logo
Musk funneled $15 million to Trump and Republicans even as they were dragging each other through the mud in online feud

Musk funneled $15 million to Trump and Republicans even as they were dragging each other through the mud in online feud

Independent3 days ago
Even as President Donald Trump and Elon Musk escalated their bitter feud, the Tesla billionaire funneled $15 million to Republican-affiliated political action committees, according to a new report from Politico.
Federal Election Commission reports show that Musk donated $5 million to the MAGA Inc., a Trump-affiliated super PAC, a type of PAC wherein donors can give unlimited amounts of money as long as it does not officially coordinate with a campaign.
Musk also contributed $5 million apiece to the Senate Leadership Fund and the Congressional Leadership Fund, super PACs affiliated by Senate and House Republican leadership, respectively.
The SpaceX CEO, who also purchased Twitter and renamed it X, made the contributions on June 27, 2025, which came after Musk left the White House, where he led the Department of Government Efficiency.
Initially, the two seemed to part on amicable terms. Musk spent hundreds of millions of dollars through multiple super PACs to elect Trump in the 2024 presidential election. He billed himself as the 'first buddy.'
But upon his exit Musk would later go nuclear, and called Trump's 'One Big, Beautiful Bill' an ' outrageous, pork-filled ' bill. Musk would then drop an even bigger bomb, when he said 'is in the Epstein files. That is the real reason they have not been made public. Have a nice day, DJT!'
Musk would apologize, saying he ' went too far.' Two weeks later, Musk would cut his checks to the three PACs.
That did not stop Musk from continuing his attacks on the GOP. On June 30, a few days after Musk cut his checks, he threatened that any Republican who voted for the bill 'will lose their primary next year if it is the last thing I do on this Earth.'
Every campaign committee, super PAC and political action commission has to file reports with the FEC to disclose how much money they raised. The three super PACs released their mid-year reports last month. It is not clear if Musk made any other contributions to other Republican PACs.
Musk proposed creating a third political party in the United States with his 'America Party,' saying 'the America Party is formed to give you back your freedom.'
But so far, the America Party has failed to get off the ground and Musk has not yet filed paperwork to create it.
Trump's election was not the only election Musk inserted himself into. He poured millions into Wisconsin's supreme court race earlier this year, wherein he cut $1 million checks to voters the weekend before the election. In the end, liberal candidate Susan Crawford would win the race overwhelmingly.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

How Deep Agents Are Redefining Complex Problem-Solving in AI
How Deep Agents Are Redefining Complex Problem-Solving in AI

