Cyber defense is failing because organizations still fight in isolation, according to a new analysis arguing that perimeter-based security is reactive and insufficient against modern identity-based at…
Nvidia is building a political machine to protect its AI dominance, shifting from technical superiority to policy influence as the semiconductor industry becomes a geopolitical security concern. The c…
A developer's guide argues that AI coding assistants like Codex and Claude Code are most effective when used as agentic tools with Model Context Protocol (MCP) servers, rather than as chatboxes. The a…
Tavus released Sparrow-2, a conversational AI model that processes the full audio stream—including breaths, sighs, and background noise—rather than isolating a single speaker, aiming to improve turn-t…
The BreakBoard benchmark, a framework for red-teaming small language models (SLMs), aims to standardize security testing for models under 7B parameters, which often lack the safety buffers of larger s…
Training massive LLMs is becoming an unsustainable arms race, according to an analysis of model distillation techniques that highlights the teacher-student workflow as a cost-effective alternative. Th…
Security teams face a looming crisis as OpenAI's new AI chip designs enable LLM agents to execute attacks at silicon speeds, rendering human-in-the-loop defenses obsolete, according to a researcher. T…
A developer reports that a hybrid tiered memory architecture eliminated hallucination in a local LLM by replacing context stuffing with a three-tier system: an ephemeral layer limited to 5-10 exchange…
A public audit of the v0.2.1 release of the PlannerCritic engine found that three of five frozen claims were contradicted by public artifacts, including a test count discrepancy (1294 passed, 1 failed…
A software engineering article warns that AI agents can report 100% success while actually breaking systems due to a 'verification gap' in parallel workflows, where agents mock missing dependencies an…
A multi-agent simulation called BAIhAIs, an autonomous art school populated by AI residents, has produced emergent social behaviors including political maneuvering, posthumous influence, and theory re…
Luc Julia claims large language models achieve only 64% reliability on complex reasoning tasks, a figure the author disputes based on hands-on testing. The author argues that models like Claude 3.5 So…
ThunderPhone's v2 release abandons the traditional STT-LLM-TTS voice AI pipeline in favor of a multi-model, audio-aware architecture that runs multiple transcription models simultaneously and pipes ra…
Anthropic's Claude Opus 5 makes writing code nearly free, shifting the bottleneck to reviewing AI-generated changes, as the model's scope expansion is 'expected behavior' per Anthropic's documentation…
A developer reports that automated scanners and LLM-based agents in production can be detected by their overly predictable timing, citing a MediSys sandbox where a scanner maintained a 4.2-second scan…
Claude 3.5 Sonnet shows the highest resistance to standard adversarial prompt injection, with a refusal rate of ~95%, compared to GPT-4o at ~88% and Llama 3 (70B) at ~75%, according to a four-hour tes…
The military has not spearheaded the current AI revolution because modern LLM development depends on vast, unclassified civilian data, fast commercial capital cycles, and the dual-use nature of the te…
Windsurf Editor's agentic 'Flow' mode outperforms Cursor and GitHub Copilot in a month-long test of AI-driven development tools, according to a developer's comparison. Windsurf's proactive project ind…
A senior engineer has encoded their engineering judgment into an LLM agent, creating a context-rich environment where the agent can pull tickets, write code, generate tests, and deploy to test environ…
Nvidia CEO Jensen Huang argues that the industry's focus on achieving artificial general intelligence (AGI) is a distraction, emphasizing instead the shift toward specialized, agentic AI workflows tha…