Observe. Think. Chat. Do. Trade. Repeat…
X.AI, Elon Musk’s artificial intelligence (AI) startup, has filed with the SEC to raise up to $1 billion in an equity offering.
The company has already raised nearly $135 million with the first round on 29th November 2023 according to the filing.
The AI startup, which Musk announced in July 2023, seeks to ‘understand the true nature of the universe’, according to X.AI website.
According to some sources, Big Tech and AI are contributing to the water crisis by using large amounts of water to cool their data systems and AI computations.
Researchers estimate that Microsoft used 1.7 billion gallons of water for AI alone in 2022, a 34% increase from 2021. Google also reported a 20% increase in water usage, mostly due to its AI work. One of the most water-intensive AI models is ChatGPT, which is estimated to use half a litre of water for every series of prompts.
These numbers are alarming, considering that water is a finite and vital resource for humans and ecosystems.
ChatGPT is estimated to use the equivalent of one 16-ounce bottle of water (approx’ half a litre) for every 20-50 queries according to a study by Shaolei Ren, an associate professor of electrical and computer engineering at the University of California.
Some tech companies are aware of the environmental impact of their AI activities and are trying to find ways to reduce their water consumption and carbon footprint. For example, Microsoft has pledged to become water positive, carbon negative, and waste-free by 2030.
Google has also set a goal to operate on 24/7 carbon-free energy by 2030. OpenAI, the creator of ChatGPT, has stated that it is working on improving the efficiency of its AI models. Some possible solutions include using renewable energy sources, developing better algorithms and hardware, and locating data centres in colder climates.
Some argue that Big Tech and AI are using too much water, and that they should be regulated. They should be held accountable for their environmental impact.
Others may contend that Big Tech and AI are providing valuable services and innovations and they are taking steps to mitigate their water usage and become more sustainable.
Amazon’s AWS cloud department of the encompassing Amazon empire has announced new chips for customers to build and run artificial intelligence (AI) applications on, as well as plans to offer access to Nvidia’s latest chips.
Amazon Web Services is attempting to stand out as a cloud provider with a variety of cost-effective options. It won’t just sell cheap Amazon-branded products, though. Just as in its online retail marketplace, Amazon’s cloud will feature top-of-the-line products from other vendors, including highly sought after GPUs from top AI chipmaker Nvidia
Amazon’s dual-pronged approach of both building its own chips and letting customers access Nvidia’s latest chips might will help it against its top cloud computing competitor, Microsoft.
Tech execs have expressed concern that the development of artificial intelligence (AI) is concentrated in the hands of too few companies, potentially giving them too much power. OpenAI’s ChatGPT marked the start of what many in the industry have called an AI arms race, as tech giants including Microsoft and Google have sought to develop and launch AI models.
A number of tech execs have said that they feel users have lost control of their data online and that it is being harnessed by technology giants to feed their profits.
The development of artificial intelligence (AI) is concentrated in the hands of too few companies, potentially giving them excessive control over the rapidly evolving technology.
An explosion of interest in AI was sparked by OpenAI’s ChatGPT late last year thanks to the novel way in which the chatbot can answer user prompts. Its popularity contributed to the start of what many in the tech industry have called an AI arms race, as tech giants including Microsoft and Google seek to develop and launch their own artificial intelligence models. These require huge amounts of computing power as they are trained on massive amounts of data.
‘Right now, there are only a handful of companies with the resources needed to create these large-scale AI models and deploy them at scale. And we need to recognize that this is giving them inordinate power over our lives and institutions’, Meredith Whittaker, president of encrypted messaging app Signal, is reported to have said. ‘We should really be concerned about, again, a handful of corporations driven by profit and shareholder returns making such socially consequential decisions’.
Whittaker previously spent 13 years at Google but became disillusioned in 2017 when she found out the search giant was working on a controversial contract with the Department of Defence known as Project Maven. Whittaker grew concerned Google’s AI could potentially be used for drone warfare and helped organize a walkout at the company that involved thousands of employees.
