Tag: Artificial Intelligence

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China’s AI vs U.S. AI – competition heats up – and that’s good for business – isn’t it?

DeepSeek AI

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.

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Microsoft’s Quantum Leap: The Majorana 1 Chip

Quantum Physics

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.

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Musk’s xAI releases new Grok 3 AI

xAI Grok AI

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.

Less woke

Grok, the company previously reportedly said, is modelled on ‘The Hitchhiker’s Guide to the Galaxy’. 

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.

I wonder if it has been modelled on Elon Musk?

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Chinese tech giant Baidu to release next-generation AI model soon as DeepSeek leads Chinese AI tech

AI

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.

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Musk is everywhere!

Elon Musk

Elon Musk is the world’s richest person and the leader of Tesla, SpaceX, X, The Boring Company, x.AI, and Neuralink.

He is also the co-founder of PayPal and Zip2 and now the co-leader of DOGE – of U.S. Department of Government Efficiency and also recently led a group of investors in a bid to acquire OpenAI.

From a business perspective, Musk’s achievements are undeniable and even astonishing. The companies he leads are not only market leaders but also pioneers in their respective fields – consider how Tesla initiated the electric vehicle industry or how SpaceX successfully commercialised spaceflight.

Paradoxically, achieving success on a broad scale can have adverse effects. Investors appear to be increasingly concerned that Musk, despite his business acumen, is becoming distracted.

Tesla shares have declined over the past five trading days, dropping more than 6% on Tuesday 11th February 2025 as Chinese competitor BYD seems to be surpassing the company in AI-enabled autonomous driving.

If hands-free driving becomes a reality at Tesla, it could allow Musk to engage in other ventures without negatively impacting the company’s shares.

What you need to know today

BYD is a Tesla threat – but this is Elon Musk we’re talking about

Tesla shares fell 6.3% Tuesday 11th February 2025 after Chinese EV maker BYD said it will integrate DeepSeek into its autonomous driving technology and offer it in nearly all its vehicles.

There are also concerns over Musk’s distractions, such as his bid for OpenAI and his role at the ‘DOGE’ – Department of Government Efficiency in the White House.

Tesla’s stock price has fallen over 16% in the past five trading days

Tesla’s stock price has fallen over 16% in the past five trading days (5-day chart as of 11th February 2025)
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BYD shares hit record as the EV maker rolls out advanced driver tech with DeepSeek’s AI assistance

BYD with DeepSeek AI (fictitious image)

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.

The company revealed its latest ‘DiPilot’ assisted driving system, which integrates artificial intelligence (AI) from Chinese startup DeepSeek.

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.

One Year BYD charts as of 11th February 2025

One Year BYD charts as of 11th February 2025

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Waning enthusiasm around Trump – AI and crypto

Lack of enthusiasm

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.

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Could DeepSeek deliver another shock to the stock market and to tech stocks in particular?

AI

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.

AI spending race

When DeepSeek’s chatbot launched earlier this month in the U.S., it shocked Wall Street, prompting a historic $600 billion one-day wipeout for AI chip developer Nvidia.

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.

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AMD misses on data centre revenue – but profit and revenue are up

AMD

AMD shows mixed results in Q4 2024 earnings report

Advanced Micro Devices (AMD) has released its Q4 2024 earnings report, revealing a mixed bag of results that have sparked interest and discussions among investors and analysts.

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.

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Apple shares rise as services revenue compensates for iPhone miss

Artificial Intelligence

Apple’s shares recently rose by 3% despite a decline in iPhone sales, thanks to a significant boost in services revenue.

The company’s overall revenue for the first fiscal quarter of 2025 reported an increase of 4% to $124.3 billion, surpassing Wall Street’s expectations.

However, iPhone sales fell short of estimates, totalling $69.14 billion compared to the expected $71.03 billion.

