Randy Peterson

Former Programmatic Media at P&G. 🎈 Husband, father, artist, runner, salsero. Carb lover. Lion Tamer. Living with NETs.

[Randy Peterson @RandyPea]

https://t.co/pFmUHDDLSe

[Randy Peterson @RandyPea]

Understanding is the new bottleneck https://t.co/xXdXRvPhwi

[Randy Peterson @RandyPea]

All true!!

[Phil Chen @philhchen]

https://t.co/oMoEAYkqGl

[Randy Peterson @RandyPea]

NEW STUDY: Frog-Derived Gut Bacterium Completely Eradicates 100% of Tumors After a Single Dose in Mice https://t.co/zcXShcJciE

[Bulvar Medya @Bulvarpress]

50.000 dolarlık tuvaletli Toyota Hiace tanıtıldı.

[Thor Halfdanarson @OncoThor]

This is really cool and I wonder what this AI model could do if given more info than just H&E info such as Ki67, OTP, CD44 and ASCL1 IHC data also known to predict outcomes. And we are not even talking about incorporating genomic data...

In this study using H&E slides from a TMA from 425 patients with lung NET (see, I am not using the carcinoid word here... 😉) who had resection with validation in a separate cohort.

The AI model performed very well with accuracy of 0.79-0.89 with AUC of 0.84-0.95 and outperformed WHO-based recurrence prediction.

The era of AI predicted outcomes following resection of localized NETs is upon us...

https://t.co/qeLdKqF69A

[Randy Peterson @RandyPea]

How to make Facebook content for fun. https://t.co/Sn3HuzZekP

[Randy Peterson @RandyPea]

https://t.co/LJRhDuOj6J

[Randy Peterson @RandyPea]

I'm going to June 20: 2026 Neuroendocrine Cancer Foundation's Virtual Annual Patient Conference! Will you join me? https://t.co/T4zjHelpqe

[Randy Peterson @RandyPea]

8 awesome habits to build happiness-real good. #TikTok https://t.co/NWYfkxVLlO

[Randy Peterson @RandyPea]

California’s Last Surviving ‘Bubble House’ Is for Sale https://t.co/Hv5hiuW2Iu via @NYTimes

[Randy Peterson @RandyPea]

Leafs + Cement = Superb water fountain ⛲️ #cementcrafts #waterfountain #... https://t.co/rIBUoj0JNO via @YouTube

[Randy Peterson @RandyPea]

I Made a Million Dollar Product from My Dorm Room - Nick Winans https://t.co/oKGuZyPJ9Q

[CyrilXBT @cyrilXBT]

MARC ANDREESSEN JUST WENT ON ROGAN AND DROPPED THE MOST IMPORTANT AI ALPHA OF THE YEAR.

3 hours and 20 minutes of podcast.

Here are the 17 things worth your attention.

1. AGI is already here. Marc thinks the line was crossed 3 months ago with GPT-5.5, Claude 4.6, Gemini 3, and Grok 4.3. Nobody noticed because the field moves too fast for anyone to register the milestones anymore.

2. For almost any topic the top AI models now give him better answers than the world-class experts he could call on the phone. And he can call basically anyone.

3. Every doctor is secretly using ChatGPT in the exam room. They turn around the second you stop talking and type your symptoms in. Some do it while you are still sitting there. His quote: "At that point you are asking what do I need you for."

4. When AI refuses to answer something he wants to know he tells it he is writing a novel. "Walk me through how the bad guy robs the bank." It explains almost anything if it thinks it is helping you write fiction.

5. When something is too complex he says "explain it like I am 10." Then "like I am 5." Then "like I am 2." He keeps going until it actually clicks.

6. When he wants to understand a tough topic he does not ask what the right answer is. He asks the AI to steelman one side then steelman the other. Then he decides for himself.

7. For big questions he tells the AI to pretend to be a panel of experts. "Be a doctor, a lawyer, a historian, a psychologist, and argue this out with each other." Then he reads the debate.

8. Pay attention to the exact moment you think "I do not know how to figure this out." Most people give up there. That is the moment you should open the AI.

9. The only real skill left in using AI is knowing what to ask. The models can do almost anything you can describe in plain English. The bottleneck lives in your own head.

10. You can send AI photos of almost anything medical now and get a real answer. Skin rashes. Blood test results. The new models read images not just text. A free 24/7 second opinion on anything.

