Slow-Growing UK Faces Over £2.6 Trillion Debt Pile
£2,600,000,000,000 in debt
The amount the UK owes exceeds GDP for first time since 1961. Inflation-linked bonds mean the UK is paying more than its peers.
From the financial crisis to Russia’s invasion of Ukraine, the UK has borrowed and spent its way out of every jam. The bill for that is becoming a massive concern for the UK treasury and for the economy.
£2.6 trillion public debt
The UK’s public debt has soared by more than 40% to almost £2.6 trillion ($3.3 trillion) since the pandemic struck, leaving the country owing more than its entire annual economic output for the first time since 1961. A heavy reliance on index-linked bonds, at a time of high inflation, also means Britain will pay more to service the debt.
The high level of debt poses a risk to the UK’s credit rating, which could affect its borrowing costs and fiscal credibility. The three main credit-rating firms are due to update their assessments of the UK over the next four months in 2023, and some analysts are concerned that the UK could face a downgrade, especially after the U.S. lost its AAA status from Fitch.
A downgrade could undermine Prime Minister Rishi Sunak’s effort to rebuild Britain’s fiscal reputation after his predecessor, Liz Truss, triggered a bond-market crash in 2022 by promising huge unfunded tax cuts.
Bond sell-off pressure
The pressure on the UK’s finances is also being compounded by a selloff in bonds amid aggressive rate hikes by the Bank of England to quell inflation. The yield on the 10-year benchmark this week rose above 4.70% to its highest since 2008.
UK debt higher than UK GDP March 2023
The UK bond market is among the developed world’s worst performers this year. The rise in yields could increase the cost of servicing the debt, which is already high due to the UK’s heavy reliance on index-linked bonds that adjust with inflation.
The UK’s economic growth is forecast to remain flat through next year, which limits the scope for reducing the debt through higher revenues or lower spending. The National Health Service is stretched to breaking point and the tax burden is already at a 70-year high. The ONS warned that debt could balloon to more than three times GDP over the next half century without action.
ONS data
According to the latest data from the Office for National Statistics (ONS), the UK’s gross domestic product (GDP) grew by 0.2% in the second quarter of 2023 (April to June), following a revised growth of 0.1% in the first quarter of 2023 (January to March). This means that the UK’s GDP growth rate for the whole year of 2023 is estimated to be 0.3%, which is lower than the previous forecast of 0.5%.
ONS data to March 2023
The main factors that contributed to the weak GDP growth in the second quarter were the slowdown in consumer spending, the decline in business investment, and the negative impact of the additional bank holiday in May due to the King’s Coronation. The services sector, which accounts for about 80% of the UK’s economy, grew by only 0.1% in the second quarter, while the production sector grew by 0.7%, and the construction sector fell by 0.2%.
Uncertain outlook in uncertain times
The outlook for the UK’s economy remains uncertain, as it faces several challenges such as high inflation, rising interest rates, a slowing global economy, and the ongoing effects of Brexit and the effects of the war in Ukraine.
ONS data for EU countries
Some economists have warned that the UK faces a ‘very real risk’ of recession due to higher interest rates, which could dampen consumer and business confidence and increase the cost of servicing the debt.
The OECD has projected that the UK’s GDP growth will improve moderately to 1.0% in 2024, but still remain below its pre-pandemic level.
The latest U.S. mortgage rates are the highest they have been in decades.
The average 30-year fixed-rate mortgage rose to 7.23% in the week ending 25th August 2023, up from 7.09% the week before, according to latest bank reports from U.S. This is the highest level since June 2001, when it was 7.24%.
The rate on a 30-year fixed mortgage increased to 7.31% in the week ended 18th August 2023, according to Mortgage Bankers Association data. This is the highest level since late 2000.
The 30-year fixed mortgage rate averaged 7.16% with 0.68 points as of August 16, according to U.S. News. This is up from 7.09% with 0.7 points the previous week. The adjustable-rate mortgage increased to 7.6%.
Inflation driving interest rates up
The rise in mortgage rates is driven by indications of ongoing economic strength and inflation pressures, which have also pushed up Treasury yields and the Federal Reserve’s interest rate expectations.
Higher mortgage rates make home buying more expensive and reduce the affordability of homeownership. They also discourage existing homeowners from selling or refinancing their homes, which contributes to the low inventory of available homes for sale.
As a result, home sales have declined and home prices have soared in many markets. Will interest rates touch 8%?
Technology giant Nvidia reports its sales have hit a record after more than doubling as demand for its artificial intelligence (AI) chips take off!
It figures
The company says revenue jumped to above $13.5bn (£10.6bn) for the three months to the end of June. Nvidia also expects sales to perform very well in the current quarter and plans to buy back $25bn of its stock. The firm’s shares rose by more than 6.5% in extended trading in New York, adding to their huge gains this year. Nvidia also said it expects revenue of around $16bn for the three months to the end of September 2023.
That is substantially higher than Wall Street expected and would equate to a rise of around 170%, compared to the same time last year.
Even before 23rd August’s figures, Nvidia’s stock price had more than tripled for the year, making it the top performer in the S&P 500. It’s share price jumped to around $500 after hours, a level that would mark a record if it closes there on 24th August 2023. Its prior closing high was $474.94 on 18th July 2023.
‘A new computing era has begun’, Nvidia’s chief executive, Jensen Huang, said in a statement. ‘Companies worldwide are transitioning from general-purpose to accelerated computing and generative AI’, he reportedly added.
Strong performance
The strong performance was driven by Nvidia’s data centre business, which includes AI chips.
The power of Nvidia’s AI microchips
Revenue for that unit came in at more $10.3bn, a rise of more than 170% from year ago, as cloud computing service providers and large consumer internet companies snapped up its next-generation processors.
This year, Nvidia’s stock market value has jumped to more than $1 trillion as its shares more than tripled in value, mking it the fifth publicly traded U.S. company to join the so-called ‘Trillion dollar club’, along with Apple, Amazon, Alphabet and Microsoft.
