RT Strategy (@Strategy)Strategy is misunderstood and undervalued. $MSTR https://t.co/EbisD2LhBf ...

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 ...

Entrepreneurship & Business Strategy - Don't fall in love with your idea, fall in love with the problem of your customer; idea is the seed, the problem is the soil [2] - Don't take criticism personally, especially in business; it's a signal to improve, not a rejection [3] - Don't chase too many rabbits; focus on one problem at a time [3][4] - Don't scale without a strategy; more sales people is not equal to more sales, more sales is equal to right strategy, right people at the right time [4] - Don't burn yourself out; balance personal and professional life [5] Startup Journey & Lessons Learned - The speaker shared five important lessons from 15 years of entrepreneurship, including two failed startups and one successful startup that generated over 1 billion INR (approximately $12 million USD) in revenue last year [1] - In 2011, the speaker launched their first tech company, Dipzer InfoTech, with two friends, but it failed because the software was a desktop-based application in a market moving towards web-based solutions [1] - In 2015, the speaker started an e-commerce website, Gift Punch, selling cute little gifts online, but it failed due to logistics issues and focusing on two businesses simultaneously [3] - In 2022, I Think Logistics hired 30 sales people at once but failed because they lacked direction and a clear strategy [4]

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]

Investment Strategy - The strategy is to buy and hold USELESS coin [1] - The strategy should not be over complicated [1]

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]