ContentPosts from @roerohan..
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Computer Use Agents (CUAs) for Enhanced Automation

Azure OpenAI Service's Responses APIhas rolled out theComputer Use Agent (CUA)—an AI that actually uses a computer like a human, and no, you're not dreaming. These CUAs harnessmultimodal visionand AI frameworks to navigate tasks with nimble reasoning. Forget your one-trick-pony RPAs; these guys brea.. read more  

Computer Use Agents (CUAs) for Enhanced Automation
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Google Is Winning on Every AI Front

Google's Gemini 2.5 Probulldozes through benchmarks like LMArena and GPQA Diamond. With its gargantuan1 million token context windowand zero-cost access, it leavesOpenAIeating its dust. Google’s sprawling ecosystem welcomes Gemini with open arms. They're not just ruling AI text models; they command .. read more  

Google Is Winning on Every AI Front
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Announcing the Agent2Agent Protocol (A2A)- Google Developers Blog

A2A Protocoltosses AI agents from different vendors into a communal sandbox. Over 50 tech behemoths likeGoogle, Salesforce, and PayPalrally behind it. Here, silos crumble. Built on solid tech standards, it lets agents dance through vibrant, multi-agent workflows. Think of it as a revolutionary leap .. read more  

Announcing the Agent2Agent Protocol (A2A)- Google Developers Blog
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AI code suggestions sabotage software supply chain

Look sharp!LLM-driven toolsare fabricating package names out of thin air. In commercial models, it's5.2%. For open models, a staggering21.7%. Ideal for those up to no good and into "slopsquatting.".. read more  

AI code suggestions sabotage software supply chain
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Python: Get YouTube Video Transcript From URL For Use In Generative AI And RAG Summarization

Ever tried wrangling YouTube transcripts with Python? Do it. Then crank your Generative AI’s IQ by tossing those transcripts straight intoLLMs. Voilà—you’ve got a brainier machine, serving up insight like a pro... read more  

Python: Get YouTube Video Transcript From URL For Use In Generative AI And RAG Summarization
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Claude 3.7 Sonnet vs ChatGPT 4o: A Hands-On Comparison for AWS Graviton Calculator Development

Claude 3.7 Sonnetnailed it, dazzling with primo JavaScript, killer charts, and slick CSS.ChatGPT? A tad sluggish. It needed a tune-up and some shine. But toss inClinewith Claude? Boom—instant mystery infusion. Yet, the real showstopper? Claude's knack for spewing out rock-solid, deploy-ready code. P.. read more  

Claude 3.7 Sonnet vs ChatGPT 4o: A Hands-On Comparison for AWS Graviton Calculator Development
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Amazon's new AI agent will shop third-party sites for you

Amazon's"Buy for Me"AI turns shopping into an adventure. Explore the wilds beyond Amazon without ever abandoning the app. This tech genie, conjured byAmazon NovaandAnthropic's Claude, brings a few trust demons along for the ride... read more  

Amazon's new AI agent will shop third-party sites for you
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Serverless Horrors: The Real Cost of “Simple” Cloud Deployments

ServerlessHorrorsspins spine-tingling yarns of five- or six-figure bills lurking behind so-called "free tiers." Those sneaky fees laugh in the face of your budget. Watch out for bandwidth traps, sneaky egress costs, and AI code that can't stop itself.... read more  

Serverless Horrors: The Real Cost of “Simple” Cloud Deployments
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Prepping for post-quantum: a beginner’s guide to lattice cryptography

TLS isn’t safe from quantum—lattices step in. ML-KEM secures encryption, ML-DSA signs it tight. Key exchange gets bigger, not slower. Vectors, matrices, and modular math drive post-quantum security. Cloudflare’s already using it. Now it’s your turn to understand how... read more  

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Beyond “5 Whys”: A Better Way to Learn from Incidents

The most important purpose of a post-incident review is to learn from incidents and improve the system. The "5 Whys" technique, while intuitive and easy to explain, may have limitations in facilitating meaningful learning from incidents. Open-ended questions in post-incident reviews can lead to rich.. read more Â