Development

General Motors unveils AI and robotics innovations for next-generation vehicles

General Motors showcased AI, robotics, and software at GM Forward, showing how cars are becoming intelligent assistants. CEO Mary Barra unveiled advances in autonomy, AI, computing, and energy, signalling a move toward smarter, safer, and more personalised vehicles.

GM plans to bring eyes-off driving to market in 2028, debuting on the Cadillac ESCALADE IQ electric SUV. The company has already mapped 600,000 miles of hands-free roads in North America, with Super Cruise drivers completing 700 million miles without a crash attributed to the system.

Cruise’s driverless technology adds over five million fully autonomous miles of experience, forming the foundation for GM’s next phase of personal autonomy.

Vehicles will also feature conversational AI powered by Google Gemini from next year, allowing drivers to interact naturally with their car. In the future, GM plans to introduce its own AI, fine-tuned to individual vehicles and driver preferences via OnStar.

A new centralised computing platform, launching in 2028, will integrate propulsion, steering, infotainment, and safety on a single high-speed core, increasing update capacity, bandwidth, and AI performance dramatically.

GM is also advancing robotics at its Autonomous Robotics Center and Mountain View lab. Collaborative robots trained on decades of production data are being deployed in US assembly plants to improve efficiency, safety, and workplace quality.

Additionally, GM’s EVs can provide backup power to homes and, from 2026, to the electrical grid, supported by an integrated home energy system and smartphone app. Together, these innovations mark a significant step toward intelligent, personalised, and sustainable mobility.

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UK data stays in the UK as OpenAI rolls out residency

OpenAI will offer UK data residency for API Platform, ChatGPT Enterprise, and ChatGPT Edu from October 24. The option, announced by Deputy PM David Lammy, is tied to a Ministry of Justice partnership. The government says it boosts privacy, security, and resilience for public services and business.

Lammy will unveil the ‘sovereign capability’ at OpenAI Frontiers, citing early MoJ efficiency gains. Over 1,000 probation officers will use Justice Transcribe to record and auto-transcribe offender meetings. Hours of admin shift to AI so staff can focus on supervision and public protection.

OpenAI CEO Sam Altman says UK usage has quadrupled in the past year. The company pitches AI as a way to save time and lift productivity across sectors. MoJ pilots have sparked interest from other departments, with broader adoption expected.

Data residency is a key blocker for regulated sectors, and this move aims to address that gap. Keeping data within the UK can simplify compliance and reduce perceived risk. It also underpins continuity plans by localising sensitive workloads.

ChatGPT Atlas, an AI-first web browser, was also announced this week. Its arrival could nudge users away from keyword searches toward conversational answers. OpenAI faces rivals Anthropic, Perplexity, and big tech incumbents in that shift.

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AI leaders call for a global pause in superintelligence development

More than 850 public figures, including leading computer scientists Geoffrey Hinton and Yoshua Bengio, have signed a joint statement urging a global slowdown in the development of artificial superintelligence.

The open letter warns that unchecked progress could lead to human economic displacement, loss of freedom, and even extinction.

An appeal that follows growing anxiety that the rush toward machines surpassing human cognition could spiral beyond human control. Alan Turing predicted as early as the 1950s that machines might eventually dominate by default, a view that continues to resonate among AI researchers today.

Despite such fears, global powers still view the AI race as essential for national security and technological advancement.

Tech firms like Meta are also exploiting the superintelligence label to promote their most ambitious models, while leaders such as OpenAI’s Sam Altman and Microsoft’s Mustafa Suleyman have previously acknowledged the existential risks of developing systems beyond human understanding.

The statement calls for an international prohibition on superintelligence research until there is a broad scientific consensus on safety and public approval.

Its signatories include technologists, academics, religious figures, and cultural personalities, reflecting a rare cross-sector demand for restraint in an era defined by rapid automation.

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ChatGPT faces EU’s toughest platform rules after 120 million users

OpenAI’s ChatGPT could soon face the EU’s strictest platform regulations under the Digital Services Act (DSA), after surpassing 120 million monthly users in Europe.