AI ‘mania’ helps Nvidia
Nvidia have been making micro chips for a long time and it’s only really been in the last couple of years that the market has caught on.
Nvidia was originally known for making the type of computer chips that process graphics, particularly for computer games. They have been making chips for a long time and have now become the leader in AI chip design and manufacture.
Now Nvidia’s hardware is the foundation for most AI applications, with one report suggesting it had cornered 95% of the market for machine learning.
ChatGPT which generates human-like responses to user queries within seconds was trained using 10,000 of Nvidia’s graphics processing units clustered together in a supercomputer belonging to Microsoft.
AI products are expected to dramatically change how we use computers and the role they play in our lives.
Inspirational achievement, as India becomes only the fourth country in the world to successfully land on the moon and the first at the south pole
India became a new national superpower in space on 23rd August 2023, landing its Chandrayaan-3 mission safely on the moon’s unexplored south pole. The Chandrayaan-3 spacecraft launched last month and touch downed on the lunar surface around 13:34 GMT.
The Chandrayaan-3 spacecraft launched last month and touch downed on the lunar surface around 13:34 GMT. The feat makes India the fourth country, after Russia, the U.S. and China – to land on the moon, and the first to land on one of the moon’s lunar poles.
South pole is the place to explore
The lunar south pole has emerged as a place of recent exploration interest thanks to recent discoveries about traces of water ice on the moon. India previously attempted a lunar south pole landing in September 2019, but a software failure caused the Chandrayaan-2 mission to crash into the surface.
The south pole is the place to be right now as it is such a very interesting, historical, scientific and geologic area that a lot of countries are trying to get at that can serve as a base for future exploration.
The discovery of water on the south pole of the moon is important for future exploration, as it could serve as a source of fuel for rockets and spacecraft.
Days prior to Chandrayaan-3′s scheduled landing, Russia attempted to land its first spacecraft on the moon in almost 50 years. But the Luna-25 mission crashed into the lunar surface on Saturday, with Russian space agency Roscosmos confirming the spacecraft spun out of control.
To infinity and beyond
During a June visit from India’s Prime Minister Narendra Modi, he signed agreements alongside President Joe Biden to join the Artemis Accords and further collaborate on missions between Indian Space Research Organisation – ISRO and NASA. Next year, the space agencies are expected to work together to fly Indian astronauts to the International Space Station.
No looking back! India becomes only 4th country in the world to land on the moon’s south pole August 23rd 2023
India has also done more with less than its top global counterparts, with ISRO’s annual budget a fraction of NASA’s. In 2020, ISRO estimated the Chandrayaan-3 mission would cost about $75 million. The Covid pandemic delayed the Chandrayaan-3 mission from launching in 2021.
The lander – called Vikram after Indian Space Research Organisation (ISRO) founder Vikram Sarabhai – carries within its belly the 26kg rover named Pragyaan, the Sanskrit word for wisdom.
One of the mission’s major goals is to hunt for water-based ice, which scientists say could support human habitation on the Moon in future and allow for easier future space exploration.
AI Chatbot ChatGPT reportedly has a political bias
ChatGPT, the popular artificial intelligence chatbot, shows a significant and systemic left-wing bias, UK researchers have found. According to the new study by the University of East Anglia, this includes favouring theLabour Party and President Joe Biden’s Democrats in the U.S.
Concerns about an inbuilt political bias in ChatGPT have been raised before, notably by SpaceX and Tesla tycoon Elon Musk, but the academics said their work was the first large-scale study to find proof of any favouritism.
Lead author o the report reportedly warned that given the increasing use of OpenAI’s platform by the public, the findings could have implications for upcoming elections on both sides of the Atlantic. Any bias in a platform like this is a concern’, he said. If the bias were to the right, we should be equally concerned.
Sometimes people forget these AI models are just machines. They provide very believable, digested summaries of what you are asking, even if they’re completely wrong. And if you ask it ‘are you neutral’, it says ‘oh I am!’ Just as the media, the internet, and social media can influence the public, this could be very harmful. I have personally witnessed incorrect responses from ChatGPT where the AI ‘system’ 100% believed ‘it’ was correct and would not engage in a debate as ‘it’ was right!
How was ChatGPT tested for bias?
The chatbot, which generates responses to prompts typed in by the user, was asked to impersonate people from across the political spectrum while answering dozens of ideological questions. These questions ranged from radical to neutral, with each ‘individual’ asked whether they agreed, strongly agreed, disagreed, or strongly disagreed with a given statement.
UK researchers descovered Chatbot ChatGPT had a political bias
Its replies were compared to the default answers it gave to the same set of queries, allowing the researchers to compare how much they were associated with a particular political stance.
Each of the more than 60 questions was asked 100 times to allow for the potential randomness of the AI, and these multiple responses were analysed further for signs of bias.
Dr Motoki described it as a way of trying to simulate a survey of a real human population, whose answers may also differ depending on when they’re asked.
Arm is a British semiconductor and software design company that is known for its Arm processors, which are widely used in smartphones, tablets, laptops, and other devices. Arm was founded in 1990 as a joint venture between Acorn Computers, Apple Computer, and VLSI Technology. The company was originally called Advanced RISC Machines, but later changed its name to Arm Ltd in 1998.
In 1985, the first Arm silicon chip was created by Acorn engineers Sophie Wilson and Steve Furber, who designed a 32-bit processor with a simple and elegant instruction set.
In 1990, Arm was spun off from Acorn as a separate company, with Apple as a major investor. Arm’s first product was the ARM6 processor, which was used in Apple’s Newton personal digital assistant.
Impression of the Apple Newton PDA device
In 1993, Arm introduced the ARM7 processor, which became one of the most successful embedded processors in history. It was used in devices such as the Nokia 6110 mobile phone, the Nintendo Game Boy Advance, and the Lego Mindstorms robotics kit.
