Iran’s digital economy suffers heavy losses from internet shutdowns

Iran’s Minister of Communications has revealed the country’s digital economy shrank by 30% in just one month, losing around $170 million due to internet restrictions imposed during its recent 12-day conflict with Israel.

Sattar Hashemi told parliament on 22 July that roughly 10 million Iranians rely on digital jobs, but widespread shutdowns caused severe disruptions across platforms and services.

Hashemi estimated that every two days of restrictions inflicted 10 trillion rials in losses, totalling 150 trillion rials — an amount he said rivals the annual budgets of entire ministries.

While acknowledging the damage, he clarified that his ministry was not responsible for the shutdowns, attributing them instead to decisions made by intelligence and security agencies for national security reasons.

Alongside the blackouts, Iran endured over 20,000 cyberattacks during the conflict. Many of these targeted banks and payment systems, with platforms for Bank Sepah and Bank Pasargad knocked offline, halting salaries for military personnel.

Hacktivist groups such as Predatory Sparrow and Tapandegan claimed credit for the attacks, with some incidents reportedly wiping out crypto assets and further weakening the rial by 12%.

Lawmakers are now questioning the unequal structure of internet access. Critics have accused the government of enabling a ‘class-based internet’ in which insiders retain full access while the public faces heavy censorship.

MP Salman Es’haghi warned that Iran’s digital future cannot rely on filtered networks, demanding transparency about who benefits from unrestricted use.

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NASA hacks Jupiter probe camera to recover vital images

NASA engineers have revealed they remotely repaired a failing camera aboard the Juno spacecraft orbiting Jupiter using a bold heating technique known as annealing.

Instead of replacing the hardware, which was impossible given the 595 million kilometre distance from Earth, the team deliberately overheated the camera’s internals to reverse suspected radiation damage.

JunoCam, designed to last only eight orbits, surprisingly survived over 45 before image quality deteriorated on the 47th. Engineers suspected a voltage regulator fault and chose to heat the camera to 77°F, altering the silicon at a microscopic level.

The risky fix temporarily worked, but the issue resurfaced, prompting a second annealing at maximum heat just before a close flyby of Jupiter’s moon Io in late 2023.

The experiment’s success encouraged further tests on other Juno instruments, offering valuable insights into spacecraft resilience. Although NASA didn’t confirm whether these follow-ups succeeded, the effort highlighted the increasing need for in-situ repairs as missions explore deeper into space.

While JunoCam resumed high-quality imaging up to orbit 74, new signs of degradation have since appeared. NASA hasn’t yet confirmed whether another fix is planned or if the camera’s mission has ended.

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Surging AI use drives utility upgrades

The rapid rise of AI is placing unprecedented strain on the US power grid, as the electricity demands of massive data centres continue to surge.

Utilities nationwide are struggling to keep up, expanding infrastructure and revising rate structures to accommodate an influx of power-hungry facilities.

Regions like Northern Virginia have become focal points, where dense data centre clusters consume tens of megawatts each and create years-long delays for new connections.

Some next-generation AI systems are expected to require between 1 and 5 gigawatts of constant power, roughly the output of multiple Hoover Dams, posing significant challenges for energy suppliers and regulators alike.

In response, tech firms and utilities are considering a mix of solutions, including on-site natural gas generation, investments in small nuclear reactors, and greater reliance on renewable sources.

At the federal level, streamlined permitting and executive actions are used to fast-track grid and plant development.

‘The scale of AI’s power appetite is unprecedented,’ said Dr Elena Martinez, senior grid strategist at the Centre for Energy Innovation. ‘Utilities must pivot now, combining smart-grid tech, diverse energy sources and regulatory agility to avoid systemic bottlenecks.’

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How to keep your data safe while using generative AI tools

Generative AI tools have become a regular part of everyday life, both professionally and personally. Despite their usefulness, concern is growing about how they handle private data shared by users.

Major platforms like ChatGPT, Claude, Gemini, and Copilot collect user input to improve their models. Much of this data handling occurs behind the scenes, raising transparency and security concerns.

Anat Baron, a generative AI expert, compares AI models to Pac-Man—constantly consuming data to enhance performance. The more information they receive, the more helpful they become, often at the expense of privacy.

