For the past few years, we have watched agentic AI systems generate impressive demonstrations. They write code that passes test cases. They search the web and...
For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on massive datasets, increased the number of parameters,...
For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can...
In the race to build increasingly autonomous AI agents, the community has focused heavily on improving agents’ capabilities and showcasing what they can do. We constantly...
For many years, the main question in artificial intelligence (AI) was how to align AI models with human values. Researchers tried to define safety rules, ethical...
When you walk into a dark room, you hit a switch. You do not wonder where the electricity comes from. You do not think about the...
For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and...
For the past five years, the artificial intelligence industry has been effectively synonymous with one word: Transformer. Since the release of the seminal “Attention Is All...
Moonshot AI’s new Kimi K2 Thinking model has quickly captured the industry’s attention. Many observers are focused on its strong benchmark results, its remarkable efficiency, or...
For years, the AI field focused on one goal: making systems remember better. We trained models on massive datasets and steadily improved their ability to retain...
Reinforcement learning has long been one of artificial intelligence’s most promising yet an under explored fields. This is the technology behind the most incredible AI achievements,...
For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with...
For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate....
The field of AI alignment has long focused on aligning individual AI models to human values and intentions. But with the rise of multi-agent systems, this...
For years, we have watched large language models (LLMs) capture our imagination. ChatGPT writes emails, Gemini provides answers, and Llama powers a wide range of applications....