Category: Bits & Bytes

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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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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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Trump’s SEC prepares new ‘crypto task force’ to regulate the industry

Crypto regulation

On 21st January 2025, the U.S. Securities and Exchange Commission (SEC) announced the formation of a new cryptocurrency task force under the leadership of President Donald Trump.

This initiative marks a significant shift in the regulatory landscape for digital assets, aiming to provide a comprehensive and clear framework for the industry.

Task force

The task force, led by Commissioner Hester Peirce, also known as ‘Crypto Mom,’ is designed to address the regulatory challenges that have plagued the crypto industry for years.

The primary objectives of the task force include drawing clear regulatory lines, providing realistic paths to registration, crafting sensible disclosure frameworks, and deploying enforcement resources judiciously.

This approach contrasts sharply with the previous administration’s reliance on enforcement actions, which often left the industry in a state of confusion and uncertainty.

The announcement has generated a wave of optimism among crypto enthusiasts and investors. The price of Bitcoin, for instance, saw a notable increase following the news, reflecting the market’s positive reception.

But before this announcement, Bitcoin was already in an upward trajectory following the positive news swirling around Trump after he won the U.S. election.

Industry leaders are hopeful that the new regulatory environment will foster innovation while protecting investors and maintaining market integrity.

Commodity Futures Trading Commission

One of the key aspects of the task force’s mandate is to collaborate with other government agencies, Congress, and international bodies to ensure a cohesive regulatory approach.

This includes working closely with the Commodity Futures Trading Commission (CFTC) and other federal departments to harmonize regulations and provide technical assistance to Congress as it considers changes to the existing legal framework.

The task force’s formation is seen as a pivotal moment for the crypto industry, signalling a more welcoming and structured regulatory environment. As the task force begins its work, the industry eagerly anticipates the development of clear and practical guidelines that will support the growth and maturation of the digital asset market.

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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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Apple’s inaccurate AI news alerts demonstrate that its technology has a problem

AI

It’s not just any Artificial Intelligence… its Apple Intelligence

Last week, a newly launched feature by Apple that uses artificial intelligence to summarise users’ notifications inaccurately summarised BBC News app notifications, falsely claiming that British darts player Luke Littler had won the PDC World Darts Championship (before he actually did) and that Luigi Manione shoots himself – both were incorrect.

This is not the first instance of Apple’s AI system, known as Apple Intelligence, disseminating false news notifications to users. The BBC has been attempting for approximately a month to persuade Apple to resolve the issue.

Apple informed the BBC that it is working on an update to address the issue by indicating when the text displayed in notifications is summarisation generated by Apple Intelligence.

Apple touts its AI-generated notification summaries as an effective way to group and rewrite previews of news app notifications into a single alert on a users’ lock screen.

It’s a feature Apple says is designed to help users scan their notifications for key details and cut down on the overwhelming barrage of updates many smartphone users are familiar with.

However, this has resulted in what AI experts refer to as ‘hallucinations’ – responses generated by AI that contain false or misleading information.

The BBC want Apple to fix the issue urgently or remove the failed AI system entirely.

“These AI summarisations by Apple do not reflect – and in some cases completely contradict – the original BBC content,” the BBC reportedly said.

“It is critical that Apple urgently addresses these issues as the accuracy of our news is essential in maintaining trust.”

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China’s electric vehicle boom is becoming increasingly focused on hybrids

Hybrid vehicle

Hybrid-powered vehicles are becoming more popular than battery-only ones in China, according to latest full-year reports, even as consumers move away from fossil-fuel-only cars.

Market leader BYD reported that well over half of the 4.3 million passenger cars it sold in 2024 were hybrid-powered, marking a significant reversal from 2023.

Chinese electric car start-ups that have exclusively sold battery-powered vehicles generally delivered fewer cars in 2024 compared companies that also offered hybrid models.