Geeky Gadgets

time26 minutes ago

  • Geeky Gadgets

How Deep Agents Are Redefining Complex Problem-Solving in AI

What if you could build an AI system capable of not just completing simple tasks but orchestrating complex, multi-step operations with the finesse of a seasoned strategist? Enter the world of AI deep agents, a new evolution in artificial intelligence that combines adaptability, precision, and long-term planning. Imagine an agent that can dynamically adjust to shifting circumstances, delegate tasks to specialized sub-agents, and manage intricate workflows—all while learning and improving from feedback. This isn't science fiction; it's a fantastic leap in AI technology, powered by the robust Langraph framework. Whether you're an AI enthusiast or a seasoned developer, the potential here is staggering: deep agents promise to redefine how we approach complex problem-solving. In this hands-on breakdown, the LangChain team guide you through the essential components and strategies for implementing AI deep agents effectively. From understanding their modular architecture and virtual file systems to exploring tools like dynamic state management and sub-agent delegation, you'll uncover how these systems operate with remarkable efficiency. But this isn't just about tools—it's about unlocking the ability to design agents that think, adapt, and execute with precision. Along the way, you'll discover how LangChain's framework enables you to customize and scale these agents for your unique needs. Ready to explore the mechanics of this innovative technology? Understanding AI Deep Agents What Are AI Deep Agents? AI deep agents are designed to address complex problems by planning and executing tasks over extended periods. They operate within the Langraph framework, which structures agents as graphs to optimize decision-making processes. At the heart of their functionality lies an iterative loop: the agent selects actions, executes them, and processes feedback to refine its strategy. This continuous cycle of action and adjustment ensures adaptability and efficiency, making deep agents particularly well-suited for tackling multifaceted objectives. These agents are not limited to static operations. Instead, they dynamically adapt to changing circumstances, using their ability to process feedback and adjust their approach. This adaptability is a defining characteristic, allowing them to handle tasks that require both precision and flexibility. Key Components of Deep Agents Understanding the core components of deep agents is essential to appreciate their functionality and potential. Each component plays a critical role in making sure the agent's adaptability and effectiveness. State Management: Deep agents dynamically track context, maintaining detailed records of messages, task progress, and a virtual file system. This ensures continuity and adaptability as tasks evolve, allowing the agent to respond effectively to changing requirements. Deep agents dynamically track context, maintaining detailed records of messages, task progress, and a virtual file system. This ensures continuity and adaptability as tasks evolve, allowing the agent to respond effectively to changing requirements. Planning Tool: A built-in to-do list organizes tasks into categories such as pending, in-progress, or completed. This structured approach enables agents to update and manage tasks efficiently, making sure no step is overlooked. A built-in to-do list organizes tasks into categories such as pending, in-progress, or completed. This structured approach enables agents to update and manage tasks efficiently, making sure no step is overlooked. Virtual File System: Simulated as a dictionary, the virtual file system supports scalability and parallel processing. It includes tools for reading, writing, editing, and listing files, allowing seamless task execution and efficient data management. These components work in harmony to provide a robust foundation for deep agents, making sure they can handle even the most demanding tasks with precision and efficiency. Implementing AI Deep Agents a Technical Walkthrough Watch this video on YouTube. Master AI Deep Agents with the help of our in-depth articles and helpful guides. Built-in Tools for Streamlined Operations Deep agents are equipped with a suite of built-in tools that simplify task management and execution. These tools are designed to enhance the agent's functionality and ensure smooth operations. Write To-Dos: This tool updates and monitors the task list, making sure progress is tracked effectively and tasks are completed in a timely manner. This tool updates and monitors the task list, making sure progress is tracked effectively and tasks are completed in a timely manner. File System Tools: A comprehensive set of tools for managing the virtual file system, including: ls: Lists files in the virtual file system, providing an overview of available resources. read file: Reads file content with options for line offsets and limits, allowing precise data access. write file: Writes content to a file, making sure important data is stored securely. edit file: Performs string replacements within files, allowing for efficient content updates. A comprehensive set of tools for managing the virtual file system, including: These tools are integral to the operation of deep agents, providing the functionality needed to manage tasks and data effectively. Sub-Agent Architecture: Enhancing Scalability One of the most innovative features of deep agents is their sub-agent architecture. Sub-agents are specialized entities assigned to specific tasks, each equipped with tailored tools and instructions. Defined by their name, description, prompt, and accessible tools, sub-agents operate under the supervision of the main agent. The main agent delegates tasks to sub-agents and consolidates their results, making sure a cohesive workflow. This modular design enhances scalability, allowing for task specialization and efficient resource allocation. By using sub-agents, deep agents can tackle complex projects that require a high degree of coordination and expertise. Customizing Deep Agents Deep agents offer extensive customization options, allowing you to tailor their functionality to meet specific needs. You can define custom tools, instructions, models, and sub-agents to enhance their capabilities. For instance, the default Claude model is particularly effective for tasks requiring extensive output. However, you can also create custom tools, such as a specialized search function, and integrate them seamlessly with the agent. This flexibility allows you to adapt the agent to a wide range of applications, from managing intricate workflows to developing bespoke solutions. Design Considerations for Implementation When implementing deep agents, several design factors should be carefully considered to ensure optimal performance and functionality. Conflict Resolution: While basic mechanisms handle parallel file updates, more advanced strategies may be required for comprehensive conflict management, particularly in scenarios involving multiple sub-agents. While basic mechanisms handle parallel file updates, more advanced strategies may be required for comprehensive conflict management, particularly in scenarios involving multiple sub-agents. Stateless Sub-Agents: Sub-agents do not retain state, focusing solely on the tasks assigned to them. This simplifies their operation but requires careful task delegation to ensure efficiency. Sub-agents do not retain state, focusing solely on the tasks assigned to them. This simplifies their operation but requires careful task delegation to ensure efficiency. Detailed Prompts: Clear and precise prompts are essential for guiding agent behavior. Well-defined instructions ensure tasks are executed as intended, minimizing errors and maximizing efficiency. By addressing these considerations, you can ensure that your deep agents are well-equipped to handle the challenges they encounter. How to Implement Deep Agents The implementation process involves several key steps, including creating agents, managing states, defining tools, and integrating sub-agents. Modularity is a central feature of deep agents, allowing you to extend and refine their capabilities over time. To implement deep agents effectively, it is essential to adopt a structured approach. Begin by defining the agent's objectives and identifying the tools and sub-agents required to achieve them. Next, configure the agent's state management and planning tools to ensure seamless operation. Finally, test and refine the agent's functionality to address any potential issues and optimize performance. By following these steps, you can use deep agents to tackle complex, multi-step challenges with confidence and precision. Media Credit: LangChain Filed Under: AI, Technology 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.

