Raw LLM Responses
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G
I was using Microsoft Word and one day my 5-year-old laptop just had Copilot on …
ytc_Ugza2IpAu…
G
Also, Im a 40 yeara old gay man so I was around before the main use of the inter…
ytc_Ugx9qggK5…
G
As an IT specialist, I understand the stress and uncertainty that comes with the…
ytc_Ugz_hyfU3…
G
bullshit.
The wealth extraction in poor countries works only because there are c…
ytc_UgwRpGRa7…
G
When they come up with an ai dev tool that helps you build apps, where it can co…
ytc_UgxwrMIEW…
G
9:20 NO LAWS or proper implementation of the said law will be done unless deep f…
ytc_Ugy9RNn0p…
G
As someone that appreciates art I can tell you that as soon as I think it's AI I…
ytc_UgwHWvWZy…
G
I am almost more worried about human-kind treating inanimate objects as humans. …
ytc_UgyVZwPfM…
Comment
In his TED talk, Andrew Ng emphasizes the parallels between the rise of AI and literacy, highlighting the need for broad access to technology for societal advancement. He points out that AI development is predominantly concentrated in big tech companies, which restricts access for small businesses and individuals. However, small enterprises like local pizza shops and T-shirt companies stand to gain significantly from AI, potentially improving operations and boosting revenue. Ng notes that many AI applications require custom solutions tailored to the unique needs of individual businesses rather than a one-size-fits-all approach. Emerging development platforms are changing this landscape by enabling users to create AI systems with minimal coding, focusing instead on data input. By democratizing access to AI tools, everyday professionals, such as accountants and quality inspectors, can develop tailored AI solutions. This empowerment could lead to broader economic benefits, enhancing productivity and innovation across various sectors. Ng envisions a future where everyone has the tools to build AI systems, driving significant advancements in multiple industries.
youtube
AI Governance
2024-11-02T07:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[{"id":"ytc_UgzsI7DQd-VfPn27a194AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxHkM5P43rA0TotBNt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugw50WH3GJJp0dulFZJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzP2_J3g_INmqwHgH94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyKuAfuzzgHUZnwG5h4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxEms8pRCNkM24BJzl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzCz47ZhrhVh-JaRBh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyrmGtqhTZOEB335lR4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyXOJzC6GZ-pDJyjv14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxF-6MfeODcClNVaWV4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"}]