CompanyAnthropic8 recent entries22 Apr 2026What’s new in the Agentic Data Cloud: Powering the System of ActionCompanies are shifting from gen AI that simply answers questions to autonomous agents that perceive, reason, and act on their behalf. Attempting to scale these agents on legacy stacks exposes structur→22 Apr 2026What’s new in BigQuery: Powering the Agentic EraSucceeding in the agentic era requires a transformation in your data strategy: moving from human-scale to agent-first workloads, evolving from reactive intelligence to proactive action, and shifting f
CompanyOpenAI3 recent entries11 Apr 2026ended up writing similar style post: your harness, your memory https://x.com/hwchase17/status/2042978500567609738 cited @sarahwooders post a…Harrison Chase, co-founder of LangChain, wrote a post in a similar style to a piece by Sarah Wooders, focusing on the concept of 'your harness, your memory' in the context of AI agents and memory syst→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→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 entries30 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→14 May 2026Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and AnalyticsarXiv:2605.12728v1 Announce Type: cross Abstract: The power distribution engineering workforce faces a projected shortage of up to 1.5 million engineers by 2030, creating urgent demand for more access→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
CompanyMeta8 recent entries17 Apr 2026LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI SystemsarXiv:2601.14053v2 Announce Type: replace-cross Abstract: The field of artificial intelligence has undergone a revolution from foundational Transformer architectures to reasoning-capable systems appro→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→24 Apr 2026Efficient Logic Gate Networks for Video Copy DetectionarXiv:2604.21694v1 Announce Type: cross Abstract: Video copy detection requires robust similarity estimation under diverse visual distortions while operating at very large scale. Although deep neural →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→14 May 2026Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and AnalyticsarXiv:2605.12728v1 Announce Type: cross Abstract: The power distribution engineering workforce faces a projected shortage of up to 1.5 million engineers by 2030, creating urgent demand for more access→21 May 2026Understanding and Improving Communication Performance in Multi-node LLM InferencearXiv:2511.09557v4 Announce Type: replace-cross Abstract: As large language models (LLMs) continue to grow in size, distributed inference has become increasingly important. Model-parallel strategies m→2 Jul 2026Autonomous Scientific Discovery via Iterative Meta-ReflectionarXiv:2607.01131v1 Announce Type: cross Abstract: Autonomous scientific discovery systems offer the potential to accelerate research by automating the process of hypothesis generation and validation. →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
CompanyMistral3 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→27 Jul 2026Kimi K3 weights drop today. We're deploying on A100s, H200s and B300s this week and the A100 math is already roughtldr; we are going to host K3 on A100s (yes, thats correct, we'll try to see if it holds up), H200s & B300s - expect results for A100s & H200s this week while we setup the B300 cluster this weekend &
CompanyDeepSeek5 recent entries17 Apr 2026LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI SystemsarXiv:2601.14053v2 Announce Type: replace-cross Abstract: The field of artificial intelligence has undergone a revolution from foundational Transformer architectures to reasoning-capable systems appro→16 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→21 May 2026Diagnosing Overhead in Dispatch Operations: Cross-architecture ObservatoryarXiv:2605.20982v1 Announce Type: cross Abstract: AlltoAll dispatch is the dominant bottleneck of MoE expert parallelism, and the interconnect community has responded with four families of mitigations→28 May 2026How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM ServingarXiv:2605.28302v1 Announce Type: cross Abstract: Modern large language model (LLM) inference has progressively disaggregated to keep pace with growing model sizes and tight TTFT and TPOT service-leve→27 Jul 2026Kimi K3 weights drop today. We're deploying on A100s, H200s and B300s this week and the A100 math is already roughtldr; we are going to host K3 on A100s (yes, thats correct, we'll try to see if it holds up), H200s & B300s - expect results for A100s & H200s this week while we setup the B300 cluster this weekend &
CompanyNVIDIA8 recent entries12 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→19 May 2026Progressive Generalization Augmentation with Deeply Coupled RND-PPO and Domain-Prioritized Noise Injection for Robust Crop Management Reinforcement LearningarXiv:2605.17428v1 Announce Type: cross Abstract: Our preliminary experiments on gym-DSSAT maize irrigation tasks revealed that +/-2 degrees C temperature noise causes an 11.9% reduction in economic r→21 May 2026Diagnosing Overhead in Dispatch Operations: Cross-architecture ObservatoryarXiv:2605.20982v1 Announce Type: cross Abstract: AlltoAll dispatch is the dominant bottleneck of MoE expert parallelism, and the interconnect community has responded with four families of mitigations→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→8 Jul 2026UBEP: Re-architecting Expert Parallelism Communication Library for Production SuperpodsarXiv:2607.06202v1 Announce Type: cross Abstract: The deployment of Mixture-of-Experts (MoE) models on production high-bandwidth superpods, such as NVIDIA's NVL72/576 and Huawei's CloudMatrix384, intr→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→25 Jul 2026PSA: DO NOT use Intel consumer platforms for multi-GPU setupsSince a lot more people are trying to build their own multi-GPU machines, I thought I should help to prevent a common mistake people make with building multi-GPU machines. Which is using an Intel cons→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