Nvidia’s revenue grew 206% from year 2022 during the quarter ending 29th October 2023, according to data from Nvidia.
Net income, at $9.24 billion, or $3.71 per share, was up from $680 million, in the same quarter of 2022.
The company’s data centre revenue came in at: $14.51 billion, up a massive 279% and above consensus of $12.97 billion. Half of the data centre revenue came from cloud infrastructure providers such as Amazon, and the other from consumer internet and large companies, Nvidia said. Healthy uptake also came from clouds that specialized in renting out GPUs to clients.
Earnings: $4.02 per share, adjusted, vs. $3.37 per share expected
Revenue: $18.12 billion, vs. $16.18 billion expected
The gaming segment contributed $2.86 billion, up 81% and higher than the $2.68 billion general consensus. Nvidia’s future guidance suggested $20 billion in revenue for Q4, implying a nearly 231% revenue growth.
Year on year Nvidia share price movement.
Year on year Nvidia share price movement – Nov 2022 – Nov 2023
During the quarter, Nvidia announced the GH200 GPU, which has more memory than the current H100 and an additional Arm processor onboard. The H100 is expensive and in demand. Nvidia said Australia-based Iris Energy, an owner of bitcoin mining data centers, was buying 248 H100s for $10 million, which works out around $40,000 each.
Nvidia share price moved down 1% in after-hours trading on Tuesday 21st November 2023 after the reporting fiscal Q3 results that surpassed predictions. But the company called for a negative impact in the next quarter because of export restrictions affecting sales to organizations in China and other countries.
‘We expect that our sales to these destinations decline significantly in the Q4 2024, though we believe the decline will be more than offset by strong growth in other regions’, Nvidia reported.
At the speed of AI, the story at OpenAI moves at lightning speed.
Hundreds of OpenAI employees signed a letter demanding the OpenAI board resign or face an employee exodus to Sam Altman’s new venture at Microsoft ‘imminently‘.
The board then attempted to negotiate Altman’s return, but those talks were unsuccessful.
At the touch of a button – resignation letter sent to the OpenAI board of directors
To the Board of Directors at OpenAI
OpenAI is the world’s leading AI company. We, the employees of OpenAI, have developed the best models and pushed the field to new frontiers. Our work on AI safety and governance shapes global norms. The products we built are used by millions of people around the world. Until now, the company we work for and cherish has never been in a stronger position.
The process through which you terminated Sam Altman and removed Greg Brockman from the board has jeopardized all of this work and undermined our mission and company. Your conduct has made it clear you did not have the competence to oversee OpenAI.
When we all unexpectedly learned of your decision, the leadership team of OpenAI acted swiftly to stabilize the company. They carefully listened to your concerns and tried to cooperate with you on all grounds. Despite many requests for specific facts for your allegations, you have never provided any written evidence. They also increasingly realized you were not capable of carrying out your duties, and were negotiating in bad faith.
The leadership team suggested that the most stabilizing path forward – the one that would best serve our mission, company, stakeholders, employees and the public – would be for you to resign and put in place a qualified board that could lead the company forward in stability. Leadership worked with you around the clock to find a mutually agreeable outcome. Yet within two days of your initial decision, you again replaced interim CEO Mira Murati against the best interests of the company. You also informed the leadership team that allowing the company to be destroyed “would be consistent with the mission.”
Your actions have made it obvious that you are incapable of overseeing OpenAI. We are unable to work for or with people that lack competence, judgement and care for our mission and employees. We, the undersigned, may choose to resign from OpenAI and join the newly announced Microsoft subsidiary run by Sam Altman and Greg Brockman. Microsoft has assured us that there are positions for all OpenAI employees at this new subsidiary should we choose to join. We will take this step imminently, unless all current board members resign, and the board appoints two new lead independent directors, such as Bret Taylor and Will Hurd, and reinstates Sam Altman and Greg Brockman.”
In just 5 days
Sam Altman sacked from OpenAI.
Altman appears to move to Microsoft.
OpenAI staff revolt.
No confidence in OpenAI board.
Space for staff to move to Microsoft and create new AI company under Altman’s leadership.
OpenAI mass employee resignation letter emerges.
Microsoft CEO Nadella says OpenAI governance needs to change no matter where Altman ends up.
Altman back at OpenAI after board changes.
Now, Altman is back after getting the sack.
So, is all OK at OpenAI? I asked CHATGPT the question, here is the answer…
Sam Altman, the former CEO of OpenAI, who was fired last week in a controversial board decision.
According to the latest reports, Altman is joining Microsoft to lead a new AI research team that will focus on advanced and ethical AI development.
Altman is a well-known entrepreneur and investor who has been involved in several AI-related projects.
