Visual Studio Code. Contribute to microsoft/vscode development by creating an account on GitHub.

Chinese AI lab DeepSeek’s last model release was V3.2 (and V3.2 Speciale) last December. They just dropped the first of their hotly anticipated V4 series in the shape of two …

A proposed standard environment variable for opting out of telemetry, analytics, and tracking in CLI and TUI applications.

Inline PDF viewer powered by pdf.js, GTK4 frontend, browsing history, speculative HTML parsing, off-thread JS compilation, async DNS, CSS anchor positioning, and more.

An interactive photo timeline of NASA

As artificial intelligence (AI) tools become widely adopted, large language models (LLMs) are increasingly involved on both sides of decision-making processes, ranging from hiring to content moderation. This dual adoption raises a critical question: do LLMs systematically favor content that resembles their own outputs? Prior research in computer science has identified self-preference bias -- the tendency of LLMs to favor their own generated content -- but its real-world implications have not been empirically evaluated. We focus on the hiring context, where job applicants often rely on LLMs to refine resumes, while employers deploy them to screen those same resumes. Using a large-scale controlled resume correspondence experiment, we find that LLMs consistently prefer resumes generated by themselves over those written by humans or produced by alternative models, even when content quality is controlled. The bias against human-written resumes is particularly substantial, with self-preference bias ranging from 67% to 82% across major commercial and open-source models. To assess labor market impact, we simulate realistic hiring pipelines across 24 occupations. These simulations show that candidates using the same LLM as the evaluator are 23% to 60% more likely to be shortlisted than equally qualified applicants submitting human-written resumes, with the largest disadvantages observed in business-related fields such as sales and accounting. We further demonstrate that this bias can be reduced by more than 50% through simple interventions targeting LLMs' self-recognition capabilities. These findings highlight an emerging but previously overlooked risk in AI-assisted decision making and call for expanded frameworks of AI fairness that address not only demographic-based disparities, but also biases in AI-AI interactions.

Under the new rules, police will be able to issue tickets directly to the car's manufacturer when an autonomous vehicle breaks a traffic law.

Fat is a very valuable food component, packed with calories, especially important when other resources might be scarce. Our earliest ancestors in Africa already cracked open bones to extract the fatty marrow from bone cavities. But now a new study published in Science Advances demonstrates that our…

Latest Geekbench performance figures for macOS VMs, and testing of how few cores and how little memory is really needed: could you run a macOS VM usefully on a MacBook Neo?

Roblox is facing over 140 federal lawsuits accusing it of failing to prevent child exploitation, and last month settled with Alabama and West Virginia.

As global battery demand continues to surge, the number of end-of-life batteries from electric vehicles alone is expected to grow from 1.2 million in 2030 to 14 million by 2040. Battery circularity technologies enable the reuse and recycling of these batteries and, as with battery technologies more generally, Asia currently leads the way. At the same time, there has been significant growth in European innovations.

🎨 Local-first, open-source alternative to Anthropic's Claude Design. ⚡ 19 Skills · ✨ 71 brand-grade Design Systems 🖼 Generate web · desktop · mobile prototypes · slides · images · videos · Hype...

Parallel evolution.

Barman - Backup and Recovery Manager for PostgreSQL - EnterpriseDB/barman

LLM model popularity from Hacker News: how we detect models from the OpenRouter catalog and score sentiment from discussions.

Contribute to dotcl/dotcl development by creating an account on GitHub.

Two architectures for running agent harnesses, the tradeoffs between them, and how we make skills and memories work when the harness isn't local.

I write this from the latest MacBook Pro. I've been running this as my primary machine for almost a month. When I'm not grinding out the latest soon-to-be-relea

5 projects are awarded a total of $31K

Praveen Neppalli Naga, Uber's chief technology officer, revealed the plan in an interview at TechCrunch's StrictlyVC event in San Francisco on Thursday night, describing it as a natural extension of a nascent program the company announced in late January called AV Labs.