The services division, which includes subscriptions, warranties, and licencing deals, reported a revenue of $26.34 billion, a 14% increase from the same period last year. This growth in services revenue helped offset the decline in iPhone sales and contributed to the positive market response.

Apple CEO Tim Cook reportedly highlighted that iPhone sales were stronger in countries where Apple Intelligence is available.

The company reportedly plans to release additional languages for Apple Intelligence in April 2025, including a version in simplified Chinese.

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Is Nvidia share price at risk as DeepSeek creates an alternative lower cost AI direction?

China and U.S. AI

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.

On Tuesday 28th January 2025 Nvidia shares ended 8.82% higher at $128.86 on Nasdaq, following a 17% drop the previous day.

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.

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The aftermath from the arrival of Deepseek

Deepseek AI

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.

This unprecedented drop was primarily triggered by the emergence of DeepSeek, a Chinese artificial intelligence startup that has been making waves in the tech industry.

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!

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China’s DeepSeek low-cost challenger to AI rattles tech U.S. markets

China Deepseek AI

U.S. technology stocks plunged as Chinese startup DeepSeek sparked concerns over competitiveness in AI and America’s lead in the sector, triggering a global sell-off

DeepSeek launched a free, open-source large-language model in late December 2024, claiming it was developed in just two months at a cost of under $6 million.

The developments have stoked concerns about the large amounts of money big tech companies have been investing in AI models and data centres.

DeepSeek is a Chinese artificial intelligence startup that has recently gained significant attention in the AI world. Founded in 2023 by Liang Wenfeng, DeepSeek develops open-source large language models. The company is funded by High-Flyer, a hedge fund also founded by Wenfeng.

The AI models from DeepSeek have demonstrated impressive performance, rivaling some of the best chatbots in the world at a fraction of the cost. This has caused quite a stir in the tech industry, leading to significant drops in the stock prices of major AI-related firms.

The company’s latest model, DeepSeek-V3, is known for its efficiency and high performance across various benchmarks.

DeepSeek’s emergence challenges the notion that massive capital expenditure is necessary to achieve top-tier AI performance.

The company’s success has led to a re-evaluation of the AI market and has put pressure on other tech giants to innovate and reduce costs.

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S&P 500 touches new record high!

Stocks rose on Wednesday 22nd January 2024 with the S&P 500 reaching a new all-time high, as technology shares including Nvidia and Oracle surged on optimism surrounding artificial intelligence and President Donald Trump’s new term in office.

The S&P 500 advanced after hitting an intraday record of 6,100.81, exceeding the last milestone touched in December 2024 before pulling back. The index closed at 6,086.37, slightly below its all-time closing high.

S&P 500 one-month chart as of Wednesday 22nd January 2024

S&P 500 one-month chart as of Wednesday 22nd January 2024

The S&P’s move to an all-time high comes as investors witnessed a December 2024 pullback. Despite the index ending last year with a 23% gain, the S&P 500 shed 2.5% in December 2024, as traders fretted that the Federal Reserve wouldn’t be able to cut rates as much as anticipated.

That lacklustre performance bled into the first few trading sessions of 2025, but some data indicating modest easing on the inflation front and good earnings results have helped the market recover.

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Trump announces massive U.S. AI investment backed by Oracle, OpenAI and Softbank

U.S. AI investment

President Donald Trump announced a joint venture with OpenAI, Oracle and Softbank to invest billions of dollars in artificial intelligence infrastructure in the U.S.

The project, dubbed Stargate, was unveiled at the White House by Trump, Softbank CEO Masayoshi Son, OpenAI CEO Sam Altman and Oracle co-founder Larry Ellison.

The executives committed to invest an initial $100 billion and up to $500 billion over the next four years in the project, which will be set up as a separate company.

Softbank’s Son had reportedly already promised a four-year, $100-billion investment when he recently visited then-President-elect Trump at his Mar-a-Lago resort.

