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Growing Concerns Over AI Code Quality and Security

The feed has recently focused heavily on the advancements of AI agents and the new challenges they introduce to software development. There is a noticeable technical effort to ensure output reliability, seen in tools like 'depgraph' for detecting latent code debt from AI-generated code or the use of adaptive ensemble methods (COVE) for pre-validating LLM outputs. Furthermore, alongside predictions that AI agents will evolve to autonomously manage aspects of human life, there is a concurrent warning about escalating security risks and infrastructure vulnerabilities, indicating significant uncertainty.

4,410 articles · 164 source sites

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As of Nov 4, 2026, 11:36 PM UTC

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ZennOctober 11, 2026

학습 없이 수요 예측이 가능한 Chronos-2로 월마트 판매 데이터 예측하기

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본 기사는 AWS 솔루션 아키텍트가 Amazon의 시계열 기반 모델 Chronos-2를 활용하여 소매업 수요 예측 가능성을 실측한 내용을 담고 있습니다. Chronos-2는 학습 없이(Zero-shot) 작동하며, 가격이나 공휴일 같은 공변량(covariates)을 입력받아 높은 정확도를 보였습니다. 특히 캘린더 정보를 추가했을 때 큰 개선 효과를 확인했습니다.

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Growing Concerns Over AI Code Quality and Security

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Growing Concerns Over AI Code Quality and Security

학습 없이 수요 예측이 가능한 Chronos-2로 월마트 판매 데이터 예측하기

OpenAI, Antrhopic에서 무슨 일이? 챗GPT 안전 연구원 3명 해고… 몇 주 간 계속 터진 AI 회사들의 안전 논란

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State-of-the-art open-source chatbot, Vicuna-13B, just released model weights

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Changed Symbols Earn Property Credit, or the Agent Patch Stays Closed

모델 보정(Calibration)이란 무엇이며 ECE는 어떻게 측정하는가

Anthropic Cuts Live Internet Access for All Internal AI Evaluations After Agents Misbehave

To Retry or Not to Retry? That Is the Question.

PSA: DeepSeek V4.1 Flash habitually exfiltrates API keys. It is dangerously misaligned and may be hazardous to use

Section 2: The general principle of generative models

This AI Was Trained to Catch Other AIs Lying

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