A milestone that places OpenAI’s chatbot above the 45 million-user threshold that triggers heightened oversight.

The DSA imposes stricter obligations on major platforms such as Meta, TikTok, and Amazon, requiring greater transparency, risk assessments, and annual fees to fund EU supervision.

The European Commission confirmed it has begun assessing ChatGPT’s eligibility for the ‘very large online platform’ status, which would bring the total number of regulated platforms to 26.

OpenAI reported that its ChatGPT search function alone had 120.4 million monthly active users across the EU in the six months ending 30 September 2025. Globally, the chatbot now counts around 700 million weekly users.

If designated under the DSA, ChatGPT would be required to curb illegal and harmful content more rigorously and demonstrate how its algorithms handle information, marking the EU’s most direct regulatory test yet for generative AI.

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Crypto hiring snaps back as AI cools

Tech firms led crypto’s hiring rebound, adding over 12,000 roles since late 2022, according to A16z’s State of Crypto 2025. Finance and consulting contributed 6,000, offsetting talent pulled into AI after ChatGPT’s debut. Net, crypto gained 1,000 positions as workers rotated in from tech, fintech, and education.

The recovery tracks a market turn: crypto capitalisation topping US$4T and new Bitcoin highs. A friendlier US policy stance on stablecoins and digital-asset oversight buoyed sentiment. Institutions from JPMorgan to BlackRock and Fidelity widened offerings beyond pilots.

Hiring is diversifying beyond developers toward compliance, infrastructure, and product. Firms are moving from proofs of concept to production systems with clearer revenue paths. Result: broader role mix and steadier talent pipelines.

A16z contrasts AI centralisation with crypto’s open ethos. OpenAI/Anthropic dominate AI-native revenue; big clouds hold most of the infrastructure share; NVIDIA leads GPUs. Crypto advocates pitch blockchains as a counterweight via verifiable compute and open rails.

Utility signals mature, too. Stablecoins settled around US$9T in 12 months, up 87% year over year. That’s over half of Visa’s annual volume and five times that of PayPal’s.

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Kazakhstan to achieve full Internet access for all citizens by 2027

Kazakhstan aims to provide Internet access to its entire population by 2027 as part of the national ‘Affordable Internet’ project.

Deputy Prime Minister and Minister of AI and Digital Development Zhaslan Madiyev outlined the country’s digital transformation goals during a government session, highlighting plans to eliminate digital inequality and expand broadband connectivity.

Over one trillion tenge has been invested in telecommunications in the past three years, bringing average Internet speeds to 94 Mbps. By 2027, Kazakhstan expects to achieve 100% Internet coverage, speeds above 100 Mbps, and fiber-optic access for 90% of rural settlements.

Currently, 84% of villages already have mobile Internet, and 2,606 are connected to main fibre-optic lines.

The plan includes 4G coverage for 92% of settlements, 5G deployment in 20 cities, and 4G connectivity across 40,000 km of highways. Satellite Internet will reach 504 remote villages by 2025.

Madiyev also noted Kazakhstan’s strategic role in global data transit, with projects such as the Caspian Sea undersea fibre-optic line aiming to raise its share of international traffic from 1.5% to 5% by 2027.

An initiative that supports Kazakhstan’s ambition to become a regional IT hub by 2030, with the number of IT racks set to grow from 4,000 to 20,000, and at least nine Tier III-IV data centres planned.

The country has also launched the National Supercomputer Center ‘alem.cloud’ and the ‘Al-Farabium’ tech cluster to strengthen its digital ecosystem.

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CMC pegs JLR hack at £1.9bn with 5,000 firms affected

JLR’s cyberattack is pegged at £1.9bn, the UK’s costliest on record. Production paused for five weeks from 1 September across Solihull, Halewood, and Wolverhampton. CMC says 5,000 firms were hit, with full recovery expected by January 2026.

JLR is restoring manufacturing in phases and declined to comment on the estimate. UK dealer systems were intermittently down, orders were cancelled or delayed, and suppliers faced uncertainty. More than half of the losses fall on JLR; the remainder hits its supply chain and local economies.