And this new AI investment is over and above the investments from the likes of Microsoft, Google, Apple, Anthropic and many others already in progress.

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The UK is planning to build a homegrown artificial intelligence rival to OpenAI

UK AI

In a bold move to establish as a global leader in artificial intelligence, the United Kingdom is undertaking an ambitious initiative to develop a homegrown competitor to OpenAI.

This initiative is part of a broader strategy to enhance the nation’s computing infrastructure and foster innovation in AI technology.

Prime Minister Keir Starmer’s administration has committed to increasing the UK’s ‘sovereign’ computing capacity by twentyfold by 2030. This significant investment aims to support the development of powerful AI models that rely on high-performance computing equipment.

The government plans to expand data centre capacity across the country, providing the necessary infrastructure for AI developers to train and run their systems effectively.

AI Opportunities Action Plan

Central to this initiative is the AI Opportunities Action Plan, spearheaded by tech investor Matt Clifford. The plan outlines a comprehensive approach to harnessing the potential of AI, including the establishment of AI growth zones where planning permission rules will be relaxed to facilitate the creation of new data centers.

These zones are expected to become hubs of innovation, attracting both domestic and international talent to the UK.

The government is also set to launch the AI Research Resource, an initiative aimed at bolstering the UK’s computing infrastructure. This resource will provide access to high-performance computing facilities, enabling researchers and developers to work on cutting-edge AI projects.

Additionally, the establishment of a National Data Library will connect public institutions, such as universities, to enhance the country’s ability to create sovereign AI models.

Funding challenge

One of the key challenges facing the UK in its bid to rival OpenAI is funding. While the government has pledged substantial investments, many entrepreneurs and venture capitalists in the country have highlighted the difficulties in raising the kind of capital available to AI startups in the U.S. To address this, the government has secured commitments from leading tech firms, which have pledged £14 billion towards various AI projects.

This includes significant investments in data centers and the creation of thousands of AI-related jobs across the country.

UK AI sovereignty

The UK’s focus on AI sovereignty is driven by the belief that technologies critical to economic growth and national security should be developed within the country. This approach aims to reduce reliance on foreign tech giants and ensure that AI advancements align with national interests and ethical standards.

The government is also exploring the role of renewable and low-carbon energy sources, such as nuclear, to power the data centers that will support AI development.

Despite the ambitious plans, the UK faces several hurdles in its quest to become a global AI leader. The country’s risk-averse investment culture and the competitive landscape of AI development pose significant challenges.

However, the government’s proactive approach and the support of industry leaders provide a strong foundation for success.

Initiative and challenge

The UK’s initiative to build a homegrown rival to OpenAI represents a significant step towards establishing itself as a global leader in artificial intelligence.

By investing in computing infrastructure, fostering innovation, and securing industry support, the UK aims to create a thriving AI ecosystem that can compete on the world stage. While challenges remain, the commitment to AI sovereignty and the strategic vision outlined in the AI Opportunities Action Plan offer a promising path forward for the nation’s AI ambitions.

Sold – the UK needs to protect its future and not sell the silver… again

Over the years, the UK has seen several of its tech companies sold off to foreign investors.

  1. ARM Holdings: Perhaps the most famous example, ARM Holdings, a leading semiconductor and software design company, was acquired by Japan’s SoftBank Group in 2016 for £24.3 billion. ARM’s technology is used in the majority of smartphones worldwide.
  2. DeepMind: In 2014, Google acquired DeepMind, a UK-based AI company known for its advancements in machine learning and neural networks, for around £400 million. DeepMind has since become a key part of Google’s AI research efforts.
  3. Imagination Technologies: This British GPU and AI processing company was sold to Canyon Bridge Capital Partners, a private equity fund backed by Chinese state-owned China Reform Fund Management, in 2017 for £550 million. Recently, Imagination Technologies has been put up for sale again.
  4. Autonomy Corporation: Acquired by Hewlett-Packard (HP) in 2011 for $11.7 billion. The deal later became controversial due to allegations of financial mismanagement
  5. Powa Technologies: This mobile payments company faced financial difficulties and was sold off in parts after going into administration in 2016. PowaTag was sold to a consortium led by businessman Ben White, while Powa Web was sold in a management buyout backed by Greenlight Digital.