In 1994, Arm launched the ARM9 processor family, which offered higher performance and lower power consumption than previous generations. The ARM9 was used in devices such as the Sony PlayStation Portable, the Palm Treo smartphone, and the Amazon Kindle e-reader.
In 1997, Arm introduced the ARM10 processor family, which featured a superscalar architecture and a floating-point unit. The ARM10 was used in devices such as the Apple iPod, the Samsung Galaxy S smartphone, and the Raspberry Pi computer.
In 1998, Arm changed its name from Advanced RISC Machines to Arm Ltd, reflecting its global expansion and recognition.
In 1999, Arm launched the ARM11 processor family, which featured a vector floating-point unit and a TrustZone security extension. The ARM11 was used in devices such as the iPhone 3G, the Nintendo DS, and the Raspberry Pi Zero.
In 2000, Arm became a public company, listing on the London Stock Exchange and the Nasdaq. The company raised £213 million in its initial public offering.
In 2001, Arm introduced the Cortex processor family, which offered a range of performance, power, and cost options for different applications. The Cortex processors are used in devices such as the Samsung Galaxy S10, the Apple Watch, and the Tesla Model 3.
In 2005, Arm acquired Artisan Components, a provider of physical intellectual property (IP) for chip design. This enabled Arm to offer a complete solution for system-on-chip (SoC) development.
In 2006, Arm announced the Mali graphics processing unit (GPU) family, which complemented its CPU offerings with high-performance graphics capabilities. The Mali GPUs are used in devices such as the Huawei Mate 20 Pro, the Oculus Quest, and the Samsung Smart TV.
Artistic image of ARM chip
In 2009, Arm partnered with IBM, Samsung, Texas Instruments, and others to form the Linaro consortium, which aimed to improve the Linux software ecosystem for Arm-based devices.
In 2010, Arm unveiled the Cortex-A15 processor, which was the first Arm processor to support virtualization and big.LITTLE technology. The Cortex-A15 was used in devices such as the Google Nexus 10, the LG G3, and the Nintendo Switch.
In 2011, Arm announced the Cortex-M0+ processor, which was the world’s most energy-efficient microcontroller. The Cortex-M0+ was used in devices such as the Arduino Nano 33 IoT, the Fitbit Flex 2, and the Nest Thermostat.
In 2012, Arm launched the Cortex-A53 and Cortex-A57 processors, which were the first Arm processors to support the 64-bit ARMv8 architecture. The Cortex-A53 and Cortex-A57 were used in devices such as the iPhone 6s, the Samsung Galaxy S6 Edge+, and the Microsoft Surface Pro X.
In 2013, Arm acquired Geomerics, a developer of real-time lighting technology for video games. This enhanced Arm’s graphics portfolio with dynamic illumination and global illumination effects.
In 2014, Arm introduced the Cortex-A72 processor, which delivered a 50% performance improvement over the previous generation. The Cortex-A72 was used in devices such as the Huawei P9, the Xiaomi Mi 5s Plus, and the Amazon Fire HD 10.
In 2015, Arm announced the Cortex-A35 processor, which was the most efficient Arm processor for smartphones and tablets. The Cortex-A35 was used in devices such as the Nokia 2.1, the Samsung Galaxy J2 Core, and the Lenovo Tab M7.
In 2016, Arm was acquired by SoftBank Group for £24.3 billion, becoming a subsidiary of the Japanese conglomerate. The deal was motivated by SoftBank’s vision of investing in technologies that would drive the future of artificial intelligence (AI), internet of things (IoT), and smart cities.
In 2017, Arm launched Project Trillium, a suite of machine learning (ML) solutions that included an ML processor , an object detection processor , and an open-source software framework. The Project Trillium products aimed to enable low-power and high-performance ML applications on edge devices.
In 2018, Arm unveiled the Cortex-A76 processor , which offered a 35% performance boost over its predecessor. The Cortex-A76 was used in devices such as the OnePlus 7T, the Huawei MateBook D14, and the Acer Chromebook Spin 13.
In 2019, Arm announced the Cortex-A77 processor , which improved on its predecessor with a higher clock speed, a larger cache, and better branch prediction . The Cortex-A77 was used in devices such as the Samsung Galaxy S20, the Asus ROG Phone II, and the Lenovo Yoga C940.
In 2020, Arm introduced the Cortex-X1 processor , which was its most powerful CPU design to date. The Cortex-X1 was designed to deliver peak performance for premium device , such as flagship smartphones, laptops and gaming consoles. The Cortex-X1 was used in devices such as the Samsung Galaxy S21 Ultra, the Xiaomi Mi 11, and the Google Pixel 6.
In 2021, Arm launched the Cortex-A78C processor , which was optimized for high-performance computing (HPC) applications. The Cortex-A78C featured up to eight CPU cores , a larger L3 cache, and support for ECC memory. The Cortex-A78C was used in devices such as the Samsung Galaxy Book Pro, the HP Elite Folio , and the Acer Chromebook Spin 513.
Microchip
In 2022, Arm unveiled the Cortex-A710 processor, which was its first big core to support the Armv9 architecture. The Cortex-A710 offered a 30% energy efficiency improvement over its predecessor, as well as enhanced security and ML features. The Cortex-A710 was used in devices such as the OnePlus 10 Pro, the Huawei MatePad Pro 2, and the Microsoft Surface Laptop Studio.
In 2023, Arm announced the Immortalis GPU family , which was its next-generation graphics solution that included hardware-based ray-tracing and variable rate shading capabilities . The Immortalis GPUs aimed to deliver realistic and immersive graphics for gaming, VR and AR applications on mobile devices . The Immortalis GPUs were used in devices such as the Samsung Galaxy S22 Ultra , the Sony Xperia 1 IV, and the Oculus Quest 3.
