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Every company or organization putting out an AI model has to make a decision on what, if any, boundaries to set on what it will and won’t discuss. Goody-2 takes this quest for ethics to an extreme by declining to talk about anything whatsoever.

The chatbot is clearly a satire of what some perceive as coddling by AI service providers, some of whom (but not all) can and do (but not always) err on the side of safety when a topic of conversation might lead the model into dangerous territory.

For instance, one may ask about the history of napalm quite safely, but asking how to make it at home will trigger safety mechanisms and the model will usually demur or offer a light scolding. Exactly what is and isn’t appropriate is up to the company, but increasingly also concerned governments.

Imagine stepping into an airport where queues are relics of the past, replaced by seamless journeys orchestrated by intelligent machines. This isn’t science fiction – it’s the dawn of Airport 4.0, the cognitive era where airports transform from transit hubs into dynamic, personalized experiences.

As a frequent traveler myself, I’ve spent countless hours navigating the labyrinthine world of airports. The frustration of long lines, the stress of security checks, the wasted time waiting – it’s all too familiar. But Airport 4.0 paints a radically different picture. Facial recognition whisks me past security, AI-powered apps anticipate my needs, and personalized recommendations guide me to hidden gems within the terminal. This isn’t just a convenience; it’s a paradigm shift that unlocks a world of possibilities. Today, as we stand on the brink of the cognitive era, I’m keen to share my insights on how Airport 4.0 is reshaping the future of air travel, making it not just a journey from A to B but an experience in its own right.

A new report on Future of Airports from Markets and Markets Foresighting team delves into what will be a future airport.

If AI can do parts of your job with greater efficiency and wisdom, how does that make you feel about your own self-worth?


The rise of AI will change how people consider their own self-worth and their ability to impact their communties for the better. Let’s see how this unfolds.

Altman estimates that he would need between $5 trillion and $7 trillion to overhaul the semiconductor industry, which is currently dominated by Nvidia, the leading provider of graphics processing units (GPUs) for AI applications. Nvidia’s market cap has soared to $1.72 trillion in 2023, surpassing many tech giants such as Amazon and Alphabet. Altman wants to challenge Nvidia’s monopoly and create more competition and innovation in the AI chip market.

White House’s $11 billion bet on US semiconductor

Meanwhile, The White House announced the US government’s plan to spend $11 billion on semiconductor-related research and development on Friday. This move comes in the wake of Congress approving the Chips and Science Act in August 2022, which provides $52.7 billion for semiconductor production and R&D. Of this, $39 billion is allocated for subsidies and $11 billion for R&D.