Skip to content

Commit bfe96ea

Browse files
jjoharejjohare
committed
Deploy JSON-LD v3 pipeline from jjohare/logseq @ b9af8e4922cf1621f2a22121c01a0a9a1af6a8af jjohare/logseq@b9af8e4 
1 parent 346bc42 commit bfe96ea

55 files changed

Lines changed: 2105 additions & 2998 deletions

Some content is hidden

Large Commits have some content hidden by default. Use the searchbox below for content that may be hidden.

‎api/markdown/AI Energy Scarcity.md‎

Lines changed: 82 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,82 @@
1+
public:: true
2+
3+
# ai energy scarcity
4+
```json-ld
5+
{
6+
"@context": "https://narrativegoldmine.com/context/v1.jsonld",
7+
"@id": "urn:visionflow:page:3ddfbfdff970a949f61a9d58e2f217238ce5ae4286d9993d9e1d6862fd86930f",
8+
"@type": "Page",
9+
"vc:slug": "ai-energy-scarcity",
10+
"title": "ai energy scarcity",
11+
"vc:public": true,
12+
"vc:outboundWikilinks": [],
13+
"vc:schemaVersion": 2,
14+
"prov:wasAttributedTo": {
15+
"@id": "did:nostr:jjohare"
16+
},
17+
"prov:generatedAtTime": {
18+
"@value": "2026-05-19T20:41:41Z",
19+
"@type": "xsd:dateTime"
20+
}
21+
}
22+
```
23+
24+
```json-ld
25+
{
26+
"@context": "https://narrativegoldmine.com/ns/v2.jsonld",
27+
"@id": "urn:ngm:class:ai-energy-scarcity",
28+
"@type": "Class",
29+
"label": "AI Energy Scarcity",
30+
"definition": "Systemic infrastructure bottleneck where exponential growth in AI training and inference compute demand outstrips available energy supply and grid capacity. Drives hyperscaler investment in dedicated power generation including small modular reactors (SMRs) and nuclear recommissioning, while creating geopolitical competition for compute sovereignty.",
31+
"domain": "infrastructure",
32+
"subClassOf": [
33+
{
34+
"@id": "urn:ngm:class:infra-computing-and-cloud",
35+
"label": "Computing and Cloud"
36+
}
37+
],
38+
"relations": {
39+
"relatedTo": [
40+
{
41+
"@id": "urn:ngm:class:energy-and-power",
42+
"label": "Energy and Power"
43+
},
44+
{
45+
"@id": "urn:ngm:class:large-language-models",
46+
"label": "Large Language Models"
47+
},
48+
{
49+
"@id": "urn:ngm:class:competition-in-ai",
50+
"label": "Competition in AI"
51+
}
52+
],
53+
"contrastsWith": [
54+
{
55+
"@id": "urn:ngm:class:bitcoin-mining",
56+
"label": "Bitcoin Mining"
57+
}
58+
]
59+
},
60+
"qualityScore": 0.85,
61+
"maturity": "emerging"
62+
}
63+
```
64+
65+
66+
- ### Definition
67+
- Systemic infrastructure bottleneck where exponential growth in AI training and inference compute demand outstrips available energy supply and grid capacity. Drives hyperscaler investment in dedicated power generation including small modular reactors (SMRs) and nuclear recommissioning, while creating geopolitical competition for compute sovereignty.
68+
69+
- ### Semantic Classification
70+
- owl-class:: ai-energy-scarcity:AI Energy Scarcity
71+
- owl-role:: Concept
72+
73+
- ### Relationships
74+
- <!-- Cross-domain bridge concept -->
75+
76+
- ### Content
77+
- #Public page
78+
- automatically published
79+
80+
- ### Provenance
81+
- sources::
82+
- migration-date:: 2026-05-19T20:41:41Z

