CompanyAnthropic8 recent entries9 Jun 2026Claude Fable 5 and new AI safety fablesThis 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→23 Jul 2026CEO-Bench: Can Agents Play the Long Game?arXiv:2606.18543v2 Announce Type: replace Abstract: Language model agents are becoming proficient executors at isolated, short-horizon tasks such as software engineering and customer service. Yet real
CompanyOpenAI4 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 →13 Sept 2026Law enforcers already have authority to charge companies and their CEOs for creating and releasing dangerous, unvetted, or defective product…Law enforcers already have authority to charge companies and their CEOs for creating and releasing dangerous, unvetted, or defective products. We shouldn’t let discussions about new legal regimes dist
CompanyGoogle8 recent entries14 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→3 Sept 2026Google named a Leader in 2026 Gartner® Magic Quadrant™ for Strategic Cloud Platform ServicesFor 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 cachingToday, 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
CompanyMeta8 recent entries21 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 →28 Aug 2026Graph-Guided Selective Unlearning for Language Models: Controlling Support Routes Beyond Forget SeedsarXiv:2608.26743v1 Announce Type: new Abstract: Enterprises fine-tune language models on proprietary data that may later require removal due to privacy, contractual, or compliance obligations. Selecti→1 Sept 2026Financially Motivated Threat Actor BREEZE COMET Targets BrazilIntroduction Beginning in 2024 Mandiant investigated a string of compromises affecting Brazilian financial services, retail, and eCommerce organizations. Google Threat Intelligence Group (GTIG) tracks→18 Sept 2026MeshKV: A Network-on-Chip KV Cache Fabric for Scalable Transformer Decoding AcceleratorsarXiv:2609.19207v1 Announce Type: cross Abstract: Autoregressive transformer decoding is constrained by irregular key-value (KV) cache movement on tiled accelerators. Prior compression and DRAM-placem→28 Sept 2026The KV Cache Is the New Memory WallarXiv:2609.30854v1 Announce Type: cross Abstract: Autoregressive LLM inference at long context is bounded by memory bandwidth, not arithmetic throughput, and the binding resource shifts from model wei→5 Oct 2026Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the WildarXiv:2407.12927v4 Announce Type: replace Abstract: Systems for multimodal emotion recognition (ER) are commonly trained to extract features from different modalities (e.g., visual, audio, and textual
CompanyMistral4 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 & →18 Sept 2026MeshKV: A Network-on-Chip KV Cache Fabric for Scalable Transformer Decoding AcceleratorsarXiv:2609.19207v1 Announce Type: cross Abstract: Autoregressive transformer decoding is constrained by irregular key-value (KV) cache movement on tiled accelerators. Prior compression and DRAM-placem
CompanyxAI2 recent entries15 Sept 2026Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G NetworksarXiv:2609.13872v1 Announce Type: cross Abstract: As 6G networks transition from theoretical frameworks into operational realities, artificial intelligence (AI) evolves from an add-on optimization too→4 Oct 2026Synthesis: Elon-Musk--XAuto-generated synthesis of 2431 entries about elon-musk--x
CompanyDeepSeek6 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 & →21 Sept 2026Programming AMD XDNA NPUs with Open-source Compiler Tools: A FlashAttention Case StudyarXiv:2609.21264v1 Announce Type: cross Abstract: Spatial NPUs such as AMD XDNA place compute tiles beside small local memories and leave data movement between them to software. Mapping a multi-stage
CompanyNVIDIA8 recent entries21 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 →24 Aug 2026Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the RulesNVIDIA’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 ServicesFor 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→13 Sept 2026Law enforcers already have authority to charge companies and their CEOs for creating and releasing dangerous, unvetted, or defective product…Law enforcers already have authority to charge companies and their CEOs for creating and releasing dangerous, unvetted, or defective products. We shouldn’t let discussions about new legal regimes dist→24 Sept 2026How Google Cloud Networking Supports Your Fluid Compute Choices for AI WorkloadsThe 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→28 Sept 2026The KV Cache Is the New Memory WallarXiv:2609.30854v1 Announce Type: cross Abstract: Autoregressive LLM inference at long context is bounded by memory bandwidth, not arithmetic throughput, and the binding resource shifts from model wei