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Google Cloud has released TPU Sync, an open-source C++ library for moving KV caches and model weights on Cloud TPUs. The Google TPU Sync KV cache transfer library treats TPU HBM, host DRAM, shared storage and the data center network as one memory hierarchy. It targets a growing bottleneck: moving model state, not computing it.
Google Releases TPU Sync: Open-Source KV Cache Transfer for TPUs Read More »
AWS has released AWS Emulator, a local emulator of the AWS APIs. You run it on a laptop, a dev server or in CI. The AWS CLI and SDKs talk to it instead of AWS. No AWS account is needed, and there is no service fee. The unusual part: autonomous agents wrote and reviewed all
AWS Releases AWS Emulator: A Local Copy of 200+ AWS Services Built by AI Agents Read More »
Google DeepMind has released AlphaGenome 2, a DNA model that predicts variant effects in specific cell types. AlphaGenome 2 is a conditional sequence-to-function model. It reads 1 Mb of DNA plus a target cell state. Its predecessor averaged across bulk tissues. The new model resolves closely related cell types and adapts to unseen single-cell datasets
Google DeepMind Releases AlphaGenome 2 for Cell-Type-Specific Variant Effects Read More »
Meta Superintelligence Labs has released Muse Ember, its smallest and most efficient model. Meta Muse Ember is a hosted multimodal reasoning model built for the repetitive steps inside agents. Meta lists tool calls, coding subtasks, routing, extraction and long document parsing as targets. It scores 36 on the Artificial Analysis Intelligence Index, level with Claude
Meta Releases Muse Ember, a 1M-Context Model for High-Volume Agent Work Read More »
Reason Machines has released Aspen, an open-source Git server for AI agent traffic. It targets repositories that hundreds of agents push to at once. Aspen independently implements the design OpenAI described for Pando. TL;DR Size: One Rust binary. Branches live in PostgreSQL (or SQLite), packs live in object storage. Runs on: A laptop (aspen dev),
Reason Machines Open-Sources Aspen, a Git Server Built for AI Agents Read More »
Zurich-based 0sec Labs has released 0, an open-source AI security harness. It runs vulnerability investigations, code review, pentesting, reverse engineering and fix generation. Developers drive it from a local browser console, a headless CLI or an MCP server. The 0sec Labs open-source AI security harness is licensed MIT OR Apache-2.0 and ships as a research
0sec Labs Open-Sources 0, an AI Security Harness With Web UI, CLI and MCP Read More »
Every Mixture-of-Experts (MoE) model repeats one decision for every token: which experts should process it. That decision belongs to the router. MoE routing strategies shape quality, load balance and serving cost in every major open model. This guide explains the 7 routing strategies used in production, and the models that use each one. TL;DR Size:
Buoyant, the company behind Linkerd, has released Kinference, an open source project for building inference platforms on Kubernetes. Kinference is an inference control plane for Kubernetes and vLLM. It sits in front of a fleet of vLLM workers and decides where each request goes. It applies routing policies, token rate limits, KV-cache-aware load balancing and
OpenAI has introduced Pando, a new Git backend that now serves all development in its monorepo. The OpenAI Pando Git backend keeps the standard Git client and protocol. Engineers and Codex agents still run git push and git fetch as before. Only the server changed. OpenAI team reports median push latency fell nearly 80%. Pando
OpenAI Introduces Pando: A Git Backend That Cuts Median Push Latency ~80% Read More »
Zyphra has released Zyphra Hierarchical Attention (ZHA), a sparse attention method built around a tree-structured indexer. ZHA targets a known gap in sparse attention: the indexer that picks tokens still scans the whole context. Zyphra’s technical paper shows ZHA can be distilled into frozen pretrained models with about 4B tokens. On Qwen3.6-35B-A3B it stays close
