The advancement in Large Language Models has driven the creation of complex agentic systems, such as Deep Research Agents (DRAs), to overcome the limitations of static Retrieval Augmented Generation (RAG) pipelines in handling complex, multi-turn research tasks. This paper introduces the Static Deep Research Agent (Static-DRA), a novel solution built upon a configurable and hierarchical Tree-based static workflow. The core contribution is the integration of two user-tunable parameters, Depth and Breadth, which provide granular control over the research intensity. This design allows end-users to consciously balance the desired quality and comprehensiveness of the research report against the associated computational cost of Large Language Model (LLM) interactions. The agent's architecture, comprising Supervisor, Independent, and Worker agents, facilitates effective multi-hop information retrieval and parallel sub-topic investigation. We evaluate the Static-DRA against the established DeepResearch Bench using the RACE (Reference-based Adaptive Criteria-driven Evaluation) framework. Configured with a depth of 2 and a breadth of 5, and powered by the gemini-2.5-pro model, the agent achieved an overall score of 34.72. Our experiments validate that increasing the configured Depth and Breadth parameters results in a more in-depth research process and a correspondingly higher evaluation score. The Static-DRA offers a pragmatic and resource-aware solution, empowering users with transparent control over the deep research process. The entire source code, outputs and benchmark results are open-sourced at https://github.com/SauravP97/Static-Deep-Research/

ChatGPT may have access to limitless information, but it can still learn a thing or two from a billionaire like Bill Gates. In an interview with UK Prime Minister Rishi Sunak in February, Gates answered questions generated by an AI chatbot, similar to ChatGPT. The chatbot asked about the best advice they've ever received and how it has influenced their lives. The tech mogul cited "great advice" from his longtime friend and fellow billionaire, Warren Buffett, on the importance of friendship. "Warren Buffett talked about [how], in the end, it's how friends really think of you and how strong those friendships are [that matters]," Gates shared.

When we are investing in the market, we are all looking for an'edge'. As the markets are a zero-sum game, an edge is an unfair advantage that we believe will land us on the right side of a decision. This edge (whether real or perceived) can be your analysis of stocks, trusting the right expert, some intuition, technical analysis or using technology. The edge helps you be right a little more than 50 percent of the time, like a loaded coin in a coin toss that shows heads 51 out of 100 times. The only constant thing is that the edge is dynamic.

"Our greatest assets are our team members, and we are committed to continually improving their lives. Whether investing in leadership initiatives, or improving our facilities, we believe the only way you can create a world-class customer experience is by first creating a world-class team member experience." Preface: To tee up the new item produced by Clayton Homes that follows below, some background is useful. First, some related background, then the new items from Clayton. An independent of Clayton Homes that stopped selling their HUD Code manufactured homes some time ago reminded MHProNews about claims that after Warren Buffett bought their brand, they tried cutting the pay of retail general managers.

Artificial intelligence is upending the financial management industry in spectacular ways. The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. A number of experts have started analyzing the role of AI in technical analysis. One white paper published on Science Direct shows that it could be one of the biggest breakthroughs in modern financial trading.

Artificial intelligence is upending the financial management industry in spectacular ways. The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. A number of experts have started analyzing the role of AI in technical analysis. One white paper published on Science Direct shows that it could be one of the biggest breakthroughs in modern financial trading.

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Billionaire investor Warren Buffett said Monday that IBM's artificial intelligence unit Watson should one day take the place of humans. "I would think the biggest value will come in when it actually replaces human labor, and machines don't come round annually and ask for higher wages, and they don't need health care, and maybe a little maintenance," Buffett said on CNBC's "Squawk Box." "It should replace people in a big way, unless some other products do the same thing," he said, noting Watson's potential for reading X-rays faster and better than humans. Buffett told CNBC last week he owned about 81 million shares of IBM at the end of 2016 and sold off about a third of that stake in the first and second quarters of 2017. "Watson is a pretty amazing invention," Buffett said. "I'm sure the revenue is growing very significantly but from a very small base."

Nearly two decades ago, a 10-year-old shareholder stood in front of a microphone here and asked Warren Buffett how the Internet would reshape companies. Buffett, the chairman and CEO of Berkshire Hathaway, said fairly little. He saw a threat in the Internet, but said he was unsure how it would ultimately affect his investments, according to a report at the time. On Saturday, that same shareholder, Thomas Kamei, now a 27-year-old investor based in New York, submitted an updated version of his question at Berkshire's annual meeting. This time, Kamei focused on artificial intelligence, a technology that threatens to upend the economy just as the Internet did years before. What did Buffett make of it?

Warren Buffett shared his thoughts at the Berkshire Hathaway's annual shareholders' meeting on Saturday when he shared that he sees cyber attacks as a bigger threat to humanity than nuclear weapons. The annual meeting was livestreamed by Yahoo for only the second time in history. "I don't know that much about cyber, but I do think that's the number one problem with mankind," said Buffett at the meeting. While this is not a new belief it does validate cybersecurity as an area that there might be opportunity. "I'm very pessimistic on weapons of mass destruction generally although I don't think that nuclear probably is quite as likely as either primarily biological and maybe cyber," he said.