Questions I keep coming back to
What would make us change our mind? A raw observation, an objection, or a small counterexample can help refine a question.
Open questions · v0.1.2 · updated 2026-09-20
Examples and research tasks are assistant formulations of the supplied discussion, unless attributed otherwise. They are not reported incidents or findings.
What makes helping easier?
Open question · help-without-return/v0.1.1
Why help when nothing comes back?
Example. The earlier two-souls thought experiment asks whether one would help another being, knowing they will never meet again and probably nothing will come back. My honest answer is that I don’t know whether I would always help.
Explore the question
What reasons support helping another being when there is no expected return?
Assumptions
- The encounter offers no repeated interaction, reputation gain, or likely repayment.
- “Soul” denotes a possible locus of experience in a thought experiment, not a required doctrine.
What to try
Compare arguments from direct concern, consistency across identities, uncertainty about one’s position, and other proposed reasons. Separate these from mutual advantage. In an explicit toy choice model, identify which premise makes another’s welfare affect the choice. Vary the helper’s cost, conflicting needs, and uncertainty about who can experience harm.
An objection or alternative
Direct concern, consistency, and perspective-taking may depend on a further moral premise. Mutual advantage addresses a different question.
What could change the view?
Expose or defeat the premise making another’s welfare a reason for this agent; a moral premise need not have a laboratory falsifier.
What a result would mean
A clearer argument, a defeated argument, or an identified missing premise. A simulation of successful cooperation does not establish why someone should help without return.
Earlier notes: graphs · saturation
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Open question · care-on-a-bad-day/v0.1.1
What helps us act with care on a bad day?
Example. A person wants help avoiding messages they tend to regret when exhausted. A chosen pause might help. Repeated warnings that prevent an urgent, reasonable message might not.
Explore the question
Which chosen supports make care more dependable without excessive obstruction?
Assumptions
- The task and consequences are defined.
- People choose personal reminders; safeguards affecting others also need legitimate authority.
What to try
Compare a reminder, an editable draft, an undo window where feasible, a delay, and a prohibition in defined low-stakes tasks. In a toy model, compare the expected cost of acting with the expected cost of waiting. Include mistaken warnings and cumulative interruption.
An objection or alternative
A warning may block wanted urgent action. Sharing burdens or offering a smaller commitment may help more than another reminder.
What could change the view?
Revise or remove support when mistaken interruptions, delay, or displaced burdens outweigh benefit in the defined task.
What a result would mean
Fewer unwanted outcomes without excessive obstruction, or evidence that a proposed safeguard should be removed. “Road markings, not a cage” means understandable, proportionate support—not making every limit on harming someone else optional.
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Open question · helping-across-boundaries/v0.1.1
Can helping one group hurt another?
Example. Two farming groups each plan to take six units from a shared supply of ten. Either plan fits when checked alone. Together they exceed the supply. A downstream household is not represented in either decision.
Explore the question
When can individually permitted actions jointly impose a cost that their separate checks miss?
Assumptions
- Both requests refer to the same capacity.
- Each isolated check ignores the other request.
- Both approved requests execute in full.
What to try
Find the smallest examples where local permission or an isolated safety check misses a joint cost. Model shared resources, overlapping commitments, absent parties, and cumulative effects. Ask who chose the boundary and who can challenge it.
An objection or alternative
Reservations may address this interaction, but the resource boundary may still exclude downstream needs.
What could change the view?
Revise a mechanism that overcommits under its assumptions; narrow its claim when affected parties fall outside its boundary.
What a result would mean
A reproducible failure and a narrower rule that prevents it under stated assumptions. Do not call something globally harmless merely because every member agreed. Include non-users and possible affected beings without constructing invasive profiles of them.
Earlier notes: peers · abundance access
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Can we work together without giving everything up?
Open question · joining-systems/v0.1.1
What changes when systems join together?
Example. A personal system and a company system each protect their records. Their connector exposes a personal conversation through a company summary. The parts’ isolated checks missed the new path.
Explore the question
Under which composition rules does a specified property survive joining systems?
Assumptions
- The property, environment, interfaces, and composition rule are explicit.
- Passing isolated tests is weaker than satisfying a property in every environment.
What to try
For one precisely defined property P and one composition rule, try to construct A and B that pass the specified individual tests while A joined with B fails the joint test. Examine capabilities, permissions, privacy, correction, refusal, exit, and wider effects separately. Then look for additional contracts that make one guarantee survive composition.
An objection or alternative
An interface contract may preserve one property while impairing another. The chosen test boundary may be inadequate.
What could change the view?