Tesla Won't Like New Sales Figures in Challenging European Countries
Tesla Won't Like New Sales Figures in Challenging European Countries

Auto Blog

time26 minutes ago

  • Auto Blog

Tesla Won't Like New Sales Figures in Challenging European Countries

By signing up I agree to the Terms of Use and acknowledge that I have read the Privacy Policy . You may unsubscribe from email communication at anytime. View post: Walmart Is Selling a 'Fantastic' $90 OBD2 Scanner for $23, and Shoppers Say It's 'Very Easy to Use' The 2026 Toyota Grand Highlander is here with one change: higher prices. With 2025 models discounted, buyers may want to act before inventory runs out. View post: 2026 Toyota Grand Highlander Is Pricier With No Major Changes —Should You Buy the 2025 Instead? This early AMG G-Wagon, owned by Ivan Lendl, features a very different front – an odd but telling preview of the luxury SUV formula we know today. Tesla sales fall in multiple key markets while Musk waits on FSD approval Tesla registrations fell in several significant European countries during July, including France, Denmark, and Sweden, for the seventh consecutive month. The electric automaker registered 1,307 new vehicles in France during July, down 27% year-over-year. In Denmark, Tesla sold 336 cars, representing a 52% annual decline. Swedish Tesla sales during July were especially bleak at 163 vehicles, an 85.8% year-over-year drop. The company's Model Y SUV revamp was supposed to drive sales, which included the release of a long-range four-wheel drive version in March and a rear-wheel drive variant in May, but it failed to do so. In July, Denmark Model Y registrations decreased by 49%. 0:05 / 0:09 Another Chinese automaker is taking the fight to Tesla Watch More The fallout from Elon Musk's political presence, regulatory hurdles, and tough competition from Chinese and European brands are all creating Tesla's perfect storm of adversity on the continent. Regarding regulatory hurdles, Musk said during Tesla's Q2 earnings call in late July that the company's European sales would 'significantly' improve once Tesla can fully deploy its semi-autonomous Full Self-Driving (FSD) software. Musk added: 'This is a very important point to convey. We have been working with the Netherlands, and I think we are close to getting [FSD] approval there,' according to EV. By providing your email address, you agree that it may be used pursuant to Arena Group's Privacy Policy. Different legal frameworks have partly contributed to FSD approval in the European Union (EU) taking longer than Tesla would like, as the EU requires a more precise definition of who's at fault in a self-driving crash. Tesla also needs approval from each country, and different nations have varying opinions on autonomy. The EU generally limits self-driving approval to Level 2 systems, aligning with FSD. While Mercedes-Benz became the first automaker allowed to enable Level 3 autonomy in the EU, it's only approved on the highway at a lower speed than the autobahn's average pace. Mercedes-Benz's Level 3 system also uses LiDAR (light detection and ranging) technology, which is more expensive but often considered more capable than Tesla's self-driving system, relying on cameras and several neural networks or deep learning systems. France's auto market is shrinking In July, car sales were up 20% in Denmark and 6% in Sweden, but Tesla faces unique challenges in countries like France, where new vehicle registrations fell 8% year-over-year, according to Reuters. During June, France's car sales slid 6.7%, while Tesla's sales there dropped 10%. In Q2 as a whole, Tesla's registrations in France declined 67%. While France's downward auto sales aren't limited to Tesla, the automaker's struggles in the nation stand out. Tesla's market share in France has fallen from 1.6% in 2024 to 0.9% in 2025, outpacing the overall European market's decline of 7%. Additionally, hybrid cars represented nearly 50% of France's new car registrations in Q1, a 24.7% increase from last year. Tesla is up against France's 6.6% decline in new battery electric vehicle (BEV) purchases during Q1, where the segment held an 18.2% market share. The average age of cars in France also reached a new high of 11.3 years in 2025, according to Futura Sciences. Autoblog Newsletter Autoblog brings you car news; expert reviews and exciting pictures and video. Research and compare vehicles, too. Sign up or sign in with Google Facebook Microsoft Apple By signing up I agree to the Terms of Use and acknowledge that I have read the Privacy Policy . You may unsubscribe from email communication at anytime. Final thoughts Elon Musk's position appears to be that FSD availability across Europe will largely reverse the company's negative course in several of the continent's key markets, but regulatory hurdles aren't the only factor holding Tesla back. Tesla is also dealing with increased pressure from Chinese competitors, a lack of affordable options, and continued backlash from Musk's politics. Production of Tesla's first affordable model, a stripped-down Model Y, is set to begin next quarter, later than expected, while low-cost Chinese electric models are already flooding into Europe. About the Author Cody Carlson View Profile

