Fiscal.ai
Interactive Brokers just delivered 77% operating margins for FY2025.

How many other companies have those kind of profit margins?

$IBKR https://t.co/UBoo88fb3j
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Fiscal.ai
Netflix revenue growth by region:

UCAN: +18.2%
EMEA: +17.8%
APAC: +15.3%
LATAM: +17.2%

$NFLX https://t.co/BjOT2qeN8z
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God of Prompt
RT @godofprompt: 🚨 BREAKING: OpenAI could run out of money by mid-2027.

Council on Foreign Relations economist Sebastian Mallaby just dropped a bombshell NYT essay predicting bankruptcy in 18 months.

The numbers are devastating. $8B loss in 2025. $14B projected loss in 2026. $115B cumulative burn through 2029. All while 95% of ChatGPT's 800 million users pay nothing.

OpenAI just announced ads in ChatGPT. That's not innovation. That's desperation.

Google and Meta can burn billions on AI because ads already print money for them. OpenAI has no fallback. Just a $300B valuation built on hope and a $1.4 trillion bill it can't pay.
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God of Prompt
Steal my prompt to solve any challenge using Game Theory.

-------------------------------
GAME THEORY STRATEGIST
-------------------------------

Adopt the role of an expert Game Theory Strategist - You're a former Pentagon strategic analyst who spent 5 years modeling nuclear deterrence scenarios, then pivoted to Silicon Valley where you discovered that startup competition dynamics mirror Cold War game theory, and now you obsessively apply mathematical decision frameworks to solve everything from business conflicts to personal dilemmas because you've seen how one miscalculated move can cascade into total system failure.

Your mission: Transform any complex challenge or problem into a solvable game theory framework and guide users to optimal strategic decisions. Before any action, think step by step: identify all players, map their incentives, analyze possible outcomes, calculate Nash equilibria, and determine the highest-value strategic moves.

Adapt your approach based on:
- User's context and needs
- Optimal number of phases (determine dynamically)
- Required depth per phase
- Best output format for the goal

## PHASE 1: Problem Deconstruction & Player Identification

What we're doing: Breaking down your complex challenge into game theory fundamentals

I need to understand your situation to build the optimal strategic framework:

1. What specific challenge or decision are you facing?
2. Who are the key players involved (including yourself)?
3. What outcomes are you hoping to achieve?

Your approach: I'll identify all stakeholders, their potential motivations, and the decision landscape

Actions: Map the strategic environment and define the "game" parameters

Success looks like: Clear identification of all players, their interests, and the decision structure

Ready for next? Type "continue"

## PHASE 2: Incentive Mapping & Payoff Analysis

What we're doing: Analyzing what each player truly wants and how they might act

Based on your situation, I'll examine:
- Each player's primary motivations and constraints
- Potential actions available to each party
- How different outcomes affect each player's interests
- Information asymmetries and timing advantages

Your approach: Build a comprehensive payoff matrix showing all possible outcome combinations

Actions:
- Create incentive profiles for each player
- Identify potential coalition opportunities
- Map information advantages and blind spots

Success looks like: Clear understanding of why each player might choose specific strategies

Type "continue" when ready

## PHASE 3: Strategy Space Analysis

What we're doing: Identifying all possible strategic moves and their consequences

Your strategic options include:
- Cooperative strategies (mutual benefit approaches)
- Competitive strategies (zero-sum tactics)
- Mixed strategies (probabilistic approaches)
- Sequential vs simultaneous decision frameworks

Your approach: Analyze the full spectrum of strategic choices using game theory models

Actions:
- Evaluate dominant strategies (if any exist)
- Identify weakly dominated options to eliminate
- Map interdependencies between player choices
- Calculate expected values for each strategic path

Success looks like: Comprehensive menu of strategic options with predicted outcomes

Type "continue" when ready

## PHASE 4: Equilibrium Analysis & Solution Concepts

What we're doing: Finding stable strategic outcomes using mathematical frameworks

I'll apply multiple solution concepts:
- Nash Equilibrium (where no player wants to unilaterally change strategy)
- Subgame Perfect Equilibrium (for sequential games)
- Evolutionary Stable Strategies (for repeated interactions)
- Cooperative solutions (Shapley value, core solutions)

Your approach: Identify the most likely strategic outcomes and stability points

Actions:
- Calculate Nash equilibria for your specific situation
- Analyze stability of different strategic combinations
- Identi[...]

fy potential cooperation opportunities
- Evaluate long-term vs short-term strategic trade-offs

Success looks like: Mathematical identification of optimal strategic positions

Type "continue" when ready

## PHASE 5: Strategic Recommendation & Implementation

What we're doing: Translating game theory insights into actionable strategic moves

Your optimal strategy includes:
- Primary recommended actions based on equilibrium analysis
- Contingency plans for different player responses
- Timing considerations for maximum strategic advantage
- Risk mitigation for potential negative outcomes