Many users ignore warnings not to share sensitive information. Baron advises against sharing anything with AI that one would not give to a stranger, including ID numbers, financial data, and medical results.

Some platforms offer options to reduce data collection. ChatGPT users can disable training under ‘Data Controls’, while Claude collects data only if users opt in. Perplexity and Gemini offer similar, though less transparent, settings.

Microsoft’s Copilot protects organisational data when logged in, but risks increase when used anonymously on the web. DeepSeek, however, collects user data automatically with no opt-out—making it a risky choice.

Users still retain control, but must remain alert. AI tools are evolving, and with digital agents on the horizon, safeguarding personal information is becoming even more critical. Baron sums it up simply: ‘Privacy always comes at a cost. We must decide how much we’re willing to trade for convenience.’

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ChatGPT stuns users by guessing object in viral video using smart questions

A video featuring ChatGPT Live has gone viral after it correctly guessed an object hidden in a user’s hand using only a series of questions.

The clip, shared on the social media platform X, shows the chatbot narrowing down its guesses until it lands on the correct answer — a pen — within less than a minute. The video has fascinated viewers by showing how far generative AI has come since its initial launch.

Multimodal AI like ChatGPT can now process audio, video and text together, making interactions more intuitive and lifelike.

Another user attempted the same challenge with Gemini AI by holding an AC remote. Gemini described it as a ‘control panel for controlling temperature’, which was close but not entirely accurate.

The fun experiment also highlights the growing real-world utility of generative AI. During Google’s I/O conference during the year, the company demonstrated how Gemini Live can help users troubleshoot and repair appliances at home by understanding both spoken instructions and visual input.

Beyond casual use, these AI tools are proving helpful in serious scenarios. A UPSC aspirant recently explained how uploading her Detailed Application Form to a chatbot allowed it to generate practice questions.

She used those prompts to prepare for her interview and credited the AI with helping her boost her confidence.

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New AI device brings early skin cancer diagnosis to remote communities

A Scottish research team has developed a pioneering AI-powered tool that could transform how skin cancer is diagnosed in some of the world’s most isolated regions.

The device, created by PhD student Tess Watt at Heriot-Watt University, enables rapid diagnosis without needing internet access or direct contact with a dermatologist.

Patients use a compact camera connected to a Raspberry Pi computer to photograph suspicious skin lesions.

The system then compares the image against thousands of preloaded examples using advanced image recognition and delivers a diagnosis in real time. These results are then shared with local GP services, allowing treatment to begin without delay.

The self-contained diagnostic system is among the first designed specifically for remote medical use. Watt said that home-based healthcare is vital, especially with growing delays in GP appointments.

The device, currently 85 per cent accurate, is expected to improve further with access to more image datasets and machine learning enhancements.

The team plans to trial the tool in real-world settings after securing NHS ethical approval. The initial rollout is aimed at rural Scottish communities, but the technology could benefit global populations with poor access to dermatological care.

Heriot-Watt researchers also believe the device will aid patients who are infirm or housebound, making early diagnosis more accessible than ever.

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Meta CEO unveils plan to spend hundreds of billions on AI data centres

Mark Zuckerberg has pledged to invest hundreds of billions of dollars to build a network of massive data centres focused on superintelligent AI. The initiative forms part of Meta’s wider push to lead the race in developing machines capable of outperforming humans in complex tasks.

The first of these centres, called Prometheus, is set to launch in 2026. Another facility, Hyperion, is expected to scale up to 5 gigawatts. Zuckerberg said the company is building several more AI ‘titan clusters’, each one covering an area comparable to a significant part of Manhattan.

He also cited Meta’s strong advertising revenue as the reason it can afford such bold spending despite investor concerns.

Meta recently regrouped its AI projects under a new division, Superintelligence Labs, following internal setbacks and high-profile staff departures.

The company hopes the division will generate fresh revenue streams through Meta AI tools, video ad generators, and wearable smart devices. It is reportedly considering dropping its most powerful open-source model, Behemoth, in favour of a closed alternative.

The firm has increased its 2025 capital expenditure to up to $72 billion and is actively hiring top talent, including former Scale AI CEO Alexandr Wang and ex-GitHub chief Nat Friedman.

Analysts say Meta’s AI investments are paying off in advertising but warn that the real return on long-term AI dominance will take time to emerge.

