LIVE · 05/12
opencodeRELcloud-1.29.0: Bump SDK packages to v1.21.1 (#14350)cloud-1.29.0: Bump SDK packages to v1.21.1 (#14350)[openhands-releases]agent-fwRELlangchain-core==1.4.0langchain-core==1.4.0[langchain-releases]vscodeRELVisual Studio Code 1.120 Release NotesVisual Studio Code 1.120 Release Notes[vscode-updates]vscodeRELVisual Studio Code 1.119 Release NotesVisual Studio Code 1.119 Release Notes[vscode-updates]vscodeRELVisual Studio Code 1.118 Release NotesVisual Studio Code 1.118 Release Notes[vscode-updates]vscodeRELVisual Studio Code 1.117 Release NotesVisual Studio Code 1.117 Release Notes[vscode-updates]vscodeRELVisual Studio Code 1.116 Release NotesVisual Studio Code 1.116 Release Notes[vscode-updates]vscodeRELVisual Studio Code 1.115 Release NotesVisual Studio Code 1.115 Release Notes[vscode-updates]vscodeRELVisual Studio Code 1.114 Release NotesVisual Studio Code 1.114 Release Notes[vscode-updates]vscodeRELVisual Studio Code 1.113 Release NotesVisual Studio Code 1.113 Release Notes[vscode-updates]vscodeRELVisual Studio Code 1.112 Release NotesVisual Studio Code 1.112 Release Notes[vscode-updates]vscodeRELVisual Studio Code 1.111 Release NotesVisual Studio Code 1.111 Release Notes[vscode-updates]vscodeRELVisual Studio Code 1.110 Release NotesVisual Studio Code 1.110 Release Notes[vscode-updates]vscodeRELVisual Studio Code 1.109 Release NotesVisual Studio Code 1.109 Release Notes[vscode-updates]local-llmRELOllama Releases v0.23.3Ollama Releases v0.23.3[ollama-releases]local-llmRELOllama Releases v0.30.0-rc15Ollama Releases v0.30.0-rc15[ollama-releases]cursorRELCursor in Microsoft TeamsCursor in Microsoft Teams[cursor-changelog]local-llmRELv0.30.0-rc14: Merge remote-tracking branch 'upstream/main' into llama-runner-phase-0v0.30.0-rc14: Merge remote-tracking branch 'upstream/main' into llama-runner-phase-0[ollama-releases]local-llmRELv0.23.3-rc0: app: harden update flows (#16100)v0.23.3-rc0: app: harden update flows (#16100)[ollama-releases]local-llmRELOllama Releases v0.30.0-rc13Ollama Releases v0.30.0-rc13[ollama-releases]researchFlashSVD v1.5: Making Low-Rank Transformers Inference Actually FastFlashSVD v1.5: Making Low-Rank Transformers Inference Actually Fast[arxiv-cs-lg]researchProactBench: Beyond What The User Asked ForProactBench: Beyond What The User Asked For[arxiv-cs-lg]researchNeuralBench: A Unifying Framework to Benchmark NeuroAI ModelsNeuralBench: A Unifying Framework to Benchmark NeuroAI Models[arxiv-cs-lg]researchDeep Learning under Fractional-Order Differential PrivacyDeep Learning under Fractional-Order Differential Privacy[arxiv-cs-lg]
Today 56
Total 693
Major 24
Active sources 37/51
Updated just now
Daily Summary

