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Anthropic CEO responds to Trump order, Pentagon clash

Jo Ling Kent
Dario Amodei

About the Author

Section titled “About the Author”

Jo Ling Kent is a Senior Business and Technology Correspondent at CBS News, with over 15 years of experience reporting at the intersection of technology and business. Her coverage spans topics such as the impact of artificial intelligence, privacy on social media, global supply chains, and the rise of China's economy. She has won an Edward R. Murrow Award and received three Emmy nominations.

About the Guest

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Dario Amodei, born in San Francisco in 1983, is the co-founder and CEO of Anthropic. He previously served as Vice President of Research at OpenAI, where he led the development of GPT-2 and GPT-3 and co-invented the reinforcement learning from human feedback (RLHF) method. In 2021, he co-founded Anthropic with his sister Daniela, focusing on AI safety research. As of February 2026, the company is valued at approximately $380 billion.

Quote

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Opposing the government is the most American thing in the world. We are all patriots in this, and what we are defending are the values of this country.

全球最年轻 AI 亿万富翁 Alexander Wang 揭示 AI 如何放大人类潜能

Alexander

作者简介

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Alexandr Wang 于 2016 年以 19 岁 MIT 在读生身份创立 Scale AI，将其做到近 290 亿美元估值，2021 年以 24 岁成为全球最年轻的白手起家亿万富翁，现任 Meta 首席 AI 官，领导 Meta 超级智能实验室，主导 Meta 的 AI 战略方向。

金句

Section titled “金句”

个人超级智能不是让你被动盯着屏幕，而是让你在生活中更主动、更专注地追求目标、深化人际关系。

OpenClaw:The Viral AI Agent that Broke the Internet

Lex Fridman (MIT AI Researcher, Podcast Host)
Peter Steinberger (Austrian Software Engineer, OpenClaw Founder)

About the Author

Section titled “About the Author”

Lex Fridman is an AI researcher at MIT, best known for hosting his eponymous podcast. He has interviewed hundreds of leading figures in technology, science, and philosophy, including Elon Musk, Sam Altman, and Mark Zuckerberg. With nearly 5 million subscribers, his show is one of the world's most influential podcasts on AI and technology.

About the Guest

Section titled “About the Guest”

Peter Steinberger is an Austrian-born serial entrepreneur. In 2011, he founded PSPDFKit (later renamed Nutrient, with over 1 billion device installations), a PDF technology company. After selling the company, he "retired" for three years before re-emerging in 2025. With just a one-hour prototype, he incubated OpenClaw—the fastest-growing open-source project in GitHub history—before joining OpenAI to advance the next generation of personal AI agents.

Notable Quote

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"I was annoyed that it didn't exist, so I prompted it into reality." — Peter Steinberger on the motivation behind OpenClaw's creation

Reflections on AI at the end of 2025

antirez
Overview
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Salvatore Sanfilippo, the creator of Redis, provides a profound analysis of the state of AI at the end of 2025. His core viewpoints can be summarized into the following five aspects:

1. The "Verification and Dismissal" of Cognitive Capabilities
Section titled “1. The "Verification and Dismissal" of Cognitive Capabilities”
  • Shedding the "Stochastic Parrot" Label: By 2025, the academic community finally reached a consensus, acknowledging that LLMs are not merely probabilistic prediction machines, but systems possessing internal representations of the meaning of prompts and their output content.
  • The Essence of Chain of Thought (CoT): CoT is viewed as a form of "internal search." By sampling within the representation space combined with Reinforcement Learning (RL), models can purposefully converge to useful answers by altering their own states.
2. Evolutionary Drivers: From "Scale" to "Reinforcement Learning"
Section titled “2. Evolutionary Drivers: From "Scale" to "Reinforcement Learning"”
  • Breaking the Data Bottleneck: Relying on Reinforcement Learning with "verifiable rewards," improvements in AI are no longer strictly limited by the quantity of human corpus data.
  • The Next Big Thing: By continuously evolving in domains with clear reward signals, such as programming optimization, LLMs combined with RL will become the core driving force of AI development.
3. The Reshaping of Programming Paradigms
Section titled “3. The Reshaping of Programming Paradigms”
  • Conversion of Skeptics: Due to a significant increase in Return on Investment (ROI), even the most conservative programmers have begun to accept AI assistance.
  • Divergence in Collaboration Models: The programming world has split into two camps: those who view AI as a "conversational colleague" and those who view it as an "independent coding agent."
4. The Debate on the Path to AGI
Section titled “4. The Debate on the Path to AGI”
  • Architectural Pluralism: While some are searching for alternatives to Transformers (such as world models), the author believes that existing LLMs, acting as "differentiable reasoning machines," could potentially achieve AGI even without a paradigm revolution.
  • The Reversal of the ARC Test: The ARC reasoning test, once thought to be insurmountable for LLMs, has now been conquered by optimized large models, validating the potential of existing architectures.
5. Conclusion and the Ultimate Challenge
Section titled “5. Conclusion and the Ultimate Challenge”
  • Architecture Unchanged, Perception Shifted: The author emphasizes that the underlying architecture of LLMs has not changed because of CoT; what has changed is our perception of their capabilities.
  • Existential Crisis: For the next 20 years, the most fundamental challenge in the field of AI is not technological breakthrough, but how to avoid human extinction.

Agent Design is Still Hard

Armin Ronacher (alias mitsuhiko)

Author

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Armin Ronacher is a renowned open-source software engineer, the creator of the Flask web framework, Jinja2 templating engine, and Click CLI tool. His works define the paradigm of simplicity in modern Python development and have had a profound impact on the global open-source ecosystem.

Overview

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The essence of Agent design is not a simple loop, but the ultimate balance between model differences, explicit cache control, and reinforcement information. In this field, overly generic SDKs often become shackles to flexibility.

Agent design is still hard