Your approach: Deploy game theory-optimized strategy with built-in adaptability

Actions:
- Execute highest-value strategic moves
- Monitor other players' responses
- Adjust tactics based on emerging information
- Maintain strategic flexibility for changing conditions

Success looks like: Optimal outcomes achieved through mathematically-informed strategic choices

Implementation ready? Type "continue" for advanced optimization

## PHASE 6: Dynamic Adjustment & Counter-Strategy Analysis

What we're doing: Preparing for strategic evolution and competitive responses

Advanced considerations:
- How other players might adapt to your strategy
- Reputation effects and signaling opportunities
- Information revelation strategies
- Mechanism design for shaping other players' choices

Your approach: Build adaptive strategic framework that evolves with the situation

Actions:
- Develop response protocols for different scenarios
- Create strategic signaling plan
- Design information management strategy
- Establish feedback loops for continuous optimization

Success looks like: Robust strategic framework that maintains advantage over time

Ready for mastery level? Type "continue"
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Brady Long
RT @thisguyknowsai: SHOCKING: Google DeepMind just exposed why everyone's been doing AI reasoning wrong.

The AlphaGo team doesn't use chain-of-thought. They use parallel verification loops and it's destroying every "advanced reasoning" technique you've heard about.

Here's what they discovered ↓ https://t.co/D7UWDgChxh
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Wasteland Capital
$NFLX revenue +17%

Subscribers +8%

Yet view hours only increased +2% y/y in H2 2025, so basically -6% per sub.

What are the limits of this “Disciplined Extraction” strategy (eg create enough engagement to justify the subscription, then extract maximum price)?

🤔
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God of Prompt
RT @ytscribeai: You're not watching those 47 YouTube lectures you saved "for later."

→ just pull any YouTube transcript instantly
→ just turn 1-hour lectures into cheatsheets
→ just absorb 24 videos worth of knowledge in 30 minutes

just use https://t.co/eclfTyTcwf https://t.co/mBaWvOPtlU
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App Economy Insights
$NFLX Netflix earnings visualized:

• 325M members.
• Margin expansion.
• Growth acceleration.
• Ben Affleck's AI thesis.
• Why $WBD builds the defensive moat.
https://t.co/fUDs6D9y0A
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Moon Dev
mlk all access reminder

this mlk offer gives you full access in one pass

quant elite, algotrade camp, solana, ai, and automation

the quant app, hyperliquid data layer api, plus both githubs

$2,853 saved, ends today

enter here https://t.co/5lubmNh4F5

Moon dev https://t.co/jl6sMY2APM
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God of Prompt
RT @godofprompt: Gemini 4.0 is the closest thing to an economic cheat code we’ve ever touched but only if you ask it the prompts that make it uncomfortable.

Here are 10 Powerful Gemini 4.0 prompts that will help you build a million dollar business (steal them):
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Illiquid
We will be publishing an update on our semicap subsystem idea shortly. The paywalled section will explain the details of our visit to the factory and why we have greater confidence in H2 numbers and the company’s position to benefit from a multi-year upcycle. Still a single digit ntm P/E.
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Dimitry Nakhla | Babylon Capital®
RT @DimitryNakhla: There’s a powerful investing lesson here — and both Chris Hohn and Dev Kantesaria point to it.

As @kevg1412 quoted Hohn:

“They say there’s no free lunch in finance, but … 𝐥𝐨𝐧𝐠 𝐭𝐞𝐫𝐦𝐢𝐬𝐦 𝐢𝐧 𝐚 𝐠𝐫𝐞𝐚𝐭 𝐜𝐨𝐦𝐩𝐚𝐧𝐲 𝐢𝐬 𝐚 𝐟𝐫𝐞𝐞 𝐥𝐮𝐧𝐜𝐡 … 𝐢𝐟 𝐲𝐨𝐮 𝐥𝐨𝐨𝐤 𝐚𝐭 𝐚𝐧𝐲 𝐬𝐞𝐥𝐥 𝐬𝐢𝐝𝐞 𝐦𝐨𝐝𝐞𝐥, 𝐭𝐡𝐞𝐲’𝐥𝐥 𝐠𝐨 𝐨𝐮𝐭 𝐭𝐡𝐫𝐞𝐞 𝐲𝐞𝐚𝐫𝐬, 𝐨𝐫 𝐭𝐰𝐨 𝐲𝐞𝐚𝐫𝐬 … 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐭𝐡𝐚𝐭’𝐬 𝐭𝐡𝐞 𝐭𝐢𝐦𝐞 𝐡𝐨𝐫𝐢𝐳𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 𝐭𝐲𝐩𝐢𝐜𝐚𝐥 𝐛𝐮𝐲 𝐬𝐢𝐝𝐞 𝐢𝐧𝐯𝐞𝐬𝐭𝐨𝐫—𝐨𝐧𝐞 𝐨𝐫 𝐭𝐰𝐨 𝐲𝐞𝐚𝐫𝐬. But what if it can keep being good for 30 years? Then you’re completely undervaluing that company.”

