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Aaron Levie:There’s still so much opportunity

Aaron Levie 分享了关于Agent 实践的观察:There’s still so much opportunity in the diffusion of AI into the real world. Most enterprises are going to need a ton of support to be able to apply the model breakthroughs to their workflows. Intelligence alone is not...

来源:Follow Builders· 07/27·原文

Madhu Guru:When people say AI hasn’t led to s

Madhu Guru 分享了关于AI 产品与工程观察的观察:When people say AI hasn’t led to shipped impact in products, here’s the piece they are missing. This is phase 1. Companies with distribution are rapidly expanding to adjacent problem areas - AI helps them execute fast an...

来源:Follow Builders· 07/27·原文

Dan Shipper:i am taking the week off to write

Dan Shipper 分享了关于AI 编程工作流的观察:i am taking the week off to write the definitive history of how codex happened (as told by deep interviews with insiders @openai) publishing on @every in a few weeks i will be dropping breadcrumbs and learnings as i go :...

来源:Follow Builders· 07/27·原文

VentureBeat Research: Where enterprise AI agent governance hasn't caught up

Enterprises deployed AI agents ahead of the controls needed to manage them — and they did it knowingly. That is the central finding across the five parallel surveys VentureBeat Research fielded in June, spanning every layer of the agentic stack. Now those enterprises are retrofitting to catch up with their own standards, and they are budgeting for it: In each of the five control layers we measured, 57 to 68% of enterprises plan to switch vendors or add new ones within 12 months, and roughly a t...

来源:VentureBeat AI· 07/27·原文

Anthropic launches Claude Opus 5, a cheaper AI model for coding, agents and enterprise workflows

Anthropic released Claude Opus 5 on Friday, a model the company says delivers nearly all the intelligence of its top-of-the-line Claude Fable 5 at half the cost — a launch that signals how the AI race is shifting from raw capability to the economics of daily use. The model, available immediately on all of Anthropic's platforms, is priced at $5 per million input tokens and $25 per million output tokens, unchanged from its predecessor, Opus 4.8 . It becomes the new default model on Claude Ma...

来源:VentureBeat AI· 07/27·原文

老黄「开源协议」就剩一家没签,是谁啊好难猜啊

Denny’s和英伟达,有一项核心业务高度重叠

来源:量子位· 07/27·原文

3万小时触觉数据补齐具身智能“手感”!新智具身&复旦报告三连发

项目数据模型均开源

来源:量子位· 07/27·原文

The US is charging an American citizen for wiping his phone at the border

The government is prosecuting US citizen Sam Tunick for allegedly providing authorities with a "duress password" that wiped his phone when they tried to seize it at Atlanta's Hartsfield-Jackson airport on January 24th, 2025. Federal agents detained Tunick at the airport, allegedly questioning him about child exploitation images. However, a motion filed by Tunick's lawyers […]

来源:The Verge AI· 07/27·原文

I built an open-source multi-agent SDLC harness that beats a cold Claude Code run on large repos, by learning the repo once. Real benchmarks (incl. where it loses) inside. [P]

Built an open-source AI coding agent that was 7%–75% cheaper than a cold "claude -p" run on 6/6 well-localized tasks across repositories up to ~82k LOC. The biggest difference: Cold agent: $6.83, 207 turns AutoDev Studio: ~$1.70 for the same bug The full benchmark (including cases where it loses) is in the README. So what's different? Most AI coding agents re-explore a repository from scratch on every task just to figure out where the change belongs. AutoDev Studio pays that local...

来源:Reddit Machine Learning· 07/27·原文

Open-weight 4B models approach o3-level medical question answering in Swedish [P]

I have been running some experiments with smaller open-weight LLMs on multiple-choice questions of Swedish medical licensing exams. On a dataset called MedQA-SWE, GPT-4 scored 84% accuracy in 2024 and o3 scored 88% in 2025 on a smaller, overlapping dataset. With post-training (SFT) on data from earlier years, I got MedGemma-1.5-4B to a passing score of 60% on the final year’s exam. Find the implementation here: But even though they were relea...

来源:Reddit Machine Learning· 07/27·原文

I want to use AI coding agents for machine learning projects [D]

I'm a software engineer who mainly builds softwaes/applications, and I'm starting to work on machine learning projects. Since ML workloads often require GPUs, I know services like Google Colab and Kaggle exist. but, I'm looking for something a bit different. Is there a platform where I can use AI coding agents (such as Codex, Claude Code, or OpenCode) while running the actual ML code on a cloud GPU? Ideally, I'd like to: Work locally with my preferred editor and AI coding agent....

来源:Reddit Machine Learning· 07/27·原文

Europe got its own TBPN-style live show, and everyone’s angling for a guest spot

On Monday, the network announced a $1.6 million seed round from top players in the media ecosystem, including Powerhouse Capital, Axel Springer SE (which owns Business Insider and Politico), the popular media publication LadBible, and angel investors from OpenAI and DeepMind. With this fresh capital, the network is announcing its largest expansion yet.

来源:TechCrunch AI· 07/27·原文