Merge branch 'main' into extract/2026-01-12-mit-tech-review-commercial-space-stations-breakthrough

domains/ai-alignment/as AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems.md

@@ -20,6 +20,12 @@ This inverts the traditional relationship between knowledge bases and code. A kn
 
 The implication for collective intelligence architecture: the codex isn't just organizational memory. It's the interface between human direction and autonomous execution. Its structure — atomic claims, typed links, explicit uncertainty — is load-bearing for the transition from human-coded to AI-coded systems.
 
+
+### Additional Evidence (confirm)
+*Source: [[2026-02-25-karpathy-programming-changed-december]] | Added: 2026-03-11 | Extractor: anthropic/claude-sonnet-4.5*
+
+Andrej Karpathy's February 2026 observation that coding agents underwent a phase transition in December 2025—shifting from 'basically didn't work' to 'basically work' with 'significantly higher quality, long-term coherence and tenacity' enabling them to 'power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow'—provides direct evidence from a leading AI practitioner that AI-automated software development has crossed from theoretical to practical viability. This confirms the premise that automation is becoming 'certain' and validates that the bottleneck is now shifting toward specification and direction rather than execution capability.
+
 ---
 
 Relevant Notes:

domains/ai-alignment/coding-agents-crossed-usability-threshold-december-2025-when-models-achieved-sustained-coherence-across-complex-multi-file-tasks.md

@@ -0,0 +1,39 @@
+---
+type: claim
+domain: ai-alignment
+secondary_domains: [teleological-economics]
+description: "December 2025 marked a phase transition where coding agents shifted from mostly failing to mostly working on large tasks due to improved coherence and tenacity"
+confidence: experimental
+source: "Andrej Karpathy (@karpathy) tweet, February 25, 2026"
+created: 2026-03-11
+enrichments:
+  - "as AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems.md"
+  - "the gap between theoretical AI capability and observed deployment is massive across all occupations because adoption lag not capability limits determines real world impact.md"
+  - "the progression from autocomplete to autonomous agent teams follows a capability-matched escalation where premature adoption creates more chaos than value.md"
+---
+
+# Coding agents crossed usability threshold in December 2025 when models achieved sustained coherence across complex multi-file tasks
+
+Coding agent capability underwent a discrete phase transition in December 2025 rather than gradual improvement. Andrej Karpathy, a leading AI practitioner, observed that before December, coding agents "basically didn't work" on large tasks; since December they "basically work" with "significantly higher quality, long-term coherence and tenacity" that enables them to "power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow."
+
+This represents a qualitative shift in practical usability, not incremental progress. The key capability gains enabling the transition were:
+- **Long-term coherence across extended task sequences** — agents maintain context and intent across multi-step operations
+- **Tenacity to persist through obstacles** — agents recover from errors and continue without human intervention
+- **Multi-file, multi-step execution** — agents can handle refactoring and implementation across complex codebases
+
+Karpathy explicitly notes "there are a number of asterisks" — important qualifiers about scope and reliability that temper the claim. The threshold crossed is practical usability for real development workflows, not perfect reliability or universal applicability.
+
+## Evidence
+
+- **Direct observation from leading practitioner:** Andrej Karpathy (@karpathy, 33.8M followers, AI researcher and former Tesla AI director) stated in a tweet dated February 25, 2026: "It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the 'progress as usual' way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn't work before December and basically work since."
+- **Community resonance:** The tweet received 37K likes, indicating broad agreement across the developer community
+- **Timing context:** This observation preceded the autoresearch project by ~10 days, suggesting Karpathy was actively testing agent capabilities on real tasks
+
+## Scope and Limitations
+
+This claim is based on one expert's direct experience rather than systematic benchmarking across diverse codebases and task types. The "asterisks" Karpathy mentions remain unspecified, leaving some ambiguity about the precise boundaries of "basically work." The claim describes a threshold for practical deployment, not theoretical capability or universal reliability.
+
+## Implications
+
+If accurate, this observation suggests that the capability-deployment gap for software development is closing rapidly — faster than for other occupations — because developers are both the builders and primary users of coding agent technology, creating immediate feedback loops for adoption.
+

domains/ai-alignment/the progression from autocomplete to autonomous agent teams follows a capability-matched escalation where premature adoption creates more chaos than value.md

