Awesome that @JensenHuang is now on X. Great commentary on Openweights. Interesting that $META & $MSFT (owns ~27% OpenAI) is in the list of logos but OpenAI, Anthropic & the two other big public cloud hyperscalers, $AMZN & $GOOGL are not. Seems like battle lines have been drawn.
Ohhhhh 😭😭😭😭🤦🤦
Then an adult elephant stepped in, gently lifting the child back to safety with incredible care and strength.
Moments like this remind us that kindness, courage, and protection exist even in the wild❤️
Three foundational books every single aspirational person should read.
-The Richest Man in Babylon by George Clason
-How to Win Friends and Influence People by Dale Carnegie
-Think and Grow Rich by Napoleon Hill
Write notes in the margins.
These books have been foundational for me and I genuinely believe they can change the trajectory of your life.
Pick them up. You can get through all three in a week.
How does Strategy navigate a challenging Bitcoin market, return $STRC to par, and continue compounding Bitcoin per share?
In our Q2 earnings call, we laid out the strategy, reviewed our financial position and capital-management framework, and answered questions from equity analysts and industry experts.
Prepared Remarks
00:00:00 - Welcome
00:01:20 - 843,775 BTC, 203,683 sats per share, $17B raised year to date, and Strategy’s position as the largest institutional holder of Bitcoin
00:03:27 - Q2 balance sheet: $49.7B of digital assets, $3.75B current USD reserve, lower debt, higher preferred equity, and strong stress-case coverage
00:08:57 - Bitcoin KPIs: 4.5% BTC Yield, 29,997 BTC Gain, and ~3.6x growth in Bitcoin per share since 2020
00:12:47 - Q2 execution: higher Bitcoin holdings, lower debt, larger USD reserves, stronger Bitcoin per share, and active capital management
00:15:03 - Strategy as a net buyer of Bitcoin and net issuer of Digital Credit: 48x more BTC bought than sold and 300x more Digital Credit issued than repurchased
00:18:47 - Returning $STRC to $99–$100 through USD reserves, Bitcoin monetization, repurchases, dividend management, and disciplined issuance
00:24:50 - Bitcoin liquidity: why Strategy’s bitcoin purchases and sales are not material to overall Bitcoin trading volume
00:33:03 - Bitcoin as Digital Capital: website metrics, the 200-week moving average, current headwinds, Bitcoin Dominance, banking adoption, and security coordination
00:44:08 - $STRC as flagship Digital Credit: liquidity, lower volatility, market depth, yield, investor base, path to par, and updated credit metrics
01:05:04 - Equity framework: hurdle rate, breakeven rate, floor rate, market skepticism, $MSTR outperformance, franchise advantages, and Strategy’s long-term ambition
Q&A
01:19:31 - Why Bitcoin-backed borrowing is not currently the preferred path to build USD reserves
01:23:11 - Why Strategy is consolidating around $STRC instead of creating more instruments or selling volatility
01:40:37 - Equitizing, repaying, or refinancing convertible debt
01:43:18 - Covered calls, cash-secured puts, Digital Credit, Bitcoin as money, and marketing products to the 99% outside Bitcoin
01:59:22 - USD reserve minimums and the path to $STRC trading at par
02:00:55 - Amplification, USD/BTC reserve mix, and countercyclical capital management
02:12:04 - Why Strategy does not intend to issue $STRC below par
02:20:34 - Lessons from 2022 and 2026, tokenized securities, Digital Money, and the June 26 $STRC dislocation
02:34:54 - Closing remarks
An Anthropic engineer shared the exact system they use as a second brain.
Three folders. One file. One evening to build.
Most people use Claude the same way every day. Open a new tab. Rebuild context. Get an answer. Close the tab. Tomorrow it remembers nothing. You are still the one holding all the context. You are still the one resetting.
This architecture solves that problem.
The system is built around three folders and one file.
raw/ holds everything unstructured. Articles, transcripts, PDFs, voice memos, screenshots. Drop it in and never touch it again. Immutable ground truth.
wiki/ is where Claude converts everything in raw into structured, linked, cross-referenced knowledge. Clean. Organized. This is the folder Claude actually thinks from. The human reads it. The model writes it.
output/ is where finished work lands. Reports, posts, documents, presentations. Everything Claude builds using the wiki as its source.
At the center is CLAUDE.md. Not a prompt, but a persistent layer of identity, preferences, goals, and project context. Claude reads it before every session. You never explain yourself again.
Five automations run the system.
Ingest captures and extracts new sources into the wiki. Write retrieves context and drafts outputs. Manage links decisions to context. Review summarizes and updates. Maintain prunes and improves connections.
Every session adds to the system. Every source makes the wiki smarter. The returns compound over time.
One month in, context stops disappearing. Three months in, the vault surfaces ideas you forgot you had. Six months in, the gap between compounding and resetting becomes impossible to ignore.
Build once. Maintain daily. Let it compound.
Bookmark this.
Still the best hour on graph engineering ever recorded, Andrew Ng breaking down how to build agentic knowledge graphs from scratch:
00:00 - what agentic knowledge graphs actually are
03:05 - building a graph from scratch
13:58 - the architecture behind multi-agent systems
22:57 - building a real one with Google ADK
01:06:02 - why graphs are the future of AI agents
I've seen $500 courses that teach less.
Watch it, then take it further with my step-by-step guide on graph engineering below.
