News

Capital One pushes data tokenisation

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Sam Altman’s goal to have ChatGPT remember “your whole life” is...

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Leaked confirmation that OpenAI’s ChatGPT integrates MCP

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ChatGPT will soon record your meetings, summarize them, and transcribe their...

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Windsurf, a startup that uses AI to code music, launches its...

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AI Hardware

Launch HN: Tinfoil YC X25: Verifiable privacy for Cloud AI

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AI Hardware

InWin and Accordance will Debut Powerful Edge computing Solution at COMPUTEX...

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AI Hardware

Congress supports a plan to keep advanced chips with tracking technology...

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Computer Vision

Tech meets tornado recovery

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Industries

Coding Agents See 75% Surge: SimilarWeb’s AI Usage Report Highlights the...

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Researchers from Tsinghua and ModelBest Release Ultra-FineWeb: A Trillion-Token Dataset Enhancing...

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Education

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

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Step-by-Step Guide to Build a Customizable Multi-Tool AI Agent with LangGraph...

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Anthropic

This retractable USB-C cable for fast charging is a must buy...

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Anthropic

Microsoft now tests AI-generated text for Windows Notepad

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AI Observer

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

LLMs have shown impressive capabilities across various programming tasks, yet their potential for program optimization has not been fully explored. While some recent efforts have used LLMs to enhance performance in languages like C++ and Python, the broader application of LLMs to optimize code, especially in low-level programming contexts,...