Former President Donald Trump, 78, faced an embarrassing moment during a rally in Minnesota when he experienced a noticeable wobble at the podium, prompting his opponents to label him as “feeble.” The incident occurred on Friday while Trump was delivering a speech to a large crowd at the Minnesota Republican Party’s annual Lincoln-Reagan Dinner in St. Paul.

Video footage captured the moment when Trump stumbled forward and had to grip the lectern to steady himself. In an attempt to play off the incident, he quipped, “The fricking place is falling down,” eliciting laughter from the audience. He further joked, “I notice it keeps tilting to the left, like too many other things,” and added, “What a crappy contractor this was,” causing an uproar of laughter once again.

However, Trump’s opponents were quick to seize on the moment as evidence of his physical weakness. A post on X from Biden-Harris HQ read, “A feeble Trump nearly falls down on stage after he leans on his podium too hard and then goes on an angry rant, calling his event workers ‘crappy.'”

The ages and abilities of both Biden, 81, and Trump have been a topic of discussion throughout the election cycle, with each candidate facing scrutiny for embarrassing gaffes that their respective teams have attributed to senility. A recent poll revealed that 60 percent of Americans do not believe either Trump or Biden possesses the mental capacity to serve as president.

Despite the incident, thousands of supporters turned out to hear Trump speak at the event. During his speech, the former president reiterated his unfounded claim that the 2020 presidential election, which he lost to Joe Biden, was marred by widespread fraud. “I know we won (Minnesota) in 2020,” Trump said to applause, adding, “We’ve got to be careful. We’ve got to watch those votes.”

Trump campaign officials have publicly and privately insisted that Trump can beat Biden in Minnesota in their upcoming November 5 rematch. However, available polling data and the state’s political history suggest that the former president faces an uphill battle. Major independent polls consistently show Biden holding a slim lead of 2 to 4 percentage points in Minnesota.

While Minnesota’s rural areas have shifted towards Republicans over the last decade, suburban areas around Minneapolis have moved towards Democrats, mirroring broader nationwide trends. A Trump campaign official declined to comment directly on whether they planned to allocate resources to the state.

During his speech, Trump also reiterated his calls for a “massive deportation” of immigrants living in the country illegally and doubled down on promises to construct a new missile defense system, comparing it to Israel’s “Iron Dome” program.

Outside the dinner venue, scores of pro-Palestine protesters and demonstrators carrying signs reading “Remove Trump” could be seen, highlighting the divisive nature of the former president’s candidacy.

As the 2024 presidential race heats up, the physical and mental fitness of both candidates will likely remain a topic of intense scrutiny and debate, with incidents like Trump’s wobble at the Minnesota rally providing fodder for his opponents and raising questions about his suitability for office.

Professor Geoffrey Hinton, the pioneering computer scientist known as the “godfather of artificial intelligence,” has expressed grave concerns about the potential impact of AI on employment and inequality. In an interview with BBC Newsnight, Hinton advocated for the implementation of a universal basic income (UBI) to mitigate the effects of AI-induced job losses.

Hinton, who until recently worked at Google, believes that while AI will undoubtedly increase productivity and wealth, the benefits will disproportionately accrue to the wealthy, leaving those who lose their jobs in a precarious position. “I was consulted by people in Downing Street, and I advised them that universal basic income was a good idea,” he revealed.

The concept of UBI involves the government providing a fixed amount of money to every citizen, regardless of their means. However, critics argue that such a program would be prohibitively expensive and could divert funding away from essential public services without necessarily alleviating poverty. The UK government has stated that there are currently no plans to introduce a UBI.

Hinton’s concerns extend beyond the economic ramifications of AI. He reiterated his belief that AI poses existential threats to humanity, warning that within the next 5 to 20 years, there is a 50% chance that we will have to confront the problem of AI trying to take over. This could lead to an “extinction-level threat” for humans, as AI could potentially evolve to become more intelligent than biological intelligence and develop the motivation to replicate itself and gain control.

The rapid development of AI, coupled with the unwillingness of governments to regulate its military applications, has left Hinton deeply worried. He cited recent examples of AI being used to generate thousands of military targets as the “thin end of the wedge,” expressing particular concern about the prospect of AI autonomously making decisions to kill people.

Hinton suggested that an international agreement, similar to the Geneva Conventions, may be necessary to regulate the military use of AI. However, he cautioned that such a treaty is unlikely to materialize until “very nasty things have happened.”

When asked if the West is engaged in a Manhattan Project-style race with autocracies like Russia and China to develop military AI, Hinton acknowledged that both countries are likely working hard on the technology. While the West is probably still slightly ahead in research, China is investing significant resources to catch up. Hinton emphasized that a prohibition on the military use of AI would be the best solution to this escalating arms race.

As AI continues to advance at an unprecedented pace, the warnings from one of its most influential pioneers serve as a stark reminder of the potential risks and challenges that lie ahead. Policymakers and tech companies alike will need to grapple with the economic, social, and existential implications of AI to ensure that its benefits are shared equitably and its dangers are mitigated.

Credit: BBC