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Yahoo
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Bangladesh orders 25 Boeing planes as part of push to ease US tariffs
DHAKA (Reuters) -Bangladesh has ordered 25 aircraft from Boeing (BA) and ramped up imports of key American goods in an effort to defuse trade tensions and bring down the steep tariffs imposed by the Trump administration, a senior official said on Sunday. The moves are part of a broader strategy to narrow a $6 billion U.S. trade deficit with Bangladesh and avoid a looming 35% tariff hike that has rattled the country's export sector, especially the garments industry which risks losing competitiveness in one of its largest markets. For rolling updates on tariffs, check out our liveblog > "We need new aircraft urgently, possibly within the next couple of years," Commerce Secretary Mahbubur Rahman told reporters. "Initially, it was 14 planes — now it's 25," he said, referring to an earlier plan to purchase aircraft from the U.S.-based manufacturer. Alongside the aircraft deal, Bangladesh is boosting imports of wheat, soybean oil and cotton from the United States. A new agreement signed earlier this month will see the country import 700,000 tonnes of U.S. wheat annually over the next five years. Officials hope that these steps will help improve trade relations with Washington and soften the impact of the Trump administration's tariff measures. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
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China proposes global cooperation body on AI
SHANGHAI, July 27, 2025 /PRNewswire/ -- A news report from The Chinese government has proposed the establishment of a world AI cooperation organization as part of its efforts to bolster open, inclusive and equitable artificial intelligence development and governance globally. Premier Li Qiang announced the initiative when addressing the opening ceremony of the 2025 World AI Conference and High-Level Meeting on Global AI Governance in Shanghai. Li emphasized the need for collaborative approaches to global AI governance to ensure that intelligent technologies are developed for the good of all. More than 1,000 high-level representatives from upwards of 40 countries and international organizations attended the opening ceremony of the three-day event, themed "Global Solidarity in the AI Era". Li said that the risks and challenges brought by AI development, such as machine hallucinations, deep fakes and AI proliferation, have aroused widespread attention. There is an urgent need to further consolidate a societal consensus on how to achieve a balance between development and security in the AI sector, he said. Li said greater emphasis should be placed on collective governance to ensure that AI ultimately benefits humanity. Given that global AI governance appears fragmented, it is essential to enhance coordination and alignment among countries around the world to establish a framework and rules for global AI governance with a broad consensus, he added. Noting that China places great importance on global AI governance and actively participates in promoting multilateral and bilateral cooperation in this regard, the premier said the nation is willing to offer more Chinese solutions to the international community and contribute more Chinese wisdom to global AI governance. In 2023, China proposed the Global AI Governance Initiative to promote an open, inclusive and fair approach to the development and governance of AI technologies. Last year, China proposed the AI Capacity-Building Action Plan for Good and for All to bridge the AI and digital divides, and to ensure the Global South benefits equitably from AI development. China actively promotes open source development, and is willing to collaborate with countries around the world to promote progress in software and hardware technologies, intensify open source initiatives, and collectively propel AI development to higher levels, Li said. Also on July 26, the conference adopted the Global AI Governance Action Plan, which calls on all parties to work in solidarity to advance AI development and governance. For more information: View original content to download multimedia: SOURCE Sign in to access your portfolio
Forbes
22 minutes ago
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AI Alone Won't Save You: Solve A Real Problem First
Digital generated image of abstract AI data chat icons flying over digital surface with codes We're living in the age of copy-paste intelligence. You can spin up an AI-powered landing page in 15 minutes, plug in a few GPT calls, and it'll even write its own press release. The tools are impressive. But most of what gets built doesn't stick. The real issue isn't a lack of AI, it's a lack of purpose. Many products skip the part where they answer: Why does this need to exist? Too many products today are beautifully packaged but hollow. A glossy AI wrapper with no meaningful problem underneath. Founders get caught up in the novelty and forget to ask the most important question: What are we really solving? Great products start at the breaking points. Where something is frustrating, slow, tedious, or emotionally draining. That's where the value is. AI should quietly support that, not be the entire pitch. Start With Problem, Not the Solution A lot of AI products today start with the technology. The model comes first. Then comes the scramble for a use case. That's backwards. The best ideas start with a real-world problem. Something that's annoying, inefficient, or consistently painful. That's where AI can make a real difference. Take something as specific (and surprisingly frustrating) as naming a company. It sounds simple, until you try. Founders spend hours searching for something that feels right - a name that fits the story, the tone, the ambition. But they often settle for whatever's available. Keyword-based search tools don't help much in finding great domain names. You enter a word, get back a bunch of literal matches. Some might be close. Most aren't. But that's not how people think. They search in feelings. In phrases. 'Something calming but confident.' 'A name that sounds smart but not cold.' That's not a search problem. It's a language problem. We built semantic search at not to showcase AI, but to bridge the gap between how people describe what they want and how results are typically delivered. One founder, for example, was building a modern parenting brand. She didn't search for 'baby' or 'mom.' She searched for something that felt timeless and trustworthy, something that could evolve with the brand. The name she picked wasn't obvious. But it clicked. Because it captured the feeling, not just the words. That's what AI should do. Not call attention to itself, but quietly help people get to a better answer. The Real Difference Is in the Decisions Everyone has access to the same tools. The same models, APIs, tutorials. That's not where the edge is. What really separates strong products from forgettable ones is the thinking behind them. The decisions about what to build, and what to leave out. It takes restraint to focus on solving one specific thing well. It takes clarity to ignore the hype and focus on something that's actually useful. The best builders aren't showing off the technology. They're paying attention to the person on the other side. The Best AI Products Don't Talk About AI Think about the tools you rely on every day. Notion. Figma. Superhuman. They all use AI but none of them lead with it. They just work better. Quietly. That's what progress looks like. You don't remember the tech. You remember how much smoother things felt. One of the clearest examples of this approach is Dharmesh Shah, co-founder of HubSpot. He's quietly building a suite of AI-powered tools that actually help you get work done. Agents that research companies, summarize complex inputs, and yes, even help find domain names. Not as a gimmick. But because those are tasks people genuinely want to spend less time on. It's not about being flashy. It's about being helpful. Better Questions to Ask If AI can make that feel lighter, faster, or simpler, you're onto something. If you're starting with 'what can we build with GPT-4,' you're probably building a demo, not a product. Final Thought: Solve Like a Human, Then Scale Like a Machine The companies that will stand out in this next wave won't be the ones shouting about AI. They'll be the ones quietly removing friction. Making things easier. Helping people move faster with less frustration. That's the work that lasts. Start with pain. Then let the AI fade into the background.
