“The update eliminates the need for manual configuration in CLAUDE.md, reducing potential 'memory failure accidents.'”

“Experimental results underscore Axlerod's effectiveness, achieving an overall accuracy of 93.18% in policy retrieval tasks while reducing the average search time by 2.42 seconds.”

“Context Caching can slash input costs by up to 90%!”

“Amazon has struck a two-year deal to receive copper from an Arizona mine, for use in its AWS data centers in the U.S.”

“MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers move applications from prototype to production more quickly.”

“AI crosses the chasm”

“This, Claude Code で作ったスキルがそのまま VS Code Copilot で動きます.”

“By guiding LLMs with case-augmented reasoning instead of extensive code-like safety rules, we avoid rigid adherence to narrowly enumerated rules and enable broader adaptability.”

“Alibaba's approach leverages its unique 'model + ecosystem' vertical integration, which directly integrates with its internal ecosystem.”

“OpenAI launches a new RFP to strengthen the U.S. AI supply chain by accelerating domestic manufacturing, creating jobs, and scaling AI infrastructure.”

“OpenAI's Realtime API allows for 'real-time conversations with AI.' However, adjustments to VAD (voice activity detection) and interruptions can be concerning.”

“How do you design an LLM agent that decides for itself what to store in long term memory, what to keep in short term context and what to discard, without hand tuned heuristics or extra controllers?”

“The article's disclaimer clarifies that the content is based on personal experience and is not affiliated with any company. (Note: Since the original content is incomplete, this is a general statement based on the provided snippet.)”

“なぜ GitHub だけに依存しない構成を選んだのか どこを一次情報（正）として扱うことにしたのか その判断を、どう構造で支えることにしたのか”

“I built this as a personal open-source project to explore how EU AI Act requirements can be translated into concrete, inspectable technical checks.”

“"Physical AIのChatGPTモーメントが到来した"”

“Article URL: https://surgehq.ai/blog/lmarena-is-a-plague-on-ai”

“These findings suggest that simply watching AI reasoning is not enough to catch hidden influences.”

“Every act of language generation compresses a rich internal state into a single token sequence.”

“Compared to the current Blackwell architecture, Rubin offers 3.5 times faster training speed and reduces inference costs by a factor of 10.”

“the ik_llama.cpp project (a performance-optimized fork of llama.cpp) achieved a breakthrough in local LLM inference for multi-GPU configurations, delivering a massive performance leap — not just a marginal gain, but a 3x to 4x speed improvement.”

“Prompt caching is an optimization […]”

“あるプロジェクトで必要なMCPを設定したところ、内包されているものが多すぎてClaude Code立ち上げただけで223k(全体の112%)のトークンを占めていました😱”

“"A 50-message thread uses 5x more processing power than five 10-message chats because Claude re-reads the entire history every single time."”

“The best solution approach for a practical path-based model reduces the IP gap by an average of 26.5% and 22.5% for the two largest instance groups, compared to solving the reformulation alone.”

“Even the top-performing OpenAI-GPT-5.1 achieves only 62.07% accuracy, and model performance displays a clear gradient distribution.”

“OFL-SAM2 achieves state-of-the-art performance with limited training data.”

“The framework reduces runtime from 84 to 48 hr on the same CPU platform and to 7 hr on an NVIDIA A100 GPU, while producing results consistent with those from the original pipeline.”

“The proposed method applies SSL comprehensively for both the architecture search and model pretraining processes.”

“Xiu Yuliang shared the latest three works of the Yuanxi Lab, namely UP2You, ETCH, and Human3R.”

“FlowBlending achieves up to 1.65x faster inference with 57.35% fewer FLOPs, while maintaining the visual fidelity, temporal coherence, and semantic alignment of the large models.”

“VLA-RAIL significantly reduces motion jitter, enhances execution speed, and improves task success rates.”

“The proposed HOOA achieves significant improvements, which reduces average task completion delay by 2.5% and average energy consumption by 3.1% compared with the best-performing benchmark approach and state-of-the-art DRL algorithm, respectively.”

“The hand assembly with a distal mass of 236g demonstrated reliable execution of dexterous tasks, exceeding 18N fingertip force and lifting payloads over one hundred times its own mass.”

“DynaFix repairs 186 single-function bugs, a 10% improvement over state-of-the-art baselines, including 38 bugs previously unrepaired.”

“Preguss enables highly automated RTE-freeness verification for real-world programs with over a thousand LoC, with a reduction of 80.6%~88.9% human verification effort.”

“The paper derives a symmetry that relates expectation values of Pauli strings, allowing for the reduction in the number of measurements needed when simulating fermionic systems.”

“CREST improves accuracy by up to 17.5% while reducing token usage by 37.6%, offering a simple and effective pathway to faster, more reliable LLM reasoning.”

“Late time levels are enhanced for the coated particles, implying a reduced effective interfacial diffusivity and a broadened release-time distribution.”

“DISF reduces CoM misalignment while maintaining geometric compatibility, translating into higher grasp success in both simulation and real-world execution compared to baselines.”

“BF-APNN substantially reduces training time compared to RT-APNN while preserving high solution accuracy.”

“Unifico reduces binary size overhead from ~200% to ~10%, whilst eliminating the stack transformation overhead during ISA migration.”

“The paper finds that uncoalesced small-buffer operations significantly reduce throughput, while file system-aware aggregation restores bandwidth and reduces metadata overhead. Their approach achieves up to 3.9x and 7.6x higher write throughput compared to existing LLM checkpointing engines.”

“Analyzing 1.4 million customer transactions across seven markets, our approach reduces false positive and false negative rates to 4.64% and 11.07%, substantially outperforming single-institution models. The framework prevents 79.25% of potential losses versus 49.41% under fixed-rule policies.”

“RedunCut reduces compute cost by 14-62% at fixed accuracy and remains robust to limited historical data and to drift.”

“DATAMASK achieves significant improvements of 3.2% on a 1.5B dense model and 1.9% on a 7B MoE model.”

“The modular reduction allows us to exploit any SLC sampling algorithm in order to traverse the backwards path, and we establish novel guarantees with short proofs for both uni-modal and multi-modal densities.”

“OptRot outperforms both Hadamard rotations and more expensive, data-dependent methods like SpinQuant and OSTQuant for weight quantization.”

“The method produces higher-quality images at novel extrapolated viewpoints compared with baselines.”

“HERO Sign achieves throughput improvements of 1.28-3.13, 1.28-2.92, and 1.24-2.60 under the SPHINCS+ 128f, 192f, and 256f parameter sets on RTX 4090.”