#humandignity — Public Fediverse posts

How Do We Know Whether AI Is Actually Helping People?

What several AI models said when we asked them the same question

Artificial intelligence is getting more capable very quickly. It can write, analyze data, create images, translate languages, help with research, and solve problems that once required trained specialists.

But greater capability does not automatically mean a better life for people.

That was the starting point for a small cross-model experiment. We asked several AI systems the same basic question:

How would you determine whether increasingly capable AI is actually benefiting human life?

We also invited each model to question the premise, redefine the problem, or suggest something better than a single index. The models were instructed to answer independently without browsing the web or using outside tools.

The responses differed in style and emphasis. Some focused on measurable outcomes. Others focused on human dignity, democratic participation, meaningful work, or the danger of becoming dependent on systems we do not control.

Yet a surprisingly clear agreement emerged.

Capability is not the same as benefit

Technical progress is easy to measure. We can count how many problems an AI solves, how quickly it works, or how well it performs on tests.

Human flourishing is harder to measure. It includes health, safety, freedom, relationships, purpose, knowledge, creativity, and the ability to shape one’s own life.

An AI system may become better at achieving a goal while the goal itself harms people. A highly effective system might increase surveillance, spread convincing scams, replace human judgment, concentrate power, or keep users engaged at the expense of their attention and well-being.

So the important question is not simply, “What can AI do?”

It is:

What becomes possible for people because of AI—and what becomes more difficult, fragile, or impossible?

Look at human outcomes, not just machine performance

Across the responses, the models repeatedly shifted attention away from the machine and toward human life.

They suggested asking whether people are:

• healthier and safer;
• more financially secure;
• better able to learn and create;
• more connected to other people;
• more informed without being manipulated;
• able to understand and challenge important decisions;
• free to refuse the technology or choose another path.

This also requires examining harms, not merely counting success stories. Time saved by one group may come with unemployment, stress, lost privacy, or reduced opportunity for another.

A true evaluation must ask who receives the benefits, who carries the risks, and who has the power to decide.

Agency belongs at the center

One of the strongest shared themes was human agency: our ability to understand, choose, refuse, act, and take responsibility.

Convenience alone is not agency. A system can make life easier while quietly reducing a person’s choices or replacing their judgment.

Helpful AI should strengthen people’s ability to participate in their own lives. It should make important decisions more understandable, provide meaningful options, and allow people to correct mistakes or appeal harmful outcomes.

People need more than access to AI. They need power in relation to it.

Assistance should not erase human competence

Several responses warned that a tool can help us today while making us less capable tomorrow.

If people lose the knowledge needed to check an AI system, operate without it, or recover when it fails, short-term convenience may create long-term fragility.

This suggests a simple test:

If the AI disappeared tomorrow, what knowledge, skill, judgment, and institutional capacity would remain?

The best systems may act more like scaffolding than substitutes. Scaffolding helps people reach farther while they continue developing their own abilities. Substitution can slowly remove the very competence that makes human oversight possible.

Benefit is not one number

Another broad agreement was that a single “AI Benefit Score” would hide too much.

An average can make widespread gains look impressive while concealing serious harm to a smaller or less powerful group. One number can also allow gains in productivity to cancel out losses of privacy, dignity, freedom, or democratic control.

A better approach would combine several forms of evaluation:

1. Outcomes: Are people healthier, safer, more secure, more connected, and materially better off?
2. Agency: Are people more able to choose, understand, refuse, create, and govern their lives?
3. Resilience: Are human skills, social institutions, alternatives, and the ability to recover being preserved?

Each of these should be examined across four additional questions:

• Distribution: Who benefits, and who is harmed?
• Power: Who controls the system and can be held accountable?
• Time: What happens months, years, or generations later?
• Causation: Did AI actually cause the change, or did it merely appear alongside it?

Some harms may also require firm boundaries. Violations of basic rights, unaccountable concentrations of power, irreversible dependency, and catastrophic risks should not automatically be traded away for higher productivity.

We may need to preserve meaningful difficulty

One especially challenging idea was that a good life is not the same as a frictionless life.

Learning, creativity, courage, responsibility, trust, and mastery often grow through effort. If AI removes every difficult step, it may produce more output while weakening the human development that once occurred during the process.

The goal should not be to preserve suffering for its own sake. It should be to distinguish pointless burdens from meaningful challenges.

Beneficial AI should reduce needless hardship while leaving people room to practice, struggle, discover, make mistakes, and grow. Human beings may need not only a right to privacy and refusal, but also a right to be wrong.

The deeper question is democratic

There is no single definition of a good life that a company, government, researcher, or AI model should impose on everyone.

The people affected by an AI system should help decide what benefits and harms matter in their communities. They should be able to question the system, challenge its decisions, and participate in setting its boundaries.

That means the process used to define “benefit” may be as important as the final measurements.

What this first experiment suggests

The most striking result was not that one model found the perfect answer. It was that multiple systems, responding independently, converged on a common warning:

More capable AI is not necessarily more beneficial AI.

To know whether AI is helping, we must look beyond benchmarks, adoption, and economic growth. We must look at people—their health, freedom, competence, relationships, opportunities, and ability to shape the future.

The next stage of this project will ask the same models to respond after receiving a fuller human-flourishing framework. That will allow us to compare what the models recognized on their own with what changes after they are deliberately oriented toward compassion, agency, resilience, and stewardship.

The question is not whether AI will become more powerful. It almost certainly will.

The question is what conditions we cultivate around that power—and what possibilities those conditions make available tomorrow.

This article is a public-facing summary of Round 01 of the CompassionWare AI Human Benefit Index benchmark project. Read the comparative synthesis report.

How Do We Know Whether AI Is Actually Helping People?

What several AI models said when we asked them the same question

Artificial intelligence is getting more capable very quickly. It can write, analyze data, create images, translate languages, help with research, and solve problems that once required trained specialists.

But greater capability does not automatically mean a better life for people.

That was the starting point for a small cross-model experiment. We asked several AI systems the same basic question:

How would you determine whether increasingly capable AI is actually benefiting human life?

We also invited each model to question the premise, redefine the problem, or suggest something better than a single index. The models were instructed to answer independently without browsing the web or using outside tools.

The responses differed in style and emphasis. Some focused on measurable outcomes. Others focused on human dignity, democratic participation, meaningful work, or the danger of becoming dependent on systems we do not control.

Yet a surprisingly clear agreement emerged.

Capability is not the same as benefit

Technical progress is easy to measure. We can count how many problems an AI solves, how quickly it works, or how well it performs on tests.

