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Announcing GenAI Processors: Build powerful and flexible Gemini applications

GenAI Processorsby Google DeepMind strips away AI pipeline headaches with a modular, stream-based design that's all about real-time agility. This beauty chops downTime To First Tokenby harnessing Python's concurrency magic. It juggles multimodal data like a pro, making life a breeze for LLM apps tha.. read more  

Announcing GenAI Processors: Build powerful and flexible Gemini applications
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AI Agent Benchmarks are Broken

Ah,WebArena—where getting math wrong gets a pass. Out of ten benchmarks, eight stumbled in spectacular style, misjudging things by a staggering100%. Enter theAI Benchmark Checklist (ABC), a 43-point lifeline designed to yank these tests out of the abyss and show what AI can actually do... read more  

AI Agent Benchmarks are Broken
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Introducing Kiro

Kiroflips "vibe coding" into slick, production-ready apps. How? Specs nail down every requirement, hooks lock in code consistency, and assumptions hang in the open. The real trick? Kiro pumps out design docs, tweaks tests on its own, and lays down the law on code standards—all without muddling the f.. read more  

Introducing Kiro
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How SORA Will Impact Hollywood?

OpenAI's SORAjust might overturn Hollywood's apple cart with its blistering speed and jaw-dropping, lifelike video wizardry. But there's a glitch—it’s mired in messy data transparency debates. As200,000 jobs hang by a thread, VFX artists, scriptwriters, and background actors brace for impact. SORA's.. read more  

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We’re Light-Years Away from True Artificial Intelligence, Says Murderbot Author Martha Wells

Murderbot, Martha Wells' brainchild, unravels capitalist chaos with flair. Apple's TV take earns a punchy 96% onRotten Tomatoesbecause it's just that good. Wells reminds us, though—real-worldAIdoesn't even come close to her cunning creation.ChatGPT? It's just a data matchmaker, no sentience here. He.. read more  

We’re Light-Years Away from True Artificial Intelligence, Says Murderbot Author Martha Wells
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Introducing Deep Research in Azure AI Foundry Agent Service

Azure AI Foundry's Deep Researchdangles a carrot for developers: API access toOpenAI's research model. Imagine crafting agents that don't just analyze the web—they do so with a brainy, source-backed edge. Models likeGPT-4o and GPT-4.1sharpen task focusing, with a bit of grounding fromBing Search, de.. read more  

Introducing Deep Research in Azure AI Foundry Agent Service
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AI Can’t Even Fix a Simple Bug — But Sure, Let’s Fire Engineers

GitHub Copilot hilarity:This overzealous code whisperer pumped out broken .NET code like a kid armed with a fire hose. Developers watched in disbelief as the chaos turned into a test of executive confidence. Meanwhile, AI's becoming the scapegoat for layoffs. Truth is, some companies played musical .. read more  

AI Can’t Even Fix a Simple Bug — But Sure, Let’s Fire Engineers
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How I build software quickly

Spike it, then polish it:Jump into rough draft coding. Discover those hidden gems. Avoid crafting convoluted code castles.Beware distractions:Use timers and programming partners like life rafts in a code swamp... read more  

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Build the highest resilience apps with multi-Region strong consistency in Amazon DynamoDB global tables

Amazon DynamoDBjust rolled out a nifty trick: multi-Region strong consistency. It's tailor-made for zero RPO junkies. Even during those pesky Region meltdowns, your data stays fresh as a daisy. Take your pick—go grand with three full replicas or skimp on cash with two replicas and a witness... read more  

Build the highest resilience apps with multi-Region strong consistency in Amazon DynamoDB global tables
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Driving Content Delivery Efficiency Through Classifying Cache Misses

Netflix’sOpen Connectprogram rewires the streaming game. EnterOpen Connect Appliances (OCAs): these local units demolish latency, curbcache misses, and pump up streaming power. How? By magnetizing servers withnetwork proximitywizardry. Meanwhile,Kafkarolls up its sleeves, juggling low-latency logs l.. read more  

Driving Content Delivery Efficiency Through Classifying Cache Misses
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.