At London Tech Week, Nvidia CEO Jensen Huang made a striking statement: “The way you program an AI is like the way you program a person.” (Do we really program people or do we teach)?
This marks a fundamental shift in how we interact with artificialintelligence, moving away from traditional coding languages and towards natural human communication.
Historically, programming required specialised knowledge of languages like C++ or Python. Developers had to meticulously craft instructions for computers to follow.
Huang argues that AI has now evolved to understand and respond to human language, making programming more intuitive and accessible.
This transformation is largely driven by advancements in conversational AI models, such as ChatGPT, Gemini, and Copilot.
These systems allow users to issue commands in plain English – whether asking an AI to generate images, write a poem, or even create software code. Instead of writing complex algorithms, users can simply ask nicely, much like instructing a colleague or student.
Huang’s analogy extends beyond convenience. Just as people learn through feedback and iteration, AI models refine their responses based on user input.
If an AI-generated poem isn’t quite right, users can prompt it to improve, and it will think and adjust accordingly.
This iterative process mirrors human learning, where guidance and refinement lead to better outcomes.
The implications of this shift are profound. AI is no longer just a tool for experts – it is a great equalizer, enabling anyone to harness computing power without technical expertise.
As businesses integrate AI into their workflows, employees will need to adapt, treating AI as a collaborative partner rather than a mere machine.
This evolution in AI programming is not just about efficiency; it represents a new era where technology aligns more closely with human thought and interaction.
Palantir Technologies has officially joined the ranks of the top 10 most valuable U.S. tech companies, marking a significant milestone in its growth trajectory.
The data analytics and artificial intelligence firm saw its stock surge 8%, pushing its market valuation to $281 billion, surpassing Salesforce.
Founded in 2003 by Peter Thiel and CEO Alex Karp, Palantir has long been known for its government contracts and defense-related software solutions.
Its recent success is largely attributed to a booming government business, which grew 45% last quarter, including a $178 million contract with the U.S. Army.
Despite its impressive market cap, Palantir remains a relatively small player in terms of revenue compared to its peers. Investors are paying a premium for its stock, which currently trades at 520 times trailing earnings, far exceeding industry averages.
Analysts have raised concerns about its valuation, questioning whether its rapid rise is sustainable in the long term.
Palantir’s ascent reflects the growing influence of AI-driven data analytics in both commercial and governmental sectors.
As it continues to expand, the company faces the challenge of proving its financial fundamentals can support its lofty valuation.
In its first sales forecast, Nintendo said it expects to sell 15 million Switch 2 units in the fiscal year ending March 2026.
The new console is due to go on sale in the U.S. June 2025.
Revenue and profit plunged in the fourth quarter, the Japanese video game company said, although this was largely expected as Nintendo fans await the Switch 2 launch.
The Switch 2 will start at $449.99 in the U.S. and has improved features compared with its predecessor.
Saudi Arabia is making bold moves in artificial intelligence with a major acquisition from Nvidia.
The tech giant will be sending more than 18,000 of its latest GB300 Blackwell AI chips to Saudi-based company Humain, in a deal that marks a significant step toward the nation’s ambitions to become a global AI powerhouse.
The announcement was made by Nvidia CEO Jensen Huang during the Saudi-U.S. Investment Forum in Riyadh, as part of a White House-led trip that included President Donald Trump and other top CEOs.
Humain, backed by Saudi Arabia’s Public Investment Fund, plans to use the chips to develop large-scale AI models and establish cutting-edge data centers.
The chips will be deployed in a 500-megawatt facility, making it one of the largest AI computing projects in the region. Nvidia’s Blackwell AI chips are among the most advanced in the industry, used in training sophisticated AI models and powering data-intensive applications.
Saudi Arabia’s investment in AI technology aligns with its long-term vision of transforming its economy beyond traditional industries. With plans to expand its data infrastructure and deploy several hundred thousand Nvidia GPUs in the future, the country is positioning itself as a major AI hub in the Middle East.
As AI continues to shape global industries, Saudi Arabia’s investment signals a broader shift in how nations are competing for dominance in the AI revolution.
Nvidia’s involvement underscores the strategic importance of AI chips, not just in business, but in international relations as well.
OpenAI on Monday 31st March 2025 announced it had closed its $40 billion funding round, the most ever raised by a private tech company.
The deal values OpenAI at $300 billion, including the new capital.
The round includes $30 billion from SoftBank and $10 billion from a syndicate of investors.
OpenAI is now more valuable than Chevron.
The generative AI market is projected to exceed $1 trillion in revenue within the next decade. Companies such as Google, Amazon, Anthropic, and Perplexity are rapidly unveiling new products and features as competition to develop ‘AI agents’ intensifies.
U.S. tech giants are making bold strides in the development of humanoid robots, signalling a transformative shift in the robotics industry
Companies like Tesla, Google, Microsoft, and Nvidia are investing heavily in this cutting-edge technology, aiming to create machines that mimic human movement and behaviour.
These humanoid robots are envisioned to revolutionise industries ranging from manufacturing to healthcare, offering solutions to labor shortages and enhancing productivity.
Tesla’s Optimus project is a prime example of this ambition. CEO Elon Musk has announced plans to produce thousands of these robots, designed to perform repetitive and physically demanding tasks.
Optimus robots are expected to integrate seamlessly into factory settings, reducing the need for human intervention in hazardous environments.
Similarly, Boston Dynamics, known for its agile robots, continues to push the boundaries of what humanoid machines can achieve, focusing on tasks that require precision and adaptability.
