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Can Generative AI help our innovation and productivity? Lets ask.
Prompt: I'm studying ways to be more innovative. I'm out of new ideas. Can you give me some ways to be more innovative?
Copilot:
Absolutely, here are some strategies that might help you to be more innovative:
1. **Diversify Your Knowledge**: Innovation often comes from connecting different fields. Try to learn about a wide range of subjects outside your area of expertise.
2. **Question Everything**: Don't take things at face value. Ask why things are done the way they are and think about how they could be done differently.
3. **Embrace Failure**: Not every idea will be a winner. Don't be afraid to fail. Each failure is a learning opportunity that can lead to a successful innovation.
4. **Collaborate with Others**: Different perspectives can spark new ideas. Try brainstorming with people from diverse backgrounds and disciplines.
5. **Stay Curious**: Keep an open mind and never stop learning. The more curious you are, the more opportunities you have to discover innovative solutions.
6. **Observe and Listen**: Pay attention to what's happening around you. You might find inspiration in the most unexpected places.
7. **Experiment Constantly**: Try out new ideas and see what works. The more you experiment, the more likely you are to come up with an innovative solution.
8. **Think in Reverse**: If you're stuck on a problem, try thinking in reverse. Instead of thinking about what you need to do to achieve your goal, think about the outcomes you want to avoid.
9. **Use Mind Maps**: Mind maps can help you visualize your thoughts and connect ideas in new ways.
10. **Take Breaks**: Sometimes, taking a break can help your mind relax and come up with new ideas.
Remember, innovation is a process and it takes time. Don't rush it and don't get discouraged if you don't come up with a groundbreaking idea right away. Good luck!
Prompt: I'm looking for suggestions on how Generative AI can help us with innovation. Can you provide some suggestions?
Copilot:
Absolutely, Generative AI has the potential to revolutionize many fields by fostering innovation. Here are some ways it can help:
1. **Product Design**: Generative AI can be used to create new product designs. By learning from a dataset of existing designs, it can generate new and unique designs that meet specific criteria.
2. **Content Creation**: Generative AI can be used to create content such as articles, poems, stories, and even music. This can lead to new forms of art and expression.
3. **Drug Discovery**: In the field of medicine, Generative AI can help in the discovery of new drugs. It can predict the properties of potential drugs and generate new drug candidates.
4. **Predictive Analysis**: Generative AI can be used to predict future trends based on historical data. This can be particularly useful in fields like finance and weather forecasting.
5. **Personalized Recommendations**: Generative AI can be used to provide personalized recommendations to users based on their past behavior. This can improve user experience in areas like e-commerce and entertainment.
6. **Education**: Generative AI can be used to create personalized learning materials for students, adapting to their learning style and pace.
Remember, while Generative AI holds great promise, it's also important to consider ethical implications such as data privacy and the potential for misuse. It's crucial to use Generative AI responsibly and with clear guidelines.
Prompt: Can you generate an image that represents generative AI helping with innovation?
Copilot: I'll try to create that. (image shown at top of page)
Other stories we are following:
5-step plan to come up with great ideas :
book "Scale: The Universal Laws of Life, Growth, and Death in Organisms, Cities, and Companies:" Geoffrey West
innovation scales superlinearly with size of city: double the size of the city, and innovation goes up 2**1.15 = 2.22 times
book "Why Nations Fail", Acemoglu, Robinson
inclusive economic institutions --such as property rights, patent rights, copyrights-- incentivize innovation and creative destruction
inclusive politicial institutions -such as democracy / structure of electoral system-- incentivize the development of inclusive economic institutions
Hypothesis: to get a few more % of GDP growth, improve the electoral system to be a few % more inclusive. Example: Proportional Representation vs First Past the Post.
book "The Origin of Wealth", Beinhocker, 2007
innovation in economy is evolutionary algorithm, like evolution in biology:
differentiation: bio sex mixing of genes, mutations, economic: deductive-tinkering / mixing of business plan elements
selection: bio survival from fitness in environment, economic: level 1: business plan selection by business managers, level 2 selection by market based on fitness in (constantly evolving) economic environment / market
amplification: bio: reproduction, economic: cash flow, investor feedback used for scaling production across economic environment / world
deductive-tinkering - combines rational / scientific / STEM analysis / thinking / simulation with human intuition / hunches / experimenting and accidental discoveries
Innovation as industrial policy:
Criteria for new clean economy industrial policy for Canada:
https://transitionaccelerator.ca/reports/the-right-move-at-the-right-time/
targeted / focussed - picking winners that leverage country's potential strengths
coordinated - industry / academic research / government
supporting government policy -- supply- and demand-side
book: The Entrepreneurial State: Debunking Public vs. Private Sector Myths, Mariana Mazzucato
https://marianamazzucato.com/books/the-entrepreneurial-state/
https://www.youtube.com/watch?v=5P7bWwcXVS8
“Developing creativity in primary school learners”, Matthew Blacker
1. What is Creativity?
2. Bloom’s Taxonomy
LOTS – lower order thinking skills:
- remember facts / concepts
- understand / explain ideas or concepts
- apply / use info / execute / implement in new situations
HOTS – higher order thinking skills:
- analyze / draw connections among ideas
- evaluate / justify a decision
- create / produce new or original work
x rigid educational program, time pressure
x fear – social, punishment, losing marks
3. Questioning styles
* open ended questions
* explorative – different ways to get at an answer ‘why do you say that?’ > justification ideas
* non-judgmental – helping students justify their answer, help them get to the right answer
* encourage elaboration – expand on answers ‘how do you know that?’
* stimulating – interesting topics / relates to personal lives
* why? – why they gave a certain answer, weather it’s right or wrong
4. Encouraging creativity
- invite personal responses – no set answer
- non-judgmental atmosphere – what they are trying to say rather than how they say it, express first
- create constraints – framework for creativity, 100 words, 3 characters, 1 friend, 1 bad character (vs overwhelmed)
- 4 golden principles:
— acknowledge – individuality, valid, equal among students
— listen – no pre-judgement
— challenge – right level (vs too easy > bored, vs too difficult > doubt abilities)
— support – help / guide in non-judgmental way
- students perform at their level > praise at their level for trying
5. Activities for the classroom
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