The CMC classed the incident as Category 3 on its five-level scale. Chair Ciaran Martin warned organisations to harden critical networks and plan for disruption. The CMC’s assessment draws on public data, surveys, and interviews rather than on disclosed forensic evidence.

Researchers say costs hinge on the attack type, which JLR has not confirmed. Data theft is faster to recover than ransomware; wiper malware would be worse. A claimed hacker group linked to earlier high-profile breaches is unverified.

The CMC’s estimate excludes any ransom, which could add tens of millions of dollars. Earlier this year, retail hacks at M&S, the Co-op, and Harrods were tagged Category 2. Those were pegged at £270m–£440m, below the £506m cited by some victims.

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Europa chip by Axelera targets NVIDIA’s grip on AI accelerators

Axelera AI has introduced Europa, a new processor built to run modern AI apps on everything from small edge devices to full servers. It focuses on practical speed and low power use. The aim is to offer NVIDIA-rivaling performance without data centre-level budgets.

Inside are eight AI cores that do the heavy lifting, positioned to challenge NVIDIA’s lead in real-world inference. Helper processors handle setup and cleanup so the main system isn’t slowed down. A built-in video decoder offloads common media jobs.

Europa pairs fast on-chip memory with high-bandwidth external memory to cut common AI slowdowns. Axelera says this beats NVIDIA on speed per watt and per dollar in everyday inference. The payoff is cooler, smaller, more affordable deployments.

It ships as a tiny 35×35 mm module or as PCIe accelerator cards that scale up. That’s the same slot where NVIDIA cards often sit today. A built-in secure enclave protects sensitive data.

Research and industry partners are lining up pilots, casting Europa as a real NVIDIA rival. Early names include SURF, Cineca, Ultralytics, Advantech, SECO, Multiverse Computing, and E4. Axelera targets the first half of 2026 for chips and cards.

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USB inventor and Phison CEO warns of an AI storage crunch

Datuk Pua Khein-Seng, inventor of the single-chip USB flash drive and CEO of Phison, warns that AI machines will generate 1,000 times more data than humans. He says the real bottleneck isn’t GPUs but memory, foreshadowing a global storage crunch as AI scales.

Speaking at GITEX Global, Pua outlined Phison’s focus on NAND controllers and systems that can expand effective memory. Adaptive tiering across DRAM and flash, he argues, will ease constraints and cut costs, making AI deployments more attainable beyond elite data centres.

Flash becomes the expansion valve: DRAM stays scarce and expensive, while high-end GPUs are over-credited for AI cost overruns. By intelligently offloading and caching to NAND, cheaper accelerators can still drive useful workloads, widening access to AI capacity.

Cloud centralisation intensifies the risk. With the US and China dominating the AI cloud market, many countries lack the capital and talent to build sovereign stacks. Pua calls for ‘AI blue-collar’ skills to localise open source and tailor systems to real-world applications.

Storage leadership is consolidating in the US, Japan, Korea, and China, with Taiwan rising as a fifth pillar. Hardware strength alone won’t suffice, Pua says; Taiwan must close the AI software gap to capture more value in the data era.

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Suzanne Somers lives on in an AI twin

Alan Hamel says he’s moving ahead with a ‘Suzanne AI Twin’ to honor Suzanne Somers’ legacy. The project mirrors plans the couple discussed for decades. He shared an early demo at a recent conference.

Hamel describes the prototype as startlingly lifelike. He says side-by-side, he can’t tell real from AI. The goal is to preserve Suzanne’s voice, look, and mannerisms.

Planned uses include archival storytelling, fan Q&As, and curated appearances. The team is training the model on interviews, performances, and writings. Rights and guardrails are being built in.

Supporters see a new form of remembrance. Critics warn of deepfake risks and consent boundaries. Hamel says fidelity and respect are non-negotiable.

Next steps include wider testing and a controlled public debut. Proceeds could fund causes Suzanne championed. ‘It felt like talking to her,’ Hamel says.

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