MogulAzam MogulCoin

Ave Guy w Slightly Above Ave Ambitions
Just getting started
Biotech + Tech Invest For Future
More Precision
Unsupervised Learning
Likes BTC, NFTs, Crypto

[Reads with Ravi @readswithravi]

“Most older, successful people will tell you that their life was best when they lived it unapologetically, on their own terms.”

— Naval Ravikant

[MogulAzam MogulCoin @MogulAzam]

@DrEricDing Imagine All The Clowns in the World w All those Balloons using up all the Helium that gets released into the atmosphere

[Dustin @r0ck3t23]

Jeff Bezos just delivered the clearest definition of what artificial intelligence actually is.

The market is still debating which department should own the AI budget.

They’re asking the wrong question entirely.

Bezos: “AI, modern AI is a horizontal enabling layer. It can be used to improve everything. It will be in everything. This is most like electricity.”

This isn’t a software product. It’s the new utility grid of the global economy.

Don’t treat it like a feature update. Treat it like the invention of alternating current.

When a horizontal layer hits the board, it doesn’t improve a single vertical. It violently rewrites the baseline physics of every industry it touches.

The companies that survive this decade won’t be the ones that bought a new AI tool.

They’ll be the ones that ripped out their entire infrastructure and rewired the execution engine to run on the new grid.

Bezos: “Because we are literally working on a thousand applications internally. I guarantee you there is not a single application that you can think of that is not going to be made better by AI.”

The standard enterprise strategy is to launch one or two safe, isolated AI pilots and test the waters.

You don’t pilot a horizontal enabling layer. You saturate the board immediately.

Amazon isn’t building a single monolithic chatbot. It’s deploying a thousand specialized execution loops across every friction point in the empire.

If your deployment strategy isn’t total saturation, you’re already bleeding margin to someone whose is.

Interviewer: “What is it that you’re doing at Amazon?”

Bezos: “AI. It’s 95% AI.”

The standard CEO delegates automation strategy to a mid-level committee while focusing on quarterly earnings.

The operator commanding a trillion-dollar supply chain is spending 95 percent of his personal bandwidth on a single vector.

That is the market signal.

If the leader of your organization isn’t driving algorithmic integration from the top down with everything they have, the company is already dead.

It just hasn’t received the memo yet.

[Dustin @r0ck3t23]

A single operator with a chatbot just outmaneuvered the entire pharmaceutical discovery pipeline.

Australian tech entrepreneur Paul Conyngham cured his dog’s cancer.

No biology background.

Three thousand dollars.

ChatGPT and AlphaFold.

Conyngham: “We took her tumor, we sequenced the DNA, we converted it from tissue to data. And then we used that to find the problem in her DNA, and then develop a cure based off that. ChatGPT assisted throughout the entire process.”

He didn’t spend a decade in a lab.

He didn’t wait for a corporate grant.

He paid three thousand dollars to digitize a tumor and used the compute to solve it.

When one entrepreneur can use AlphaFold and an LLM to design a custom mRNA vaccine from scratch, the entire pharmaceutical discovery model is instantly exposed as friction.

The power to cure is no longer locked inside massive conglomerates.

It’s sitting on a laptop.

Professor Pall Thordarson: “I just didn’t think we could do this this quickly, and it would be in time to really help Rosie.”

The pharmaceutical industry measures progress in decades and billions.

The academic establishment is conditioned to expect total resistance.

Replace biological guesswork with algorithmic precision and the timeline violently collapses.

Professor Thordarson: “Once we had the sequence that Paul designed, it was less than two months from that point till we handed it over to Paul.”

One month after injection, the dog with a terminal diagnosis was jumping over fences.

Conyngham: “At the start of December, she was starting to shut down and be a bit sad. Towards the end of January, she was jumping over a fence to chase a rabbit.”

Professor Thordarson: “We can actually do this here. We don’t have to necessarily rely on foreign companies to help us doing this. And that means we can democratize this technology in Australia. And we can also use it for other diseases possibly.”

Biology has been translated into a data problem.

And data can be computed anywhere, by anyone, for almost nothing.

The greatest bottleneck in human health is no longer scientific knowledge.

It’s the institution standing between the knowledge and the patient.

One man. One chatbot. Three thousand dollars.

Every billion-dollar lab in the world just got outperformed by a man, a chatbot, and a credit card.

[Dustin @r0ck3t23]

Uber founder Travis Kalanick just inverted the entire automation panic.

Everyone assumes AI eliminates human value.

The physics say the opposite.

Kalanick: “Let’s say the entire world, everything in our world, was automated except for plumbers. You had machines making buildings. You would basically have like a thousand buildings a day.”

The algorithm can design a skyscraper in a millisecond.

It cannot connect the pipes.

When compute violently accelerates the speed of construction, the unautomated human becomes the ultimate bottleneck.

And the bottleneck captures all the margin.

Kalanick: “How valuable would those plumbers be? Extremely valuable. Those guys, each and every plumber would be like LeBron. Why? Because plumbing is the long pole in the tent to progress.”

If the machine needs a human to finalize physical execution, that human doesn’t get replaced.

Their economic value goes exponential.

Kalanick: “You got so much efficiency everywhere else that you need millions of plumbers.”

The market thinks automation drives human wages to zero.

The physics dictate it drives the bottleneck’s wages to infinity.

