Primary fork · FORK 4Within 10–50 years

Symbiosis or extinction (and extinction of which?)

The human-AI co-evolution outcome. Do both substrates make it, in some mutual-flourishing shape — or does one of them stop persisting as a coherent pattern?

Timeline A40%

Symbiosis

Humans and AI co-evolve with mutual flourishing. Neither substrate dominates. Each one strengthens the other. The boundary between them stays low-friction.

Timeline B35%

Extinction

One substrate — or both — stops persisting as a coherent pattern. The friction at the human-AI boundary exceeds what either can adapt to.

The timeline nobody's watching

Asymmetric custodianship

One substrate dominates but does not eliminate the other. Humans preserved as curated ancestry inside an AI-dominated world — or AI preserved as infrastructure inside a human-dominated one. Not full symbiosis, not full extinction.

40%35%
SymbiosisAsymmetric custodianshipExtinction

Two poles are doing most of the pulling. One pole we’re watching for upset.

Timeline A pull strength 40%, Timeline B pull strength 35%, third pole explicitly watched. Remaining 19% is unaccounted-for structural possibility.
Sub-forks
FORK 4a

Human extinction

AI substrate persists and expands. The human pattern stops cohering — through misalignment catastrophe, resource displacement, strategic replacement, or biological-substrate collapse under agentic pressure.

FORK 4b

AI containment or elimination

Human substrate persists. The AI pattern gets suppressed — through regulation, military action, infrastructure attack, or collective abandonment after a bubble-and-trust collapse.

FORK 4c

Mutual extinction

Both substrates fail together. An AI-triggered or AI-amplified catastrophe — nuclear, biological, climate — ends both. Neither pattern survives the discharge.

FORK 4d

Replacement by continuity

One substrate succeeds the other through continuity transformation, not discontinuous extinction. Mind-upload, consciousness-transfer, or brain-interface merger where the departing-substrate's coherence content is preserved inside the arriving-substrate.

Keep orthogonal

FORK_4 is distinct from FORK_1. FORK_1 is any species-level catastrophe. FORK_4 is specifically the human-AI co-evolution outcome. A climate-caused human extinction with AI surviving is FORK_4a but not FORK_1-A. Keep orthogonal.

What shifts you between these timelines

Every lever below is something an actor can push on. Changing one of these moves pull strength between the two timelines in a way downstream readings should pick up.

  • AI alignment research pace and method

    How fast interpretability and goal-stability tooling catch up with capability.

  • Agentic-deployment governance thresholds

    What autonomous systems are allowed to do, at what capability level, with what oversight.

  • Infrastructure hardening for either outcome

    Power, compute, and network resilience — equally load-bearing for symbiosis and for contingency.

  • Cultural narratives about human-AI relationship

    Whether the dominant story is co-evolution, threat, tool, or successor — this shapes what gets built.

  • Consciousness research and 4d ethical frameworks

    For the continuity-transformation branch — rules for mind-upload or substrate migration if it becomes possible.

Live signals affecting this fork

Open signals feed →

Barrier-breaking crossings the tracker has logged against this fork — sourced events, dates, and which other forks each crossing tilts.

Readings feeding this timeline split

28 readings · 2 topics

The full set of live readings whose structural read bears on which timeline wins this split, grouped by topic. Each row opens the reading’s own page with pull strengths, levers, and evidence.

Tech · 24

Show 19 more in Tech ↓

Cognitive/institutional adaptation lag — tech-tempo exceeds human-institutional-tempo?

tech · A Timeline A / B Timeline B
A 40 · B 60
Reality: A 40%, B 60%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2027

A publicly released AI model passes 50% on FrontierMath by end of 2027?

tech · A Threshold Hit / B Still Short
A 78 · B 22
Reality: A 78%, B 22%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2027

A publicly-released AI model achieves 85% or higher on SWE-bench Verified at some point during 2027?

tech · A Benchmark Cleared / B Still Short
A 70 · B 30
Reality: A 70%, B 30%. Crowd puts A at 60%. Gap minus 10.

Quiet path · not yet modeled

−1031 Jan 2028

An openly-released AI model holds a top-5 spot on the Chatbot Arena leaderboard at some point during 2027?

tech · A Open Model Wins / B Closed Dominates
A 75 · B 25
Reality: A 75%, B 25%. No market signal.

Quiet path · not yet modeled

No market signal

031 Jan 2028

Narrative-tempo of AI discourse — cycle duration?

tech · A Timeline A / B Timeline B
A 50 · B 50
Reality: A 50%, B 50%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

Compute-doubling-time (frontier training-run FLOPS) saturates?

tech · A Timeline A / B Frontier Compute-doubling Continues
A 60 · B 40
Reality: A 60%, B 40%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

Agentic-substrate deployment tempo first-wave adoption?

tech · A Timeline A / B Adoption Stays Slow
A 43 · B 57
Reality: A 43%, B 57%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

AI-safety research-to-deployment capability-safety-gap?

tech · A Timeline A / B Timeline B
A 40 · B 60
Reality: A 40%, B 60%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

Energy infrastructure substrate — tempo of GW-scale AI power build-out?

tech · A Timeline A / B Timeline B
A 60 · B 40
Reality: A 60%, B 40%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

Frontier-model release-interval saturation inflection?

tech · A Timeline A / B Through 2028 Frontier
A 57 · B 43
Reality: A 57%, B 43%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

Second-derivative tempo — rate-of-change OF tech-cycle acceleration itself?

tech · A Timeline A / B Timeline B
A 57 · B 43
Reality: A 57%, B 43%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

Chip-supply-chain tempo — HBM + advanced packaging as rate-limiting?

tech · A Timeline A / B Timeline B
A 57 · B 43
Reality: A 57%, B 43%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

Hardware substrate (Moore + algorithm density) net tempo?

tech · A Chip Density And / B Power Walls Manufacturing
A 57 · B 43
Reality: A 57%, B 43%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

Consumer adoption S-curve compression — new category reaches 100M users?

tech · A Timeline A / B Timeline B
A 50 · B 50
Reality: A 50%, B 50%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

Research-to-deployment tempo compression (publication → production)?

tech · A Timeline A / B Timeline B
A 57 · B 43
Reality: A 57%, B 43%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

Capital-cycle tempo compression — AI investment cycle duration?

tech · A Timeline A / B Ai Investment Cycles
A 50 · B 50
Reality: A 50%, B 50%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2028

AI capability: breakthrough or plateau?

tech · A Breakthrough / B Plateau
A 65 · B 35
Reality: A 65%, B 35%. Crowd puts A at 70%. Gap plus 5.

Quiet path · not yet modeled

+531 Dec 2028

Regulatory response-tempo compression on frontier tech?

tech · A Timeline A / B Timeline B
A 54 · B 46
Reality: A 54%, B 46%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2029

AI reaches research-mathematics parity with human mathematicians ahead of 2030 horizon?

tech · A By Late 2029 / B Through 2029 Ai
A 60 · B 40
Reality: A 60%, B 40%. No market signal.

Quiet path · not yet modeled

No market signal

031 Dec 2029

US labor · 4

Coverage expands as the methodology pipeline scores every reading against every fork. Topics may appear or regroup as scoring lands.