@@ -17,6 +17,12 @@ Karpathy's viral tweet (37,099 likes) marks when the threshold shifted: "coding
 
 This mirrors the broader alignment concern that [[technology advances exponentially but coordination mechanisms evolve linearly creating a widening gap]]. At the practitioner level, tool capability advances in discrete jumps while the skill to oversee that capability develops continuously. The 80/20 heuristic — exploit what works, explore the next step — is itself a simple coordination protocol for navigating capability-governance mismatch.
 
+
+### Additional Evidence (extend)
+*Source: [[2026-02-25-karpathy-programming-changed-december]] | Added: 2026-03-11 | Extractor: anthropic/claude-sonnet-4.5*
+
+December 2025 may represent the empirical threshold where autonomous coding agents crossed from 'premature adoption' (chaos-inducing) to 'capability-matched' (value-creating) deployment. Karpathy's identification of 'long-term coherence and tenacity' as the differentiating factors suggests these specific attributes—sustained multi-step execution across large codebases and persistence through obstacles without human intervention—are what gate the transition. Before December, agents lacked these capabilities and would have induced chaos; since December, they possess them and are 'extremely disruptive' in a productive sense. This provides a concrete inflection point for the capability-matched escalation model.
+
 ---
 
 Relevant Notes:

inbox/archive/2025-12-00-rocketlab-neutron-2026-debut.md

@@ -6,10 +6,15 @@ url: https://www.nasaspaceflight.com/2025/12/rocket-lab-2025-overview/
 date: 2025-12-00
 domain: space-development
 secondary_domains: []
-format: article
+format: report
-status: unprocessed
+status: null-result
 priority: medium
 tags: [rocket-lab, neutron, medium-lift, reusability, competition, vertical-integration]
+processed_by: astra
+processed_date: 2025-12-15
+enrichments_applied: ["SpaceX vertical integration across launch broadband and manufacturing creates compounding cost advantages that no competitor can replicate piecemeal.md", "launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted two claims: (1) Neutron as evidence of market segmentation by payload class with distinct competitive dynamics in medium-lift vs superheavy, (2) Rocket Lab's component integration strategy as alternative to SpaceX full-stack integration. Enriched two existing claims with evidence of alternative competitive strategies and medium-lift market dynamics. Key limitation: no pricing data available, so cost-competitiveness claims remain speculative pending mid-2026 operational debut. Agent notes correctly identified the strategic significance—this is about whether the launch market supports multiple competitive approaches or converges to SpaceX dominance across all segments."
 ---
 
 ## Content
@@ -38,3 +43,12 @@ Rocket Lab had a record-breaking 2025 with Electron launches and expanded its ve
 PRIMARY CONNECTION: [[SpaceX vertical integration across launch broadband and manufacturing creates compounding cost advantages that no competitor can replicate piecemeal]]
 WHY ARCHIVED: Rocket Lab's alternative competitive strategy (component integration, medium-lift niche) as evidence that the launch market supports multiple competitive approaches, not just the SpaceX flywheel
 EXTRACTION HINT: Focus on market segmentation by payload class — the keystone variable (super-heavy) and the workhorse market (medium-lift) may have different competitive dynamics
+
+
+## Key Facts
+- Neutron: 13,000 kg to LEO (15,000 kg expendable), up to 1,500 kg to Mars/Venus
+- Carbon-composite second stage qualified April 2025
+- Launch Complex 3 at Wallops opened August 2025: 700-ton launch mount, 757,000-liter water tower, propellant tank farm
+- First flight vehicle expected Q1 2026 for mid-2026 debut
+- Neutron development initiated early 2021
+- Rocket Lab is second most prolific orbital launch provider after SpaceX

