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CompanyAnthropic8 recent entries
20 Apr 2026Reading today's open-closed performance gap

This 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

→22 Apr 2026What’s new in the Agentic Data Cloud: Powering the System of Action

Companies 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

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    22 Apr 2026What’s new in BigQuery: Powering the Agentic Era

    Succeeding 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

    →30 Apr 2026What Google Cloud announced in AI this month

    Editor’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

    →9 Jun 2026Claude Fable 5 and new AI safety fables

    This article discusses Claude Fable 5, likely exploring Anthropic's latest version of their AI model and examining new fables or narratives related to AI safety concepts. The piece probably analyzes h

    →24 Sept 2026How Google Cloud Networking Supports Your Fluid Compute Choices for AI Workloads

    The availability of resources for AI workloads can be challenging across the industry, especially accelerators. This can slow your AI workload deployment if it’s built around a specific type of accele

    →4 Oct 2026Synthesis: Elon-Musk--X

    Auto-generated synthesis of 2431 entries about elon-musk--x

    →6 Oct 2026GLM-5.3's open release has yet to produce major attacks despite Anthropic's warnings about its Mythos-level cyber risk, undercutting calls to ban open models (Nathan Lambert/Interconnects AI)

    Nathan Lambert / Interconnects AI: GLM-5.3's open release has yet to produce major attacks despite Anthropic's warnings about its Mythos-level cyber risk, undercutting calls to ban open models — Open-

    CompanyOpenAI2 recent entries
    20 Apr 2026Reading today's open-closed performance gap

    This 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 K3

    DigitalOcean 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 entries
    11 May 2026Cluster-level reliability for trillion-parameter models on TPUs

    Frontier 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 era

    Over 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 internally

    Welcome 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 beyond

    In 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 agents

    Today’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 cloud

    For 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

    →3 Sept 2026Google named a Leader in 2026 Gartner® Magic Quadrant™ for Strategic Cloud Platform Services

    For the ninth consecutive year, Gartner® has named Google a Leader in the Gartner Magic Quadrant™ for Strategic Cloud Platform Services, positioned furthest for Completeness of Vision. We believe this

    →18 Sept 2026Accelerating the borderless Lakehouse: Announcing preview of cross-cloud caching

    Today, we are excited to announce enhancements to the borderless Lakehouse, our answer to how data engineers, data scientists, and increasingly, AI agents, can query governed data directly where it li

    CompanyMeta6 recent entries
    14 Apr 2026Navigating the generative AI journey: The Path-to-Value framework from AWS

    The 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-2026

    A 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 gap

    This 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 compound

    This 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 K3

    DigitalOcean 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

    →1 Sept 2026Financially Motivated Threat Actor BREEZE COMET Targets Brazil

    Introduction Beginning in 2024 Mandiant investigated a string of compromises affecting Brazilian financial services, retail, and eCommerce organizations. Google Threat Intelligence Group (GTIG) tracks

    CompanyMistral2 recent entries
    15 Apr 2026My bets on open models, mid-2026

    A 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 compound

    This article examines how open-source AI model ecosystems create compounding effects through community contributions, fine-tuning, and iterative improvements that accelerate innovation and accessibili

    CompanyxAI1 recent entries
    4 Oct 2026Synthesis: Elon-Musk--X

    Auto-generated synthesis of 2431 entries about elon-musk--x

    CompanyDeepSeek1 recent entries
    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

    CompanyNVIDIA8 recent entries
    24 Apr 2026260 things we announced at Google Cloud Next '26 – a recap

    Google 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 Blackwell

    The 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 Factories

    Battery 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 AI

    NVIDIA’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 K3

    DigitalOcean 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

    →24 Aug 2026Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules

    NVIDIA’s Spectrum‑X Ethernet combines hardware‑accelerated adaptive routing, targeted congestion control and NIC‑based plane load balancing to meet the extreme bandwidth and low‑latency demands of gig

    →3 Sept 2026Google named a Leader in 2026 Gartner® Magic Quadrant™ for Strategic Cloud Platform Services

    For the ninth consecutive year, Gartner® has named Google a Leader in the Gartner Magic Quadrant™ for Strategic Cloud Platform Services, positioned furthest for Completeness of Vision. We believe this

    →24 Sept 2026How Google Cloud Networking Supports Your Fluid Compute Choices for AI Workloads

    The availability of resources for AI workloads can be challenging across the industry, especially accelerators. This can slow your AI workload deployment if it’s built around a specific type of accele