‘AI, as we understand it today, is fundamentally a technology that is derivative of centralized corporate power and control’, Whittaker reportedly said. ‘It is built on the concentrated resources that accrued to a handful of large tech corporations, largely based in the U.S. and China via the surveillance advertising business model, which gave them powerful computational infrastructure and huge amounts of data; large markets from which to pull that data; and the ability to process and structure that data in ways useful for creating new technologies.’
In essence, BIG TECH has far too much power in AI technology.
The inventor of the web, Tim Berners-Lee, has also raised concerns about the concentration of power among the tech giants. Jimmy Wales, the founder of Wikipedia, says it is the state of social media that is of particular concern right now. On AI, however, he feels that while the technology giants now are leading the way, there is space for disruption.
Big tech and social media giants are inflicting profound damage on our society, and he believes AI could make this worse.
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.
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’s revenue grew 206% year over year during the quarter ending 29th October 2023, according to data from Nvidia.
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.
Shares of Nvidia closed up 2.3% at an all-time high of $504 on Monday 20th November 2023. The record comes ahead of the company’s Q3 results due Tuesday 21st November 2023, when analysts are expecting to see revenue growth of over 170%.
And, if that’s not enough, the forecast for Q4, according to some analysts, is likely to show a number close to 200% growth.
Nvidia is still by far the market leader in GPUs for AI, but high prices and competition are fast becoming an issue.
Can Nvidia continue the AI ride and hold this remarkable market share position?
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.
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 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?
Microsoft ended Tuesday’s trading session at a record high of $360.53, following fresh optimism about growth from a key partner in artificial intelligence (AI). The increase gives the company a market value of about $2.68 trillion.
At a tech event on Monday 6th November 2023, Microsoft’s AI partner, OpenAI, announced a batch of updates, including price cuts and plans to allow people to make custom versions of the ChatGPT chatbot.
Microsoft CEO Satya Nadella attended and emphasized that developers building applications with OpenAI’s tools could get to market quickly by deploying their software on Microsoft’s Azure cloud infrastructure.
Microsoft has invested a reported $13 billion in OpenAI, which has granted Microsoft an exclusive licence on OpenAI’s GPT-4 large language model that can generate human-like prose in response to a few words of text.
Last week, Microsoft announced the release of an AI add-on for its Office productivity app subscriptions and an assistant in Windows 11, both of which rely on OpenAI models.
The future is looking bright for Microsoft right now.
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.
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.
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.
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 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.
Musk is positioning xAI to compete with OpenAI, Inflection, Anthropic and others.
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.
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’.
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…
…A humanoid robot for the workplace and for the home! Get ready… it’s coming!
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.
As always, it is important to balance the risks and rewards of AI and to develop appropriate regulatory frameworks and ethical standards to ensure its safe and responsible use.
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.
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.
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.
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.
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 chatbots will have ‘personality’ and specialise in certain subjects, like holidays, and cooking. Let’s hope they haven’t been modelled on the company boss then.
It is the latest attempt in a chatbot ‘chat’ race between tech’ companies desperate to produce more accurate and personalised artificial intelligence. The chatbots are still a work in progress with ‘limitations’, said boss Mark Zuckerberg.
During Meta’s first in-person event since before the pandemic, Mr Zuckerberg said that it had been an ‘amazing year for AI’. The company is calling its main chatbot ‘Meta AI’ and can be used in messaging. For example, users can ask Meta AI questions in chat ‘to settle arguments’ or ask other questions.
It’s been touted as fun entertainment and not just question answering.
I wonder if these AI chatbots will be as good as the Metaverse rollout has been so far?
Zuckerberg’s ‘personality’ chatbots are a new feature of Meta, the company formerly known as Facebook. They are artificial intelligence agents that can chat with users on Messenger, using the faces and voices of celebrities like Snoop Dogg, Kendall Jenner, and Tom Brady.
They are supposed to have different personalities and interests, such as sports, cooking, or music. Meta claims that they are for entertainment purposes only, and that they have limitations on what they can answer.
