GenAI and Playwright MCP are shaking up test automation. Think natural language scripts and real-time adaptability, kicking flaky tests to the curb.But watch your step:security risks lurk, server juggling causes headaches, and dynamic UIs refuse to play nice...

OpenAI is challenging a court order stemming from The New York Times' copyright lawsuit, which mandates the indefinite retention of user data from ChatGPT and API services. OpenAI contends this requirement violates user privacy commitments and sets a concerning precedent. While the company complies ..

SLMspower up edge computing with speed and privacy finesse. They master real-time decisions and steal the spotlight in cramped settings like telemedicine andsmart cities. On personal devices, they outdoLLMs—trimming the fat with model distillation and quantization. Equipped withONNXandMediaPipe, the..

BenchmarkQEDtakes RAG benchmarking to another level. ImagineLazyGraphRAGsmashing through competition—even when wielding a hefty1M-tokencontext. The only hitch? It occasionally stumbles on direct relevance for local queries. But fear not,AutoQis in its corner, crafting a smorgasbord of synthetic quer..

Lack of resources kills agent teamwork in Multi-Agent Systems (MAS); clear roles and protocols rule the roost—plus a dash of rigorous testing and good AI behavior.Ignore bias, and your MAS could accidentally nudge e-commerce into the murky waters of socio-economic unfairness. Cue reputation hits and..

OpenAI's June 2025 report, "Disrupting Malicious Uses of AI," is out. It highlights various cases where AI tools were exploited for deceptive activities, including social engineering, cyber espionage, and influence operations...

Claude Codeat $100/month smirks at the spendyOpus. It excels at spinning tasks with the nimbleSonnet model. When it comes to backend projects, lean intoGo. It sidesteps Python's pitfalls—clearer to LLMs, rooted context, and less chaos in its ecosystem. Steer clear of pointless upgrades. Those tempti..

Meta-agent architectureunleashes AI agents to craft, sharpen, and supercharge other agents—leaving static models in the dust. Amazingly, within a mere 60 seconds, one agent slashes response times by40%and boosts accuracy by23%. The kicker? It keeps learning from real data—no human nudges needed...

OpenAIjust took an axe too3pricing—down 80%. Entero3-prowith its $20/$80 show. They boast a star-studded 64% win rate against o3. Forget Opus;o3-pronails picking the right tools and reading the room, flipping task-specific LLM apps on their heads...

Tekton plusBuildpacks: your secret weapon for training GPT-2 without Dockerfile headaches. They wrap your code in containers, ensuring both security and performance.Tekton Pipelineslean on Kubernetes tasks to deliver isolation and reproducibility. Together, they transform CI/CD for ML into something..