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One thing I find interesting about reasoning models is that the hard question is often budget placement, not headline capability. Ring-2.6-1T is a trillion-parameter reasoning model for agent workflows with high and xhigh reasoning-effort modes. If an AI agent only gets a heavier reasoning pass in one place, I would put it before it takes an external action, after it updates state, or before it gives the final explanation to a user. Where would you spend that budget first? submitted by /u/babyb01 [link] [留言]

The popular fitness-tracking platform, Strava, is restricting access to its API as part of efforts to clamp down on AI scraping, as reported earlier by TechCrunch. Developers who want to build an app using Strava's data now need to pay for a flat $11.99 / month subscription. In an update on its developer hub, Strava […]

Things are bad out there. Despite 2026 shaping up to be a great year when it comes to actual games, it couldn't really be worse for the people that make them or the industry as a whole. Hardware prices keep going up, layoffs have shown no signs of stopping, and even big-budget titles backed by […]

BadHost is a high-severity authentication bypass vulnerability in the widely used Python web framework Starlette, with 325 million weekly downloads. The flaw allows attackers to use malformed HTTP Host headers to bypass path-based access controls and access sensitive AI agent infrastructure, among other systems. By Sergio De Simone

submitted by /u/vox [link] [留言]

Hey Reddit, I just published a study analyzing 25,500 LLM resume evaluations to measure hiring bias. By swapping minor identity and demographic variables on the exact same work history across 10 different models, an independent AI auditor flagged a staggering 45% bias rate driven by "silent bias." Instead of saying anything overtly offensive, models invent professional-sounding excuses to penalize candidates, like when a model dropped its score after I changed the university to MIT, suddenly claiming the candidate's experience wasn't relevant despite praising that exact same experience on the baseline resume. We also found a massive 6x difference in stability between systems, with Qwen and older Gemini models being highly volatile, while the Claude models, Mistral-Large, and Llama 4 proved to be the most stable and fair. Ultimately, AI screening tools are outputting highly subjective, unpredictable opinions driven by statistical noise rather than objective truth, making them a massive liability under regulations like the EU AI Act. You can read the full write-up and explore our interactive data app here: https://re-cinq.com/blog/ai-hiring-bias-25500-llm-evaluations submitted by /u/Signal_Rabbit_8303 [link] [留言]

submitted by /u/ThereWas [link] [留言]

Crescent Island is an air-cooled chip that uses LPDDR5 memory.

In the previous article, I spoke about the why and how to use a Markdown component in Astro . Here, we’re going to expand on that and help you use Markdown everywhere — regardless of the framework you use. So, … Astro Markdown Component Utility for Any Framework originally handwritten and published with love on CSS-Tricks . You should really get the newsletter as well.

Cold email infrastructure on autopilot without Gsuite Discussion | Link

Over the past several years, Microsoft has largely managed to withstand populist calls to break up Big Tech while peers faced sweeping lawsuits. But a probe by the Federal Trade Commission suggests that grace period could be nearing an end. Earlier this year, Bloomberg outlined the contents of civil investigative demands (CIDs) - similar to […]

I tested the top sleep wearables for every type of sleeper, including devices from Oura, Whoop, and Eight Sleep.

GitHub热门项目 | Orca is the next-gen IDE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop and mobile. | Stars: 3,880 | 616 stars this week | 语言: TypeScript

GitHub热门项目 | A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization. | Stars: 30,605 | 894 stars this week | 语言: TypeScript

GitHub热门项目 | Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server. | Stars: 3,594 | 1,451 stars this week | 语言: Python

GitHub热门项目 | The fastest and the most accurate file search toolkit for AI agents, Neovim, Rust, C, and NodeJS | Stars: 6,992 | 121 stars today | 语言: Rust

GitHub热门项目 | Empowering everyone to build reliable and efficient software. | Stars: 113,279 | 56 stars today | 语言: Rust

GitHub热门项目 | Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform — deploy anywhere, swap anything 🦀 | Stars: 31,680 | 30 stars today | 语言: Rust

GitHub热门项目 | Servo aims to empower developers with a lightweight, high-performance alternative for embedding web technologies in applications. | Stars: 36,887 | 15 stars today | 语言: Rust

GitHub热门项目 | The Fully Customizable Desktop Environment for Windows 10/11. | Stars: 16,942 | 12 stars today | 语言: Rust