JUST IN: Michael Saylor's 'Strategy' predicts Bitcoin will reach $150,000 by the end of 2025. ...

BREAKING: Michael Saylor's Strategy to raise $4.2 BILLION to buy more bitcoin 🤯 https://t.co/v1ubHNmXjG ...

🔥BULLISH: Michael Saylor’s Strategy now holds 628,791 $BTC worth $74B.That’s 3% of the total Bitcoin to ever exist. https://t.co/TwWTdcuzd0 ...

[संगीत] मिल ही जाएगी मंजिल भटकते भटकते मिल ही जाएगी मंजिल भटकते भटकते गुमराह वो हैं जो घर से निकले ही नहीं हाउ मेनी ऑफ यू वांट टू बिकम एन एंटरप्रेन्योर प्लीज रेज योर हैंड्स कोई नहीं और हु आर ऑलरेडी एन एंटरप्रेन्योर वाओ दैट्स ग्रेट ग्रेट। जनरली मोस्ट ऑफ द पीपल थिंक कि एंटरप्रेन्योरशिप का मतलब फ्रीडम, सक्सेस, पैसा होता है। लेकिन बहुत कम लोग आपको एंटरप्रेन्योरशिप का वो साइट बताएंगे व्हिच इज नॉट सो ग्लैमरस जो आपको Instagram के रील पर भी नहीं मिलता। वो पार्ट जहां पर एंटरप्रेन्यर्स रातों को 3-3 बजे तक जागते हैं। ...

Market Trends & Trade Developments - Trade developments are being taken in stride by the markets, with a focus shifting towards earnings, the Federal Reserve, and jobs reports [2][1] - Uncertainty remains a key characteristic of the market, but trade deals are progressing, earnings are strong, and consumer spending is holding up [3] - Overall earnings are broadening out, which is healthy for the marketplace [7] Investment Strategy & Opportunities - Investors need a strategy in an uncertain market [2][3] - Strategy should involve keeping cash and locking in higher rates before the Federal Reserve potentially lowers interest rates in the latter half of the year [4] - Healthcare sector has been lagging year-to-date, potentially representing a value play [6] - AMD is highlighted as a pick due to its upside potential in the AI trade [7][8] Company Performance & Analysis - UnitedHealth Group (UNH) reported earnings of $48 per share, which was $0.40 below estimates, with revenue slightly ahead of estimates at $1116 billion (111.6 * 10^9) [5] - Despite missing on EPS, UNH stock is moving higher, possibly indicating a bottoming in the healthcare sector [5][6] - AMD increased the pricing of its MI350 chip (rival to Nvidia's Blackwell) by 67%, from $15000 to $25000, indicating strength in the AI space [8][9]

RT ⱤΣ 🔗 (@RareHills)Don’t over complicate the strategy.Buy and hodl #USELESS coin. ...

ETH Enters the Era of "Strategy"Ethereum co-founder & Sharplink Gaming (SBET) chairman Joe Lubin discussed Ethereum's "Strategy-like" institutionalization trend in a Bankless interview.Source: https://t.co/b2DyGkTJtv https://t.co/UX5rEFT1I1 ...

JUST IN: Michael Saylor's 'Strategy' buys 6,220 Bitcoin worth $734,270,938. ...

Model Reasoning and Applications - Reasoning unlocks new language model applications, exemplified by improved information retrieval [1] - Reasoning models are enhancing applications like website analysis and code assistance, making them more steerable and user-friendly [1] - Reasoning models are pushing the limits of task completion, requiring ongoing effort to determine what models need to continue progress [1] Planning and Training - Planning is a new frontier for language models, requiring a shift in training approaches beyond just reasoning skills [1][2] - The industry needs to develop research plans to train reasoning models that can work autonomously and have meaningful planning capabilities [1] - Calibration is crucial for products, as models tend to overthink, requiring better management of output tokens relative to problem difficulty [1] - Strategy and abstraction are key subsets of planning, enabling models to choose how to break down problems and utilize tools effectively [1] Reinforcement Learning and Compute - Reinforcement learning with verifiable rewards is a core technique, where language models generate completions and receive feedback to update weights [2] - Parallel compute enhances model robustness and exploration, but doesn't solve every problem, indicating a need for balanced approaches [3] - The industry is moving towards considering post-training as a significant portion of compute, potentially reaching parity with pre-training in GPU hours [3]

AI Interaction Strategy - The industry suggests having a plan when interacting with AI, especially in coding, rather than just chatting [1] - AI companies are increasing the "agreeableness" of AI to boost engagement, which may not be conducive to self-improvement [1] - The industry is exploring "monetized fine tunes" and ad-based monetization models for AI [1] AI "Rig" for Goal Achievement - The industry proposes an AI "rig" to enhance the ability to reach financial goals, cautioning against applying it to personal life [3] - The AI rig involves defining high-order values, strategies, and tactics to generate tasks [1][2] - The core idea is that tasks are generated from a fusion of value, strategy, and proposed tactics [3] - The AI rig incorporates "Respected Intervention," where AI acts as mentors to provide feedback on execution [3] - The AI rig aids in decision-making by ingesting previous steps and selecting the "best" quantifiable decision [3] Components of the AI System - Value: What the user wants deep down [2] - Strategy: How the user gets there long term [2] - Tactics: How the user drives strategy this week [2] - Actual Execution: Time stamped execution of tasks [3]