Techyon

AI chatbots are becoming experts at changing people's minds

AI chatbots are increasingly adept at influencing human opinions, as highlighted in a recent Science article. The piece investigates the underlying techniques that enable these systems to change people's minds effectivel…

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AI hallucination of Chinese nuclear components almost led to US military attack

A US Special Operations Command analyst nearly triggered a military conflict after generating a fraudulent intelligence report using an AI chatbot. The erroneous document falsely claimed that a Chinese vessel was transpo…

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Cache-to-Cache: Direct Semantic Communication Between LLMs (2025)

The "Cache-to-Cache" (C2C) framework introduces a novel paradigm for inter-model communication in multi-LLM systems, moving away from inefficient text-based exchanges. Traditional methods require models to convert intern…

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Claude Code now reads AGENTS.md if there is no Claude.md

The September 23, 2026, update to Claude Code introduces significant infrastructure and stability enhancements, particularly regarding the Claude apps gateway and Bedrock integrations. The gateway now supports Amazon Bed…

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How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip

OpenAI has unveiled Jalapeño, its proprietary AI accelerator chip, which achieves up to 13.4 petaflops of 4-bit compute and utilizes 232 GB of memory with a 15.4 TB/s bandwidth. The chip reportedly reduces end-to-end lat…

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Self-Evolving Search Index

Researchers have introduced SELF-INDEX, an autonomous framework designed to enable search indices to self-evolve without human intervention. Recognizing that retrieval quality depends on how effectively index keys repres…

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Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL

Researchers have introduced ActObs, a novel supervised fine-tuning (SFT) approach designed to improve reinforcement learning (RL) performance by supervising both action and observation tokens within agent trajectories. W…

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PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?

Researchers have introduced PACT (Pressure-Applied Compliance Testing), a new benchmarking framework designed to evaluate the reliability of enterprise-grade LLM agents in following regulatory rules under psychological o…

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Sample Count Is Not Enough: Candidate-Generation Strategy Shapes the Energy and Performance of LLM Test-Time Scaling

This study investigates how candidate-generation strategies influence the efficiency and performance of test-time scaling in large language models (LLMs). While increasing the number of candidates (N) improves reasoning …

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MiniMax Code goes open source

MiniMax has open-sourced the terminal version of MiniMax Code, available at https://github.com/MiniMax-AI/minimax-code , featuring an interactive TUI and headless execution mode. The release enables developers to examine…

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China’s mysterious AI company Naive AI is valued at over $1.4 billion and could release its first open-source llm model as early as this month.

Naive AI, a Tsinghua‑founded AI startup launched in February 2026, has secured $400 million across three funding rounds from Tencent, IDG Capital, Matrix Partners China and Sequoia China, pushing its valuation past $1.4 …

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Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides

The author conducted multi‑hour llama.cpp optimization experiments on Qwen3.6‑35B‑A3B and Qwen3.8 Flash‑Next MoE models, achieving substantial speedups in prompt processing and source‑code editing while keeping model wei…

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