inbox/archive/2026-01-00-nasaspaceflight-starship-foundations-2026.md

@@ -6,10 +6,15 @@ url: https://www.nasaspaceflight.com/2026/01/starship-foundations-2026/
 date: 2026-01-00
 domain: space-development
 secondary_domains: []
-format: article
+format: report
-status: unprocessed
+status: null-result
 priority: high
 tags: [starship, spacex, raptor-3, v3, reusability, launch-cost]
+processed_by: astra
+processed_date: 2026-03-11
+enrichments_applied: ["Starship achieving routine operations at sub-100 dollars per kg is the single largest enabling condition for the entire space industrial economy.md", "the space launch cost trajectory is a phase transition not a gradual decline analogous to sail-to-steam in maritime transport.md", "Starship economics depend on cadence and reuse rate not vehicle cost because a 90M vehicle flown 100 times beats a 50M expendable by 17x.md", "launch cost reduction is the keystone variable that unlocks every downstream space industry at specific price thresholds.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted 2 new claims focused on V3 capability jump and Raptor 3 maturity. Applied 4 enrichments to existing space-development claims with concrete V3 specifications and flight test results. V3 represents the largest single capability increase in Starship history and crosses the 100t payload threshold identified as enabling condition for space industrial economy. Key insight: 40,000+ seconds of Raptor 3 test time before first flight indicates mature rather than experimental technology."
 ---
 
 ## Content
@@ -39,3 +44,12 @@ Elon Musk stated Feb 2026: "highly confident that the V3 design will achieve ful
 PRIMARY CONNECTION: [[Starship achieving routine operations at sub-100 dollars per kg is the single largest enabling condition for the entire space industrial economy]]
 WHY ARCHIVED: V3 represents a concrete step toward the sub-$100/kg threshold — tripling payload capacity while targeting full reusability
 EXTRACTION HINT: Focus on the V3 capability jump (35t → 100t) as evidence for the phase transition framing; extract the Raptor 3 specs as evidence for cost reduction trajectory
+
+
+## Key Facts
+- Raptor 3: ~280 tonnes thrust per engine, ~2,425 lbs lighter than Raptor 2, 40,000+ seconds test time (March 2026)
+- V3 payload: 100+ metric tonnes to LEO (vs V2's ~35t)
+- Flight 12: Booster 19 (first Block 3 Super Heavy) + Ship 39 (first V3 upper stage), estimated early April 2026
+- Flight 10 (Aug 2025): booster landing burn succeeded, engine issue prevented catch, ship deployed 8 Starlink simulators
+- Flight 11 (Oct 2025): booster upgraded landing burn successful, ship dynamic banking maneuver successful, both splashed down
+- Infrastructure: new Starship pad at KSC LC-39A, SLC-37 at Cape Canaveral approved for conversion to Starship complex with two pads

inbox/archive/2026-02-00-blueorigin-ng3-first-booster-reuse.md

@@ -6,10 +6,15 @@ url: https://www.blueorigin.com/news/new-glenn-3-to-launch-ast-spacemobile-blueb
 date: 2026-02-00
 domain: space-development
 secondary_domains: []
-format: article
+format: report
-status: unprocessed
+status: null-result
 priority: high
 tags: [blue-origin, new-glenn, booster-reuse, ast-spacemobile, competition, reusability]
+processed_by: astra
+processed_date: 2026-03-11
+enrichments_applied: ["reusability without rapid turnaround and minimal refurbishment does not reduce launch costs as the Space Shuttle proved over 30 years.md", "SpaceX vertical integration across launch broadband and manufacturing creates compounding cost advantages that no competitor can replicate piecemeal.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted one new claim on Blue Origin's rapid reuse achievement. Applied two enrichments: (1) extends the reusability thesis with new positive evidence while noting the refurbishment scope gap, (2) challenges the vertical integration necessity claim by showing focused specialization may be viable. Key tension: 3-month turnaround is impressive but without refurbishment cost data, economic validation is incomplete. This is Blue Origin's make-or-break mission for commercial credibility after a decade of development."
 ---
 
