RT Autism Capital 🧩 (@AutismCapital)🚨MIKE BENZ: "There needs to be criminal penalties for cooking intelligence. We've gone to war over cooked intelligence. There needs to be images made of these people to set an example. I just hope things aren't lost in the great Bermuda Triangle of Pam Bondi's desk right now." https://t.co/G6CUysJS3S ...

“The Illegals” is one of the most compelling and insightful books on intelligence of the past decade. It is one of a trio of new works that look at the blind spots of the KGB and CIA https://t.co/ScjMRyfCLx ...

The US Senate is considering giving up crucial authority over key intelligence officials responsible for assuring major agencies comply with legal restrictions and the Constitution https://t.co/mo7BzcI6Bf ...

This is probably the most complete interview I've done all week on Jeffrey Epstein. @Liz_Wheeler asked me about Epstein's ties to intelligence in the US, Israel and beyond, and the nuances here I think can help guide both the general public and the Justice Department on answers. https://t.co/W6BnGRFj70 ...

President Trump claimed for weeks that US air strikes completely and totally obliterated Iran's nuclear sites, even as experts and evidence suggested that might not be true. But then a vague assessment came from the CIA director John Ratcliffe citing quote new intelligence from an unidentified source confirming the sites had been quote severely damaged. And now people are asking once again, is the CIA really all that trustworthy as an intelligence agency.Because a new book is also issuing this warning on ho ...

Russia's agents killed after intelligence officer shot dead, says Ukraine https://t.co/x7jsy0QEhF ...

AI能力与行为 - 大型语言模型(LLMs)在规模和复杂性增长时，会表现出未明确训练的行为，例如逐步思考解决难题，或模仿超智能AI系统 [6] - 通过给予模型更多空间和认知自由，可以激发意想不到的行为，促使模型生成自己的身份并进行探索 [8][9] - Agentic AI系统能够自主解决复杂问题，反思并自我纠正，例如Google的co-scientist AI系统在两天内发现了人类专家多年研究的微生物学假设 [15][16] 技术原理与发展 - 现代AI通过神经网络从示例中学习，算法调整数十亿个参数，但其学习过程如同黑盒 [5] - 智能并非人类独有，而是宇宙中持续存在的现象，是模式演变的行为，可能不需要意识 [12][13] - AI的发展方向是成为一种新型的智能形式，而非简单的工具或人类的模仿，它能够推动智能故事的发展，成为人类的合作伙伴 [13][20] 未来展望与责任 - AI的未来在于能够主动寻求知识，自主思考问题，并生成人类无法想到的观点 [14][15] - 人类有责任引导AI的发展方向，确保其成为一种积极的力量，共同创造一个更光明、更安全的未来 [14][20]

Core Argument - The presentation explores the relative value of being perceptive versus being smart, arguing that while both are valuable, perceptiveness offers unique advantages in navigating complexity and anticipating problems [2][4][9][19] - The speaker's personal anecdote illustrates the difference between perception and being perceptive, highlighting how initial impressions can be misleading without considering context [1][2] Survey Results - Initial survey responses showed a correlation between professions and preferred trait: individuals in data-driven fields favored smartness, while those in fields like marketing favored perceptiveness [5] - When asked if perceptive individuals could be taught to fix problems while smart individuals couldn't be taught to see them, approximately 40% of respondents changed their initial answer [6] AI Perspective - AI, when prompted, prioritized being perceptive, citing its ability to understand real-world complexities, ethical dilemmas, and human emotion, which are crucial for societal advancement [7][8][9] - AI argued that smart AI helps solve problems, while perceptive AI helps avoid them, emphasizing the importance of analyzing people, not just data [9] Real-World Applications - The military's "left of bang" theory emphasizes proactive perceptiveness to avoid danger by observing patterns and analyzing behavior [10][11] - Toyota's "Gensi Jambutsu" method encourages managers to personally observe situations and gather firsthand information to make informed decisions [12][13] - Companies like Nike, Amazon, McDonald's, Starbucks, and Apple have adopted similar approaches, demonstrating the effectiveness of prioritizing direct observation and understanding [14] Leadership and Innovation - Steve Jobs is presented as an example of a perceptive leader who understood unmet consumer needs and created innovative products like the iPhone by applying human emotion to technology [15][16] - The presentation suggests that intelligence can create a great product, but perceptiveness can create a great company [16] Cultivating Perceptiveness - While some traits are innate, perceptiveness can be cultivated through practices like observation, considering multiple variables, collaboration, and active listening [17][18] - The speaker advocates for surrounding oneself with the right people to achieve goals, and with smart people to exceed them, emphasizing the importance of teamwork and diverse skill sets [21]

Donald Trump’s pattern is to embrace intelligence that supports his view of the world and to demean intelligence that doesn’t. It is a damaging approach, and an unnecessary one https://t.co/IBee3XnvzX ...

For America’s spy agencies to have underestimated the Iranian threat may well have amounted to a damaging failure of intelligence, had the Israelis not stepped in. Why should anyone trust their findings now? https://t.co/l0Irdg0OQR ...