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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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Apple launches its Apple Intelligence – ChatGPT integration with Siri

Apple Intelligence

Apple has finally rolled out updates for iPhone on Wednesday 11th December 2024, iPad, and Mac software, featuring the highly anticipated ChatGPT integration with Siri.

The integration is activated when Siri is posed with complex questions. If a question is deemed more suitable for ChatGPT by Apple’s software, Siri will request user consent to utilise the OpenAI service. Apple has incorporated privacy safeguards into this feature, ensuring that OpenAI does not retain any requests. This integration employs the GPT-4o model from OpenAI.

No OpenAI account is necessary for Apple users to engage with the ChatGPT feature, although Apple offers paid upgrades for ChatGPT. Additionally, ChatGPT can be accessed via certain text menus.

The launch of iOS 18.2 marks a pivotal point for Apple, which is banking on Apple Intelligence to spearhead the marketing for its iPhone 16 series. Apple Intelligence encompasses a range of artificial intelligence capabilities. The ChatGPT integration was initially revealed in June 2024.

The inaugural segment of Apple Intelligence was introduced in October 2024, including text editing tools capable of proofreading or rephrasing, a revamped Siri interface that illuminates the entire phone screen, and a summary of notifications.

Next year, Apple plans to introduce a further update to Apple Intelligence, promising substantial enhancements to Siri that will enable it to perform tasks within apps.

Many investors are of the opinion that the addition of features to Apple Intelligence will enhance iPhone sales, initiate an upgrade cycle, and possibly establish Apple as a frontrunner in consumer AI.

This integration marks a significant triumph for OpenAI by showcasing its flagship product to millions of iPhone users. The financial details of the partnership between Apple and OpenAI remain undisclosed.

To install and utilise Apple Intelligence, users must have an iPhone 15, iPhone 15 Pro, or any iPhone 16 model, despite the fact that ChatGPT integration mainly operates on cloud servers – iPhone owners can enable software updates in the General tab of the Settings app.

Upon updating to the newest Apple software, users will be prompted to configure Apple Intelligence. Their devices will have to download substantial files, including Apple’s AI models, which are necessary for the service’s functionality.

The updates also bring Apple’s image creation app, named Playground, which generates images from people’s descriptions or prompts, and Image Wand, a tool that lets users edit out objects or imperfections from photos.

Apple finally issue a version of AI – not just any AI but Apple Intelligence, whatever that really means.

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OpenAI releases Sora – its new AI video-generation tool

Video generation from OpenAI

OpenAI, which gained widespread attention last year due to the popularity of ChatGPT, initially announced Sora in February 2024, it has now been rolled out to users in the U.S. and other countries during the week commencing Monday 9th December 2024.

The AI video-generation model operates similarly to OpenAI image-generation tool, DALL-E: the user inputs a desired scene, and Sora produces a high-definition video clip.

Sora can also create video clips inspired by still images and can extend existing or fill in missing frames. The Microsoft-backed artificial intelligence which surged into the mainstream last year because of ChatGPT’s viral success.

OpenAI said users don’t need to pay extra for the tool, which will be included in existing ChatGPT accounts such as Plus and Pro. Employees on the livestream and OpenAI CEO Sam Altman demonstrated features like ‘Blend’ (joining two scenes together at the user’s direction), as well as the option to make an AI-generated video endlessly repeat.

Until now, Sora has mainly been available to a small group of safety testers, or ‘red-teamers’, who test the model for vulnerabilities in areas such as misinformation and bias.

It’s all part of a serious growth plan for OpenAI, as the Microsoft-backed artificial intelligence startup battles Amazon-backed Anthropic, Elon Musk’s xAI, Google’s Gemini, Meta, Microsoft and Amazon for the biggest slice of the generative AI market, which is predicted to top $1 trillion in revenue within a decade.

Earlier this month, OpenAI appointed its first chief marketing officer, signalling intentions to increase marketing expenditures to expand its user base. Additionally, in October 2024, OpenAI introduced a search feature within ChatGPT, enhancing its ability to compete with search engines such Google and Microsoft’s Bing potentially attracting users who would otherwise visit those platforms for web searches.