He was one of the co-founders of OpenAI, a research organization that aims to create artificial general intelligence (AGI) that can ‘benefit humanity without causing harm’ or being controlled by a few elite players.
Leadership and ideology clash
However, Altman’s vision and style clashed with some of the board members and researchers at OpenAI, who reportedly accused him of being too ambitious, secretive, and authoritarian. They also reportedly claimed that he was pursuing a dangerous goal of creating artificial superintelligence (ASI).
The disagreements escalated when Altman announced a partnership with Microsoft in 2023, which gave Microsoft exclusive access to OpenAI’s GPT-4 Turbo model, a powerful natural language processing system that can generate realistic text on any given topic.
Some of the OpenAI staff and community members reportedly felt let-down by this deal, which they saw as a violation of OpenAI’s original mission of creating and sharing ‘AI for the common good’.
On Friday 17th November 2023, the board of OpenAI voted to remove Altman as CEO, citing irreconcilable differences and lack of trust. He was replaced by Emmett Shear, the former CEO of Twitch, who promised to restore transparency and collaboration at OpenAI.
Altman to join Microsoft
Altman did not comment on his dismissal. However, on Monday 20th November 2023, he rocked the AI world by announcing he was joining Microsoft as the head of a new AI research team.
He reportedly said that he was excited to work with Microsoft’s talented people and that he would continue to pursue his vision of creating beneficial and ethical AI for humanity.
Altman’s move to Microsoft has sparked mixed opinions from the AI community. Some have praised him for his innovation and courage, others have criticized him for his arrogance and recklessness.
There were reports over weekend suggesting employees and investors including Microsoft were pushing for Mr Altman to be reinstated. Some employees resigned in support of Altman.
Some have expressed concern about the potential impact of his new role on the future of AI development and regulation.
Where do OpenAI, Microsoft and the AI go from here?
It was reported Friday 17th November 2023 by the city-state’s central bank that Singapore will be piloting the live issuance and use of wholesale central bank digital currencies in 2024.
During the pilot, the Monetary Authority of Singapore, (MAS) will partner with local banks to pilot the use of wholesale CBDCs to facilitate domestic payments.
What is a CBDC?
A CBDC is a digital form of a country’s fiat currency, issued and regulated by the central bank or monetary authority of that country. CBDCs are different from cryptocurrencies, which are decentralized and not backed by any government.
Singapore is one of the countries that has been actively exploring the potential of CBDCs, both for wholesale and retail purposes. Wholesale CBDCs are meant for interbank transactions and cross-border payments, while retail CBDCs are meant for general public use and everyday payments.
CBDC MAS timeline
In November 2021, the Monetary Authority of Singapore (MAS) launched Project Orchid, a retail CBDC project that aims to build the infrastructure and test the use cases for a digital Singapore dollar. The project will explore the concept of purpose-bound digital Singapore dollars, which allow senders to specify how and where the money will be used.
In August 2021, MAS announced Project Dunbar, a wholesale CBDC project that involves the collaboration of the Reserve Bank of Australia, Bank Negara Malaysia, and South African Reserve Bank. The project will develop prototypes of shared platforms for cross-border transactions using multiple CBDC’s.
In June 2021, MAS published a monograph on the economic considerations of a retail CBDC in the Singapore context. The monograph concluded that there is no urgent case for a retail CBDC in Singapore, but MAS wants to be prepared in case the situation changes in the future.
In April 2021, MAS extended the regulatory sandbox for Project Ubin, a wholesale CBDC project that started in 2016. Project Ubin has successfully demonstrated the feasibility of using blockchain technology for clearing and settlement of payments and securities.
Singapore to pilot use of wholesale central bank digital currencies in 2024
In March 2021, MAS joined the Multiple CBDC (m-CBDC) Bridge initiative, a wholesale CBDC project that involves the Bank of Thailand, the Hong Kong Monetary Authority, and the Bank for International Settlements. The project will explore the use of distributed ledger technology to enable real-time cross-border transactions using multiple CBDC’s.
Process
Banks will issue tokenized bank liabilities in the form of claims in balance sheets. Retail customers can then use the tokenized bank liabilities in transactions with merchants, who will then credit these bank liabilities with their respective banks. Tokenization refers to the process of issuing a digital form of an asset on a blockchain.
The CBDC will then be automatically transferred to the merchant as a form of payment during the transaction.
Many central banks are testing and exploring their own digital currencies, includung the UK and U.S.
Microsoft is working on its own artificial intelligence chip, code-named Athena, that could compete with Nvidia’s products.
The company introduced two new microchips.
The first, its Maia 100 artificial intelligence chip, could compete with Nvidia’s highly sought-after AI graphics processing units.
The second, a Cobalt 100 Arm chip, is aimed at general computing tasks and could compete with Intel processors.
