OpenAI has introduced a new feature in ChatGPT that allows users to understand maths and science concepts through interactive visual explanations, turning formulas and equations into dynamic models that can be manipulated in real time.

Why?

This new capability reflects the growing role of ChatGPT as a learning tool rather than simply a conversational AI assistant. According to OpenAI, millions of people already rely on the system to help them understand academic subjects.

As the company explains, “ChatGPT has quickly become one of the most widely used tools for learning. Each week, 140 million people use ChatGPT to help them understand math and science concepts alone.”

Maths and science are areas where many learners struggle with abstract ideas and formulas that can be difficult to visualise. OpenAI says the new feature aims to make these concepts easier to understand by allowing users to interact with them directly rather than simply reading about them.

Turning Equations Into Interactive Experiments

The new feature, called dynamic visual explanations, enables ChatGPT to generate interactive visual modules when users ask questions about certain mathematical or scientific topics.

This means that, instead of receiving only a written explanation or a static diagram, users can adjust numbers and variables and immediately see how the results change. This effectively turns equations into small interactive experiments that learners can explore.

For example, someone asking about the Pythagorean theorem can adjust the lengths of the sides of a triangle and instantly see how the hypotenuse changes. A user exploring compound interest could modify the interest rate or time period and watch the growth curve update in real time.

According to OpenAI, the goal is to help people understand how relationships between variables actually work.

Examples Of What It Can Do

The interactive visuals support more than 70 maths and science topics, including concepts commonly taught at high school and college level.

Among the topics currently available are the Pythagorean theorem, Ohm’s law, Hooke’s law, exponential decay, kinetic energy, Coulomb’s law and compound interest. Geometry topics such as circle area and triangle area are also included.

When users ask ChatGPT about one of these subjects, the system can now provide both a written explanation and an interactive visual model that responds as the user adjusts variables.

OpenAI says the number of supported topics will expand over time as the system evolves.

Why Visual Learning Can Improve Understanding

The idea behind the feature is based on educational research suggesting that visual and interactive learning can improve understanding of complex subjects.

Many mathematical and scientific concepts describe relationships between variables. Seeing those relationships change dynamically can make them easier to grasp.

OpenAI explains that the goal is to move beyond simple explanations and help learners understand how ideas connect. As one educator involved in early feedback on the system noted, “What stands out is how strongly this feature emphasises conceptual understanding. When learning math, understanding why something works and how ideas connect helps concepts stick long term.”

The system has also been designed to encourage users to explore concepts further by adjusting variables and testing different scenarios.

How The Feature Fits Into ChatGPT’s Growing Education Tools

Dynamic visual explanations are actually part of a wider effort by OpenAI to develop ChatGPT as a learning platform.

In recent years, the company has introduced several features designed to support studying and exam preparation. These include Study Mode, which guides users through problems step by step, and quiz tools that allow people to create flashcards and test their knowledge.

OpenAI says the broader aim is to help people explore ideas and build deeper understanding.

As the company explains, “Helping people explore ideas, experiment with concepts, and build deeper understanding is one of the most meaningful ways we can bring the benefits of AI to people everywhere.”

The new visual tools extend that approach by allowing users to experiment directly with the mathematical relationships behind many common formulas.

AI Learning Tools Are Becoming A Competitive Battleground

OpenAI is not the only company exploring interactive learning tools powered by artificial intelligence. Other major AI developers are also introducing visual learning features. Google, for example, recently added interactive diagrams to its Gemini AI system to help explain scientific and mathematical concepts.

These developments really reflect a broader shift in how AI systems are being used in education. For example, rather than simply providing answers to questions, they are increasingly designed to act as interactive learning environments.

At the same time, the growing use of AI in education has sparked debate among teachers and policymakers. Some educators worry that students may become too dependent on AI tools, while others see them as a valuable way to support understanding of difficult subjects.

What Does This Mean For Your Business?

The introduction of interactive learning features in ChatGPT highlights how AI systems are evolving from information tools into platforms that help people understand complex ideas more effectively.

For businesses, this development may have implications for training, professional development and workplace learning. Many organisations already rely on digital tools to help employees develop technical skills in areas such as engineering, finance, data analysis and IT.

Interactive AI systems could make it easier for staff to understand complex concepts by allowing them to manipulate variables and see how formulas and scientific relationships behave in real time, rather than simply reading static explanations.

