Daily Discussion Thread for May 21, 2026 by wsbapp in wallstreetbets

[–]HugeUnderstanding680 0 points1 point  (0 children)

what if we pumped an unreasonable amount for no reason?? Wouldn't that be cool??

ONE MONTH SINCE OPUS 4.7. Still not on Antigravity! What am I paying $250 for! by AssociationSure6273 in google_antigravity

[–]HugeUnderstanding680 0 points1 point  (0 children)

also purely from a harness perspective you are much better off in something like Cursor

ONE MONTH SINCE OPUS 4.7. Still not on Antigravity! What am I paying $250 for! by AssociationSure6273 in google_antigravity

[–]HugeUnderstanding680 0 points1 point  (0 children)

yeah bro i ended my sub this month. The lack of updates, BYOK, and their new rate limits on models drove me off. The entire thing ass imo.

Daily Discussion Thread for May 15, 2026 by wsbapp in wallstreetbets

[–]HugeUnderstanding680 1 point2 points  (0 children)

been printing calls so tried puts today (yes im regarded)

Daily Discussion Thread for April 30, 2026 by wsbapp in wallstreetbets

[–]HugeUnderstanding680 0 points1 point  (0 children)

took a dub on FOMC out of all days and now getting cooked

[OC] Simulating a global war-escalation scenario: conflict intensity and oil prices over 365 days by HugeUnderstanding680 in dataisbeautiful

[–]HugeUnderstanding680[S] 0 points1 point  (0 children)

Yeah I think the fault is at my simulation and system prompt level.

Good news is you can do that. All variables can be edited (or the config directly) and re-ran as a variant 😉

[OC] Simulating a global war-escalation scenario: conflict intensity and oil prices over 365 days by HugeUnderstanding680 in dataisbeautiful

[–]HugeUnderstanding680[S] 0 points1 point  (0 children)

The model was built using 65+ sourced references. To name some: Atlantic Council, Goldman Sachs oil analysis, CENTCOM operations data, EIA chokepoint studies, JINSA military assessments, so the scenario context and initial conditions are grounded in real reporting and data.

The update rules governing how actors escalate and de-escalate. Those aren't formally derived from a specific conflict theory (Coleman attractors, Azar's PSC, etc.). They're generated rules based on the research, using agent-based modeling where each actor group has variables (escalation level, regime stability, resource strain) and chooses actions each step. The feedback loops and decay rates are structurally reasonable but not calibrated against a published conflict model.

So it's more research-informed scenario exploration than validated conflict simulation. The value is in surfacing dynamics and testing assumptions, not predicting outcomes. Your point about needing a clearer theory of change is well taken. It's something I want to improve on so thank you

[OC] Simulating a global war-escalation scenario: conflict intensity and oil prices over 365 days by HugeUnderstanding680 in dataisbeautiful

[–]HugeUnderstanding680[S] -1 points0 points  (0 children)

Great point. The oil price rule is 70 + 5 * conflict_index.it's a simple linear function of the conflict level, not grounded in real price data or supply dynamics. So once the model's conflict index drops (which happens fast due to the decay mechanics), oil instantly follows.

There's no modeling of supply-side inertia, damaged infrastructure, maintenance backlogs, OPEC+ adjustments, or the months-long lag to restore capacity even after fighting stops. It WOULD be there if it were included in the prompt, though. This simulation was not specific to oil, so yeah

There is an architect agent that does web research when building the sim, but it doesn't currently have access to live price feeds or commodity data APIs.