Elon Musk has brought in a group of young engineers, many with little government experience, to reshape the US federal infrastructure. Among them is Gavin Kliger, a 2020 University of California graduate, who now serves as a special adviser at the Office of Personnel Management. Previously a senior software engineer at AI startup Databrinks, Kliger has also worked at Twitter. His online writings reflect a scepticism towards established political structures, and he has defended figures like Matt Gaetz while promoting controversial policy ideas.
Luke Farritor, another key figure, was a former SpaceX intern and a Thiel Fellow. He worked on software for rocket components and gained recognition for helping decipher an ancient Greek scroll. Reports indicate he has been granted access to USAID systems and is listed as an engineer in the Department of Health and Human Services. He and Musk’s aides have also sought entry into systems managing over $1 trillion in government contracts and payments.
Edward Coristine, the youngest of the group, appears to have only recently graduated from high school and was briefly enrolled at Northeastern University. He spent three months at Neuralink, Musk’s brain-interface company, and is now listed as an ‘expert’ in government records. Business filings link him to several tech ventures, including a company named Tesla.Sexy LLC, which remains active.
Musk’s influence on federal operations continues to expand as his team gains access to critical government systems. A US Office of Personnel Management spokeswoman declined to comment on the appointments.
US authorities are considering whether to add Chinese online retailers Shein and Temu to the Department of Homeland Security’s forced labour list, according to a Semafor report. The Trump administration has not reached a final decision and may opt against the move, sources said.
Both companies strongly denied any involvement in forced labour. Shein stated it complies fully with the US Uyghur Forced Labor Prevention Act, while Temu emphasised its strict prohibition of involuntary labour through its Third-Party Code of Conduct.
Discussions on the retailers’ status come as tensions between the US and China escalate. Beijing recently imposed targeted tariffs on US imports and warned companies such as Google about possible sanctions, responding to the latest trade measures introduced by Washington.
A trial in Sutton is using AI sensors to monitor the well-being of vulnerable people in their homes. The system tracks movement, temperature, and appliance usage to identify patterns and detect unusual activity, such as a missed meal or a fall. The initiative aims to allow individuals to live independently for longer while providing reassurance to their loved ones.
Margaret Linehan, 86, who has dementia, is one of over 1,200 residents using the system. She described it as a valuable safety net, helping alert her family if something is amiss. Her daughter-in-law, Marianne, can check an app to monitor activity and receive alerts. On one occasion, when Margaret got up for a cup of tea in the middle of the night, the system notified her son, highlighting its ability to detect unexpected behaviour.
The AI-powered technology, which does not use cameras or microphones, has already detected over 1,800 falls in the past year, enabling rapid responses from care teams. Sutton Council is trialling the system as part of a wider government initiative exploring AI’s role in improving public services. Experts hope the technology will revolutionise social care by providing proactive support while ensuring people’s privacy and independence.
Google’s X has spun out a new startup, Heritable Agriculture, which applies AI to revolutionise plant breeding. Using machine learning, the company analyses plant genomes to identify combinations that enhance yields, reduce water consumption, and increase carbon storage in soil.
The startup was founded by Brad Zamft, a former Google X researcher with a background in physics and biotech. Under his leadership, Heritable has tested thousands of plants using AI-powered models, running experiments in controlled growth chambers and field sites across the United States. Unlike gene-editing firms, Heritable focuses on refining traditional breeding methods rather than modifying DNA directly.
The company has secured investment from FTW Ventures, Mythos Ventures, and Google itself, though financial details remain undisclosed. As it steps into independence, Heritable Agriculture aims to commercialise its AI-driven approach, potentially reshaping the future of sustainable farming.
EssilorLuxottica announced on Monday that it has received approval from the US Food and Drug Administration (FDA) for its Nuance audio glasses, a groundbreaking product that combines hearing solutions with prescription eyewear. Nuance will be available in the US and Italy in the first quarter of this year, with a planned launch in France, Germany, and the UK by mid-2025.
Chairman and CEO Francesco Milleri described the Nuance glasses as more than just a combination of two medical devices, calling them “entirely new smart glasses” that are both innovative and accessible. The company aims to provide this life-changing technology to the 1.25 billion people worldwide who suffer from mild to moderate hearing loss.