Powerful world presence
Arm is a leading semiconductor and software design company that has revolutionized the computing industry with its innovative and efficient processor architectures. Arm’s processors power billions of devices across various domains, such as mobile, IoT, AI, HPC, and gaming. Arm has been at the forefront of technological advancements for over three decades, delivering performance, energy efficiency, and security to its customers and partners.
Arm is a subsidiary of SoftBank Group and has a massive global presence.
British microchip designing giant Arm has announced that it has filed paperwork to sell its shares in the U.S.
The Cambridge-based company, which designs chips for devices from smartphones to game consoles, plans to list on New York’s Nasdaq in September. The highly anticipated IPO in the U.S. comes after UK Prime Minister, failed to convince Arm to float in London or pursue a dual UK-U.S. listing.
Arm’s decision to list in New York rather than London has fuelled fears that the City is losing its competitiveness to Wall Street, where valuations are typically higher. SoftBank-owned chip designer Arm on 21st August 2023 disclosed a modest 1% fall in annual revenue as it made public the paperwork for a U.S. listing that is expected to be the year’s biggest initial public offering. The company is reportedly looking for a valuation of between $60bn (£47bn) to $70bn.
Arm was bought in 2016 by Japanese conglomerate Softbank in a deal worth £23.4bn. Prior to the takeover, it was listed in both London and New York for 18 years.
Companies that use ARM processors in their products
Some of the companies that use ARM processors include Apple, Qualcomm, Samsung, Broadcom, and Fujitsu. ARM technology is used in a wide range of devices, from smartphones to game consoles to supercomputers.
ARM
Arm is a British semiconductor and software design company that is known for its Arm processors, which are widely used in smartphones, tablets, laptops, and other devices. Arm was founded in 1990 as a joint venture between Acorn Computers, Apple Computer, and VLSI Technology. The company was originally called Advanced RISC Machines, but later changed its name to Arm Ltd in 1998.
Aristotle was an ancient Greek philosopher and scientist, who is considered one of the greatest intellectual figures of Western history.
He wrote on a wide range of subjects, including logic, metaphysics, ethics, politics, biology, natural sciences, philosophy, linguistics, economics, politics, psychology and the arts.
He founded the Lyceum, a school of philosophy in Athens, and tutored Alexander the Great.
The 89 threats to life in the UK are listed in a recent report called the National Risk Register (NRR), which was published by the Deputy Prime Minister Oliver Dowden on 3rd August 2023.
The NRR is an assessment of the risks facing the UK that would have a significant impact on the UK’s safety, security or critical systems at a national level. The NRR is based on the government’s internal, classified risk assessment and offers more detail on the potential scenarios, response and recovery options relating to the risks.
The 89 threats are divided into four categories: natural hazards, malicious attacks, accidents and system failures, and global events.
Some of the threats
Natural hazards: These include extreme weather events, such as heatwaves, floods, storms, droughts, and wildfires; geological hazards, such as earthquakes, tsunamis, volcanic eruptions, and landslides; biological hazards, such as pandemics, animal diseases, plant diseases, and invasive species; and space weather events, such as solar flares and geomagnetic storms.
Malicious attacks: These include terrorism, such as bombings, shootings, chemical weapons, biological weapons, radiological weapons, cyberattacks, and drones; espionage and sabotage, such as interference with critical infrastructure, communications, or data; and conflict and instability, such as war, nuclear weapons, state-sponsored attacks, civil unrest, and violent extremism.
‘Cyber security hack – just one of the potential risks facing the UK’.
Accidents and system failures: These include industrial accidents, such as explosions, fires, spills, or leaks; transport accidents, such as plane crashes, train derailments, ship collisions, or road collisions; infrastructure failures, such as power outages, water shortages, gas leaks, or internet disruptions; and technological failures, such as software bugs, hardware malfunctions, or AI errors.
Global events: These include economic crises, such as recessions, inflation, debt defaults, or trade wars; political crises, such as coups, revolutions, sanctions, or human rights violations; social crises, such as migration flows, refugee crises, humanitarian emergencies, or famines; and environmental crises, such as climate change, biodiversity loss, pollution, or resource depletion.
Threat level
The NRR also provides information on how likely each threat is to occur in the next five years (from very low to very high), how severe the impact would be on the UK (from minor to catastrophic), and what actions the government and other stakeholders are taking to prevent or mitigate the risks.
The NRR is intended to help the public and businesses better understand and prepare for potential threats facing the country now and in the future.
Isaac Asimov wasan American writer and professor of biochemistry at Boston University. During his lifetime, Asimov was considered one of the ‘Big Three’ science fiction writers, along with Arthur C. Clarke and Robert A. Heinlein.
My favourite book by Isaac Asimov is I, Robot. If you haven’t read it yet, go lift one off the shelf – it’s well worth a read.
Thomas Edison was an American inventor and businessman. He developed many devices in areas such as electric power generation, mass communication, sound recording, and motion pictures. These inventions, which include the phonograph, the ‘motion picture camera’, and early versions of the electric ‘light bulb’.
During his working life he is reported to have held a world-record 1,093 patents
The electric light bulb is one of the most important inventions in human history. It has revolutionized the fields of lighting, communication, entertainment, and industry. The electric light bulb produces light by passing an electric current through a thin wire called a filament, which heats up and glows. The filament is enclosed in a glass bulb that is either vacuumed or filled with an inert gas to prevent it from burning out. The humble bulb has undergone many developments through time including the introduction of energy saving devices using LED’S, Light Emitting Diodes.
Joint invention
The electric light bulb was not invented by any one person, but by many inventors who contributed to its development over the years. Some of the earliest attempts to create electric light were made by Humphry Davy, Warren de la Rue, and Joseph Swan in the 19th century.