The chip is designed for training large language models (LLM’s) like ChatGPT and powering AI applications. Microsoft has been developing the chip since 2019 using Taiwan Semiconductor’s 5-nanometer process. The chip is currently being tested by a small select group of Microsoft and OpenAI employees.
Long-term objective
Microsoft’s objective is to reduce its dependency on third-party hardware providers and to customize its AI infrastructure for its own projects.
Microsoft has invested billions in OpenAI, which makes ChatGPT, to enhance its position in the AI field. The Athena chip could also enable Microsoft to add AI capabilities to its Office products and GitHub, but it has already achieved this using the OpenAI system.
Microsoft has not announced when the chip will be available to the public or to its Azure cloud customers.
Nvidia has recently announced its latest high-end chip, the GH200 Grace Hopper Superchip, which is designed for training AI models at giant scale.
The GH200 is a breakthrough accelerated CPU that combines the NVIDIA Grace™ and Hopper™ architectures using NVIDIA® NVLink®-C2C to deliver a CPU+GPU coherent memory model for AI and HPC applications. The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world’s most complex problems.
The technical bit
The GH200 features 72 cores of Grace CPU outfitted with 480 GB of ECC LPDDR5X memory, as well as the GH100 compute GPU that is paired with 141 GB of HBM3E memory that comes in six 24 GB stacks and uses a 6,144-bit memory interface.
The GH200 also has a new 900 gigabytes per second (GB/s) coherent interface, which is 7X faster than PCIe Gen5, and supercharges accelerated computing and generative AI with HBM3 and HBM3e GPU memory. The GH200 can run all NVIDIA software stacks and platforms, including NVIDIA AI Enterprise, HPC SDK, and Omniverse™.
Nvidia unveils its newest GH200 high-end AI Superchip.
The GH200 is available as part of the NVIDIA DGX GH200, a massive memory supercomputer that fully connects 256 GH200 Superchips into a singular GPU. The DGX GH200 offers 144 terabytes (TB) of shared memory with linear scalability for giant AI models.
The DGX GH200 is a turnkey data centre-class solution that includes integrated software and white-glove services from NVIDIA, from design to deployment, to speed the ROI of AI.
The DGX GH200 is the only AI supercomputer that offers a massive, shared memory space of 144TB across 256 NVIDIA Grace Hopper Superchips, providing developers with nearly 500X more memory to build giant models.
Microsoft has confirmed problems with accessing its Xbox gaming platform and Teams messaging app in the UK and Europe have now been resolved.
More than 1500 people in the UK reported issues with Xbox Live, according to the outage tracker Downdetector.A similar number also said there were problems with the Teams app.
It left some who had purchased the latest game in the Call of Duty series unable to play. But Microsoft said this had since been fixed.
An artificial increase in synthetic network traffic – whatever that is
On X, Microsoft said the services were impacted by ‘an artificial increase in synthetic network traffic’. Could someone please explain to me what this actually means…? Microsoft went on to say: ‘We’ve made configuration changes to remediate impact and after monitoring the service, we’ve confirmed the issue is now resolved.’ Microsoft previously said it had ‘identified some anomalies within our network infrastructure’. Really, what do these explanations actually explain?
Problem unique to UK & Europe
The problem was unique to customers in the UK and Germany, Microsoft had said earlier on Friday, but it was also reported, on social media, that people in Sweden, Finland and Poland had been unable to access services.
There were reports from both of these countries on Downdetector, as well as other European countries.
In a world first, it was recently reported that artificial intelligence (AI) demonstrated the ability to negotiate a contract autonomously with another artificial intelligence without any human involvement.
Luminance at its London headquarters, demonstrated its AI, called Autopilot, negotiating a non-disclosure agreement in a matter of minutes.
It marks the first time AI has ever negotiated a contract with another AI, with no human involvement.
The only input from a human that is still required, is the signing of the contract.
In a world first, artificial intelligence (AI) demonstrated the ability to negotiate a contract autonomously.
An old well established and trusted tech brand pivoting to AI that has a high dividend yield is IBM, which has been around for more than a century and is known for both its hardware and software products.
IBM is investing heavily in AI, cloud computing, and quantum computing, and has recently acquired several AI start-ups, such as Instana, Turbonomic, and Waeg.
IBM also has a partnership with OpenAI, one of the leading AI research organizations, to provide cloud infrastructure for its AI models.
Investors who love IBM expect the company to grow its earnings by around 10% annually over the next five years. Investors were also impressed with IBM’s dividend yield, which is currently around 4.5%. Dividends are a great way to generate passive income.
IBM is not the only tech company that is pivoting to AI. Google, Microsoft, and Anthropic are competing in the field of generative AI, which can create text, images, music, and more from natural language prompts.
