Soros is a compound AI system built carefully from the ground up to trace a path (multiple paths, really) from a description of a geopolitical event all the way to capital market implications.
* Here's how we set it up:
Given a description of a given geopolitical event (can be a couple of words; the demo literally has "US-Iran conflict" as the entire string), Soros will - (1) first analyze and perform deep research on it, running scores of searches in parallel to gather deep context that's time-weighted for real events and can serve as background for hypothetical events ("PRC-Taiwan reunification crisis 2027") (2) map out relevant individual actors, factions, organizations, and their propensities, capabilities and salience under a variety of sociopolitical, military, and socioeconomic axes, (3) determine the key resources (or geopolitical chokepoints) whose control is being "negotiated" or fought over, (4) identify the landscape of key decisions that a subset of actors need to take, and the constraints and strategic options they have for each one, (5) generate forward-looking scenarios that incorporate potential paths weaving through each of the key decisions, (6) engage a full-blown Monte Carlo simulation engine and generate thousands of trajectories to estimate relative probabilities of each of the scenarios coming to pass, (7) analyze each scenario to generate likely capital flows and identify the sectors, industries, companies, currencies, and commodities most affected (direction and horizon) (8) identify key search phrases and X/Twitter accounts to track in order to periodically update the analysis
This is obviously a fairly complicated pipeline, with lots of moving components and potential failure points. In order to mitigate the worst aspects of this, we engage the services of Pyrrho (yup, we named it after the Greek philosopher dude), an AI agent that we have set up to be the harshest possible critic of Soros' intermediate and final outputs. Each step above is a delicate dance between Soros and Pyrrho, and this interaction serves to enhance the quality of the final output dramatically.
Once you have the analysis setup, you can perform the now-classic "Chat with Analysis" interaction by using the "Ask Soros" functionality. We have a separate chat model hooked up that is (hopefully sufficiently) guard-railed and context-injected enough to focus completely and exclusively on answering freeform questions about the analysis.
In the live non-demo system, the user has multiple ways of engaging further with the analysis: they can add new (private) information and do a re-run, they can mark out specific items from associated X/Twitter/search feeds, they can add new actors and resources, modify existing ones, delete some as needed, and basically run simulation after simulation to test out hypotheses (e.g. "What if China entered the conflict? What if France sent its nuclear subs to patrol the Straits of Hormuz?" etc.).
You can see the results of all of this, and more, at www.asksoros.com - there is a statically-served demo analysis of the current US-Iran conflict; we urge you to "Take a tour" of the interface to familiarize yourselves with it.
(Continuing the post with the first comment below..)
muggermuch•1h ago
First, let's address the elephant in the room: we were inspired by George Soros' theory of reflexivity and how human tendencies affect markets more prominently than expected. Yes, there's a corny backronym [0]. No, this is not a political statement or endorsement of his views.
Coming back to the main point, we (the founding team at Lookback Labs) have both spent a long time at the intersection of financial markets, technology, and machine learning. During that time, one key thing that kept bothering us [1] was simply this: when a geopolitical crisis breaks, an investor's actual problem is not really to find out "what is happening now" — it's more of "which scenario plays out, how likely is each one, and what do I buy, sell, or hedge under each? For how long?"
There are a ton of existing tools and services that seek to answer the first question reasonably well (newsletters such as StratFor, publications such as Foreign Affairs and Foreign Policy, Bloomberg terminals for breaking news, etc.).
None of these answer the other questions particularly deftly. Sure, one can engage with ChatGPT (or Claude if one prefers), and play through multiple scenarios. You will, of course, miss out on the grounded structural model that powers Soros' analysis, along with the simulations that serve up the relative probability estimates.
Also, one of the worst things purely LLM-based ad hoc frameworks do is assume that countries are monolithic decision-making units from a game-theoretic perspective. This is hardly the case - "Iran" doesn't make choices, Mojtaba and the IRGC faction does. "China" doesn't decide, the Politburo Committee does. And so on.
There are of course formal analytical frameworks that dig deeper, studying groups, factions, organizations that are jostling to gain control (Bruce Bueno de Mesquita's Expected Utility Model and selectorate theory [2] is the most academically serious and is a prime inspiration for our system design), but they are extraordinarily hard to operationalize in real time, and produce no market implications.
To sum up, the choices are stark: ask AI and hope for the best, or build out your own systematic framework to organize evidence, assumptions, and implications. We chose the latter path.
Zooming out, our mission at Lookback Labs (https://www.lookbacklabs.com/) is to build "the intelligence layer for AI-native investing"; accordingly, Soros is the first of several agentic systems that we are designing across the systematic and discretionary spaces, that are both usable and useful from the get go, and not merely demo eye candy.
* Some minor details:
(1) We are currently in private beta for Soros and are onboarding selectively.
(2) The static demo is not completely static; you can still chat with the analysis (up to 20 messages a day per IP).
(3) We are still working on pricing: something that captures the value Soros provides.
(4) We want this to work for individual investors as well, not just institutional desks, and would love to price accordingly.
We're curious to hear what the HN community thinks about our approach. AUA!
Feel free to reach out offline if you'd like! We are, sadly enough, on LinkedIn, but are also available via email (anshuman/karen@lookbacklabs.com)
PS: As is probably obvious to the diligent reader :), every token in this post has been lovingly handcrafted by the Lookback Labs team.
[0] Scenario-Oriented Reasoner for Opportunity Synthesis. Lol.
[1] Many things bothered us. Buy us drinks, get stories.
[2] We heartily recommend two of BdM's books: "Predicting Politics" and "The Dictator's Handbook"
chairmansteve•25m ago
muggermuch•10m ago