AI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale Matters
Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is on…
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What’s Missing From LLM Chatbots: A Sense of Purpose
LLM-based chatbots’ capabilities have been advancing every month. These improvements are mostly measured by benchmarks like MMLU, HumanEval, and MATH (e.g. sonnet 3.5, gpt-4o). However, as these measures get more…
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Listen Labs raises $69M after viral billboard hiring stunt to scale AI customer interviews
Alfred Wahlforss was running out of options. His startup, Listen Labs, needed to hire over 100 engineers, but competing against Mark Zuckerberg's $100 million offers seemed impossible. So he spent…
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Liquid AI Open-Sources Antidoom: A Final Token Preference Optimization (FTPO) Method that Reduces Doom Loops in Reasoning Models
Liquid AI has released Antidoom, an open-source method that targets a common failure mode in reasoning models. That failure mode is the doom loop. In a doom loop, a model…
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Building Effective AI Agents Without Over-Engineering
In this article, you will learn how to decide whether a given piece of agent functionality should be built as a tool or as a subagent, and how to avoid…
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Proxy-Pointer RAG: Temporal Reasoning Without Semantic Precompilation
Retrieval-Augmented Generation (RAG) has evolved rapidly in recent times. The original RAG paradigm was designed to be straightforward: retrieve the most relevant chunks from a corpus and use them to…
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PRX Part 4: Our Data Strategy
Welcome back! This is Part 4 of the PRX series. Parts 1 to 3 covered model architectures, training design, and a 24-hour speedrun. This time we’re pulling back the curtain…
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Gemini 3.5 Live Translate is here
Twenty years ago, translation at Google began as one of our pioneering machine learning experiments to turn the science of language into the magic of human connection. That experiment has…
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Gradient-based Planning for World Models at Longer Horizons – The Berkeley Artificial Intelligence Research Blog
GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1) lifting the trajectory into virtual states so optimization is parallel across…
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NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community
Open source AI has shown how quickly developers can innovate when models, data and tools are shared. Robotics has the same opportunity, but advancements in physical AI development can still…
