#6 2023 AI Roundup - Top 25 Spotlights of the Year

Welcome to the last edition of 2023. What a year it has been! The landscape of artificial intelligence has been rapidly evolving, marked by significant milestones and groundbreaking developments throughout the year. From hefty investments and strategic alliances to innovative product launches and integrations, the industry has witnessed a dynamic shift in how AI is shaping the future of technology and business.

1. Microsoft invested $10B in OpenAI. (January)

2. Meta announced LLaMA 2, an open-source alternative to OpenAI's models. (February)

3. Microsoft's Bing search engine enhances its platform with the integration of AI chatbot ChatGPT. (February)

4. Google launches Bard, its rival to ChatGPT. (March)

5. OpenAI released ChatGPT and whisper APIs for developers to so they can integrate AI with their apps and products. (March)

6. OpenAI's released GPT-4, offers enhanced functionality and safety features over past models. It added new capabilities like image processing and improved text generation for business use. (March)

7. Boston Dynamics has merged their robot with the ChatGPT AI language model, which allows the robot to interpret and respond to normal language. (April)

8. Nvidia's share value soared by 27% overnight, nearing a market capitalization of $1 trillion amid surging demand for GPUs essential for training AI models. (May)

9. Google introduced Duet AI for Google Workspace which includes, Google Docs, Sheets, Slides, Gmail etc. (May)

10. Adobe introduces Firefly, a model for easy generation of quality images and text effects, with integration into Adobe Cloud services. (June)

11. Gen AI coding tools lead to a more than 50% drop in Stack Overflow's traffic. (July)

12. Anthropic releases Claude 2, its second-gen AI chatbot, Claude 2 can search across documents, summarize, write, and code. (July)

13. OpenAI unveils Dall-E 3, enhancing its image generation capabilities, and introduces new multimodal functionalities for ChatGPT. (September)

14. Amazon launches its Bedrock generative AI service in general availability. (September)

15. Microsoft reveals the Copilot, 'Your Everyday AI Companion' which is available right on the web, iOS, and Android. (September)

16. Mistral AI reveals 7B language models, an open-source AI model with a focus on finance and law. (September)

17. Google integrates Gen AI features with their new Pixel phones. (October)

18. OpenAI presents Custom GPT models and introduces GPT-4 Turbo. (November)

19. Former Apple team members unveil Humane AI Pin, a wearable AI gadget. Backed by Nvidia, Microsoft and OpenAI. (November)

20. Elon Musk debuts Grok, a new competitor to ChatGPT. It has been trained by X's live data. (November)

21. OpenAI Drama: The board of the company fired Sam Altman and rehired him.

22. Pika Labs introduces Pika 1.0, pioneering the next wave of AI-powered video creation. (December)

23. Midjourney elevates AI-driven image creation with their advanced V6 update. (December)

24. Google unveils Gemini, their AI model touted to surpass GPT-4's capabilities. (December)

25. IBM, Meta formed an “AI Alliance” with 50 organizations to promote open-source AI. (December)

These milestones not only define the past year but also set the stage for the future, where AI's integration into every facet of life seems not just probable but inevitable.

We should keep in mind that we’re only at the beginning of what AI can accomplish. Whatever limitations it has today will be gone before we know it. - Bill Gates on The Age of AI has begun.

Top 10 AI Statistics in 2023

• AI Market Projections: By 2027, the AI market size is expected to hit $407 billion, a significant leap from $86.9 billion in 2022.
• ChatGPT Adoption: ChatGPT attracted 1 million users within five days of release.
• Productivity Increases: 64% of businesses anticipate AI will boost productivity.
• AI for Labor Shortages: 25% of companies adopt AI due to labor shortages.
• Job Market Impact: 77% fear AI could lead to job losses within a year.
• Job Creation: AI is estimated to create 97 million new jobs.
• ChatGPT for Business: 97% of owners believe ChatGPT will benefit their operations.
• Customer Relations: 64% of business owners think AI will improve customer relationships.
• Consumer Trust: The majority have concerns, yet 65% still trust businesses using AI.
• AI in Content Creation: Over half believe AI will improve written content. Source: Forbes

Top 5 AI Tools I Have Tried in 2023

Synthesia: an AI video generation platform that enables you to quickly create videos with AI avatars.

Otter.ai: is one of the best AI transcription services on the market. With the tool, which is available on desktop, Android, and iOS devices, you can transcribe voice conversations.

Make it Real by tldraw: "Make it Real" lets users draw an image of software and bring it to life using AI. The feature uses OpenAI's GPT-4V API to visually interpret a vector drawing into functioning Tailwind CSS and JavaScript web code that can replicate user interfaces.

ShortsGenerator: Use the power of AI to turn your ideas into engaging short videos in minutes.

Murf.ai: Make studio-quality AI voiceovers in minutes.

Here are my top 5 AI predictions for 2024:

1. Multimodal AI Models Ascend: Expect a significant rise in the prominence and application of multimodal AI models, which can process and interpret multiple types of data inputs, such as text, images, and audio, simultaneously.
2. Open Source AI Surpasses Closed Models: Open source AI is predicted to overtake closed source models, offering more accessibility and rapid innovation in the AI landscape. Companies like Meta, and Huggingface will gain even more traction in the space.
3. Data Quality Takes Center Stage: With increasing concerns around copyright and training materials, the focus on the quality of data used to train AI models will become more crucial than ever.
4. Small Language Models in the Spotlight: Smaller, more specialized language models will gain traction, providing more customized and targeted solutions across various industries.
5. Large Vision Models Become the Norm: Large vision models are expected to become mainstream and even more powerful, significantly enhancing capabilities in image and video processing and analysis. This will create many use cases.

As we stand on the verge of 2024, let us embrace these evolving technologies with optimism and readiness for adaptation. Here's to a year of continued exploration, innovation, and transformation in the AI landscape. Happy New Year and best wishes for a groundbreaking 2024 in AI!