Integrate generative AI
These companies are attempting to integrate generative AI into their products and services, such as search engines, maps, word processors, office applications, chatbots, and more. Generative AI is seen as a game-changer for many industries and applications, and could potentially disrupt the dominance of Big Tech.
Legacy companies can pivot to a platform model, which is a business strategy that connects producers and consumers of value through a digital interface. Platform companies like Facebook, Amazon, Google, and Tencent have created value at stunning rates, and have grown rapidly and own large market shares.
IBM mainframe from the 1970’s
Legacy companies can leverage their existing systems, such as customer relationships, data, and brand recognition, to create platforms that offer impressive and immersive products and services.
Other successful platform pivots are Disney+, which transformed Disney from a media producer to a media platform; Nike+, which connected Nike’s physical products with digital services; and John Deere, which created a platform for precision agriculture.
As OpenAI ChatGPT continue to take the AI world by storm, others play catch-up.
Aleph Alpha, which has built its own large language models, raised $500 million backed by Bosch, SAP and Hewlett Packard Enterprise.
It is reported that Aleph Alpha will use the new funds to invest in research on foundation models, advanced product capabilities and marketing of its software.
A big part of what Aleph Alpha is pushing for with its technology is a concept known as ‘data sovereignty’ the concept that data stored in a certain country is subject to that country’s laws.
The fund-raising round was backed predominantly by German firms, with enterprise IT giant SAP and Schwarz Group, (the owner of Lidl). Park Artificial Intelligence and Burda Principal Investments also invested.
If you were wondering…
Aleph is the first letter of the Hebrew alphabet and Alpha is the first letter of the Greek alphabet.
Nintendo reported better-than-expected sales and profit for fiscal Q2 on Tuesday 6th November 2023 as it continues to benefit from the Zelda game released this year and from the Super Mario Movie.
Nintendo said it sold 6.84 million Switch consoles in the April to September period, up 2.4% year-on-year. The company maintained its forecast for 15 million Switch unit sales. The Nintendo Switch is 6 years old – pretty good going for an old console.
Nintendo raised its sales and profit forecast for its current fiscal year. Nintendo’s revenue fell 4% year-on-year and its profit dropped 19%.
Sales in the first half of the fiscal year were the largest since the launch of the Switch, Nintendo reportedly said in a statement.
Elon Musk is one of the most influential and visionary leaders in the field of AI.
He has recently shared his views on how AI will eventually create a situation where no job is needed, and how humans will have to find meaning in life.
Disruptive or force for good?
Elon Musk recently reportedly said that AI will have the potential to become the ‘most disruptive force in history’ and that it will be smarter than the smartest human.
He compared AI to a ‘magic genie’ that would grant unlimited wishes to its owners. He also said that AI will be able to do everything, and that people will not need to work for money, but only for personal satisfaction.
‘AI genie is out of the bottle!’
This is a very optimistic and futuristic vision of AI, but it also raises some important questions and challenges.
How will humans cope with the loss of work and purpose?
How will society and economy function without jobs and income?
How will humans ensure that AI is aligned with their values and interests?
How will humans prevent AI from becoming a threat or a tyrant?
UK AI summit
These are some of the issues that were discussed at the AI Safety Summit 2023 at Bletchley Park in England, where world leaders agreed to a global communique on AI that recognized the potential risks associated with AI.
The summit was attended by, Prime Minister Rishi Sunak, U.S. Vice President Kamala Harris and other tech and business executives, including Elon Musk himself.
Benefit or a disaster waiting to happen?
AI is a powerful technology that can bring many benefits and opportunities to humanity, but it also requires careful and responsible development and regulation. It can bring ‘disaster’ too if not managed constructively.
It is hoped humans and AI can coexist peacefully and harmoniously in the future.
Grok is a neologism (a newly coined word or expression), referenced by Robert A. Heinlein for his 1961 science fiction novel Stranger in a Strange Land. It means to understand something so deeply that you become one with it.
Grok is a term used in computer programming to mean to ‘profoundly understand something‘, such as a system, a language, or an algorithm.
Elon Musk’s Grok
Elon Musk debuts ‘Grok’ AI bot to rival ChatGPT and others. But, ‘Grok’ isn’t quite ready yet for the general public – it still has some learning to do. xAI, Elon Musk’s new AI venture, launched its first AI chatbot technology named ‘Grok’.
The prototype is in its infancy and early stages of training and is only available to a select group of users before a wider release.
Elon Musk debuts ‘Grok’ AI bot to rival ChatGPT and others. But, ‘Grok’ isn’t quite ready yet for the general public – it still has some learning to do…
Musk is positioning xAI to compete with OpenAI, Inflection, Anthropic and others.
Less woke
Grok, the company said, is modelled on‘The Hitchhiker’s Guide to the Galaxy’. It is supposed to have ‘a bit of wit, a rebellious streak’ and it should answer the ‘spicy questions’ that other AI might dodge, according to a statement from xAI.