The integration of artificial intelligence (AI) is a driving force behind these advancements. AI enables robots to learn from their environments, adapt to new tasks, and interact with humans in more intuitive ways.
Companies like Nvidia are leveraging their expertise in AI and machine learning are helping to develop robots capable of complex decision-making and problem-solving.
However, challenges remain. High production costs, limited battery life, and safety concerns are significant hurdles that need to be addressed before humanoid robots can achieve widespread adoption.
Despite these obstacles, the potential benefits are immense. From assisting the elderly to performing intricate surgeries, humanoid robots could redefine the boundaries of human capability.
As U.S. tech giants continue to innovate, the race to dominate the humanoid robotics market intensifies.
Tesla Optimus Gen 2
With China and other nations also making significant investments, the competition is fierce. Analysts warn that U.S. firms could lose out to China, which aims to replicate its success with electric vehicles in the robotics space race.
The future of humanoid robots promises to be a fascinating blend of technology, creativity, and global collaboration
U.S. companies that may benefit from this AI humanoid tech advancement
Tesla: Known for its Optimus humanoid robot project, Tesla is pushing boundaries in robotics and AI.
Google (Alphabet): A leader in AI and robotics research, with projects aimed at enhancing humanoid capabilities.
Microsoft: Investing in AI technologies that support robotics and automation.
Nvidia: Provides advanced AI chips and systems crucial for humanoid robot development.
Boston Dynamics: Famous for its agile robots like Atlas, focusing on precision and adaptability.
Agility Robotics: Creator of Digit, a humanoid robot designed for logistics and manufacturing.
Meta (Facebook): Exploring humanoid robots for social and interactive applications.
Apple: Investing in robotics and AI for potential humanoid advancements.
Amazon: Developing robots like Astro for home monitoring and other tasks.
Figure AI: Innovating humanoid robots like Figure 02 for various industries.
Bill Gates on AI
Bill Gates has shared some fascinating insights about AI recently. He reportedly believes that within the next decade, AI will transform many industries, making specialised knowledge widely accessible.
For example, he predicts that AI could provide high-quality medical advice and tutoring, addressing global shortages of doctors and educators.
Gates has also described this shift as the ‘age of free intelligence,’ where AI becomes a commonplace tool integrated into everyday life. While he acknowledges the immense potential of AI to solve global challenges – like developing breakthrough treatments for diseases and innovative solutions for climate change – he also recognises the disruptive impact it could have on jobs and the workforce.
Despite these concerns, Gates remains optimistic about AI’s ability to drive innovation and improve lives.
He has emphasised that certain human activities, like playing sports or hosting talk shows, will likely remain uniquely human.
However, despite all these predictions from powerful tech leaders – it does beg the question, do these ultra rich CEOs predict the future, or simply make it?
What if Quantum Physics coincides and collides with the ‘full’ arrival of AI and humanoid robots
Quantum computing could enhance the capabilities of AI-powered robots by solving complex optimisation problems, improving machine learning algorithms, and enabling real-time decision-making.
For instance, robots equipped with quantum sensors could navigate intricate environments, detect subtle changes in their surroundings, and interact with humans in more intuitive ways.
This fusion could revolutionise industries such as healthcare, manufacturing, and space exploration. Imagine humanoid robots performing intricate surgeries with precision, managing large-scale logistics, or exploring distant planets with advanced problem-solving abilities.
However, this convergence also raises ethical and societal questions. The potential for such powerful technologies to disrupt industries, impact employment, and challenge privacy norms must be carefully managed.
Collaboration between scientists, policymakers, and ethicists will be crucial to ensure these advancements benefit humanity as a whole.
The intersection of quantum physics, AI, and humanoid robotics is not just a technological milestone – it’s a glimpse into a future where the boundaries of human capability and machine intelligence blur.
It’s an exciting, albeit complex future humans are creating.
But will AI surpass human intelligence – and if it does what then for the human civilisation?
China’s embrace of open-source artificial intelligence (AI) is revolutionising the global AI landscape, challenging traditional notions of innovation and competitiveness in this rapidly evolving field.
Traditionally, the AI sector has been dominated by proprietary models and closed-source systems, particularly in the U.S.
However, China has made a strategic pivot towards open-source initiatives, driven by trailblazers like the AI startup DeepSeek.
DeepSeek’s R1 model, released earlier this year, has become a symbol of China’s open-source movement. Distributed under the permissive MIT licence, the R1 model allows unrestricted use, modification and distribution.
This approach has disrupted traditional business models by democratising access to cutting-edge AI tools. Companies from tech giants like Baidu and Tencent to emerging players like ManusAI have followed suit, releasing their own open-source models and fostering a collaborative environment for AI innovation.
This shift is seen by some as China’s ‘Android moment’ in AI – a reference to the impact of Google’s open-source Android operating system on the mobile app ecosystem.
The move towards open-source has enabled rapid cost reductions, increased accessibility, and accelerated product development. Chinese firms have leveraged these advantages to narrow the perceived technological gap with the U.S., with some analysts suggesting that the disparity has shrunk from years to mere months.
Despite these advancements, the open-source approach also raises questions about intellectual property, security, and sustainable business models.
While it has catalysed innovation, it remains to be seen whether open-source strategies can sustain long-term competitiveness against well-funded proprietary systems.
China’s open-source embrace exemplifies a bold shift in AI strategy, emphasizing collaboration and accessibility over exclusivity.
This paradigm shift could redefine global dynamics in artificial intelligence, fostering a more inclusive and innovative future for the industry.
