creative people join the chat.

Holy shit, this changes everything about how we train models. Stanford just made fine-tuning irrelevant with a single paper. It’s called Agentic Context Engineering (ACE) and it proves you can make models smarter without touching a single weight. Instead of retraining, ACE

Why do global markets crash whenever the USA imposes tariffs on China?

flexing how much money you got is a sign of insecurity.

do this: 1. learn how AI works 2. build an LLM 3. automate your tasks when you do all this... you will have a lot of time to invest. use that time to explore the world, learn new languages, and make new friends.

Chinese moving to USA is a really dumb move. China is 100x advanced than USA when it comes to AI. Stay in China. SCALE.

"McKinsey is cooked" fixed the headline... 🤣

AI avatars are so lifeless.

Microsoft and Georgia Tech gave existing models the ability to decide how to think. The model brainstorms in latent space and only writes its thoughts when confident. It makes them up to 6.78x more efficient. Are we entering the age of latent reasoning? Here's how it works:

🚨 Prompt engineering is dead. Context engineering is the new game. Anthropic just dropped their internal playbook and it changes everything: → Context is finite. Every token depletes attention budget. → Models lose focus as context grows (they call it "context rot") → Best

🚨 This just broke consumer research. A new paper shows LLMs can predict purchase intent with 90% accuracy by simulating synthetic consumers. Here's how it works: Give an LLM demographic info (age, income, location). Show it a product concept. Ask for its opinion in natural

Holy shit. MIT just built an AI that can rewrite its own code to get smarter 🤯 It’s called SEAL (Self-Adapting Language Models). Instead of humans fine-tuning it, SEAL reads new info, rewrites it in its own words, and runs gradient updates on itself literally performing

define God and i'll tell you that we have not gotten 0.000001% closer to it.

spanking AI is coming.

I just read this new paper that completely broke my brain 🤯 Researchers figured out how to transfer LoRA adapters between completely different AI models without any training data, and it works better than methods that require massive datasets. It's called TITOK, and here's the

Meta just found a way to watch an AI's thought process break in real-time. Their new method cuts error rates by 68% and reduces false positives by 41%. This novel Circuit-based Reasoning Verification (CRV) opens new possibilities in reliable AI. Here's how it works: - X-Ray:

A colleague asked me this question recently, and it got me thinking. For over 10 years, we’ve worshipped SEO dashboards and assumed “visibility” = Google. But nowadays, discovery isn’t limited to the SERP. LLMs are becoming gateways for how people encounter and discover brands.

Chinese researchers are just different.

worthy opponent

🚨 Nano Banana is going mainstream. Google just announced it’s coming to Search, NotebookLM, and soon Photos. Since August, Gemini 2.5 Flash’s Nano Banana model has powered 5B+ image generations now it’s about to supercharge the products you already use. On Search → Snap or