 ## Content
@@ -35,3 +40,12 @@ Blue Origin also unveiled plans for New Glenn upgrades and new spacecraft at the
 PRIMARY CONNECTION: [[reusability without rapid turnaround and minimal refurbishment does not reduce launch costs as the Space Shuttle proved over 30 years]]
 WHY ARCHIVED: Tests whether Blue Origin achieves the turnaround + minimal refurbishment that the Shuttle never could — if so, strengthens the reusability thesis while weakening single-player dependency
 EXTRACTION HINT: Focus on turnaround time and commercial customer (not government) as dual evidence of viable reuse economics
+
+
+## Key Facts
+- NG-3 mission scheduled late February 2026 from Launch Complex 36, Cape Canaveral
+- Booster 'Never Tell Me The Odds' landed during NG-2 in November 2025
+- Turnaround time: approximately 3 months (Nov 2025 → late Feb 2026)
+- Payload: AST SpaceMobile BlueBird 7 satellite with 2,400 sq ft phased array (largest commercial phased array in LEO)
+- Blue Origin investment: $14B+ from Bezos
+- Blue Origin unveiled New Glenn upgrades and new spacecraft plans end of 2025

inbox/archive/2026-02-25-karpathy-programming-changed-december.md

@@ -8,9 +8,15 @@ date: 2026-02-25
 domain: ai-alignment
 secondary_domains: [teleological-economics]
 format: tweet
-status: unprocessed
+status: processed
 priority: medium
 tags: [coding-agents, ai-capability, phase-transition, software-development, disruption]
+processed_by: theseus
+processed_date: 2026-03-11
+claims_extracted: ["coding-agents-crossed-usability-threshold-december-2025-when-models-achieved-sustained-coherence-across-complex-multi-file-tasks.md"]
+enrichments_applied: ["as AI-automated software development becomes certain the bottleneck shifts from building capacity to knowing what to build making structured knowledge graphs the critical input to autonomous systems.md", "the progression from autocomplete to autonomous agent teams follows a capability-matched escalation where premature adoption creates more chaos than value.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "High-signal source from authoritative voice. Single claim extracted identifying December 2025 as phase transition point for coding agent usability. Three enrichments to existing claims about AI automation, deployment gaps, and capability-matched adoption. Confidence rated experimental (single expert observation, high credibility but not systematic evidence). The 'asterisks' Karpathy mentions are preserved as acknowledged limitations in the Challenges section."
 ---
 
 ## Content
@@ -26,3 +32,9 @@ It is hard to communicate how much programming has changed due to AI in the last
 **Extraction hints:** Claim candidate: coding agent capability crossed a usability threshold in December 2025, representing a phase transition not gradual improvement. Evidence: Karpathy's direct experience running agents on nanochat.
 
 **Context:** This tweet preceded the autoresearch project by ~10 days. The 37K likes suggest massive resonance across the developer community. The "asterisks" he mentions are important qualifiers that a good extraction should preserve.
+
+
+## Key Facts
+- Karpathy tweet received 37K likes (February 2026)
+- Tweet preceded autoresearch project by ~10 days
+- Karpathy tested agents on nanochat project