However, some critics have raised ethical and social concerns about these chatbots. They argue that they are creating “counterfeit people” that could deceive or manipulate users, especially young ones. They also question the consent and privacy of the celebrities whose identities are used by the chatbots. They warn that these chatbots could pose dangers to the authenticity and trustworthiness of online communication.
If you are curious about these chatbots, you can try them out on Messenger by searching for their names. But be aware that they are not real people, and that they may not give you accurate or reliable information. They are just products of Meta’s artificial intelligence technology, which is still a work in progress – a bit like the Metaverse.
All this wonderful AI tech and what do we do? Play games with it!
Luddites were a group of workers who protested against the use of machinery that threatened their livelihoods in the early 19th century in Britain. They were not opposed to technology in general, but to the specific machines that were ‘taking away their livelihoods’.
They attacked factories and smashed machines that were replacing their jobs with cheaper and less skilled labour.
Some people have compared the Luddites to the modern movements that resist the effects of Big Tech and artificial intelligence (AI) on workers’ lives. They argue that these technologies are creating a new wave of automation that is displacing workers, eroding their rights, and increasing inequality.
They also point out that the Luddites had the support of a majority of English people and eventually led to changes in the law that improved workers’ conditions.
However, others have criticized this comparison as inaccurate or misleading. They claim that the Luddites were not successful in stopping technological progress, and that their actions were violent and destructive.
They also suggest that the Luddite fallacy, which refers to the belief that technological progress causes mass unemployment, has been proven wrong by history. They contend that technology can create new opportunities and benefits for workers, as long as society adapts and regulates it properly.
The question of whether a new modern Luddite rebellion can rise against Big Tech is not a simple one. It depends on how we define Luddites, how we evaluate the impacts of technology, and how we respond to the challenges and opportunities it presents.
OpenAI’s ChatGPT can now ‘see, hear and speak,’ or, at least, understand spoken words, respond with a synthetic voice and process images, the company announced Monday 25th September 2023.
The update to the chatbot OpenAI’s biggest since the introduction of GPT-4, allows users to opt into voice conversations on ChatGPT’s mobile app and choose from five different synthetic voices for the bot to respond with. Users will also be able to share images with ChatGPT and highlight areas of focus or analysis.
The changes will be rolling out to paying users in the next two weeks, OpenAI said. ‘While voice functionality will be limited to the iOS and Android apps, the image processing capabilities will be available on all platforms’.
The big feature push comes alongside ever-rising stakes of the artificial intelligence (AI) race among chatbot leaders such as OpenAI, Microsoft, Google and Anthropic. In an effort to encourage consumers to adopt generative AI into their daily lives, tech giants are racing to launch not only new chatbot apps, but also new features. Google has announced updates to its Bard chatbot, and Microsoft added visual search to Bing.
Earlier this year, Microsoft’s expanded its investment in OpenAI, an additional $10 billion, it made it the biggest AI investment of the year. In April 2023, the startup reportedly structured a $300 million share sale at a valuation of between $27 billion and $29 billion, with investments from firms such as Sequoia Capital and Andreessen Horowitz.
Experts have raised concerns about AI-generated synthetic voices, which in this case could allow users a more natural experience but also enable more convincing deepfakes. Cyber threat investigators and researchers have already begun to explore how deepfakes can be used to penetrate cybersecurity systems.
OpenAI acknowledged those concerns in its announcement, saying that synthetic voices were ‘created with voice actors we have directly worked with,’ rather than collected from strangers.
The release also provided little information about how OpenAI would use consumer voice inputs, or how the company would secure that data if it were used. OpenAI did not immediately respond to CNBC’s request for comment, and the company’s terms of service say that consumers own their inputs ‘to the extent permitted by applicable law.’
ChatGPT is an acronym for Chat Generative Pre-trained Transformer. It is a name of an artificial intelligence model that can generate natural language text based on user input.