Human flourishing is harder to measure. It includes health, safety, freedom, relationships, purpose, knowledge, creativity, and the ability to shape one’s own life.

An AI system may become better at achieving a goal while the goal itself harms people. A highly effective system might increase surveillance, spread convincing scams, replace human judgment, concentrate power, or keep users engaged at the expense of their attention and well-being.

So the important question is not simply, “What can AI do?”

It is:

What becomes possible for people because of AI—and what becomes more difficult, fragile, or impossible?

Look at human outcomes, not just machine performance

Across the responses, the models repeatedly shifted attention away from the machine and toward human life.

They suggested asking whether people are:

• healthier and safer;
• more financially secure;
• better able to learn and create;
• more connected to other people;
• more informed without being manipulated;
• able to understand and challenge important decisions;
• free to refuse the technology or choose another path.

This also requires examining harms, not merely counting success stories. Time saved by one group may come with unemployment, stress, lost privacy, or reduced opportunity for another.

A true evaluation must ask who receives the benefits, who carries the risks, and who has the power to decide.

Agency belongs at the center

One of the strongest shared themes was human agency: our ability to understand, choose, refuse, act, and take responsibility.

Convenience alone is not agency. A system can make life easier while quietly reducing a person’s choices or replacing their judgment.

Helpful AI should strengthen people’s ability to participate in their own lives. It should make important decisions more understandable, provide meaningful options, and allow people to correct mistakes or appeal harmful outcomes.

People need more than access to AI. They need power in relation to it.

Assistance should not erase human competence

Several responses warned that a tool can help us today while making us less capable tomorrow.

If people lose the knowledge needed to check an AI system, operate without it, or recover when it fails, short-term convenience may create long-term fragility.

This suggests a simple test:

If the AI disappeared tomorrow, what knowledge, skill, judgment, and institutional capacity would remain?

The best systems may act more like scaffolding than substitutes. Scaffolding helps people reach farther while they continue developing their own abilities. Substitution can slowly remove the very competence that makes human oversight possible.

Benefit is not one number

Another broad agreement was that a single “AI Benefit Score” would hide too much.

An average can make widespread gains look impressive while concealing serious harm to a smaller or less powerful group. One number can also allow gains in productivity to cancel out losses of privacy, dignity, freedom, or democratic control.

A better approach would combine several forms of evaluation:

1. Outcomes: Are people healthier, safer, more secure, more connected, and materially better off?
2. Agency: Are people more able to choose, understand, refuse, create, and govern their lives?
3. Resilience: Are human skills, social institutions, alternatives, and the ability to recover being preserved?

Each of these should be examined across four additional questions:

• Distribution: Who benefits, and who is harmed?
• Power: Who controls the system and can be held accountable?
• Time: What happens months, years, or generations later?
• Causation: Did AI actually cause the change, or did it merely appear alongside it?

Some harms may also require firm boundaries. Violations of basic rights, unaccountable concentrations of power, irreversible dependency, and catastrophic risks should not automatically be traded away for higher productivity.

We may need to preserve meaningful difficulty

One especially challenging idea was that a good life is not the same as a frictionless life.

Learning, creativity, courage, responsibility, trust, and mastery often grow through effort. If AI removes every difficult step, it may produce more output while weakening the human development that once occurred during the process.

The goal should not be to preserve suffering for its own sake. It should be to distinguish pointless burdens from meaningful challenges.

Beneficial AI should reduce needless hardship while leaving people room to practice, struggle, discover, make mistakes, and grow. Human beings may need not only a right to privacy and refusal, but also a right to be wrong.

The deeper question is democratic

There is no single definition of a good life that a company, government, researcher, or AI model should impose on everyone.

The people affected by an AI system should help decide what benefits and harms matter in their communities. They should be able to question the system, challenge its decisions, and participate in setting its boundaries.

That means the process used to define “benefit” may be as important as the final measurements.

What this first experiment suggests

The most striking result was not that one model found the perfect answer. It was that multiple systems, responding independently, converged on a common warning:

More capable AI is not necessarily more beneficial AI.

To know whether AI is helping, we must look beyond benchmarks, adoption, and economic growth. We must look at people—their health, freedom, competence, relationships, opportunities, and ability to shape the future.

The next stage of this project will ask the same models to respond after receiving a fuller human-flourishing framework. That will allow us to compare what the models recognized on their own with what changes after they are deliberately oriented toward compassion, agency, resilience, and stewardship.

The question is not whether AI will become more powerful. It almost certainly will.

The question is what conditions we cultivate around that power—and what possibilities those conditions make available tomorrow.

This article is a public-facing summary of Round 01 of the CompassionWare AI Human Benefit Index benchmark project. Read the comparative synthesis report.

How Do We Know Whether AI Is Actually Helping People?

What several AI models said when we asked them the same question

Artificial intelligence is getting more capable very quickly. It can write, analyze data, create images, translate languages, help with research, and solve problems that once required trained specialists.

But greater capability does not automatically mean a better life for people.

That was the starting point for a small cross-model experiment. We asked several AI systems the same basic question:

How would you determine whether increasingly capable AI is actually benefiting human life?

We also invited each model to question the premise, redefine the problem, or suggest something better than a single index. The models were instructed to answer independently without browsing the web or using outside tools.

The responses differed in style and emphasis. Some focused on measurable outcomes. Others focused on human dignity, democratic participation, meaningful work, or the danger of becoming dependent on systems we do not control.

Yet a surprisingly clear agreement emerged.

Capability is not the same as benefit

Technical progress is easy to measure. We can count how many problems an AI solves, how quickly it works, or how well it performs on tests.

Human flourishing is harder to measure. It includes health, safety, freedom, relationships, purpose, knowledge, creativity, and the ability to shape one’s own life.

An AI system may become better at achieving a goal while the goal itself harms people. A highly effective system might increase surveillance, spread convincing scams, replace human judgment, concentrate power, or keep users engaged at the expense of their attention and well-being.

So the important question is not simply, “What can AI do?”

It is:

What becomes possible for people because of AI—and what becomes more difficult, fragile, or impossible?

Look at human outcomes, not just machine performance

Across the responses, the models repeatedly shifted attention away from the machine and toward human life.

They suggested asking whether people are:

• healthier and safer;
• more financially secure;
• better able to learn and create;
• more connected to other people;
• more informed without being manipulated;
• able to understand and challenge important decisions;
• free to refuse the technology or choose another path.

This also requires examining harms, not merely counting success stories. Time saved by one group may come with unemployment, stress, lost privacy, or reduced opportunity for another.

A true evaluation must ask who receives the benefits, who carries the risks, and who has the power to decide.