One to keep

Raspberry Pi Holdings plc, the parent company behind the iconic Raspberry Pi computer series, is a British technology business focused on designing and manufacturing single-board computers and modules. The company was founded by Eben Upton and is headquartered in Cambridge, England1.

As of the latest information, the largest shareholder of Raspberry Pi Holdings is the Raspberry Pi Foundation, which holds around 49% of the company. Other notable shareholders include Arm Holdings plc, Lansdowne Partners (UK) LLP, and the Raspberry Pi Employee Benefit Trust. The company went public on the London Stock Exchange in June 2024.

Raspberry Pi Holdings continues to innovate and expand its product offerings, maintaining its mission to make computing accessible and affordable for everyone.

These sales reflect the global interest in UK tech companies and the challenges they face in securing domestic investment to remain independent. The UK’s tech sector continues to be a hotbed of innovation, attracting significant attention from international investors.

The UK needs to nurture and keep its upcoming new tech discoveries, AI or otherwise – to protect the future of Britain.

We have the knowhow – we just need to keep it!

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U.S. introduces more restrictions on AI chip sales across the world

U.S. AI tech

In a significant move to maintain its technological edge and ‘national security’, the United States has announced new restrictions on the sale of advanced AI chips to most countries around the world

This decision, unveiled in the final days of President Joe Biden’s administration, aims to limit the global distribution of AI technology while ensuring that America’s closest allies continue to have access to these critical resources.

Regulation

The new regulations will cap the number of AI chips that can be exported to most countries, while allowing unlimited access to U.S. AI technology for America’s closest allies, including Japan, UK, South Korea, and the Netherlands.

This approach is designed to prevent adversaries like China, Russia, Iran, and North Korea from acquiring advanced computing power that could enhance their military capabilities.

Commerce Secretary Gina Raimondo emphasised the importance of maintaining U.S. leadership in AI development and chip design. ‘The U.S. leads AI now – both AI development and AI chip design, and it’s critical that we keep it that way,’ she reportedly said.

The regulations are part of a broader effort to close loopholes and add new guardrails to control the flow of AI chips and the global development of AI.

AI rules

The new rules will place limits on the export of advanced graphics processing units (GPUs), which are essential for powering data centers needed to train AI models. Companies like Nvidia and Advanced Micro Devices, which produce these chips, will be significantly impacted by the new regulations.

Major cloud service providers, such as Microsoft, Google, and Amazon, will be able to seek global authorisations to build data centres, exempting their projects from the country quotas on AI chips.

The Biden administration’s decision has faced criticism from industry leaders. Nvidia, a leading producer of AI chips, called the new rules “sweeping overreach” and argued that the restrictions would clamp down on technology already available in mainstream gaming PCs and consumer hardware.

Oracle, a major data center provider, expressed concerns that the rules would hand over a significant portion of the global AI and GPU market to Chinese competitors.

Despite the opposition, the U.S. government remains steadfast in its commitment to protecting national security and maintaining its technological dominance. The new regulations are set to take effect in 120 days, giving the incoming administration of President-elect Donald Trump time to weigh in on the implementation and enforcement of the rules.

Restrictions

The U.S. restrictions on AI chip sales represent a strategic effort to safeguard ‘national security’ and maintain leadership in AI technology.

While the new regulations have sparked controversy and criticism from industry leaders, the government’s focus on controlling the global distribution of AI chips underscores the importance of technological sovereignty in an increasingly competitive world

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UK wants to control its own AI direction – suggesting a divergence from the EU and U.S.