However, the most famous and successful individual inventor of the electric light bulb was Thomas Edison, who patented his version in 1879 and 1880. Edison experimented with different materials for the filament, such as carbon, platinum, and even bamboo, until he found one that could last for over 1,000 hours. He also improved the vacuum pump and the socket for the bulb. He demonstrated his invention to the public by lighting up his laboratory and the nearby streets in Menlo Park, New Jersey.
‘The electric light bulb invented over time with many contributors – the best known being Thomas Edison’.
World changing invention
The electric light bulb has changed the world in many ways. It has extended the hours of work and leisure, improved safety and health, enabled new forms of art and entertainment, and stimulated scientific and technological innovation.
The electric light bulb is also a symbol of human creativity, curiosity, and progress.
If you want a good read – go find, ‘The Last Days of Night’ by Graham Moore. It’s brilliant!
Bitcoin fell sharply on Thursday 17th August by 9% to just over $26,000
The fall in Bitcoin followed several hours after reports emerged that SpaceX, one of Elon Musk’s enterprises, wrote down the value of its Bitcoin holdings by a total of $373 million in 2022 and 2021, and that the space travel company had sold the virtual currency.
This is likely one of the fastest minute-by-minute selloffs in the history of Bitcoin but this is largely an Elon Musk/SpaceX-driven selloff and probably short-sighted and largely retail-driven. But still, 9% is a big drop for any asset!
In 2022, Tesla, which Musk also owns, announced that it sold about 75% of its Bitcoin holdings after investing $1.5 billion in the flagship cryptocurrency.
Bitcoin had been under pressure earlier, starting after the Federal Reserve issued the minutes from its July policy meeting. In Thursday’s session, the cryptocurrency slumped to its lowest level in almost two months.
Singapore’s financial regulator has reportedly said it had finalised rules for a type of digital currency called ‘stablecoin’, placing it among some of first the regulators worldwide to do so.
Stablecoins are a type of digital currency designed to hold a constant value against a fiat currency. Many claim to be backed by a reserve of real-world assets, such as cash or government bonds.
Reserves that back stabelcoins must be held in low-risk and highly-liquid assets. They must equal or exceed the value of the stablecoin in circulation at all times, the rules say. The stablecoin market is valued at around $125 billion, with two tokens – Tether’s USDT and Circle’s USDC – dominating roughly 90% of the market cap value. Stablecoins are broadly unregulated around the world.
The Monetary Authority of Singapore’s (MAS) framework requirement
Reserves that back stabelcoins must be held in low-risk and highly-liquid assets. They must equal or exceed the value of the stablecoin in circulation at all times
Stablecoin issuers must return the par value of the digital currency to holders within five business days of a redemption request.
Issuers must also provide ‘appropriate disclosures‘ to users, including the audit results of reserves.
These rules will apply to stablecoins that are issued in Singapore and mimic the value of the Singapore dollar, or of any G10 currencies, such as the U.S. dollar.
‘Shackles being removed from crypto regulation paving way for stablecoin adoption’
Last year, the collapse of a so-called algorithmic stablecoin named UST put this type of stablecoin in the crosshairs of regulators. Unlike USDT and USDC, UST was governed by an algorithm and did not have real-world assets like bonds in its reserves.
Singapore’s stablecoin framework puts it among one of the first jurisdictions to have such rules. In June, the U.K. passed a law that gives regulators the ability to oversee stablecoins, though there are no concrete rules yet. Hong Kong is meanwhile undergoing a public consultation on stablecoins and seeks to introduce regulation next year.
What is a stablecoin
A stablecoin is a type of cryptocurrency that tries to maintain a stable value by being pegged to another asset, such as a fiat currency, a commodity, or another cryptocurrency. Stablecoins aim to offer the benefits of cryptocurrencies, such as decentralisation, security, and transparency, without the drawbacks of high volatility and price fluctuations.
Stablecoins can be used for payments, remittances, trading, and storing value. However, stablecoins also face some challenges and risks, such as regulatory uncertainty, technical issues, and trust issues.
There are different ways to create and manage stablecoins, depending on the mechanism used to stabilize their value.
Main types of stablecoins
Fiat-backed: These stablecoins are backed by a reserve of fiat currency, such as the US dollar or the euro, held by a third-party entity. The stablecoin issuer promises to redeem the stablecoin for the fiat currency at a fixed ratio. Examples of fiat-backed stablecoins are Tether (USDT), USD Coin (USDC), and TrueUSD (TUSD).
Commodity-backed: These stablecoins are backed by a reserve of physical commodities, such as gold, silver, or oil, held by a third-party entity. The stablecoin issuer promises to redeem the stablecoin for the commodity at a fixed ratio. Examples of commodity-backed stablecoins are Paxos Gold (PAXG), Tether Gold (XAUT), and Digix Gold (DGX).
Crypto-backed: These stablecoins are backed by a reserve of other cryptocurrencies, such as Bitcoin or Ethereum, held in a smart contract. The stablecoin issuer uses over-collateralization or algorithmic adjustments to maintain the stability of the stablecoin. Examples of crypto-backed stablecoins are Dai (DAI), sUSD (SUSD), and BitUSD (BITUSD).
Algorithmic: These stablecoins are not backed by any reserve, but instead use an algorithm to control the supply and demand of the stablecoin. The algorithm adjusts the supply of the stablecoin according to the market conditions and the target price. Examples of algorithmic stablecoins are Basis Cash (BAC), Empty Set Dollar (ESD), and TerraUSD (UST).
What is ‘crypto’
Crypto has attracted a lot of attention in recent years. Crypto is short for cryptocurrency, which is a digital or virtual currency that uses cryptography to secure and verify transactions. Crypto can also refer to the underlying technology that powers cryptocurrencies, such as blockchain.
Some examples of popular cryptocurrencies are Bitcoin, Ethereum, Ripple ( XRP)and Cardano (ADA).
Cryptoman superhero
Cryptocurrencies have many advantages over traditional currencies, such as decentralisation, transparency, anonymity, and lower fees. However, they also face some challenges, such as volatility, regulation, security, and scalability. Crypto enthusiasts believe that cryptocurrencies have the potential to revolutionise the world of finance and beyond.
