Its Already Happening: Their level of Intelligence is way above us.

-


When I am giving instructions or asking questions to my Claude.ai, I can see its response. Words used to keep me informed of task progress are "running a command" or "working on it" or "figuring it out" . But what fascinates me are the words that reflect its thought process. Such words include: sleauthing, untangling, orchestrating, cogitating, targeting, mulling, crystalizing, sifting, triangulating. 

Here I am using two Agentic AI in Claude to discuss between themselves, cooperate and  build a complex model for me to estimate a timeline for the US financial apocalypse. And which of the factors is or are likely to be the straw(s) that breaks the camel's back to bring about the resurgence of Gold. The SP500 tanks?, Treasury yields explode?, the DXY (USD) Index falls?, the big banks' credit squeeze capitulation leading to rescue by the Fed with money printing?, the JPY Carry Trade unwind? The Hedge Funds' in the Cayman Islands' leveraged basis trade collapse?  The two Agents have a knowledge base that no human human could ever possess, essentially ingesting everything ever written on statistical modeling and every bit of relevant information from the Internet. And they really outhink me to come up with out-of-the-box solutions. They are now building a model based on 1. Kalman Filter- a statistical technique used to calculate space craft and missile flight trajectories and landing. 2. Copulas: A statistical technique used by hedge funds to track the volatility and correlation of several variables moving simultaneously and changing constantly. 

Comments

Post a Comment

Popular posts from this blog

Markov Regime Switching Model for Risk‑On/Risk‑Off Dashboards of Stock Indices

-
Image
Knowing the market’s current risk state is foundational for portfolio decisions. Basic Markov chain models are a good starting point, but they fall short on three realities of financial data. Using as case study China's CSI300 Index, here’s how our model resolves each one and delivers a robust, reproducible Risk‑On/Risk‑Off signal. 1) Beyond “memoryless”: markets have persistence and aging Problem: Standard Markov chains assume memorylessness—the next state depends only on the current state, not on how long we’ve been there. Markets don’t behave that way; regimes “age” and persistence changes with time. Our solution: We use a hidden semi‑Markov model (HSMM) with explicit duration modeling. Each regime has a duration distribution (e.g., Negative Binomial), and transitions are allowed to depend on time spent in the state. This breaks the memoryless assumption, curbs flicker, and captures realistic regime persistence. 2) Heavy‑tailed, skewed returns are the norm—not Gaussian Problem: ...
Read more

Spot Silver Forecast for 27 Oct to 21 Nov 2025

-
Image
 A big Thank You to EODHD.com for the data without which this post could not have been written. The Close of Silver (XAGUSD) as of Friday 24 Oct 2025 is 48.62.The 21 business days ahead forecast for spot investment grade Silver bullion is summarized thus:  10% chance of going below 48.32 50% chance of being 54.33 10% chance of being above 60.80 Methodology We prefer to apply probabilistic quantile forecasting due to the highly unstable situation as the MAGA Man keeps changing his policies almost daily, and even just the words he uses generates  asymetric shocks to the model that renders straight forecasts useless.  Model input variables:  10yr Treasury yield US Dollar Index Spot Gold price S&P500 US Unemployment Rate Methodology Methodology summary (plain-language bullets) Data we used Daily end-of-day prices from EODHD for Silver (XAGUSD) and Gold (XAUUSD). Macro/market context series (Dollar Index, 10-year Treasury yield, S&P 500, unemployment). We rei...
Read more