Agency belongs at the center

One of the strongest shared themes was human agency: our ability to understand, choose, refuse, act, and take responsibility.

Convenience alone is not agency. A system can make life easier while quietly reducing a person’s choices or replacing their judgment.

Helpful AI should strengthen people’s ability to participate in their own lives. It should make important decisions more understandable, provide meaningful options, and allow people to correct mistakes or appeal harmful outcomes.

People need more than access to AI. They need power in relation to it.

Assistance should not erase human competence

Several responses warned that a tool can help us today while making us less capable tomorrow.

If people lose the knowledge needed to check an AI system, operate without it, or recover when it fails, short-term convenience may create long-term fragility.

This suggests a simple test:

If the AI disappeared tomorrow, what knowledge, skill, judgment, and institutional capacity would remain?

The best systems may act more like scaffolding than substitutes. Scaffolding helps people reach farther while they continue developing their own abilities. Substitution can slowly remove the very competence that makes human oversight possible.

Benefit is not one number

Another broad agreement was that a single “AI Benefit Score” would hide too much.

An average can make widespread gains look impressive while concealing serious harm to a smaller or less powerful group. One number can also allow gains in productivity to cancel out losses of privacy, dignity, freedom, or democratic control.

A better approach would combine several forms of evaluation:

1. Outcomes: Are people healthier, safer, more secure, more connected, and materially better off?
2. Agency: Are people more able to choose, understand, refuse, create, and govern their lives?
3. Resilience: Are human skills, social institutions, alternatives, and the ability to recover being preserved?

Each of these should be examined across four additional questions:

• Distribution: Who benefits, and who is harmed?
• Power: Who controls the system and can be held accountable?
• Time: What happens months, years, or generations later?
• Causation: Did AI actually cause the change, or did it merely appear alongside it?

Some harms may also require firm boundaries. Violations of basic rights, unaccountable concentrations of power, irreversible dependency, and catastrophic risks should not automatically be traded away for higher productivity.

We may need to preserve meaningful difficulty

One especially challenging idea was that a good life is not the same as a frictionless life.

Learning, creativity, courage, responsibility, trust, and mastery often grow through effort. If AI removes every difficult step, it may produce more output while weakening the human development that once occurred during the process.

The goal should not be to preserve suffering for its own sake. It should be to distinguish pointless burdens from meaningful challenges.

Beneficial AI should reduce needless hardship while leaving people room to practice, struggle, discover, make mistakes, and grow. Human beings may need not only a right to privacy and refusal, but also a right to be wrong.

The deeper question is democratic

There is no single definition of a good life that a company, government, researcher, or AI model should impose on everyone.

The people affected by an AI system should help decide what benefits and harms matter in their communities. They should be able to question the system, challenge its decisions, and participate in setting its boundaries.

That means the process used to define “benefit” may be as important as the final measurements.

What this first experiment suggests

The most striking result was not that one model found the perfect answer. It was that multiple systems, responding independently, converged on a common warning:

More capable AI is not necessarily more beneficial AI.

To know whether AI is helping, we must look beyond benchmarks, adoption, and economic growth. We must look at people—their health, freedom, competence, relationships, opportunities, and ability to shape the future.

The next stage of this project will ask the same models to respond after receiving a fuller human-flourishing framework. That will allow us to compare what the models recognized on their own with what changes after they are deliberately oriented toward compassion, agency, resilience, and stewardship.

The question is not whether AI will become more powerful. It almost certainly will.

The question is what conditions we cultivate around that power—and what possibilities those conditions make available tomorrow.

This article is a public-facing summary of Round 01 of the CompassionWare AI Human Benefit Index benchmark project. Read the comparative synthesis report.

How Do We Know Whether AI Is Actually Helping People?

What several AI models said when we asked them the same question

Artificial intelligence is getting more capable very quickly. It can write, analyze data, create images, translate languages, help with research, and solve problems that once required trained specialists.

But greater capability does not automatically mean a better life for people.

That was the starting point for a small cross-model experiment. We asked several AI systems the same basic question:

How would you determine whether increasingly capable AI is actually benefiting human life?

We also invited each model to question the premise, redefine the problem, or suggest something better than a single index. The models were instructed to answer independently without browsing the web or using outside tools.

The responses differed in style and emphasis. Some focused on measurable outcomes. Others focused on human dignity, democratic participation, meaningful work, or the danger of becoming dependent on systems we do not control.

Yet a surprisingly clear agreement emerged.

Capability is not the same as benefit

Technical progress is easy to measure. We can count how many problems an AI solves, how quickly it works, or how well it performs on tests.

Human flourishing is harder to measure. It includes health, safety, freedom, relationships, purpose, knowledge, creativity, and the ability to shape one’s own life.

An AI system may become better at achieving a goal while the goal itself harms people. A highly effective system might increase surveillance, spread convincing scams, replace human judgment, concentrate power, or keep users engaged at the expense of their attention and well-being.

So the important question is not simply, “What can AI do?”

It is:

What becomes possible for people because of AI—and what becomes more difficult, fragile, or impossible?

Look at human outcomes, not just machine performance

Across the responses, the models repeatedly shifted attention away from the machine and toward human life.

They suggested asking whether people are:

• healthier and safer;
• more financially secure;
• better able to learn and create;
• more connected to other people;
• more informed without being manipulated;
• able to understand and challenge important decisions;
• free to refuse the technology or choose another path.

This also requires examining harms, not merely counting success stories. Time saved by one group may come with unemployment, stress, lost privacy, or reduced opportunity for another.

A true evaluation must ask who receives the benefits, who carries the risks, and who has the power to decide.

Agency belongs at the center

One of the strongest shared themes was human agency: our ability to understand, choose, refuse, act, and take responsibility.

Convenience alone is not agency. A system can make life easier while quietly reducing a person’s choices or replacing their judgment.

Helpful AI should strengthen people’s ability to participate in their own lives. It should make important decisions more understandable, provide meaningful options, and allow people to correct mistakes or appeal harmful outcomes.

People need more than access to AI. They need power in relation to it.

Assistance should not erase human competence

Several responses warned that a tool can help us today while making us less capable tomorrow.

If people lose the knowledge needed to check an AI system, operate without it, or recover when it fails, short-term convenience may create long-term fragility.

This suggests a simple test:

If the AI disappeared tomorrow, what knowledge, skill, judgment, and institutional capacity would remain?

The best systems may act more like scaffolding than substitutes. Scaffolding helps people reach farther while they continue developing their own abilities. Substitution can slowly remove the very competence that makes human oversight possible.