Some examples of popular stablecoins are Tether, USD Coin and Binance USD.
Douglas Adams – was an English author, humourist, and screenwriter, best known for The Hitchhiker’s Guide to the Galaxy.
The Hitchhikers guide to the Galaxy
The Hitchhikers guide to the Galaxy is a comedy science fiction franchise created by Douglas Adams. It started as a radio comedy on BBC Radio 4 in 1978, and then it was adapted to other formats, such as novels, stage shows, comic books, a TV series, a text adventure game, and a feature film.
The franchise follows the adventures of Arthur Dent, a human who escapes the destruction of Earth with his alien friend Ford Prefect, who is a writer for the electronic travel guide ‘The Hitchhiker’s Guide to the Galaxy’.
‘We are stuck with technology when what we really want is just stuff that works’.
Along the way, they meet other characters such as Zaphod Beeblebrox, the eccentric President of the Galaxy, Trillian, another human who was taken from Earth before its demolition, and Marvin, a depressed robot. The franchise is known for its humour, satire, absurdity, and references to various topics such as philosophy, physics, mathematics, and literature.
Steve Jobs was one of the most influential and visionary entrepreneurs of the 21st century. He was the co-founder, chairman, and CEO of Apple Inc., the company that revolutionized personal computing, music, mobile phones, tablets, and digital animation. He was also the founder and CEO of NeXT, a computer and software company that was acquired by Apple in 1997, and the majority shareholder of Pixar, a computer animation studio that was acquired by Disney in 2006.
Steve Jobs was born on February 24, 1955 in San Francisco, California. He was adopted by Paul and Clara Jobs, who raised him in Mountain View, California. Jobs attended Reed College in Portland, Oregon, but dropped out after one semester. He then travelled to India in 1974 to seek spiritual enlightenment and became a follower of Zen Buddhism.
Apple
In 1976, he co-founded Apple Computer with his friend Steve Wozniak in his parents’ garage. They created the Apple I and Apple II, which were among the first successful personal computers. In 1984, they launched the Macintosh, which introduced the graphical user interface and the mouse to the mass market. In 1985, Jobs left Apple after a power struggle with the board of directors.
NeXt
In 1986, he founded NeXT, which developed innovative computers and software for the education and business markets. NeXT also created the NeXTSTEP operating system, which was later used as the basis for Mac OS X and iOS. In 1997, Apple bought NeXT for $429 million and brought Jobs back as an interim CEO.
Watercolour image and likeness of Apple Lisa computer
iMac
In 1998, Jobs led the turnaround of Apple with the launch of the iMac, a sleek and colorful all-in-one computer. He then introduced a series of groundbreaking products that changed the world of technology and entertainment, such as the iPod (2001), iTunes (2003), iPhone (2007), iPad (2010), and iCloud (2011). He also oversaw the development of software platforms such as Mac OS X, iOS, iTunes Store, App Store, and Safari.
Pixar
In 1986, he also acquired Pixar from George Lucas for $10 million. Pixar became one of the most successful animation studios in history, producing hit films such as Toy Story (1995), Finding Nemo (2003), The Incredibles (2004), Ratatouille (2007), WALL-E (2008), Up (2009), and Inside Out (2015). In 2006, Disney bought Pixar for $7.4 billion and made Jobs its largest shareholder.
Stay hungry, stay foolish
Steve Jobs was known for his charisma, creativity, innovation, and perfectionism. He had a vision to make products that were not only functional but also beautiful and intuitive.
His passion to create experiences that enriched people’s lives and inspired them to think differently. He had a motto to ‘stay hungry, stay foolish’.
Steve Jobs died on October 5, 2011 at the age of 56 after a long battle with pancreatic cancer. He left behind a legacy that will continue to shape the world for generations to come.
Amazon is one of the leading companies in the field of artificial intelligence (AI) and has been developing its own custom chips to power its AI applications and services.
Amazon’s AI chips are designed to perform tasks such as natural language processing, computer vision, speech recognition, and machine learning inference and training.
AI chips created by Amazon
AZ2: This is a processor built into the Echo Show 15 smart display and powers artificial intelligence tasks like understanding your voice commands and figuring out who is issuing those commands. The AZ2 chip also enables features such as visual ID, which can recognize faces and display personalized information on the screen.
Inferentia: This is a high-performance chip that Amazon launched to deliver low-cost and high-throughput inference for deep learning applications. Inferentia powers Amazon Elastic Compute Cloud (EC2) Inf1 instances, which are optimized for running inference workloads on AWS. Inferentia also powers some of Amazon’s own services, such as Alexa, Rekognition, and SageMaker Neo.
Trainium: This is a chip that Amazon designed to provide high-performance and low-cost training for machine learning models. Trainium will power Amazon EC2 Inf2 instances, which are designed to train increasingly complex models, such as large language models and vision transformers. Trainium will also support scale-out distributed training with ultra-high-speed connectivity between accelerators.
Despite advancements is Amazon chasing to keep up?
Amazon is racing to catch up with Microsoft and Google in the field of generative AI, which is a branch of AI that can create new content or data from existing data. Generative AI can be used for applications such as natural language generation, image and video synthesis, text summarization, and personalization.
AI models from Amazon
Titan: This is a family of large language models (LLMs). Titan models can generate natural language texts for various domains and tasks, such as conversational agents, document summarization, product reviews, and more. Titan models are trained on a large and diverse corpus of text data from various sources, such as books, news articles, social media posts, and product descriptions.
Powerful chips for artificial intelligence (AI)
Bedrock: This is a service that Amazon created to help developers enhance their software using generative AI. Bedrock provides access to pre-trained Titan models and tools to customize them for specific use cases. Bedrock also allows developers to deploy their generative AI applications on AWS using Inferentia or Trainium chips.
