Our last post on Kimi K2 dives into how the Moonshot team used reinforcement learning (RL) on qualitative tasks. If you haven’t already, check out the last two explorations:| Drew Breunig
The Moonshot AI team synthesized thousands of tools, agents, users, and sessions to build a library of training data.| Drew Breunig
Two weeks ago, Beijing-based Moonshot AI launched Kimi K2, an open source model that rivaled the coding capabilities of larger, closed models. It’s a really impressive model (though it’s coding capabilities have since been overshadowed by Qwen 3 Coder), especially since it’s cheaper to run than Claude 3.5 Haiku.| Drew Breunig
Main Highlights:In a $50 million round of fundraising, Gretel.ai, a platform that generates synthetic data while still preserving the privacy of its customers, has raised the second round of fun| Mobile App Development | Design | Marketing Magazine: Appedus
Explore how synthetic data is transforming market research, its benefits, practical applications, and potential limitations compared to traditional human-driven methods.| Forsta
A city tech project in Portland with the Sidewalk Labs spin-off leads to accusations, data disputes and “damaged trust.”| redtailmedia.org
By Dan Major-Smith Scientific best practice is moving towards increased openness, reproducibility and transparency, with data and analysis code increasingly being publicly available alongside published research. In conjunction with other changes to the traditional academic system – including pre-registration/Registered Reports, better research methods and statistics training, and altering the current academic incentive structures – these […]| Open Research at Bristol
As AI companies start running out of training data, many are looking into synthetic data — but it remains unclear whether it will work.| Futurism