Unmaking Sense

Continuing to explore some of the implications of long-context models such as the latest Google Gemini with a maximum of 10 million tokens.

The frenetic pace of change continues.

Much ado …

A few random remarks about my adventures with server.cpp as part of the llama.cpp project. With apologies to John Milton.

The vast amounts of data that human minds cannot make sense of and how AI will do it for us.

How AI is intrinsically better at discerning the meaning in what humans think irrelevant noise. Why anticipating trouble - for all its echoes of “Minority Report” - is or soon will be more possible than we might like to think.

Servers that store data.

A rather windy and noisy episode.

This episode is about the potential benefits of using artificial intelligence (AI) in education to promote intercultural understanding and empathy. The author suggests that AI can help us see things from different perspectives, including those of colonized or persecuted people, and provide balance and nuance to our own cultural prejudices. This can be achieved through virtual reality headsets that transport us into different times and places, allowing us to share those spaces with the native or indigenous people. The author also discusses the need for a kaleidoscopic curriculum that shows the world from multiple perspectives, promoting empathy and understanding. However, the author notes that someone needs to take the trouble to curate the data and train the AI that will present such a world to us, acknowledging that there will be political interference and opposition to doing so. Despite this, the author encourages us not to become too despondent and to recognize the potential benefits of using AI in education for intercultural understanding and empathy.

(Weird abstract by AI!) In this monologue, John reflects on the role of AI in education and its potential to promote intercultural understanding and empathy. He begins by discussing how nations tell stories about themselves that make them feel comfortable and righteous, often ignoring or downplaying their past wrongdoings. AI can help break down these cultural prejudices by providing opportunities for people to see things from different perspectives through virtual reality headsets and augmented reality. This technology can transport users to different times and places, allowing them to experience the lives of enslaved, colonised, persecuted, or marginalized people.
John then touches on the importance of recognizing one's own nation's past mistakes and addressing current inequalities. He notes that while it is easy to point fingers at others, it is crucial to acknowledge and confront the shortcomings in one's own society. The curriculum, he suggests, should not only focus on making students employable but also encourage them to learn about diverse perspectives and histories.
John argues for a kaleidoscopic curriculum that showcases multiple viewpoints and experiences. He believes this approach will foster empathy and understanding among students, allowing them to see beyond their own cultural biases. The kaleidoscope metaphor highlights the ever-changing nature of this curriculum, as it constantly rearranges perspectives and challenges users to reassess their assumptions.
In conclusion, John emphasizes the need for AI in education to provide a more comprehensive understanding of the world by showcasing diverse experiences and histories. This approach can help break down cultural barriers and foster intercultural empathy, ultimately contributing to a more inclusive and informed society.