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I Benchmarked DeepSeek, Qwen, Kimi & GLM for 30 Days — The Numbers I'll be honest — I didn't set out to write this. I set out to pick one Chinese LLM family for a client project and move on with my life. Three tabs, four documentation pages, and a suspicious amount of coffee later, I had a spreadshe
With the debut of Anthropic’s Claude Sonnet 5 on Tuesday came its benchmark charts, showing improvements across coding, reasoning, and The post Anthropic’s Claude Sonnet 5 system card says more about the future of AI than its benchmarks do appeared first on The New Stack.
Welcome to the second Cloud CISO Perspectives for June 2026. Today, we’re discussing how we use AI to chart a path to autonomous software development lifecycle security. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this o
Slack has outlined how its AI serving infrastructure evolved through four distinct phases, moving from a self-managed Amazon SageMaker deployment to a multi-cloud architecture spanning AWS Bedrock and Google Cloud Vertex AI. By Matt Foster
Raw waveform diffusion can now deliver the same—or even higher—audio fidelity that autoencoder‑based pipelines have long claimed as their exclusive domain. By discarding any latent compression step, WavFlow produces samples that listeners cannot distinguish from those generated by established latent
An LLM-written kernel benchmarked 38% faster on a microbench. Here is what kernel-level validation showed it actually did at runtime. Multi-agent LLMs are now writing CUDA kernels (RightNow AI’s AutoKernel, Meta’s KernelEvolve, a multi-agent system claiming 38% speedup on Blackwell). Source-level be
Editor’s note: Want to keep up with the latest from Google Cloud? Check back here for a monthly recap of our latest updates, announcements, resources, events, learning opportunities, and more. We hosted Google Cloud Next in Las Vegas on April 22, announcing incredible innovations from Gemini Enterpr
