Update on that bit from Niger - how the Pres/P.M. said they were about to be attacked b y USA, Izreal, France and Ukraine connected forces?

Closing thought on tonights show I was to share when I lost my train of thought - "Is there an obligation in the CFAA that supports the idea that there's a duty to only publish clean data. Realistically there's no way to know if your fanfic is going to 'damage' an LLM that then spits out incorrect facts about the real books. There's no way to know that your Wiley E Coyote style murel is going to confuse a self driving car trying to map your neighborhood. There is no obligation in the CFAA to build a world that isn't hostile to the passive consumption of other people's data.

^^^Random Reddit Guy in response to the Data/image Poisoning is criminal argument

Poisoning Web-Scale Training Datasets is Practical - arXiv:2302.10149v2 [cs.CR] 06 May 2024

DOI:10.1109/JBHI.2014.2344095Corpus ID: 18466660
Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare
Mehran Mozaffari-Kermani, Susmita Sur-Kolay, +1 author N. Jha
Published in IEEE journal of biomedical… 1 November 2015
Computer Science, Medicine

The explanation of MPNE shared on show - summary - not my work but the compare and contrast to current day with Prisoner's Dilemma - I added
"A Markov-perfect Nash equilibrium (MPNE) is a subgame perfect equilibrium in dynamic or stochastic games where players' strategies depend exclusively on the current, payoff-relevant state of the game rather than the full history of past actions.
Core Concepts
• Markov Strategy: A decision rule where a player's action depends only on the present state variable (which summarizes all relevant past information), satisfying the Markov property.
• Subgame Perfection: The profile of Markov strategies must constitute a Nash equilibrium in every possible subgame or state of the game, eliminating non-credible threats.
• Origin: Formally defined and popularized in applied game theory by Eric Maskin and Jean Tirole in the late 1980s and 2001.
Key Properties & Applications
• Tractability: By ignoring complicated history and punishing/rewarding past trajectories, it makes dynamic economic models mathematically solvable.
• Applications: Extensively used in industrial organization (e.g., oligopolistic competition, R&D races, price wars), macroeconomics, and multi-agent reinforcement learning"

"A coil of copper, a battery, and a magnet can spin until the battery dies. That quiet rotation is also why phones, cars, and missiles depend on a handful of metals that almost nobody else can turn into magnets at scale.

One country controls the magnet rare earths the rest of the world needs. The deposits sit in many places. The hard part is pulling twins of the periodic table apart from dirt, waste, and heat, then keeping the know-how at home."


Called it in 2007 - the chinese lady in my "business entrepreneurship" class taught by a man that authored some trump uni books. She was a graduate of the chinese maritime university (christine lin) and her husband, at least on paper, was Steve Gao and all tied in w/ ASEAN - made an impact signing big box stores on lighting accessories.

Anyways - when I say I called it 2007 - I was approached and hired by what i term in hindsight - operatives of a different kind of data scrape operation.

I am kinda stunned realizing it was 2 decades ago.

Fuck me - I dropped my phone ...my trusty S8 ANdroid released in the before time of 2017

and now kikt is dead

That sucks dude. Hope you can still transfer all your shit off of it. - Six

oh nooo

Get Fact Up - Episode 8, Clip 1