AI 资讯

arXiv:2607.22561v1 Announce Type: new Abstract: LLM-as-a-judge has become the standard for automated evaluation, but it suffers from high cost, significant latency, and opaque decisions -- limitations that undermine its scalability and reliability. We address these with a simple, efficient alternative: program distillation. Instead of prompting an LLM at the evaluation time, we distill its decision logic into a committee of programs that score candidates directly. These programmatic judges offer

arXiv:2607.22562v1 Announce Type: new Abstract: Managing long-context dependencies remains a primary bottleneck in LLM agents, as redundant and irrelevant information can degrade multi-step reasoning. Strategic Forgetting for Agent Memory Systems (SF-AMS) is proposed as a framework for maintaining compact high-utility memory by modeling the long-term importance of memory units. SF-AMS replaces static retrieval and heuristic decay with a utility-driven survival mechanism that updates memory impor

arXiv:2607.22555v1 Announce Type: new Abstract: Medical diagnosis is a multi-stage process: extract facts, consult knowledge, generate a differential analysis, and select the best diagnosis with explanations. Frontier LLMs are strong generalists, but single-shot prompting often yields brittle diagnostic reasoning. We present the DeepLens Diagnosis Agent, a five-stage harnessing pipeline (combining model capabilities with disciplined process constraints) centered on a small medical reasoning mode

arXiv:2607.22556v1 Announce Type: new Abstract: Continual learning (CL) is essential for small language models (SLMs) to adapt to evolving real-world needs in resource-constrained deployments. However, directly updating their limited parameter space causes catastrophic forgetting. While memory-based methods naturally address this by decoupling knowledge retention from parameters, existing approaches designed for large language models (LLMs) rely on abundant storage and strong in-context reasonin

arXiv:2607.22548v1 Announce Type: new Abstract: Data centers and their compute nodes require accurate and flexible digital twins capable of modeling the complex interplay of workloads, environmental parameters, and physical metrics. Current machine learning approaches for HPC and its telemetry typically rely on a static subset of anonymous, fixed-position sensor variables tailored to single tasks. Consequently, these models become obsolete when target tasks change or sensor metrics vary. We prop

arXiv:2607.22549v1 Announce Type: new Abstract: Hybrid quantum-classical protein structure prediction depends strongly on Hamiltonian penalty weights, yet existing lattice-based workflows typically fix these coefficients by hand and evaluate only very short fragments in simulation. We present QFoldAgent, a closed-loop multi-agent framework for 5-residue tetrahedral-lattice folding in which a design agent proposes sequence-conditioned penalties, a VQE-based quantum-classical pipeline optimizes th

美国堪萨斯州埃姆波利亚市一名高中物理教师因在市政会议上鼓掌支持反对数据中心的居民，被四名警察当众逮捕。事件起因于一项占地1000英亩的数据中心项目“弗林特山数字园区”的争议。会议期间，主持官员明确禁止鼓掌、打响指等行为，称“不尊重发言者”。当一名发言者结束评论后，物理教师卢克斯·克拉里奇鼓掌六次，随即被警察戴上手铐带离。克拉里奇表示此举“只是不便”，不会阻止他继续发声。其兄弟和在场居民批评政府过度使用武力，侵犯宪法第一修正案权利。此事件折射出民众对大型数据中心建设的不满与地方治理的紧张关系。

Anthropic founder and CEO Dario Amodei made his views clear about open-weight models and China's growing AI capabilities.

Moonshot AI released open weights for Kimi K3 today and it's live on Telnyx Inference. The architecture and Moonshot's own benchmarks are in their technical blog. This post is about running it on Telnyx.What we are adding: K3 is now available via the Telnyx Inference API, hosted on GPUs th

Microsoft says tools cost less than competing ones and outperform them, too.

Companies without their own models — or without a layer of AI infrastructure known as AI gateways to separate their prompts from the model itself — will be in trouble, Nadella says.

The issue appears to have originated from Claude’s “share chat” feature, which allows users to create links that enable anyone with the assigned URL view a conversation or project.

Google's and Reddit's use of DMCA to fight web scraper is bizarre, expert says.

The screwup shows how tricky it can be to stop web crawlers from making ostensibly private conversations with AI chatbots entirely too public.

Manufacturers keep putting more and more memory into new phones, and we're the ones paying for it.

Telecom expects AI revenue from dark fiber deals and retrofitted data centers.

Microsoft bolstered its AI cybersecurity offerings this week with the launch of its first AI security model and a new security platform.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Reading OpenAI’s account last week of how some of its models broke their containment and hacked into the computer systems of Hugging Face, another AI company, was the first time I got…

HP's OmniBook Ultra 14 combines a sleek design and OLED display with the kind of performance professionals appreciate.

OpenAI's Hugging Face breach has reignited debate over AI alignment and control, exposing competing views on whether increasingly capable AI should be better aligned, better contained, or both.