With Sora, the creator of ChatGPT to compete with video-generation AI tools from companies such as Meta and Google, which announced Lumiere in January. Similar AI is offered by other startups, including Stability AI’s Stable Video Diffusion. Additionally, Amazon has launched Create with Alexa, a model that focuses on generating prompt-based short, animated content for children.

Video may represent the next frontier generative AI, following the integration of chat and generators into both consumer business sectors. Although the creative potential may exhilarate certain AI enthusiasts these new technologies also pose significant concerns, particularly as major political elections take place worldwide.

According to data from Clarity, a machine learning business, the number of AI-generated deepfakes has surged by 900% year over year.

The new AI frontier is both exciting and concerning at the same time.

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Tesla shares climb to record high – boosted by Trump election victory

Tesla EV

Tesla shares soared to an all-time high on Wednesday exceeding their previous record set in 2021, driven by a post-election rally and heightened enthusiasm Wall Street for Elon Musk’s electric vehicle company.

The stock increased to an intraday high of $415, exceeding its previous peak by 50 cents and closed above its highest finish of $409.97 recorded on 4th November 2021.

Tesla’s market has increased reportedly increased by around 69% this year, with nearly all of those gains occurring after Trump’s election victory early last month. The stock’s 38% rally in represented its monthly performance since January 2023 and ranks as the 10th best on record.

Reportedly according to Federal Election Commission filings, Musk invested $277 million into a pro-Trump campaign effort and transformed his support for the Republican nominee into a full-time job in the lead-up to the election. He financed an operation in swing states to register voters and utilised his social media platform, to promote his chosen candidate, often disseminating misinformation.

The world’s wealthiest individual, whose net worth has increased to over $360 billion, is poised to head the Trump administration’s ‘Department of Government Efficiency,’ DOGE – together with former Republican presidential candidate Vivek Ramaswamy.

The newly formed DOGE will be tasked with culling government bureaucracy by streamlining and junking departments.

Musk’s role may grant him authority over the budgets and staffing of federal agencies, well as the capability to advocate for the removal of inconvenient regulations. During a Tesla earnings call in October, Musk reportedly stated intention to leverage his influence with Trump to create ‘Federal approval for autonomous vehicles.’ At present, approvals are at the state level.

Is business now openly running he U.S. government?

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China initiates investigation into Nvidia as the microchip battle rumbles on

Tech tug 'o' war

China has reportedly initiated a probe into Nvidia, the US computer chip manufacturer, over purported breaches of anti-monopoly regulations.

The company’s shares fell by over 3% following the announcement, signalling the latest development in the ongoing tech conflict between the U.S. and China over the profitable semiconductor market.

Over recent weeks, the U.S. imposed stricter restrictions on the sale of certain exports to Chinese firms, and the dispute over the industry is anticipated to persist as Donald Trump returns to the White House.

Established in 1993, the company initially gained recognition for producing computer chips designed to process graphics, especially for video games.

Today, the tech giant leads in developing chips that drive artificial intelligence (AI), boasting a market value exceeding $3 trillion.

Its increasing control over the market has drawn scrutiny from competition regulators in the U.S. and internationally. Recently, the firm confirmed that it had been approached by regulatory bodies globally, including those in the U.S., UK, European Union, South Korea, and China.

The business finds itself at the centre of escalating geopolitical and economic tensions between the U.S. and China, with both nations vying for supremacy in advanced chip technology.

Nvidia disclosed last month that sales to China, including Hong Kong, represented approximately 13% of this year’s revenue to date.

However, this figure has declined following Americas enhancement of restrictions on sophisticated technology exports to Chinese companies, citing national security concerns. Chinese state media reported that Beijing had initiated an investigation.

The inquiry alleges that Nvidia breached commitments established during its 2020 acquisition of Mellanox Technologies, a smaller entity.

