What’s hot, what’s hype, what’s worth it
What’s Worth It: Gear Worth Your Money 1. An adaptive gaming suite for everyone Inclusion is one of the biggest wins in 2025. Gaming is now accessible to all types of players through the...
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RA3: Mid-term training using temporal action abstraction to speed up post-training reinforcement learning (RL) in Code LLM
Long story short: A new Apple study formalizes what reinforcement learning RL should do “during training” after training and introduces RA3 (Reasoning as action abstraction)— An EM-style program that learns time-consistent potential actions from...
Stanford researchers release AgentFlow: In-flow reinforcement learning RL for modular, tooled AI agents
Long story short: AgentFlow is a trainable agent framework with four modules (Planner, Executor, Validator, Generator) coordinated by an explicit memory and toolset. Planner optimized in loop Using new in-strategy methods, flow-grpowhich broadcasts trajectory-level...
How to set up, chat and connect with your perfect AI partner
In the new age of digital intimacy, fantasies are no longer limited to the imagination. You can now create it, customize it and chat with it in real time. Welcome to Joi.com, one of...
Anthropic AI releases Petri: an automated auditing open source framework that uses AI agents to test the behavior of target models in different scenarios.
How do you audit cutting-edge LL.M.s for inconsistent behavior in a realistic multi-round, tool-use environment—at scale and beyond a rough summary score? Anthropic release Petri (a parallel exploration tool for risk interactions)an open source...
Model Context Protocol (MCP) vs. Function Calls vs. OpenAPI Tools—When to Use?
MCP (Model Context Protocol): Transport-agnostic open protocol that standardizes the discovery and invocation of tools/resources across hosts and servers. most suitable Portable, multi-tool, multi-runtime system. Function call: Provider functions...
Google AI introduces Gemini 2.5 “Computer Usage” (Preview): Browser control model powers AI agents to interact with user interfaces
If agents could plan and execute predefined UI actions, which browser workflow would you delegate today? Google AI introduced Gemini 2.5 computer usageis the professional variant of Gemini 2.5 planned and executed Real UI...
Meta AI Open Source OpenZL: Format-aware compression framework with universal decoder
How much compression ratio and throughput can you recover by training format aware graph compressor and transferring only self-descriptive graphs to the general purpose decoder? Meta-Artificial Intelligence Release Open...
How messaging apps replace social media: Trends and forecasts
Remember social media is the wild west of the internet? Facebook walls are full of Farmville requests, Twitter (now X) swept everything from pineapples on pizza to geopolitics, Instagram feed is so polished that...
Intelligent conversational machine learning pipeline integrating LangChain Agent and XGBoost for automating data science workflows
In this tutorial, we combine the analytical capabilities of XGBoost with the conversational intelligence of LangChain. We built an end-to-end pipeline that can generate synthetic datasets, train XGBoost models, evaluate their performance, and visualize...