For organisations responsible for technical training, this could help accelerate learning and make difficult subjects more accessible to employees who may not have strong mathematical or scientific backgrounds.

At the same time, the growing role of AI in learning environments means businesses will need to think carefully about how these tools are used alongside traditional teaching, mentoring and professional guidance.

As AI learning tools continue to develop, they may increasingly become part of how organisations train staff in technical subjects such as mathematics, science, engineering and financial modelling.

Microsoft has introduced Copilot Cowork, a new artificial intelligence capability designed to move Copilot beyond answering questions and towards completing real tasks across Microsoft 365.

Why Microsoft Wants AI To Do More Than Just Chat

Since launching Copilot in late 2023, Microsoft has steadily expanded the role of AI inside its productivity tools, embedding AI capabilities directly into applications such as Word, Excel, Outlook and Teams.

The company now believes the next stage of workplace AI is turning responses into action. For example, rather than simply suggesting what to do next, Copilot Cowork is designed to carry out tasks across multiple Microsoft 365 applications on behalf of the user.

Microsoft said the goal is to move from answering questions to completing work. The company explained that Copilot is evolving from a tool that drafts responses into one that can help execute tasks across the digital workplace.

How Copilot Cowork Turns Requests Into Workflows

Copilot Cowork allows users to describe the outcome they want and then delegate the task to the AI system.

According to Microsoft, Cowork converts a request into a structured plan and then begins carrying out that work in the background. Users can monitor progress, pause the task or approve suggested actions before they are applied.

The company says the system “turns your request into a plan” and continues executing that plan in the background while allowing users to review each stage of progress.

This approach reflects a broader industry trend toward so called agentic AI systems, which are designed to execute tasks rather than simply generate answers.

The Role Of Work IQ In Understanding Workplace Data

A key element behind Copilot Cowork is a technology Microsoft calls Work IQ.

Work IQ acts as a context layer that connects enterprise data stored across Microsoft 365 applications. This includes emails in Outlook, files in SharePoint and OneDrive, conversations in Teams and documents created in Word, Excel and PowerPoint.

The same technology is also underpinning Microsoft’s new Microsoft 365 E7 bundle, sometimes referred to as “The Frontier Suite”, which combines Microsoft 365 E5 with Copilot and a new automation capability known as Agent 365.

Work IQ links organisational knowledge with AI tools so that Copilot can understand how projects, documents and communications relate to one another before taking action.

Why Microsoft Is Partnering With Anthropic

Another notable aspect of Copilot Cowork is Microsoft’s decision to incorporate technology from multiple AI developers.

The system includes Anthropic’s agentic AI technology and supports several AI models, including those developed by OpenAI and Anthropic. This multi model approach allows Microsoft to select different AI models depending on the task being performed.

Industry analysts say this reflects a broader direction in enterprise AI platforms, where companies combine several AI models rather than relying on a single provider.

Microsoft has already begun rolling out these capabilities as part of the latest wave of Microsoft 365 Copilot updates.

Growing Investment In Copilot

The launch of Copilot Cowork forms part of Microsoft’s wider effort to increase adoption of its AI tools across enterprise customers.

Microsoft said in its 2025 Annual Report that Copilot has reached more than 100 million monthly active users across both consumer and enterprise environments. Chief executive Satya Nadella has also said usage has grown nearly three times year on year.

However, adoption among paid enterprise users remains relatively modest. Industry reports suggest only a small proportion of Microsoft 365 users currently pay for Copilot Chat licences.

The company is therefore expanding the feature set and integrating Copilot more deeply into Microsoft 365 to encourage wider adoption across businesses.

What This Means For Your Business?

For organisations already using Microsoft 365, tools such as Copilot Cowork could change how routine tasks are managed across teams.

AI systems capable of coordinating tasks across email, documents, meetings and research may reduce the time employees spend gathering information or preparing materials for projects.

However, the effectiveness of these tools will depend heavily on how well an organisation manages its internal data and permissions.

As AI systems become capable of carrying out work tasks rather than simply generating responses, businesses may need stronger governance over data access, workflow controls and AI usage policies to ensure these systems operate securely and responsibly.

Google has updated its “Results about you” tool to help people find and remove personal information such as home addresses, phone numbers and email addresses from Google Search results.

