Google has launched Antigravity as an agentic development platform that sits on high of Gemini 3. It will not be solely an autocomplete layer, it’s an IDE the place brokers plan, execute, and clarify advanced software program duties throughout editor, terminal, and browser surfaces. Antigravity was launched on November 18, 2025, alongside Gemini 3 as…
In this tutorial, we dive deep into how we systematically benchmark agentic elements by evaluating a number of reasoning methods throughout numerous duties. We discover how completely different architectures, reminiscent of Direct, Chain-of-Thought, ReAct, and Reflexion, behave when confronted with issues of growing issue, and we quantify their accuracy, effectivity, latency, and tool-usage patterns. By…
In this tutorial, we construct an superior agentic Deep Reinforcement Learning system that guides an agent to study not solely actions inside an surroundings but in addition how to select its personal coaching methods. We design a Dueling Double DQN learner, introduce a curriculum with rising problem, and combine a number of exploration modes that…
How do you construct an AI assistant that feels emotionally clever and dependable to people, as a substitute of simply making a much bigger mannequin? Meet Grok 4.1, xAI’s newest massive language mannequin and it now powers Grok throughout grok.com, X and the cellular client apps. According to xAI staff, the mannequin is on the…
How will we transfer from language fashions that solely reply prompts to techniques that may motive over million token contexts, perceive actual world indicators, and reliably act as brokers on our behalf? Google simply launched Gemini 3 household with Gemini 3 Pro because the centerpiece that positions as a main step towards extra basic AI…
Reinforcement learning RL for big language mannequin LLM brokers seems to be engaging on paper, however in follow it breaks on price, infrastructure and reward noise. Training an agent that clicks by means of net pages or completes multi step software use can simply want tens of 1000’s of actual interactions, every gradual, brittle and…
Google DeepMind has launched SIMA 2 to check how far generalist embodied brokers can go inside complicated 3D sport worlds. SIMA’s (Scalable Instructable Multiworld Agent) new model upgrades the unique instruction follower right into a Gemini pushed system that causes about objectives, explains its plans, and improves from self play in many alternative environments. From…
In this half of the Interview Series, we’ll have a look at some of the frequent safety vulnerabilities in the Model Context Protocol (MCP) — a framework designed to let LLMs safely work together with exterior instruments and knowledge sources. While MCP brings construction and transparency to how fashions entry context, it additionally introduces new…
Agentic AI browsers are shifting the mannequin from ‘answering about the internet’ to working on the internet. In 2025, 4 AI browsers outline this area: OpenAI’s ChatGPT Atlas, Microsoft Edge with Copilot Mode, The Browser Company’s Dia, and Perplexity’s Comet. Each makes completely different design selections round autonomy, reminiscence, and privateness. This article compares their…
In this tutorial, we discover how to construct agentic techniques that suppose past a single interplay by using reminiscence as a core functionality. We stroll by how we design episodic reminiscence to retailer experiences and semantic reminiscence to seize long-term patterns, permitting the agent to evolve its behaviour over a number of classes. As we…