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This is going to revolutionize education 📚 Google just launched "Learn Your Way" that basically takes whatever boring chapter you're supposed to read and rebuilds it around stuff you actually give a damn about. Like if you're into basketball and have to learn Newton's laws,…
Very cool work from Meta Superintelligence Lab. They are open-sourcing Meta Agents Research Environments (ARE), the platform they use to create and scale agent environments. Great resource to stress-test agents in environments closer to real apps. Read on for more:
The big threat left out of Xi’s parade: China’s weaponized AI startups defenseone.com/threats/2025/0… - @DefenseOne
defenseone.com
The big threat left out of Xi’s parade: China’s weaponized AI startups
After militarizing civilian ships, China’s doing the same with dual-use AI companies.
Germany plans AI offensive to catch up on key technologies, document shows reuters.com/technology/ger…
gpt-oss is out! we made an open model that performs at the level of o4-mini and runs on a high-end laptop (WTF!!) (and a smaller one that runs on a phone). super proud of the team; big triumph of technology.
Hierarchical Reasoning Model This is one of the most interesting ideas on reasoning I've read in the past couple of months. It uses a recurrent architecture for impressive hierarchical reasoning. Here are my notes:
New Anthropic research: Persona vectors. Language models sometimes go haywire and slip into weird and unsettling personas. Why? In a new paper, we find “persona vectors"—neural activity patterns controlling traits like evil, sycophancy, or hallucination.
Anthropic’s CEO just gave the most important AI interview of 2025. He revealed shocking truths about artificial super intelligence, the OpenAI rivalry, and why AI is advancing at a pace no one saw coming. He even called out Zuckerberg. Here are my top 8 takeaways: 🧵
🚨 BREAKING: Anthropic PRAISES the EU AI Act's code of practice for general-purpose AI models and announces its intention to sign it (in opposition to Meta, which said it will NOT sign): "The Code, working alongside Europe's AI Continent Action Plan, demonstrates how flexible…
🚀Introducing Hierarchical Reasoning Model🧠🤖 Inspired by brain's hierarchical processing, HRM delivers unprecedented reasoning power on complex tasks like ARC-AGI and expert-level Sudoku using just 1k examples, no pretraining or CoT! Unlock next AI breakthrough with…
We've launched Claude for Financial Services. Claude now integrates with leading data platforms and industry providers for real-time access to comprehensive financial information, verified across internal and industry sources.
A Survey of Context Engineering 160+ pages covering the most important research around context engineering for LLMs. This is a must-read! Here are my notes:
🚨 BREAKING: Meta defies the EU and says it WON'T sign the EU AI Act's Code of Practice for general-purpose AI models. 😱 Here's what its Chief Global Affairs Officer said: "Europe is heading down the wrong path on AI. We have carefully reviewed the European Commission’s Code of…
Context Engineering "Context engineering" is a key part of agent building. We review a few popular patterns for context engineering + explain how to use them w/ LangGraph. Blog: blog.langchain.com/context-engine… Video: youtu.be/4GiqzUHD5AA
𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗠𝗲𝗺𝗼𝗿𝘆 explained in a simple way 👇 In general, the memory for an agent is something that we provide via context in the prompt passed to LLM that helps the agent to better plan and react given past interactions or data not immediately available. It is…
Read the full report from Iconiq here: iconiqcapital.com/growth/reports…
AI in a week by Techfrontier & Slownews slownews.kr/136811
slownews.kr
알파이볼브, 다가올 미래를 알리는 변곡점인가 통제력 상실의 시작인가 - 슬로우뉴스.
AI 시스템의 자체 개발 자동화, 즉 AI 스스로 AI 코드와 하드웨어를 개선하고 미해결 수학 문제도 해결할 가능성을 보여주는 논문을 구글 딥마인드가 지난주에 발표했다('알파이볼브'). 이 논문은 당연히 세상의 주목을 받았다. 이는 AI에 의한 AI 자체 개선 피드백 루프가 드디어
We’ve found as AIs get smarter, they develop their own coherent value systems. For example they value lives in Pakistan > India > China > US These are not just random biases, but internally consistent values that shape their behavior, with many implications for AI alignment. 🧵
Amazon’s new AI agent will shop third-party sites for you techcrunch.com/2025/04/03/ama… 출처 @techcrunch
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