Lou Springer louspringer

Keybase proof

I hereby claim:

I am louspringer on github.
I am louspringer (https://keybase.io/louspringer) on keybase.
I have a public key ASB7nEkvL3oMGaF4qZJFMgLqiaraQAyTyLyS2VlLFOIcqwo

To claim this, I am signing this object:

Removable-Volume Update Counterexample (CIA Failure)

Let:

V be a removable volume mounted at /Volumes/lemon.
B_live denote the deployed Cursor bundle at /Volumes/lemon/cursor/Cursor.app.
B_stage denote the staged update bundle cached at ~/Library/Caches/com.todesktop.230313mzl4w4u92.ShipIt/update.VodNX6R/Cursor.app.
P_write represent the Files & Folders → Removable Volumes permission required for ShipIt to write to V.

During the 2025-11-13 update attempt, ShipIt executed the following sequence:

That's most likely the FP-5 "Flamingo" cruise missile, a long-range weapon developed by the Ukrainian defense firm Fire Point. It has attracted attention primarily because of its significantly lower cost compared to similar Western missiles, a principle known as "affordable mass."

Here are the key details about the Flamingo:

Low Cost: The estimated unit cost for the Flamingo is around $500,000 to under €1 million ($1.09 million) per unit, which is substantially less than the $1.5 million to $2.5 million cost of an American Tomahawk cruise missile [Source 1.2, 3.1].
Design for Affordability: The lower cost is achieved through simplified design choices, including:
- Using repurposed Soviet-era AI-25TL turbofan engines (originally for L-39 trainer jets) [Source 1.2, 1.5, 3.3].
- A primary fuselage constructed from carbon fiber to keep costs down and aid in evading Russian radar [Source 1.1].
Relying on a simpler GPS/GNSS and Inertial Navigation System (INS) rather

Jobs Leadership Shadow Engine – Attractor & Bifurcation Math

Let:

$ \mathbf{L} \in \mathbb{R}^{21} $ = vector of the 21 leadership dimensions.
$ M \in \mathbb{R} $ = meta-coherence (D22: Vision Attractor Coherence).
$ \mathbf{S} \in \mathbb{R}^{4} $ = shadow dimensions:
- $ S_1 = $ Emotional Volatility
$ S_2 = $ Harsh Critique Intensity

Jobs Leadership Shadow Engine – Attractor & Bifurcation Math

Let:

$ \mathbf{L} \in \mathbb{R}^{21} $ = vector of the 21 leadership dimensions.
$ M \in \mathbb{R} $ = meta-coherence (D22: Vision Attractor Coherence).
$ \mathbf{S} \in \mathbb{R}^{4} $ = shadow dimensions:
- $ S_1 = $ Emotional Volatility
$ S_2 = $ Harsh Critique Intensity

	# This code snippet creates a Snowflake Snowpark session. It works equivalently to obtain a
	# session in a Snowflake hosted notebook, python script or Streamlit application, without
	# the ~/.snowsql/config configuration.
	#
	# It uses the 'connection_name' set to 'default' to configure and get or create the session.
	# The session is initialized in a concise one-liner.
	#
	# Local Configuration:
	# Ensure the following is set up in the ~/.snowsql/config file:
	#

	-- Research Vault (Snowflake) — tested manifest
	-- Includes fixed GOVERNANCE schema + DIRECTORY view (uses relative_path)

	CREATE DATABASE IF NOT EXISTS RESEARCH_VAULT;
	CREATE SCHEMA IF NOT EXISTS RESEARCH_VAULT.RAW_PDFS;
	CREATE SCHEMA IF NOT EXISTS RESEARCH_VAULT.GOVERNANCE;

	CREATE TAG IF NOT EXISTS RESEARCH_VAULT.GOVERNANCE.LICENSE_SCOPE;
	CREATE TAG IF NOT EXISTS RESEARCH_VAULT.GOVERNANCE.AI_USAGE;


	@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
	@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
	@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
	@prefix owl: <http://www.w3.org/2002/07/owl#> .
	@prefix sh: <http://www.w3.org/ns/shacl#> .
	@prefix dc: <http://purl.org/dc/terms/> .
	@prefix prov: <http://www.w3.org/ns/prov#> .
	@prefix meta: <https://nkllon.com/meta#> .
	@prefix stake: <https://nkllon.com/stake#> .