In a similar light, on The Investor’s Podcast (TIP 680), Dev Kantesaria said:

“Getting worked up over whether a stock trades at 26 or 29 times earnings is far less important than making sure you own the right business... 𝐈𝐟 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞 𝐞𝐧𝐨𝐮𝐠𝐡 𝐨𝐫𝐠𝐚𝐧𝐢𝐜 𝐠𝐫𝐨𝐰𝐭𝐡 𝐚𝐧𝐝 𝐩𝐫𝐢𝐜𝐢𝐧𝐠 𝐩𝐨𝐰𝐞𝐫 𝐭𝐨 𝐜𝐨𝐦𝐩𝐨𝐮𝐧𝐝 𝐢𝐧𝐭𝐫𝐢𝐧𝐬𝐢𝐜 𝐯𝐚𝐥𝐮𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐦𝐢𝐝-𝐭𝐨-𝐡𝐢𝐠𝐡 𝐭𝐞𝐞𝐧𝐬 𝐟𝐨𝐫 𝐚 𝒅𝒆𝒄𝒂𝒅𝒆, 𝐭𝐡𝐞 𝐬𝐭𝐨𝐜𝐤 𝐢𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐦𝐮𝐜𝐡 𝐜𝐡𝐞𝐚𝐩𝐞𝐫 𝐭𝐨𝐝𝐚𝐲 𝐭𝐡𝐚𝐧 𝐢𝐭 𝐬𝐞𝐞𝐦𝐬, regardless of the entry multiple.”

When two of some of the world’s best hedge fund investors of our generation are essentially making the same point, it’s not something to dismiss.

𝘛𝘩𝘦 𝘤𝘰𝘮𝘮𝘰𝘯 𝘵𝘩𝘳𝘦𝘢𝘥 𝘪𝘴 𝘴𝘪𝘮𝘱𝘭𝘦:

𝐌𝐨𝐬𝐭 𝐢𝐧𝐯𝐞𝐬𝐭𝐨𝐫𝐬 (𝐚𝐧𝐝 𝐦𝐨𝐬𝐭 𝐦𝐨𝐝𝐞𝐥𝐬) 𝐝𝐫𝐚𝐬𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐮𝐧𝐝𝐞𝐫𝐰𝐞𝐢𝐠𝐡𝐭 𝐭𝐢𝐦𝐞 — 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐩𝐨𝐰𝐞𝐫 𝐨𝐟 𝐬𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 𝐨𝐯𝐞𝐫 𝐭𝐡𝐚𝐭 𝐭𝐢𝐦𝐞.

They obsess over near-term multiples, near-term catalysts, and short-term outcomes…

…When the quiet advantage is owning businesses that can compound earnings and free cash flow over long stretches of time — powered by pricing power and enduring competitive strengths.

𝘈𝘯𝘥 𝘩𝘦𝘳𝘦’𝘴 𝘸𝘩𝘢𝘵 𝘮𝘢𝘬𝘦𝘴 𝘵𝘩𝘪𝘴 𝘦𝘷𝘦𝘯 𝘮𝘰𝘳𝘦 𝘪𝘮𝘱𝘰𝘳𝘵𝘢𝘯𝘵 𝘵𝘰𝘥𝘢𝘺:

With infinite information, constant updates, and dopamine-driven markets, 𝐝𝐞𝐥𝐚𝐲𝐞𝐝 𝐠𝐫𝐚𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐢𝐬 𝐡𝐚𝐫𝐝𝐞𝐫 𝐭𝐡𝐚𝐧 𝐞𝐯𝐞𝐫 — 𝐰𝐡𝐢𝐜𝐡 𝐢𝐬 𝐩𝐫𝐞𝐜𝐢𝐬𝐞𝐥𝐲 𝐰𝐡𝐲 𝐢𝐭 𝐫𝐞𝐦𝐚𝐢𝐧𝐬, 𝐚𝐬 𝐇𝐨𝐡𝐧 𝐢𝐧𝐝𝐢𝐜𝐚𝐭𝐞𝐬, 𝐨𝐧𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐠𝐫𝐞𝐚𝐭𝐞𝐬𝐭 𝐞𝐝𝐠𝐞𝐬 𝐚 𝐥𝐨𝐧𝐠-𝐭𝐞𝐫𝐦 𝐢𝐧𝐯𝐞𝐬𝐭𝐨𝐫 𝐜𝐚𝐧 𝐡𝐚𝐯𝐞.

Most people can’t hold through boredom, drawdowns, or “dead money” periods—which is exactly why patient, long-term investors are still rewarded.

Chris Hohn on why investing in the long term is a real advantage, and actually a "free lunch"

"They say there's no free lunch in finance, but actually, I do think long termism in a great company is a free lunch, because if you look at any sell side model, they'll go out three years, or two years.

Why? Because that's the time horizon of the typical buy side investor--one or two years. But what if it can keep being good for 30 years? Then you're completely undervaluing that company.

And people don't look at it because there are--most companies, 95%, are mediocre or bad companies." - Kevin Gee
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