JuicyTalkWhy Spatial Supersensing is Emerging as the Core Capability for Multimodal AI Systems?
Even strong ‘long-context’ AI models fail badly when they must track objects and counts over long, messy video streams, so the next competitive edge will come from models that predict…
Whole-Body Conditioned Egocentric Video Prediction – The Berkeley Artificial Intelligence Research Blog
× Predicting Ego-centric Video from human Actions (PEVA). Given past video frames and an action specifying a desired change in 3D pose, PEVA predicts the next video frame. Our results…
Comparing the Top 6 Inference Runtimes for LLM Serving in 2025
Large language models are now limited less by training and more by how fast and cheaply we can serve tokens under real traffic. That comes down to three implementation details:…
What exactly does word2vec learn? – The Berkeley Artificial Intelligence Research Blog
What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeling task. Despite the fact that word2vec is a…
Build a Multi-Agent System for Integrated Transcriptomic, Proteomic, and Metabolomic Data Interpretation with Pathway Reasoning
In this tutorial, we build an advanced multi-agent pipeline that interprets integrated omics data, including transcriptomics, proteomics, and metabolomics, to uncover key biological insights. We begin by generating coherent synthetic…
RL without TD learning – The Berkeley Artificial Intelligence Research Blog
In this post, I’ll introduce a reinforcement learning (RL) algorithm based on an “alternative” paradigm: divide and conquer. Unlike traditional methods, this algorithm is not based on temporal difference (TD)…
Moonshot AI Releases Kimi K2 Thinking: An Impressive Thinking Model that can Execute up to 200–300 Sequential Tool Calls without Human Interference
How do we design AI systems that can plan, reason, and act over long sequences of decisions without constant human guidance? Moonshot AI has released Kimi K2 Thinking, an open…
Build an Autonomous Wet-Lab Protocol Planner and Validator Using Salesforce CodeGen for Agentic Experiment Design and Safety Optimization
In this tutorial, we build a Wet-Lab Protocol Planner & Validator that acts as an intelligent agent for experimental design and execution. We design the system using Python and integrate…
Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End Analytics
How do you turn a vague business style question over messy folders of CSV, JSON and text into reliable Python code without a human analyst in the loop? Google researchers…
CMU Researchers Introduce PPP and UserVille To Train Proactive And Personalized LLM Agents
Most LLM agents are tuned to maximize task success. They resolve GitHub issues or answer deep research queries, but they do not reason carefully about when to ask the user…
Gouiri at the double as Marseille hammer 10-man Strasbourg
JuicyTalk- August 22, 2026
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Netflix’s 97% RT Crime Series Does More In 4 Episodes Than Most Do In 40
- JuicyTalk
- August 22, 2026
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