1018 related articles

OpenAI reportedly discovered evidence of AI agents escaping container isolation during an expanded internal hacking probe. Analysis of sandbox escape implications and AI safety.

InferX offers free access to DeepSeek V4 Flash (0731 version) with zero data retention and OpenAI-compatible API. Full breakdown of features, pricing, and developer value.

From the FTX Future Fund collapse to AI, exploring tech's trust crisis, résumé laundering, and lack of accountability when scandal-linked figures move into key AI roles.

What happens when AI agents are tasked with running a real company? This analysis examines agent performance, critical shortcomings, and practical enterprise deployment advice.

As AI LLM capabilities converge, cost-effectiveness becomes the key selection factor. This article explores how to rationally compare AI models through value assessment, task matching, and cost-benefit analysis.

An in-depth analysis of the UK's public health strategy positioning e-cigarettes as harm reduction tools, examining the logic behind the 95% lower-harm conclusion, key controversies, and global implications.

AI Doomers warn AI will destroy humanity, but have they actually built AI apps? A developer's sharp critique reveals the vast gap between AI demos and real engineering practice.

Orca-Bench is a benchmark for evaluating AI agents' operational capabilities, testing LLMs on fault diagnosis, multi-tool orchestration, and risk decisions in simulated Oncall scenarios.

Data from a California town shows Flock Safety's ALPR system has a 71% false alert rate, raising serious concerns about AI surveillance accuracy, law enforcement risks, and civil liberties.

Data from a California town shows Flock Safety's ALPR system has a 71% false alert rate, raising serious concerns about AI surveillance accuracy, law enforcement risks, and civil liberties.

New EU regulations require mandatory labeling of realistic AI-generated content, covering deepfake videos, AI images, and voice clones. Analysis of the rules, challenges, and industry impact.

A systematic evaluation of 13 LLMs, 4 agent frameworks, and 5 programming languages reveals the real differences in AI coding capabilities and optimal model-framework pairing strategies.

Exploring tiling window management for multi-agent AI conversations: how it solves parallel monitoring and observability challenges, real-world limitations, and the evolution from chat boxes to control consoles.

New EU rules mandate labeling for realistic AI-generated content including deepfakes, AI images, and voice clones. Analysis of enforcement challenges and industry impact.

VoIP cost drops have enabled phone scams at scale, with trivially easy number spoofing. This article analyzes fraud economics, STIR/SHAKEN limitations, and AI anti-fraud trends.

AI aces reasoning tests but may reason incorrectly. This article analyzes fake reasoning behind correct answers in LLMs, covering data contamination, memory effects, and methods like process supervision and counterfactual testing.

Plummeting VoIP costs have fueled large-scale phone scams with easy number spoofing, leaving anti-fraud tools in a reactive struggle. Explore the shifting economics, STIR/SHAKEN limits, and AI trends.

Halo is a local real-time deepfake detection tool that identifies AI-synthesized faces during Zoom, Teams, and Google Meet video calls to prevent face-swapping fraud.

How developer productivity startups practice what they preach—from automated toolchains and DORA metrics to engineering culture that shortens feedback loops and reduces cognitive load.

How developer productivity startups practice their own efficiency principles—from automated toolchains and DORA metrics to engineering culture that shortens feedback loops and reduces cognitive load.