LIVE · 05/08
local-llmRELOllama Releases v0.30.0-rc7Ollama Releases v0.30.0-rc7[ollama-releases]local-llmRELOllama Releases v0.30.0-rc5Ollama Releases v0.30.0-rc5[ollama-releases]local-llmRELOllama Releases v0.23.2-rc0Ollama Releases v0.23.2-rc0[ollama-releases]geminiBuilding with Gemini Embedding 2: Agentic multimodal RAG and beyondBuilding with Gemini Embedding 2: Agentic multimodal RAG and beyond[google-developers]geminiGet ready for Google I/O: Livestream schedule revealedGet ready for Google I/O: Livestream schedule revealed[google-developers]tech-newsMetaがカナダのオンラインニュース法案C-22に反対表明Meta’s Position on Canada’s Bill C-22[meta-newsroom]tech-newsOpenAIの未来巡るMuskとAltmanの法廷闘争、最新動向Live updates from Elon Musk and Sam Altman’s court battle over the future of OpenAI[the-verge]local-llmRELOllama v0.23.2 リリース、ローカルLLM実行環境の小幅アップデートOllama Releases v0.23.2[ollama-releases]local-llmRELOllama、v0.30.0-rc6リリース候補版を公開Ollama Releases v0.30.0-rc6[ollama-releases]researchAre Flat Minima an Illusion?Are Flat Minima an Illusion?[arxiv-cs-lg]researchNationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified ModelsNationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models[arxiv-cs-lg]researchSAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement GuaranteesSAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees[arxiv-cs-lg]researchPhysics-Informed Neural Networks with Learnable Loss Balancing and Transfer LearningPhysics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning[arxiv-cs-lg]researchHorizon-Constrained Rashomon Sets for Chaotic ForecastingHorizon-Constrained Rashomon Sets for Chaotic Forecasting[arxiv-cs-lg]researchSparse Prefix Caching for Hybrid and Recurrent LLM ServingSparse Prefix Caching for Hybrid and Recurrent LLM Serving[arxiv-cs-lg]researchMidSteer: Optimal Affine Framework for Steering Generative ModelsMidSteer: Optimal Affine Framework for Steering Generative Models[arxiv-cs-lg]researchData-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis DiscoveryData-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery[arxiv-cs-lg]researchAdaptive Computation Depth via Learned Token Routing in TransformersAdaptive Computation Depth via Learned Token Routing in Transformers[arxiv-cs-lg]researchStructural Instability of Feature CompositionStructural Instability of Feature Composition[arxiv-cs-lg]researchChannel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training ParadigmsChannel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training Paradigms[arxiv-cs-lg]researchMACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE InferenceMACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference[arxiv-cs-lg]researchInternalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for ReasoningInternalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning[arxiv-cs-lg]researchRethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline MethodsRethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods[arxiv-cs-lg]researchEvolutionary fine tuning of quantized convolution-based deep learning modelsEvolutionary fine tuning of quantized convolution-based deep learning models[arxiv-cs-lg]
Today 68
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主要な更新 Top stories 05/08 · 10 件
  1. 01 local-llm REL +4 Ollama Releases v0.30.0-rc7 Ollama Releases v0.30.0-rc7 disable openmp [ollama-releases]
  2. 02 gemini Building with Gemini Embedding 2: Agentic multimodal RAG and beyond Building with Gemini Embedding 2: Agentic multimodal RAG and beyond 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 [google-developers]
  3. 03 gemini Get ready for Google I/O: Livestream schedule revealed Get ready for Google I/O: Livestream schedule revealed 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 [google-developers]
  4. 04 tech-news Metaがカナダのオンラインニュース法案C-22に反対表明 Meta’s Position on Canada’s Bill C-22 Metaはカナダの法案C-22に対する立場を表明し、ニュース出版社へのリンク表示に対価を求める枠組みは持続不可能だと主張した。同社は以前のC-18と同様、Facebookおよびinstagramでカナダのニュースコンテンツの提供を停止する可能性を示唆している。 Meta has published its position on Canada's Bill C-22, arguing that legislation forcing platforms to pay publishers for news links is unworkable and signaling it may again block news content on Facebook and Instagram in Canada, as it did under the earlier Bill C-18. [meta-newsroom]
  5. 05 tech-news OpenAIの未来巡るMuskとAltmanの法廷闘争、最新動向 Live updates from Elon Musk and Sam Altman’s court battle over the future of OpenAI Elon MuskがSam AltmanとOpenAIを相手取り起こした訴訟の公判が開始された。非営利組織として設立されたOpenAIの営利化を巡る対立が焦点で、AI業界の方向性を左右する重要な裁判として注目されている。 Live coverage of the courtroom showdown between Elon Musk and Sam Altman over OpenAI's transition from nonprofit to for-profit structure, a case that could shape the future of the AI industry. [the-verge]
  6. 06 research Are Flat Minima an Illusion? Are Flat Minima an Illusion? arXiv:2605.05209v1 Announce Type: new Abstract: Neural networks that land in flat regions of the loss landscape tend to generalise better than those in sharp regions. Sharpness-Aware Minimisation expl [arxiv-cs-lg]
  7. 07 research Nationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models Nationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models arXiv:2605.05213v1 Announce Type: new Abstract: Chronic rhinosinusitis (CRS) is a common heterogeneous inflammatory disorder that causes substantial morbidity and healthcare costs. CRS is difficult to [arxiv-cs-lg]
  8. 08 research SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees arXiv:2605.05216v1 Announce Type: new Abstract: Large language models (LLMs) with a large number of parameters achieve strong performance but are often prohibitively expensive to deploy. Recent work e [arxiv-cs-lg]
  9. 09 research Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning arXiv:2605.05217v1 Announce Type: new Abstract: We propose a self-supervised physics-informed neural network (PINN) framework that adaptively balances physics-based and data-driven supervision for sci [arxiv-cs-lg]
  10. 10 research Horizon-Constrained Rashomon Sets for Chaotic Forecasting Horizon-Constrained Rashomon Sets for Chaotic Forecasting arXiv:2605.05218v1 Announce Type: new Abstract: Predictive multiplicity and chaotic dynamics represent two fundamental challenges in machine learning that have evolved independently despite their conc [arxiv-cs-lg]
🔥 Today's Top 3 importance × recency
  1. Building with Gemini Embedding 2: Agentic multimodal RAG and beyond Building with Gemini Embedding 2: Agentic multimodal RAG and beyond google-developers 45m ago
  2. Get ready for Google I/O: Livestream schedule revealed Get ready for Google I/O: Livestream schedule revealed google-developers 45m ago
  3. Ollama Releases v0.30.0-rc7 Ollama Releases v0.30.0-rc7 ollama-releases 7h ago