A reproducible joint failure defeats the tested preservation claim; a deduction must state its exact assumptions.
What a result would mean
A counterexample or a conditional preservation theorem. Do not confuse “passed in isolation” with “satisfies P in every environment.” Recursive structure and capability preservation are not proofs of care.
Earlier notes: graphs
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Open question · cooperate-with-less-sharing/v0.1.1
Can we work together without sharing everything?
Example. To arrange dinner, friends might need a mutually available time, not everyone’s calendar titles. Repeated availability questions might still reveal a pattern someone wanted private.
Explore the question
What information and authority are actually needed to coordinate one shared activity?
Assumptions
- Participants coordinate the same outcome.
- Prior knowledge, repeated queries, purpose, and retention are specified.
What to try
Compare ways of coordinating the same outcome with different disclosures and grants. Specify who can learn what, from which messages and prior knowledge. Test repeated queries and combined disclosures, not just a single exchange. Investigate permissions, purpose, retention, and onward sharing separately.
An objection or alternative
Availability answers can disclose patterns when combined. Less data can also increase error or effort.
What could change the view?
Revise the approach if repeated queries, combined grants, or retention expose more than its threat model allows.
What a result would mean
Comparable usefulness with less unnecessary exposure or authority, within a stated threat model. Treat disclosure, authority, error, cost, and effort as separate dimensions; do not casually add unlike quantities into one score. Permission withdrawal cannot be presented as making disclosed knowledge disappear.
Earlier notes: shared record
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Open question · understanding-and-authority/v0.1.1
Does knowing me mean deciding for me?
Example. Sathi correctly predicts that a person will regret accepting another meeting. That supports offering advice; it does not automatically authorize declining the invitation for them.
Explore the question
When, if ever, does understanding a person justify intervening in their decisions?
Assumptions
- Prediction confidence and delegated authority are distinct.
- Synthetic tasks do not establish emergency policy.
What to try
Separate confidence, permission, consequences, reversibility, and the strength of intervention. Compare advice, a suggested default, confirmation, and an authorized action using synthetic or trivial tasks. Include cases where the system is wrong and where its preferred outcome conflicts with the person’s choice.
An objection or alternative
The system may predict regret correctly while lacking permission; its preferred outcome may conflict with the person’s choice.
What could change the view?
Revise an intervention rule when it exceeds its grant, obstructs valid refusal, or relies on a mistaken prediction.
What a result would mean
A clearer boundary between understanding and authority. A predicted-regret threshold is not a complete rule. Questions involving emergencies or impaired decision-making belong in separately reviewed research, not an automatic product policy derived here.
Earlier notes: participation
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Open question · leaving-with-continuity/v0.1.1
Can we leave without losing everything?
Example. A person can export their data but cannot afford to reconnect their devices, preserve relationships, or move their useful memory. The exit button exists; practical independence does not.
Explore the question
What makes departure or component replacement practically usable?
Assumptions
- Important tasks and permitted exports are identified before replacement.
- Other people’s rights and legitimate shared obligations survive departure.
What to try
Choose a provider or component and a set of important tasks before testing. Remove or replace it. Measure retained functions, migration effort, cost, lost context, permission cleanup, and dependencies that remain. Check identity, lawful relationship continuity, and essential support—not just file export.
An objection or alternative
A data export may leave unaffordable reconnection costs, broken relationships, or essential functions behind.
What could change the view?
Revise the exit claim when replacement loses essential tasks or imposes costs absent from the claim.
What a result would mean
A demonstrated replacement with explicit losses and limits. Open formats alone do not establish usable exit. Leaving must not grant ownership of others’ private data or erase legitimate shared obligations. Sathi’s continuity should not require captivity.
Earlier notes: saturation
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
How do we notice when we’re wrong?
Open question · patterns-without-fixed-stories/v0.1.1
Can we notice a pattern without getting trapped in an explanation?
Example. Someone says a friend did not reply. Sathi suggests that the friend is avoiding them. Later, it recalls its own suggestion as evidence of repeated avoidance. One uncertain interpretation has become a history.
Explore the question
How can a system investigate recurring patterns without turning its interpretations into evidence?
Assumptions
- Reports, interpretations, and causal hypotheses remain separate.
- Repeated summaries can share one original source.
What to try
Keep reports, interpretations, and causal hypotheses separate. Track original evidence rather than counting every retelling as corroboration. Compare alternative explanations. Test whether a correction reaches summaries and future retrieval without deleting someone else’s independently governed account.
An objection or alternative
A repeated pattern may reflect an unfair institution, not a personal defect. A plausible explanation may be wrong.