UK tech

The UK is charting its own course when it comes to regulating artificial intelligence, signaling a potential divergence from the approaches taken by the United States and the European Union. This move is part of a broader strategy to establish the UK as a global leader in AI technology.

UK AI framework

Britain’s minister for AI and digital government, Feryal Clark, emphasised the importance of the UK developing its own regulatory framework for AI.

She highlighted the government’s strong relationships with AI companies like OpenAI and Google DeepMind, which have voluntarily opened their models for safety testing. Prime Minister Keir Starmer echoed these sentiments, stating that the UK now has the freedom to regulate AI in a way that best suits its national interests following Brexit.

Unlike the EU, which has introduced comprehensive, pan-European legislation aimed at harmonising

AI rules across the bloc, the UK has so far refrained from enacting formal laws to regulate AI.

Instead, it has deferred to individual regulatory bodies to enforce existing rules on businesses developing and using AI. This approach contrasts with the EU’s risk-based regulation and the U.S.’s patchwork of state and local frameworks.

Labour Party Plan

During the Labour Party’s election campaign, there was a commitment to introducing regulations focusing on ‘frontier’ AI models, such as large language models like OpenAI’s GPT. However, the UK government has yet to confirm the details of proposed AI safety legislation, opting instead to consult with the industry before formalising any rules.

The UK’s AI Opportunities Action Plan, endorsed by tech entrepreneur Matt Clifford, outlines a comprehensive strategy to harness AI for economic growth.

The plan includes recommendations for scaling up AI capabilities, establishing AI growth zones, and creating a National Data Library to support AI research and innovation. The government has committed to implementing these recommendations, aiming to build a robust AI infrastructure and foster a pro-innovation regulatory environment.

Despite the ambitious plans, some industry leaders have expressed concerns about the lack of clear rules. Sachin Dev Duggal, CEO of AI startup Builder.ai, reportedly warned that proceeding without clear regulations could be ‘borderline reckless’.

He reportedly highlighted the need for the UK to leverage its data to build sovereign AI capabilities and create British success stories.

The UK’s decision to ‘do its own thing’ on AI regulation reflects its desire to tailor its approach to national interests and foster innovation.

While this strategy offers flexibility, it also presents challenges in terms of providing clear guidance and ensuring regulatory certainty for businesses. As the UK continues to develop its AI regulatory framework, it will be crucial to balance innovation with safety and public trust

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Meta boss bows to Trump re-aligning with their ‘free speech’ mandate

AI

Mark Zuckerberg’s recent actions seem to be driven by a mix of strategic business decisions and political pragmatism.

As Trump prepares to retake the White House, Zuckerberg has made several changes at Meta, including scaling back content moderation and fact-checking, and moving safety teams to Texas. These moves appear to align with Trump’s stance on free expression and reducing censorship.

Additionally, Zuckerberg and other tech leaders are likely seeking to build a favorable relationship with the incoming administration to navigate potential regulatory challenges and maintain their business interests. It’s a complex dance of power and influence, with both sides looking to benefit from the alliance.

Recalibrating for Trump

Zuckerberg, who has been summoned to Washington eight times to testify before congressional committees during the last two administrations, wants to be perceived as someone who can work with Trump and the Republican Party, it would appear.

Though Meta’s content-policy updates caught many of its employees and fact-checking partners off-guard, a small group of executives were formulating the plans in the aftermath of the U.S. election results. By the New Year – managers had reportedly begun planning the public announcements of its policy change.

It has been noted that Meta typically undergoes major ‘recalibrations’ after power changes hand. Meta adjusts its policies to best suit its business model and reputational needs based on the political landscape.

Does the company remain true to its original founding principles, whatever they are – or does it ‘cozy up’ with power to re-position itself to benefit politically? Let’s put some more money in the Trump inauguration pot.

Nothing new here then – but go watch the video of Zuckerberg’s announcement.

Does it may you cringe – or is it just me?