This launch marks a significant step for EssilorLuxottica as it expands its offerings beyond traditional eyewear, seeking to improve the lives of those with hearing impairments by making hearing solutions more readily available and convenient.
Alphabet’s self-driving unit, Waymo, has announced plans to expand testing of its autonomous driving technology into over 10 new cities by 2025. The company highlighted successful adaptation of its Waymo Driver system in diverse environments, encouraging this expansion. Current test sites include destinations such as Michigan’s Upper Peninsula and Tokyo, with new testing set to include San Diego and Las Vegas, among other yet-to-be-revealed locations.
The testing process will begin with manual driving through high-traffic and complex areas, including city centres and freeways. Trained human specialists will oversee the vehicles during this phase. Each city will host fewer than 10 vehicles for several months to collect data and refine the technology. Waymo previously expanded its autonomous ride-hailing service to Miami, Florida, as part of its broader strategy to capture market share in the competitive autonomous vehicle industry.
Waymo’s growth comes as the firm faces heightened scrutiny from regulators following incidents involving autonomous driving systems. In October, the company secured $5.6 billion in funding led by parent company Alphabet, aimed at bolstering its technological advancements and operational expansion.
General Motors is pivoting towards its advanced driver assistance system, Super Cruise, after shutting down its loss-making robotaxi business. The technology, similar to Tesla’s Autopilot, enables hands-free driving and is now available on around 20 high-end models, including Cadillacs and large SUVs. GM expects the system to generate $2 billion in annual revenue within five years.
Unlike traditional car sales, Super Cruise provides an ongoing revenue stream through subscriptions. Customers receive three years of free access before being charged $25 per month or $250 per year. The technology relies on a sophisticated combination of cameras, radar, and driver-monitoring sensors to ensure safety, offering a more robust system than Tesla’s.
Despite this push into software-driven revenue, GM’s stock has yet to see the kind of growth Tesla enjoys. Investors remain cautious, especially amid concerns over potential tariffs on Canada and Mexico. However, CEO Mary Barra remains optimistic, aiming to double the number of Super Cruise-enabled vehicles in 2025 and significantly increase subscription renewals.
SoftBank is set to invest $500 million in SkildAI, a fast-growing AI robotics startup, at a valuation of $4 billion. The company, founded just two years ago, specialises in building AI models that can be adapted for different robotic applications. Previous investors include Jeff Bezos, Lightspeed Venture Partners, and Coatue Management, who contributed to a $300 million round last July.
The investment comes amid surging interest in AI-powered robotics, with major backers like Bezos ramping up funding in the sector. Startups such as Physical Intelligence and Figure AI have also secured hundreds of millions in recent months to develop advanced robotic “brains” and humanoid robots.
SkildAI’s latest funding highlights the growing competition in AI-driven automation, with investors betting on smarter, more adaptable robots. As demand for robotics expands across industries, firms like SkildAI are positioning themselves at the forefront of this technological revolution.
Figure AI has announced the creation of the Centre for the Advancement of Humanoid Safety, a new initiative aimed at ensuring humanoid robots can operate safely in workplaces. Led by former Amazon Robotics safety engineer Rob Gruendel, the centre will focus on testing AI-controlled robots for stability, human detection, and navigation to minimise accidents.
The rise of humanoid robots in warehouses and factories has sparked concerns about their potential risks. Unlike traditional industrial robots, which were confined to cages, these machines move freely among workers, raising safety questions. Existing solutions, such as Amazon’s wearable safety vest and Veo Robotics’ vision-based systems, have helped, but regulation remains largely absent.
Figure AI plans to release regular safety reports detailing its progress, testing methods, and solutions for potential hazards. As companies push to integrate humanoid robots into daily operations, and eventually, into homes, the need for clear safety standards is becoming increasingly urgent.
The digital revolution has brought in remarkable innovations, and quantum computing is emerging as one of its brightest stars. As this technology begins to showcase its immense potential, questions are being raised about its impact on blockchain and cryptocurrency. With its ability to tackle problems thought to be unsolvable, quantum computing is redefining the limits of computational power.
At the same time, its rapid advancements leave many wondering whether it will bolster the crypto ecosystem or undermine its security and decentralised nature. Can this computing breakthrough empower crypto, or does it pose a threat to its very foundations? Let’s dive deeper.
What is quantum computing?
