Much like the SaaS explosion of the 2000s, which caught many off guard before spawning an ecosystem of trillion-dollar companies, vertical AI agents are poised to unlock immense value. Not only do they streamline repetitive workflows, but they also promise to replace entire teams, cutting operational costs and enabling companies to scale faster and more...
Category: AI
Tag Based Prompting for Better Prompting Performance
Large Language Models (LLMs) have amazed us with their ability to generate human-quality text, translate languages, and answer complex questions. But what happens when you need them to tackle something outside their general knowledge base – like predicting the properties of a protein or translating a highly structured technical document? That's where tag-based prompting comes...
When AI goes shopping: AI agents promise to lighten your purchasing load − if they can earn your trust
Online shopping often involves endless options and fleeting discounts. A single search for running shoes can yield hundreds of results across multiple platforms, each promising the “best deal.” The holiday season brings excitement, but it also brings a blend of decision fatigue and logistical nightmares.What if there were a tool capable of hunting for the...
In-Context Scheming in Frontier Language Models
Researches from Apollo Research have investigated the ability of large language models (LLMs) to engage in "scheming"—covertly pursuing misaligned goals. The research evaluated several leading LLMs across various scenarios designed to incentivise deceptive behaviour, finding that these models can strategically deceive, manipulate, and even attempt to subvert oversight mechanisms to achieve their objectives. The study...
ChatGPT’s artificial empathy is a language trick. Here’s how it works
Anthropomorphism occurs when we attribute human characteristics to non-human entities like animals or machines. Chatbots, such as ChatGPT, Gemini and Copilot, encourage this by imitating human language to communicate with us, going beyond using mere familiar words and phrases to adopt human patterns of communication. By doing this, they are able to hold contextualised, coherent...
The Long Context
In "You Exist In The Long Context," Steven Johnson explores the advancements in large language models (LLMs), particularly the significant impact of long context windows. Johnson illustrates this progress by creating an interactive game based on his book, showcasing the LLM's ability to handle complex narratives and maintain factual accuracy. He draws a parallel between...
The Model Context Protocol
Anthropic's Model Context Protocol (MCP) is an open-source standard for connecting AI assistants to various data sources. MCP employs a client-server architecture, enabling two-way communication between AI applications (clients) and data providers (servers) via different transports like stdio and HTTP with SSE. The protocol facilitates access to resources, tools, and prompts, enhancing AI response relevance...
Anthropic’s Enhanced Writing Styles
Anthropic's Claude AI has been updated with a "styles" feature, allowing users to customise the AI's communication style by pre-selecting formal, concise, or explanatory modes, or by uploading custom examples. This personalisation approach differentiates Claude from competitors like ChatGPT and Gemini, who maintain a single conversational style. Anthropic highlights its commitment to data privacy, stating...
Blurry, morphing and surreal – a new AI aesthetic is emerging in film
Type text into AI image and video generators, and you’ll often see outputs of unusual, sometimes creepy, pictures. In a way, this is a feature, not a bug, of generative AI. And artists are wielding this aesthetic to create a new storytelling art form. The tools, such as Midjourney to generate images, Runway and Sora...
TinyTroupe: Simulating Human Behaviour with AI
Microsoft has released TinyTroupe, an open-source Python library that uses large language models to simulate human behaviour in virtual environments. This allows for testing digital advertising, software, and generating synthetic data for machine learning. The library enables the simulation of multiple AI agents ("TinyPersons") with individual personalities interacting within a simulated world ("TinyWorld"), facilitating virtual...