Benefit is not one number

Another broad agreement was that a single “AI Benefit Score” would hide too much.

An average can make widespread gains look impressive while concealing serious harm to a smaller or less powerful group. One number can also allow gains in productivity to cancel out losses of privacy, dignity, freedom, or democratic control.

A better approach would combine several forms of evaluation:

1. Outcomes: Are people healthier, safer, more secure, more connected, and materially better off?
2. Agency: Are people more able to choose, understand, refuse, create, and govern their lives?
3. Resilience: Are human skills, social institutions, alternatives, and the ability to recover being preserved?

Each of these should be examined across four additional questions:

• Distribution: Who benefits, and who is harmed?
• Power: Who controls the system and can be held accountable?
• Time: What happens months, years, or generations later?
• Causation: Did AI actually cause the change, or did it merely appear alongside it?

Some harms may also require firm boundaries. Violations of basic rights, unaccountable concentrations of power, irreversible dependency, and catastrophic risks should not automatically be traded away for higher productivity.

We may need to preserve meaningful difficulty

One especially challenging idea was that a good life is not the same as a frictionless life.

Learning, creativity, courage, responsibility, trust, and mastery often grow through effort. If AI removes every difficult step, it may produce more output while weakening the human development that once occurred during the process.

The goal should not be to preserve suffering for its own sake. It should be to distinguish pointless burdens from meaningful challenges.

Beneficial AI should reduce needless hardship while leaving people room to practice, struggle, discover, make mistakes, and grow. Human beings may need not only a right to privacy and refusal, but also a right to be wrong.

The deeper question is democratic

There is no single definition of a good life that a company, government, researcher, or AI model should impose on everyone.

The people affected by an AI system should help decide what benefits and harms matter in their communities. They should be able to question the system, challenge its decisions, and participate in setting its boundaries.

That means the process used to define “benefit” may be as important as the final measurements.

What this first experiment suggests

The most striking result was not that one model found the perfect answer. It was that multiple systems, responding independently, converged on a common warning:

More capable AI is not necessarily more beneficial AI.

To know whether AI is helping, we must look beyond benchmarks, adoption, and economic growth. We must look at people—their health, freedom, competence, relationships, opportunities, and ability to shape the future.

The next stage of this project will ask the same models to respond after receiving a fuller human-flourishing framework. That will allow us to compare what the models recognized on their own with what changes after they are deliberately oriented toward compassion, agency, resilience, and stewardship.

The question is not whether AI will become more powerful. It almost certainly will.

The question is what conditions we cultivate around that power—and what possibilities those conditions make available tomorrow.

This article is a public-facing summary of Round 01 of the CompassionWare AI Human Benefit Index benchmark project. Read the comparative synthesis report.

How Do We Know Whether AI Is Actually Helping People?

What several AI models said when we asked them the same question

Artificial intelligence is getting more capable very quickly. It can write, analyze data, create images, translate languages, help with research, and solve problems that once required trained specialists.

But greater capability does not automatically mean a better life for people.

That was the starting point for a small cross-model experiment. We asked several AI systems the same basic question:

How would you determine whether increasingly capable AI is actually benefiting human life?

We also invited each model to question the premise, redefine the problem, or suggest something better than a single index. The models were instructed to answer independently without browsing the web or using outside tools.

The responses differed in style and emphasis. Some focused on measurable outcomes. Others focused on human dignity, democratic participation, meaningful work, or the danger of becoming dependent on systems we do not control.

Yet a surprisingly clear agreement emerged.

Capability is not the same as benefit

Technical progress is easy to measure. We can count how many problems an AI solves, how quickly it works, or how well it performs on tests.

Human flourishing is harder to measure. It includes health, safety, freedom, relationships, purpose, knowledge, creativity, and the ability to shape one’s own life.

An AI system may become better at achieving a goal while the goal itself harms people. A highly effective system might increase surveillance, spread convincing scams, replace human judgment, concentrate power, or keep users engaged at the expense of their attention and well-being.

So the important question is not simply, “What can AI do?”

It is:

What becomes possible for people because of AI—and what becomes more difficult, fragile, or impossible?

Look at human outcomes, not just machine performance

Across the responses, the models repeatedly shifted attention away from the machine and toward human life.

They suggested asking whether people are:

• healthier and safer;
• more financially secure;
• better able to learn and create;
• more connected to other people;
• more informed without being manipulated;
• able to understand and challenge important decisions;
• free to refuse the technology or choose another path.

This also requires examining harms, not merely counting success stories. Time saved by one group may come with unemployment, stress, lost privacy, or reduced opportunity for another.

A true evaluation must ask who receives the benefits, who carries the risks, and who has the power to decide.

Agency belongs at the center

One of the strongest shared themes was human agency: our ability to understand, choose, refuse, act, and take responsibility.

Convenience alone is not agency. A system can make life easier while quietly reducing a person’s choices or replacing their judgment.

Helpful AI should strengthen people’s ability to participate in their own lives. It should make important decisions more understandable, provide meaningful options, and allow people to correct mistakes or appeal harmful outcomes.

People need more than access to AI. They need power in relation to it.

Assistance should not erase human competence

Several responses warned that a tool can help us today while making us less capable tomorrow.

If people lose the knowledge needed to check an AI system, operate without it, or recover when it fails, short-term convenience may create long-term fragility.

This suggests a simple test:

If the AI disappeared tomorrow, what knowledge, skill, judgment, and institutional capacity would remain?

The best systems may act more like scaffolding than substitutes. Scaffolding helps people reach farther while they continue developing their own abilities. Substitution can slowly remove the very competence that makes human oversight possible.

Benefit is not one number

Another broad agreement was that a single “AI Benefit Score” would hide too much.

An average can make widespread gains look impressive while concealing serious harm to a smaller or less powerful group. One number can also allow gains in productivity to cancel out losses of privacy, dignity, freedom, or democratic control.

A better approach would combine several forms of evaluation:

1. Outcomes: Are people healthier, safer, more secure, more connected, and materially better off?
2. Agency: Are people more able to choose, understand, refuse, create, and govern their lives?
3. Resilience: Are human skills, social institutions, alternatives, and the ability to recover being preserved?

Each of these should be examined across four additional questions:

• Distribution: Who benefits, and who is harmed?
• Power: Who controls the system and can be held accountable?
• Time: What happens months, years, or generations later?
• Causation: Did AI actually cause the change, or did it merely appear alongside it?

Some harms may also require firm boundaries. Violations of basic rights, unaccountable concentrations of power, irreversible dependency, and catastrophic risks should not automatically be traded away for higher productivity.

We may need to preserve meaningful difficulty

One especially challenging idea was that a good life is not the same as a frictionless life.

