INTEGRATION OF AI BEGINS 🤖

ISSUE 016

Welcome to the 16th edition of Curious Hours

It’s a new year but what better way to start the new year with an edition of Curious Hours newsletter. We’re back and we’ll be looking at what AI developments look like in 2024 and how we can benefit from this. Lets begin.

• White Collar Work Shifts: There will be mass adoption of AI by companies, which will significantly impact knowledge workers, including those in creative fields, law, and finance. These advancements in AI are expected to augment and extend the capabilities of these professionals rather than completely automate their jobs​​.

• Deepfake Proliferation: We'll see advancements in multimodal models, especially in video generation, leading to a proliferation of deepfakes. This will necessitate vigilance against disinformation and a legislative response, particularly in the EU, although major regulation in the U.S. is unlikely in an election year​​.

• GPUs Shortage: A global shortage of GPU processors, crucial for running AI applications, is expected due to increased demand from big companies. This will likely drive innovation in creating low-power alternatives to current GPUs and accelerate efforts to democratise access to AI technologies​​.

• More Helpful AI Agents: AI agents will evolve to perform tasks beyond mere conversation, such as making reservations, planning trips, and connecting to other services. Additionally, progress towards multimedia AI is anticipated​​.

• U.S. AI Regulation: The U.S. may see further legislative developments in AI policy following the introduction of the CREATE AI Act and an Executive Order on the development and use of AI. These policies aim to foster AI development while ensuring its safe and trustworthy use​​.

• Policy and Ethical Considerations: There will be ongoing discussions about the role of AI in society, focusing on ethical considerations and the establishment of guidelines and policies, particularly in terms of accountability and permissible uses of AI​​.

• Navigating AI Regulations: Companies will need to adapt to new regulations, particularly in California and Colorado, where laws will be enacted regarding automated decision-making and consumer privacy. This will likely influence how companies use AI in processes like hiring and insurance.

• OpenAI's Transition to a Product Company: OpenAI is expected to evolve into a more product-focused company, with a strong push for its GPT store, an 'app store for AI.' This shift is anticipated to have a significant impact on the AI market, with OpenAI adopting a more market-oriented approach​​.

• Advancements in AI Agents, Video, and Music: AI agents, generative video, and music are predicted to move from experimental phases to more practical applications. These technologies will see niche applications in 2024, with potential improvements in interacting with various forms of data and media​​.

• Understanding the Limits of Large Language Models (LLMs): There will be a greater focus on understanding the limitations and diminishing returns of monolithic LLMs, with a shift towards a mixture of more specific, possibly multimodal models​​.

• Apple's Entry into AI: Apple is expected to make a significant entry into the AI space with a focus on practical applications, potentially offering refined agent capabilities and improved data integration​​.

• Legal Cases in the AI Industry: The AI industry is likely to see the resolution of various lawsuits and regulatory actions, with new cases emerging around misuse and abuse of AI in various sectors​​.

• Early Adopters of New AI Rules: The AI industry will start adapting to new regulations, particularly in Europe, with a burgeoning AI compliance industry and limited federal regulation in the U.S.​​.

• Impact of AI on the 2024 Election: AI is expected to play a significant role in the 2024 U.S. presidential election, with concerns about disinformation and the use of AI in voter manipulation​​.

• Generative AI Avoiding Disillusionment: Generative AI is not expected to experience a phase of disillusionment in 2024, with mainstream adoption predicted to continue. Cost and regulation are seen as major hurdles, but open source AI is expected to facilitate regulatory compliance​​.

• Multimodal AI's Impact on Industries: Multimodal AI, capable of processing multiple types of inputs simultaneously, is predicted to bring new productivity levels to industries like manufacturing, engineering, and healthcare​​.

• Open Source AI's Role in Adoption: Open source large language models are expected to drive broader adoption of generative AI, with a focus on customisation and data differentiation​​.

• The Year of Responsible AI: 2024 is anticipated to see the standardisation of responsible AI protocols, with a focus on governance, safety, security, and trust​​.

• Rapid AI Regulation: There will be a fast emergence of national and global AI regulations, requiring enterprises to balance productivity gains with compliance and security concerns​​.

• Exposure of Organisations Lacking AI Policies: Organisations that overstep or lack clear AI policies are likely to face repercussions, including security breaches and violations of new regulations​.

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