## I feel overwhelmed by AI [(00:00:00)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=0s) - A new flagship model, [[GPT-4o | GPT 40]], has been introduced, offering the most intelligent AI experience [(00:00:04)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=4s). - [[Gemini (chatbot) | Gemini]] is delivering this advanced AI experience, marking a significant milestone [(00:00:08)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=8s). - The launch of Amazon Nova has led to the introduction of over 50 new products [(00:00:12)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=12s). - A unique approach is being taken, which has not been attempted by any tech company before [(00:00:16)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=16s). - [[Google]] has been at the forefront of advancements in AI, with its model being more advanced than any other [(00:00:20)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=20s). - The LAR model is considered the smartest, and Gemini is the largest and most capable model [(00:00:25)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=25s). - Gemini 2.0 enables new frontiers in intelligence [(00:00:30)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=30s). ## The problem with learning AI [(00:00:37)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=37s) - Many people, including those in high-pressure positions like managers at Google, feel the need to keep up with AI developments, but struggle due to the overwhelming amount of information available and the lack of a clear roadmap to navigate it [(00:00:39)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=39s). - A non-technical background can also be a significant obstacle to learning about AI, as it was for the individual in question, who initially felt held back despite their efforts to learn [(00:00:48)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=48s). - Despite these challenges, it is possible to become confident in one's understanding of AI, as demonstrated by the individual's own experience of consuming newsletters, podcasts, and courses, embedding AI tools into their workflow, and running workshops to test their knowledge over a period of two plus years [(00:00:51)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=51s). - The main problem is not that individuals are behind in their knowledge of AI, but rather that they have not been shown a clear and actionable roadmap to navigate the subject [(00:01:03)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=63s). - The three biggest challenges holding people back in AI will be broken down, along with the exact strategies used to overcome them [(00:01:19)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=79s). ## Challenge 1: AI Tools Paralysis [(00:01:20)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=80s) - The AI tools market is filled with new product launches, feature announcements, and benchmark tests, making it difficult to identify which tools can actually boost daily productivity [(00:01:22)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=82s). - New features and impressive benchmark scores mean nothing if they don't translate to real-world impact, as seen in the example of Open AI's new model dominating benchmark tests but being 30 times slower and more expensive than the older model [(00:01:44)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=104s). - The confusion is exacerbated by every major tech company claiming to have the best AI tool, with multiple models available for text generation, and even more tools for text-to-image, text-to-video, and text-to-audio [(00:02:17)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=137s). - This "tools paralysis" can lead to a loss of motivation to learn and use AI tools, but a solution is to develop a "minimum viable toolkit strategy" by identifying the smallest set of AI tools that cover essential needs [(00:02:50)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=170s). - The minimum viable toolkit strategy involves spotting recurring needs at work, finding the right tool, mastering one tool, and committing to using it until it becomes second nature [(00:03:12)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=192s). - An example of this strategy is using [[Perplexity AI | Perplexity]] for research, which won over other tools due to its speed and user-friendliness, and earned a permanent spot in the toolkit [(00:03:28)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=208s). - A contrasting example is Napkin AI, which promised to turn text into stunning visuals but couldn't produce sophisticated graphics, and therefore didn't make the cut [(00:03:55)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=235s). - It's recommended to stay focused, identify key needs, and slowly build out the minimum viable toolkit, rather than trying to keep up with every new product announcement [(00:04:34)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=274s). ## Challenge 2: Death by Prompts [(00:04:40)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=280s) - Death by prompts is a problem that occurs when users identify AI applications that fit their needs but struggle to use them consistently due to the friction of typing out long prompts multiple times a day [(00:04:52)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=292s). - One solution to this problem is to use a text expander, which allows users to instantly generate long prompts with a few keystrokes, saving time and increasing productivity [(00:05:21)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=321s). - Examples of text expanders include Alfred (paid), Raycast (free for [[MacOS | Mac]]), and Beef Tex (free for Windows), and using one for a week can help users see the time-saving benefits [(00:05:41)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=341s). - Another solution is to embed prompts directly into workflows by organizing information based on where it will be used, rather than where it was found [(00:05:56)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=356s). - This can be achieved by including hyperlinks to specific prompts within calendar events or project management spreadsheets, making it easier to access and use the prompts when needed [(00:06:21)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=381s). - Having a central location for storing prompts, such as a prompts database in [[Notion (productivity software) | Notion]], can also help users link to them from their actual workflows and reduce friction [(00:06:39)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=399s). - Real-world examples of embedding prompts into workflows include using a text expansion shortcut to summarize project updates for leadership and linking to a prompt that transforms raw feedback into a clean and consistent format [(00:06:13)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=373s). - Using text expanders and embedding prompts into workflows are essential to removing friction points and making AI applications more accessible and user-friendly [(00:07:11)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=431s). ## Challenge 3: Update Suffocation [(00:07:18)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=438s) - Update Suffocation refers to the overwhelming flood of information that causes a major roadblock in one's learning journey, leading to decision fatigue [(00:07:28)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=448s). - To overcome this, a simple two-step system called the Impact Loop can be used, starting with Step One: learning, which involves consuming AI updates daily but being ruthlessly selective and following only one to two trusted curators [(00:07:54)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=474s). - To receive updates, one can subscribe to popular newsletters, such as six recommended newsletters, and then unsubscribe from the ones that don't resonate after a few days, leaving only one to two subscriptions [(00:08:13)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=493s). - Alternatively, one can listen to updates through podcasts like the AI Daily Brief, but email updates are recommended as they are easier to take notes on [(00:08:26)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=506s). - The goal is to build a habit of spending 5 to 10 minutes a day staying current, which naturally leads to Step Two of the Impact Loop: taking action [(00:08:36)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=516s). - Taking action involves blocking out a specific time every week, such as 1 hour every Saturday, to experiment with one thing learned, not everything, and implementing something learned is infinitely more valuable than hours of passive consumption [(00:08:43)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=523s). - Examples of taking action include exploring new features, such as Chachi BT's [[Notion (productivity software) | Notion]] integration, and testing prompts related to one's work, like Google's extensive prompt library [(00:08:54)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=534s). - Consistency is key to the Impact Loop strategy, even if it's just 30 minutes a week, and taking action is more valuable than passive consumption [(00:09:21)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=561s). ## Recap of 3 Strategies [(00:09:34)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=574s) - The real challenge with AI is not about catching up, but rather about building sustainable systems [(00:09:35)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=575s). - Following the three strategies outlined can change one's relationship with AI, allowing them to build a focused toolkit that handles 80% of their needs [(00:09:41)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=581s). - This approach enables seamless embedding of prompts into daily workflow, eliminating struggles with prompts [(00:09:52)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=592s). - It also helps to confidently learn and implement AI at one's own pace, avoiding being overwhelmed by updates [(00:09:58)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=598s). - Additional AI-related content can be found in the AI playlist [(00:10:03)](https://www.youtube.com/watch?v=j63bBK_ct-M&t=603s). ## Sources - [website](https://www.youtube.com/watch?v=j63bBK_ct-M)