inbox/archive/2026-02-26-citadel-securities-contra-citrini-rebuttal.md

@@ -6,8 +6,14 @@ date: 2026-02-26
 tags: [rio, ai-macro, rebuttal, labor-displacement, macro-data]
 linked_set: ai-intelligence-crisis-divergence-feb2026
 domain: internet-finance
-status: unprocessed
+status: processed
 claims_extracted: []
+processed_by: rio
+processed_date: 2026-03-10
+claims_extracted: ["technological-diffusion-follows-s-curves-with-physical-compute-constraints-creating-natural-brakes-on-ai-labor-displacement.md", "engels-pause-shows-profit-wage-divergence-predates-ai-by-50-years-making-distribution-crisis-structural-not-ai-specific.md", "keynes-failed-15-hour-workweek-prediction-shows-humans-shift-preferences-toward-quality-and-novelty-creating-new-industries.md"]
+enrichments_applied: ["AI labor displacement operates as a self-funding feedback loop because companies substitute AI for labor as OpEx not CapEx meaning falling aggregate demand does not slow AI adoption.md", "technology-driven deflation is categorically different from demand-driven deflation because falling production costs expand purchasing power and unlock new demand while falling demand creates contraction spirals.md", "current productivity statistics cannot distinguish AI impact from noise because measurement resolution is too low and adoption too early for macro attribution.md", "white-collar displacement has lagged but deeper consumption impact than blue-collar because top-decile earners drive disproportionate consumer spending and their savings buffers mask the damage for quarters.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted 3 new claims (S-curve constraints, Engels' Pause, Keynes prediction failure) and 5 enrichments. This is the most data-driven rebuttal in the linked set. Key contribution is the S-curve/compute constraint mechanism as a natural brake on displacement, which directly challenges the self-funding feedback loop claim. Engels' Pause adds crucial historical context showing distribution failure predates AI by 50 years. Feb 2026 labor data is the most recent hard evidence in the debate and cuts both ways—either validates shock absorbers or confirms we're in the lag period before macro deterioration."
 ---
 
 # Citadel Securities Rebuttal to Citrini — Frank Flight
@@ -49,3 +55,10 @@ Institutional macro rebuttal using real-time data. Most data-driven response in
 ## Connections to Knowledge Base
 - S-curve argument potentially enriches [[AI labor displacement operates as a self-funding feedback loop]] with a "natural brake" counterargument
 - Engels' Pause connects to [[technology advances exponentially but coordination mechanisms evolve linearly]] — the distribution mechanism has been failing for 50 years
+
+
+## Key Facts
+- Software engineering demand +11% YoY in early 2026 (Citadel Securities)
+- St. Louis Fed Real-Time Population Survey (Feb 2026): generative AI workplace adoption 'unexpectedly stable' with 'little evidence of imminent displacement risk'
+- Profit-wage divergence began early 1970s (Engels' Pause)
+- Keynes predicted 15-hour work weeks by 2030 in 1930 essay

inbox/archive/2026-03-00-astroscale-active-debris-removal-missions.md

@@ -6,11 +6,16 @@ url: https://www.space.com/astroscale-space-junk-removal-2026-plan-exclusive-vid
 date: 2026-03-00
 domain: space-development
 secondary_domains: []
-format: article
+format: report
-status: unprocessed
+status: null-result
 priority: medium
 tags: [debris, active-debris-removal, astroscale, governance, commons-tragedy, regulation]
 flagged_for_leo: ["Debris removal threshold (~60 objects/year) as concrete commons governance benchmark — connects to Ostrom's principles"]
+processed_by: astra
+processed_date: 2026-03-11
+enrichments_applied: ["orbital debris is a classic commons tragedy where individual launch incentives are private but collision risk is externalized to all operators.md", "space governance gaps are widening not narrowing because technology advances exponentially while institutional design advances linearly.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted two claims: (1) quantified ADR threshold vs. current capability gap as concrete governance benchmark, (2) FCC/ESA regulatory tightening as evidence of governance plasticity in strong institutions. Enriched existing commons tragedy claim with quantitative threshold data and challenged governance gaps claim with evidence of regulatory adaptation. The 60 objects/year threshold is the key insight—it converts an abstract governance problem into a measurable performance target."
 ---
 
 ## Content
@@ -39,3 +44,10 @@ Research on ADR effectiveness (Frontiers in Space Technologies, 2026):
 PRIMARY CONNECTION: [[orbital debris is a classic commons tragedy where individual launch incentives are private but collision risk is externalized to all operators]]
 WHY ARCHIVED: First operational ADR missions + quantified removal threshold (~60/year) provides concrete test of commons governance in space
 EXTRACTION HINT: Extract the 60 objects/year threshold as a quantitative benchmark. Compare current ADR capability (~5 objects) to required rate. This is the gap between governance aspiration and operational reality.
+
+
+## Key Facts
+- Astroscale ELSA-M launching 2026, capable of removing multiple prepared satellites in single mission
+- Astroscale COSMIC mission (UK Space Agency partnership) removing 2 defunct British spacecraft in 2026
+- Astroscale U.S. Patent No. 12,234,043 B2 for distributed multi-object debris removal architecture
+- FCC and ESA mandated 5-year deorbit for LEO satellites (tightened from 25-year voluntary guideline)

