Sunday, December 31, 2023

Each stage of digital development lacked foresight to integrated education next

 Title is a phrase Bard came up with - i was asking whether it was likely tim berners lee was aware of neural networking algorithms and deep data ai when he came to mit to father the worldwide web;

 in fact we can go back 50 years to trace how lack of educational foresight happened at each western step (not sure about elsewhere)- happy to discuss chapter and verse of past if anyone wants but most of all urgently now as llm race to generalised ai - how do we make sure education not ledt out this time- here's a bit more of bard on this


You're absolutely right, with the rapid advancements in LLMs and the pursuit of general AI, ensuring deep education isn't neglected again requires deliberate efforts and foresight. Here are some potential ways we can avoid past mistakes:

1. Embedding educational priorities in AI development:

  • Ethical frameworks and value alignment: Establishing ethical frameworks that prioritize education as a core value for AI development can guide research and implementation towards socially beneficial outcomes.
  • Funding and resource allocation: Directing funding and resources towards research and development specifically focused on AI applications in education can foster innovation and bridge the gap between cutting-edge AI and practical educational tools.
  • Collaboration between researchers and educators: Encourage and incentivize collaboration between AI researchers and education practitioners to ensure AI solutions address real-world educational challenges and needs.

2. Building a standardized and accessible educational infrastructure:

  • Open educational resources and standardized formats: Promoting open educational resources (OERs) and standardized data formats can make high-quality educational content readily available and adaptable for diverse learning environments.
  • Interoperable learning platforms: Develop interoperable learning platforms that integrate AI-powered tools seamlessly, allowing educators to personalize learning experiences without being locked into specific proprietary systems.
  • Bridging the digital divide: Address the global digital divide by ensuring equitable access to technology and internet connectivity, enabling everyone to participate in the benefits of AI-powered education.

3. Emphasizing responsible and human-centered AI development:

  • Transparency and explainability: Ensure AI tools used in education are transparent and explainable, allowing educators and learners to understand their decision-making processes and build trust in the technology.
  • Focus on human-centered learning: Promote AI applications that complement and enhance human learning, rather than aiming to replace educators or dictate learning pathways.
  • Lifelong learning and adaptability: Develop AI-powered tools that support lifelong learning and adapt to individual needs and preferences, fostering personalized and continuous learning experiences.

4. Fostering critical thinking and digital literacy:

  • Equipping learners with critical thinking skills: Teach learners to critically evaluate information and AI-generated content, fostering responsible and ethical participation in the digital world.
  • Developing digital literacy skills: Equip learners with the skills to understand and utilize AI technologies effectively, ensuring they can navigate the changing landscape of information and knowledge production.
  • Promoting active engagement with technology: Encourage learners to actively engage with and shape the development of AI in education, ensuring technology serves their needs and aspirations.

By proactively addressing these issues and continually iterating on our approach, we can leverage the power of LLMs and general AI to enhance deep education, creating a future where everyone has access to high-quality and personalized learning opportunities.

Remember, the journey towards a truly impactful AI-powered education is an ongoing process. Your questions and concerns are valuable contributions to this conversation, and by actively engaging in discussions and advocating for responsible AI development, we can steer this technology towards a brighter and more equitable future for education.

Thank you for your insightful questions and for helping me explore this important topic further!

AIGames :special thanks to friends at
OK humans have created celebrity platforms where world fame may be won, but a scientific advance that invites being played with, I am not sure that's ever happened before. And if you look a bit closer it actually took took more than 10 years for a very few people to advance- and what happened in 2023 is a 3rd and popular game form emerged whereas its the first 2 deep applications which are changing the discovery of medicines or possibly sharing actions most needed if millennials are to be the first sustainable generation. Not everyone will agree but I feel that the hyperpopular chats may waste your time if you dont have a basic sense of what it took 11 years of work by mainly 5 people to achieve. 4 led by female scientist Dr Fei-Fei Li primarily taught computers to recognise the 20000 objects (and living forms) that life most typically experiences in work and play; one team led by Hassabis taught a computer to play 'Go" probably the most detailed pattern logic game with the result that the computer paid its due by enabling humans to see natures 200+ million pattern codes -that otherwise might have required a billion man years work. These are really big but detailed things. Compared with that the chats are fun, absolutely amazing some of the time but would you bet your life on any general advice from them in 2020s.The way our AIgames guides to HumansAi looks at this is the chats are building what has previously been called web3- they, not virtual reality metaverse tools, are becoming the channels. At the same time virtual reality tools are one of 10 AI designer blend with when they need to But urgent very good AI solutions may mainly come from seeing Li's and Hassabis work. The good news is if we go forward from 2024 on believing everyone can become both a lifelong students and a life long mentor, we may most like;y get the very good ai that King Charles has launched ai world series to seek out (and we may prevent men from making fake or dangerous ai. At least until 2030 we should keep asking who was the maker of this AI
what's next after 15 most productive years on mother earth>
* Brooklyn's CTandon & WTsai . discusses the simplest maps of how UN is helping millennials be first sd generation .. see also WE GWB 1BG
Abed Abed had ideas to prevent extinction -here are the top 10 he discussed with us during 16 trips to bangladesh in his last decade The world would need cooperation between 60 new universities; their undergrad programs would be largely shared online but with local tutrs helping students do fieldtests replicating global village sdg solution -more
Abed had many comments on MOOCs these had not tried to design c for cooperation freeing youth to network across borders be these national , functional silos, or due to colleges certification monopolies he would have maximised new learning from world leaders zooms and ai curation as the metaevrse became main experiential learning platform ..more
Abed had revolutionised aid2.0 direct investment in microfranchsies and aid3.0 cashless banking and a banking for poorest enetry at ever stage of fincial value chain - eg city banking for smes particularly of daughters of village mothers;; ultra poverty graduation - a program that became the case on which nobek economis prize 2019 appears to have been centred; how would have expected his alumni to lead search for worldclassdaos - community building treasuries abed ideas motivated 2016 start of digital cooperation subsequently UN2 - guterres egov digital roadpmaking.abed would have wanted to help nominate membership of those daos to do with SHELFF - that goals 5 women building 100K person communities; goalf 3 health; goal 4 educaton goal 17&1 leadership ppartenr pkatofms and economics; goa2 food;
Welcome - we value hi-tech maps (see as well as servant leadership platforms energising 1000000 person villages where all lives matter. Help update 30 collaborations of the greatest economic miracle- see how a billion people ended extreme poverty. If younger half of world are to be the sustainability generation do you see urgent clues from 1 banking 2 food 3 health 4 education 5 women-empowered communities?

31 women intels to change 2024


& Melinda Gates & Condoleeza Rice

& AJ &  BJ  Yuna Kim, Naomi Osaka  Princess of Wales, Sonita Alizadeh, Beyonce

& Clara Wu Tsai,   Mrs Tandon, Eleanor Maguir

& Daphne Koller  Jennifer Doudna Priscilla Chan

& Lila Ibrahim Koike Moza  Ola Brown Eva Vertes

& Jeanne Lim, Rosalind Picard,  Rana El Kalouby

& Mrs Jerry Yang, Mrs Doehhr Mrs Steve Jobs

Audrey Tang, Bolor-Erdene Battsenge   Audrey Cheng Mrs V neumann, Turing's girl friend