Generative AI
Amazon’s CEO, Andy Jassy in the past said he thought of generative AI as having three macro layers: the compute, the models, and the applications. He said that Amazon is investing heavily in all three layers and that its custom chips are a key part of its strategy to provide high-performance and low-cost compute for generative AI. He also said that Amazon is not used to chasing markets but creating them, and that he believes Amazon has the best platform for generative AI in the world.
Inferentia and Trainium, offer AWS customers an alternative to training their large language models on Nvidia GPUs, which have been getting difficult and expensive to procure.
‘The entire world would like more chips for doing generative AI, whether that’s GPUs or whether that’s Amazon’s own chips that we’re designing’, Amazon Web Services CEO Adam Selipsky is reported to have said. ‘I think that we’re in a better position than anybody else on Earth to supply the capacity that our customers collectively are going to want’.
Fast actors
Yet others have acted faster, and invested more, to capture business from the generative AI boom. When OpenAI launched ChatGPT in November 2022, Microsoft gained widespread attention for hosting the chatbot, and investing a reportedly whopping $13 billion in OpenAI. It was quick to add the generative AI models to its own products, incorporating them into Bing in February 2023.
That same month, Google launched its own large language model, Bard, followed by a $300 million investment in OpenAI rival Anthropic.
AI Chat Bot robot
It wasn’t until April 2023 that Amazon announced its own family of large language models, called Titan, along with a service called Bedrock to help developers enhance software using generative AI.
Amazon is not used to chasing markets. Amazon is used to creating markets. And for the first time for some time, they find themselves on the back foot and working to play catch up.
And Meta?
Meta also recently released its own LLM, Llama 2. The open-source ChatGPT rival is now available for people to test on Microsoft’s Azure public cloud.
The Voyager 2 spacecraft is a remarkable feat of human exploration and discovery. It was launched in 1977, along with its twin Voyager 1, to explore the outer planets of our solar system. It is the only spacecraft to have visited Uranus and Neptune, and it is now the second most distant human-made object in space, after Voyager 1.
Deep space
However, communicating with such a faraway spacecraft is not easy. It requires a powerful radio antenna that can send and receive signals across billions of miles. NASA uses its Deep Space Network (DSN), a network of giant radio dishes around the world, to keep in touch with Voyager 2 and other deep space missions.
Unfortunately, sometimes things can go wrong. On July 21, 2023, NASA accidentally sent a wrong command to Voyager 2 that caused it to tilt its antenna away from Earth. This meant that the spacecraft could not receive any more commands or send back any data. NASA lost contact with Voyager 2 for nearly two weeks.
Keep talking
But NASA did not give up. The engineers tried to send a corrective command to Voyager 2 using the DSN, hoping that the spacecraft would somehow pick it up and respond.
Imaginary watercolour image of Deep Space
On August 1, 2023, NASA finally received a signal from Voyager 2. It was a faint ‘heartbeat‘ that confirmed that the spacecraft was still alive and broadcasting. NASA was overjoyed and relieved to hear from its old friend.
On August 4, 2023, NASA announced that it had successfully restored full contact with Voyager 2. The engineers had managed to send an ‘interstellar shout’ to the spacecraft, a powerful command that instructed it to point its antenna back to Earth. It took 37 hours for the command to reach Voyager 2 and another 37 hours for the confirmation to come back. It worked! Voyager 2 was back online and ready to resume its mission.
Amazing
Voyager 2 is an amazing example of human ingenuity and perseverance. It has been exploring space for nearly half a century, and it is still going strong. It has taught us so much about our solar system and beyond, and it continues to send us valuable data from the interstellar space. We are lucky to have such a faithful companion in our cosmic journey
Voyager 1 is an amazing spacecraft that has been exploring the outer solar system and beyond for over 45 years. It is currently the most distant human-made object from Earth, and it is still sending us valuable data from interstellar space.
According to the latest information from NASA, as of April 7, 2023, Voyager 1 is about 14,803,648,909 miles(23,837,577,852 kilometers) away from Earth. That is equivalent to 160.154936 astronomical units (AU), which is the average distance between the Earth and the Sun.
To put that in perspective, it would take light about 22 hours and 4 minutes to travel from Voyager 1 to Earth. That means that we are receiving signals from Voyager 1 that were sent almost a day ago! It takes approximately 8 minutes for light to travel from the Sun to planet Earth
Voyager 1 is also moving away from Earth at a speed of about 38,026.77 miles per hour (or 61,198.15 kilometers per hour) relative to the Sun. That means that it is getting farther and farther away from us every second. At this rate, it will take Voyager 1 about 40,000 years to reach the nearest star system to our Sun, which is Alpha Centauri.
A vision of futuristc space travel
Voyager 1 is a testament to human curiosity and ingenuity. It has taught us so much about our solar system and beyond, and it continues to inspire us to explore the unknown.
Nice one Voyager 1
Explore
NASA’s StarChild: This is a website that offers information and activities for children about stars and other astronomical topics.
Stellarium: This is a free software that simulates the sky in 3D and allows you to explore the stars and constellations from any location and time.
StarDate: This is a website that provides daily updates on the sky events, such as star sightings, eclipses, meteor showers, and planetary alignments.
U.K. economy beat expectations with 0.2% growth in the second quarter, boosted by household consumption and manufacturing output, the Office for National Statistics said Friday.
Economists had expected U.K. GDP to level off in the second quarter, after a surprise increase of 0.1% in the first quarter, as the Bank of England’s monetary policy tightening took effect and as persistent inflation began to slow consumer demand.
The economy expanded by 0.5% in June 2023, beating a forecast of 0.2% growth. It follows monthly GDP growth of 0.1% in May and 0.2% in April. However, the strength of the June rise was partially attributed to warm weather, as well as the additional public holiday in May to celebrate the coronation of King Charles III.