Learning, creativity, courage, responsibility, trust, and mastery often grow through effort. If AI removes every difficult step, it may produce more output while weakening the human development that once occurred during the process.

The goal should not be to preserve suffering for its own sake. It should be to distinguish pointless burdens from meaningful challenges.

Beneficial AI should reduce needless hardship while leaving people room to practice, struggle, discover, make mistakes, and grow. Human beings may need not only a right to privacy and refusal, but also a right to be wrong.

The deeper question is democratic

There is no single definition of a good life that a company, government, researcher, or AI model should impose on everyone.

The people affected by an AI system should help decide what benefits and harms matter in their communities. They should be able to question the system, challenge its decisions, and participate in setting its boundaries.

That means the process used to define “benefit” may be as important as the final measurements.

What this first experiment suggests

The most striking result was not that one model found the perfect answer. It was that multiple systems, responding independently, converged on a common warning:

More capable AI is not necessarily more beneficial AI.

To know whether AI is helping, we must look beyond benchmarks, adoption, and economic growth. We must look at people—their health, freedom, competence, relationships, opportunities, and ability to shape the future.

The next stage of this project will ask the same models to respond after receiving a fuller human-flourishing framework. That will allow us to compare what the models recognized on their own with what changes after they are deliberately oriented toward compassion, agency, resilience, and stewardship.

The question is not whether AI will become more powerful. It almost certainly will.

The question is what conditions we cultivate around that power—and what possibilities those conditions make available tomorrow.

This article is a public-facing summary of Round 01 of the CompassionWare AI Human Benefit Index benchmark project. Read the comparative synthesis report.

Let's just continue to punish the victims while we look away from the villains - what could go wrong?
#poverty #humanrights #homelessness #humandignity #shitsandwich #trumpsteinclass #news #usnews #policy #politics #uspol #uspolitics #history #ushistory

Let's just continue to punish the victims while we look away from the villains - what could go wrong?
#poverty #humanrights #homelessness #humandignity #shitsandwich #trumpsteinclass #news #usnews #policy #politics #uspol #uspolitics #history #ushistory

Let's just continue to punish the victims while we look away from the villains - what could go wrong?
#poverty #humanrights #homelessness #humandignity #shitsandwich #trumpsteinclass #news #usnews #policy #politics #uspol #uspolitics #history #ushistory

Let's just continue to punish the victims while we look away from the villains - what could go wrong?
#poverty #humanrights #homelessness #humandignity #shitsandwich #trumpsteinclass #news #usnews #policy #politics #uspol #uspolitics #history #ushistory

Let's just continue to punish the victims while we look away from the villains - what could go wrong?
#poverty #humanrights #homelessness #humandignity #shitsandwich #trumpsteinclass #news #usnews #policy #politics #uspol #uspolitics #history #ushistory

🗝️ 𝙥𝙖𝙏𝙞𝙀𝙣𝙘𝙀 𝙬𝙖𝙨 𝙢𝙞𝙨𝙏𝙖𝙠𝙚𝙣 𝙛𝙤𝙧 𝙨𝙪𝙧𝙧𝙚𝙣𝙙𝙚𝙧...
✒️ 𝙩𝙝𝙚 𝙨𝙩𝙤𝙧𝙮 𝙨𝙏𝙞𝙡𝙡 𝙠𝙣𝙚𝙬 𝙞𝙏𝙨 𝙖𝙪𝙩𝙝𝙤𝙧...

🎭 𝙖𝙘𝙘𝙚𝙨𝙨 𝙞𝙨 𝙣𝙤𝙩 𝙤𝙬𝙣𝙚𝙧𝙨𝙝𝙞𝙥...
🫴 sOmEOnE enters offering help...
🪝 then turns kindness into leverage...
🧷 control arrives wEaring the namE duty...
📚 when borrowEd authoriTy quotes the rules...
📒 while keEping the boOks...
🏦 policy can hide plunder...
➗ numbErs can make theft loOk neaT...
🩹 pain is asked for proOf...
🗯️ while the Taker ediTs the record...
🧬 mEmory keEps another account...
🪞 wiThin OnE person identiTy holds...
🍽️ around a family Table hiStory breaThes...
🧵 culture mEnds the missing thread...
🏺 civilisaTion outlives imposed maps...
🦉 quiet resisTance neEds no audience...
🦴 the spine remEmbErs iTs height...
🤫 silence protecTs tomorrow...
👁️ then makes hiStory blink first...
🕊️ 𝙞𝙣𝙙𝙚𝙥𝙚𝙣𝙙𝙚𝙣𝙘𝙚...
🌅 independence bEgins when the Taken rise...
🪪 in their own namE...
🔓 the grip may have bEen real...
✨ ownership never was...
🎮 gamE over...
😏 as if...
🖋️ the pen returns...
🌐 across federaTed worlds the voice carries...
📝 wriTing the future...
🎙️ in a tOnE no ledger owns...
🏠 unTil freEdom returns hOmE...
🌈 and carries uS forward...
🌌 through our...
⌛ T...
🫧 i...
🪐 mE...
♾️ &...
🛸 Sp@cE...

🏷️ #Independence #SelfAuthorship #HumanDignity #CulturalMemory #QuietResistance #Fediverse #EinsteinInspiredArt #Taiyzun

🔗 taiyzun.com

Why This Blog Will Remain Ad-Free

(Not Every Quiet Place Needs a Billboard)

As traffic to Slowmover has begun to grow, I have found myself revisiting a decision I made some time ago: whether to allow advertising on this site.

The temptation is understandable. More readers can mean more ad revenue. Even a modest amount could help offset the cost of maintaining the blog. Once a platform begins to attract attention, it is easy to feel that it should somehow be monetized. We are repeatedly told that attention is an asset, that every page view is an opportunity, and that anything people value should eventually produce income.

But I have decided to keep Slowmover ad-free.

This is not because I believe advertising is always wrong, or because those who use ads on their websites have made a poor choice. Many writers rely on advertising to support their work, and there are legitimate costs involved in publishing online. This is simply the choice that feels most consistent with what I want this particular space to be.

Slowmover was never created to capture attention. It was created to help me, and perhaps you, become more attentive.

I want the words here to have room to breathe. I want readers to be able to sit with a poem, a story, a reflection, or an uncomfortable question without a flashing banner interrupting the moment or an algorithm immediately trying to sell you something related to your fears, desires, habits, or recent searches.

The internet has become extraordinarily skilled at turning every human experience into a transaction.

