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Showing posts with label Technology. Show all posts
Showing posts with label Technology. Show all posts

Tuesday, 8 July 2025

Grok on the history of EVs

 The earliest electric vehicles (EVs) date back to the 19th century, predating modern gasoline cars. Here’s a concise overview:1830s: Robert Anderson, a Scottish inventor, is credited with creating one of the first crude electric carriages around 1832–1839, powered by non-rechargeable primary cells.

1840s–1880s: Inventors like Thomas Davenport and Gustave Trouvé developed early electric motors and vehicles. In 1881, Trouvé showcased an electric tricycle in Paris.

1880s–1890s: Rechargeable lead-acid batteries spurred EV development. In 1884, Thomas Parker built an electric car in England. By the late 1880s, companies like the Electric Carriage and Wagon Company in the U.S. produced electric taxis.

1890s–1900s: EVs peaked in popularity, especially in urban areas, due to their quiet operation and ease of use compared to steam or gasoline vehicles. In 1900, about 28% of U.S. cars were electric, with manufacturers like Studebaker and Columbia producing models.

Decline: By the 1910s, EVs waned due to limited battery range (20–40 miles), high costs, and the rise of affordable gasoline cars like the Ford Model T, coupled with improved road infrastructure favoring longer-range vehicles.

EVs saw a revival in the late 20th century with models like GM’s EV1 (1996), but the modern era began with the Tesla Roadster (2008) and Nissan Leaf (2010), driven by advancements in lithium-ion batteries.


Friday, 25 April 2025

GROK on building an ethical android

Ensuring humanoid robots remain ethical as they become more autonomous involves embedding robust frameworks into their design, deployment, and oversight. Here’s a concise breakdown of key strategies:

Ethical Programming: Hardcode foundational ethical principles, like Asimov’s Three Laws or variations, into their core decision-making algorithms. These should prioritize human safety, non-maleficence, and respect for autonomy, while allowing flexibility for context-specific moral reasoning.

Transparent AI Models: Use interpretable AI systems so developers and users can understand how robots make decisions. Black-box models should be avoided to ensure accountability and traceability of ethical choices.

Continuous Oversight: Implement real-time monitoring systems to track robot behavior. Autonomous robots should have "ethical kill switches" or remote intervention capabilities to halt actions that deviate from ethical norms.

Value Alignment: Train robots on diverse, inclusive datasets reflecting global ethical perspectives to avoid cultural biases. Regularly update these datasets to adapt to evolving societal values.

Regulatory Frameworks: Establish international standards and certifications for ethical robot behavior, enforced by independent auditing bodies. These should mandate regular ethical stress-testing of autonomous systems.

Human-in-the-Loop: For high-stakes decisions, require human approval or supervision to ensure robots don’t act unilaterally in morally ambiguous situations.

 Public Engagement: Involve ethicists, policymakers, and the public in shaping the moral parameters of robots to ensure broad societal acceptance and trust.

Challenges include balancing autonomy with control, resolving conflicting ethical principles, and preventing malicious reprogramming. Ongoing research, like that from groups such as the IEEE’s Ethically Aligned Design initiative, emphasizes iterative testing and global collaboration to address these issues.