{"id":87919,"date":"2023-07-24T11:31:51","date_gmt":"2023-07-24T15:31:51","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=87919"},"modified":"2023-07-24T12:30:40","modified_gmt":"2023-07-24T16:30:40","slug":"ais-impact-on-journalism-kenyans-the-sec-programming-ethics-ai-tools-and-more","status":"publish","type":"post","link":"https:\/\/danielschristian.com\/learning-ecosystems\/2023\/07\/24\/ais-impact-on-journalism-kenyans-the-sec-programming-ethics-ai-tools-and-more\/","title":{"rendered":"AI’s impact on journalism, some workers in Kenya, the SEC, programming, entertainment, ethics, AI tools, and more"},"content":{"rendered":"

Partnership with American Journalism Project to support local news<\/strong><\/a> — from openai.com; via The Rundown AI
\nA new $5+ million partnership aims to explore ways the development of artificial intelligence (AI) can support a thriving, innovative local news field, and ensure local news organizations shape the future of this emerging technology.<\/em><\/p>\n

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SEC\u2019s Gensler Warns AI Risks Financial Stability<\/a>\u00a0<\/strong>— from\u00a0bloomberg.com by Lydia Beyoud; via The Brainyacts
\nSEC on lookout for fraud, conflicts of interest, chair says | <\/em>Gensler cautions companies touting AI in corporate docs<\/em><\/p>\n

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Per a recent Brainyacts<\/em> posting:<\/strong><\/a><\/p>\n

The recent petition from Kenyan workers who engage in content moderation for OpenAI’s ChatGPT, via the intermediary company Sama, has opened a new discussion in the global legal market. This dialogue surrounds the concept of “harmful and dangerous technology work” and its implications for laws and regulations within the expansive field of AI development and deployment.<\/p>\n

The petition, asking for investigations into the working conditions and operations of big tech companies outsourcing services in Kenya, is notable not just for its immediate context but also for the broader legal issues it raises. Central among these is the notion of “harmful and dangerous technology work,” a term that encapsulates the uniquely modern form of labor involved in developing and ensuring the safety of AI systems.<\/p>\n

The most junior data labelers, or agents, earned a basic salary of 21,000 Kenyan shillings ($170) per month, with monthly bonuses and commissions for meeting performance targets that could elevate their\u00a0hourly rate to just $1.44\u00a0– a far cry from the $12.50 hourly rate that OpenAI paid Sama for their work. This discrepancy raises crucial questions about the fair distribution of economic benefits in the AI value chain.<\/strong><\/span><\/p><\/blockquote>\n

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How ChatGPT Code Interpreter (And Four Other AI Initiatives) Might Revolutionize Education<\/strong><\/a> — from edtechinsiders.substack.com by Phuong Do, Alex Sarlin, and Sarah Morin
\nAnd more on Meta’s Llama, education LLMs, the Supreme Court affirmative action ruling, and Byju’s continued unraveling<\/em><\/p>\n

Let\u2019s put it all together for emphasis. With Code Interpreter by ChatGPT, you can:<\/p>\n

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  1. Upload any file<\/li>\n
  2. Tell ChatGPT what you want to do with it<\/li>\n
  3. Receive your instructions translated into Python<\/li>\n
  4. Execute the code<\/li>\n
  5. Transform the output back into readable language (or visuals, charts, graphs, tables, etc.)<\/li>\n
  6. Provide the results (and the underlying Python code)<\/li>\n<\/ol>\n
    \n
    \n

    https:\/\/t.co\/2bYrKn1vUu<\/a><\/p>\n

    \u2014 Daniel Christian (he\/him\/his) (@dchristian5) July 24, 2023<\/a><\/p><\/blockquote>\n