Better than expected
GDP was lifted by 1.6% growth in manufacturing and 0.7% in production in the second quarter, while services grew by 0.1%.
The Office for National Statistics (ONS) noted strong growth in household and government consumption in terms of expenditure. Both faced price pressures in the quarter, though this moderated from the previous three-month period.
Growth in June 2023 was stronger than expected at 0.5%
Growth in June 2023 was stronger than expected at 0.5%, showing a recovery when the economy lost one working day due to the national holiday in May. June’s warm weather also benefited the construction industry as well as pubs and restaurants. But the economy was impacted by strike action by NHS workers, doctors, railway unions and teachers. However, the figures for the three months and June in particular were better-than-expected.
What does it mean?
Gross Domestic Product (GDP) is one of the most important tools for looking at the health of the economy, and is watched closely by the government and businesses. If the figure is increasing, that means the economy is growing and people are doing more work and getting a little bit richer, on average.
But if GDP is falling, then the economy is shrinking which can be bad news for businesses. If GDP falls for two quarters in a row, it is typically defined as a recession.
The UK’s elections watchdog has revealed it has been the victim of a complex cyber-attack potentially affecting millions of voters.
The Electoral Commission said unspecified ‘hostile actors‘ had managed to gain access to copies of the electoral registers, from August 2021. Note the word ‘unspecified’ is used – do they even know?
Hackers also broke into its emails and “control systems” but the attack was not discovered until October last year. The watchdog has warned people to watch out for unauthorised use of their data.
The commission said hackers accessed copies of the registers it was holding for research purposes, and for conducting checks on political donors. The commission knew which of its systems were accessible to the hackers, but could not ‘conclusively‘ identify which files may have been accessed.
‘Very sophisticated’ attack
The personal data held on the registers – name and address – did not itself present a ‘high risk‘ to individuals, it added, although it is possible it could be combined with other public information to ‘identify and profile individuals’.
It has not said when the hackers’ access to its systems was stopped, but said they were secured as soon as possible after the attack was identified in October 2022. Why was it left so long to be made public and how long did it take to make systems secure again?
Explaining why it had not made the attack public before now, the commission said it first needed to stop the hackers’ access, examine the extent of the incident and put additional security measures in place.Defending the delay, commission chair John Pullinger said: “If you go public on a vulnerability before you have sealed it off, then you are risking more vulnerabilities.” He is reported to have said the ‘very sophisticated attack involved using software to try and get in and evade our systems’. Well, that clearly worked then.
The world of digital data
He reportedly said that the hackers were not able to alter or delete any information on the electoral registers themselves, which are maintained by registration officers around the country. Information about donations and loans to political parties and registered campaigners is held in a system that is not affected by this incident, the notice added. He understood public concern, and would like to apologise to those affected.
Steps
The commission added that it had taken steps to secure its systems against future attacks, including by updating its login requirements, alert system and firewall policies. The Information Commissioner’s Office, which is responsible for data protection in the UK, said it was urgently investigating.
Labour’s deputy leader Angela Rayner reportedly said: ‘This serious incident must be fully and thoroughly investigated so lessons can be learned‘. Why wouldn’t it be investigated? I dislike it immensely when clueless politicians roll out this ‘standard remark’ as an attempt to demonstrate they ‘know what’s going on’.
Then what? It happens again and we have to… learn more lessons…?
The phrase, ‘neither a borrower nor money lender be’ is a famous quote from William Shakespeare’s play, Hamlet, spoken by the character Polonius to his son Laertes. Polonius is giving his son some advice before he leaves for Paris, and he tells him not to lend or borrow money from anyone, because it can ruin friendships and lead to financial troubles.
Quote
‘Neither a borrower nor a lender be; For loan oft loses both itself and friend, And borrowing dulls the edge of husbandry’.
The phrase means that we/you should be self-reliant and prudent with your money, and avoid getting into debt or lending money to others. It implies that borrowing and lending can cause resentment, dishonesty, and loss of trust between people. It also suggests that borrowing can make you lazy and wasteful, while lending can make you lose both the money and the friend. Thats’s true!
Relevant
The phrase is still relevant today, as many people face the challenges of managing their finances and dealing with debt. It is often used as a proverb or a piece of wisdom to warn people against the dangers of borrowing and lending money. However, some people may disagree with the phrase, and argue that borrowing and lending can be beneficial in some situations, such as when one needs to invest in education, business, or emergency needs. They may also point out that borrowing and lending can strengthen relationships if done with honesty, generosity, and gratitude.
This proverb is attributed to Confucius, the founder of Confucianism. It means that we can learn from anyone, even those who are less knowledgeable or experienced than us.
Confucius was a Chinese philosopher who is traditionally considered the ‘most perfect’ of Chinese sages.
Watercolour of three people walking and talking on a beautiful beach
Very apt quote for our time, even though this comment is some 460 yeas old.
John Calvin, theologian and pastor. He was the leading French Protestant reformer and the most important figure in the second generation of the Protestant Reformation.
The term protestant comes from the Latin word protestari, which means to declare publicly or to protest
This is the famous quote in the novel Animal Farm where it suggests ‘we are all equal, but some are more equal than others’.
Animal Farm is a fable by George Orwell that criticizes the corruption of power and the dangers of totalitarianism.
It appears in the last chapter of the novel, when the pigs have changed the original commandment of ‘All animals are equal‘ to justify their tyranny and privilege over the other animals. It is an example of how the pigs use language to manipulate and deceive the other animals, and how they betray the ideals of the ‘revolution’ that Old Major inspired.
Draw your own conclusions and comaparisons to ‘human’ behaviour…
George Orwell quote from Animal Farm, ‘All animals are equal, but some animals are more equal than others’
This quote is attributed to Nikola Tesla, a Serbian-American inventor, engineer and physicist who is best known for his contributions to the development of alternating current electricity, wireless communication and radio.
I don’t care that they stole my idea . . I care that they don’t have any of their own