This news has sparked a surge in TMTG’s stock, which rose by approximately 9% in after-hours trading, despite a challenging year that saw the stock down 38% prior to this development. Will the gain hold?
The ETFs, branded under TMTG’s fintech arm are set to focus on a ‘Made in America’ theme, incorporating a mix of digital assets like Bitcoin and Cronos (Crypto.com’s native token) alongside traditional securities.
Crypto.com will play a pivotal role in this venture, providing backend technology, custody, and cryptocurrency supply for the ETFs.
The products are expected to be available internationally, including in Europe and Asia, through major brokerage platforms and the Crypto.com app, which boasts a global user base of 140 million.
This partnership marks another step in TMTG’s foray into the digital asset space, following previous ventures into non-fungible tokens (NFTs) and meme coins.
The move also highlights the growing intersection between traditional finance and cryptocurrency, as companies seek to innovate and diversify their offerings in a competitive market.
While the announcement has generated excitement, it also raises questions about the regulatory landscape and the sustainability of such ventures.
As TMTG and Crypto.com prepare to launch these ETFs later this year, pending regulatory approval, the financial world will be watching closely to see how this collaboration unfolds and its impact on the broader market
Chinese tech giant Baidu has released two new free-to-use artificial intelligence models as it vies to regain its leading position in the country’s fiercely competitive AI space
The Baidu models launched on Sunday 16th March 2025 included the company’s first reasoning-focused model and come ahead of plans to move towards an open-source strategy.
However, analysts reportedly said that while the release of the models is a positive development for Baidu, they also highlight how it is playing catch up as its Ernie bot – one of China’s earliest versions of a ChatGPT-like chatbot – struggles to gain widespread adoption.
‘The new models make Baidu more competitive since the company has been lagging behind in a reasoning model release’, one expert is reported as saying.
A reasoning model is a large language model that breaks down tasks into smaller pieces and considers multiple approaches before generating a response. It is designed to process complex problems in a similar way to humans.
Chinese startup DeepSeek upended the global AI race and transformed China’s ecosystem in January when it released its R1 reasoning model, which rivalled American competitors despite costing a fraction of the price.
BYD, a leading name in the electric vehicle (EV) industry, has unveiled groundbreaking super-charging technology that could redefine EV adoption
The new ‘super e-platform’ boasts peak charging speeds of 1,000 kilowatts (kW), enabling vehicles to gain a range of 400 kilometers (249 miles) in just five minutes.
This innovation brings EV charging times closer to the convenience of refueling traditional gasoline vehicles.
Charging speeds of 1,000 kW would be twice as fast as Tesla’s superchargers whose latest version offers up to 500 kw charging speeds. Fast-charging technology has been key to increasing EV adoption as it is seen to help assure EV drivers’ concerns over being able to charge their cars quickly.
The announcement, reportedly made at BYD’s Shenzhen headquarters, marks a significant leap in addressing ‘charging anxiety’- a key concern for EV users. Founder Wang Chuanfu emphasised the company’s commitment to making EV charging as quick and seamless as possible.
This is the first time the industry has achieved megawatt-level charging power, setting a new benchmark.
To complement this technology, BYD plans to build over 4,000 ultra-fast charging stations across China.
The initial rollout will feature the super e-platform in two new models: the Han L sedan and Tang L SUV, priced from 270,000 yuan ($37,328). These vehicles will pioneer the use of this cutting-edge charging system.
As competition in the EV market intensifies, BYD’s innovation positions it as a formidable player, challenging established giants like Tesla and paving the way for a more electrified future.
Artificial General Intelligence (AGI), a form of AI capable of matching or surpassing human intelligence across all tasks, is expected to emerge within the next five to ten years, according to Demis Hassabis, CEO of Google DeepMind.
Speaking recently, Hassabis highlighted the advancements in AI systems that are paving the way for AGI.
While current AI excels in specific domains, such as playing complex games like chess or Go – it still lacks the ability to generalise knowledge and adapt to real-world challenges.
But the advancements made in AI chatbots such as ChatGPT from OpenAI and DeepSeek have showcased remarkable development, and at speed too. Applying AI to work environments, science and domestic tasks is forever expanding.
Hassabis emphasised that significant research is still required to achieve AGI. The focus lies on improving AI’s understanding of context and its ability to plan and reason in dynamic environments.
Multi-agent systems, where AI entities collaborate or compete, are seen as a promising avenue for development.
These systems aim to replicate the intricate decision-making processes humans exhibit in complex scenarios.
The implications of AGI are profound, with potential applications spanning healthcare, education, and beyond.
However, its development also raises ethical and societal questions, including concerns about control, safety, and equitable access.
While the timeline remains speculative, Hassabis’s insights underscore the accelerating pace of AI innovation, bringing humanity closer to a future where machines and humans collaborate in unprecedented ways.
The cryptocurrency market faced a significant downturn following the announcement of President Donald Trump’s U.S. Bitcoin reserve plan
The initiative aimed to position the United States as a global digital asset leader fell short of market expectations, triggering a wave of selloffs.
Bitcoin, the flagship cryptocurrency, experienced a 3% drop, trading at $87,586.86 before dipping further to $84,688.13. Other major cryptocurrencies, including Ethereum, XRP, and Solana, also saw declines, with Cardano’s ADA token suffering a sharp 13% drop.
The market’s reaction underscores the gap between investor hopes and the plan’s immediate implications.
The executive order established a strategic bitcoin reserve funded exclusively by assets seized in criminal and civil proceedings. While this approach ensures no taxpayer burden, it disappointed investors who anticipated direct government purchases to bolster Bitcoin’s value.