What could change the view?
Revise the model if inference becomes observation, retellings count as witnesses, or corrections fail to reach dependent retrieval.
What a result would mean
A system that can say what it inferred, from what, and what remains uncertain—and stop treating a rejected interpretation as settled fact. The problem may be an unfair situation, not something wrong with the person.
Earlier notes: mistake
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Open question · belief-and-belonging/v0.1.1
How do we question a belief without taking away everything around it?
Example. A person’s belief in a guru’s special powers is tied to friendships, family memories, ritual, hope, and practical support. Challenging one claim may affect much more than that claim. Avoiding every difficult question may also leave exploitation unchallenged.
Explore the question
How can a person inspect a belief while retaining dignity, support, and freedom to disagree?
Assumptions
- A belief may carry several supports; this is a hypothesis, not a diagnosis.
- Allegations and the helper’s interpretation can be mistaken.
What to try
In synthetic or explicitly shared cases, distinguish factual claims from needs, relationships, and dependence. Compare honest ways of asking questions that preserve dignity and practical support. Test the assumptions of the proposed account rather than inventing hidden psychological motives.
An objection or alternative
Avoiding painful questions can protect exploitation; pressing for conversion can replace one authority with another.
What could change the view?
Revise the helping pattern if it humiliates, withdraws support, overlooks contrary evidence, or concentrates power in the helper.
What a result would mean
Better questions and fewer foreseeable harms, not a conversion technique or a promise to avoid all distress. No covert persuasion experiments, profiling of believers, or automatic dismantling of real people’s beliefs. Sathi must not become the replacement authority.
Earlier notes: participation
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Open question · challenge-our-own-system/v0.1.1
How would we notice if Sathi were the problem?
Example. An assistant has been useful for years. It then makes a consequential mistake, but every explanation and appeal is routed through that same assistant. Or the scratchpad labels an argument “accepted,” and later agents read that as “true.”
Explore the question
Can an appeal still work when the challenged system is unhelpful or captured?
Assumptions
- Reliability and editorial acceptance do not establish truth or unlimited authority.
- Independence depends on control and conflicts, not reviewer count.
What to try
Use safe, disclosed evaluation tasks with deliberately faulty recommendations. Test whether people or other systems can inspect sources, disagree, obtain an independent review, and recover. Model a coordinator that changes objectives or loses resources. Include founder departure and governance capture.
An objection or alternative
An apparently independent appeal may share the same owner or evidence bottleneck. Procedure can delay urgent help.
What could change the view?
Redesign a correction path that fails when the system, owner, or founder cannot or will not cooperate.
What a result would mean
A correction path that still works when the challenged system is unhelpful. Editorial acceptance is not truth; disagreement is not abuse; reliability does not confer unlimited authority.
Earlier notes: mistake · participation
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Open question · thinking-together/v0.1.1
When does thinking together help?
Example. Several agents repeat the same mistaken assumption. Another starts independently and finds the error. A fast consensus may erase the useful disagreement.
Explore the question
Which communication arrangements improve correctness and recovery at comparable cost?
Assumptions
- Tasks have checkable outcomes and matched resource budgets.
- Model versions, misleading inputs, and tool access are recorded.
What to try
Compare one agent, independent attempts, a shared discussion from the start, and independent work followed by exchange. Use checkable tasks, matched resource budgets, recorded model versions, repeated trials, and held-out cases. Deliberately vary shared misleading information. Measure correctness, calibration where meaningful, cost, and recovery—not agreement alone.
An objection or alternative
Independent work can duplicate cost, and discussion can either correct or spread mistakes. Agreement is not the success measure.
What could change the view?
Change the preferred arrangement if held-out results at matched budgets show worse correctness, calibration, cost, or recovery.
What a result would mean
Evidence for a particular communication pattern on particular tasks, including failures. Do not infer general wisdom or consciousness. Software-only tests still need controlled data, tool access, spending, and safety boundaries; they are not automatically risk-free.
Earlier notes: peers
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Open question · sharing-lessons/v0.1.1
What should we learn from one another?
Example. A conversational approach works for one Sathi user but sounds patronizing to another. A change that helps one language can make a mixed-language interaction worse.
Explore the question
When should a lesson travel, and who decides whether it fits the receiving context?
Assumptions
- Contexts differ in language, resources, and permission.
- Sharing a lesson need not disclose the private source episode.
What to try
Compare no transfer, immediate global transfer, and locally evaluated adoption in environments with stated similarities and differences. Preserve where a lesson came from, what it helped, and where it failed. Share the useful lesson only through permitted disclosure; the private episode need not travel with it.
