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Lean4: How the theorem prover works and why it's the new competitive edge in AI
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]
Are you paying an AI ‘swarm tax’? Why single agents often beat complex systems
Enterprise teams building multi-agent AI systems may be paying a compute premium for gains that don't hold up under equal-budget conditions. New Stanford University research finds that single-age [...]
Research shows ‘more agents’ isn’t a reliable path to better enterprise AI systems
Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties. W [...]
AI models block 87% of single attacks, but just 8% when attackers persist
One malicious prompt gets blocked, while ten prompts get through. That gap defines the difference between passing benchmarks and withstanding real-world attacks — and it's a gap most enterprise [...]
Google’s new AI agent can draft your emails, monitor your inbox and eventually spend your money
Google on Tuesday unveiled Gemini Spark, a personal AI agent designed to work around the clock — drafting emails, assembling documents, monitoring inboxes, and eventually making purchases — even w [...]
Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers
In the past two years, businesses have been trying to fit large language models (LLMs) into support, analytics, development, and internal automation like never before. Along with the increasing adopti [...]