White House Crypto and AI Czar David Sacks emphasised the reserve’s role as a ‘digital Fort Knox’, but the lack of immediate buy pressure dampened market sentiment.
The broader economic context also played a role. Weakness in equities and ongoing tariff concerns added to the uncertainty, compounding the market’s reaction.
Analysts noted that while the reserve plan is a step toward legitimising cryptocurrencies, its short-term impact on prices was underwhelming.
Despite the initial disappointment, the strategic reserve could have long-term benefits. By centralising and securing digital assets, the U.S. government aims to strengthen its position in the global financial system.
However, for now, the market remains volatile, reflecting the challenges of balancing innovation with investor expectations.
As the crypto landscape evolves, the success of such initiatives will depend on their ability to deliver tangible value to both the market and the broader economy.
Will the U.S. government create a strategic crypto reserve by directly buying the digital asset and holding it as a national reserve?
At this moment in time, only Trump has that ‘key’.
President Donald Trump has announced the creation of a ‘strategic crypto reserve’ that will include Bitcoin, Ethereum, XRP, Solana, and Cardano.
This move aims to position the United States as the ‘crypto capital of the world’ and has already led to significant price increases for these cryptocurrencies.
The announcement was made on Truth Social, where Trump emphasised the importance of elevating the crypto industry after what he described as years of corrupt attacks by the previous administration.
This is the first time Trump has specified his support for a crypto ‘reserve’ versus a ‘stockpile’.
Many crypto investors feel strongly that a crypto reserve should hold only Bitcoin, while some reject the idea of a reserve holding digital assets altogether.
Cryptocurrencies instantly rallied after President Donald Trump announced the creation of a strategic crypto reserve.
Crypto coins have since lost some of those initial gains.
This week has seen a decline in Bitcoin with the digital asset hitting a 3-month low, reversing gains that followed the election of U.S. President Donald Trump.
Bitcoin was trading at about $78,700 in trading in Asia, down 5.5% on the day and about 25% lower than an all-time high from December 2024.
Bitcoin 3-month chart as of 28th February 2025 (08:45 GMT)
Bitcoin 3-month chart as of 28th February 2025 (08:45 GMT)
Bitcoin slips
Bitcoin had enjoyed a surge in prices following Trump’s election victory in November 2024, with Trump having posed himself as a pro-crypto candidate during his campaign.
However, prices have slipped as investors turn-away from assets perceived to be too risky given the weakness in global equity markets and amid uncertainty surrounding the new President’s tariff policy and resolutions to the Russia-Ukraine and Israel-Gaza wars.
Investor sentiment was also soured by news that Bybit, a major cryptocurrency exchange, suffered a $1.5 billion hack in what’s estimated to be the largest crypto heist in history.
Nvidia recently reported its Q4 results, showcasing impressive growth driven by strong demand for AI technology.
The company achieved a record quarterly revenue of $39.3 billion, marking a 78% increase from the previous year.
This growth was primarily fuelled by the success of Nvidia’s Blackwell AI supercomputers, which saw billions of dollars in sales in their first quarter.
The data centre segment, which constitutes the bulk of Nvidia’s revenue, also performed exceptionally well, generating $35.60 billion, up 16% from the previous quarter. Nvidia’s adjusted earnings per share for Q4 were $0.89, surpassing analysts’ expectations of $0.84.
Looking ahead, Nvidia provided strong guidance for Q1, forecasting revenue of $43 billion, which exceeds market expectations of $42.05 billion. The company also projected a gross margin of 70.60% for the upcoming quarter.
The first-quarter forecast indicates a year-over-year growth of approximately 65%, a deceleration from the 262% annual growth recorded in the same period the previous year.
Nvidia’s CEO, Jensen Huang reportedly highlighted the rapid advancements in AI technology and the company’s successful ramp-up of Blackwell AI supercomputers as key drivers of this growth.
Despite facing competition from Chinese AI firms like DeepSeek, Nvidia remains optimistic about the demand for its AI chips.
The company’s robust performance and positive outlook signal continued growth and innovation in the AI sector.
Bybit, one of the world’s largest cryptocurrency exchanges, has fallen victim to the biggest crypto heist in history
Hackers managed to steal a staggering $1.5 billion in digital assets, primarily in Ethereum, from Bybit’s cold wallet, an offline storage system designed for ‘security’.
This breach has sent shockwaves through the cryptocurrency community, raising concerns about the security of digital assets.
The attack, which occurred on 21st February 2025, was reportedly traced back to the notorious North Korean hacking group, Lazarus. Known for their sophisticated cyber-attacks, the Lazarus Group exploited vulnerabilities in Bybit’s security infrastructure to gain access to the cold wallet.
Once inside, they swiftly transferred the stolen funds across multiple wallets and liquidated them through various platforms.
Bybit’s CEO, Ben Zhou, reassured users that all other cold wallets remained secure and that withdrawals were operating normally. However, the breach triggered a rush of withdrawals as users feared potential insolvency.
To mitigate the impact, Bybit secured a bridge loan from undisclosed partners to cover any unrecoverable losses and maintain operations.
Blockchain analysis firms, including Elliptic and Arkham Intelligence, have been working tirelessly to trace the stolen assets.
They have labelled the thief’s addresses in their software to prevent the funds from being cashed out through other exchanges. Despite these efforts, the stolen funds are being systematically moved through anonymous exchanges, making it challenging to recover the assets.