Swiss government says it's ready to make Trump 'more attractive offer' on tariffs
Swiss government says it's ready to make Trump 'more attractive offer' on tariffs

Reuters

time26 minutes ago

  • Reuters

Swiss government says it's ready to make Trump 'more attractive offer' on tariffs

ZURICH, Aug 4 (Reuters) - The Swiss government is ready to make a "more attractive offer" in trade talks with Washington, the cabinet said on Monday, after a crisis meeting aimed at averting a 39% U.S. tariff on Swiss imports that could hammer the export-driven economy. The Federal Council it was determined to pursue discussions with the United States, if necessary beyond the August 7 deadline that U.S. President Donald Trump has set for the tariff to come into effect. "Switzerland enters this new phase ready to present a more attractive offer, taking U.S. concerns into account and seeking to ease the current tariff situation," it said in a statement. The statement did not give any details on what the Swiss government may offer. Switzerland was left stunned on Friday after Trump hit the country with one of the highest tariffs in his global trade reset, with industry associations warning that tens of thousands of jobs were at risk. The duties are scheduled to go into effect on Thursday, giving the country, which counts the U.S. as its top export market for pharmaceuticals, watches, machinery and chocolates, a small window to strike a better deal. The White House said on Friday it had made the move because of what it called Switzerland's refusal to make "meaningful concessions" by dropping trade barriers, calling the two nations' current trade relationship "one-sided". Swiss industry leaders and politicians, however, have struggled to understand why the country was singled out. Trump has stated that he is seeking to rebalance global trade, claiming that current trade relations are stacked against the United States. And Switzerland had a 38.5 billion Swiss franc ($48 billion) trade surplus with the U.S. last year. But Swiss President Karin Keller-Sutter told Reuters on Friday that Switzerland had given U.S. goods virtually duty-free access to its market, and Swiss companies had made very important direct investments in the United States. "The president (Trump) is really focused on the trade deficit, because he thinks that this is a loss for the United States," she told Reuters. The EU, Japan and South Korea, which have negotiated 15% tariff rates with Washington, all have larger trade surpluses with the U.S. - around $235 billion for the EU, $70 billion for Japan, and a nearly $56 billion surplus for South Korea. The cabinet said in its statement that it was committed to securing fair treatment compared with its key competitors and that it was not currently considering any countermeasures. Swiss Business Minister Guy Parmelin had said over the weekend the government was open to revising its offer to the U.S. in response to the tariff rate. He said options included Switzerland buying U.S. liquefied natural gas or further investments by Swiss companies in the United States. The new tariff rate - up from an originally proposed 31% tariff that Swiss officials had already described as "incomprehensible" - would deal a major blow to Switzerland's export-focused economy. Swiss economic output would be reduced by 0.3% to 0.6% if the 39% tariff was imposed, said Hans Gersbach, an economist at ETH, a university in Zurich. That figure could rise above 0.7% if pharmaceuticals, which are currently not covered by the U.S. import duties, are included. Prolonged disruptions could shrink Swiss GDP by more than 1%, Gersbach said. The tariffs could also see the Swiss National Bank cut interest rates in September, according to Nomura. An index of Swiss blue-chip stocks (.SSMI), opens new tab briefly hit its lowest since mid-April, as shares in banks, luxury retailers and pharma companies tumbled. The SMI index was last down 0.6% on the day, compared with a 0.6% rise in the regional STOXX 600 index (.STOXX), opens new tab. In Zurich, shares in high-end watchmakers such as Richemont (CFR.S), opens new tab and Swatch (UHR.S), opens new tab fell in volatile trading. ($1 = 0.8088 Swiss francs)

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store