ContentPosts from @thiago_nelsi..
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

Database Monitoring Metrics: What to Track & Why It Matters

Not all database metrics are created equal. Learn which ones to track, why they matter, and how they help you stay ahead of performance issues.

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@faun shared a link, 1 year ago
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Building A Virtual Machine inside ChatGPT

ChatGPTmoonlights as a virtual Linux machine, performing calculations faster than some actual hardware. Impressive, right? But don't get too excited—it can't juggle real-time tasks or tap into a GPU. A digital superhero with a glaring Achilles' heel... read more  

Building A Virtual Machine inside ChatGPT
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@faun shared a link, 1 year ago
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The best AI for coding in 2025 (and what not to use - including DeepSeek R1)

ChatGPT Plusaces coding tests. Meanwhile,Microsoft's CopilotandMeta AItrip over their virtual feet. These AIs can patch bugs like pros, but crafting full-fledged apps? Not in their current skill set... read more  

The best AI for coding in 2025 (and what not to use - including DeepSeek R1)
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@faun shared a link, 1 year ago
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Microsoft Copilot in Azure is now generally available

CopilotinAzurereaches general availability, choppingresponse times by 30%and saving over30,000 developer hours a month. Now free with a rock-solid>99.9% uptime. Tuned up for accessibility, real-time AI chat, andTerraformsupport—all with a keen eye on responsible AI and localization! 🚀.. read more  

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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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@faun shared a link, 1 year ago
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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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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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Google announces Sec-Gemini v1, a new experimental cybersecurity model

Sec-Gemini v1steamrolls cybersecurity benchmarks, leaving rivals eating digital dust. It’s 11% better on CTI-MCQ and 10.5% sharper on CTI-Root Cause Mapping, thanks to cutting-edge threat intelligence and vulnerability insights. With a little help fromGoogle Threat Intelligenceand OSV, it decodes co.. read more  

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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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Benchmarking a 65,000-node GKE cluster with AI workloads

GKE’s now flexes with a colossal 65,000-node cluster—a boon for AI workloads that feast on mega infrastructure. Building on their 50,000+ TPU cluster saga, GKE tackles AI workload quirks like resource juggling and node chatter. In CPU stress tests, they whipped up 65,000 StatefulSet Pods, flaunting .. read more Â