This incident highlights the ongoing risks associated with cryptocurrency exchanges and the need for robust security measures. As the industry grapples with the aftermath of this unprecedented heist, experts warn that large-scale thefts remain a fundamental risk in the digital asset space.
Bybit’s response and the collaborative efforts of the crypto community will be crucial in restoring trust and preventing future breaches.
The escalating AI competition between the U.S. and China has taken a new turn with the emergence of DeepSeek, a Chinese AI startup that has introduced a low-cost AI model capable of rivaling the performance of OpenAI’s models.
This development has significant implications for data centres and the broader technology sector.
The rise of DeepSeek
DeepSeek’s recent breakthrough involves the development of two AI models, V3 and R1, which have been created at a fraction of the cost compared to their Western counterparts.
The total training cost for these models is estimated at around $6 million, significantly lower than the billions spent by major U.S. tech firms. This has challenged the prevailing assumption that developing large AI models requires massive financial investments and access to cutting-edge hardware.
Impact on data centres
The introduction of cost-effective AI models like those developed by DeepSeek could lead to a shift in how data centers operate.
Traditional AI models require substantial computational power and energy, leading to high operational costs for data centers. DeepSeek’s models, which are less energy-intensive, could reduce these costs and make AI technology more accessible to a wider range of businesses and organizations.
Technological advancements
DeepSeek’s success also highlights the potential for innovation in AI without relying on the most advanced hardware.
This could encourage other companies to explore alternative approaches to AI development, fostering a more diverse and competitive landscape. Additionally, the open-source nature of DeepSeek’s models promotes collaborative innovation, allowing developers worldwide to customise and improve upon these models2.
Competitive dynamics
The competition between DeepSeek and OpenAI underscores the broader U.S.-China rivalry in the AI space. While DeepSeek’s models pose a limited immediate threat to well-funded U.S. AI labs, they demonstrate China’s growing capabilities in AI innovation.
This competition could drive both countries to invest more in AI research and development, leading to faster technological advancements and more robust AI applications.
Broader implications
The rise of DeepSeek and similar Chinese and other AI startups could have far-reaching implications for the global technology sector.
As AI becomes increasingly integrated into various industries, the ability to develop and deploy AI models efficiently will be crucial.
Data centres will need to adapt to these changes, potentially investing in more energy-efficient infrastructure and exploring new ways to support AI workloads.
Where from here?
DeepSeek’s emergence as a significant player in the AI race highlights the dynamic nature of technological competition between the U.S. and China.
While the immediate impact on data centres and technology may be limited, the long-term implications could be profound.
As AI continues to evolve, the ability to innovate cost-effectively and collaborate across borders will be key to driving progress and maintaining competitiveness in the global technology landscape.
Microsoft has unveiled a new chip called Majorana 1 that it says will enable the creation of quantum computers able to solve ‘meaningful, industrial-scale problems in years, not decades’.
What is Microsoft’s Majorana 1?
It is the latest development in quantum computing – tech which uses principles of particle physics to create a new type of computer able to solve problems ordinary computers cannot.
Microsoft has announced a game-changing development in the world of quantum computing: the Majorana 1 chip. This revolutionary chip integrates eight topological quantum bits (qubits), setting a new standard for stability and resistance to environmental interference.
Microsoft. The new Majorana 1 chip
The Majorana 1 chip is built on a unique combination of indium arsenide, a semiconductor, and aluminum, a superconductor. This cutting-edge design enables the chip to create a topological state, a new form of matter that encodes information in a way that is inherently noise-resistant. This means that the Majorana 1 chip can maintain its quantum state longer, making it more reliable for complex computations.
What sets the Majorana 1 chip apart is its use of topoconductors, a new class of materials developed by Microsoft’s researchers over nearly two decades. These materials provide a high level of error protection, which is essential for practical quantum computing applications. The Majorana 1 chip is a significant step toward the ultimate goal of creating quantum computers with millions of qubits, capable of solving complex industrial and societal problems.
While the Majorana 1 chip is still in the research phase and not yet available for commercial use, it represents a monumental leap forward in quantum technology. Microsoft’s commitment to advancing quantum computing is evident in the substantial investment of time and resources required to develop this groundbreaking chip.
In summary, the Majorana 1 chip is poised to transform the landscape of quantum computing, offering a more stable and reliable platform for future innovations. This development marks a pivotal moment in the quest for practical and scalable quantum computing solutions.
What is Quantum computing?
Quantum computing is a revolutionary technology that uses the principles of quantum mechanics to process information in a fundamentally different way than classical computers, allowing for exponentially faster calculations in certain tasks.
It leverages qubits, which can represent multiple states simultaneously, enabling complex problem-solving and data analysis beyond the capabilities of traditional computing.
Microsoft says powerful quantum computers will be a reality in years not decades.
Elon Musk’s AI company, xAI, has recently released its latest AI model, Grok 3.
This new AI model is designed to be significantly more powerful and capable than its predecessor, Grok 2.
Enhanced Capabilities: Grok 3 boasts 10 times more computing power than Grok 2 and has been trained on an expanded dataset, including court case filings.
Reasoning Models: Grok 3 includes reasoning models that can carefully analyze and fact-check information before providing responses. This helps in avoiding common pitfalls of AI models.
Benchmark Performance: Grok 3 has outperformed other leading AI models, including OpenAI’s GPT-4o and DeepSeek’s R1, on various benchmarks such as AIME (math questions) and GPQA (physics, biology, chemistry problems).
New Features: The Grok app now includes a ‘DeepSearch’ feature that scans the internet and xAI’s social network, X, to provide summarised responses to user queries.