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Nvidia unveils new powerful mini-AI computer designed for developers

AI chip

Nvidia is pushing the boundaries of AI technology with its new mini-AI computer, Project DIGITS, recently unveiled at CES 2025

Priced at $3,000, this mini powerhouse aims to bring cutting-edge AI capabilities to individual desks, making it accessible for AI researchers, data scientists, and students who need to develop and test AI models locally.

At the heart of Project DIGITS is Nvidia’s GB10 Grace Blackwell Superchip, a remarkable component that promises up to 1 petaflop of AI performance. This level of computational power enables the mini-AI computer to run large AI models with up to 200 billion parameters, making it suitable for some of the most complex AI tasks.

The computer features 128GB of unified DDR5X memory and up to 4TB of NVMe storage, ensuring that users have ample space and speed to handle data-intensive applications. This combination of memory and storage is particularly beneficial for those who work with large datasets or need to run multiple AI experiments simultaneously.

One of the standout feature of Project DIGITS is its focus on local AI development. By providing a powerful AI platform that doesn’t rely on cloud infrastructure, Nvidia is addressing the needs of developers who require immediate, on-demand AI capabilities. This local approach not only offers faster performance but also enhances data privacy and security, as sensitive data doesn’t need to be transmitted over the internet.

Nvidia’s Project DIGITS is set to be available from Nvidia and its manufacturing partners starting in May 2025. With its impressive specifications and focus on local AI development, this mini-AI supercomputer is poised to become an essential tool for those looking to innovate and iterate on AI projects. Whether you’re an AI enthusiast, a seasoned data scientist, or a curious student, Project DIGITS promises to bring powerful AI capabilities directly to your workspace.

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How is AI regulation likely to affect stock markets in 2025?

AI regulation

As we head into 2025, the landscape of artificial intelligence (AI) regulation is poised to undergo significant changes, and these shifts are likely to have a profound impact on the stock markets.

The introduction of new regulations, particularly in regions like the European Union and the United States, will create both challenges and opportunities for investors.

One of the most anticipated regulatory developments is the European Union’s AI Act, which aims to set a global standard for AI regulation. This act is expected to impose stringent requirements on AI systems, particularly those used in high-risk sectors such as healthcare, finance, and law enforcement.

Companies operating in these sectors will need to invest heavily in compliance, which could lead to increased operational costs and potentially affect their profitability. As a result, stocks of companies heavily reliant on AI technologies may experience volatility as investors react to these new regulations.

In the United States, the political landscape is also shifting, with the incoming administration expected to take a more hands-on approach to AI regulation. President-elect Donald Trump has appointed Elon Musk to co-lead a new ‘Department of Government Efficiency – DOGE‘, which will focus on nascent technologies like AI. Musk’s influence and experience in the AI field could lead to more favourable policies for AI development, but it could also result in increased scrutiny and regulation of AI applications. Musk’s AI vision differs to that of Mark Zuckerberg’s for instance.

This dual approach of promoting innovation while ensuring safety and ethical use of AI could create a dynamic and unpredictable market environment.

The impact of AI regulation on the stock markets will not be uniform across all sectors. While companies in high-risk sectors may face challenges, those in industries like healthcare and finance could benefit from AI’s transformative potential.

For example, AI-driven innovations in healthcare, such as predictive diagnostics and personalised treatment plans, have the potential to revolutionize patient care and reduce costs. Companies that successfully integrate AI into their operations and comply with regulatory requirements could see their stock prices rise as investors recognize the long-term value of these advancements.

However, the regulatory landscape is not without its risks. Companies that fail to adapt to new regulations or face compliance issues may see their stock prices suffer. Additionally, the rapid pace of technological change means that regulations may struggle to keep up, leading to potential legal and financial uncertainties for companies operating in the AI arena.

AI regulation in 2025 is likely to create a complex and dynamic environment for the stock markets. While new regulations will pose challenges for some companies, they will also open up opportunities for those that can navigate the regulatory landscape successfully.