‎api/markdown/Agentic Finance.md‎

Lines changed: 88 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,88 @@
1+
public:: true
2+
3+
# agentic finance
4+
```json-ld
5+
{
6+
"@context": "https://narrativegoldmine.com/context/v1.jsonld",
7+
"@id": "urn:visionflow:page:1d9df013fec80ec39316f4425ad7c82a9f090cac0a833519dfd4ab7f7c6daee3",
8+
"@type": "Page",
9+
"vc:slug": "agentic-finance",
10+
"title": "agentic finance",
11+
"vc:public": true,
12+
"vc:outboundWikilinks": [],
13+
"vc:schemaVersion": 2,
14+
"prov:wasAttributedTo": {
15+
"@id": "did:nostr:jjohare"
16+
},
17+
"prov:generatedAtTime": {
18+
"@value": "2026-05-19T20:41:41Z",
19+
"@type": "xsd:dateTime"
20+
}
21+
}
22+
```
23+
24+
```json-ld
25+
{
26+
"@context": "https://narrativegoldmine.com/ns/v2.jsonld",
27+
"@id": "urn:ngm:class:agentic-finance",
28+
"@type": "Class",
29+
"label": "Agentic Finance",
30+
"definition": "Infrastructure enabling autonomous AI agents to hold cryptographic wallets, provision compute resources, negotiate contracts, and transact with other agents or humans without intermediaries. AgentFi bridges decentralised finance protocols with agentic AI systems, creating machine-to-machine economic coordination layers.",
31+
"domain": "blockchain",
32+
"subClassOf": [
33+
{
34+
"@id": "urn:ngm:class:bc-defi-and-economics",
35+
"label": "DeFi and Economics"
36+
}
37+
],
38+
"relations": {
39+
"bridgesTo": [
40+
{
41+
"@id": "urn:ngm:class:agentic-internet",
42+
"label": "Agentic Internet"
43+
},
44+
{
45+
"@id": "urn:ngm:class:ai-application",
46+
"label": "AI Application"
47+
}
48+
],
49+
"dependsOn": [
50+
{
51+
"@id": "urn:ngm:class:decentralized-finance-de-fi",
52+
"label": "Decentralized Finance (DeFi)"
53+
},
54+
{
55+
"@id": "urn:ngm:class:micropayments",
56+
"label": "Micropayments"
57+
}
58+
],
59+
"relatedTo": [
60+
{
61+
"@id": "urn:ngm:class:smart-contract",
62+
"label": "Smart Contract"
63+
}
64+
]
65+
},
66+
"qualityScore": 0.85,
67+
"maturity": "emerging"
68+
}
69+
```
70+
71+
72+
- ### Definition
73+
- Infrastructure enabling autonomous AI agents to hold cryptographic wallets, provision compute resources, negotiate contracts, and transact with other agents or humans without intermediaries. AgentFi bridges decentralised finance protocols with agentic AI systems, creating machine-to-machine economic coordination layers.
74+
75+
- ### Semantic Classification
76+
- owl-class:: agentic-finance:Agentic Finance
77+
- owl-role:: Concept
78+
79+
- ### Relationships
80+
- <!-- Cross-domain bridge concept -->
81+
82+
- ### Content
83+
- #Public page
84+
- automatically published
85+
86+
- ### Provenance
87+
- sources::
88+
- migration-date:: 2026-05-19T20:41:41Z

‎api/markdown/Dr John O'Hare.md‎

Lines changed: 0 additions & 101 deletions
This file was deleted.

‎api/markdown/Embodied AI Simulation.md‎

Lines changed: 92 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,92 @@
1+
public:: true
2+
3+
# embodied ai simulation
4+
```json-ld
5+
{
6+
"@context": "https://narrativegoldmine.com/context/v1.jsonld",
7+
"@id": "urn:visionflow:page:2393d60158f0b0924db7a2dd3a21817f0a38b0794781a65d1753e63805f74b6b",
8+
"@type": "Page",
9+
"vc:slug": "embodied-ai-simulation",
10+
"title": "embodied ai simulation",
11+
"vc:public": true,
12+
"vc:outboundWikilinks": [],
13+
"vc:schemaVersion": 2,
14+
"prov:wasAttributedTo": {
15+
"@id": "did:nostr:jjohare"
16+
},
17+
"prov:generatedAtTime": {
18+
"@value": "2026-05-19T20:41:41Z",
19+
"@type": "xsd:dateTime"
20+
}
21+
}
22+
```
23+
24+
```json-ld
25+
{
26+
"@context": "https://narrativegoldmine.com/ns/v2.jsonld",
27+
"@id": "urn:ngm:class:embodied-ai-simulation",
28+
"@type": "Class",
29+
"label": "Embodied AI Simulation",
30+
"definition": "Use of physically accurate virtual environments as training grounds for embodied AI agents and robotic systems. Sim-to-real transfer leverages spatial computing platforms (NVIDIA Omniverse, Isaac Gym, Habitat) to generate synthetic training data, test robot behaviours, and validate control policies before physical deployment.",
31+
"domain": "spatial-computing",
32+
"subClassOf": [
33+
{
34+
"@id": "urn:ngm:class:sc-platform-and-environment",
35+
"label": "Platform and Environment"
36+
}
37+
],
38+
"relations": {
39+
"bridgesTo": [
40+
{
41+
"@id": "urn:ngm:class:robot-learning",
42+
"label": "Robot Learning"
43+
},
44+
{
45+
"@id": "urn:ngm:class:robo-navigation-and-planning",
46+
"label": "Navigation and Planning"
47+
}
48+
],
49+
"relatedTo": [
50+
{
51+
"@id": "urn:ngm:class:nvidia-omniverse",
52+
"label": "NVIDIA Omniverse"
53+
},
54+
{
55+
"@id": "urn:ngm:class:virtual-environment",
56+
"label": "Virtual Environment"
57+
},
58+
{
59+
"@id": "urn:ngm:class:synthetic-data",
60+
"label": "Synthetic Data"
61+
}
62+
],
63+
"enables": [
64+
{
65+
"@id": "urn:ngm:class:robo-actuation-and-control",
66+
"label": "Actuation and Control"
67+
}
68+
]
69+
},
70+
"qualityScore": 0.85,
71+
"maturity": "emerging"
72+
}
73+
```
74+
75+
76+
- ### Definition
77+
- Use of physically accurate virtual environments as training grounds for embodied AI agents and robotic systems. Sim-to-real transfer leverages spatial computing platforms (NVIDIA Omniverse, Isaac Gym, Habitat) to generate synthetic training data, test robot behaviours, and validate control policies before physical deployment.
78+
79+
- ### Semantic Classification
80+
- owl-class:: embodied-ai-simulation:Embodied AI Simulation
81+
- owl-role:: Concept
82+
83+
- ### Relationships
84+
- <!-- Cross-domain bridge concept -->
85+
86+
- ### Content
87+
- #Public page
88+
- automatically published
89+
90+
- ### Provenance
91+
- sources::
92+
- migration-date:: 2026-05-19T20:41:41Z

0 commit comments

Comments
 (0)