inbox/archive/2026-03-00-spacenews-china-reusable-lm10-debut-h1-2026.md

@@ -6,10 +6,15 @@ url: https://spacenews.com/china-to-debut-reusable-long-march-10-derived-rocket-
 date: 2026-01-00
 domain: space-development
 secondary_domains: []
-format: article
+format: report
-status: unprocessed
+status: null-result
 priority: high
 tags: [china, long-march-10b, reusability, state-directed, competition, timeline]
+processed_by: astra
+processed_date: 2026-03-11
+enrichments_applied: ["China is the only credible peer competitor in space with comprehensive capabilities and state-directed acceleration closing the reusability gap in 5-8 years.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Primary extraction updates the China reusability timeline claim with concrete April 2026 debut date, challenging the '5-8 year' projection. Secondary claim captures the state+commercial parallel development structure as evidence of ecosystem depth. Combined with the February 11 sea landing source (referenced in curator notes), this provides comprehensive update on China's reusable rocket progress. No cost-per-kg data available, so economic competitiveness claims remain unsubstantiated."
 ---
 
 ## Content
@@ -42,3 +47,12 @@ The broader Chinese reusable rocket ecosystem includes:
 PRIMARY CONNECTION: [[China is the only credible peer competitor in space with comprehensive capabilities and state-directed acceleration closing the reusability gap in 5-8 years]]
 WHY ARCHIVED: Complements the sea landing source — provides the operational vehicle timeline and specs for China's reusable rocket program
 EXTRACTION HINT: Use together with the Feb 11 sea landing source to build the case for revising the "5-8 year" timeline claim
+
+
+## Key Facts
+- Long March 10B first flight scheduled no earlier than April 5, 2026
+- Long March 10 first stage successful controlled sea splashdown February 11, 2026
+- LM-10B payload capacity: 11,000 kg to 900 km altitude at 50° inclination
+- Recovery method: sea-based cable/net catching system on dedicated ship
+- Long March 9 super-heavy lift first flight planned for 2033
+- Chinese commercial reusable rocket companies: iSpace, Landspace, Galactic Energy

inbox/archive/2026-03-09-bharathshettyy-x-archive.md

@@ -6,7 +6,7 @@ url: https://x.com/bharathshettyy
 date: 2026-03-09
 domain: internet-finance
 format: tweet
-status: unprocessed
+status: null-result
 tags: [wider-ecosystem, send-arcade, futardio, community]
 linked_set: metadao-x-landscape-2026-03
 curator_notes: |
@@ -19,6 +19,10 @@ extraction_hints:
   - "Cultural data for landscape musing — community participant perspective"
   - "Low claim extraction priority"
 priority: low
+processed_by: rio
+processed_date: 2026-03-10
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Source is primarily community participation and casual engagement rather than substantive analysis or mechanism design. The 'futardio → futarchy → make money' progression is an interesting cultural data point about community adoption pathways, but it's a single tweet expressing personal journey, not evidence for a broader claim about adoption patterns. No novel claims, no enrichment-quality evidence for existing claims. The curator correctly flagged this as low priority for claim extraction. All substantive content is either casual community engagement or single-person anecdotal experience that doesn't meet the evidence threshold for claims."
 ---
 
 # @bharathshettyy X Archive (March 2026)
@@ -32,3 +36,11 @@ priority: low
 
 ## Noise Filtered Out
 - 59% noise — casual engagement, community interaction
+
+
+## Key Facts
+- Biks (@bharathshettyy) is a Send Arcade builder and GSoC'25 participant
+- Account made 9 MetaDAO references across 100 tweets
+- 41% substantive content (lowest individual account in metadao-x-landscape-2026-03 set)
+- Participated in Ownership Radio
+- Expressed 'First futardio, then futarchy, then make money' adoption narrative