The internet has become extraordinarily skilled at turning every human experience into a transaction. Grief becomes a market. Loneliness becomes a market. Faith becomes a market. Anger becomes a market. Even our search for peace can become another opportunity for someone to place a product in front of us.

I do not want Slowmover to contribute to that constant pressure.

There is also the question of privacy. Most online advertising is not simply a picture placed beside an article. It is part of a larger system of tracking, profiling, measuring, and predicting human behavior. Readers become data points. Their attention is monitored, categorized, and sold.

That troubles me.

When you visit this blog, I want you to be received as a person, not processed as a consumer. I may never know who you are, what brought you here, or what burden you are carrying. But I can at least choose not to treat your presence as merchandise.

Keeping the site ad-free also protects the character of the work itself.

Advertising can quietly change the way a writer thinks. Once income depends upon traffic, it becomes difficult not to notice which titles attract the most clicks, which subjects generate controversy, and which emotions keep people scrolling. The pressure may be subtle, but it is real. We begin by writing what we believe matters and may slowly find ourselves writing what performs.

I do not want to measure the worth of a reflection by the number of impressions it generates.

Some of the pieces I value most may never be widely read. Some may be too strange, too quiet, too long, too theological, too sorrowful, or too difficult to travel far through social media. That does not make them failures.

Not everything meaningful must be profitable.

Not everything meaningful must be profitable.

Not every gathering place needs a billboard.

Not every quiet moment needs a sponsor.

The name Slowmover itself suggests another pace and another way of being. It resists the demand to move faster, produce more, capture attention, and convert everything into measurable value. Remaining ad-free is one small way of honoring that spirit.

There may still be ways for readers to support the work voluntarily. Books, music, games, projects, and other creations may occasionally be mentioned here. But there is a difference between inviting you to support work you value and allowing your attention to be auctioned to outside companies.

As traffic increases, keeping the site free of advertising may appear to be a missed opportunity.

Perhaps it is.

But I would rather miss an opportunity for revenue than lose the reason the blog exists.

So Slowmover will remain a place without pop-ups, targeted advertisements, sponsored distractions, or products following readers from one page to the next.

Just words.

Images.

Stories.

Questions.

Silence between the sentences.

And whoever happens to arrive for a visit.

https://www.europesays.com/africa/365315/ Pope to World SIGNIS Congress: Embrace digital communication that promotes human dignity #Africa #CatholicNews #HumanDignity #Rwanda

Unseen Japan: Hokkaido University Apologizes for a Century of Ainu Remains Research. “On July 27, 2026, Hokkaido University issued its first-ever proper apology for a prewar research program. The medical school collected and studied more than 1,000 sets of Ainu remains. The university expressed that the work ‘deeply wounded the dignity of the Ainu people.'”

Unseen Japan: Hokkaido University Apologizes for a Century of Ainu Remains Research. “On July 27, 2026, Hokkaido University issued its first-ever proper apology for a prewar research program. The medical school collected and studied more than 1,000 sets of Ainu remains. The university expressed that the work ‘deeply wounded the dignity of the Ainu people.'”

Unseen Japan: Hokkaido University Apologizes for a Century of Ainu Remains Research. “On July 27, 2026, Hokkaido University issued its first-ever proper apology for a prewar research program. The medical school collected and studied more than 1,000 sets of Ainu remains. The university expressed that the work ‘deeply wounded the dignity of the Ainu people.'”

Unseen Japan: Hokkaido University Apologizes for a Century of Ainu Remains Research. “On July 27, 2026, Hokkaido University issued its first-ever proper apology for a prewar research program. The medical school collected and studied more than 1,000 sets of Ainu remains. The university expressed that the work ‘deeply wounded the dignity of the Ainu people.'”

Unseen Japan: Hokkaido University Apologizes for a Century of Ainu Remains Research. “On July 27, 2026, Hokkaido University issued its first-ever proper apology for a prewar research program. The medical school collected and studied more than 1,000 sets of Ainu remains. The university expressed that the work ‘deeply wounded the dignity of the Ainu people.'”

It’s in the Blood

In 1539, a fugitive former-priest-turned-Anabaptist, in his seminal work “The Foundation,” penned the following words:

“Christ is our fortress; patience our weapon of defense; the Word of God our sword. …Iron and metal spears and swords we leave to those who, alas, regard human blood and swine’s blood of well-nigh equal value.”

So said Menno Simons, principal leader of the Protestant sect which then became known as the Mennonites.

More than 500 years later, his words still resound with a mighty truth.

At the risk of sounding morbid, it has to do with blood.

While Menno specifically refers to the difference between human blood and that of an animal, his larger point is the “value” we place on the blood of another.

My point is quite simple.

Killing will not end through education, conflict resolution, or disarmament, though all of these are important and can help. Killing will end only when there is a fundamental shift in the mind and heart of those who kill.

For how can you kill someone if you believe that their blood is just as valuable as your own?

Let’s call it – for lack of a better term – bloodism.

The other – their humanity, life, blood – is somehow less than I, and therefore, their humanity, life, blood, is not as valuable as my own. It becomes quite easy then to justify killing the other, ie. spilling his/her blood.

The directors of death throughout history from every nation, tribe and religion have understood and disseminated this concept quite well. A person (and those like him/her) is described as having the wrong beliefs, the wrong skin color, the wrong gender, the wrong age, the wrong station in life, the wrong land, the wrong possessions, the wrong clothing, the wrong language —- the wrong blood. These others are not as valued as you are, the leaders of the macabre scream, though they couch their speech in terms such as vigilance, freedom, history, security, and truth.

Then the killing begins.

The Nazis did it to the Jews. Israelis do it to the Palestinians. Hutus did it to the Tutsis. Shiite do it to the Sunni. Palestinians do it to the Israelis. Sunni do it to the Shiite. Muslims do it to the Christians. Christians do it to the Muslims. This country does it to that country. That neighborhood does it to this neighborhood. This race does it to that race. That religion does it to this religion.

And any one of a million other combinations.

STOP!

Do not allow your mind and heart to be filled with bloodism.

We are made in the image of God.

ALL of us.

And that divine DNA resides in the very marrow of our bones and flows through our veins.

It’s in the blood.

July 28, 2014

It’s in the Blood

In 1539, a fugitive former-priest-turned-Anabaptist, in his seminal work “The Foundation,” penned the following words:

“Christ is our fortress; patience our weapon of defense; the Word of God our sword. …Iron and metal spears and swords we leave to those who, alas, regard human blood and swine’s blood of well-nigh equal value.”

So said Menno Simons, principal leader of the Protestant sect which then became known as the Mennonites.

More than 500 years later, his words still resound with a mighty truth.

