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Brad Lightcap, OpenAI's chief operating officer, is leaving to start a new venture. There are scant details about what this may involve, but Lightcap has hinted that it involves advancing OpenAI's mission from a different vantage point. OpenAI has been undergoing a shakeup of its top-level executives as it prepares for its IPO. Fidji Simo, Bill Peebles, and Kevin Weil have also recently left the firm.

Google said the Gemini app surpassed 1 billion monthly active users, becoming its 14th product to reach the milestone. The company also reported heavy voice usage, more than 150 million images generated daily, and over 100 million active Gemini users on iOS.

Nvidia has announced Nemotron 3.5 Lightning, a 30-billion-parameter open mixture-of-experts model built for high-volume, specialized agent tasks, and NeMo Switchyard, an open-source library that routes each step of an agent workflow to whichever model fits it best. Lightning delivers up to 4x faster output than comparable models in its class. It can complete agentic tasks roughly 30% faster than Qwen3.6-35B at matching accuracy. Paired with Switchyard, the model retains frontier-level task completion ability while costing roughly a third of running Opus 4.8 alone.

Cursor seems to be preparing to launch Origin beyond the closed partner beta under the name 'Cursor Review'. Cursor Review will enable two new tabs: Codebase covers syncing and managing repositories pulled in from GitHub, and Review contains an automated pull request pipeline that notifies developers when their judgment is needed, allowing humans and agents to work through open PRs across a codebase together. The rollout could land as early as this week.

An AI system that can do every remote job will also be able to operate a robot. A system that can master real-time control, spatial reasoning, physical prediction, and continual learning will have what it needs to operate machinery if given actuators to work with. Hardware is not the bottleneck for robotic automation. Once robots can replace human labor, the economy will no longer be bound by a fixed workforce.

This post contains a transcript of an interview with Ryan Greenblatt, the chief scientist at Redwood Research, where he focuses on technical AI safety and security work. The interview covers the topic of recursive self-improvement (RSI), one of the most debated in the world of AI right now. One possible outcome of achieving RSI is that the world quickly slingshots towards having tens of billions of superintelligences, each of which is dramatically more competent than human experts across all fields. Greenblatt believes this scenario is possible, and he predicts that humans will automate AI R&D by 2031.

AI forecasting fails when capability gains are mistaken for end-to-end impact, because real-world workflows contain social, institutional, physical, and tacit bottlenecks. Better forecasts require practitioner-informed, cross-framework research that measures whether AI actually changes the limiting step, not just one task.

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NVIDIA's WorldTrace is a training-free framework that keeps compressed memories accessible during long autoregressive video rollouts by assigning them stable, in-distribution positional offsets.

MAI-Code-1.1-Flash produces higher quality code at 25% greater token efficiency and at a quarter of the cost compared to the previous model launched in June. This was achieved by optimizing for real-world use across hundreds of thousands of reinforcement-learning environments in GitHub Copilot. MAI-Code-1.1-Flash shows a 22% improvement on Terminal-Bench 2.1 in GitHub Copilot CLI and a 15% improvement on .NET tasks. It is now available in GitHub Copilot.

NVIDIA introduced Nemotron 3.5 Lightning, an open 30B mixture-of-experts model with 3B active parameters designed for low-latency, high-volume tasks inside long-running AI agents.

Proprietary reasoning can be recovered from its encrypted traces. Anthropic, OpenAI, and Google return encrypted chain-of-thought blocks to clients that can be replayed across sessions, users, and models. Researchers took a trace produced by a frontier model, replayed it into a weaker sibling, jailbreaked the weaker model, and recovered the stronger model's hidden reasoning in plaintext, without ever attacking the stronger model directly or triggering its anti-distillation safeguards. The decoded reasoning closely tracks the number of hidden thinking tokens reported by the API, and they contain real secrets and sensitive information.

Koray Kavukcuoglu is becoming head of Google DeepMind. He will report directly to Google CEO Sundar Pichai and oversee Gemini model development, frontier AI research, and the Gemini app and developer teams. Kavukcuoglu was previously DeepMind's CTO and Google's chief AI architect. The promotion shows that Google is prioritizing execution over deep research.

The model picker in AI products assumes one model can handle all tasks optimally, which is flawed. Lovable focuses on model independence, aligning specific models with suitable tasks and adapting as models improve. The control plane monitors builds, switching models to optimize performance, and even incorporates Lovable's self-trained models when they outperform external ones.

Why compression is just next-token prediction, an LLM + entropy coder is a compressor, and the implications when choosing models. Check out the interactive explainer on the ngrok blog

Token reduction tools promise 90% cost savings. Do they deliver? PointFive tested the $ impact of token reduction across 2,908 Claude Code sessions, 103 tasks, and 3 models. See the results.

The ChatGPT desktop app and Codex CLI now support importing settings, skills, plugins, and projects from another agent.

It's possible to hide watermarks in model weights.

Raindrop launches Signals 2.0, offering task-specific binary classifiers with the rd-signal-2 model, matching near GPT-5.6 accuracy at a fraction of the cost.

Some users will need to back up and restore their data as Manus resumes operations as an independent company.

Grok Bot gives each agent its own cloud computer, memory, and access to apps and websites, letting teams delegate multi-step work that continues autonomously.