3. Pressure on Big Tech from Open-Source Startups: The expectation that Big Tech would feel pressure from open-source startups, although AI companies like OpenAI and Google DeepMind still stole the limelight.
4. AI Revolution in Drug Discovery: The prediction that AI would change big pharma for good, with the AI revolution in drug discovery in full swing, but the first drugs developed using AI are still some years from market.
These trends provide a glimpse into the potential developments and challenges that the AI industry may face in 2024, shaping the future of AI technology and its applications.
Q: What are some examples of the latest advancements in AI technology that are shaping the future of the industry?
1. Robots that Multitask: Roboticists are building more general-purpose robots inspired by core techniques behind generative AI’s current boom, enabling these robots to perform a wider range of tasks.
2. Multimodal Models: There has been a shift towards single, monolithic models trained to perform various tasks, such as identifying images, drawing them, captioning them, and more. Multimodal models like GPT-4 and Google DeepMind’s Gemini can solve visual tasks as well as linguistic ones, showcasing the advancement in AI capabilities.
3. Customized Chatbots: AI giants like Google and OpenAI are developing user-friendly platforms that allow people to customize powerful language models and create their own mini chatbots catering to specific needs, without requiring coding skills. State-of-the-art AI models, such as GPT-4 and Gemini, are multimodal, capable of processing not only text but also images and videos, unlocking new applications.
These advancements reflect the ongoing evolution of AI technology, with implications for robotics, language models, and the practical applications of AI in various domains.
Q: How accurate were the predictions made by MIT Technology Review for 2023, and how do they impact the outlook for AI in 2024?
MIT Technology Review made four big predictions for AI in 2023, and it seems that they were largely accurate. For example, they predicted that the next big thing in chatbots would be multimodal, and this has come to fruition with the most powerful large language models working with text, images, and audio. They also predicted that policymakers would draw up tough new regulations in the AI space, and this has happened with the Biden administration’s executive order and the European Union’s AI Act.
These accurate predictions suggest that MIT Technology Review has a good understanding of the AI industry and its trajectory. Looking ahead to 2024, these predictions could impact the outlook for AI by providing a basis for further predictions and expectations. For example, the anticipated tough new regulations could shape the development of AI technology and its applications, while the pressure on Big Tech from open-source startups could lead to increased competition and innovation in the industry.
++ Wrapping up by a human.
We’re all mesmerized by the potential and the velocity that AI has become the magic tech of the moment. Most companies (SMB and enterprise) are stunned into one of two modes.
LEARN + GO NOW
- Gain expertise and knowledge so we can take action.
- Utilize vendor experts (human capital is going to be a scarce resource).
- Start a few AI projects immediately.
- Show results, case studies, use cases, and cost-to-value equations.
UNDERSTAND FIRST AND GO ONCE WE KNOW WHAT TO DO.
- Let’s learn more before we jump in.
- Not sure where to start.
- What’s my first step in implementing an AI project?
- Who can help my marketing and sales team get ai-enabled?
Where Is Your Organization Now?
Where is your team? Are you using the current tools for CRM, content generation, and marketing optimization? What kind of help do you need? Where can you go to get more practical information about how to start, and what the project plan and learning curves look like for sales and marketing?
Go give this PDF a spin and have a chat of your own.
