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Hidden Value Gems
Enjoyed this summary by @polymathinvest1 on how to improve your chances for success in life 👇🏼
1⃣Take more shots
2⃣Be visible
3⃣Meet the right people
4⃣Position yourself well
5⃣Protect your downside
6⃣Stay flexible
7⃣Notice Opportunities
8⃣Turn Bad Luck Into Advantage
9⃣Compound Over time
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Enjoyed this summary by @polymathinvest1 on how to improve your chances for success in life 👇🏼
1⃣Take more shots
2⃣Be visible
3⃣Meet the right people
4⃣Position yourself well
5⃣Protect your downside
6⃣Stay flexible
7⃣Notice Opportunities
8⃣Turn Bad Luck Into Advantage
9⃣Compound Over time
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Brady Long
R.I.P basic RAG ☠️
Graph-based retrieval is the new standard.
Top engineers at OpenAI, Anthropic, and Microsoft don’t build RAG the usual way.
They don’t start with vector search.
They start by building knowledge graphs.
Here are 7 practical ways to use graph RAG instead of plain vector search:
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R.I.P basic RAG ☠️
Graph-based retrieval is the new standard.
Top engineers at OpenAI, Anthropic, and Microsoft don’t build RAG the usual way.
They don’t start with vector search.
They start by building knowledge graphs.
Here are 7 practical ways to use graph RAG instead of plain vector search:
tweet
Offshore
Video
God of Prompt
RT @godofprompt: 🚨 Anthropic just dropped Cowork and it's changing everything.
Claude Code wasn't just for developers anymore. Now anyone can use the same AI agent power for ANY work.
Available today for Claude Max subscribers on macOS.
Here's why this matters ↓ https://t.co/rFj2v9StLb
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RT @godofprompt: 🚨 Anthropic just dropped Cowork and it's changing everything.
Claude Code wasn't just for developers anymore. Now anyone can use the same AI agent power for ANY work.
Available today for Claude Max subscribers on macOS.
Here's why this matters ↓ https://t.co/rFj2v9StLb
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God of Prompt
RT @godofprompt: I collected every NotebookLM prompt that went viral on Reddit, X, and research communities.
These turned a "cool AI toy" into a research weapon that does 10 hours of work in 20 seconds.
16 copy-paste prompts. Zero fluff.
Steal them all 👇 https://t.co/xRiTcsUnHi
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RT @godofprompt: I collected every NotebookLM prompt that went viral on Reddit, X, and research communities.
These turned a "cool AI toy" into a research weapon that does 10 hours of work in 20 seconds.
16 copy-paste prompts. Zero fluff.
Steal them all 👇 https://t.co/xRiTcsUnHi
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God of Prompt
🚨 I analyzed 2,847 AI safety papers from 2020-2024. 94% test on the same 6 benchmarks.
Worse: I can modify one line of code and score "state-of-the-art" on all 6—without improving actual safety.
Academic AI research is systematic p-hacking. Here's how the entire field is broken:
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🚨 I analyzed 2,847 AI safety papers from 2020-2024. 94% test on the same 6 benchmarks.
Worse: I can modify one line of code and score "state-of-the-art" on all 6—without improving actual safety.
Academic AI research is systematic p-hacking. Here's how the entire field is broken:
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Dimitry Nakhla | Babylon Capital®
RT @DimitryNakhla: While this would be great, I don’t think 200–300% in 5 years is an “easy” assumption🤔
$NFLX is definitely interesting here & I’ve shared my thoughts recently, but the math matters
If $NFLX hits 2028 EPS est. of $4.48 and then grows EPS at 15% CAGR from 2028–2030, you get roughly $5.92 in 2030 EPS
At a 30x multiple (essentially minimal multiple expansion), that implies a ~$178 share price — about a +98% return
To get 200–300%, you’d need materially higher earnings and/or significant multiple expansion
Possible? Sure. Yet, Unlikely
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RT @DimitryNakhla: While this would be great, I don’t think 200–300% in 5 years is an “easy” assumption🤔
$NFLX is definitely interesting here & I’ve shared my thoughts recently, but the math matters
If $NFLX hits 2028 EPS est. of $4.48 and then grows EPS at 15% CAGR from 2028–2030, you get roughly $5.92 in 2030 EPS
At a 30x multiple (essentially minimal multiple expansion), that implies a ~$178 share price — about a +98% return
To get 200–300%, you’d need materially higher earnings and/or significant multiple expansion
Possible? Sure. Yet, Unlikely
Buy and hold $NFLX for 5 years from here probably an easy 200-300% play. https://t.co/cE7GbfVQpT tweet
Offshore
Video
God of Prompt
RT @godofprompt: 🚨 Anthropic just dropped Cowork and it's changing everything.
Claude Code wasn't just for developers anymore. Now anyone can use the same AI agent power for ANY work.
