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TORUS

Hello Mate,

For UK founders, operators and professionals who want a fast, useful view of what changed in AI in the last 24 hours.

Let’s dive in.

Today’s AI Signal

  1. Britain plans a cabinet-level artificial intelligence post

    Andy Burnham's team has reportedly asked officials to prepare plans to abolish the Department for Science, Innovation and Technology. Much of its work could move into a larger business department, while a dedicated artificial intelligence minister would join the Cabinet.

    The plan is not yet formal government policy. Still, it tells us how the incoming administration may think about AI: less as an isolated technology brief and more as part of growth, industrial policy and public service reform.

    For UK businesses, the machinery around AI funding, procurement, regulation and skills could change quickly after the new Cabinet is announced.

  2. China makes open ai part of foreign policy

    At the World AI Conference in Shanghai, Xi Jinping called for wider access to open models and announced the World Artificial Intelligence Cooperation Organization.

    China is presenting open AI as an alternative to closed American systems. It is also offering training and cooperation to countries that may not be able to afford the largest proprietary platforms.

    British companies may gain more choice and lower prices. They will also need stronger checks around data location, security, licensing and dependence on foreign model providers.

  3. Kimi K3 raises the pressure on closed AI models

    Moonshot AI has released Kimi K3, a 2.8-trillion-parameter model with image understanding and a one-million-token context window. It is available through Kimi's website, coding product and API, with full model weights due by 27 July.

    Moonshot says K3 still trails the strongest proprietary models overall, which is a refreshingly honest caveat. Its size, price and open release plan still make it a serious option for long documents, software work and research.

    The sensible move is not to switch vendors this week. Run the same real task through Kimi, your current model and one other alternative. Compare the output before comparing the marketing.

TODAY’S LESSON
A 20-minute test before buying another AI tool

A polished demo proves very little. Test every AI product against one piece of work that your team already understands.

Choose a task such as reviewing a proposal, comparing supplier quotes or turning a customer call into actions. Remove confidential details, then give the same material and instructions to two models.

Use this prompt:

Review the material below as an operations adviser.

Produce:

1. A five-sentence summary.
2. Every decision already made.
3. Actions, owners and dates mentioned.
4. Missing information that could delay the work.
5. Claims that need checking.
6. A short follow-up email.

Do not invent missing facts.

For every conclusion, quote or identify the section that supports it.

Material:
[PASTE REDACTED MATERIAL]

Score each tool from one to five on accuracy, evidence, editing time, data controls and total cost.

Do not choose the model that writes the nicest paragraph. Choose the one that reduces the amount of checking your team must do.

UK AI tools and offers

Kimi K3

What it does: Reads large collections of documents, works with images and office files, produces research and slide drafts, and supports coding tasks.

Best for: Comparing lengthy reports, reviewing document collections and creating an initial research brief.

Pricing: Kimi offers a free membership level. API access is usage-based, with K3 priced at roughly $3 per million input tokens and $15 per million output tokens.

Torus verdict: Worth testing on non-confidential work. Do not move sensitive company data into it until your security and privacy checks are complete.

Free Offer: UK AI Skill Boost

The UK government's AI Skills Hub offers free workplace AI courses for adults across the country. Learners can create a training profile, follow a recommended path and earn a government-backed AI foundations badge through selected courses.

This is a sensible starting point for small businesses that want to train staff without buying a company-wide course.

Tool: Google AI Studio

Google AI Studio lets users test Gemini models and build simple prototypes in the browser. For a UK founder, the practical use is testing prompts, checking model behaviour and shaping a simple AI workflow before paying a developer. Google says AI Studio usage is free in available regions, with model and API limits. Read more.

Tool: BuiltInEurope.com - free AI startup jobs portal

Balderton's new portal aggregates 19,781 live roles across 1,000+ AI-first startups and scale-ups in the UK and Europe, searchable by role, location, and sector.
Whether you are hiring or looking to join an AI-first company, this is the most comprehensive free European startup jobs database available today. Apply Here

UK AI Job Opportunities

  • Faculty Fellowship Programme: Data Science

    Location: London, in person
    Format: Eight-week programme beginning in October 2026
    Good fit for: Researchers and technically strong graduates moving into applied data science
    Right to work: Full UK working rights are required

  • Machine Learning Engineer: Encord

    Location: London, primarily office-based
    Work: Build machine learning and computer vision systems used in production AI workflows
    Good fit for: Experienced engineers with machine learning and computer vision experience

  • Applied ML Researcher: CuspAI

    Location: Cambridge or London, with other European offices available
    Work: Apply machine learning to molecular simulation and the discovery of new materials
    Good fit for: Researchers with machine learning, computational chemistry or scientific computing experience

Stay in the loop - TORUS tracks UK and European AI so you do not have to.

You are reading TORUS because you want to stay ahead of where AI is going, not just where it is today. If you find this useful, forward it to one UK founder, operator or policy‑maker who should be thinking about AI infrastructure, tools and skills right now.

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