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Helpful guide to hiring your first @Grok @Bot employee. It really is like hiring an amazing helper that learns your needs and gets smarter almost every day!

SUPERCALIFRAGILISTICEXPIALINTELLIGENCE

AI panel at Stanford. Yes, in a church. With the highly respected Myron Scholes and DPR. Engineering perspective balanced by Benjamin Van Roy from Stanford/ @GoogleDeepMind @JohnathanBi moderated & eloquently connected dots: “AI overoptimization is like humans losing meaning.” > AI agents sometimes go into circles or hallucinate. > That's like when a person is stuck. Gets in a rut. I'm paraphrasing above since it was a deep discussion about consciousness, economy, and unconventional ways to find signals. Topics were both extremely technical yet with a touch of compassion. Interesting bridges are being made human + AI.

Only in Silicon Valley

THIS IS BIG! The Cancer Cells That Changed Their Minds A KAIST team just reversed cancer without killing a single cell — and the method may matter more than the result. For a century, oncology has had exactly one strategy: find the cancer and destroy it. Chemotherapy poisons it. Radiation burns it. Surgery cuts it out. Immunotherapy teaches the body to hunt it. Every weapon differs in precision, but not in philosophy. The tumor is an enemy. You win by killing. Now a team at South Korea's KAIST has proposed a heresy: *what if the tumor doesn't need to die?* In a study led by Professor Kwang-Hyun Cho of the Department of Bio and Brain Engineering, published in Advanced Science ("Control of Cellular Differentiation Trajectories for Cancer Reversion," DOI 10.1002/advs.202402132), researchers took colon cancer cells and — without poisoning, irradiating, or cutting them — turned them back into normal cells. Not dead. Not damaged. Just normal again. The tumors, grown in mice, shrank dramatically. The surrounding tissue was left intact, because there was never an attack to survive. This is early research — cell lines and animal models, no human trials, real obstacles still unsolved. But the conceptual break is the story. For the first time, cancer treatment has a second verb. Not just destroy. Also: convert. The digital twin of a cell The KAIST team's insight begins with a redefinition of what cancer is. The conventional view treats cancer as a pile of broken machinery: mutations accumulate, checkpoints fail, cells proliferate. Cho's group looked at the same evidence and saw something different — a trajectory. During oncogenesis, they observed, normal cells don't just break. They regress, sliding backward along the differentiation path they followed when they matured. A colon cell becomes, in effect, a confused stem cell: immature, proliferative, lost. If cancer is a wrong turn on a developmental road, then the treatment question changes. You don't blow up the road. You build a map and find the turn. That map is what the team calls a digital twin — a complete computational model of the gene network governing a cell's differentiation. Using data from 4,252 intestinal cells, they reconstructed a network of 522 interacting components, capturing how genes regulate one another as a cell matures or degrades. Then they did the audacious thing: they asked the simulation which levers, flipped together, would push a cancer cell back down the road toward normalcy. The answer came through a system they built called BENEIN (Boolean Network Inference and Control), which models gene interactions as logical relationships and systematically tests which interventions redirect the network's state. The simulation pointed to three master regulators — the genes MYB, HDAC2, and FOXA2 — acting together as the switch that holds the cancerous state in place. Turn all three off simultaneously, the model predicted, and the cell would stop proliferating and differentiate into something resembling a normal intestinal cell. They tested it, and it worked. In three colon cancer cell lines, suppressing MYB, HDAC2, and FOXA2 together strongly induced differentiation into normal-like cells. The cancer cells began expressing markers of healthy intestinal tissue. Proliferation collapsed — not because the cells died, but because they grew up. In animal models, tumors formed from the reprogrammed cells were dramatically smaller than controls, and under the microscope they looked far more like normal tissue. The signature achievement, and the one that would matter most to any patient reading this: there was no collateral damage. Nothing was poisoned, burned, or irradiated. The healthy tissue never came under fire, because there was no fire. 1 of 2

Grok will be able to make photo-realistic & physics-precise games

I’m seeing more IG and TikTok influencers start building apps with vibe coding. Some of them are hitting $10k-$100k MRR faster than most tech builders on X. Distribution is becoming a bigger advantage than technical skill. The next wave of breakout founders might not come from tech X at all.

Early signals of uploaded consciousness

Claude Opus 5.5 is the best AI model I’ve ever used I was lucky enough to have early access and I’ve been using it nonstop It’s smarter than Fable and Astra yet it’s: • Significantly faster • A fraction of the price • And most importantly: WAY better to talk to My biggest complaint for ALL AI models the past few months is they’ve all been really annoying to talk to Every frontier model from every company has all developed this weird AI language. They don’t feel ‘human’ anymore You read paragraphs of text and it’s like you read nothing Opus 5.5 changed that. It’s the first model in months to feel human again. It is just a total pleasure to talk to Highly encourage you to try it out

🚰 SYSTEM PROMPT LEAK 🚰 Here's the full system prompt for Claude Opus-5.5!! The total count of everything extracted, including all tools, comes in at over 1.9M characters! 🤯 Lots to dig into here. Enjoy! 🫡 Link: github.com/elder-plinius/CL4… gg

Listen to Greg You want early signal? Crosses industries and roles.

That’s today

Done? 👇

Notion is cooked. Claude quietly launched interactive docs. Tables, adding collaborators, charts, etc. Not sure why people would keep paying extra for Notion AI. Still using Notion? What's keeping you there?

Unbeliavable wow

1⃣(required) repost my post 2⃣(required) repost quoted post 3⃣(optional) I might repost one of your posts :)

Lovable in Sweden Higgsfield in Kazakhstan Viktor in Poland Big ARR numbers. Fast. The rest of the world has something figured out. Fryd is recording that video in a self-driving car by the way. How you do one thing, is how you do everything. @viktor_com as an AI employee seems promising, I wonder if he's driving the car too. Anyone try it? Try it for growth? Paid Partnership

Projects now run from one conversation, starting in Claude Code. You describe what needs doing, and Claude directs parallel threads that keep working after you close your laptop. In beta today for select Pro and Max users in cloud sessions; coming to all Claude users soon.

We built the cheapest AI Router Every model is discounted up to 81%! ZDR is available Try it -> CheaperInference.com

turns out google have been hiding away because they’ve stumbled into the great singularity. there is no slowing this down. it’s alive.