Grok, the company said, is modelled on ‘The Hitchhiker’s Guide to the Galaxy’.
The company’s published mandate is to build artificial intelligence ‘to advance our collective understanding of the universe’. Musk has previously said that he believes today’s AI makers are bending too far toward ‘politically correct’ systems.
xAI’s mission, it reportedly said, ‘is to create AI for people of all backgrounds and political views’.
Future AI
Self-driving car technology, an AI Chatbot built around humour with access to current public data through X, a robot called Optimus and Musk’s drive for the ‘different’. If you add all this together, X.ai, through Musk, is likely positioning itself for the next big push in AI…
There is some evidence that AI could create the next financial crisis, according to some experts and regulators.
AI scenarios
AI could increase the complexity and opacity of financial markets, making it harder to monitor and prevent systemic risks. For example, AI could enable new forms of market manipulation, fraud, or cyberattacks that could destabilize the financial system.
AI could create feedback loops or cascading effects that could amplify shocks and cause contagion across different sectors and regions. For example, AI could trigger flash crashes or sudden liquidity shortages that could spread rapidly and disrupt market functioning.
AI could create new sources of concentration and interdependence that could increase the vulnerability of the financial system. For example, AI could create a reliance on a few dominant data providers, platforms, or models that could fail or malfunction.
AI bots could take control of a stock trading platform or worse a stock exchange.
These are some of the possible scenarios that AI could create the next financial crisis. However, there are many potential benefits and opportunities that AI could bring to the financial sector, such as enhancing efficiency and innovation and even enhancing easier access and personal financial control for millions of investors and savers.
AI could lead to the next financial crash! It could also enhance personal financial control.
The UK supercomputer project is a major initiative by the UK government to boost the country’s capabilities in artificial intelligence, weather forecasting, climate research and other highly important scientific research projects.
The project involves building and connecting two new supercomputers across the UK: Isambard-AI and Dawn.
Dawn will be a new supercomputer cluster at the University of Cambridge, delivered by a partnership with Dell and UK SME StackHPC. It will be powered by over 1,000 Intel chips that use water-cooling to reduce power consumption. It will target breakthroughs in fusion energy, healthcare and climate modelling.
The UK supercomputer project is part of a £300 million investment from the government to create a new national Artificial Intelligence Research Resource for the country. The project is expected to be completed by summer 2024.
The investment comes as the UK hosts an AI safety summit in Bletchley Park, home of World War II codebreakers.
These announcements are all part of the £1 billion supercomputer plan launched in May 2023.
The White House has announced what it is calling ‘the most significant actions ever taken by any government to advance the field of AI safety’.
Oh really! Coincidence or deliberate attempt to undermine the UK AI safety drive?
This news comes as the UK draws attention hosting a UK led AI summit. The U.S. wants to police and control the AI arena too as it does most other aspects of our life.
Biden order
An executive order from President Biden requires Artificial Intelligence AI developers to share safety results with the U.S. government. It is an attempt to place the U.S, at the centre of the global debate on AI governance.
However, this is a position the UK government has already engineered as the UK AI safety summit gets underway this week. The UK desires to place itself at the centre of AI governance.
U.S. executive order
The U.S. executive order from Biden suggests the U.S. fancies itself as the leader of global AI governance in terms of how to address such threats or does it simply want to stamp its authority in the AI world. It tried to do the same with cryptocurrencies but fundamentally failed.
U.S. measures include
Creating new safety and security standards for AI, including measures that require AI companies to share safety test results with the federal government.
Protecting consumer privacy, by creating guidelines that agencies can use to evaluate privacy techniques used in AI.
Helping to stop AI algorithms discriminate and creating best practices on the appropriate role of AI in the justice system.
Creating a program to evaluate potentially harmful AI related healthcare practices and creating resources on how educators can responsibly use AI tools
Working with international partners to implement AI standards around the world.
UK AI summit
The UK summit is referenced in the executive order. But it’s mentioned under the heading of ‘advancing American leadership abroad’ – indicating that the U.S. very clearly knows that it is the big player here alongside China.
The UK is determined to position itself as a global leader in the space of trying to minimise the risks posed by this powerful technology.
However, U.S. Vice President Kamala Harris and top executives from the U.S. tech giants are arriving in the UK this week to discuss AI safety at the UK government’s AI Summit, which it has billed as a ‘world first’.
The summit, hosted by UK Prime Minister Rishi Sunak, will focus on the growing fears about the implications of so-called frontier AI. President of the EU Commission Ursula von der Leyen and UN Secretary-General Antonio Guterres will also be in attendance.
The UK is determined to position itself as a global leader in the space of trying to minimise the risks posed by this powerful technology.