The feature allows users to monitor whether their details appear in search results and request that links containing that information be removed from Google’s index. The move comes as the trade in personal data continues to grow, with Sophos X-Ops reporting a 1,253 per cent rise in dark web sales of personal data over the past five years.

Security experts say the tool can help limit the visibility of personal data, although it does not remove the information from the original website where it was published.

For businesses and organisations, regularly checking what information appears online and removing unnecessary personal data from public websites can help reduce the risk of identity theft, fraud and targeted harassment.

German climate technology company AIRMO is developing a new satellite system designed to precisely detect methane emissions from individual sources on Earth, potentially transforming how greenhouse gas leaks are monitored worldwide.

Why Methane Monitoring Is Becoming Critical

Methane is one of the most powerful greenhouse gases contributing to global warming. Scientists estimate it accounts for roughly 30 per cent of the warming currently affecting the planet.

Despite the seriousness of this situation, methane emissions from individual facilities are often poorly measured. For example, many oil and gas operators still rely on estimates rather than direct measurements, which can lead to significant underreporting.

At the same time, regulatory pressure is increasing. The European Union’s Methane Regulation and initiatives such as the Oil and Gas Methane Partnership (OGMP) 2.0 now require far more accurate emissions reporting across the energy sector.

These developments are driving demand for monitoring technologies capable of detecting leaks at specific sites rather than relying on broad regional estimates.

How AIRMO’s Space Sensor Technology Works

AIRMO, founded in 2022 and based in Berlin and Luxembourg, is developing a compact sensor payload that can be mounted on small satellites.

The system combines a short-wave infrared (SWIR) pushbroom spectrometer with a proprietary micro LiDAR (Light Detection and Ranging) system. Together, these sensors analyse how methane interacts with light reflected from the Earth’s surface.

The spectrometer identifies the chemical signature of methane, while the LiDAR component measures atmospheric conditions such as aerosols and wind patterns that can affect measurement accuracy.

According to the company, this combination significantly improves the precision of emissions measurements compared with spectrometer-only systems.

The result is a sensor small enough to fly on nanosatellites but powerful enough to detect methane plumes from very small individual sources.

Why Combining LiDAR And SWIR Improves Accuracy

Traditional satellite monitoring systems often rely only on spectrometry (identifying substances by how they absorb light). While effective for detecting large emissions areas, these systems can struggle to identify smaller leaks from individual industrial assets.

AIRMO’s approach adds LiDAR to correct for atmospheric effects that can distort readings.

The company explains that its satellite system is designed to deliver “reliable and accurate point source measurements”, allowing emissions to be traced back to specific infrastructure.

It also says the technology allows operators to “allocate emissions to individual sources — a huge leap forward in global emissions monitoring technology innovation.”

This level of precision could make it easier for regulators and companies to identify leaks quickly and repair them before they release large quantities of methane.

From Drones And Aircraft To Satellites

AIRMO doesn’t just make satellites. The company already deploys methane monitoring technologies on drones, aircraft and ground-based systems. These tools are currently used to inspect pipelines, storage facilities, LNG terminals and other energy infrastructure.

Drone-mounted sensors can detect leaks as small as one gram of methane per hour, while aircraft systems can survey hundreds of square kilometres during a single flight.

These airborne systems allow operators to identify leaks during inspections. Satellites could extend that capability by providing continuous monitoring across large geographic areas.

In Orbit By 2027

AIRMO says it plans to launch its first satellite in 2027 in partnership with Bulgarian satellite manufacturer EnduroSat.

The longer-term goal is to deploy a constellation of 12 satellites capable of providing near real-time global methane monitoring.

According to AIRMO, its satellite network will eventually provide “global and near real time capabilities” for monitoring greenhouse gas emissions.

Other Companies

AIRMO is actually part of a rapidly growing field of companies developing space-based methane monitoring systems.

Several satellite operators already provide emissions detection services. Canadian company GHGSat, for example, operates satellites capable of detecting methane emissions from individual industrial sites.

Other initiatives include MethaneSAT, backed by the Environmental Defense Fund, and the Carbon Mapper project, which is developing satellites designed to detect methane and carbon dioxide emissions from major industrial sources.

These systems are helping researchers and regulators identify previously unknown methane leaks around the world.

