Daily AI Recap: Apr 02, 2026

Welcome to today's curated briefing of the most important AI developments.

• Replit Agent Skills Complete Guide: Write Your Own Skills in Replit: ‘Skill’ is the latest buzzword in agentic AI workflows, and you will know this for sure if you use any of the AI coding platforms today. We explored Skills in Claude Code in detail in a previous artic...
• TurboQuant: Google’s KV Cache Optimization Explained: A few days ago, a group of researchers at Google dropped a PDF that didn’t just change AI: it wiped billions of dollars off the stock market. If you looked at the charts for Micron (MU) or Western Dig...
• Google now lets you direct avatars through prompts in its Vids app: Google is adding a way to customize and instruct avatars for video creation in the Vids app...
• Linear Regression Is Actually a Projection Problem (Part 2: From Projections to Predictions): The Vector View of Least Squares. The post Linear Regression Is Actually a Projection Problem (Part 2: From Projections to Predictions) appeared first on Towards Data Science....
• How to Handle Classical Data in Quantum Models?: Workflows and encoding techniques in quantum machine learning The post How to Handle Classical Data in Quantum Models? appeared first on Towards Data Science....
• Press Start on April: GeForce NOW Brings 10 Games to the Cloud: No joke — GFN Thursday is skipping the tricks and heading straight into the games. April kicks off with ten new titles, bringing fresh adventures to GeForce NOW, including the launch of Capcom’s highl...
• Quantum Simulations with Python: Run Quantum Experiments with Qiskit-Aer The post Quantum Simulations with Python appeared first on Towards Data Science....
• Codex now offers more flexible pricing for teams: Codex now includes pay-as-you-go pricing for ChatGPT Business and Enterprise, providing teams a more flexible option to start and scale adoption....
• How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines: In this tutorial, we build a complete AgentScope workflow from the ground up and run everything in Colab. We start by wiring OpenAI through AgentScope and validating a basic model call to understand h...
• Evolution Strategies for Deep RL pretraining: arXiv:2604.00066v1 Announce Type: new Abstract: Although Deep Reinforcement Learning has proven highly effective for complex decision-making problems, it demands significant computational resources a...
• Perspective: Towards sustainable exploration of chemical spaces with machine learning: arXiv:2604.00069v1 Announce Type: new Abstract: Artificial intelligence is transforming molecular and materials science, but its growing computational and data demands raise critical sustainability c...
• How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic Study: arXiv:2604.00005v1 Announce Type: new Abstract: Emotion plays an important role in human cognition and performance. Motivated by this, we investigate whether analogous emotional signals can shape the...
• Welcome Gemma 4: Frontier multimodal intelligence on device: ...

• Two-Stage Optimizer-Aware Online Data Selection for Large Language Models: arXiv:2604.00001v1 Announce Type: new Abstract: Gradient-based data selection offers a principled framework for estimating sample utility in large la...
• Task-Centric Personalized Federated Fine-Tuning of Language Models: arXiv:2604.00050v1 Announce Type: new Abstract: Federated Learning (FL) has emerged as a promising technique for training language models on distribu...
• Temporal Memory for Resource-Constrained Agents: Continual Learning via Stochastic Compress-Add-Smooth: arXiv:2604.00067v1 Announce Type: new Abstract: An agent that operates sequentially must incorporate new experience without forgetting old experience...
• One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction: arXiv:2604.00085v1 Announce Type: new Abstract: Large language models applied to clinical prediction exhibit case-level heterogeneity: simple cases y...
• Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents: arXiv:2604.00137v1 Announce Type: new Abstract: Tool-integrated LLMs can retrieve, compute, and take real-world actions via external tools, but relia...
• A Safety-Aware Role-Orchestrated Multi-Agent LLM Framework for Behavioral Health Communication Simulation: arXiv:2604.00249v1 Announce Type: new Abstract: Single-agent large language model (LLM) systems struggle to simultaneously support diverse conversati...
• Human-in-the-Loop Control of Objective Drift in LLM-Assisted Computer Science Education: arXiv:2604.00281v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly embedded in computer science education through AI-assis...

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