Interview Reviews Frontier Post-Training Recipes
A new interview with Finbarr Timbers examines the methods used to refine frontier AI models after initial training.
Frontier models, research results, agents, and developer tooling.
A new interview with Finbarr Timbers examines the methods used to refine frontier AI models after initial training.
Google DeepMind is bringing fluid, natural voice translation to AI Studio, Google Translate, and Google Meet through Gemini 3.5 Live Translate.
Google DeepMind's DiffusionGemma promises fourfold faster text generation, potentially making large language models more practical for real-time use.
Google DeepMind proposes a layered security approach that pairs conventional safeguards with real-time monitoring to manage risks from increasingly autonomous AI agents.
OpenAI's new Deployment Simulation method uses real conversation data to forecast how models will behave in production before they are shipped.
Google Research describes an AI-driven approach that turns Earth observation imagery into practical plans for nature restoration.
Google Research proposes reusing old Android handsets as a low-carbon computing platform, cutting embodied emissions by extending device lifetimes.
Jack Clark's latest Import AI issue warns that alignment work is falling behind while spotlighting FrontierCode and synthetic research interns.
A new launch focuses on making resource discovery on the Hugging Face Hub agent-friendly.
A new essay argues that AI governance has crossed a point of no return, with policy unprepared for what comes next.
OpenAI details how Nextdoor engineers use Codex with GPT-5.5 to investigate elusive bugs, build across platforms, and stay product-focused.
A single Latent Space roundup tracks new US open-weight models, Gemini 4 Argon's wider rollout, and Anthropic's cheaper Haiku.
A new report from OpenAI reveals how PRC-linked actors are using AI to steer US tech debates, data center narratives, and tariff discussions.
A new OpenAI case study says LSEG is using the technology to accelerate insights, shorten release cycles, and reach 4,000 employees.
A new integration lets developers deploy AI models from the Hugging Face Hub directly onto physical robots using Strands Agents and LeRobot.
The company is positioning robotics as a major focus of its AI research, with Europe at the centre of the effort.
Hugging Face asks whether any alternative can outperform LoRA, the most popular parameter-efficient fine-tuning technique.
Nathan Lambert and Kevin Xu argue against restricting open source AI in an op-ed aimed at a general audience.