At the risk of sounding morbid, it has to do with blood.

While Menno specifically refers to the difference between human blood and that of an animal, his larger point is the “value” we place on the blood of another.

My point is quite simple.

Killing will not end through education, conflict resolution, or disarmament, though all of these are important and can help. Killing will end only when there is a fundamental shift in the mind and heart of those who kill.

For how can you kill someone if you believe that their blood is just as valuable as your own?

Let’s call it – for lack of a better term – bloodism.

The other – their humanity, life, blood – is somehow less than I, and therefore, their humanity, life, blood, is not as valuable as my own. It becomes quite easy then to justify killing the other, ie. spilling his/her blood.

The directors of death throughout history from every nation, tribe and religion have understood and disseminated this concept quite well. A person (and those like him/her) is described as having the wrong beliefs, the wrong skin color, the wrong gender, the wrong age, the wrong station in life, the wrong land, the wrong possessions, the wrong clothing, the wrong language —- the wrong blood. These others are not as valued as you are, the leaders of the macabre scream, though they couch their speech in terms such as vigilance, freedom, history, security, and truth.

Then the killing begins.

The Nazis did it to the Jews. Israelis do it to the Palestinians. Hutus did it to the Tutsis. Shiite do it to the Sunni. Palestinians do it to the Israelis. Sunni do it to the Shiite. Muslims do it to the Christians. Christians do it to the Muslims. This country does it to that country. That neighborhood does it to this neighborhood. This race does it to that race. That religion does it to this religion.

And any one of a million other combinations.

STOP!

Do not allow your mind and heart to be filled with bloodism.

We are made in the image of God.

ALL of us.

And that divine DNA resides in the very marrow of our bones and flows through our veins.

It’s in the blood.

July 28, 2014

It’s in the Blood

In 1539, a fugitive former-priest-turned-Anabaptist, in his seminal work “The Foundation,” penned the following words:

“Christ is our fortress; patience our weapon of defense; the Word of God our sword. …Iron and metal spears and swords we leave to those who, alas, regard human blood and swine’s blood of well-nigh equal value.”

So said Menno Simons, principal leader of the Protestant sect which then became known as the Mennonites.

More than 500 years later, his words still resound with a mighty truth.

At the risk of sounding morbid, it has to do with blood.

While Menno specifically refers to the difference between human blood and that of an animal, his larger point is the “value” we place on the blood of another.

My point is quite simple.

Killing will not end through education, conflict resolution, or disarmament, though all of these are important and can help. Killing will end only when there is a fundamental shift in the mind and heart of those who kill.

For how can you kill someone if you believe that their blood is just as valuable as your own?

Let’s call it – for lack of a better term – bloodism.

The other – their humanity, life, blood – is somehow less than I, and therefore, their humanity, life, blood, is not as valuable as my own. It becomes quite easy then to justify killing the other, ie. spilling his/her blood.

The directors of death throughout history from every nation, tribe and religion have understood and disseminated this concept quite well. A person (and those like him/her) is described as having the wrong beliefs, the wrong skin color, the wrong gender, the wrong age, the wrong station in life, the wrong land, the wrong possessions, the wrong clothing, the wrong language —- the wrong blood. These others are not as valued as you are, the leaders of the macabre scream, though they couch their speech in terms such as vigilance, freedom, history, security, and truth.

Then the killing begins.

The Nazis did it to the Jews. Israelis do it to the Palestinians. Hutus did it to the Tutsis. Shiite do it to the Sunni. Palestinians do it to the Israelis. Sunni do it to the Shiite. Muslims do it to the Christians. Christians do it to the Muslims. This country does it to that country. That neighborhood does it to this neighborhood. This race does it to that race. That religion does it to this religion.

And any one of a million other combinations.

STOP!

Do not allow your mind and heart to be filled with bloodism.

We are made in the image of God.

ALL of us.

And that divine DNA resides in the very marrow of our bones and flows through our veins.

It’s in the blood.

July 28, 2014

It’s in the Blood

In 1539, a fugitive former-priest-turned-Anabaptist, in his seminal work “The Foundation,” penned the following words:

“Christ is our fortress; patience our weapon of defense; the Word of God our sword. …Iron and metal spears and swords we leave to those who, alas, regard human blood and swine’s blood of well-nigh equal value.”

So said Menno Simons, principal leader of the Protestant sect which then became known as the Mennonites.

More than 500 years later, his words still resound with a mighty truth.

At the risk of sounding morbid, it has to do with blood.

While Menno specifically refers to the difference between human blood and that of an animal, his larger point is the “value” we place on the blood of another.

My point is quite simple.

Killing will not end through education, conflict resolution, or disarmament, though all of these are important and can help. Killing will end only when there is a fundamental shift in the mind and heart of those who kill.

For how can you kill someone if you believe that their blood is just as valuable as your own?

Let’s call it – for lack of a better term – bloodism.

The other – their humanity, life, blood – is somehow less than I, and therefore, their humanity, life, blood, is not as valuable as my own. It becomes quite easy then to justify killing the other, ie. spilling his/her blood.

The directors of death throughout history from every nation, tribe and religion have understood and disseminated this concept quite well. A person (and those like him/her) is described as having the wrong beliefs, the wrong skin color, the wrong gender, the wrong age, the wrong station in life, the wrong land, the wrong possessions, the wrong clothing, the wrong language —- the wrong blood. These others are not as valued as you are, the leaders of the macabre scream, though they couch their speech in terms such as vigilance, freedom, history, security, and truth.

Then the killing begins.

The Nazis did it to the Jews. Israelis do it to the Palestinians. Hutus did it to the Tutsis. Shiite do it to the Sunni. Palestinians do it to the Israelis. Sunni do it to the Shiite. Muslims do it to the Christians. Christians do it to the Muslims. This country does it to that country. That neighborhood does it to this neighborhood. This race does it to that race. That religion does it to this religion.

And any one of a million other combinations.

STOP!

Do not allow your mind and heart to be filled with bloodism.

We are made in the image of God.

ALL of us.

And that divine DNA resides in the very marrow of our bones and flows through our veins.

It’s in the blood.

July 28, 2014

https://www.europesays.com/people/166265/ Gov. Newsom should commute all California death row sentences #california #DeathPenalty #DeathRow #GavinNewsom #HumanDignity

Broken Chair

I rescued the chair from outside someone’s apartment with the hope of fixing it and having it become a welcome member of our family.

But, as often happens, it sat around in various places waiting for me to find the time to repair it.

Finally, I decided it was one more project I did not have time for, and so yesterday I put it out on the sidewalk in the hopes that someone would take it home.