Quantum computing represents a groundbreaking leap in technology. Unlike classical computers that process data in binary (0s and 1s), quantum computers use qubits, capable of existing in multiple states simultaneously due to quantum phenomena such as superposition and entanglement.
For example, Google’s new chip, Willow, is claimed to solve a problem in just five minutes—a task that would take the world’s fastest supercomputers approximately ten septillion years—highlighting the extraordinary power of quantum computing and fuelling further debate about its implications.
These advancements enable quantum machines to handle problems with countless variables, benefiting fields such as electric vehicles, climate research, and logistics optimisation. While quantum computing promises faster, more efficient processing, its intersection with blockchain technology adds a layer of complexity so the story takes an interesting twist.
How does quantum computing relate to blockchain?
Blockchain technology relies on cryptographic protocols to secure transactions and ensure decentralisation. Cryptocurrencies like Bitcoin and Ethereum use elliptic curve cryptography (ECC)to safeguard wallets and transactions through mathematical puzzles that classical computers cannot solve quickly.
Quantum computers pose a significant challenge to these cryptographic foundations. Their advanced processing power could potentially expose private keys or alter transaction records, threatening the trustless environment that blockchain depends upon.
Opportunities: Can crypto benefit from quantum computing?
While the risks are concerning, quantum computing offers several opportunities to revolutionise blockchain:
Enhanced security: Developers can leverage quantum principles to create stronger, quantum-secure algorithms.
Smarter decentralisation: Quantum-powered computations could enhance the functionality of smart contracts and decentralised apps (DApps).
By embracing quantum advancements, the blockchain industry could evolve to become more robust and scalable— hopefully great news for the crypto community, which is optimistic about the potential for progress.
How does quantum computing threaten cryptocurrency?
Despite its potential benefits, quantum computing poses significant risks to the cryptocurrency ecosystem, depending on how it is used and who controls it:
Breaking public key cryptography Quantum computers equipped with Shor’s algorithm can decrypt ECC and RSA encryption. Tasks that would take classical computers millennia could be accomplished by a quantum computer in mere hours. This capability threatens to expose private keys, allowing hackers to access wallets and steal funds.
Mining oligopoly The mining process, vital for cryptocurrency creation and transaction validation, depends on computational difficulty. Quantum computers could dominate mining activities, disrupting the decentralisation and fairness fundamental to blockchain systems.
Dormant wallet risks Wallets with exposed public keys, particularly older ones, are at heightened risk. A quantum attack could compromise these funds before users can adopt protective measures.
With projections suggesting that quantum computers capable of breaking current encryption standards could emerge within 10–20 years—or perhaps even sooner—the urgency to address these threats is intensifying.
Solutions: Quantum-resistant tokens and cryptography
Where there is a challenge, there is a solution. The crypto industry is proactively addressing quantum threats with quantum-resistant tokens and post-quantum cryptography. Lattice-based cryptography, for example, creates puzzles too complex for quantum computers, with projects like CRYSTALS-Kyber leading the charge. Hash-based methods, such as QRL’s XMSS, ensure data integrity, while code-based cryptography, like the McEliece system, uses noisy signals to protect messages. Multivariate polynomial cryptography also adds robust defences through complex equations.
As we can see, promising solutions are already actively working to uphold blockchain principles. These innovations are crucial not only for securing crypto assets but also for maintaining the integrity of blockchain networks. Quantum-resistant measures ensure that transaction records remain immutable, safeguarding the trust and transparency that decentralised systems are built upon.
The quantum future for crypto
Quantum computing holds tremendous promise for humanity, but it also brings challenges, particularly for blockchain and cryptocurrency. As its capabilities grow, the risks to existing cryptographic protocols become more apparent. However, the crypto community has shown remarkable resilience, with quantum-resistant technologies already being developed to secure the ecosystem. This cycle of threats and solutions is a perpetual motion—each technological advancement introduces new vulnerabilities, met with equally innovative defences. It is the inevitable price to pay for embracing the modern decentralised finance era and the transformative potential it brings.
The future of crypto does not have to be at odds with quantum advancements. With proactive innovation, collaboration, and the implementation of quantum-safe solutions, blockchain can survive and thrive in the quantum era. So, is quantum computing a threat to cryptocurrency? The answer lies in our ability to adapt. After all, with great power comes great responsibility—and opportunity.