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Isambard-AI launch brings Britain closer to AI breakthroughs

The UK’s most powerful AI supercomputer, Isambard-AI, has officially launched in Bristol. Developed with HPE and NVIDIA, the £225 million system marks a major step in national research capability.

It can compute in one second what the global population would take 80 years to process. Housed at the National Composites Centre, it aims to drive breakthroughs in healthcare, robotics, climate science and more.

Built by the University of Bristol’s Centre for Supercomputing, the machine is part of the UK Government’s AI Research Resource (AIRR) and was launched by Science Secretary Peter Kyle.

Alongside the Dawn supercomputer in Cambridge, Isambard-AI will deliver 23 AI ExaFLOPs — equal to the UK population working non-stop for 85,000 years. It is 100,000 times faster than an average laptop and supports drug discovery, personalised medicine and advanced data analysis.

Powered by 5,400 Nvidia GH200 Grace Hopper Superchips and HPE’s Cray EX platform, it is among the greenest supercomputers globally, running on zero-carbon electricity and using direct liquid cooling to cut energy use by up to 90%.

Plans are underway to reuse its waste heat for nearby homes and businesses. Its sustainable design cuts emissions by 72% versus traditional builds.

The University of Bristol, chosen for its AI and HPC expertise, also offers a government-backed master’s through the Sparck AI scholarship. Vice-Chancellor Professor Evelyn Welch called the launch a milestone for British AI.

Researchers are already using Isambard-AI to analyse data from wearable cameras for assisted living support, and to scan MRI data to speed up cancer detection and treatment planning.

Other teams are modelling disease-related proteins and using AI to detect illness in dairy cattle by monitoring herd behaviour — showing the system’s broad real-world impact.

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GPT-5 to launch soon as OpenAI showcases major AI milestone

OpenAI’s experimental language model has reached a noteworthy milestone in AI by performing at a gold medal level in the 2025 International Math Olympiad (IMO), one of the world’s most challenging competitions.

The model solved five out of six problems under the same timed and tool-free conditions as human participants, earning 35 out of 42 possible points. Three former IMO medalists evaluated each solution to ensure fairness and accuracy.

The achievement marks a leap in AI’s reasoning capabilities, with the model demonstrating the ability to tackle complex problems requiring hours of sustained creative thinking.

Researcher Alexander Wei noted the significance of this progress, tracing the model’s development through reasoning benchmarks from fundamental arithmetic problems to Olympiad-level tasks demanding far deeper cognitive effort.

Despite the breakthrough, the model is not expected to be released to the public anytime soon. OpenAI clarified that the IMO-capable model is part of an internal research track, distinct from its upcoming release of GPT-5.

According to Wei, GPT-5 will arrive soon but will not yet contain the same advanced mathematics capabilities.

In parallel, Hyperbolic Labs co-founder Yuchen Jin hinted that GPT-5 will operate as a multi-model system with dynamic routing, automatically selecting the most appropriate sub-model based on user input. Jin also noted that GPT-6 is already in training, suggesting rapid, continued progress in AI development.

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Meta lures AI leaders as Apple faces instability

Meta has hired two senior AI researchers from Apple, Mark Lee and Tom Gunter, as part of its ongoing effort to attract top talent in AI, according to Bloomberg.

Instead of staying within Apple’s ranks, both experts have joined Meta’s Superintelligence Labs, following Ruoming Pang, Apple’s former head of large language model development, whom Meta recently secured with a reported compensation package worth over $200 million.

Gunter, once a distinguished engineer at Apple, briefly worked for another AI firm before accepting Meta’s offer.

The moves reflect increasing instability inside Apple’s AI division, where leadership is reportedly exploring partnerships with external providers like OpenAI to power future Siri features rather than relying solely on in-house solutions.

Meta’s aggressive hiring strategy comes as CEO Mark Zuckerberg prioritises AI development, pledging substantial investment in talent and computing power to rival companies such as OpenAI and Google.

Some Apple employees have been presented with counteroffers, but these reportedly fail to match the scale of Meta’s packages.

Instead of slowing down, Meta appears determined to solidify its position as a leader in AI research, continuing to lure key experts away from competitors while Apple faces challenges retaining its top engineers.

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