Subscription Plans: xAI has introduced a new subscription plan called SuperGrok, which offers additional reasoning capabilities and unlimited image generation.
Grok 3 is being hailed as the ‘smartest AI on Earth’ by Musk, and it’s expected to have a significant impact on various industries.
Definition
Grok is a neologism (a newly coined word or expression), referenced by Robert A. Heinlein for his 1961 science fiction novel Stranger in a Strange Land. It means to understand something so deeply that you become one with it.
Grok is a term used in computer programming to mean to ‘profoundly understand something‘, such as a system, a language, or an algorithm.
It is supposed to have ‘a bit of wit, a rebellious streak’ and it should answer the ‘spicy questions’ that other AI might dodge, according to a statement from xAI.
China’s Baidu reportedly plans to release the next generation of its artificial intelligence model in the second half of this year, according to information recently reported.
The planned update comes as Chinese companies race to develop innovative AI models to compete with OpenAI and other U.S. based companies.
Baidu was the first major Chinese tech company to roll out a ChatGPT-like chatbot called Ernie in March 2023.
However, despite initial momentum, the product has since been eclipsed by other Chinese chatbots from large tech companies such as Alibaba and ByteDance, as well as startups.
Shares of BYD, the Chinese electric vehicle (EV) giant, surged to a record high on Tuesday 11th February 2025, following the announcement of its new driver assistance technology.
This move is expected to significantly enhance the driving experience and safety features of BYD’s vehicles.
BYD’s founder and chairman, Wang Chuanfu, announced the launch of the DiPilot system at a livestreamed event, emphasizing that advanced smart driving will become a standard safety feature, akin to seatbelts and airbags (time will tell on that statement).
The system includes features such as remote parking and autonomous highway navigation. These features reportedly are being integrated into over 20 models. Budget-friendly options priced below 70,000 yuan ($9,555) will also have the system.
DeepSeek AI integration
The integration of DeepSeek’s AI technology is a game-changer for BYD. DeepSeek, known for its innovative chatbot that rivals U.S. competitors such as OpenAI and others brings high-quality AI capabilities to BYD’s autonomous driving systems.
This partnership allows BYD to offer advanced intelligent features at a competitive price, putting it ahead of its rivals in the fiercely competitive Chinese EV market.
Analysts have praised BYD’s strategic shift from price-cutting to upgrading vehicle functions and have noted that BYD is now dictating the pace of technological features in the market.
The company’s stock rose by 4.5% to a record high in Hong Kong, reflecting investor optimism about the new technology.
BYD’s move to integrate advanced driver assistance systems into budget models is expected to intensify the EV price war. The company’s aggressive pricing strategy, combined with cutting-edge technology, positions it well to capture a larger market share.
With more than 20 models featuring the new driver assistance tech, BYD is set to lead the way in smart vehicle innovation.
As BYD continues to expand its presence globally, the integration of DeepSeek’s AI technology marks a significant milestone in the company’s journey towards becoming a leader in the EV industry.
The future looks promising for BYD as it continues to innovate and push the boundaries of automotive technology.
As we progress through 2025, it’s evident that the initial excitement surrounding Donald Trump’s election win, artificial intelligence (AI), and cryptocurrency has begun to wane – but for how long?
Investors and the general public seem to be growing more cautious, reflecting a shift in sentiment towards these once highly anticipated topics.
Trump’s tariffs
In the realm of politics, Trump’s influence on the stock market has been notably erratic. His tariff threats and new policies have created uncertainty and volatility, leading investors to react negatively. Trump’s riviera suggestion for the Gaza strip, his interest in Canada and fixation for Greenland ownership have all tilted ‘standard’ political logic.
Recent announcements of additional tariffs on steel and aluminum imports have only heightened concerns, causing stock market fluctuations and dampening investor enthusiasm. The initial optimism that Trump’s policies would bolster the economy has been replaced by a more cautious outlook.
AI
Artificial intelligence, once hailed as the technological revolution of the century, is also experiencing a cooling of enthusiasm. While AI continues to make strides in various industries, the initial hype has given way to a more measured perspective.
Investors are now more wary of the long-term potential and the substantial investments required to develop AI technologies. Companies like DeepSeek, which have claimed cost efficiencies, are causing big tech firms to reevaluate their spending on AI projects, leading to a more tempered approach.
Crypto
Cryptocurrency, too, has seen mixed sentiments. Despite ongoing enthusiasm from dedicated supporters, the market’s volatility and regulatory challenges have tempered the initial excitement.
The dramatic price swings and uncertain regulatory landscape have made investors more cautious. While there are still significant investments and innovations in the crypto space, the euphoria that once surrounded it has subdued.
The excitement around Trump, AI, and cryptocurrency is not as fervent as it once was. The reality of market volatility, regulatory challenges, and the substantial investments required has led to a more cautious and measured approach.
As we move forward, it will be interesting to see how these areas evolve and whether they regain the heightened enthusiasm they once enjoyed.
DeepSeek’s impact probably isn’t yet fully reflected in U.S. stocks
The ramifications of the Chinese startup DeepSeek, with its promise of delivering cheaper and more energy-efficient alternatives to harness artificial intelligence (AI), have yet to be fully reflected in U.S. equities.
If DeepSeek ends up delivering a less costly way forward – it will make it much easier and cheaper for smaller more typical companies to create AI ‘agents’ or AI opportunities for their businesses.
Under this scenario there will be ‘useful’ and meaningful benefits from DeepSeek that could bring huge earnings potential for a broader mix of companies beyond the current AI heavyweights through greater efficiencies and productivity from less-expensive AI solutions.
