CompanyAnthropic8 recent entries9 Apr 2026Claude Mythos and misguided open-weight fearmongeringThe *Interconnects.ai* article argues that fears around releasing an open-weight version of Claude Mythos are overstated, noting that closed frontier models still lead open-weight ones in robust, ...→9 Apr 2026A developer’s guide to architecting reliable GPU infrastructure at scaleEditor’s note: This blog post outlines Google Cloud’s GPU AI/ML infrastructure reliability strategy, and will be updated with links to new community articles as they appear. As we enter the era of mul
CompanyOpenAI2 recent entries20 Apr 2026Reading today's open-closed performance gapThis article analyzes the performance differences between open-source and closed-source AI models in the current landscape, examining factors that influence their relative capabilities and market posi→30 Jul 2026Under the Hood: Serving Kimi K3DigitalOcean launched Kimi K3 on day 0. It’s already one of the most popular models on the platform and across the market: second most likes on Hugging Face, sixth most traffic on OpenCode. Getting a
CompanyGoogle8 recent entries24 Apr 2026260 things we announced at Google Cloud Next '26 – a recapGoogle Cloud Next ‘26 took place this week in Las Vegas, and the energy was incredible as we welcomed over 32,000 leaders, developers, and partners to explore the Agentic Era with us. Across three key→30 Apr 2026What Google Cloud announced in AI this monthEditor’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 host→11 May 2026Cluster-level reliability for trillion-parameter models on TPUsFrontier AI models have redefined the unit of compute. At trillion-parameter scale, AI training requires thousands of interconnected components, orchestrated in industrial-scale deployments to operate→26 May 2026How we evolved Google’s global and data center networks for the AI eraOver the last 25 years of building Google’s global network, we’ve navigated major architectural eras — from the Internet, to streaming, and the cloud. Today, we are squarely in the midst of a fourth: →29 Jun 2026Cloud CISO Perspectives: How Google Cloud Security uses AI internallyWelcome 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 Perspect→13 Jul 2026Key findings from the 2026 Public Sector M-Trends report and beyondIn 2026, the public sector is no longer defending a traditional perimeter. Instead, they are defending a complex web of interconnected trust relationships against adversaries that now operate at machi→29 Jul 2026The borderless Lakehouse: Bring AWS, Databricks and Snowflake data to your AI agentsToday’s data lakehouse is no longer mere data repository, but increasingly a system of action, actively executing tasks via always-on, autonomous AI agents. Rather than waiting for static reports, the→3 Aug 2026Real-world mainframe modernization with AI: A safe, scalable path from mainframe to cloudFor too long, enterprises with legacy mainframe estates have been faced with a high-stakes dilemma: continue maintaining their mainframes, essentially kicking the modernization can down the road (they
CompanyMeta5 recent entries14 Apr 2026Navigating the generative AI journey: The Path-to-Value framework from AWSThe AWS Generative AI Path-to-Value (P2V) framework is a structured mental model and practical guide designed to help organizations move generative AI initiatives from ideation and experimentation thr→15 Apr 2026My bets on open models, mid-2026A mid-2026 outlook piece from the Interconnects AI newsletter in which the author makes specific predictions about the trajectory of open-weight language models, likely covering expected capability mi→20 Apr 2026Reading today's open-closed performance gapThis article analyzes the performance differences between open-source and closed-source AI models in the current landscape, examining factors that influence their relative capabilities and market posi→12 May 2026How open model ecosystems compoundThis article examines how open-source AI model ecosystems create compounding effects through community contributions, fine-tuning, and iterative improvements that accelerate innovation and accessibili→30 Jul 2026Under the Hood: Serving Kimi K3DigitalOcean launched Kimi K3 on day 0. It’s already one of the most popular models on the platform and across the market: second most likes on Hugging Face, sixth most traffic on OpenCode. Getting a
CompanyMistral2 recent entries15 Apr 2026My bets on open models, mid-2026A mid-2026 outlook piece from the Interconnects AI newsletter in which the author makes specific predictions about the trajectory of open-weight language models, likely covering expected capability mi→12 May 2026How open model ecosystems compoundThis article examines how open-source AI model ecosystems create compounding effects through community contributions, fine-tuning, and iterative improvements that accelerate innovation and accessibili
CompanyDeepSeek1 recent entries16 May 2026Latest open artifacts (#21): Open model bonanza! Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, GLM-5.1 & others. On CAISI's V4 assessment.This article covers recent releases of open-source AI models including Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, and GLM-5.1, along with discussion of CAISI's V4 model assessment framework. The piece
CompanyNVIDIA8 recent entries22 Apr 2026What’s new with the Cross-Cloud Network at Next ‘26While generative AI sparked a revolution, the true paradigm shift is the rapid evolution from standalone AI models to multi-agent autonomous systems. In this new era, the network transcends basic conn→22 Apr 2026Day 1 at Google Cloud Next ‘26 recapLast year at Google Cloud Next ‘25, we asked you to imagine a new future for AI. At Next ‘26, the question before you is how do you move AI into production across your entire enterprise? According to →22 Apr 2026Advancing Emerging Optimizers for Accelerated LLM Training with NVIDIA MegatronThis blog post discusses higher-order optimization algorithms such as Shampoo that have been applied in neural network training for at least a decade. The article explores how these emerging optimizer→24 Apr 2026260 things we announced at Google Cloud Next '26 – a recapGoogle Cloud Next ‘26 took place this week in Las Vegas, and the energy was incredible as we welcomed over 32,000 leaders, developers, and partners to explore the Agentic Era with us. Across three key→12 May 2026How Imgix processes 8 billion images daily with G4 VMs powered by NVIDIA BlackwellThe modern web is extremely visual. People are busy and easily-distracted, and smart companies know they have just seconds to attract would-be customers with compelling images, videos, animations, and→10 Jun 2026Designing Production-Ready Battery Energy Storage Systems for AI FactoriesBattery energy storage systems serve as grid-interactive control assets that buffer fast-changing, power-dense AI loads, improve power quality, and enable flexible interconnection with utilities and d→21 Jul 2026NVIDIA Vera CPU: Olympus Cores Built for Maximum Single-Thread Performance in Agentic AINVIDIA’s Vera CPU, built around the Olympus core, is engineered for agentic‑AI workloads that rely heavily on single‑thread performance, deep memory‑level parallelism, and efficient handling of irregu→30 Jul 2026Under the Hood: Serving Kimi K3DigitalOcean launched Kimi K3 on day 0. It’s already one of the most popular models on the platform and across the market: second most likes on Hugging Face, sixth most traffic on OpenCode. Getting a