724 Research

OPEN QUESTIONS

Open Questions

724 Research does not try to give answers prematurely.

A system truly worth researching should first accumulate high-quality questions.

The following questions will continue to be researched, tested, and revised.

Note
Article info
v0.1
Published July 18, 2026
~3 min read
Contents

Goal#

  1. What is the essential difference between a Goal and a wish, a task, a project, and a KPI?
  2. Who holds the power to change a Goal?
  3. How do we tell whether a Goal is genuine, or shaped by circumstance, platform, or short-term emotion?
  4. How are conflicts between Goals expressed and resolved?
  5. Can a Goal be inherited, transferred, or jointly owned?
  6. What Evidence is sufficient to prove a Goal has been achieved?
  7. When should a system advise a user to abandon a Goal?
  8. Will Goal become the first software object of the AI era?

Human and Agent#

  1. How many Agents can one person effectively manage at most?
  2. How do hierarchy, competition, and collaboration form among Agents?
  3. Which judgments cannot be delegated to an Agent?
  4. How should an Agent request more Context instead of guessing on its own?
  5. When Agent outputs conflict, who is responsible for adjudicating?
  6. Does an Agent need a portable identity and reputation?
  7. How does a person avoid fully outsourcing their own judgment?
  8. How should an Agent's errors be attributed?

Organization#

  1. Will departments be replaced by a Capability Graph?
  2. Will job positions be replaced by Goal-based Missions?
  3. Will traditional management hierarchies disappear, or transform into hierarchies of permission and responsibility?
  4. How do organizational boundaries form dynamically around a Goal?
  5. Without fixed employment relationships, how does culture form?
  6. How does a highly automated organization sustain creative collision?
  7. Who should control an organization's long-term memory?
  8. Who bears responsibility for the external commitments of an AI-native organization?

OPC#

  1. Is the OPC a mainstream organizational form, or does it only work for a small number of highly capable individuals?
  2. Is the OPC's biggest bottleneck capability, customer acquisition, trust, or capital?
  3. How does an OPC escape the "glorified freelancer" trap?
  4. How does an OPC build enterprise value that can be sold or inherited?
  5. How does an OPC continue operating if its founder becomes incapacitated?
  6. How do multiple OPCs form a stable alliance?
  7. How should differing contributions of relationships, Goal, capital, and execution be recorded?
  8. What innovation does the OPC's legal and tax structure require?

Context#

  1. Which aspects of a person's Context does AI need to understand?
  2. Which Context should a system never collect?
  3. How do we distinguish fact, memory, inference, and emotion?
  4. How does Context decay, update, and get corrected over time?
  5. Should Context from different life domains be kept separate?
  6. How should AI explain "why it gave this recommendation"?
  7. How do we prevent Context from being used for manipulation?
  8. Should a person own a portable Context Passport?

Trust and Economy#

  1. Can trust in the AI era be computed?
  2. How does reputation migrate across platforms?
  3. How is an Agent's contribution priced?
  4. What economic rights should the originator of a Goal receive?
  5. How should returns be allocated among relationships, judgment, capital, and execution?
  6. How will business models change once AI capability approaches free?
  7. Will AI platforms turn around and compete for high-value Goals?
  8. Will future capital invest in companies, individuals, Goals, or Agent Networks?

Civilization#

  1. When execution capability expands without limit, who defines a future worth realizing?
  2. Will a Goal-driven civilization liberate people, or subject life to total optimization?
  3. What will education shift toward, beyond skills training?
  4. Will large-scale organizations be replaced by networks of micro-organizations?
  5. How will power shift among states, companies, and platforms?
  6. Will AI bring about a renaissance of the human?
  7. Can "knowing oneself, becoming oneself, realizing oneself" become a shared public value direction for AI?
  8. What institutional safeguards can prevent a highly leveraged, wrong Goal from being executed perfectly?