Episode 2. Are we all about to become Luddites soon?

Transactional relationships

1. People like to say they hate transactional relationships, but actually all of your relationships are transactional. It may feel bad if each individual interaction is transactional or if the overall direction of the transaction favors only one person. If that’s the case, stop doing that

1. Transitioning from Project manager to scrum master

1. The Agile Audit; Daria and Banky

2. Do you need to be technical? You need to be technical enough to understand what kinds of issues the developers are facing, but it can be a benefit to say you don’t understand some details so they can explain. It helps cultivate the servant part of servant leadership. You aren’t there to dictate and tell them they’re doing everything wrong: it’s a relationship that requires the exchange of different areas of expertise. It can also help you build relationships with functions outside dev by being able to simplify technical issues

2. Luddites: what they were really fighting about

1. 99% Invisible - Blood in the Machine: Roman Mars & Brian Merchant

2. Before machines entered manufacturing, humans were able to work at human scale, at a reasonable comfort and speed. Once machines were introduced, work became dangerous, less skilled, lower paid, and sometimes deadly. Luddites fought against the use of machines to devalue the human effort that it replaced and that it required. 

3. How did you know it was love? (video)

1. It was calm and comfortable and not anxious, and unique. Some people didn’t know. They weren’t sure if they had experienced it. A mom was surprised by the answer her daughter gave and thought maybe her daughter knew better than she did. It’s a beautiful and hopeful video that shows different ways we experience, verbalize, and receive love. Recommend

4. Why you don’t have what you want YET

1. The Marie Forleo Podcast - Ep 377. The #1 Reason You Don’t have what you want - YET

2. Marie was inspired by a really good roasted cauliflower at a restaurant in the West Village called DIG on Bleeker. She spoke to the chef, who told a story of failure and success that highlighted the three ways to achieve anything you want.

3. Three steps to get what you want

1. Identify what you want

2. List where you’re lacking

3. Take action

5. Journaling: https://youtu.be/qCYubGq77Qs?si=Xab-5CcVEWjDANHt https://youtu.be/E8vwGLMTx5I 

1. Provide clarity

1. Understand patterns

2. Know what you really want

3. Externalize your thoughts

4. Coach yourself

2. Get out the junk

1. Remove the unnecessary and unhelpful thoughts

6. Using emotion to cultivate discipline (video)

1. Discipline is an emotion – the opposite of discipline (resolve) is doubt

2. Use resolve to eliminate doubt and cultivate discipline

1. When you have resolve, your behavior looks like discipline

2. Use yoga to cultivate resolve

1. Notice when you feel resolve – it  fuels your willpower

2. Practice to develop resolve – pick one thing that you want to be resolved about; pick something relatively easy! Big important things are hard! Practice every day within the first hour or two of your day by thinking about and feeling your resolve, make the feeling grow

7. The next evolution of Large Language Models

   This AI Research Introduces Owl: A New Large Language Model for IT Operations

   Researchers from the University of Oregon and Adobe Introduce CulturaX: A Multilingual Dataset with 6.3T Tokens in 167 Languages Tailored for Large Language Model (LLM) Development

   1. Like most students, I switched my majors in college. I went from a varsity track running premed student majoring in Music to a French and Linguistics double major. My mom (computer engineer) suggested I add programming to my skills and focus on Natural Language Processing. I made a weak attempt and wasn’t confident at it, but my interest in language and tech kept me close to the subject. I knew GPT 3 was going to be a big deal in the years leading up to its release. Now, we’ve got two new Large Language Models coming down the pipeline that will lead us to more questions about how we want to use machines for our work, and what role humans will have in the future.