今日の更新

Today's Updates

Today 56 ▼ 81%
Yesterday 288
7-day 502
Last 7 days
34
48
26
14
36
288
56
05/06 05/07 05/08 05/09 05/10 05/11 05/12
Last 7 days article counts
DateCount
2026-05-0634
2026-05-0748
2026-05-0826
2026-05-0914
2026-05-1036
2026-05-11288
2026-05-1256
主要な更新 Top stories 05/12 · 10 件
  1. 01 opencode REL cloud-1.29.0: Bump SDK packages to v1.21.1 (#14350) cloud-1.29.0: Bump SDK packages to v1.21.1 (#14350) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: openhands openhands@all-hands.dev [openhands-releases]
  2. 02 agent-fw REL langchain-core==1.4.0 langchain-core==1.4.0 Changes since langchain-core==0.3.86 chore(infra): merge v1.4 into master ( #37350 ) chore: bump urllib3 from 2.6.3 to 2.7.0 in /libs/core ( #37329 ) fix(core): avoid eager pydantic.v1 import in @depr [langchain-releases]
  3. 03 vscode REL +11 Visual Studio Code 1.120 Release Notes Visual Studio Code 1.120 Release Notes Monthly release notes for VS Code 1.120. [vscode-updates]
  4. 04 local-llm REL +2 Ollama Releases v0.23.3 Ollama Releases v0.23.3 What's Changed mlx: refined model push behavior by @dhiltgen in #15431 test: integration test hardening by @dhiltgen in #13532 app: harden update flows by @dhiltgen in #16100 Full Changelog : v0.23.2. [ollama-releases]
  5. 05 cursor REL Cursor in Microsoft Teams Cursor in Microsoft Teams Cursor is now available in Microsoft Teams. [cursor-changelog]
  6. 06 local-llm REL v0.30.0-rc14: Merge remote-tracking branch 'upstream/main' into llama-runner-phase-0 v0.30.0-rc14: Merge remote-tracking branch 'upstream/main' into llama-runner-phase-0 Conflicts: .github/workflows/test.yaml [ollama-releases]
  7. 07 research FlashSVD v1.5: Making Low-Rank Transformers Inference Actually Fast FlashSVD v1.5: Making Low-Rank Transformers Inference Actually Fast arXiv:2605.08314v1 Announce Type: new Abstract: SVD-based Low-rank compression reduces transformer parameters and nominal FLOPs, but these savings often translate poorly into real LLM serving speedups [arxiv-cs-lg]
  8. 08 research ProactBench: Beyond What The User Asked For ProactBench: Beyond What The User Asked For arXiv:2605.09228v1 Announce Type: new Abstract: Most LLM benchmarks score how well a model responds to explicit requests. They leave unmeasured a different conversational ability: noticing and acting [arxiv-cs-lg]
  9. 09 research Single-Configuration Attack Success Rate Is Not Enough: Jailbreak Evaluations Should Report Distributional Attack Success Single-Configuration Attack Success Rate Is Not Enough: Jailbreak Evaluations Should Report Distributional Attack Success arXiv:2605.09070v1 Announce Type: cross Abstract: Many jailbreak attack research papers report attack success rates for a limited number of parameter settings, even though there are many combinations [arxiv-cs-ai]
  10. 10 research Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient? Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient? arXiv:2605.10848v1 Announce Type: cross Abstract: Does a lexical retriever suffice as large language models (LLMs) become more capable in an agentic loop? This question naturally arises when building [arxiv-cs-ai]
🔥 Today's Top 3 importance × recency
  1. cloud-1.29.0: Bump SDK packages to v1.21.1 (#14350) cloud-1.29.0: Bump SDK packages to v1.21.1 (#14350) openhands-releases 8h ago
  2. langchain-core==1.4.0 langchain-core==1.4.0 langchain-releases 10h ago
  3. CodeQL 2.25.3 adds Swift 6.3 support CodeQL 2.25.3 adds Swift 6.3 support github-changelog 3d ago

Timeline 693 total · page 1/24

TODAY 30 entries
NEW blog gemini just now · google-developers

Supercharging LLM inference on Google TPUs: Achieving 3X speedups with diffusion-style speculative decoding Supercharging LLM inference on Google TPUs: Achieving 3X speedups with diffusion-style speculative decoding

EN Researchers at UCSD have successfully implemented DFlash, a block-diffusion speculative decoding method, on Google TPUs to bypass the sequential bottlenecks of traditional autoregressive drafting. By

EN Researchers at UCSD have successfully implemented DFlash, a block-diffusion speculative decoding method, on Google TPUs to bypass the sequential bottlenecks of traditional autoregressive drafting. By

developers.googleblog.com
Supercharging LLM inference on Google TPUs: Achieving 3X speedups with diffusion-style speculative decoding og
NEW blog gemini just now · google-developers

Building with Gemini Embedding 2: Agentic multimodal RAG and beyond Building with Gemini Embedding 2: Agentic multimodal RAG and beyond

EN Google has announced the general availability of Gemini Embedding 2, a unified model that maps text, images, video, audio, and documents into a single semantic space. This model allows developers to p

EN Google has announced the general availability of Gemini Embedding 2, a unified model that maps text, images, video, audio, and documents into a single semantic space. This model allows developers to p

developers.googleblog.com
Building with Gemini Embedding 2: Agentic multimodal RAG and beyond og
NEW blog gemini just now · google-developers

Speeding Up AI: Bringing Google Colossus to PyTorch via GCSFS and Rapid Bucket Speeding Up AI: Bringing Google Colossus to PyTorch via GCSFS and Rapid Bucket

EN Google Cloud has introduced a high-performance integration that connects Rapid Storage directly to PyTorch via the fsspec interface to eliminate AI training bottlenecks. By utilizing Google’s Colossus

