







Guilded AI aligns the incentives of AI developers and human experts who produce training data and evaluations.
Fairly Trained
Fairly Trained is a non-profit that certifies AI companies for fairer training data sourcing.

'AI Is African Intelligence': The Workers Who Train AI Are Fighting Back
Kenyan workers are still the underpaid labor behind AI training, moderation, and sex chatbots. The Data Labelers Association is fighting back.

Navigators-Guild/apprentice-onboarding
Onboarding for those seeking to learn agentic AI tooling.
More Versus Better: Artificial Intelligence, Incentives, and the Emerging Crisis in Peer Review | Organization Science
As the AI Task Force for Organization Science, we provide an early account of artificial intelligence’s (AI) impact on both submissions and reviews at a major academic journal. Submission volume ha...

Bosses Are Blowing More Money on AI Agents Than It'd Cost Them to Just Pay Human Workers
Some organizings are finding themselves spending more on AI token fees than they do paying human salaries.

Paid Program: Why More Women Are Needed in AI
When the world of AI isn’t inclusive, it creates biases in what the data shows and how it’s used.

AI, Human Cognition and Knowledge Collapse
We study how generative AI, and in particular agentic AI, shapes human learning incentives and the long-run evolution of society’s information ecosystem. We bui
AI, Human Cognition and Knowledge Collapse
We study how generative AI, and in particular agentic AI, shapes human learning incentives and the long-run evolution of society’s information ecosystem. We bui
Firms like Meta and A16z admit having to pay billions for training data would ruin their generative-AI plans as they fight new copyright rules
Meta, Google, Microsoft, and Andreessen Horowitz are trying to keep AI developers from having to pay for copyrighted material used in AI training.
The Applied Machine Learning Collective of the Rockies
We're building a hands-on, community-led space where AI/ML practitioners actually grow together. A modern guild where newcomers learn from journeymen, journeymen sharpen their skills alongside experts, and everyone works on real problems that matter.
Does AI Actually Boost Developer Productivity? (100k Devs Study) - Yegor Denisov-Blanch, Stanford
AI systems out-persuade expert humans
Many societal decisions are settled by contests of persuasion. Conversational AI is a powerful new entrant in these contests, but whether it can out-persuade skilled and highly incentivized humans has remained unclear. Here, in a series of four preregistered experiments (n = 18,978 conversations from 6,923 people), we pitted AI systems against a range of human persuaders, including laypeople, winners of a separately preregistered four-round online persuasion tournament, professional canvassers, and world championship debaters. We found that AI systems were reliably more persuasive than expert humans, even when expert humans chose their issues, researched in advance, underwent hours of live, structured practice, and were incentivized with £1,000 cash bonuses. In a follow-up study, AI's advantage persisted after experts received a coaching tool that let them practice against the AI that beat them, review their performance history, and see what AI would have said at key moments. We found converging evidence that AI's advantage stemmed from rapidly deploying larger quantities of information: after coaching, expert humans could tie an AI constrained to respond at human speeds and with human-length messages. In a final study, we show that AI's advantage extends to consequential real-world behavior: AI was nearly 3x more effective than professional canvassers from a UK fundraising firm at raising real-money donations to Save the Children. Together, these results establish that frontier AI systems out-persuade expert humans in conversation, with significant implications for political communication.

UN Global Communications Chief urges AI developers to ‘Put people before profit’
The emerging skillset of wielding coding agents — Beyang Liu, Sourcegraph / Amp
Haotian AI : Providing Deepfake AI For Scam Bosses - Frank on Fraud
An advertisement for Haotian AI, a company that provides face-changing software on Telegram, shows they mean business. “We have an R&D team of hundreds of programmers and dozens of servers to serve you.” The braggy advertisement, which just might be directed at Pig Butchering bosses running scam compounds in Southeast Asia, reveals the extent of […]

Economic incentives is a big problem with AI in open-source spaces. Finding is unevenly allocated, and AI leads to further disparity. Instead of spreading money around the dev community, it'll go to AI companies. Open source thrives on humans. We don't need rockstars, we need resources.
Lucca @ Northsky 💚💜
they should be giving out more of that to the community as grants and focusing on protocol governance and standards and bringing new people into atproto.