ivanvendrov
@ivanvendrov
Past bets that played out
These are the clearest thesis calls with observable outcomes, linked back to the original videos.
A qualitative thesis: in a chaotic/progressive world, static planning/fortifications are less useful than investing in faster command/control systems and shortening decision/response loops (OODA). Implies relative preference for adaptive control, automation, real-time intelligence, and resilient communications over rigid, long-cycle planning projects.
A qualitative thesis: in a chaotic/progressive world, static planning/fortifications are less useful than investing in faster command/control systems and shortening decision/response loops (OODA). Implies relative preference for adaptive control, automation, real-time intelligence, and resilient communications over rigid, long-cycle planning projects.
A qualitative thesis: in a chaotic/progressive world, static planning/fortifications are less useful than investing in faster command/control systems and shortening decision/response loops (OODA). Implies relative preference for adaptive control, automation, real-time intelligence, and resilient communications over rigid, long-cycle planning projects.
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Latest videos and market context
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ivan @IvanVendrov 14h this makes me more sympathetic to people who are obsessed with all the terrible things happenin...
Tweet thread about social psychology/connection via focusing on negative news; no market, sector, company, or tradable information.
ivan @IvanVendrov Jul 17 researching air purifiers and just learned about the Corsi-Rosenthal Box. beautiful piece of...
A social post noting discovery of the DIY “Corsi–Rosenthal Box” air purifier (box fan + HVAC filters + tape). This is more of a consumer/DIY awareness signal than a market-moving catalyst, but it loosely points to demand for HVAC filters/box fans and home-improvement supplies.
federalism / subsidiarity (maximally delegate regulation to subagents) is another pointer to the solution space, alth...
The text is a high-level political/governance concept (federalism/subsidiarity; delegating regulation to subagents; concern about capture by the center). It contains no market data, no named companies, no sectors, and no concrete policy proposal or timeline; therefore it is minimally actionable for trading.
seems like the solutions are 1. prevent overly powerful agents from emerging 2. make sure the powerful agents aren't ...
The content is an abstract AI-safety/governance discussion: (1) prevent overly powerful AI agents from emerging, and/or (2) ensure powerful agents are aligned/enlightened and not acting as de-facto regulators. It implies a potential future where policy and safety constraints meaningfully shape AI development and commercialization.
Proof-backed call history
These are recent thesis calls tied to original source content where available.
A qualitative thesis: in a chaotic/progressive world, static planning/fortifications are less useful than investing in faster command/control systems and shortening decision/response loops (OODA). Implies relative preference for adaptive control, automation, real-time intelligence, and resilient communications over rigid, long-cycle planning projects.
A qualitative thesis: in a chaotic/progressive world, static planning/fortifications are less useful than investing in faster command/control systems and shortening decision/response loops (OODA). Implies relative preference for adaptive control, automation, real-time intelligence, and resilient communications over rigid, long-cycle planning projects.
A qualitative thesis: in a chaotic/progressive world, static planning/fortifications are less useful than investing in faster command/control systems and shortening decision/response loops (OODA). Implies relative preference for adaptive control, automation, real-time intelligence, and resilient communications over rigid, long-cycle planning projects.
A qualitative thesis: in a chaotic/progressive world, static planning/fortifications are less useful than investing in faster command/control systems and shortening decision/response loops (OODA). Implies relative preference for adaptive control, automation, real-time intelligence, and resilient communications over rigid, long-cycle planning projects.
A qualitative thesis: in a chaotic/progressive world, static planning/fortifications are less useful than investing in faster command/control systems and shortening decision/response loops (OODA). Implies relative preference for adaptive control, automation, real-time intelligence, and resilient communications over rigid, long-cycle planning projects.
A qualitative thesis: in a chaotic/progressive world, static planning/fortifications are less useful than investing in faster command/control systems and shortening decision/response loops (OODA). Implies relative preference for adaptive control, automation, real-time intelligence, and resilient communications over rigid, long-cycle planning projects.
A qualitative thesis: in a chaotic/progressive world, static planning/fortifications are less useful than investing in faster command/control systems and shortening decision/response loops (OODA). Implies relative preference for adaptive control, automation, real-time intelligence, and resilient communications over rigid, long-cycle planning projects.
A qualitative thesis: in a chaotic/progressive world, static planning/fortifications are less useful than investing in faster command/control systems and shortening decision/response loops (OODA). Implies relative preference for adaptive control, automation, real-time intelligence, and resilient communications over rigid, long-cycle planning projects.
The content is an abstract AI-safety/governance discussion: (1) prevent overly powerful AI agents from emerging, and/or (2) ensure powerful agents are aligned/enlightened and not acting as de-facto regulators. It implies a potential future where policy and safety constraints meaningfully shape AI development and commercialization.
The content is an abstract AI-safety/governance discussion: (1) prevent overly powerful AI agents from emerging, and/or (2) ensure powerful agents are aligned/enlightened and not acting as de-facto regulators. It implies a potential future where policy and safety constraints meaningfully shape AI development and commercialization.
The content is an abstract AI-safety/governance discussion: (1) prevent overly powerful AI agents from emerging, and/or (2) ensure powerful agents are aligned/enlightened and not acting as de-facto regulators. It implies a potential future where policy and safety constraints meaningfully shape AI development and commercialization.
The content is an abstract AI-safety/governance discussion: (1) prevent overly powerful AI agents from emerging, and/or (2) ensure powerful agents are aligned/enlightened and not acting as de-facto regulators. It implies a potential future where policy and safety constraints meaningfully shape AI development and commercialization.
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@ivanvendrov
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