EN Google Cloud has introduced a high-performance integration that connects Rapid Storage directly to PyTorch via the fsspec interface to eliminate AI training bottlenecks. By utilizing Google’s Colossus

developers.googleblog.com
Speeding Up AI: Bringing Google Colossus to PyTorch via GCSFS and Rapid Bucket og
NEW blog gemini just now · google-developers

Building real-world on-device AI with LiteRT and NPU Building real-world on-device AI with LiteRT and NPU

EN LiteRT is a production-ready framework designed to help mobile developers unlock the power of Neural Processing Units (NPUs), overcoming the performance and battery limitations of traditional CPU or G

EN LiteRT is a production-ready framework designed to help mobile developers unlock the power of Neural Processing Units (NPUs), overcoming the performance and battery limitations of traditional CPU or G

developers.googleblog.com
Building real-world on-device AI with LiteRT and NPU og
NEW blog gemini just now · google-developers

Agents CLI in Agent Platform: create to production in one CLI Agents CLI in Agent Platform: create to production in one CLI

EN Google Cloud has introduced the Agents CLI, a specialized tool designed to bridge the gap between local development and production-grade AI agent deployment. The CLI provides coding assistants with ma

EN Google Cloud has introduced the Agents CLI, a specialized tool designed to bridge the gap between local development and production-grade AI agent deployment. The CLI provides coding assistants with ma

developers.googleblog.com
Agents CLI in Agent Platform:  create to production in one CLI og
NEW blog gemini just now · google-developers

Production-Ready AI Agents: 5 Lessons from Refactoring a Monolith Production-Ready AI Agents: 5 Lessons from Refactoring a Monolith

EN The blog post outlines the transition of a brittle sales research prototype into a robust production agent using Google’s Agent Development Kit (ADK). By replacing monolithic scripts with orchestrated

EN The blog post outlines the transition of a brittle sales research prototype into a robust production agent using Google’s Agent Development Kit (ADK). By replacing monolithic scripts with orchestrated

developers.googleblog.com
Production-Ready AI Agents: 5 Lessons from Refactoring a Monolith og
NEW blog gemini just now · google-developers

A2UI v0.9: The New Standard for Portable, Framework-Agnostic Generative UI A2UI v0.9: The New Standard for Portable, Framework-Agnostic Generative UI

EN A2UI v0.9 introduces a framework-agnostic standard designed to help AI agents generate real-time, tailored UI widgets using a company’s existing design system. This update simplifies the developer exp

EN A2UI v0.9 introduces a framework-agnostic standard designed to help AI agents generate real-time, tailored UI widgets using a company’s existing design system. This update simplifies the developer exp

developers.googleblog.com
A2UI v0.9: The New Standard for Portable, Framework-Agnostic Generative UI og
NEW blog gemini just now · google-developers

MaxText Expands Post-Training Capabilities: Introducing SFT and RL on Single-Host TPUs MaxText Expands Post-Training Capabilities: Introducing SFT and RL on Single-Host TPUs

EN MaxText has introduced new support for Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) on single-host TPU configurations, leveraging JAX and the Tunix library for high-performance model r

EN MaxText has introduced new support for Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) on single-host TPU configurations, leveraging JAX and the Tunix library for high-performance model r

developers.googleblog.com
MaxText Expands Post-Training Capabilities: Introducing SFT and RL on Single-Host TPUs og
NEW blog gemini just now · google-developers

Subagents have arrived in Gemini CLI Subagents have arrived in Gemini CLI

EN Gemini CLI has introduced subagents, specialized expert agents that handle complex or high-volume tasks in isolated context windows to keep the primary session fast and focused. These agents can be cu

EN Gemini CLI has introduced subagents, specialized expert agents that handle complex or high-volume tasks in isolated context windows to keep the primary session fast and focused. These agents can be cu

developers.googleblog.com
Subagents have arrived in Gemini CLI og
NEW blog gemini just now · google-developers

New enhancements for merchant initiated transactions with the Google Pay API New enhancements for merchant initiated transactions with the Google Pay API

EN Google has introduced enhancements to the Google Pay API to provide developers with greater flexibility and control over merchant-initiated transactions (MIT). The update includes new objects within t

EN Google has introduced enhancements to the Google Pay API to provide developers with greater flexibility and control over merchant-initiated transactions (MIT). The update includes new objects within t

developers.googleblog.com
New enhancements for merchant initiated transactions with the Google Pay API og
NEW blog gemini just now · google-developers

Build Better AI Agents: 5 Developer Tips from the Agent Bake-Off Build Better AI Agents: 5 Developer Tips from the Agent Bake-Off

EN The Google Cloud AI Agent Bake-Off highlights a shift from simple prompt engineering to rigorous agentic engineering, emphasizing that production-ready AI requires a modular, multi-agent architecture.