AIRMO’s technology aims to improve on existing systems by combining spectrometry and LiDAR sensors in a smaller satellite platform, potentially delivering higher resolution measurements with lower deployment costs.

How A Satellite Constellation Could Transform Emissions Monitoring

If successful, AIRMO’s satellite constellation could provide continuous global coverage of methane emissions.

Once fully deployed, the system is expected to deliver frequent updates from orbit, allowing operators and regulators to detect leaks much faster than current inspection-based approaches.

Rapid detection is important because methane leaks can persist unnoticed for long periods, releasing large quantities of greenhouse gases into the atmosphere.

Improved monitoring could help energy companies identify and repair leaks more quickly while also supporting more accurate emissions reporting.

What Does This Mean For Your Organisation?

For energy companies and infrastructure operators, technologies such as AIRMO’s satellite monitoring system could significantly change how methane emissions are measured and managed.

Regulators are increasingly demanding site-level emissions data rather than estimates, particularly under EU methane regulations and international reporting frameworks such as OGMP 2.0. Many UK organisations that import, trade or finance energy infrastructure are already affected by these reporting expectations.

Satellite-based monitoring could help companies identify leaks faster, verify emissions data and demonstrate compliance with emerging environmental standards. This may reduce regulatory risk and help organisations respond more quickly when emissions problems occur.

For UK businesses involved in finance, insurance and investment, improved methane monitoring could also provide more reliable data when assessing climate risk, sustainability performance and ESG reporting claims.

Companies involved in supply chains linked to oil, gas and energy infrastructure may also face increasing expectations from regulators, investors and customers to demonstrate that emissions are being measured accurately and managed responsibly.

As satellite sensing technologies continue to evolve, tools capable of detecting emissions from individual facilities may become an increasingly important part of global climate monitoring and corporate environmental accountability.

Microsoft’s new 365 Copilot Search is designed to help you find virtually anything across your Microsoft 365 environment, emails, files, chats and apps, and this video shows how it can surface the exact information you need in seconds instead of hunting through folders and messages.

[Note – To Watch This Video without glitches/interruptions, It may be best to download it first]

Browser extensions can read and change the content of websites you visit, so regularly reviewing and removing unused extensions in Chrome or Microsoft Edge is a quick way to reduce the risk of unnecessary access to email, documents and other business information viewed in your browser.

Why This Matters

Browser extensions are small add-ons that provide useful features such as password managers, AI assistants, grammar checkers or screenshot tools.

To work properly, many extensions request permission to read and change the data on websites you visit. This can include pages in services such as Outlook, Gmail, Microsoft 365, Google Workspace, CRM systems or internal company tools.

Most extensions are legitimate. The problem is that people often install them, forget about them and leave them running for years.

Security researchers regularly highlight cases where browser extensions are sold to new developers, updated with malicious code, or granted far broader permissions than users realise.

Reviewing extensions periodically helps reduce unnecessary access to sensitive business data.

How To Check Extensions In Google Chrome

– Open Chrome.

– Click the three-dot menu in the top-right corner.

– Select Extensions.

– Click Manage Extensions.

You will now see a list of all installed extensions.

For each extension you can:

– Turn it off using the toggle switch.

– Click Remove to uninstall it.

– Select Details to see what permissions it has, including whether it can read data on websites you visit.

If you do not recognise an extension or no longer use it, removing it is usually the safest option.

How To Check Extensions In Microsoft Edge

– Open Microsoft Edge.

– Click the three-dot menu in the top-right corner.

– Select Extensions.

– Choose Manage extensions.

You will see all installed extensions.

From here you can:

– Disable extensions using the toggle switch.

– Click Remove to uninstall them.

– Select Details to view the permissions each extension has.

Edge also shows which extensions are allowed to read and change site data, helping you decide whether they should remain installed.

What To Look For

When reviewing extensions, pay particular attention to:

– Tools you installed once but no longer use.

– Old productivity or AI tools you were testing.

– Screenshot or PDF utilities you forgot about.

– Extensions you do not recognise.

– Anything with permission to read and change all website data.

Removing unnecessary extensions reduces the number of third-party tools that can interact with the information displayed in your browser.

A Practical Approach

Set a reminder every few months to review your browser extensions.

Most business users discover several extensions they no longer need. Removing them is a simple way to improve security and keep your browser running efficiently.