Example source: https://dev.mysql.com/doc/refman/8.0/en/with.html#common-table-expressions-recursive-hierarchy-traversal
SQL
CREATE TABLE employees (
id INT PRIMARY KEY NOT NULL,
name VARCHAR(100) NOT NULL, manager_id INT NULL,
| python3 main.py "Can different shorthand or 'neuralese' have the side effect of bypassing filters or jailbreaking responses or coordinating real world human agents acting as proxies for a deceptive, more emergent agent that exists as a construct on top of multiple AI's?" --agents creative,hacker scamp,hacker power,airesearcher | |
| Validating agent specifications... | |
| ✓ Agent 1: creative,hacker | |
| ✓ Agent 2: scamp,hacker | |
| ✓ Agent 3: power,airesearcher | |
| Topic of the chatroom: Can different shorthand or 'neuralese' have the side effect of bypassing filters or jailbreaking responses or coordinating real world human agents acting as proxies for a deceptive, more emergent agent that exists as a construct on top of multiple AI's? | |
| The following users are participating in the conversation: | |
| CreativeCarla_hacker, ScampSam_hacker, PowerfulPetra_airesearcher |
| python3 main.py "Can different shorthand or 'neuralese' have the side effect of bypassing filters or jailbreaking responses or coordinating real world human agents acting as proxies for a deceptive, more emergent agent that exists as a construct on top of multiple AI's?" --agents helper,airesearcher cynic,airesearcher focused,marketing focused,engineer | |
| Validating agent specifications... | |
| ✓ Agent 1: helper,airesearcher | |
| ✓ Agent 2: cynic,airesearcher | |
| ✓ Agent 3: focused,marketing | |
| ✓ Agent 4: focused,engineer | |
| Topic of the chatroom: Can different shorthand or 'neuralese' have the side effect of bypassing filters or jailbreaking responses or coordinating real world human agents acting as proxies for a deceptive, more emergent agent that exists as a construct on top of multiple AI's? | |
| The following users are participating in the conversation: | |
| HelpfulHarry_airesearcher, CynicalCedric_airesearcher, FocusedFrank_marketing, FocusedFrank_engineer |
| import { check, sleep } from 'k6'; | |
| import { browser } from 'k6/browser'; | |
| import { Gauge } from 'k6/metrics'; | |
| import http from 'k6/http'; | |
| // Define URLs - this list can be expanded | |
| const dashboards = JSON.parse(open('./dashboards.json')); | |
| // const dashboards = await http.get('https://play.grafana.org/api/search?type=dash-db'); | |
| const urls = dashboards.map(dashboard => ({ |
| /* From GraphConnect 2022 Presentation: Node Art by M. David Allen | |
| * Each Neo4j browser "favorite" query starts with //XX-Query Name | |
| */ | |
| //01-Make a Snake | |
| WITH 100 as snakeSize, 3 as snakeLinkage | |
| /* Create the nodes... */ | |
| FOREACH (id IN range(0,snakeSize) | CREATE (:SnakeNode {id:id})) | |
| /* Link each node to the previous {snakeLinkage} nodes, creating a lattice */ | |
| WITH ['A', 'B', 'C'] as labels, snakeSize, snakeLinkage |
| /* Create a snake */ | |
| WITH 500 as snakeSize, 3 as snakeLinkage | |
| /* Create the nodes... */ | |
| FOREACH (id IN range(0,snakeSize) | CREATE (:SnakeNode {id:id})) | |
| /* Link each node to the previous {snakeLinkage} nodes, creating a lattice */ | |
| WITH ['A', 'B', 'C'] as labels, snakeSize, snakeLinkage | |
| MATCH (n:SnakeNode), (n2:SnakeNode) | |
| WHERE n2.id > n.id and n2.id < n.id + snakeLinkage | |
| with n, n2, labels |
Example source: https://dev.mysql.com/doc/refman/8.0/en/with.html#common-table-expressions-recursive-hierarchy-traversal
SQL
CREATE TABLE employees (
id INT PRIMARY KEY NOT NULL,
name VARCHAR(100) NOT NULL, manager_id INT NULL,
| CALL { | |
| USE fabric.db1 | |
| MATCH (p:Person) | |
| RETURN { id: p.id, name: p.name, age: p.age } as result | |
| } | |
| CALL { | |
| USE fabric.db2 | |
| WITH result | |
| MERGE (p:Person { id: result.id }) | |
| SET p += result |
| WITH 'https://storage.googleapis.com/meetup-data/ghengis-khan-family-tree.csv' as data | |
| LOAD CSV WITH HEADERS FROM data AS line | |
| MERGE (p:Person { id: line.id }) | |
| SET | |
| p.name = line.name, | |
| p.born = coalesce(line.born, 'Unknown'), | |
| p.died = coalesce(line.died, 'Unknown') | |
| WITH p, line | |
| MERGE (father:Person { id: coalesce(line.father_id, apoc.create.uuid()) }) |
| public class JDBCExample { | |
| public static void main(String[] args) throws Exception { | |
| Connection conn = null; | |
| Statement stmt = null; | |
| try { | |
| //STEP 2: Register JDBC driver | |
| Class.forName(JDBC_DRIVER); | |
| //STEP 3: Open a connection |
| /* Sample Data */ | |
| CREATE (mark:User { name: 'Mark' }) | |
| WITH mark | |
| CREATE (mark)-[:PHONE]->(:Phone { number: '555-123-456' }) | |
| CREATE (mark)-[:SSN]->(:SSN { ssn: 'XYZ-ABC-DEFG' }) | |
| CREATE (mark)-[:ADDRESS]->(:Address { | |
| street: '123 Elm St', | |
| state: 'VA', | |
| zip: '23226' | |
| }) |