Persona X (@personaxai) has launched its public beta! We 3x the speed and accuracy of GTM efforts by making the customer the starting point of action. Turn-key customer intelligence. Game changer!
https://t.co/oE72aKYpEy
New Anthropic research: Emotion concepts and their function in a large language model.
All LLMs sometimes act like they have emotions. But why? We found internal representations of emotion concepts that can drive Claude’s behavior, sometimes in surprising ways.
This post is false.
The military operation in Tapalpa, Jalisco, aimed at capturing Rubén “N,” alias “Mencho,” was planned and executed by Mexican Special Forces.
The action was carried out within the framework of bilateral cooperation, with U.S. authorities providing complementary intelligence.
Mexican National Guard and Army troops are currently reinforcing security in Jalisco and neighboring states to maintain order.
🚨 What happens when “the job” as we know it fades away?
For over a century, jobs bundled time ⏳, role 🏷️, and pay 💵 — a perfect fit when productivity was scarce.
AI changes everything. Execution is now abundant, and the real value might come in moments of judgment, insight, or reframing — not continuous output.
Part III (4-part series) — “After the Job” explores:
💡 Episodic, high‑impact contributions
⭐ Reputation as currency
🎯 Modern patronage for uncertain ideas
⚠️ Risks of centralized decision‑making
🔗 Link in comments/replies.
📢 Reshare if you want more people in this conversation.
❓If your value wasn’t measured in hours, how would you prove your impact?
https://t.co/iaTFTJIT9b
I just published Pt. II "Capitalism’s Blind Spot." A four part series on the topic of what happens when knowledge becomes cheap.
https://t.co/qujmgSKFcP
@threepointone Fantastic!
“agents make code cheaper. they do not make judgment cheap.”
This applies to all agents even outside of coding. Love it. Im writing on article on the need to tune into judgement.
Andrej Karpathy literally built the neural networks running inside coding assistants.
He taught the world deep learning at Stanford. He ran AI at Tesla.
If he feels “dramatically behind” as a programmer… that tells you everything about where we are.
The confession here is that raw intelligence and deep technical knowledge no longer guarantee mastery. The new stack isn’t about understanding transformers or writing elegant algorithms. It’s about orchestrating a zoo of stochastic systems that nobody fully controls.
Karpathy’s list is revealing: agents, subagents, prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations. That’s 15+ new primitives that didn’t exist 18 months ago. Each one evolving weekly.
The mental model problem is real. Traditional engineering gives you deterministic systems. You write code, it does exactly what you wrote. Now you’re managing entities that are “fundamentally stochastic, fallible, unintelligible and changing.”
His “alien tool with no manual” framing is exactly right. We’re all reverse-engineering capabilities in real-time. The documentation is always out of date. The best practices from 3 months ago are already wrong.
The magnitude 9 earthquake isn’t coming. It already hit. The aftershocks are the new normal.
@elonmusk This is an ignorant post. The whole world is a byproduct of migration. Capitalism and globalization just accelerated it. The post is a euphemism for “white civilization suicide.”