It also put huge sums being pledged for AI infrastructure by U.S. mega cap tech companies under a microscope. Rather than back down, the U.S. spending race has intensified.
Meta’s Chief Executive Mark Zuckerberg spoke a week ago of spending ‘hundreds of billions of dollars’ on AI infrastructure in the coming years, after pledging $60 billion to $65 billion on AI this year.
Alphabet announced AI investment for 2025, a bigger figure than Wall Street was anticipating.
Google forecast $75 billion in capital expenditures in 2025, a bigger figure than Wall Street was anticipating.
Microsoft reported its cloud and AI spending grew 95% in its fiscal second quarter to $22.6 billion.
Amazon has reported big AI investment too.
The spending frenzy on anything AI sends the market into a spin. How much more has to be spent before we see capital expenditures reduced or decrease is anyone’s guess right now – but current levels of AI expenditure are high, and returns will be expected.
“When is enough, enough?”
Or more to the point you might ask – when is ‘enough’ too much?
Fresh AI-spending commitments helped lift shares of Nvidia on while we saw a slump for Tesla shares in the week.
China this week saw the U.S. slap new 10% tariffs, while Canada and Mexico saw Trump threaten but delay 25% tariffs by 30 days. China retaliated in kind.
Catching up with the ‘Magnificent Seven’
Despite the high scrutiny on AI stocks, there is also much renewed focus from investors on other areas of the market.
There has been a bit of a rotation – while tech has been under pressure, defensive and rate-sensitive parts of the market have been gaining. This seems to be an emerging pattern.
But there should be reason for caution. For one thing, the growth rate of ‘Magnificent Seven’ earnings has been tailing off in recent quarters, especially since the group reached a 61% yearly rate in the fourth quarter of 2023 – the spend on AI investment has yet to fully appreciate the full return.
Forward analysts’ expectations have this percentage reportedly closer to 16% to 18% for the end of this year.
But that also would move the group closer to the roughly 12% to 13% yearly growth rate expected for the rest of the companies in the S&P 500 index, potentially making the high valuations of the ‘Magnificent Seven’ tougher to justify.
One of the most surprising things of the past couple of weeks, given the news around DeepSeek and shocks on the trade front, is the fact that stocks were still close to their all-time highs.
The market is pretty resilient right now, but tech stocks are sitting at a very high valuation – a pullback is due, even a correction (in my opinion).
The arrival of DeepSeek creates an alternative ‘cheaper’ AI option and that will unravel the status quo.
While the company managed to surpass expectations in certain areas, it fell short in others, notably in data centre revenue.
Key highlights
Earnings per share (EPS): AMD reported an adjusted EPS of $1.09, slightly above the expected $1.08. This indicates a stable performance in terms of profitability, showcasing the company’s ability to manage costs effectively.
Revenue: The company posted a revenue of $7.66 billion, surpassing analysts’ estimates of $7.53 billion. This positive result highlights AMD’s continued growth and market presence, particularly in its core segments.
Data centre sales: Despite the overall positive revenue, AMD’s data centre sales fell short of expectations. Sales in this segment nearly doubled to $3.86 billion, reflecting a 69% increase year-over-year. However, this figure was below the anticipated $4.14 billion, signaling challenges in meeting the high demand and competition in the data center market.
Income: AMD reported a net income of $482 million, or 29 cents per share, down from $667 million, or 41 cents per share, in the year-ago period. This decline in net income suggests that the company faced increased expenses or other financial challenges during the quarter.
First quarter guidance
Looking ahead, AMD has provided guidance for the first quarter of 2025. The company expects Q1 sales to be around $7.1 billion, with a gross margin of approximately 54%. This forecast indicates cautious optimism, with AMD aiming to navigate the complexities of the semiconductor industry and maintain steady growth.
CEO’s statement
AMD’s CEO, Lisa Su, reportedly expressed confidence in the company’s future, particularly in the data centre AI market.
She highlighted the significant opportunities and potential for growth in this area, predicting strong double-digit revenue and EPS growth for 2025.
Her statement underscores AMD’s strategic focus on innovation and expanding its market share in high-growth segments.
Future
AMD’s Q4 2024 earnings report presents a nuanced picture of the company’s performance. While it has achieved notable successes in certain areas, challenges remain, particularly in meeting data centre revenue expectations.
As AMD continues to navigate the competitive landscape of the semiconductor industry, its future strategies and market positioning will be closely watched by investors and analysts alike.
Nvidia’s share price has been on a rollercoaster ride recently. After experiencing a significant drop due to concerns over the Chinese startup DeepSeek’s AI models, Nvidia’s stock saw a sharp recovery.
However, there are mixed opinions about the potential for more downside. Some analysts believe that Nvidia’s stock still looks weak on the technical charts and may face further declines.
Some analysts suggest that Nvidia shares may trade in the range of $105 to $135 and recommend a ‘sell on rise’ strategy. Some also pointed out signs of technical deterioration, suggesting that Nvidia’s stock may be entering an intermediate-term corrective phase.
On the other hand, some investors are optimistic about Nvidia’s long-term growth prospects, especially with its strong fundamentals and continued advancements in AI technology.
The market remains dynamic, and the stock’s performance will likely depend on various factors, including broader market trends and developments in the AI industry.
Nvidia meteoric will likely change dramatically when face with an alternative AI chip manufacturer.
Doubt cast
DeepSeek, has made significant advancements in AI technology. There are claims and speculations that DeepSeek may have used some U.S. technology to enhance its capabilities.
