Comparing the Top 4 Agentic AI Browsers in 2025: Atlas vs Copilot Mode vs Dia vs CometMarkTechPost Agentic AI browsers are moving the model from ‘answering about the web’ to operating on the web. In 2025, four AI browsers define this space: OpenAI’s ChatGPT Atlas, Microsoft Edge with Copilot Mode, The Browser Company’s Dia, and Perplexity’s Comet. Each makes different design choices around autonomy, memory, and privacy. This article compares their architectures,
The post Comparing the Top 4 Agentic AI Browsers in 2025: Atlas vs Copilot Mode vs Dia vs Comet appeared first on MarkTechPost.
Agentic AI browsers are moving the model from ‘answering about the web’ to operating on the web. In 2025, four AI browsers define this space: OpenAI’s ChatGPT Atlas, Microsoft Edge with Copilot Mode, The Browser Company’s Dia, and Perplexity’s Comet. Each makes different design choices around autonomy, memory, and privacy. This article compares their architectures,
The post Comparing the Top 4 Agentic AI Browsers in 2025: Atlas vs Copilot Mode vs Dia vs Comet appeared first on MarkTechPost. Read More
Stop Worrying about AGI: The Immediate Danger is Reduced General Intelligence (RGI)Towards Data Science Let’s make conscious and deliberate choices when we use AI.
The post Stop Worrying about AGI: The Immediate Danger is Reduced General Intelligence (RGI) appeared first on Towards Data Science.
Let’s make conscious and deliberate choices when we use AI.
The post Stop Worrying about AGI: The Immediate Danger is Reduced General Intelligence (RGI) appeared first on Towards Data Science. Read More
Comparing the Top 5 AI Agent Architectures in 2025: Hierarchical, Swarm, Meta Learning, Modular, EvolutionaryMarkTechPost In 2025, ‘building an AI agent’ mostly means choosing an agent architecture: how perception, memory, learning, planning, and action are organized and coordinated. This comparison article looks at 5 concrete architectures: Comparison of the 5 architectures Architecture Control topology Learning focus Typical use cases Hierarchical Cognitive Agent Centralized, layered Layer specific control and planning Robotics,
The post Comparing the Top 5 AI Agent Architectures in 2025: Hierarchical, Swarm, Meta Learning, Modular, Evolutionary appeared first on MarkTechPost.
In 2025, ‘building an AI agent’ mostly means choosing an agent architecture: how perception, memory, learning, planning, and action are organized and coordinated. This comparison article looks at 5 concrete architectures: Comparison of the 5 architectures Architecture Control topology Learning focus Typical use cases Hierarchical Cognitive Agent Centralized, layered Layer specific control and planning Robotics,
The post Comparing the Top 5 AI Agent Architectures in 2025: Hierarchical, Swarm, Meta Learning, Modular, Evolutionary appeared first on MarkTechPost. Read More
How to Design a Fully Interactive, Reactive, and Dynamic Terminal-Based Data Dashboard Using Textual?MarkTechPost In this tutorial, we build an advanced interactive dashboard using Textual, and we explore how terminal-first UI frameworks can feel as expressive and dynamic as modern web dashboards. As we write and run each snippet, we actively construct the interface piece by piece, widgets, layouts, reactive state, and event flows, so we can see how
The post How to Design a Fully Interactive, Reactive, and Dynamic Terminal-Based Data Dashboard Using Textual? appeared first on MarkTechPost.
In this tutorial, we build an advanced interactive dashboard using Textual, and we explore how terminal-first UI frameworks can feel as expressive and dynamic as modern web dashboards. As we write and run each snippet, we actively construct the interface piece by piece, widgets, layouts, reactive state, and event flows, so we can see how
The post How to Design a Fully Interactive, Reactive, and Dynamic Terminal-Based Data Dashboard Using Textual? appeared first on MarkTechPost. Read More
How to Automate Workflows with AITowards Data Science Learn how to take a manual process and optimize it using AI
The post How to Automate Workflows with AI appeared first on Towards Data Science.
