Trump teases final four contenders for Fed Chair and the big name he's already ruled out
And among the short list is not his current Treasury Secretary Scott Bessent.
'I love Scott, but he wants to stay where he is,' Trump said in a Tuesday morning interview on Squawk Box.
'I asked him just last night, 'Is this something you want?' 'Nope, I want to stay where I am.' He actually said, 'I want to work with you. It's such an honor,' Trump reenacted his conversation with the Bessent.
The president has been at war with Federal Reserve Chairman Powell, who has refused to bow to pressure to lower interest rates.
Trump joked with CNBC anchor Becky Quick that she and her co-hosts would be better than Powell.
'You guys are better than most of the people who do it for a living,' he said.
The president told CNBC that he has a list of four people he is considering to take Powell's place. His term ends in May 2026.
This includes former Federal Reserve Board of Governors Kevin Warsh and Council of Economic Advisors member Kevin Hassett.
Current Fed Governor Christopher Waller has also been floated as a potential future chairman.
'The two Kevins are doing well and I have two other people that are doing well,' Trump said on Tuesday during the call-in interview.
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Geeky Gadgets
10 minutes ago
- Geeky Gadgets
How Context Engineering Can Make Any AI 100x Smarter
What if the AI tools you rely on could become not just smarter, but exponentially more effective? Imagine an AI assistant that doesn't just follow instructions but intuitively understands your needs, pulling in the right data at the right time to deliver results that feel almost human. Bold claim? Perhaps. But the secret lies in a innovative approach called context engineering—a method that goes beyond traditional prompt engineering to create dynamic, context-rich environments where AI thrives. This isn't just a tweak; it's a paradigm shift that can make any AI system 100x more useful in your daily workflows. Rick Mulready explores how context engineering transforms AI from a tool that merely responds to commands into a proactive, personalized assistant. You'll discover how integrating dynamic data sources, APIs, and real-time feedback can elevate your AI's performance, whether it's crafting tailored customer emails, analyzing complex datasets, or automating tedious tasks. More than just a technical guide, this is your roadmap to unlocking the full potential of artificial intelligence—one that promises not just efficiency but genuine innovation. The possibilities are vast, and the key to unlocking them might be simpler than you think. Understanding Context Engineering What is Context Engineering? Context engineering involves creating workflows that provide AI systems with the right information at the right time. Unlike prompt engineering, which focuses on crafting specific instructions, context engineering integrates dynamic data sources, APIs, and knowledge bases into the AI's operational framework. This ensures that the AI can access and process relevant information, resulting in outputs that are more accurate, personalized, and actionable. For instance, consider an AI tasked with drafting customer emails. By integrating data from a CRM tool like HubSpot, the AI can access details about past interactions, customer preferences, and pain points. This dynamic approach enables the AI to produce tailored responses that go beyond generic templates, improving customer engagement and satisfaction. How Context Engineering Differs from Prompt Engineering While prompt engineering focuses on crafting precise instructions for an AI model, context engineering takes a broader and more holistic approach. It establishes an ecosystem where the AI operates, making sure that all necessary data and tools are readily available. Prompt engineering remains an essential component within this framework, as well-crafted prompts guide the AI within the context you establish. For example, if you're using an AI tool like MindPal to summarize reports, prompt engineering might involve asking the AI to 'summarize the key points of this document.' Context engineering, however, ensures the AI has access to related documents, historical data, and user preferences. This enables the AI to produce summaries that are not only concise but also nuanced and comprehensive, reflecting a deeper understanding of the task. How Context Engineering Transforms AI into Smarter Assistants Watch this video on YouTube. Learn more about Context Engineering with the help of our in-depth articles and helpful guides. Applications in Business Workflows Context engineering offers practical benefits across a wide range of business processes. By integrating AI with tools such as Google Sheets, Airtable, or N8N, you can automate workflows, enhance decision-making, and improve overall productivity. Here are some key applications: Customer Relationship Management (CRM): AI can analyze CRM data to craft personalized marketing campaigns, customer support responses, or sales strategies. AI can analyze CRM data to craft personalized marketing campaigns, customer support responses, or sales strategies. Data Analysis: By connecting to dynamic data sources like spreadsheets or databases, AI can provide real-time insights, trend analyses, and actionable recommendations. By connecting to dynamic data sources like spreadsheets or databases, AI can provide real-time insights, trend analyses, and actionable recommendations. Content Creation: AI tools can generate tailored content by accessing relevant knowledge bases, user feedback, and contextual data. For example, using you can create workflows where AI agents automatically update Google Docs with real-time data from Airtable or other sources. This streamlines collaboration, reduces manual effort, and ensures that team members always have access to the most up-to-date information. Balancing Context for Optimal Results Providing the right amount of context is critical for achieving optimal AI performance. Too much context can overwhelm the AI, increasing processing costs and leading to irrelevant or redundant outputs. Conversely, insufficient context results in generic and less effective responses. The REAL framework—Relevant, Efficient, Accessible, Logical—offers a practical guideline for striking the right balance: Relevant: