ContentPosts from @solaris..
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@faun shared a link, 8 months, 1 week ago
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Introducing the Llama 4 herd in Azure AI Foundry and Azure Databricks

Llama 4 Scouton Azure AI Foundry doesn’t just sit around; it dives into its massive 10 million token context like it's born for deep dives and endless document wrangling. Meanwhile,Llama 4 Mavericktakes multilingual, multimodal chat conversations where few dare to go. Its Mixture of Experts architec.. read more  

Introducing the Llama 4 herd in Azure AI Foundry and Azure Databricks
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@faun shared a link, 8 months, 1 week 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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@faun shared a link, 8 months, 1 week 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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@faun shared a link, 8 months, 1 week ago
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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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@faun shared a link, 8 months, 1 week ago
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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  

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@faun shared a link, 8 months, 1 week 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, 8 months, 1 week ago
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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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@faun shared a link, 8 months, 1 week ago
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Exploring GPU Sharing in Kubernetes with NVIDIA KAI Scheduler and SDG

NVIDIA's KAI SchedulerandExostellar's SDGshowcase the nerd ballet of fractional GPU scheduling. KAI slices GPU time like a master chef carving a roast, yet can't keep its focus solo—leading to app skirmishes. In contrast,Exostellar SDGnails resource control, quarantines workloads like a germaphobe, .. read more  

Exploring GPU Sharing in Kubernetes with NVIDIA KAI Scheduler and SDG
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@faun shared a link, 8 months, 1 week 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, 8 months, 1 week ago
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Anthropic scientists expose how AI actually ‘thinks’ — and discover it secretly plans ahead and sometimes lies

Anthropic develops new method to peer inside large language models like Claude, revealing advanced capabilities and internal processes. The research demonstrates models plan ahead, use similar blueprint for interpreting ideas across languages, and sometimes work backward from desired outcome. The ap.. read more Â