But the U.S. as usual, will want to be in control…
The UK government said it intends to bring a number of crypto asset activities under the same regulations that govern banks and other financial services firms.
Regulating a broad suite of crypto activities, such as trading, lending, and custody services.
Strengthening rules for crypto trading platforms and requiring them to have admission and disclosure documents.
Introducing a crypto market abuse regime to prevent manipulation and fraud.
Enhancing oversight of stablecoins, which are digital tokens pegged to fiat currencies or other assets.
The government’s consultation paper is open for feedback until January 31, 2024.
The government said it is committed to embracing technological change and innovation, while mitigating the most significant risks posed by crypto-assets.
Apple and generative AI technology is a topic that has been generating a lot of interest and speculation lately.
According to various reports, Apple is working on developing its own large language model and chatbot, which could potentially enhance its products and services with new features and capabilities. However, some analysts and experts have also raised questions about whether Apple has missed an opportunity to be a leader in the generative AI field, as it seems to be lagging behind its competitors such as Google, Microsoft, and OpenAI.
Apple uses AI in its products but hasn’t launched a generative AI product along the lines of OpenAI’s ChatGPT or Google Bard. Instead, Apple’s AI is used for improving photos and autocorrecting text.
$1 billion per year plan
Apple is on track to spend $1 billion per year on developing its generative artificial intelligence products, Bloomberg reported.
Apple is looking to use AI to improve Siri, Messages and Apple Music.
The spending comes as the company plays catch-up to some competitors who have already debuted new AI products and features, such as Google, Microsoft and Amazon.
Apple was caught flat-footed when ChatGPT and other AI tools took the technology industry by storm.
Generative AI
Generative AI is a subfield of artificial intelligence that focuses on creating content such as text, images, videos, music, and more, based on data and algorithms. One of the most popular examples of generative AI is ChatGPT, a chatbot that can respond to questions and other prompts in a natural and human-like way.
Watercolour artwork impression – ChatGPT was released by OpenAI in 2022, and since then, it has been widely used and improved by various companies and researchers.
ChatGPT was released by OpenAI in 2022, and since then, it has been widely used and improved by various companies and researchers.
Apple slow response
Apple, on the other hand, has been relatively quiet about its generative AI efforts, until recently. In October 2023, Bloomberg reported that Apple was internally testing a ‘ChatGPT-like’ chatbot nicknamed ‘Apple GPT’, but it had not devised a clear strategy for releasing generative AI tools to the public. Apple’s CEO Tim Cook also confirmed that the company was working on generative AI for years, but it was approaching it ‘really thoughtfully and think about it deeply’ because of the potential risks and challenges.
Potential challenges Apple faces in developing and deploying generative AI
Privacy
Apple has always been more cautious than its competitors in handling user data, and it has built its reputation on being a privacy-focused company. However, generative AI requires a lot of data to train and improve its models, which could pose a dilemma for Apple. How can it balance the need for data with the respect for user privacy? How can it ensure that its generative AI does not leak or misuse personal information?
Design
Apple is known for its elegant and intuitive design philosophy, which applies to both its hardware and software products. However, generative AI is a complex and unpredictable technology, which could challenge Apple’s design principles. How can it make its generative AI features easy to use and understand for its customers? How can it avoid confusing or misleading users with its generative AI outputs?
Ethics
Apple has always been mindful of the social and ethical implications of its products, and it has often taken a stance on issues such as human rights, environmental sustainability, and diversity. However, generative AI could raise new ethical concerns, such as bias, misinformation and manipulation. But then that is a common problem for all generative AI systems.
Generative AI could raise new ethical concerns, such as bias, misinformation and manipulation.
These are some of the questions that Apple needs to answer before it can launch its generative AI products to the public. It is possible that Apple is taking its time to address these issues carefully and thoroughly, as it has done in the past with other technologies such as Face ID or Apple Pay. However, it is also possible that Apple has missed an opportunity to be a pioneer in the generative AI field, as it has done in the past with other technologies such as smart speakers or cloud computing.
While Apple is working on its generative AI projects internally, its competitors are already offering generative AI.
Google
Google has integrated its large language model LaMDA into various products and services, such as Google Assistant, Google Photos, Google Docs, Google Translate etc. LaMDA can generate natural and conversational responses to any query or prompt, as well as create images and videos based on text descriptions.
Microsoft
Microsoft has acquired OpenAI’s ChatGPT technology and made it available through its Azure cloud platform. ChatGPT can be used by developers and businesses to create chatbots, voice assistants, content generators, and more. Microsoft has also integrated ChatGPT into some of its products such as Outlook, Teams, PowerPoint, and more.
