Solresol

Solresol is a Substack focused on applying AI and technology in educational settings, trends in AI development, and its impact on society including the workforce and social mobility. It also explores niche fields like p-adic linguistics, translation technologies, and the Solresol language, alongside practical concerns like cybersecurity.

Artificial Intelligence Education Technology Social Mobility and Economy Cybersecurity Translation Technology Natural Language Processing Data Science Language and Linguistics

The hottest Substack posts of Solresol

And their main takeaways
19 implied HN points 24 Jun 24
  1. A survey on AI Engineers in Australia showed a gender distribution that is not surprising compared to other fields in computer science.
  2. AI Engineers are mostly located in Sydney, Melbourne, and Brisbane, with surprising results from Canberra and migrant-heavy origins from India and China.
  3. The field of AI Engineering is rapidly growing, with the number of professionals doubling every 26 months, suggesting a potential saturation of the workforce in the future.
19 implied HN points 02 Apr 24
  1. Custom bots can be helpful for teaching classes by allowing students to ask questions about the content and assessments.
  2. Setting up custom bots for teaching is relatively easy, but there may be equity-of-access issues for students who do not have access to certain tools.
  3. One consideration when using custom bots in teaching is transcribing lectures with technical terms to ensure students understand the content.
19 implied HN points 12 Dec 23
  1. Consider using AI for translating educational materials to make learning more accessible to students with different language backgrounds.
  2. Engaging students by providing educational content in their native language can improve their learning experience and motivation.
  3. Discuss the evolving importance of improving English fluency versus providing education in native languages to cater to global diversity.
1 HN point 01 Jul 24
  1. Social mobility is a key indicator of societal fairness, showing whether individuals can move up or down in society based on opportunities, rather than birth.
  2. Wealthier countries tend to exhibit higher social mobility, providing more opportunities across all levels of society.
  3. The increasing role of AI in the workforce may lead to significant changes in social mobility: boosting GDP and potentially causing political upheaval as elites shift.
0 implied HN points 04 Mar 24
  1. A degree focused on Contact Centre Administration could cover topics such as IP networking, VoIP, AI applications, compliance, training, and queue behavior.
  2. Contact centres have unique challenges like high turnover and tailored training needs, making a strong case for a formal degree program.
  3. Many individuals in contact centre management learn on-the-job, highlighting a gap in formal education opportunities in this field.
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0 implied HN points 13 Feb 24
  1. Theme music in an artificial language sets the tone for lectures on text encoding.
  2. Speech-to-text translation for multi-lingual lectures can have challenges like warping sound and misidentifying speakers.
  3. Efforts to translate lectures into various languages can save time and resources compared to re-recording multiple versions.
0 implied HN points 08 Jun 24
  1. Generative AI models are becoming more complex and powerful, with potential risk implications as the number of free parameters increases significantly.
  2. There is a divide in the AI community between those who believe in scaling up existing AI technology for superhuman intelligence and those who believe in the need for fundamental breakthroughs before achieving human-level AI.
  3. The use of large language models like ChatGPT has the potential to revolutionize industries by offering cutting-edge research capabilities and automation tools at an affordable price, but also raises concerns about cybersecurity and the need for responsible AI governance.
0 implied HN points 12 Dec 23
  1. AI tools like flawless speech-to-text and language models can simplify tedious tasks in education.
  2. Utilizing sound recorders to narrate student marks and AI tools like Whisper can assist in cross-checking data accuracy.
  3. Using AI prompts to identify discrepancies between data in spreadsheets and transcripts can be efficient and reliable.
0 implied HN points 12 Dec 23
  1. AI tools like MacWhisper and OpenAI's command-line tools can help automate transcription of lectures, making it easier to generate accurate transcripts of recorded lessons.
  2. The use of AI-powered transcription tools like Whisper model or paying OpenAI can benefit students, including those who are hearing-impaired, by providing high-quality transcriptions that enhance their learning experience.
  3. The advancements in transcription technology have made high-quality voice-to-text transcriptions more reliable and accessible, improving the overall educational experience for all students.
0 implied HN points 27 May 24
  1. Many students in the cohort did not train their own computer vision models, instead relying on prompting AI models which proved to be inefficient and not very accurate.
  2. Explainability of results was emphasized in the research projects, with students looking into explaining their models' outcomes.
  3. The compatibility of blockchains with quantum computers is uncertain due to the vulnerability of traditional encryption methods to quantum breaking, leading to ongoing research on solutions.
0 implied HN points 27 Apr 24
  1. Expert surveys predict AI could fully take over telephone banking by 2026, prompting banks to invest in AI to keep up with the market.
  2. By reporting AI expenditure, banks can show they are forward-thinking and not lagging behind in technology.
  3. A prediction market is available for those interested in betting on whether Australian banks will prioritize AI investments this year.