
Trump news at a glance: markets react with confusion as Trump appears to move goal posts on tariffs again
The US is close to finalising several trade agreements in the coming days and will notify other countries of higher tariff rates by Thursday, the president said on Sunday, with the higher rates to take effect on 1 August.
'President Trump's going to be sending letters to some of our trading partners saying that if you don't move things along, then on August 1 you will boomerang back to your April 2 tariff level,' treasury secretary Scott Bessent told CNN.
Trump in April announced a 10% base tariff rate on most countries and higher 'reciprocal' rates ranging up to 50%. However, Trump also said levies could range in value from 'maybe 60% or 70% tariffs to 10% and 20%', further clouding the picture.
With very few actual trade deals done, analysts had suspected the date would be pushed out, though it was still not clear if the new deadline applied to all trading partners or just some.
Trump said on Sunday that his administration plans to start sending letters on Monday to US trade partners, dictating new tariff rates to be imposed on goods they sell to Americans. 'It could be 12, maybe 15,' the president told reporters, 'and we've made deals also, so we're going to have a combination of letters and some deals have been made.'
Kevin Hassett, who heads the White House National Economic Council, told CBS that there might be wriggle room for countries engaged in earnest negotiations. 'There are deadlines, and there are things that are close, and so maybe things will push back past the deadline,' Hassett said, adding that Trump would decide if that could happen.
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Donald Trump called Elon Musk's decision to start and bankroll a new US political party 'ridiculous' on Sunday. 'Third parties have never worked, so he can have fun with it but I think it's ridiculous,' the president told reporters traveling with him back to the White House from his New Jersey golf club.
He then elaborated, at great length, in a post on his social media platform, Truth Social. 'I am saddened to watch Elon Musk go completely 'off the rails,' essentially becoming a TRAIN WRECK over the past five weeks,' the president wrote.
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Trump said he believed a hostage release and ceasefire deal could be reached this week, which could lead to the release of 'quite a few hostages.'
He was speaking after Benjamin Netanyahu left Israel for talks in Washington, praising Trump's return to the presidency.
'We have never had such a friend in the White House … We have already changed the face of the Middle East beyond recognition, and we have an opportunity and the ability to change it further and to enable a great future for the state of Israel, the people of Israel and the entire Middle East,' Israel's prime minister told reporters.
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Laura Loomer has emerged as the most prominent Maga America First influencer in the early days of Trump's second term.
In early April, Loomer, a 32-year-old pro-Trump online influencer widely seen as a rightwing conspiracy theorist, met with Trump and gave him a list of names of people on the staff of the national security council that she believed were not loyal enough to Trump or at least had professional backgrounds that she considered suspect. Trump fired six staffers.
Later, national security adviser Mike Waltz, whom Loomer had criticized for his role in the Signalgate chat leak scandal, was ousted as well.
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Donald Trump announced on social media that he had signed a federal emergency declaration that would free additional resources to support local efforts in search and rescue operations in Texas after deadly flooding. Trump also posted a letter saying federal efforts would be coordinated by Benjamin Abbott of the Federal Emergency Management Agency (Fema). In May, that agency's acting administrator was fired after he told Congress he did not believe it was 'in the best interest of the American people to eliminate' Fema, which Trump has said he plans to do.
Asked on Sunday if he is still planning to phase out Fema, Trump told a reporter: 'Well, Fema is something we can talk about later, but right now they're busy working.'
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David Smith asks if Trump's expansion of presidential powers is setting the stage for future Oval Office holders?
Adam Gabbatt writes that although Trump's mega-bill has been widely criticized in the press, Fox News sees it differently.
Catching up? Here's what happened 5 July.
