ai

Auto Added by WPeMatico

Gemini 3.1 Pro: A Hands-On Test of Google’s Newest AI

Just 3 months after the release of their state-of-the-art model Gemini 3 Pro, Google DeepMind is here with its latest iteration: Gemini 3.1 Pro. A radical upgrade in terms of capabilities and safety, Gemini 3.1 Pro model strives to be accessible and operable by all. Regardless of your preference, platform, purchasing power, the model has […]

Gemini 3.1 Pro: A Hands-On Test of Google’s Newest AI Read More »

Study: AI chatbots provide less-accurate information to vulnerable users

Large language models (LLMs) have been championed as tools that could democratize access to information worldwide, offering knowledge in a user-friendly interface regardless of a person’s background or location. However, new research from MIT’s Center for Constructive Communication (CCC) suggests these artificial intelligence systems may actually perform worse for the very users who could most

Study: AI chatbots provide less-accurate information to vulnerable users Read More »

Lawsuit: ChatGPT told student he was “meant for greatness”—then came psychosis

A Georgia college student named Darian DeCruise has sued OpenAI, alleging that a recently deprecated version of ChatGPT “convinced him that he was an oracle” and “pushed him into psychosis.” This case, which was first reported by ALM, marks the 11th such known lawsuit to be filed against OpenAI that involves mental health breakdowns allegedly

Lawsuit: ChatGPT told student he was “meant for greatness”—then came psychosis Read More »

Google AI Releases Gemini 3.1 Pro with 1 Million Token Context and 77.1 Percent ARC-AGI-2 Reasoning for AI Agents

Google has officially shifted the Gemini era into high gear with the release of Gemini 3.1 Pro, the first version update in the Gemini 3 series. This release is not just a minor patch; it is a targeted strike at the ‘agentic’ AI market, focusing on reasoning stability, software engineering, and tool-use reliability. For devs,

Google AI Releases Gemini 3.1 Pro with 1 Million Token Context and 77.1 Percent ARC-AGI-2 Reasoning for AI Agents Read More »

Exposing biases, moods, personalities, and abstract concepts hidden in large language models

By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they’re far from simple answer-generators; they can also express abstract concepts, such as certain tones, personalities, biases, and moods. However, it’s not obvious exactly how these models represent abstract concepts to begin with from the knowledge they contain.Now a

Exposing biases, moods, personalities, and abstract concepts hidden in large language models Read More »

A Coding Implementation to Build Bulletproof Agentic Workflows with PydanticAI Using Strict Schemas, Tool Injection, and Model-Agnostic Execution

In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define clear response schemas, wire in tools via dependency injection, and ensure the agent can safely interact with external systems, such as a database, without breaking execution. By

A Coding Implementation to Build Bulletproof Agentic Workflows with PydanticAI Using Strict Schemas, Tool Injection, and Model-Agnostic Execution Read More »