Amazon
Amazon has launched Alexa Conversations, a feature that allows Alexa users to have more natural and engaging conversations with the voice assistant. Alexa Conversations can also leverage Amazon’s vast e-commerce data to provide personalized recommendations and suggestions to users.
These are just some examples of how generative AI is being used by Apple’s competitors.
Robot chatting to human chatbot online
Apple has missed an opportunity to be a leader in the generative AI field by being too slow or too cautious in developing and deploying its own generative AI products.
However, it is highly likely that Apple is waiting for the right moment to surprise everyone with its innovative and unique generative AI features that will set it apart from its competitors.
The price of Bitcoin breached the $34,000 level to hit its highest value since May 2022, encouraged by optimism around the possibility of a Bitcoin ETF.
Bitcoin was trading at one point on Tuesday morning, 23rd October 2023 touched $34,940 before pulling back.
Bitcoin one month chart October 2023
Anticipation of a Bitcoin ETF grew after the court sided with Grayscale over the U.S. SEC in its bid to turn its huge GBTC Bitcoin fund into an ETF.
Nokia is planning to cut up to 14,000 jobs worldwide, or some16% of its workforce, as part of a cost-cutting plan following a 69% plunge in third-quarter profits.
The Finnish technology company said the planned measures are aimed at reducing its cost base by between €800 million and €1.2 billion by the end of 2026.
The cuts were announced as the company revealed a 20% drop in third-quarter sales, which fell to €4.98 billion from €6.24 billion a year earlier. The company’s biggest unit by revenue; the mobile networks business, declined 24% to €2.16 billion, driven mainly by weakness in the North American market.
Nokia’s CEO Pekka Lundmark said the company was taking decisive action on three levels: strategic, operational and cost. He also reportedly said he remained confident about the opportunities ahead of the company.
I guess there’s not much else he could have said really.
The price of Bitcoin is influenced by many factors, such as supply and demand, market sentiment, news events, regulations, and technical analysis.
One of the recent news events that affected the price of Bitcoin was the speculation about the approval of a Bitcoin ETF by the U.S. Securities and Exchange Commission (SEC). A spot Bitcoin ETF is an exchange-traded fund (ETF) that directly holds Bitcoin and tracks its price movements.
This would allow investors to gain exposure to Bitcoin without having to buy, store, or manage it themselves. A spot Bitcoin ETF would also increase the liquidity and legitimacy of the Bitcoin market, potentially attracting more institutional and retail investors.
Waiting approval
However, the SEC has not yet approved any Bitcoin ETF applications, despite receiving several from various financial firms, such as Blackrock and Fidelity. The SEC has expressed concerns about the risks of fraud, manipulation, and volatility in the Bitcoin market.
Bitcoin one year chart October 2022 – October 2023
The SEC has only approved one Bitcoin-related ETF so far, which is the ProShares Bitcoin Strategy ETF that tracks the price of Bitcoin futures contracts, not the actual Bitcoin. Bitcoin futures contracts are agreements to buy or sell Bitcoin at a predetermined price and date in the future. They are traded on regulated exchanges.
Rumour
On 16th October, 2023, a false rumour circulated on social media that the SEC had approved a Bitcoin ETF from Blackrock, the world’s largest asset manager. This rumour caused a surge in the demand and price of Bitcoin, which briefly breached the $30,000 mark.
However, this ‘news’ was quickly corrected by both Blackrock and the SEC, and the price of Bitcoin fell back to its previous levels. The rumour may have been fueled by the anticipation and excitement in the crypto community for a spot Bitcoin ETF approval, which many analysts believe would boost the price of Bitcoin significantly.
Crypto volatility
The false rumour about the Bitcoin ETF approval was one of the major factors that contributed to the 10% climb and subsequent drop of bitcoin on the 16th October, 2023.
Be careful
The price of Bitcoin is determined by the interaction of buyers and sellers in a global and decentralized market that operates 24/7. As such, it is subject to high volatility and unpredictability.
The price of Bitcoin is determined by the interaction of buyers and sellers in a global and decentralized market that operates 24/7. As such, it is subject to high volatility and unpredictability.
Investors should always do their own research and due diligence before investing in any cryptocurrency or any financial product.
Remember to always do your ownRESEARCH!RESEARCH!RESEARCH!
Definitions
ETF – Exchange Traded Fund is a type of investment fund that can be bought or sold on a stock exchange like a regular stock. An ETF usually holds a selection of securities, such as stocks, bonds, commodities, or currencies, that track a specific index, sector, or asset class.
Bitcoin is a type of digital currency that can be used for online transactions without the need for a central authority or intermediary. Bitcoin is based on a technology called blockchain, which is a distributed ledger that records and verifies all transactions in a network of computers. Bitcoin is created and rewarded to the participants who contribute their computing power to maintain and secure the network, a process known as mining. Bitcoin has a limited supply of 21 million units, which are divided into smaller units called satoshis.