Investors will need to stay informed and agile, as the impact of AI regulation on the stock markets will be both significant and multifaceted.

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S&P 500 enjoyed a 23% gain in 2024 but 2025 may not be so good

The S&P 500 index witnessed big gains right from the start of 2024. In the first quarter of the year, it jumped up 10.20%. That’s around more than 10 times its average gain since 2000.

However, the momentum couldn’t be sustained as the S&P added 3.9% and 5.5% in the second and third quarter of 2024. In any other year, investors might not have been disappointed with those figures. But the index’s first-quarter performance set expectations so high that subsequent quarters seemed to pale in comparison.

In the final quarter of 2024, the S&P limped to a gain of just 1.9%. Making things worse, we did not get a 2024 Santa rally.

Of course, a gain is a good. But it’s hard not to e just a little disappointed when looking back at the highs we enjoyed in early 2024.

That said, a relatively weak end to the year wasn’t enough to dent the gains of the S&P 500 in the early part of 2024, where the index surged 23.30%. The index recorded no fewer than 57 record closes and this on the back of a 24.2% rise in 2023.

Big tech and Artificial intelligence stocks (the Magnificent Seven in particular) were behind much of 2024′s gains. Shares of Nvidia were up by around 171%, while Broadcom jumped 108%. To place this in context – the Magnificent 7’ stocks were responsible for more than half the S&P 500′s 2024 gain. It does beg the question – is the initial AI hype over for now or is there more to come? Has AI settled for the moment?

Uncertainties await the markets in 2025. Investors will have to contend with the incoming Trump administration’s policies, possibly higher-than-expected interest rates for the year, which in turn are keeping Treasury yields elevated, among other headwinds.

Trumps tariffs are on the way.

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What could quantum computing breakthrough ‘Willow’ mean for the future of Bitcoin and other cryptos

Crypto and quantum computing

The advent of quantum computing presents both opportunities and challenges for the field of cryptography, especially in relation to cryptocurrencies.

Quantum computers, leveraging the principles of quantum mechanics, have the potential to revolutionise computing by solving certain problems significantly faster than classical computers.

One of the primary concerns is the impact of quantum computing on cryptographic algorithms that underpin the security of cryptocurrencies like Bitcoin and Ethereum.

Traditional public-key cryptography, which relies on the difficulty of factoring large prime numbers or solving discrete logarithms, could be broken by a sufficiently powerful quantum computer. Algorithms such as RSA, ECC (Elliptic Curve Cryptography), and DSA (Digital Signature Algorithm) could become vulnerable, as quantum algorithms like Shor’s algorithm are capable of efficiently solving these problems.

This potential vulnerability poses a significant threat to the security and integrity of cryptocurrency transactions. If quantum computers can crack these cryptographic codes, they could potentially access private keys, allowing malicious actors to steal funds or forge transactions. As a result, the trust that underpins the entire cryptocurrency ecosystem could be eroded.

However, the quantum threat is not without its solutions. The field of post-quantum cryptography is actively developing new cryptographic algorithms that are resistant to quantum attacks.

These algorithms leverage mathematical problems believed to be hard even for quantum computers, such as lattice-based cryptography, hash-based cryptography, and multivariate polynomial cryptography.

Transitioning to post-quantum cryptographic algorithms is crucial for ensuring the long-term security of cryptocurrencies in a quantum computing era.

In conclusion, while quantum computing poses a formidable challenge to current cryptographic systems, proactive measures and the development of quantum-resistant algorithms can mitigate these risks.

The cryptocurrency industry must stay ahead of the curve, adopting new technologies and strategies to safeguard against potential quantum threats and ensure the continued security and trust in digital currencies.

It has been estimated that the arrival of quantum computer is at least 10 years away. But is that allowing for the use of AI in its creation?