Best YouTube Channels to learn AI in 2026:
1. AI Explained
👉 https://t.co/zYDuUoKjXT…
2. Andrej Karpathy
👉 https://t.co/GdEFFWk0Kr…
3. Cole Medin
👉 https://t.co/ysHN4yfMfh
4. DeepLearningAI
👉 https://t.co/v3uvgFXT7Z…
5. Futurepedia
👉 https://t.co/X6x8dnwXx1…
6. Matthew Berman
👉 https://t.co/7HT6nrdggD…
7. Skill Leap AI
👉 https://t.co/fVueAh4IR0…
8. Tech With Tim
👉 https://t.co/CvbxHiJDKQ…
9. Tina Huang
👉 https://t.co/cJwWXiEo4p…
10. Two Minute Papers
👉 https://t.co/eN128AdLgg…
If you’d love to see more content like this, don’t forget to follow @sauda_coder for more AI magic.
ROI vs ROIC vs ROE vs ROCE vs ROA
Most CEOs use these metrics.
Few actually understand them.
Join my next free live executive masterclass and learn to use the right return metric every time → https://t.co/nM1LGQWZUT
Let’s break it down:
1️⃣ ROI: Return on Investment
• Formula: ROI = (Net Profit / Cost of Investment) * 100%
• Good for: Simple, one-off projects or campaigns.
• Caveat: It ignores the time value of money, so it’s not great for long-term investments.
2️⃣ ROIC: Return on Invested Capital
• Formula: ROIC = EBIT (1-Tax) / (Long-Term Debt + Equity - Non-Operating Cash)
• Good for: Evaluating how efficiently a company uses its invested capital.
• Caveat: If a company has large non-operating cash, this number might look artificially strong.
3️⃣ ROE: Return on Equity
• Formula: ROE = Net Income / Equity
• Good for: Investors who want to know how well their equity is being used.
• Caveat: Be cautious—excessive leverage can inflate ROE, making it seem better than it is.
4️⃣ ROCE: Return on Capital Employed
• Formula: ROCE = EBIT / (Long-Term Debt + Equity)
• Good for: Measuring profitability and efficiency in capital usage.
• Caveat: It doesn’t account for the cost of debt, which can make it less reliable for heavily leveraged companies.
5️⃣ ROA: Return on Assets
• Formula: ROA = Net Income / Total Assets
• Good for: Understanding how effectively a company uses its assets to generate profit.
• Caveat: ROA tends to look lower for capital-intensive industries because it includes depreciation.
The takeaway?
No single metric tells the whole story.
• Use ROI for campaign or project analysis.
• Use ROIC to measure long-term efficiency.
• Use ROE to evaluate equity returns for investors.
• Use ROCE to understand capital efficiency.
• Use ROA to assess how well assets are being used.
♦
Follow @IAmOanaLabes for daily strategic finance.
🚨A man spends 50 years teaching at MIT.
He knows his time is running out.
So he records one last lecture — everything he knows, distilled into a single hour.
He died 5 months later.
This is that lecture.
The most important hour you'll watch this week. 👇
Bookmark it for later
🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch the session
I turned Claude into an entire company
42 skills, organized like a real org chart
Every department is real
Every skill is installable from the links below
Developers
Superpowers
→ https://t.co/rbnckHc8Vy
Context7
→ https://t.co/vK0vhqDnjH
Skill Creator
→ https://t.co/7jPuOyRzdP
MCP Builder
→ https://t.co/7jPuOyRzdP
Webapp Testing
→ https://t.co/7jPuOyRzdP
Claude-Mem
→ https://t.co/SZsepKc8ql
Designers
UI UX Pro Max
→ https://t.co/GnmA33NKW8
Taste
→ https://t.co/OC1vHFPL9T
Frontend Design
→ https://t.co/OC1vHFPL9T
Transitions
→ https://t.co/8Kpxinbr3E
Web Artifacts
→ https://t.co/7jPuOyRzdP
Brand Guidelines
→ https://t.co/7jPuOyRzdP
Marketing
45 skills for copywriting, SEO, lead magnets, and campaigns
Access them here
→ https://t.co/E4TAGe0mUf
Social Media
17 skills for posts, Reels, thumbnails, and content ops
Access them here
→ https://t.co/zf9FUvCWnK
Finance
8 skills for statements, reconciliation, and audits
Access them here
→ https://t.co/ys4veG4XXZ
Small Business
31 skills for cash flow, payroll, invoicing, and operations
Access them here
→ https://t.co/FBfnfDSdnE
Legal
9 skills for contract review, NDAs, and compliance
Access them here
→ https://t.co/q76eyBKdwb
Not prompts
Not wrappers
A real operating stack for Claude
Bookmark this and build your own AI company
Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch. Stanford taught the entire thing in 1 hour lecture & released it for free.
Bookmark & watch this today before someone takes it down and read this article below.
🇺🇸MICHAEL SAYLOR:
“WORKING HARD IS THE WORST ADVICE YOU CAN GET.”
“AI WILL OUTWORK YOU.”
“ROBOTS WILL OUTWORK YOU.”
“YOUR SKILLS ARE BEING DEMONETIZED.”
“YOUR LABOR IS LOSING VALUE EVERY SINGLE DAY.”
THE PEOPLE WHO KEEP SELLING THEIR TIME WILL STRUGGLE.
THE PEOPLE WHO OWN SCARCE ASSETS WILL WIN.
THIS IS WHY I’M ALL IN ON BITCOIN.
YOU CAN ALWAYS PRINT MORE MONEY.
YOU CAN ALWAYS BUILD MORE COMPANIES.
YOU CAN NEVER CREATE MORE THAN 21 MILLION BITCOIN.
THE WORLD IS CHANGING FASTER THAN MOST PEOPLE REALIZE.
ADAPT…
OR GET LEFT BEHIND.
Theres a reason everyone from the Pentagon to Katy Perry wants a piece of Claude.
AI just made a massive leap... and the guardrails are coming off at the exact same time. Our new digital piece on what's actually happening