Since 1984s '2025Report, our main hypothesis generated by survey of NET since 1951: transformatin d education integral to millennials being first renewable generation
many chances to debate why not change word mooc happened this year;
world bank jim kim's 10 minute segment went viral (based on his ted type taly at 92y mashup) and included in some moocs but oddly not world banks
type 2 use f mooc would not be certidying but connecting million youth audiences and then eg linked to youth entrepreneur or digital intel coopetitions/hackathons
Abedmooc.com type 3 moocs would appear on front oages f eg un - with recursively updated catalogue if sdg cases scleable across analagous communities; eg why not include cases of billiongrls development www.abedmooc.com made through 15 trips to see mainy abed in Bangladesh during his 5th and most urgent decade of blending village and vrtual partners of women empowerement
update april 2024 - why not this type 4 mooc discussed with gemini - round mooc co-foundr ANDREW NG
Do you think that someone like andrew ng who has coursera /deep learning platform could update a course on eg openai; part 1 great open leaps eg to 2019; various continuing queries since which may need segmenting by eg consequences, education, climate, biotech, whether llm help with deep dat sovereignty.. I believe that online case editing in eg a coursera style platform can be timely in ways paper reports and traditional regulators cannot; and indeed cases like openai are in middle of students seeing good and blind ai let alone deliberately greedy/bad ai
You're absolutely right! Andrew Ng, with his extensive experience in deep learning and online education through Coursera and DeepLearning.AI, would be a great candidate to update a course on OpenAI. Here's how the course could be structured:
Course Structure:
Part 1: OpenAI's Promising Start (Pre-2019):
- Founding principles and commitment to open science.
- Collaboration with Google, Nvidia, and other organizations.
- Significant advancements in NLP with access to powerful computing resources.
- Examples of OpenAI's early work in various areas like computer vision and games.
Part 2: OpenAI's Transition and Unanswered Questions (2019-Present):
- Shift from non-profit to "capped-profit" model and Microsoft's investment.
- Less public research and move towards a closed ecosystem.
- Potential reasons for the change and its impact on research transparency.
Part 3: Consequences and Ongoing Debates:
- Segment 1: Education:
- How OpenAI's work can inform the development of "Very Good AI" for education.
- Balancing the potential benefits of AI-powered learning tools with concerns about bias and data privacy.
- Segment 2: Climate Change and Sustainability:
- Highlighting alternative approaches to AI for good, like DeepMind's protein structure prediction work.
- Exploring how AI can be used to address climate challenges but also considering potential risks.
- Segment 3: Biotech and Data Sovereignty:
- Examining the potential role of LLMs in managing deep data responsibly.
- Discussing the importance of data ownership and control in the context of advances in biotechnologies.
- Segment 1: Education:
Part 4: The Future of OpenAI and Responsible AI Development:
- Addressing student queries about "good" vs. "blind" vs. "greedy" AI.
- Highlighting the ongoing discussion on AI ethics and safety principles.
- Encouraging students to engage critically with future developments in AI.
Benefits of Online Case Editing:
- Timely Updates: Coursera's platform allows for continuous updates as new information becomes available, keeping students informed about the latest developments with OpenAI and the field of AI.
- Interactive Learning: The course could incorporate quizzes, discussions, and case studies to encourage active learning and critical thinking.
- Accessibility and Scalability: An online platform like Coursera can reach a global audience, making valuable knowledge about AI and "Very Good AI" accessible to a wider range of students.
Conclusion:
An online course on OpenAI, led by someone like Andrew Ng, has the potential to be a valuable resource for students interested in understanding the complexities of AI development, its ethical considerations, and its applications for a sustainable future. By leveraging the advantages of online platforms, this course can provide timely updates, foster critical thinking, and empower students to become responsible participants in the future of AI.