This development follows the U.S.’s recent intensification of restrictions, affecting sales to 140 entities, including Chinese chip companies such as Piotech and SiCarrier, barring special authorisation.

In retaliation, China reportedly imposed stringent new regulations on the export of crucial minerals to the U.S., such as antimony, gallium, and germanium. Observers have highlighted the significance of these measures, noting they specifically target the U.S rather than imposing general restrictions.

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Google unveils ‘mind-boggling’ quantum computing microchip

Quantum computing power

Google has unveiled a new chip which it claims takes five minutes to solve a problem that would currently take the world’s fastest super computers ten septillion or 10,000,000,000,000,000,000,000,000 years to complete.

Google’s Quantum Leap: The Willow chip

In a groundbreaking achievement, Google has unveiled its latest quantum computing chip, named Willow. This new chip marks a significant milestone in the journey toward realising the full potential of quantum computing, a technology that promises to revolutionise numerous fields through its unparalleled processing power.

Unprecedented speed and efficiency

At the core of Willow’s innovation is its remarkable ability to perform computations at speeds previously deemed impossible. To put this into perspective, Willow can solve a complex problem in just five minutes – a task that would take the world’s most advanced supercomputers an astounding 10 septillion years to complete. This leap in speed and efficiency showcases the potential of quantum computing to tackle problems beyond the reach of classical computers.

This quantum power combined with artificial intelligence will become a formidable force in the world, potentially a foe!

Breakthrough in Quantum error correction

One of the most significant advancements with the Willow chip lies in its approach to quantum error correction. Traditionally, error rates in quantum computations have posed a substantial barrier to practical applications. Willow, however, exhibits an exponential reduction in errors as more qubits (quantum bits) are integrated into the system. This breakthrough in error correction brings the technology closer to practical, large-scale quantum computing, paving the way for more reliable and accurate results.

Potential applications and future prospects

While Willow represents a monumental step forward, experts caution that a fully functional, widely applicable quantum computer is still years away. Nonetheless, the potential applications of quantum computing are vast, ranging from breakthroughs in medicine and drug discovery to advancements in artificial intelligence and energy solutions. With continued investment and research, Willow could be the precursor to a new era of technological innovation, fundamentally altering how we approach complex problems.

Expert insights

Leading experts in the field commend Google’s achievement, highlighting Willow’s significance in the broader context of quantum computing development. While challenges remain, the unveiling of Willow underscores the rapid progress being made and the exciting possibilities that lie ahead. As we stand on the brink of a quantum revolution, Willow serves as a beacon of what the future may hold.

Conclusion

Google’s Willow chip is more than just a technological marvel; it represents the relentless pursuit of innovation and the profound impact that quantum computing can have on our world.

As research continues and technology evolves, Willow stands as a testament to the incredible possibilities that lie within the realm of quantum physics.

Quantum computers operate on a fundamentally different principle than the computer in your phone or laptop. They utilise quantum mechanics, which governs the peculiar behaviour of particles at the smallest scales, to solve problems much more quickly than conventional computers.

The hope is that quantum computers will one day accelerate complex tasks, like the development of new medications. However, there are concerns that this power could be misused, such as breaking certain forms of encryption that safeguard sensitive information.

Google shares climbed 6% after the announcement.

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Bitcoin breaks the $100,000 barrier

In a historic moment for the cryptocurrency world, Bitcoin has finally breached the $100,000 mark.

This milestone, reached on 5th December 2024, signifies a notable triumph for Bitcoin enthusiasts and investors who have endured the market’s volatility over the years.

The cryptocurrency value surge past $100,000 followed Donald Trump’s election as President of the United States. Trump’s favorable stance on crypto and his commitment to deregulate the sector are believed to have enhanced investor confidence. The momentum was further increased by his decision to nominate Paul Atkins, a recognized proponent of cryptocurrency, as the new chairman of the Securities and Exchange Commission (SEC).