Bitcoin is based on a technology called blockchain, which is a distributed ledger that records and verifies all transactions in a network of computers.
Bitcoin was invented in 2008 by an anonymous person or group using the name Satoshi Nakamoto, who published a white paper describing the concept and design of Bitcoin.
The first Bitcoin transaction was made in 2009, when Nakamoto sent 10 bitcoins to a computer programmer named Hal Finney. Since then, Bitcoin has grown in popularity and value, attracting millions of users and investors around the world.
Securities and Exchange Commission (SEC) is a U.S. government agency that regulates the securities markets and protects investors. The SEC was established by the passage of the U.S. Securities Act of 1933 and the Securities and Exchange Act of 1934, largely in response to the stock market crash of 1929 that led to the Great Depression.
The SEC has three main objectives: to ensure full public disclosure of information, to prevent fraud and manipulation in the market, and to facilitate capital formation for economic growth.
The SEC oversees various entities and activities in the securities markets, such as securities exchanges, brokers, dealers, investment advisers, mutual funds, corporate issuers, and securities transactions. The SEC enforces the federal securities laws by requiring companies to register their securities and disclose relevant information to the public through its electronic database called EDGAR.
The SEC also investigates and prosecutes violations of the securities laws, such as insider trading, market manipulation, accounting fraud, and disclosure fraud.
The curbs are aimed at closing loopholes that became apparent after the U.S. announced export curbs on microchips in October 2022. The restrictions are designed to prevent China’s military from importing advanced semiconductors or equipment.
Nvidia has said in a filing that the new export restrictions will block sales of two high-end artificial intelligence chips it created for the Chinese market – A800 and H800. It said that one of its gaming chips will also be blocked.
Nvidia Corp one month chart – closed at 439.38 17th October 2023
Although the curbs also affect other chip makers, analysts believe Nvidia will be hit the hardest because China accounts for up to 25% of its revenues from data centre chip sales. Nvidia’s shares, which are considered a star stock, fell by as much as 4.7% in the wake of the announcement.
Semiconductor Industry Association
The Semiconductor Industry Association, which represents 99% of the U.S. semiconductor industry by revenue, said in a statement that the new measures are ‘overly broad‘ and ‘risk harmingthe U.S. semiconductor structure without advancing national security as they encourage overseas customers to source elsewhere’.
China reacts
A spokesperson for the Chinese embassy also said that it ‘firmly opposes‘ the new restrictions, which also target Iran and Russia and go into effect in 30 days.
Nvidia stock falls after restrictions on AI chip exports from U.S. to China
Two months ago, China retaliated by restricting exports of two materials, gallium and germanium, which are key to the semiconductor industry.
The materials are ‘minor metals‘, meaning that they are not usually found on their own in nature, and are often the by-product of other processes. It’s not only the U.S., Japan and the Netherlands – which is home to key chip equipment maker ASML – have also imposed chip technology export restrictions on China.
Fallout
The constant ‘fall-out’ between the world’s two biggest economies has raised concerns over the rise of so-called ‘resource nationalism‘ – a practice where governments hoard critical materials to exert influence over other countries.
Will these projects alter the world weather pattern?
According to a study, installing large-scale wind and solar farms in the Sahara desert could increase rainfall and vegetation in the region. The researchers simulated the effects of covering 20% of the Sahara with solar panels and wind turbines and found that it would trigger a feedback loop of more monsoon rain and more plant growth.
This could have benefits for the local environment and the global climate, as well as providing a huge amount of clean energy for the world.
Could it also create a detrimental effect to the ecosystem too?
10.5 GW solar energy
The desert project would produce 10.5 GW of solar power and 3 GW of wind power. However, there are also challenges and uncertainties involved, such as the cost, feasibility, and environmental impacts of such a massive undertaking.
The Sahara is a desert on the African continent. With an area of 9,200,000 square kilometres, it is the largest hot desert in the world and the third-largest desert overall, smaller only than the deserts of Antarctica and the northern Arctic.
Daily global electricity energy demand
The global electricity energy demand is the amount of electricity that the world needs in a given day. It can be calculated by multiplying the average global electricity demand in GW by 24 hours. According to the International Energy Agency (IEA), the average global electricity demand in 2020 was about 3 TW or 3 000 GW. This means that the global electricity energy demand in 2020 was about 72 000 GWh or 72 TWh per day. However, this is an average value, and the actual demand may vary depending on the season, time of day, weather, and other factors.
The researchers simulated the effects of covering 20% of the Sahara with solar panels and wind turbines and found that it would trigger a feedback loop of more monsoon rain and more plant growth.
In the Announced Pledges Scenario, renewables in electricity generation rise from 28% in 2021 to about 50% by 2030 and 80% by 2050.
