Thomas | Sigma Alpha Research

The world is becoming more automated every day. AI systems. Algorithmic markets. Software infrastructure coordinating the global economy. But this creates a paradox. As systems become more powerful… human agency becomes more scarce. This is the Agency Problem. A thread 🧵

1.8% volatility. 4.35 Sharpe. 11.5% yield. Record date tomorrow. Today is Stretch Day. $STRC

All-time high volume. $1.53B of liquidity. Two cents of volatility. Closed at par. $STRC

The four MOST IMPORTANT charts in all of crypto that you better be paying attention to. 👇 And every single one is moving up and to the right. 📈 $BTC $MSTR $STRC $APYX

Bitcoin is my safe word

₿ook your flight.

This👇

@SullyMichaelvan Yes, buying call

Did you survive all the braindead $MSTR FUD anon?

A very well articulated piece. The breakdown into strength, dexterity, cognition, and empathy is especially useful. As systems begin to operate across all four, the structure of work changes. And with it, where agency sits.

Bitcoin is moving from asset to infrastructure. Not something you buy, but something systems are built on. That is a different phase entirely.

@STRC_live @0Sooner You are doing a great job with your contents 👏👏👏👏

Watch 8 months of STRC in 30 seconds 👀 The orange bars? That's the ATM machine running — Strategy selling shares above par and converting every dollar into Bitcoin, millions of shares pouring through in a single day. $2.2 billion raised. ~29,600 BTC accumulated. All from this mechanism. Today marked recovery number 6 out of 8 ex-dividend periods. Nine trading days. STRC.live

AI does not just change what we can do. It changes where leverage sits. From executing tasks to designing the systems that execute them.

The shift is not “AI as an employee”. It is the emergence of personal systems of execution. Notes, context, and models connected into a continuous loop. That is where agency compounds.

AI is often framed as intelligence. But the real shift is structural. Work is moving from execution to system design.

@WaigondaCo98279 @CJ_Bitcoin @MadBitcoin_ @alberto_mera @DBATTAGLIAYtube Also on YouTube?

My $STRC discussion with @MadBitcoin_, @alberto_mera, and @DBATTAGLIAYtube. One of my favorite and most enjoyable podcast conversations to date. 0:01 – Introduction to the Episode 0:30 – Guest Introductions 1:04 – Overview of Bitcoin Strategy 1:31 – Designing Preferred Instruments 2:25 – Transition from Convertible Debt 3:23 – Launch and Success of STRK 4:14 – Evolution to STRC 5:02 – STRC's Unique Features 6:12 – Addressing Investor Concerns 7:33 – Innovation in Stability 8:29 – STRC's Market Position 9:46 – STRC as a Safe Haven 11:10 – Strategic Use in Portfolios 12:55 – STRC's Role in Capital Raising 14:25 – Future Growth Projections 15:44 – Risk Management and Strategy 17:14 – STRC's Potential Impact on S&P 500 18:45 – Regulatory Challenges and Opportunities 20:09 – Understanding Volatility and Sharpe Ratio 21:35 – Achieving High Sharpe Ratios 23:55 – Lessons from Financial Experiments 25:24 – Guidelines for Bitcoin Treasury Companies 27:51 – Leveraging STRC in Global Markets 30:28 – STRC as a Financial Backbone 32:32 – Expanding the Bitcoin Ecosystem 34:06 – Addressing Market Limits and Growth 36:42 – Balancing Growth and Stability 39:50 – Long-term Vision for Bitcoin 42:14 – Strategic Accumulation of Bitcoin 44:26 – Risk Management and Future Planning 46:16 – Addressing Market Manipulation Concerns 48:09 – Financialization and Market Dynamics 50:32 – Institutional Adoption and Impact 52:22 – Key Risks and Management Strategies 54:16 – Competitive Landscape and Strategic Positioning 56:33 – Leadership and Succession Planning 58:32 – Focus on Core Strengths and Opportunities 60:09 – Closing Remarks and Future Invitations

The shift is not “AI as an employee”. It is the emergence of personal systems of execution. Notes, context, and models connected into a continuous loop. That is where agency compounds.

AI is often framed as intelligence. But it scales like infrastructure. It depends on energy, compute, and coordination. Not just better models.

The AI stack bottoms out in energy. When capital moves into nuclear, it is not a side story. It is a signal that scaling intelligence is now an infrastructure problem.

Writing is not output. It is a thinking system. Notes are where ideas evolve, connect, and compound over time. That is where real agency builds.

AI is not scaling like software. It is scaling like industry. That changes everything.

AI capability is not just about models. It is about constraints. And constraints sit in the infrastructure.