The washingtonpost describes the current despair that can be felt in the US from many technology companies and research institutions who really need to hire skilled workers and were hoping that this year would see new legislation pass through Congress to allow US companies to employ talented people from aboard.
Some feel that the bill that has been put forward, tried to change too much :
"It is incredibly difficult to pass major legislative reforms in any areas, and they tried to bite off a lot," said Jenifer Verdery, a policy director for Intel Corp., which has lobbied for more skilled foreign workers. "We've made a strong case, and we're hoping to take that to the finish line . . . if there is any policymaking left to do after the election."
But the current situation is getting unbearable for many specialised companies in the US :
Jai Pathak cited the Hungarian roots of Intel Corp. co-founder Andrew S. Grove, whose work helped create the modern computer industry that employs millions of Americans.
"What would have happened if the United States had decided to close the doors on him?" Pathak said
I question the reliability and accuracy of Generative AI (GenAI) in enterprise scenarios, particularly when faced with adversarial questions, highlighting that current Large Language Models (LLMs) may be data-rich but lack in reasoning and causality. I would call for a more balanced approach to AI adoption in cases of assisting users, requiring supervision, and the need for better LLM models that can be trusted, learn, and reason.
I discuss my experience with chatbots, contrasting older rules-based systems with newer GenAI (General Artificial Intelligence) chatbots. We cannot dismiss the creative capabilities of GenAI-based chatbots, but these systems lack reliability, especially in customer-facing applications, and improvements in the way AI is structured could lead to a "software renaissance," potentially reducing society's technical debt.
The article discusses the contrasting debate on how AI safety is and should be managed, its impact on technical debt, and its societal implications.
It notes the Center for AI Safety's call for a worldwide focus on the risks of AI, and Meredith Whittaker's criticism that such warnings preserve the status quo, strengthening tech giants' dominance. The piece also highlights AI's potential to decrease societal and technical debt by making software production cheaper, simpler, and resulting in far more innovation. It provides examples of cost-effective open-source models that perform well and emphasizes the rapid pace of AI innovation. Last, the article emphasises the need for adaptive legislation to match the pace of AI innovation, empowering suitable government entities for oversight, defining appropriate scopes for legislation and regulation, addressing ethical issues and biases in AI, and promoting public engagement in AI regulatory decisions.
Japan has made its ruling on the situation between Content creators and Businesses. Japanese companies that use AI have the freedom to use content for training purposes without the burden of copyright laws. This news about the copyright laws in Japan reported over at Technomancers is seen as Businesses: 1 / Content Creators: 0 The […]