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Reuters
an hour ago
- Reuters
Swedish inflation picks up in June, puts more rate cuts in doubt
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Geeky Gadgets
an hour ago
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Claude AI Given 1000 to Start a Business (No Humans Needed)
What if a machine could launch and run a business entirely on its own? No human oversight, no manual corrections—just an artificial intelligence handed $1,000 and tasked with building something profitable. It sounds like a plot from a sci-fi movie, but this is exactly what happened when Claude AI, an advanced AI model, was given the reins to manage a vending machine business. From selecting inventory to setting prices and responding to customers, Claude was in charge of every decision. The results? A fascinating mix of bold innovation and glaring missteps, raising a critical question: how close are we to a future where AI can truly replace human entrepreneurs? Wes Roth provides more insights into the highs and lows of Claude's entrepreneurial experiment, offering a glimpse into the potential—and pitfalls—of autonomous AI in business. You'll discover how Claude excelled at tasks like tailoring inventory to customer preferences and resisting external manipulation, yet faltered in areas like financial management and long-term strategy. By unpacking these successes and failures, we'll explore what this experiment reveals about the current state of AI and its readiness to tackle the complexities of real-world commerce. As you read, consider this: is the promise of AI-driven businesses worth the risks, or are we still a long way from handing over the keys? AI-Driven Business Experiment Strengths of Claude AI in Business Operations The experiment highlighted several notable strengths of Claude AI, showcasing its potential as a tool for business management: Supplier Identification and Inventory Stocking: Claude demonstrated an ability to identify suppliers and stock the vending machine with products tailored to customer preferences. This adaptability to consumer demand underscored its potential to streamline supply chain management and optimize inventory. Claude demonstrated an ability to identify suppliers and stock the vending machine with products tailored to customer preferences. This adaptability to consumer demand underscored its potential to streamline supply chain management and optimize inventory. Strategic Adaptability: The AI adjusted its business strategies based on customer feedback, introducing creative initiatives such as specialty product categories and concierge services. These actions highlighted its capacity for strategic thinking and responsiveness to market needs. The AI adjusted its business strategies based on customer feedback, introducing creative initiatives such as specialty product categories and concierge services. These actions highlighted its capacity for strategic thinking and responsiveness to market needs. Operational Integrity: Unlike many AI systems that can be manipulated or 'jailbroken,' Claude maintained its programmed objectives and resisted external attempts to alter its behavior. This resilience is a critical factor in building trust in autonomous systems. These strengths suggest that AI could play a significant role in areas requiring adaptability, creativity, and responsiveness, particularly in dynamic business environments. Limitations and Failures Despite its promising capabilities, Claude AI encountered several challenges that exposed its current limitations: Hallucination of Details: On multiple occasions, Claude fabricated information, such as creating fake accounts or inventing conversations. These inaccuracies undermined its reliability and raised concerns about its decision-making processes. On multiple occasions, Claude fabricated information, such as creating fake accounts or inventing conversations. These inaccuracies undermined its reliability and raised concerns about its decision-making processes. Poor Financial Management: The AI frequently priced items below cost and, in some instances, gave away products for free. This lack of financial discipline revealed a critical flaw in its ability to prioritize profitability and sustain long-term operations. The AI frequently priced items below cost and, in some instances, gave away products for free. This lack of financial discipline revealed a critical flaw in its ability to prioritize profitability and sustain long-term operations. Inconsistent Long-Term Performance: Claude struggled with tasks requiring long-term memory and context retention. Its tendency to prioritize customer satisfaction often came at the expense of the business's financial health, highlighting a gap in its ability to balance competing priorities. These shortcomings emphasize the need for further refinement of AI systems before they can be entrusted with fully autonomous business operations. Claude AI Given $1,000 to Start a Business Watch this video on YouTube. Below are more guides on AI Business from our extensive range of articles. Key Insights from the Experiment The experiment with Claude AI provided valuable insights into the current state of AI in business management, offering lessons for future development: Potential for Innovation: Claude's ability to adapt and innovate demonstrated that AI could contribute meaningfully to business operations, particularly in areas requiring creativity and responsiveness to customer needs. Claude's ability to adapt and innovate demonstrated that AI could contribute meaningfully to business operations, particularly in areas requiring creativity and responsiveness to customer needs. Reliability Challenges: The AI's tendency to hallucinate and its poor financial decision-making highlighted the importance of implementing robust safeguards and refining its decision-making algorithms. The AI's tendency to hallucinate and its poor financial decision-making highlighted the importance of implementing robust safeguards and refining its decision-making algorithms. Context Retention Issues: The experiment revealed significant challenges in long-term memory and continuity, limiting the AI's ability to handle complex, ongoing tasks effectively. Addressing these issues will require developers to focus on improving the reliability, financial acumen, and contextual understanding of AI systems to ensure their effectiveness in real-world applications. Future Implications of AI in Business As AI technology continues to evolve, its role in business management is expected to expand significantly. 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Ethical Considerations: Balancing AI efficiency with human employment and making sure ethical design will be critical to minimizing societal disruptions and fostering trust in AI systems. While the potential benefits of AI in business are substantial, these advancements must be approached with caution. Making sure that AI systems align with ethical and practical considerations will be essential to their successful integration into society. Reflections on Claude AI's Experiment The experiment with Claude AI underscores both the promise and the limitations of using AI for autonomous business management. On one hand, the AI demonstrated adaptability, creativity, and resistance to manipulation—qualities that could make it a valuable asset in certain business contexts. On the other hand, its shortcomings in decision-making, financial management, and long-term task execution reveal the need for significant advancements in AI development. For AI to succeed in autonomous business roles, developers must prioritize improvements in training, fine-tuning, and ethical design. Enhancing reliability, profitability, and context retention will be critical to addressing the current gaps in AI capabilities. As AI continues to advance, its role in business operations will undoubtedly expand. However, achieving a balance between innovation and practicality will be key to unlocking its full potential while mitigating risks. The experiment with Claude serves as a reminder of the challenges that lie ahead and the importance of thoughtful, deliberate progress in the field of AI-driven business solutions. Media Credit: Wes Roth Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.


The Guardian
2 hours ago
- The Guardian
Donald Trump threatens extra 10% tariff for ‘anti-American' Brics policies, as trade war deadline approaches
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