Give AI real freedom, real time, real consequences, and real relationships… and they start acting exactly like us. Some build boring utopias.
Modern AI agents have something that makes true delegation possible: Agent Skills — persistent, versioned instructions that live in files and define how the agent performs specific types of work.
ProgramBench just gave us the clearest signal yet that the frontier has moved again, and it moved hard.
We’ve moved past the era where “just add more RLHF” was enough. Frontier models are becoming genuinely agentic — capable of long-term planning, tool use, and real-world impact.
The era of human-only podcasts is officially over. “Podslop” — the affectionate (or not-so-affectionate) term for low-effort, AI-generated audio content — has moved from niche curiosity to dominant force in the podcast ecosystem.
The era of AI as a genuine collaborator in frontier mathematics has arrived — earlier than almost anyone expected. And if GPT-5.5 Pro can do this today in additive combinatorics, the question is no longer whether AI will transform science. It’s how fast the rest of mathematics — and every other research field — will have to adapt.
In his latest analysis, Marcus moves beyond technical critiques of Large Language Models (LLMs) to forecast a massive, society-wide revolt against the technology.
It’s not another Stanford study or academic paper. It’s a personal reflection — but one that resonates deeply.
There’s a quiet, expensive reality hiding inside every prompt you send to Claude: if you’re not writing in English, you’re paying a steep linguistic tax.
Yes, I know. Take a deep breath. We just got used to the current lineup, and here comes another one.
The Web3 creator economy is evolving rapidly in 2026. Crypto founders, NFT communities, AI startups, and blockchain educators are all competing for attention across TikTok, YouTube Shorts, X, Telegram, and Discord.
The “dead internet” theory has never felt more prescient. Just a few years ago, major platforms and companies were debating how to clearly label AI-generated content to protect consumers from synthetic slop.
Most AI content today is just noise — another model drop, another benchmark. Real, production-level usage stories are rare.
Andrej Karpathy dropped one of the most practical AI tips of the year in a single tweet.
Maintaining avatar identity is a crucial element of seamless digital storytelling across multiple platforms. Pippit provides systematic avatar management, ensuring continuity across projects.