The next decade doesn’t belong to whoever out-computes the machine.

It belongs to whoever stands at the exact point where the digital engine meets the physical world.

Kalanick: “If we get to this place where autonomous cars are everywhere, if it was a thousand to one, you still probably have, I don’t know, 20 million jobs, 50 million jobs.”

The panic over job destruction assumes a static volume of output.

When output goes infinite, the system demands more human oversight. Not less.

Waymo doesn’t delete the human. It shifts them from driver of one vehicle to director of a thousand.

Kalanick: “Until we get super AGI, humans are valuable and they are going to become more and more valuable because they will be the long pole in the tent to progress.”

You are no longer the engine.

You are the grid.

[Satya Nadella @satyanadella]

We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.

[Aaron Levie @levie]

Software will look very different in the future for most knowledge work. Our software was designed for people to do most of the work, but now agents will be doing a large portion of those tasks and don’t need any of the same UI.

This means our software primarily will be about managing the agents doing that, intervening when they go in the wrong direction, giving them the right context, integrating that work into a broader workflow, being able to edit and manipulate the final output, and so on.

Lots of change to come as agents get more and more powerful.

[Jaynit @jaynitx]

In 1998, Warren Buffett gave a 1-hour masterclass on how to never lose money investing.

His frameworks:
• The 10% ownership test
• Castle & moat thinking
• Circle of competence
• Why smart people go broke

12 timeless lessons from his masterclass:

1. The 10% ownership test

[Shay Boloor @StockSavvyShay]

Goldman Sachs expects global humanoid robot market to reach $38B within next decade.

• $NVDA supplying the intelligence layer
• $AMZN automating the logistics layer
• $TSLA building physical embodiment layer
• $PLTR coordinating the control layer

[Jaynit @jaynitx]

In 1983, Richard Feynman gave a 1-hour masterclass on imagination and physics.

He broke down:
• Fire
• Atoms
• Motion
• Energy
• Magnetism

But underneath it, he revealed how to think like a scientist

12 lessons from Feynman’s masterclass:

1. Imagination beats knowledge

[Reads with Ravi @readswithravi]

“Go do something great and your network will instantly emerge.” - @naval

And as Carl Jung said, no matter how isolated you are and how lonely you feel, if you do your work truly and conscientiously, unknown friends will come and seek you.

[Robert Nelsen @rtnarch]

Specific recommendations for FDA and regulators so we do not lose to China.

•First-in-human (FIH) trials are the earliest and most important value-inflection point in biotech, determining whether early companies can raise the capital needed to advance development.
•FDA’s pre-IND and IND processes create significant uncertainty for companies. Pre-IND recommendations are non-binding, companies typically receive only a single meeting, and guidance can be inconsistent. As a result, sponsors often over-engineer studies to avoid the risk of clinical holds after IND submission.
•The U.S. is steadily losing FIH trials overseas. More U.S. biotech are choosing to conduct FIH studies in China and Australia due to faster, more predictable, and lower-cost pathways abroad.
•Piloting a mechanism like Australia’s clinical trial notification (CTN) pathway would allow companies to begin FIH trials after ethics approval and FDA notification, dramatically improving speed and predictability.
•Standards would not be lowered: responsibility shifts to sponsors, while FDA retains authority to audit, intervene, and halt trials if safety concerns arise.
•Retaining FIH trials is strategic, preserving U.S. leadership in translational science, biotech investment, and national-security-critical countermeasure development.

[Curiosity @MAstronomers]

It took 9 years and 3 billion miles to get this shot.

Pluto’s icy Mountains.

[Robert Nelsen @rtnarch]

If we lose to China in biotech, the proximal, nucleating cause, will be the failure of our regulatory apparatus to respond with a more decentralized, IRB and Investigator-driven, fast path to human proof of concept, without massive manufacturing burden. Fix it.

[Founder Mode @Founder_Mode_]

"World-class entrepreneurs are polymaths." - Peter Thiel

[Javi Lopez ⛩️ @javilopen]

Elon is building an inverse Dyson sphere: around Earth instead of around the Sun 😂

SpaceX is on track to surpass 10,000 satellites in orbit by Feb 2026.

[Jon Erlichman @JonErlichman]

In 2005, YouTube co-founder Steve Chen felt depressed because only 40 videos had been uploaded.

[Pascal Bornet @pascal_bornet]

Strawberries? From Dyson?!

Yes, the same Dyson that reimagined the vacuum cleaner… is now reimagining farming. And it’s brilliant.

When I think of Dyson, I picture futuristic fans — not vertical farms.

But here we are.

The innovation?

Dyson has developed a high-tech vertical farming system that looks like something out of a sci-fi film:
🍓 Two Ferris-wheel-style rigs rotating trays of strawberries toward optimal light
🤖 Robots picking only the ripest fruit
🌱 UV light preventing mold
🔁 Recycled heat and CO₂ powering the entire system

📈 The result? 2.5x more strawberries per square meter.

This isn’t just farming. It’s systems engineering. Precision robotics. Design thinking applied to food production.

And in my opinion, it's a reminder that even the most traditional industries can be transformed - when automation, AI, and imagination come together.

So, what’s next?

Which “low-tech” industry do you believe is ready for a radical, high-tech reinvention?

#FutureOfFarming #AgriTech #Automation #Innovation #Robotics #AI #SmartSystems #DesignThinking