Since the creation of the first Bitcoin ETF there have been massive inflows invested in this asset helping to push Bitcoin ever higher.

Bitcoin’s ascent to $100,000 has been tumultuous. Beginning the year at approximately $38,505, the cryptocurrency has experienced an impressive 155% increase to date. The surge was especially notable in the fortnight after Trump’s victory, with Bitcoin’s value soaring by about 45%.

Bitcoin’s ascent has triggered a ripple effect throughout the wider cryptocurrency market, now valued at a combined $3.78 trillion. This upsurge has reinforced Bitcoin’s preeminence in the digital asset arena and garnered considerable interest from institutional investors.

Despite the festive atmosphere, some analysts warn that Bitcoin’s well-known volatility is still worrisome. Although numerous investors have realized significant profits, the asset’s high-risk profile may not be appropriate for all. Nevertheless, the prevailing mood within the cryptocurrency community is one of optimism, fueled by the expectation that the incoming administration will create a regulatory climate more conducive to digital assets.

Bitcoin’s record-breaking streak continues, signaling a bright future for the renowned cryptocurrency. Its evolution from a peer-to-peer electronic cash system to a trillion-dollar asset highlights the revolutionary impact of blockchain technology.

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Bitcoin’s flirt with $100,000 may be one bitcoin too far

Bitcoin

Bitcoin flirted with the $100,000 mark, coming within less than $1,000 of that psychological threshold. However, it failed to breach this peak, falling back to as low as $90,702. on Tuesday 26th November 2024. It has since rallied, trading at approximately $96,697 early on 29th November 2024. But still off the $100,000 barrier.

Investors taking profits

One factor contributing to the fall was investors capitalising on Bitcoin’s exceptionally high price, which increased the supply of Bitcoin. Long-term holders began to release substantial quantities of Bitcoin during the recent surge.

However, there are deeper reasons why some strategists remain uncertain about Bitcoin’s ability to reach the six-figure milestone. The $100,000 mark seems to have become a significant obstacle, if not an outright barrier, to further increases.

Leveraged to the hilt

Indeed, the recent surge in Bitcoin’s value could be instilling a misleading sense of confidence among investors. Viewing Bitcoin as a speculative bet or a means to achieve returns, it appears that investors are flocking to Bitcoin primarily for potential capital gains rather than its intrinsic value or practical applications.

The recent introduction of options for spot Bitcoin exchange-traded funds could be influential. Options provide investors with a way to speculate on Bitcoin’s price fluctuations without the need to invest in Bitcoin directly.

It’s leveraged to the hilt and there most likely will be a correction anytime soon.

That being said, a correction does not equate to lasting deflation. Should even a portion of U.S. President-elect Donald Trump’s commitments to the cryptocurrency sector materialise, the $100,000 mark might not represent a peak, but merely another milestone that Bitcoin surpasses during its triumphant ascent.

But remember, in my opinion and for what it’s worth – it is just a punt, not an investment.

Bitcoin one-day chart as of 29th November 2024 (11:16 am)

Bitcoin one-day chart as of 29th November 2024 (11:16 am)
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60 British inventions for the world

UK inventions

The United Kingdom has given the world an impressive array of groundbreaking inventions that have transformed various aspects of modern life

From Isaac Newton’s reflecting telescope in 1668 to Frank Whittle’s jet engine in 1937 and Tim Berners-Lee’s creation of the World Wide Web in 1989.

British inventors have continually pushed the boundaries of science and technology. The development of penicillin by Alexander Fleming in 1928 revolutionised medicine, while Michael Faraday’s work on the electric motor and electromagnetic induction laid the foundation for modern electrical engineering.

Innovations like the steam engine, the world’s first underground railway, stainless steel, and the hovercraft have significantly advanced transportation and industry.

Contributions such as the structure of DNA by Francis Crick and James Watson, the MRI scanner by Sir Peter Mansfield, and the vaccination by Edward Jenner have had profound impacts on health and science.