For instance, it was reported that DeepSeek acquired a substantial number of Nvidia’s high-performance A100 graphics processor chips before the U.S. imposed restrictions on their sales to China. Additionally, there have been allegations that DeepSeek copied some technology developed by U.S. rival OpenAI.
However, these are unfounded claims and it’s important to point out that DeepSeek has also been praised for its innovation and efficiency, developing AI models at a fraction of the cost compared to leading U.S. tech companies.
This may even aid Nvidia as it could drive the cost of AI down bringing it to a wider audience more quickly thus enhancing Nvidia’s future sales.
Nvidia, the renowned American technology company, recently experienced the largest one-day loss in U.S. history. On January 27, 2025, Nvidia’s stock plummeted by 17%, resulting in a staggering market cap loss of nearly $600 billion.
DeepSeek, founded in 2023 by Liang Wenfeng, has developed open-source large language models that rival some of the best AI models in the world. The company’s latest model, DeepSeek-V3, has demonstrated impressive performance at a fraction of the cost of its competitors.
This has raised concerns among investors about the sustainability of Nvidia’s dominance in the AI chip market.
The release of DeepSeek’s latest technology has caused significant anxiety among U.S. tech giants, leading to a massive sell-off in the stock market. Companies that rely heavily on Nvidia’s GPUs, such as Dell, Oracle, and Super Micro Computer, also saw their stock prices plummet.
The ripple effect of Nvidia’s loss was felt across the tech-heavy Nasdaq, which dropped by 3.1% on the same day.
Nvidia one-month chart 27th January 2025
In response to this market upheaval, former President Donald Trump commented on the situation, stating that DeepSeek’s emergence should serve as a ‘wake-up call’ for American companies.
Trump emphasised the need for U.S. industries to remain competitive and innovative in the face of rising competition from Chinese tech firms. He acknowledged the impressive advancements made by DeepSeek and suggested that American companies could benefit from adopting more cost-effective methods in their AI development.
Trump’s remarks highlight the growing concern among U.S. policymakers and industry leaders about the rapid advancements in AI technology coming from China.
The success of DeepSeek has demonstrated that significant breakthroughs can be achieved with relatively modest investments, challenging the notion that massive capital expenditure is necessary for top-tier AI performance.
As the AI race continues to heat up, it is clear that companies like Nvidia will need to adapt and innovate to maintain their competitive edge. The emergence of DeepSeek has not only disrupted the market but also underscored the importance of staying ahead in the rapidly evolving field of artificial intelligence.
For American tech giants, this wake-up call serves as a reminder that the global AI landscape is becoming increasingly competitive, and complacency is not an option.
Has the U.S. spent wisely on AI development?
The emergence of DeepSeek has indeed raised questions about the spending strategies of U.S. tech companies on AI development. DeepSeek’s ability to develop high-performing AI models at a fraction of the cost has led to concerns about the necessity of the massive capital expenditures by large U.S. tech firms.
For instance, companies like Microsoft, Alphabet, Meta, and Amazon have collectively spent over $1 trillion on AI investments in recent years. This significant spending has been driven by the belief that larger models and more computing power would lead to better performance.
However, DeepSeek’s success with more cost-effective methods challenges this notion and suggests that efficient innovation might be more important than sheer scale.
The impressive performance and lower costs of DeepSeek’s models have prompted some analysts to question whether the billions of dollars spent by U.S. tech companies on AI development are justified. This has led to a re-evaluation of AI spending strategies and a push for more efficient and innovative approaches to AI development.
In summary, while U.S. tech companies have invested heavily in AI, the success of DeepSeek highlights the potential for achieving cutting-edge results with fewer resources. This has sparked a broader discussion about the most effective and efficient ways to advance AI technology.
Asking ChatGPT – ‘Do you see Deepseek as a competitor or a threat?’
The reply:
As an AI, I don’t have personal opinions or feelings. However, I can share that DeepSeek’s rapid rise and impressive performance in the AI field are noteworthy. Their ability to develop high-performing models at a lower cost is a significant achievement and has certainly shaken up the industry. It’s a reminder of the dynamic and competitive nature of the AI landscape, where innovation can come from unexpected places.
Asking ChatGPT – ‘What do you think of Deepseek?’
The reply:
DeepSeek is a fascinating and disruptive player in the AI landscape. Founded in 2023 by Liang Wenfeng, this Chinese startup has quickly gained attention for its open-source large language models, which rival some of the best AI models in the world at a fraction of the cost. Their latest models, DeepSeek-V3 and DeepSeek-R1, have demonstrated impressive performance and efficiency, challenging the dominance of established tech giants2.
DeepSeek’s emergence has caused significant market upheaval, leading to substantial drops in the stock prices of major AI-related firms, including Nvidia. The company’s success highlights the potential for innovation and cost-effectiveness in AI development, which has prompted industry leaders and policymakers to re-evaluate their strategies.
Overall, DeepSeek’s rapid rise and impact on the AI industry underscore the importance of staying competitive and innovative in this fast-evolving field. It’s a reminder that breakthroughs can come from unexpected places and that the AI landscape is becoming increasingly dynamic and competitive.
It would not be drawn on these questions but, one thing is for sure the U.S. has spent billions developing their systems and charge fortunes for using it.
This is about to change.
And further…
The Deepseek website reportedly crashed on 27th January 2025 due to heavy global demand. There were also reports of unrelenting cyberattacks on its systems…?
Curious. From minnow to centre stage in just one day!