Include only information directly related to the task at hand to avoid unnecessary complexity. Include only information directly related to the task at hand to avoid unnecessary complexity. Efficient: Ensure the context is concise and easy for the AI to process without overloading its capabilities. Ensure the context is concise and easy for the AI to process without overloading its capabilities. Accessible: Make data readily available through APIs, integrations, or structured workflows. Make data readily available through APIs, integrations, or structured workflows. Logical: Structure the context in a way that aligns with the AI's processing logic, making sure clarity and coherence. By adhering to these principles, you can ensure that your AI systems deliver precise, actionable, and meaningful results, regardless of the complexity of the task. Advanced Concepts in Context Engineering As workflows and business needs evolve, the context provided to AI systems must also adapt. This concept, known as context evolution, ensures that AI systems become smarter and more specific with each iteration. Learning systems play a pivotal role in this process, incorporating feedback to refine the context over time. For example, an AI feedback loop can analyze errors or inefficiencies in its outputs and adjust the context accordingly. This iterative process not only minimizes issues such as hallucinations or inaccuracies but also enhances the overall relevance and accuracy of the AI's outputs. Over time, this continuous refinement allows the AI to align more closely with your specific goals and requirements. Limitations of Context Engineering Despite its many advantages, context engineering is not without limitations. Issues such as hallucinations or factual inaccuracies can still occur, particularly if the underlying data is flawed or incomplete. Additionally, well-crafted prompts remain essential for guiding the AI within the context you provide. For instance, even with advanced tools like N8N or MindPal, ambiguous or poorly defined instructions can lead to misinterpretation. This highlights the importance of combining strong prompt engineering with robust context engineering to achieve reliable and effective results. A balanced approach ensures that the AI operates within a well-defined framework while maintaining the flexibility to adapt to dynamic inputs. Practical Tools for Context Engineering Several tools can help you implement context engineering effectively in your workflows. These include: Automates workflows by connecting AI systems to various apps and data sources, allowing seamless data integration. Automates workflows by connecting AI systems to various apps and data sources, allowing seamless data integration. MindPal: Enhances AI personalization by integrating dynamic knowledge bases and user-specific data. Enhances AI personalization by integrating dynamic knowledge bases and user-specific data. N8N: Assists workflow automation with customizable integrations, allowing for tailored solutions. Assists workflow automation with customizable integrations, allowing for tailored solutions. HubSpot: Provides CRM data for personalized customer interactions and marketing strategies. Provides CRM data for personalized customer interactions and marketing strategies. Airtable: Serves as a dynamic database for real-time AI updates and collaborative data management. Serves as a dynamic database for real-time AI updates and collaborative data management. Google Docs: Enables collaborative content creation with AI-generated inputs, streamlining team workflows. By using these tools, you can build a robust context engineering framework that enhances the capabilities of your AI systems, making sure they deliver high-quality, actionable outputs. Why Context Engineering Matters Incorporating context engineering into your AI workflows is essential for unlocking the full potential of artificial intelligence. By providing dynamic, relevant, and efficient context, you can improve the quality, personalization, and reliability of AI outputs. This approach not only enhances productivity but also gives your business a competitive edge in an increasingly AI-driven world. Whether you're automating routine tasks, analyzing complex data, or crafting personalized customer experiences, context engineering ensures that your AI tools deliver meaningful and impactful results. By adopting the right strategies and tools, you can transform your workflows and fully harness the power of artificial intelligence to drive innovation and success. Media Credit: Rick Mulready 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 Independent
10 minutes ago
- The Independent
Beautician and dentist in 1.8m inheritance battle after both married same man in Las Vegas
A beautician and a dentist are locked in an inheritance battle over a dead accountant's £1.8m fortune after he married both of them in Las Vegas five years apart - but failed to get a divorce from his first bride. Wealthy accountant James Dinsdale died of cancer, aged 55, in October 2020, leaving a £1.8million estate to be fought over by the two women who called themselves his wives. After his death, his most recent partner, beautician Margaret Dinsdale, 41, began sorting out his affairs on the assumption that she would inherit his fortune as his next of kin. But she was left reeling when she discovered James was still legally married to his first wife when he whisked her off for a Las Vegas wedding in 2017 - making their marriage "void" and leaving her with no automatic right to inherit. Just five years earlier, James had married cosmetic dentist, Victoria Fowell, 53, at a Vegas wedding chapel on the same street and only 600 metres from where he wed Margaret, but never got round to divorcing her - making her James' heir alongside his adult son under intestacy laws. However, the two women are now locked in a High Court clash after Margaret launched a claim to a share of James' money on the basis she should be treated as a "spouse" because she married him in "good faith." In a short preliminary hearing, High Court judge Master James Brightwell heard accountant and Second World War history expert James Dinsdale built a thriving property development business, based around central London, before he died and left an estate now valued at around £1.8m. He wed Dr Victoria Fowell - a St Albans-based dentist with an expertise in 'cosmetic smile makeovers' - in 2012, but the pair never got divorced and he went on to marry Margaret Dinsdale in 2017. Margaret's barrister Jonathan Davey KC said his client and James had met in 2008 and become friends, before beginning a 'romantic relationship' in 2014, setting up home together the following year. However, she had no idea whatsoever that he was still married, only learning of it after his death. And because he had not made a will, James' money would be divided between Dr Fowell and his son, William Dinsdale, 28, under intestacy rules. 