What is Willow and Quantum Computing?

Willow is the start of a new era of ultra-powerful ‘quantum’ microchips designed by Google. Willow’s speed is almost incomprehensible – according to Google, it is able to perform a computation in under five minutes that would take one of today’s fastest supercomputers 10 septillion years to solve.

This new chip design will inevitably lead to new quantum innovations and computer design over the coming years.

Ten septillion is 10,000,000,000,000,000,000,000,000 years.

If you don’t understand (not many people do) what makes up quantum computing – there is a very simplified way simplified way of thinking about the breakthrough.

Imagine a maze and how a classical computer would try to find its way through the maze from start to finish. It would try one potential path at a time. A quantum computer would be able to try each path at the same time.

The quantum computer is coming. The only delay will be in design restrictions and the power needed to run the system.

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Google releases the first of its Gemini 2.0 AI models

Google AI

Google released the first version of its Gemini 2.0 family of artificial intelligence models in December 2024

Gemini 2.0 Flash, as the model is named is available in a chat version for users worldwide, while experimental multimodal version of the model, with text-to-speech image generation capabilities, available to developers.

‘If Gemini 1.0 was about organising and understanding information, Gemini 2.0 is about making it much more useful,’ Google CEO Sundar Pichai reportedly said in a statement.

Google’s latest large language model surpasses its predecessors in most user request areas, including code generation and the ability to provide factually accurate responses. However, it falls short compared to Gemini1.5 Pro when it comes evaluating longer contexts.

To access the chat-optimized version of the experimental Flash 2.0, Gemini users can select from the drop-down menu on both desktop and mobile web platforms. According to the company it will soon be available on the Gemini mobile app.

The multimodal version of Gemini Flash .0 will be accessible through Google’s AI Studio and Vertex AI developer platforms.

The general availability of Gemini 2.0 Flash’s multimodal version is scheduled for January, along with additional Gemini 2.0 model sizes, Google announced. The company also plans to expand Gemini 20 to more Google products in early 2025.

Gemini 2.0 signifies Google’s latest efforts in the increasingly competitive AI industry. Google is competing with major tech rivals such as Microsoft and Meta, as well as startups like OpenAI, the creator of ChatGPT, Perplexity, and Anthropic, which developed Claude.

In addition to new Flash, other research prototypes are aimed at developing more ‘agentic’ AI models and experiences. According to the company, agentic models ‘can understand more about the world around you, think multiple steps ahead, and take action on your behalf, with your supervision’.

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Nvidia in correction territory amid Nasdaq highs

AI microchip

Nvidia recently entered correction territory, with its stock falling over 10% from its peak. This decline comes after a robust rally fueled by investor excitement around AI technology.

Despite Nvidia’s slip, the Nasdaq Composite continues to soar to new highs, driven by strong performances from other tech giants like Apple, Microsoft, and Alphabet.

The market’s mixed signals reflect a broader trend of sector rotation. Investors are taking profits from Nvidia after its impressive gains and reallocating their capital to other promising tech stocks. This strategy allows investors to lock in profits while still capitalising on the overall bullish sentiment in the tech sector.

The Nasdaq’s resilience, despite Nvidia’s downturn, highlights the strength and diversity of the technology sector. While Nvidia’s correction is a reminder of the volatility inherent in high-growth stocks, the broader market remains optimistic about the future of technology and innovation.

Market analysts suggest that Nvidia’s correction may be a healthy pause, providing an opportunity for the stock to consolidate before potentially resuming its upward trajectory. As the tech landscape continues to evolve, both Nvidia and its peers remain at the forefront of driving the next wave of digital transformation.

Investors should stay vigilant, monitoring both market trends and individual stock performance to navigate this dynamic environment effectively.

Nvidia is still holding its $3.2 trillion market cap valuation reached this year.

Nvidia one month chart as of 16th December 2024

Nvidia one month chart as of 16th December 2024