TLT's AI Brief: May 2026

Meta Releases Llama 4

Meta released Llama 4 on 5 April. Meta describes Llama as a multimodal AI system capable of processing and integrating various types of data including text, video, images and audio, and able to convert content across these formats.

Meta plans to spend as much as $65 billion this year to expand its AI infrastructure, amid investor pressure on big tech firms to show returns on their investments.

Read more here.

DeepSeek – Continued Scrutiny

Following the high-profile emergence of DeepSeek's R1 model in late January 2026, scrutiny of the model's data practices and potential national security implications has continued. Several jurisdictions, including Italy and the UK, have taken steps to review or restrict use of the model on government and public sector devices. Additionally, a US Commission has warned that China's use of open-source AI threatens the US lead in AI development.

Read more here.

Lloyds Bank to Use AI Tool in Board Meetings

Lloyds Banking Group has become the first UK-listed blue-chip company to deploy a specialist AI "board bot" in its boardroom, supplied by advisory firm Board Intelligence, which senior executives and directors are using to review confidential material, prepare for meetings and check for bias in decision-making.

The system has been trained across areas including cybersecurity, sustainability, financial analysis and M&A, with Lloyds currently using it primarily for meeting preparation, though its developer envisages a future where directors interact with it in real time during discussions.

Read more here.

Microsoft and OpenAI Amend Exclusivity Arrangements

Microsoft and OpenAI have announced amended partnership terms under which Microsoft's licence to OpenAI IP is now non-exclusive and OpenAI can serve products across any cloud provider (while Azure remains the primary cloud partner).

This restructuring is significant because, until now, the Microsoft/OpenAI partnership has been a defining feature of the generative AI landscape, and one that gave Microsoft a privileged position in how OpenAI's technology was accessed and deployed. By moving to a non-exclusive arrangement, OpenAI gains greater commercial freedom and the market opens up to broader cloud competition.

Read more here.

Google Cloud Growth Highlights Enterprise AI Demand

Alphabet reported a significant acceleration in Google Cloud growth in the first quarter of 2026, with year-on-year revenue increasing by approximately 63%, driven in large part by rising enterprise demand for AI-enabled cloud services.

For businesses procuring AI tools, the key takeaway is that AI adoption is increasingly intertwined with broader decisions about cloud infrastructure and data governance – decisions that can be difficult and costly to reverse.

Read more here.

OpenAI Launches Life Sciences Model

OpenAI has launched GPT-Rosalind, a model designed to support life sciences research, including biochemistry, drug discovery and medicine development. The model is intended to assist with tasks such as reviewing evidence, hypothesis generation and planning experiments.

The launch is part of a broader trend of AI tools being developed for specific industries where accuracy and specialist knowledge matter most. It also highlights the growing role AI is playing in pharmaceutical and scientific research.

Read more here.

AI-Powered Smart Glasses Win £1 Million Prize in Dementia Care Breakthrough

A London-based team has won the £1 million Longitude Prize on Dementia for CrossSense, an AI-powered assistant built into smart glasses that helps people living with dementia navigate daily tasks independently. At its core is Wispy, a conversational AI companion that recognises objects in real time and adapts to individual habits, guiding users through everything from making tea to hosting guests, and has already shown promising results in improving memory, object recognition and confidence in daily routines. The team plans to bring the technology to market by 2027.

Read more here.

AI Shows Promise in Emergency Diagnosis

A Harvard-led study has found that an AI reasoning model performed strongly in text-based emergency room diagnostic scenarios, outperforming physicians in identifying diagnoses across a set of complex cases. The Guardian reported that the model identified correct diagnoses in 67% of cases, compared with 50–55% for doctors, rising to 82% when given more detailed information.

The results are promising, but the study also highlights the need for caution. The tests were text-based and did not assess the ability to interpret visual symptoms or other human cues. For now, the more realistic use case appears to be AI as clinical decision support rather than a replacement for clinicians.

Read more here.

Date Event

3 June 2026 - AI in Motion: Addressing bias in AI, at TLT's London office

8–12 June 2026 - London Tech Week

10–11 June 2026 - The AI Summit Series: The AI Summit London

29–30 June 2026 - Reuters: Momentum AI London

7–10 July 2026 - UN: AI for Good Global Summit (Geneva)

23–24 September 2026 - Big Data London

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