BAE1. argmax_x (u|x, theta's atomness) industry effect #190
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This table is now titled "Supply Chain in Industries with Different Hardwareness" and reflects the different stages and timeframes associated with product development and lifecycle in various industries, from purely digital to purely physical, including the academic process of empirical research. |
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I explained in startup_action|industry_hardwareness.pdf, step by step, how startup create value (operation, strategy), captures value. The last page explains how ecosystem should be designed to support efficient startup operation, which depends on hardwareness of industry. Limiting the comparison to academia, even among this relatively pure software industry where knowledge is produced and delivered , further spectrum exists between social science (software) and physics (hardware). I'm tracing why measurement tool improved in Matt Cronin suggests detailed modeling in theory crisis in management research and his paper (with stock flow diagram with novelty component added) details of "producing " flow variable and testing causal loop. Another interesting Matt's comment is "there are a lot of things that we don't understand that will help us with problems later" which reminds me of exapation, logged in #192 |
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Based on three example analysis in the table below, gpt drew comparison plot on time and money investment on AGCT actions of nail, scale phase (need to verify with experts): Inferred comparison of two industries are based on generic definition of lifecycle phase and action taxonomy. 1.NSS startup lifecycle: Nail phase focuses on establishing a deep understanding of the target market and refining the value proposition to ensure the business model addresses market needs effectively, aiming for a validated business model canvas. The Scale phase emphasizes expanding operational capabilities, product offerings, and market reach, aiming for sustainable growth through operational excellence and market penetration. The Sail phase concentrates on leveraging stability and infrastructure to explore new growth opportunities, emphasizing agility and continuous innovation in response to changing market condition 2.ATGC action taxonomy: classified across four areas Atom supply/architecture (A), Technology/organization (T), Goal (G), and Customer (C), which are further evaluated by operational feasibility, technology feasibility, employee desirability, customer desirability Nail Stage DifferencesBiotech Industry:A actions: High resource intensity, both in time and money, due to the need for establishing labs and partnerships. Ratio: 30% Time, 40% Money. Semiconductor Industry:A actions: Moderate, with a focus on forming ecosystems and initial technology development setups. Ratio: 20% Time, 25% Money. Scale Stage DifferencesBiotech Industry:A actions: Continued high investment in scaling manufacturing capabilities and regulatory compliance. Ratio: 40% Time, 50% Money. Semiconductor Industry:A actions: Significant resources devoted to scaling production and enhancing fabrication technologies. Ratio: 30% Time, 40% Money. Observations:
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decided to first focus on gene therapeutics and Intelligence Processing Unit (IPU) industry which has following features. I chose CRISPR Therapeutics, Editas Medicine, Bluebird Bio and Ayar Labs, SambaNova Systems, Mythic AI for action sequencing. Gene Therapeutics:
IPUs:
IPUs have challenges on:
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Unifying statistical and pragmatic Linguistic Meaning in Term Sheets cld compares statistical and pragmatic meanings in the context of term sheets: "In the context of term sheets, statistical meaning refers to the typical ranges, frequencies, and patterns of specific terms across a large sample of deals. It represents the quantitative norms and trends in how these terms are structured. Pragmatic meaning, on the other hand, reflects the functional implications, strategic intentions, and contextual interpretations of these terms. It encompasses how the terms are actually used and understood by the parties involved, often going beyond their literal definitions. For instance, the statistical meaning of an option pool might be its average size across deals, while its pragmatic meaning could include its role in talent attraction and retention strategies." Option Pool: Board of Directors: Vesting: -wish to further understand https://techventures.columbia.edu/term-sheet-recommendations-for-launching-university-startups 's meaningful involvement |
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table.ENVIRONMENT1
This additional column on Transportation/Mobility reflects the integration of mobility solutions into the framework of development, production, distribution, and other key aspects as derived from the course materials on Mobility Ventures.
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