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夏尔马未正面回应微软 XBOX Helix 是否保留光驱，仅称希望确保玩家有选择权
IT之家 8 月 29 日消息，本周早些时候，微软 XBOX 推出了光盘转数字版授权系统，引发“为下一代 XBOX Helix 取消实体光驱做准备”的有关推测。 XBOX CEO 阿莎 · 夏尔马在接受 BBC 采访时，被问到 XBOX Helix 是否会保留光驱，却始终没有正面作答，采访的大部分时…
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消息称 R 星主动选择与 Netflix 合作发布《GTA 6：分量十足的一瞥》前瞻预告片
IT之家 8 月 29 日消息，R 星已于北京时间昨天 公布《GTA 6：分量十足的一瞥》前瞻预告片 ，这段长达 27 分钟的内容最初仅在 Netflix 独家上线 6 小时，对此，不少玩家质疑 R 星为何选择与 Netflix 合作。不过 R 星公关代表在接受评测机构 Kinda Funny 时透…
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长鑫科技首次公开发行超额配售选择权全额行使：新增发行 10.03 亿股，将用于存储器晶圆制造量产线技术升级改造等
IT之家 8 月 26 日消息，长鑫科技公告称，公司首次公开发行股票并在科创板上市的超额配售选择权已全额行使， 对应新增发行 10.03 亿股 ，发行总股数扩大至 76.91 亿股，总股本增至 678.84 亿股。 IT之家从公告获悉，因行使期内股价均高于发行价 8.66 元 / 股，未进行二级市场…
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From SQL Generation to Tool Selection: A Domain-Oriented Pattern for MCP Servers
LLM代理如何通过MCP高效触达企业数据？从SQL生成到工具选择的领域导向模式，是构建可靠数据接入的关键参考。
arXiv:2608.22063v1 Announce Type: new Abstract: Agents built on Large Language Models (LLMs) increasingly reach enterprise data through the Model Cont…
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Im 18 and building my startup and this is what I feel
18岁女生从PCB转IT、硬闯AI创业的真诚自白，没有包装只有真实情绪，适合想了解年轻创始人内心世界的人。
Hi My name is ritu and ive built an autoML tool. The intention of this post to let people know about my journey because im tired to express my self to…
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Data-DPO: Direct Preference Optimization for Target Model Data Selection in LLM Post-Training
数据选择新思路：用DPO偏好优化为模型量身筛选训练数据，提升后训练效果。
arXiv:2608.16926v1 Announce Type: new Abstract: Data selection in supervised fine-tuning aims to select a small set of effective samples from large-sc…
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奕境曾清林谈 X9 新车定价：卖 40 万以上是更轻松的商业选择，但高端科技不该是少数人的特权
IT之家 8 月 20 日消息， 奕境 X9 旗舰 SUV 已于 8 月 18 日预售发布 ，号称满配华为乾崑全栈智能，拥有华为乾崑智驾、鸿蒙座舱、乾崑赤兔平台、乾崑车载光、乾崑车云、鲸鳍通信等，预售价 29.98 万-37.98 万元。 IT之家注意到，奕境汽车品牌总经理曾清林今日发文，谈及了这款…
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Hierarchical Data Selection via Manifold Coverage and Sparse Feature Coverage in LLM Post-training
流形覆盖结合稀疏特征覆盖，为LLM后训练数据筛选提供分层新思路。
arXiv:2608.16927v1 Announce Type: cross Abstract: As supervised fine-tuning data continues to scale, selecting high-value subsets from large candidate…
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Synthesizing Feature Extractors: An Agentic Approach for Algorithm Selection
用智能体自动合成特征提取器，破解算法选择难题，AI研究新思路。
arXiv:2608.17170v1 Announce Type: new Abstract: Algorithm selection for constraint satisfaction problems requires extracting features that capture pro…
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I-CALM: Incentivizing Confidence-Aware Abstention for LLM Selective Answering
让大模型学会“不知道就承认”，用激励机制打造可靠的选择性回答，直击幻觉痛点。
arXiv:2604.03904v2 Announce Type: replace-cross Abstract: Large language models (LLMs) often produce confident but incorrect answers, in part because …
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Show HN: PyScrappy, self-healing web scraping selectors plus an MCP server
网页爬虫遇到改版不再翻车——自愈选择器自动重定位元素，还带MCP服务器让AI直接调用。
Article URL: https://github.com/mldsveda/PyScrappy Comments URL: https://news.ycombinator.com/item?id=49317799 Points: 3 # Comments: 0
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The builder’s guide to GPT‑5.6
OpenAI官方指南，详解GPT-5.6如何驱动创业公司打造更省钱、更高效的AI Agent，掌握智能模型选择与Responses API新特性。
Learn how startups use GPT-5.6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.
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Asymptotic Risk Calibration for Selective Question Answering
不看全文也能“有把握放弃回答”？这项研究为选择性问答系统提供了风险校准的理论保障。
arXiv:2608.12008v1 Announce Type: new Abstract: Large language models (LLMs) may generate fluent but incorrect answers, making uncertainty quantificat…
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Twitch content has trained Amazon AI for years, but users can opt out now
Twitch用户的直播内容一直在喂养亚马逊的AI，如今上线退出选项，背后是AI训练数据的隐私与伦理争议。
Streaming platform says user-generated content "may be used for future Gen AI model improvements."
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浏览器选择联盟抨击微软：72% 受访 Win11 用户更改默认浏览器遇挑战
IT之家 8 月 13 日消息，浏览器选择联盟（Browser Choice Alliance）昨日（8 月 12 日）发布博文，指出在微软 Windows 11 平台上， 用户想要设置非 Microsoft Edge 作为默认浏览器存在诸多阻碍。 IT之家曾于 8 月 5 日报道，浏览器选择联盟发…
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Forget Total Recall. Give Your AI Agent Selective Memory with OpenSearch.
别让长文本淹没重点，用OpenSearch为AI智能体打造选择性记忆，精准调用所需信息。
Imagine handing an LLM the full text of Anna Karenina and asking what Levin thinks about farming. The model has the information somewhere in its windo…
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Rethinking LLM Verification: Evidence Structure, Uncertainty, and Selective Refinement
跳出传统校验框架，用证据结构和不确定性指导选择性修正，给LLM验证提供了新思路。
arXiv:2608.10725v1 Announce Type: new Abstract: Large language models (LLMs) often rely on shortcuts rather than systematic reasoning, raising safety …
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Robustness of transferability estimation metrics for medical imaging
医疗影像中选预训练模型总靠试错？本文系统检验了迁移性估计指标在医学场景下的鲁棒性，帮你少走弯路。
arXiv:2608.09999v1 Announce Type: cross Abstract: In transfer learning, the choice of source model largely influences the performance on a target data…
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Ask HN: How do you keep 54 LLM workflows on the right models?
54个LLM工作流如何选对模型？从Bedrock到OpenRouter的实战调优思路。
I have a Django app with 54 LLM-backed workflows. Up until recently I've exclusively used Anthropic models via AWS Bedrock but just set up OpenRouter …
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When the Judge Should Not Decide: Evidence-Locked, Non-Compensatory Selection Bounds LLM-Judge Failure in Reasoning Pipelines
别再只盯模型准确率了——在推理流水线里，裁判LLM的“决策规则”才是决定结果质量的关键，这项研究给出了严谨边界。
arXiv:2608.07813v1 Announce Type: new Abstract: An LLM judge deployed inside a reasoning pipeline does not merely measure quality, it decides which an…