Learning Compression Factor - Revision history

Marcin: /* Bottom Line Significance */

2026-04-11T15:42:33Z

Bottom Line Significance

← Older revision		Revision as of 15:42, 11 April 2026
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	=Bottom Line Significance=		=Bottom Line Significance=
	This page discusses how much faster it it to attain financial goals via open learning in construction (FBA program), compared to the industry standards. '''Our goal is to measure this factor in 2026''' with real production data from building homes. This is critical for ~~building freedom~~ at sale.		This page discusses how much faster it it to attain financial goals via open learning in construction (FBA program), compared to the industry standards. '''Our goal is to measure this factor in 2026''' with real production data from building homes. This is critical for [[Building Freedom]] at sale.

	This learning compression factor is also discussed for attaining [[Integrated Human]] skillsets.		This learning compression factor is also discussed for attaining [[Integrated Human]] skillsets.

Marcin: /* Bottom Line Significance */

2026-04-11T15:42:18Z

Bottom Line Significance

← Older revision		Revision as of 15:42, 11 April 2026
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	=Bottom Line Significance=		=Bottom Line Significance=
	This page discusses how much faster it it to attain financial goals via open learning in construction (FBA program), compared to the industry standards. '''Our goal is to measure this factor in 2026''' with real production data from building homes.		This page discusses how much faster it it to attain financial goals via open learning in construction (FBA program), compared to the industry standards. '''Our goal is to measure this factor in 2026''' with real production data from building homes. This is critical for building freedom at sale.

	This learning compression factor is also discussed for attaining [[Integrated Human]] skillsets.		This learning compression factor is also discussed for attaining [[Integrated Human]] skillsets.

Marcin: /* Bottom Line Significance */

2026-01-18T01:43:01Z

Bottom Line Significance

← Older revision		Revision as of 01:43, 18 January 2026
Line 76:		Line 76:

	=Bottom Line Significance=		=Bottom Line Significance=
	This page discusses how much faster it it to attain financial goals via open learning in construction (FBA program), compared to the industry standards.		This page discusses how much faster it it to attain financial goals via open learning in construction (FBA program), compared to the industry standards. '''Our goal is to measure this factor in 2026''' with real production data from building homes.

	This learning compression factor is also discussed for attaining [[Integrated Human]] skillsets.		This learning compression factor is also discussed for attaining [[Integrated Human]] skillsets.

Marcin: /* Bottom Line Significance */

2026-01-18T01:42:15Z

Bottom Line Significance

← Older revision		Revision as of 01:42, 18 January 2026
Line 76:		Line 76:

	=Bottom Line Significance=		=Bottom Line Significance=
	This page discusses how much faster it it to attain financial goals via open learning in construction (FBA program), compared to the industry standards.		This page discusses how much faster it it to attain financial goals via open learning in construction (FBA program), compared to the industry standards.

			This learning compression factor is also discussed for attaining [[Integrated Human]] skillsets.

Marcin: /* Synthesis */

2026-01-18T01:41:23Z

Synthesis

← Older revision		Revision as of 01:41, 18 January 2026
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	[https://docs.google.com/document/d/1QpjBG1G75t7DxnvHlQeaWnhAW4sRv80gx6zDMYLnSIw/edit?tab=t.0#heading=h.2pshlg50g2dn edit]		[https://docs.google.com/document/d/1QpjBG1G75t7DxnvHlQeaWnhAW4sRv80gx6zDMYLnSIw/edit?tab=t.0#heading=h.2pshlg50g2dn edit]

			=Bottom Line Significance=
			This page discusses how much faster it it to attain financial goals via open learning in construction (FBA program), compared to the industry standards.