Learn how to take a manual process and optimize it using AI
The post How to Automate Workflows with AI appeared first on Towards Data Science. Read More
MBZUAI Researchers Introduce PAN: A General World Model For Interactable Long Horizon SimulationMarkTechPost Most text to video models generate a single clip from a prompt and then stop. They do not keep an internal world state that persists as actions arrive over time. PAN, a new model from MBZUAI’s Institute of Foundation Models, is designed to fill that gap by acting as a general world model that predicts
The post MBZUAI Researchers Introduce PAN: A General World Model For Interactable Long Horizon Simulation appeared first on MarkTechPost.
Most text to video models generate a single clip from a prompt and then stop. They do not keep an internal world state that persists as actions arrive over time. PAN, a new model from MBZUAI’s Institute of Foundation Models, is designed to fill that gap by acting as a general world model that predicts
The post MBZUAI Researchers Introduce PAN: A General World Model For Interactable Long Horizon Simulation appeared first on MarkTechPost. Read More
Cerebras Releases MiniMax-M2-REAP-162B-A10B: A Memory Efficient Version of MiniMax-M2 for Long Context Coding AgentsMarkTechPost Cerebras has released MiniMax-M2-REAP-162B-A10B, a compressed Sparse Mixture-of-Experts (SMoE) Causal Language Model derived from MiniMax-M2, using the new Router weighted Expert Activation Pruning (REAP) method. The model keeps the behavior of the original 230B total, 10B active MiniMax M2, while pruning experts and reducing memory for deployment focused workloads such as coding agents and tool
The post Cerebras Releases MiniMax-M2-REAP-162B-A10B: A Memory Efficient Version of MiniMax-M2 for Long Context Coding Agents appeared first on MarkTechPost.
Cerebras has released MiniMax-M2-REAP-162B-A10B, a compressed Sparse Mixture-of-Experts (SMoE) Causal Language Model derived from MiniMax-M2, using the new Router weighted Expert Activation Pruning (REAP) method. The model keeps the behavior of the original 230B total, 10B active MiniMax M2, while pruning experts and reducing memory for deployment focused workloads such as coding agents and tool
The post Cerebras Releases MiniMax-M2-REAP-162B-A10B: A Memory Efficient Version of MiniMax-M2 for Long Context Coding Agents appeared first on MarkTechPost. Read More
How to Build Memory-Powered Agentic AI That Learns Continuously Through Episodic Experiences and Semantic Patterns for Long-Term AutonomyMarkTechPost In this tutorial, we explore how to build agentic systems that think beyond a single interaction by utilizing memory as a core capability. We walk through how we design episodic memory to store experiences and semantic memory to capture long-term patterns, allowing the agent to evolve its behaviour over multiple sessions. As we implement planning,
The post How to Build Memory-Powered Agentic AI That Learns Continuously Through Episodic Experiences and Semantic Patterns for Long-Term Autonomy appeared first on MarkTechPost.
In this tutorial, we explore how to build agentic systems that think beyond a single interaction by utilizing memory as a core capability. We walk through how we design episodic memory to store experiences and semantic memory to capture long-term patterns, allowing the agent to evolve its behaviour over multiple sessions. As we implement planning,
The post How to Build Memory-Powered Agentic AI That Learns Continuously Through Episodic Experiences and Semantic Patterns for Long-Term Autonomy appeared first on MarkTechPost. Read More
A single beam of light runs AI with supercomputer powerArtificial Intelligence News — ScienceDaily Aalto University researchers have developed a method to execute AI tensor operations using just one pass of light. By encoding data directly into light waves, they enable calculations to occur naturally and simultaneously. The approach works passively, without electronics, and could soon be integrated into photonic chips. If adopted, it promises dramatically faster and more energy-efficient AI systems.
Aalto University researchers have developed a method to execute AI tensor operations using just one pass of light. By encoding data directly into light waves, they enable calculations to occur naturally and simultaneously. The approach works passively, without electronics, and could soon be integrated into photonic chips. If adopted, it promises dramatically faster and more energy-efficient AI systems. Read More
Microsoft has confirmed it is investigating a bug causing the Windows 10 KB5068781 extended security update to fail to install with 0x800f0922 errors on devices with corporate licensing. […] Read More