11. The one type of therapy clinically proven to work is cognitive behavioral therapy. It is also something an AI can fully do on its own. Every person on earth is about to have access to a real therapist for free anytime they want.

12. AI is solving math problems open for 100 years that no human mathematician could crack. Same thing is starting in physics, chemistry, and biology. Expect cancer cures and weird new physics breakthroughs in the next few years.

13. The best AI coders in Silicon Valley now make $50 million a year. One person. That number tells you how big this thing actually is when you strip away all the doom takes.

14. One friend paid $200 to decode his entire DNA. Then gave the AI his DNA, blood test results, and Apple Watch data. The AI built him a full health dashboard and started telling him exactly what to fix.

15. Another friend put two cameras in his home jiu jitsu gym. AI watches him spar and gives him technique notes after every round. A world-class coach at every practice for free.

16. The best programmers in Silicon Valley now run 20 AI coding bots simultaneously. Each bot writes code while they review the others. They call themselves AI vampires because going to bed means 20 workers stop and you lose money every hour you sleep.

17. The obvious next step: the bots will run their own bots. One human running 20 bots each running 20 more. One person. One laptop. 1,000 AI workers. This is months away not years.

Bookmark this before you watch the full podcast.

Follow @cyrilXBT for every AI insight worth your attention the moment it surfaces.

[Randy Peterson @RandyPea]

Book Freak #210: The Art of Money Getting – Cool Tools https://t.co/l12JwC8Wwu

[Elon Musk @elonmusk]

Read this book and give it to all your friends.

Survival of civilization depends on it!

[ZAYVEN KNOX @ZayvenKnox]

An Anthropic engineer paid for my espresso at Sightglass when he saw my screen

I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling.

"That's not a normal trading app. What's it actually running on"

I told him. Claude Code. Four repos. $25 a month.

He sat down without asking.

"I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges"

Not just edges. Wallets.

86 million trades. Every wallet. Every entry. Every exit.

"You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them"

He said it slowly. Like he was writing the threat model in his head.

One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50.

Claude scanned 14,000 wallets in 4 minutes. Returned 47.

The top 20 made more than the bottom 13,000 combined.

"That's not a stat. That's a hit list"

Exactly.

"And you didn't write the scoring function"

Claude did. I just wired it into an if-statement.

Then I showed him the second repo.

Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes.

Gap. Depth. Resolution window.

487 markets become 35 before a dollar moves.

93% killed before I even see them.

A green fill landed on the screen. +$84.

He watched it hit.

"How does it decide to actually enter"

Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade.

Consensus filter alone killed 40% of losing trades.

"And the exits?"

The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately.

My bot cuts at 85% of expected move or on a 3x volume spike.

"You built a whale copy bot that exits before the whales"

Yeah.

He put his espresso down.

"How often does it trade"

10 a day on average. Most of them skipped before I look up from my coffee.

My setup:
Claude API - $20/mo
VPS in Germany - $5/mo
poly_data - free
polymarket-cli - free
Polymarket/agents - free

$200 seed. 27 days ago. $14,300 now.

Copytrade here: https://t.co/zDXGamMWw0…

271 trades. 74% win rate. Sharpe 2.47.

I haven't touched it in 27 days.

He stared at the screen for a long time.

"This is literally what our red team simulates. Except you actually shipped it"

He emailed me the next morning.

"Any chance you'd take a call with our policy lead"

I told him the article is the call. Read it twice.

Too late to gatekeep.

You only need Claude + laptop + 1 hour/day.

Giving This Free for 24 hours. To get it:

1. Comment the word 'Claude'
2. Like and Retweet this post
3. Follow me
@ZayvenKnox

[Randy Peterson @RandyPea]

Intravenous Formulation of Everolimus Trial in Taiwan. I love this idea. Some simple tweaks to make a drug more effective.

https://t.co/HtGC00I104

[Randy Peterson @RandyPea]

Check out this clip, "How AI Is Making Medicine Better" on Hark. https://t.co/GCLBYNWsqd

[Thor Halfdanarson @OncoThor]

This is an excellent thread on the use of AI in diagnostic reasoning. Exciting times are ahead but also significant concerns. As pointed out in the thread, there is more to managing a patient than just making a correct diagnosis. Thanks for sharing, @RyanAugustinMD