Marcin: /* About */

2026-01-18T01:38:27Z

About

← Older revision		Revision as of 01:38, 18 January 2026
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	Source - [https://chatgpt.com/share/696bfed2-cd40-8010-9100-2bd4978b401b]		Source - [https://chatgpt.com/share/696bfed2-cd40-8010-9100-2bd4978b401b]

	OSE is predicting a bold, 50-100 learning compression factor. Ie - the factor of speed increase to gain any marketable skill - as measured by the fact that a learner gets paid from this work. We can take the case for OSE vs industry standard.		OSE is predicting a bold, 50-100 learning compression factor (how much faster for a certain amount of knowhow). But also a 10-20 learning compression factor (how much faster) when measured by time to a shorter point - such as to a specified revenue (say $100k) on a shorter time scale. LCF applies to lifetime learning over multiple disciplines

			Ie - the factor of speed increase to gain any marketable skill - as measured by the fact that a learner gets paid from this work. We can take the case for OSE vs industry standard.

	We simple take the time it take for the OSE apprentice to get to $100k earnings - vs the time it takes in the industry to get to $100k (comparable sectors - builders and General Contractors). $100k is the predicted earnings, and now it is time for data collection to determine how much faster an [[FBA]] apprentice takes to get there.		We simple take the time it take for the OSE apprentice to get to $100k earnings - vs the time it takes in the industry to get to $100k (comparable sectors - builders and General Contractors). $100k is the predicted earnings, and now it is time for data collection to determine how much faster an [[FBA]] apprentice takes to get there.

Marcin: /* Cardinal OSE Rules */

2026-01-18T01:33:22Z

Cardinal OSE Rules

← Older revision		Revision as of 01:33, 18 January 2026
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	Note that cooperatives, ESOPS, Toyota-style profit sharing, and many open hardware projects actually operate on redistribution. That model works, but it is not maximally agency-respecting.		Note that cooperatives, ESOPS, Toyota-style profit sharing, and many open hardware projects actually operate on redistribution. That model works, but it is not maximally agency-respecting.

			*A learning organization must make adaptation so accessible that refusal is clearly a choice, not a consequence. [https://chatgpt.com/share/696c17dd-00ec-8010-97e0-c351f32c89f9]

	=Discussion=		=Discussion=

Marcin: /* Cardinal OSE Rules */

2026-01-18T01:12:01Z

Cardinal OSE Rules

← Older revision		Revision as of 01:12, 18 January 2026
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	*'''Learning Compression is effectively unbounded''' - (High LCR means access, not allocation, is the lever.)		*'''Learning Compression is effectively unbounded''' - (High LCR means access, not allocation, is the lever.)

	Note that cooperatives, ESOPS, Toyota-style profit sharing, and many open hardware projects actually operate on redistribution. That model works, but it is not maximally agency-respecting		Note that cooperatives, ESOPS, Toyota-style profit sharing, and many open hardware projects actually operate on redistribution. That model works, but it is not maximally agency-respecting.

	=Discussion=		=Discussion=

Marcin: /* Cardinal OSE Rules */

2026-01-18T01:11:35Z

Cardinal OSE Rules

← Older revision		Revision as of 01:11, 18 January 2026
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	*'''Barriers to entry must be extremely low''' - Anyone who wants more must be able to step into the higher-value activity quickly.		*'''Barriers to entry must be extremely low''' - Anyone who wants more must be able to step into the higher-value activity quickly.
	*'''Learning Compression is effectively unbounded''' - (High LCR means access, not allocation, is the lever.)		*'''Learning Compression is effectively unbounded''' - (High LCR means access, not allocation, is the lever.)

			Note that cooperatives, ESOPS, Toyota-style profit sharing, and many open hardware projects actually operate on redistribution. That model works, but it is not maximally agency-respecting

	=Discussion=		=Discussion=

Marcin: /* Compensation Architecture */

2026-01-18T01:10:04Z

Compensation Architecture

← Older revision		Revision as of 01:10, 18 January 2026
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	*Fast learning pathways		*Fast learning pathways
	*Higher tiers unlocked by action only		*Higher tiers unlocked by action only
			==Cardinal OSE Rules==
			*'''Agency is primary''' - No one should receive value they did not directly act to create.
			*'''Barriers to entry must be extremely low''' - Anyone who wants more must be able to step into the higher-value activity quickly.
			*'''Learning Compression is effectively unbounded''' - (High LCR means access, not allocation, is the lever.)

	=Discussion=		=Discussion=