Available today for Claude Max subscribers on macOS.
Here's why this matters ↓ https://t.co/rFj2v9StLb
tweet
RT @godofprompt: 🚨 Anthropic just dropped Cowork and it's changing everything.
Claude Code wasn't just for developers anymore. Now anyone can use the same AI agent power for ANY work.
Available today for Claude Max subscribers on macOS.
Here's why this matters ↓ https://t.co/rFj2v9StLb
tweet
Offshore
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Moon Dev
dont miss this one
You're not gonna wanna miss today's Zoom.
I'm going to be showing you real results of real backtests on this liquidation data.
This is an approach to the market that nobody else takes.
See it all for yourself if there's still a ticket available.
join: https://t.co/Aw7dcEw2RV
moon dev
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dont miss this one
You're not gonna wanna miss today's Zoom.
I'm going to be showing you real results of real backtests on this liquidation data.
This is an approach to the market that nobody else takes.
See it all for yourself if there's still a ticket available.
join: https://t.co/Aw7dcEw2RV
moon dev
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Offshore
Video
Startup Archive
Marc Andreessen on AI: “This is clearly bigger than the Internet”
“This is the biggest technological revolution of my life,” a16z co-founder Marc Andreessen begins. “This is clearly bigger than the Internet. The comps on this are things like the microprocessor, the steam engine, and electricity.”
Marc explains:
“The reason this is so big is if you trace back to the 1930s (there’s a great book called Rise of the Machines that goes through this), there was actually a debate among the people who invented the computer. They understood the theory of computation before they built the things, and they had this big debate over whether the computer should be built in the image of what at the time were called ‘Calculating Machines’ — think cash registers (IBM was actually the successor to the National Cash Register Company of America) — and that was the path that the industry took, building these hyper-literal, mathematical machines that could execute mathematical operations billions of times per second . . . that’s the computer industry that got built over the last 80 years.”
However, there was another path considered:
“They understood the structure of the human brain and had a theory of human cognition and neural networks. The first neural network academic paper was published in 1943. You can watch an interview on YouTube with the author [Warren] McCulloch — it’s an amazing interview because it’s him in his beach house and for some reason he’s not wearing a shirt, and he’s talking about this future in which computers will be built on the model of the human brain through neural networks. And that was the path not taken. But the neural network as an idea continued to be explored in academia and advanced research by a sort of rump movement that was originally called Cybernetics and then became known as Artificial Intelligence basically for the last 80 years. And essentially it didn’t work. It was decade after decade of excessive optimism, followed by disappointment.”
Marc continues:
“But the scientists kept working on it to their credit, and they built up this enormous reservoir of concepts and ideas. Then basically we all saw what happened with the ChatGPT moment. All of a sudden it crystalized, and it was like, ‘Oh my God, it turns out it works.’ That’s the moment we’re in now, and really significantly, that was less than three years ago . . . We’re sort of three years into effectively an 80-year revolution.”
Video source: @a16z (2026)
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Marc Andreessen on AI: “This is clearly bigger than the Internet”
“This is the biggest technological revolution of my life,” a16z co-founder Marc Andreessen begins. “This is clearly bigger than the Internet. The comps on this are things like the microprocessor, the steam engine, and electricity.”
Marc explains:
“The reason this is so big is if you trace back to the 1930s (there’s a great book called Rise of the Machines that goes through this), there was actually a debate among the people who invented the computer. They understood the theory of computation before they built the things, and they had this big debate over whether the computer should be built in the image of what at the time were called ‘Calculating Machines’ — think cash registers (IBM was actually the successor to the National Cash Register Company of America) — and that was the path that the industry took, building these hyper-literal, mathematical machines that could execute mathematical operations billions of times per second . . . that’s the computer industry that got built over the last 80 years.”
However, there was another path considered:
“They understood the structure of the human brain and had a theory of human cognition and neural networks. The first neural network academic paper was published in 1943. You can watch an interview on YouTube with the author [Warren] McCulloch — it’s an amazing interview because it’s him in his beach house and for some reason he’s not wearing a shirt, and he’s talking about this future in which computers will be built on the model of the human brain through neural networks. And that was the path not taken. But the neural network as an idea continued to be explored in academia and advanced research by a sort of rump movement that was originally called Cybernetics and then became known as Artificial Intelligence basically for the last 80 years. And essentially it didn’t work. It was decade after decade of excessive optimism, followed by disappointment.”
Marc continues:
“But the scientists kept working on it to their credit, and they built up this enormous reservoir of concepts and ideas. Then basically we all saw what happened with the ChatGPT moment. All of a sudden it crystalized, and it was like, ‘Oh my God, it turns out it works.’ That’s the moment we’re in now, and really significantly, that was less than three years ago . . . We’re sort of three years into effectively an 80-year revolution.”
Video source: @a16z (2026)
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