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    • Research Agenda 2026
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Tag Archives: ai hallucinations

A normal chessboard, but with floating annotations like: illegal move, queen on c9, Nxc3??

Fluent but Wrong: LLMs, Chess, and Internal Models

Artificial Intelligence, Foundations of AIBy Mat Newcomb20 July, 2026

Chess is a game that has fascinated AI researchers. Alan Turing wrote a chess algorithm on paper in 1951, though the computers of the time were too slow to run it. In 1957 an IBM engineer called Alex Bernstein wrote a chess program for an IBM 704 computer, which ran on vacuum tubes. As silicon…

AI Hallucination

Confidently Wrong: Hallucinations Revisited

Artificial Intelligence, Foundations of AIBy Mat Newcomb15 July, 2026

One of the biggest challenges facing large language models (LLMs) is hallucination: generating information that is false but presented as fact. Moreover, these fabrications tend to be plausible and convincing. For example, in a legal context, LLM-generated court documents regularly hallucinate precedent court cases. Many submissions by lawyers have been caught, and law firms and…

AI on trial: A gavel hitting some pink glowing electronic components.

Who Pays When AI Lies?

Artificial Intelligence, Ethics of AIBy Mat Newcomb23 June, 2026

Did a Munich court just open a legal can of worms for AI companies? Traditionally, internet platforms and search providers like Google have been legally insulated from the content that their platforms display. If they provide a link via a search to a website that had defamatory content or obscenities, they are protected in the…

Dancing robot waiter spilling trays while a drive-thru screen shows "18,000 water cups"

AI in The Restaurant Industry

AI in Industry, Artificial IntelligenceBy Mat Newcomb4 April, 2026

The restaurant industry generates over $4 trillion to the global economy, and employs at least 50 million people (possibly as many as 100 million). As with any industry, there is potential for the use of AI in various aspects of it, from back-office operations like booking and ordering systems, through to personalised marketing and staff…

A split-screen of a student writing by hand or typing on a laptop on one side, and a robot or AI typing on the other side.

The Hallucination Generation: AI Plagiarism and The Death of Truth

Artificial Intelligence, Ethics of AIBy Mat Newcomb12 November, 2025

Plagiarism, presenting someone else’s words, ideas, or work as your own without giving proper credit to the source, is not new. The term was coined by the poet Martial in ancient Rome, around 80 AD. However, it has taken on a new lease of life with the widespread use of generative artificial intelligence (AI) based…

A humanoid robot confidently points the wrong way at a crossroads sign that clearly shows “Success” in one direction and “Failure” in the other.

Tales From the AI Frontier

Artificial Intelligence, Emerging Topics in AIBy Mat Newcomb4 November, 2025

Artificial intelligence, particularly generative AI, based on large language models (LLMs) has had a seismic impact on the world since ChatGPT’s public release in November 2022. Half of all internet content is now AI-generated, over half of all venture capital investment is AI-related, and NVIDIA became the most valuable company in the world in July…

An abstract digital illustration of an AI reasoning network forming branching paths of thought, glowing nodes connected in a tree-like structure, cool blue tones, minimal futuristic design.

Give Me One Good Reason: AI Reasoning Models

Artificial Intelligence, Foundations of AIBy Mat Newcomb29 October, 2025

Large language models (LLMs) have developed significantly since ChatGPT burst onto the public scene in late 2022, built on the GPT-3 model. There have been increases in scale, with GPT-4 being several times larger than GPT-3 in terms of the numbers of parameters. Context windows increased from a few thousand tokens to over a million.…

A life raft at sea labelled "RAFT" is helping a struggling swimmer.

From RAGs to RAFTs

Artificial Intelligence, Foundations of AIBy Mat Newcomb25 October, 2025

Large language models (LLMs) such as ChatGPT have excellent linguistic skills, but to use them for a specific business process, they need additional knowledge. For example, a customer service chatbot would not be much use unless it knew things like the products that the company sold and who had purchased them and when. To supplement…

Seahorse surrounded by floating emoji options. The seahorse look confused, surrounded by fish, unicorns, sharks, and other emojis, highlighting the “hallucination” problem.

Seahorses and AI Don’t Mix

Artificial Intelligence, Emerging Topics in AIBy Mat Newcomb22 October, 2025

I recently stumbled across an AI curiosity via a post on LinkedIn. Before we explore this, a little background is necessary. When a large language model (LLM) gets a prompt then it has to decide how long to make its answer – a few sentences, or something longer? The LLM actually generates an “end of…

A workman's toolbox with an AI as one of the tools alongside the regular tools

Choose Your AI Wisely

Artificial Intelligence, Emerging Topics in AIBy Mat Newcomb9 October, 2025

Because of the buzz around generative artificial intelligence (AI) chatbots like ChatGPT and Claude, it is easy to forget that large language models (LLMs) which power generative AI, are just a subset of AI. There are actually many forms of AI around, from old-fashioned expert systems to machine learning, to reinforcement learning systems to newer…

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