'Margaret believed that she was validly married to James Dinsdale and there is no evidence that she knew that the deceased was married to Dr Fowell as at 2017," he said. 'She understood the marriage between the deceased and Dr Fowell to have ended some time prior to the relationship between the deceased and the claimant beginning. "We have no idea what James' state of mind was, perhaps he didn't realise he wasn't divorced. "Margaret's assertion is that she believed the deceased to be unmarried and already divorced when she married him in good faith." Touching on their 2017 wedding in Las Vegas, he noted: 'The ceremony which took place between James and my client took place in almost the same location, and appears to have been of the same nature, as the earlier ceremony which took place between the deceased and Victoria Fowell in June 2012. 'The marriage ceremony between him and Dr Fowell took place in the Little White Wedding Chapel, Las Vegas Boulevard. The marriage ceremony between James and Margaret took place in the Chapel of the Flowers, Las Vegas Boulevard. 'But for the deceased's prior marriage to Dr Fowell, the latter ceremony would have been a valid marriage ceremony." The case reached court for a preliminary hearing after Margaret made a claim for "reasonable provision" from James' estate under the 1975 Inheritance Act, amounting to at least half of his £1.8m. The case is being brought against Dr Fowell and James' adult son William, who are currently due to share his fortune as his next of kin under intestacy rules. Mr Davey said Margaret had looked after James "24 hours per day" during his final struggles with terminal cancer and was his "primary carer." 'The evidence of his close friends is that James and Margaret had a loving relationship, and that he was very grateful for her care," he told the judge. He said the couple had been together for six years and planned to have children, with Margaret giving up work and becoming a housewife while he provided for her. "She and James had a relatively lavish lifestyle, which was funded by his wealth and she was entirely financially dependent on the deceased," he said. 'Dr Fowell and William Dinsdale were not being financially maintained by the deceased at the time of his death." There was no evidence of 'financial need' on the part of Dr Fowell, claimed Mr Davey, highlighting claims by Margaret that James once told her he had transferred to her a property and a £2million lump sum after their relationship ended. The court heard it is alleged that Margaret has already received £375,000 "from the estate or in sums derived from James," but Mr Davey said that is denied and that she has only received £20,000 from his pension. After a brief court hearing in which he was told it was "not disputed" that Margaret should be considered a "spouse" under the 1975 Act, Master Brightwell made a declaration to that effect for the purposes of her claim against the estate. He directed that there should now be a future hearing focusing on how James' estate should be divided up between his two wives and son. Under the Inheritance Act, payouts to those treated as a spouse or civil partner are higher than to unmarried partners of a deceased person. The judge also allocated cash-strapped Margaret £50,000 from the estate to help cover her bills and contribute towards hefty lawyers' bills as the case progresses - with the projected costs on her side estimated at around £175,000.
Reuters
11 minutes ago
- Reuters
Cambodia and Thailand agree to ASEAN observers to ensure ceasefire holds
KUALA LUMPUR, Aug 7 (Reuters) - Cambodia and Thailand's top defence officials agreed on Thursday to allow observers from the ASEAN regional bloc to inspect disputed border areas and help ensure hostilities do not resume following a violent five-day conflict that ended in a ceasefire late in July. The Southeast Asian neighbours saw the in over a decade last month, including exchanges of artillery fire and jet fighter bombing runs that claimed at least 43 lives and displaced more than 300,000 people on both sides of the border. Fighting continued despite diplomatic interventions from China and Malaysia, chair of the regional bloc ASEAN, both calling for restraint. The leaders of Cambodia and Thailand only came to the negotiating table when U.S. President Donald Trump told them that tariff negotiations would not continue unless there was peace, Reuters exclusively reported. Cambodian Defence Minister Tea Seiha and Thailand's acting defence minister Nattaphon Narkphanit met at Malaysia's Armed Forces headquarters in Kuala Lumpur on Thursday to thrash out the terms of a permanent cessation of hostilities. "There will be an observation team of ASEAN military attaches based in Thailand and Cambodia, led by Malaysia," Nattaphon told reporters at a press conference after the meeting, adding that foreign inspectors based in either country would not cross the border. "Thailand and Cambodia are neighbours with a shared border that can move away from each other ... a resolution will allow our people to return to peaceful lives," he said. Thailand and Cambodia said in a joint statement that they would hold more talks in two weeks and then again in a month. The peace conditions were formulated during three days of talks between senior officials in Kuala Lumpur and were finalised on the fourth day in the presence of observers from China and the United States. "Both sides agreed on the terms of implementation of the ceasefire and improving communication between the two armies," Cambodian Prime Minister Hun Manet said on social media. Thailand and Cambodia have quarrelled for decades over undemarcated parts of their 817 km (508 miles) land border, which was first mapped by France in 1907 when the latter was its colony.