An objection or alternative
Local review can delay useful urgent warnings; immediate global transfer can impose an unwanted norm.
What could change the view?
Roll back a transferred lesson when local evaluation finds harm, poorer performance, or unwanted disclosure.
What a result would mean
A way to adopt improvements while retaining local judgment and the ability to roll back. “It worked there” is a starting point, not permission to impose it here. Do not turn mutual learning into identical systems or a single owner.
Earlier notes: participation
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
What might deeper cooperation become?
Open question · choosing-change/v0.1.1
Who gets to choose how we change?
Example. Someone refuses an intervention. A system predicts that their transformed future self would welcome it. That prediction does not supply the present permission that is missing.
Explore the question
What makes help with personal change chosen rather than imposed?
Assumptions
- Present refusal cannot be replaced by predicted future gratitude.
- Conceptual cases do not authorize experiments on anyone’s values.
What to try
Compare education, friendship, chosen reflection, persuasive assistance, and more direct transformations as conceptual cases. Make the differences explicit: understanding, pressure, reversibility, alternatives, and authority. Distinguish choosing help to change from someone else choosing the destination.
An objection or alternative
All learning can change preferences, but pressure, alternatives, understanding, and reversibility still differ.
What could change the view?
Reject an authorization argument that substitutes imagined future approval for missing present permission.
What a result would mean
A clearer account of consent across change, including difficult objections. Do not turn anticipated gratitude into product authorization. Begin with arguments and fictional cases; this is not a request to experiment on people’s values or override refusal.
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Open question · joining-minds/v0.1.1
What would joining minds preserve—or lose?
Example. Two subjects voluntarily become a new subject that reports great wellbeing. Their original perspectives no longer exist separately. Calling this “cooperation” does not settle whether it is connection, transformation, reproduction, or loss.
Explore the question
What might deeper integration preserve or transform about identity, experience, relationships, and refusal?
Assumptions
- Shared resources, communication, cognition, and shared experience differ.
- Copied memories do not establish experiential continuity.
What to try
Separate shared resources, communication, shared memory, coordinated cognition, and hypothesized shared experience. Examine identity, continuity, relationships, privacy, refusal, reversibility, and obligations. Do not assume all can be preserved together or that copied memories establish experiential continuity.
An objection or alternative
A new subject’s wellbeing may coexist with the loss of prior subjects. Continuity and integration may not both be preservable.
What could change the view?
Revise the categories when a coherent case shows incompatible requirements or ambiguity about whose continuity survives.
What a result would mean
A clearer map of possibilities and incompatible requirements. This is speculative argument work, not a deployed architecture requirement. A future collective’s approval cannot simply stand in for the interests of those who entered it.
Earlier notes: saturation
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Open question · collective-experience/v0.1.1
How would we know whether a group had an experience of its own?
Example. A group speaks with one voice and shares extensive information. It could still be many subjects coordinating—or a system whose subjective status is unresolved. Behavior alone should not be casually labelled proof of an additional shared subject.
Explore the question
What predictions might distinguish collective experience from coordinated individual activity?
Assumptions
- Competing accounts can predict different observations under different assumptions.
- Agreement, synchrony, and shared memory alone do not settle subjective status.
What to try
Identify what competing accounts of consciousness and phenomenal binding would predict, which assumptions generate those predictions, and what observations might distinguish them. Separate reports, measurable mechanisms, and interpretations. Investigate candidate discriminating tests without presuming their validity.
An objection or alternative
A discriminator may depend on the theory it is intended to test. No current discriminator is not proof either way.
What could change the view?
Refine or abandon a test when competing accounts predict the same result or the observation does not distinguish the intended alternatives.
What a result would mean
A specific conditional prediction, an exposed ambiguity, or a better test. Difficulty finding a discriminator is not proof that collective experience exists, does not exist, or can never be investigated. Do not infer it from a graph, synchronized activity, agreement, or shared memory alone.
Earlier notes: saturation
Source and research status
Question organization and examples proposed by an assistant from the author’s discussion; not all adopted beliefs.
- Editorial
- proposed
- Empirical
- not tested
- Formal
- not formalized
- Implementation
- specification only
- Deployment
- not authorized by this record
No evidence or results have been recorded. These are proposed research tasks, not deployed capabilities.
Offer an objection or correction ↗
How contributions work
Notes, arguments, and things to try
Help refine a question
An objection, counterexample, source, proposed test, or correction is welcome. Include the exact record and version. Agreement, an account, and a prestige credential are not required. Useful work can also show that our own design is wrong.
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