These inventions reflect the ingenuity and creativity that have positioned the UK as a leader in innovation and progress.

Top 60 list of British inventions – in no particular order

The Reflecting Telescope (Isaac Newton, 1668)

The Seed Drill (Jethro Tull, 1701)

The Steam Engine (Thomas Savery, 1698; improved by James Watt, 1765)

The World’s First Underground Railway (The Tube) (1863)

Penicillin (Alexander Fleming, 1928)

The Jet Engine (Frank Whittle, 1937)

The Electric Light Bulb (Joseph Swan, 1879)

The World Wide Web (Tim Berners-Lee, 1989)

Stainless Steel (Harry Brearley, 1913)

The Electric Motor (Michael Faraday, 1821)

The First Programmable Computer (Charles Babbage, 1837)

The Thermos Flask (Sir James Dewar, 1892)

Television (John Logie Baird, 1925)

Vaccination (Edward Jenner, 1796)

The Steam Locomotive – (George Stephenson, 1814)

The Lawnmower (Edwin Budding, 1830)

The Hovercraft (Christopher Cockerell, 1955)

The Safety Bicycle (John Kemp Starley, 1885)

The Cat’s Eye Road Reflector (Percy Shaw, 1934)

The Structure of DNA (Francis Crick and James Watson, 1953)

Concorde (British and French collaboration, 1969)

The Fax Machine (Alexander Bain, 1843)

The Electric Transformer (Michael Faraday, 1831)

Electromagnetic Induction (Michael Faraday, 1831)

Radar (Sir Robert Watson-Watt, 1935)

The Spinning Frame (Richard Arkwright, 1769)

The MRI Scanner (Sir Peter Mansfield, 1971)

The ATM (John Shepherd-Barron, 1967)

The Marine Chronometer (John Harrison, 1761)

The Tin Can (Peter Durand, 1810)

The Hydrogen-Oxygen Fuel Cell (Sir William Grove, 1839)

The Floating Breakwater (Sir Samuel Bentham, 1804)

The Sinclair ZX80 (First Affordable Home Computer) (Sir Clive Sinclair, 1980)

The Universal Joint (Robert Hooke, 1667)

The Submarine Periscope (Sir Howard Grubb, 1914)

The Identity Card System (Sir Edward Henry, 1916)

The Collapsible Baby Carriage (Owen Maclaren, 1965)

Thermal Insulation (Lord Kelvin, 1894)

The Jet Engine (Sir Frank Whittle) – successfully tested in 1941

The Jet Engine Afterburner (Sir Frank Whittle, 1946)

Carbon Fibre (Sir Harold Kroto, 1961)

The Modern Ship Propeller (Francis Pettit Smith, 1836)

Automatic Windshield Wipers (Gladstone Adams, 1921)

The Computer From early mechanical computers to modern electronic computers by Charles Babbage, ADA Lovelace (1842) to modern electronic computers – Sir Clive Sinclair

The Fire Extinguisher (George William Manby, 1818)

The Postage Stamp (Rowland Hill, 1840)

The Flushable Toilet – Sir John Harrington (1596) – (Thomas Crapper, 1861)

Torpedo (Robert Whitehead, 1866)

The Triple Expansion Steam Engine (Arthur Woolf, 1804)

The Bicycle – Kirkpatrick Macmillan (1842)

IVF – Robert Edwards, Patrick Steptoe & Jean Purdy

The Telephone – Alexander Graham Bell (1876)

The Cat’s Eye – Percy Shaw (1934)

Pneumatic Tyre – Robert William Thompson (1847)

The Refrigerator – William Cullen (1755)

The Steam Engine – Thomas Newcomen (1712)

Cement – Joseph Aspdin (1842)

The Thermos Flask – Sir James Dewar (1892)

The Cat Flap – Sir Isaac Newton

The above are just a few examples of British ingenuity and creative inventive ability.

The UK is renowned for its inventiveness and continues to have a wealth of contributions to offer the world