It is about finding the right balance and incorporating micro-learning as a supplement to traditional professional development methods.


Hatched by Glasp

Sep 30, 2023

4 min read


It is about finding the right balance and incorporating micro-learning as a supplement to traditional professional development methods.

In the early days of AI, there has been a significant shift in the capabilities and products enabled by this technology. Rather than viewing LLMs, Transformers, and diffusion models as a continuum with past "AI", it is important to recognize that this marks the dawn of a new era and a discontinuity from the past. The value in prior AI waves was largely captured by incumbents, as the capabilities were not advanced enough to create new market openings. However, with the launch of ChatGPT and other similar technologies, it has become clear that AI is a big deal in terms of new capabilities.

Despite this, we are still far away from peak AI usage or peak AI hype. Large enterprise planning cycles often take several months, and the prototyping and building process can take up to a year for a large company. Therefore, it is safe to say that there are likely at least four waves of AI to consider in these early days.

The first wave consists of companies that have native AI capabilities, such as ChatGPT, Midjourney, Character.AI, Stable Diffusion, and Github copilot. These early launches have gained significant revenue and user traction, showcasing the potential of AI in various industries.

The current wave, which is the second wave, involves early startup adopters and fast mid-market incumbents. These startups are leveraging technologies like GPT-3.5/4 to develop innovative products and services. In addition, a small number of founder-led multi-billion companies like Navan, Notion, Quora, Replit, and Zapier have quickly embraced AI-powered products and are leading the way in this wave of adoption.

The third wave, which is coming soon, will see the founding of new startups that will further explore the possibilities of AI. This wave may include new formats like voice and video, as well as the utilization of natural language in more verticals and ways. Companies like Eleven Labs, LMNT, LFG Labs, Braintrust, and many more will contribute to the incremental experiences in this wave.

Looking ahead to the fourth wave, which is expected to arrive in 2024 or 2025, we can anticipate the first big enterprise adopters of AI. Due to the long planning and build cycles of larger companies, it will take some time before we see fully developed products from these enterprises. However, it is an exciting prospect to witness the impact of AI on industries beyond the tech giants like MSFT, Adobe, Google, and Meta.

In the realm of professional development, a new approach called micro-learning has emerged as a valuable tool. Micro-learning involves consuming short, bite-sized resources that can be quickly read, viewed, or consumed in ten minutes or less. These resources often consist of videos, infographics, or lists of tips, accompanied by instructional or assessment questions. The goal is to provide learners with easily digestible information that can be applied immediately.

However, it is important to note that micro-learning should not be seen as a replacement for longer-form learning. Instead, it should be seen as a complementary approach that can enhance traditional professional development methods. By incorporating micro-learning into the mix, learners can benefit from the convenience and efficiency of quick, focused learning experiences while still engaging in deeper, more comprehensive learning opportunities.

So how can professionals make the most of micro-learning in their professional development journey? Here are three actionable pieces of advice:

  • 1. Integrate micro-learning into your daily routine: Set aside dedicated time each day or week to engage with micro-learning resources. Whether it's during your lunch break or a short session before starting work, make it a habit to consume bite-sized learning materials regularly. This will help you stay up to date with the latest industry trends and acquire new skills without overwhelming your schedule.
  • 2. Seek out reputable sources: With the abundance of online resources available, it's crucial to be discerning about the content you engage with. Look for reputable sources that offer reliable and accurate information. Consider platforms or organizations known for their expertise in your industry and prioritize their micro-learning materials. This way, you can ensure that you are learning from credible and knowledgeable professionals.
  • 3. Apply what you learn: The true value of micro-learning lies in its immediate applicability. After consuming a micro-learning resource, take the time to reflect on how you can apply the knowledge or skills to your work. Look for opportunities to implement what you have learned and experiment with new approaches. By actively applying what you learn, you can solidify your understanding and maximize the impact of micro-learning on your professional growth.

In conclusion, the early days of AI have ushered in a new era of capabilities and products. It is essential to recognize the distinctiveness of this era and the potential it holds for various industries. Additionally, incorporating micro-learning into professional development can provide professionals with convenient and practical learning experiences. By integrating micro-learning into their routines, seeking out reputable sources, and actively applying what they learn, professionals can enhance their skills and stay ahead in an ever-evolving professional landscape.

Hatch New Ideas with Glasp AI 🐣

Glasp AI allows you to hatch new ideas based on your curated content. Let's curate and create with Glasp AI :)