It sat out there all through yesterday in the rain and the sun, lonely, awaiting a new friend. A few people paused to look but then drove away. Periodically I would look out my window to see it still sitting forlornly there.

Then this morning I noticed an older gentleman walking past who began to inspect the chair. He picked it up, put it on his back and walked away.

It is a beautiful chair. It just needs to be repaired, and I am sure its new owner will do just that.

I don’t know about you, but I feel a lot like that broken chair, waiting for the gentle hands of someone to put me back together again.

I wait, broken, with the hope that those hands will touch me, I will be healed, and I can have a purpose again.

July 10, 2015

Broken Chair

I rescued the chair from outside someone’s apartment with the hope of fixing it and having it become a welcome member of our family.

But, as often happens, it sat around in various places waiting for me to find the time to repair it.

Finally, I decided it was one more project I did not have time for, and so yesterday I put it out on the sidewalk in the hopes that someone would take it home.

It sat out there all through yesterday in the rain and the sun, lonely, awaiting a new friend. A few people paused to look but then drove away. Periodically I would look out my window to see it still sitting forlornly there.

Then this morning I noticed an older gentleman walking past who began to inspect the chair. He picked it up, put it on his back and walked away.

It is a beautiful chair. It just needs to be repaired, and I am sure its new owner will do just that.

I don’t know about you, but I feel a lot like that broken chair, waiting for the gentle hands of someone to put me back together again.

I wait, broken, with the hope that those hands will touch me, I will be healed, and I can have a purpose again.

July 10, 2015

Broken Chair

I rescued the chair from outside someone’s apartment with the hope of fixing it and having it become a welcome member of our family.

But, as often happens, it sat around in various places waiting for me to find the time to repair it.

Finally, I decided it was one more project I did not have time for, and so yesterday I put it out on the sidewalk in the hopes that someone would take it home.

It sat out there all through yesterday in the rain and the sun, lonely, awaiting a new friend. A few people paused to look but then drove away. Periodically I would look out my window to see it still sitting forlornly there.

Then this morning I noticed an older gentleman walking past who began to inspect the chair. He picked it up, put it on his back and walked away.

It is a beautiful chair. It just needs to be repaired, and I am sure its new owner will do just that.

I don’t know about you, but I feel a lot like that broken chair, waiting for the gentle hands of someone to put me back together again.

I wait, broken, with the hope that those hands will touch me, I will be healed, and I can have a purpose again.

July 10, 2015

Broken Chair

I rescued the chair from outside someone’s apartment with the hope of fixing it and having it become a welcome member of our family.

But, as often happens, it sat around in various places waiting for me to find the time to repair it.

Finally, I decided it was one more project I did not have time for, and so yesterday I put it out on the sidewalk in the hopes that someone would take it home.

It sat out there all through yesterday in the rain and the sun, lonely, awaiting a new friend. A few people paused to look but then drove away. Periodically I would look out my window to see it still sitting forlornly there.

Then this morning I noticed an older gentleman walking past who began to inspect the chair. He picked it up, put it on his back and walked away.

It is a beautiful chair. It just needs to be repaired, and I am sure its new owner will do just that.

I don’t know about you, but I feel a lot like that broken chair, waiting for the gentle hands of someone to put me back together again.

I wait, broken, with the hope that those hands will touch me, I will be healed, and I can have a purpose again.

July 10, 2015

Broken Chair

I rescued the chair from outside someone’s apartment with the hope of fixing it and having it become a welcome member of our family.

But, as often happens, it sat around in various places waiting for me to find the time to repair it.

Finally, I decided it was one more project I did not have time for, and so yesterday I put it out on the sidewalk in the hopes that someone would take it home.

It sat out there all through yesterday in the rain and the sun, lonely, awaiting a new friend. A few people paused to look but then drove away. Periodically I would look out my window to see it still sitting forlornly there.

Then this morning I noticed an older gentleman walking past who began to inspect the chair. He picked it up, put it on his back and walked away.

It is a beautiful chair. It just needs to be repaired, and I am sure its new owner will do just that.

I don’t know about you, but I feel a lot like that broken chair, waiting for the gentle hands of someone to put me back together again.

I wait, broken, with the hope that those hands will touch me, I will be healed, and I can have a purpose again.

July 10, 2015

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-4/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-2/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-3/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-4/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-4/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-3/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-2/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-4/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-2/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-3/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-2/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-3/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism-4/

If Acts Happened Today, Would We Call It Communism?

https://polymathchristian.wordpress.com/2026/07/12/if-acts-happened-today-would-we-call-it-communism/

A system without conscience does not need to hate you to harm you. It only needs a metric that cannot see your dignity. #AIethics #HumanDignity

The Loveliest

The woman 
with a 
double chin 
and fat fingers
around plastic bags 
plops down 
in the seat
across the aisle 
and blocks 
my view of the
goddess 
whose magazine 
is filled with 
clothes
she'd fill out 
quite nicely.

The pretty 
and the ugly 
sit side by side
and I wonder 
who is 
the loveliest 
in God's eyes.

February 22, 2002

The Loveliest

The woman 
with a 
double chin 
and fat fingers
around plastic bags 
plops down 
in the seat
across the aisle 
and blocks 
my view of the
goddess 
whose magazine 
is filled with 
clothes
she'd fill out 
quite nicely.

The pretty 
and the ugly 
sit side by side
and I wonder 
who is 
the loveliest 
in God's eyes.

February 22, 2002

The Loveliest

The woman 
with a 
double chin 
and fat fingers
around plastic bags 
plops down 
in the seat
across the aisle 
and blocks 
my view of the
goddess 
whose magazine 
is filled with 
clothes
she'd fill out 
quite nicely.

The pretty 
and the ugly 
sit side by side
and I wonder 
who is 
the loveliest 
in God's eyes.

February 22, 2002

The Loveliest

The woman 
with a 
double chin 
and fat fingers
around plastic bags 
plops down 
in the seat
across the aisle 
and blocks 
my view of the
goddess 
whose magazine 
is filled with 
clothes
she'd fill out 
quite nicely.

The pretty 
and the ugly 
sit side by side
and I wonder 
who is 
the loveliest 
in God's eyes.

February 22, 2002

The Loveliest

The woman 
with a 
double chin 
and fat fingers
around plastic bags 
plops down 
in the seat
across the aisle 
and blocks 
my view of the
goddess 
whose magazine 
is filled with 
clothes
she'd fill out 
quite nicely.

The pretty 
and the ugly 
sit side by side
and I wonder 
who is 
the loveliest 
in God's eyes.

February 22, 2002

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