EN The Google Cloud AI Agent Bake-Off highlights a shift from simple prompt engineering to rigorous agentic engineering, emphasizing that production-ready AI requires a modular, multi-agent architecture.

developers.googleblog.com
Build Better AI Agents: 5 Developer Tips from the Agent Bake-Off og
NEW blog gemini just now · google-developers

Get ready for Google I/O: Livestream schedule revealed Get ready for Google I/O: Livestream schedule revealed

EN Google I/O returns May 19–20 to showcase major updates in AI, Android, Chrome, and Cloud, beginning with a keynote on the "agentic era" of development. The event will focus on new tools designed to au

EN Google I/O returns May 19–20 to showcase major updates in AI, Android, Chrome, and Cloud, beginning with a keynote on the "agentic era" of development. The event will focus on new tools designed to au

developers.googleblog.com
Get ready for Google I/O: Livestream schedule revealed og
NEW blog gemini just now · google-developers

TorchTPU: Running PyTorch Natively on TPUs at Google Scale TorchTPU: Running PyTorch Natively on TPUs at Google Scale

EN TorchTPU is a new engineering stack designed to provide a native, high-performance experience for running PyTorch workloads on Google’s TPU infrastructure with minimal code changes. It features an "Ea

EN TorchTPU is a new engineering stack designed to provide a native, high-performance experience for running PyTorch workloads on Google’s TPU infrastructure with minimal code changes. It features an "Ea

developers.googleblog.com
TorchTPU: Running PyTorch Natively on TPUs at Google Scale og
NEW blog gemini just now · google-developers

Supporting Google Account username change in your app Supporting Google Account username change in your app

EN Google has updated its account settings to allow U.S. users to change their @gmail.com usernames while keeping all existing account data and inboxes intact. For developers, this means that while old e

EN Google has updated its account settings to allow U.S. users to change their @gmail.com usernames while keeping all existing account data and inboxes intact. For developers, this means that while old e

developers.googleblog.com
Supporting Google Account username change in your app og
NEW blog gemini just now · google-developers

Bring state-of-the-art agentic skills to the edge with Gemma 4 Bring state-of-the-art agentic skills to the edge with Gemma 4

EN Google DeepMind has launched Gemma 4, a family of state-of-the-art open models designed to enable multi-step planning and autonomous agentic workflows directly on-device. The release includes the Goog

EN Google DeepMind has launched Gemma 4, a family of state-of-the-art open models designed to enable multi-step planning and autonomous agentic workflows directly on-device. The release includes the Goog

developers.googleblog.com
Bring state-of-the-art agentic skills to the edge with Gemma 4 og
NEW blog gemini just now · google-developers

Developer’s Guide to Building ADK Agents with Skills Developer’s Guide to Building ADK Agents with Skills

EN The Agent Development Kit (ADK) SkillToolset introduces a "progressive disclosure" architecture that allows AI agents to load domain expertise on demand, reducing token usage by up to 90% compared to

EN The Agent Development Kit (ADK) SkillToolset introduces a "progressive disclosure" architecture that allows AI agents to load domain expertise on demand, reducing token usage by up to 90% compared to

developers.googleblog.com
Developer’s Guide to Building ADK Agents with Skills og
NEW blog gemini just now · google-developers

ADK Go 1.0 Arrives! ADK Go 1.0 Arrives!

EN The launch of Agent Development Kit (ADK) for Go 1.0 marks a significant shift from experimental AI scripts to production-ready services by prioritizing observability, security, and extensibility. Key

EN The launch of Agent Development Kit (ADK) for Go 1.0 marks a significant shift from experimental AI scripts to production-ready services by prioritizing observability, security, and extensibility. Key

developers.googleblog.com
ADK Go 1.0 Arrives! og
NEW blog gemini just now · google-developers

Boost Training Goodput: How Continuous Checkpointing Optimizes Reliability in Orbax and MaxText Boost Training Goodput: How Continuous Checkpointing Optimizes Reliability in Orbax and MaxText

EN The newly introduced continuous checkpointing feature in Orbax and MaxText is designed to optimize the balance between reliability and performance during model training, addressing issues with convent

EN The newly introduced continuous checkpointing feature in Orbax and MaxText is designed to optimize the balance between reliability and performance during model training, addressing issues with convent

developers.googleblog.com
Boost Training Goodput: How Continuous Checkpointing Optimizes Reliability in Orbax and MaxText og