Timeline 145 total · page 1/5

TODAY 30 entries
NEW blog mcp 5h ago · qiita-mcp

Claude Agent SDK と MCP server で業務自動化、半年間の実装メモ A six-month personal implementation log of automating the author's own work using Claude A…

AI要約 筆者が Claude Agent SDK と MCP server を組み合わせ、自身の業務を半年かけて自動化した実装記録。エージェント設計や MCP サーバの構築過程、運用上の知見をまとめた個人的なノートとなっている。

EN A six-month personal implementation log of automating the author's own work using Claude Agent SDK combined with MCP servers, covering agent design, MCP server construction, and operational lessons learned.

qiita.com
Claude Agent SDK + MCP server で自分の業務を自動化した、半年の実装メモ og
NEW paper research 5h ago · arxiv-cs-lg

SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees

EN arXiv:2605.05216v1 Announce Type: new Abstract: Large language models (LLMs) with a large number of parameters achieve strong performance but are often prohibitively expensive to deploy. Recent work e

arxiv.org
SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees og
NEW paper research 5h ago · arxiv-cs-lg

Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery

EN arXiv:2605.05221v1 Announce Type: new Abstract: Classical representation systems such as Fourier series, wavelets, and fixed dictionaries provide analytically tractable basis expansions, but they are

arxiv.org
Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery og
NEW paper research 5h ago · arxiv-cs-lg

Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning

EN arXiv:2605.05226v1 Announce Type: new Abstract: The central challenge of reinforcement learning for reasoning lies not only in the sparsity of outcome-level supervision, but more fundamentally in how

arxiv.org
Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning og
NEW paper research 5h ago · arxiv-cs-lg

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods

EN arXiv:2605.05227v1 Announce Type: new Abstract: Data curation is a critical yet under-explored area in large language model (LLM) training. Existing methods, such as data selection and mixing, operate

arxiv.org
NEW release local-llm 6h ago · ollama-releases

Ollama v0.23.2 リリース、ローカルLLM実行環境の小幅アップデート Ollama Releases v0.23.2

AI要約 ローカルLLM実行ツールOllamaがv0.23.2をリリースした。マイナーバージョンアップに位置付けられ、バグ修正や安定性改善が中心と見られる。直近の0.23系で進む新モデル対応やパフォーマンス最適化の流れの一部と位置付けられる。

EN Ollama has published v0.23.2, a minor point release of its popular local LLM runtime. The update appears to focus on bug fixes and stability improvements, continuing the 0.23.x line that has gradually expanded model support and runtime performance.

github.com
Ollama Releases v0.23.2 media
NEW release local-llm 10h ago · ollama-releases

Ollama、v0.30.0-rc6リリース候補版を公開 Ollama Releases v0.30.0-rc6

AI要約 ローカルLLM実行ツールのOllamaがv0.30.0のリリース候補版rc6を公開した。新メジャーバージョンに向けたバグ修正と安定化が中心と見られ、正式リリース前の最終調整段階にある。

EN Ollama has published v0.30.0-rc6, a release candidate for its upcoming v0.30.0 milestone. The build appears focused on stabilization and bug fixes ahead of the general release of the local LLM runtime.

github.com
Ollama Releases v0.30.0-rc6 media
NEW blog tech-news 10h ago · meta-newsroom

Metaがカナダのオンラインニュース法案C-22に反対表明 Meta’s Position on Canada’s Bill C-22

AI要約 Metaはカナダの法案C-22に対する立場を表明し、ニュース出版社へのリンク表示に対価を求める枠組みは持続不可能だと主張した。同社は以前のC-18と同様、Facebookおよびinstagramでカナダのニュースコンテンツの提供を停止する可能性を示唆している。

EN Meta has published its position on Canada's Bill C-22, arguing that legislation forcing platforms to pay publishers for news links is unworkable and signaling it may again block news content on Facebook and Instagram in Canada, as it did under the earlier Bill C-18.

about.fb.com
Meta’s Position on Canada’s Bill C-22 og
NEW blog research 13h ago · simonw-blog

llm-gemini 0.31 llm-gemini 0.31

EN Release: llm-gemini 0.31 gemini-3.1-flash-lite is no longer a preview . Here's my write-up of the Gemini 3.1 Flash-Lite Preview model back in March. I don't believe this new non-preview model has chan

simonwillison.net