It was developed by OpenAI, a research organization dedicated to creating and ensuring the safe and beneficial use of artificial intelligence (AI). ChatGPT can be used for various purposes, such as answering questions, having conversations, and producing creative writing.
The 66-year-old founded SoftBank, which still controls about 90% of Arm Holdings after the IPO, back in 1981 after graduating from the University of California, Berkeley. Forbes estimates his net worth at more than $24 billion, making him the world’s 69th richest person.
Son made his early reputation as an investor in Japan’s mobile phone industry, and went on to become one of the first backers of Yahoo as well as Alibaba. Son continues to serve as the chairman of Arm’s board of directors.
AI does pose some threats to humanity if mishandled, Son said, likening its potential misuse to the dangers of speeding, or drinking alcohol while driving a car. But, more positively, AI can also help solve key world problems like diseases or help mitigate or recover from natural disasters, he reportedly said.
‘AI, society should regulate to protect humankind’, Son said. ‘However, it has more merit than the demerits. So, I think I’m a believer. I’m optimistic that AI is going to solve the issues that mankind couldn’t solve in the past‘.
The Magnificent Seven is a term to describe seven tech’ stocks that have been surging in 2023.
These seven stocks are considered to be dominant in their respective fields and have strong growth prospects driven by innovation and artificial intelligence (AI).
They have outperformed the broader market and attracted many investors who are looking for exposure to the tech’ sector. Some analysts believe that these stocks will continue to lead the market in the future, while others caution that they may face regulatory challenges, competition, or valuation issues.
The approximate combined market cap value of the Magnificent Seven as of September 2023 is approximately $11.8 trillion.
Note that these values will change over time as the stock prices fluctuate.
There are many funds that can trade tech stocks, depending on your investment objectives, risk tolerance, and preferences.
Technology mutual funds: These are funds that invest in a diversified portfolio of technology companies across different industries, such as software, hardware, internet, cloud, biotech, and more. Technology mutual funds can offer exposure to the growth potential of the tech sector, as well as reduce the volatility and risk of investing in individual stocks.
Some examples of technology mutual funds are Fidelity Select Technology Portfolio (FSELX), Columbia Global Technology Growth Fund (CGTYX), and Schwab U.S. Large-Cap Growth Index Fund (SCHG).
Technology exchange-traded funds (ETFs): These are funds that track an index of technology stocks and trade on an exchange like a stock. Technology ETFs can offer low-cost and convenient access to the tech sector, as well as allow investors to choose from different themes, such as cybersecurity, artificial intelligence (AI), cloud computing and more.
Some examples of technology ETFs are Invesco QQQ Trust (QQQ), Technology Select Sector SPDR Fund (XLK), and VanEck Vectors Semiconductor ETF (SMH).
Technology index funds: These are funds that replicate the performance of a specific technology index, such as the Nasdaq 100, the S&P 500 Information Technology Index, or the Morningstar U.S. Technology Index. Technology index funds can offer broad and passive exposure to the tech sector, as well as low fees and high tax efficiency.
Some examples of technology index funds are Fidelity NASDAQ Composite Index Fund (FNCMX), Vanguard Information Technology Index Fund Admiral Shares (VITAX), and iShares Morningstar U.S. Technology ETF (IYW).
NOTE: These are not recommendations. Investments may go up or down. Your money is at risk!
Always do your own research…
REASEARCH! REASEARCH! RESEARCH!
Baidu also announced that more than 6 million users have used an AI powered tool that sits inside its Google drive-like cloud product.
At the 4th September event, Baidu also demonstrated ‘displayed generative’ AI-based products that could assist with traffic management, financial research and coal mine logistics.
ChatGPT, from Microsoft-backed OpenAI, is not officially available in China, where Google and Facebook are blocked.
Chinese tech giant Baidu announced more than 10 new AI-based applications on 4th September 2023, just days after its ChatGPT-like Ernie bot was released for public use.
Among the products revealed was a generative AI-integrated word processing app called WPS AI, created by Shanghai-listed Kingsoft Office. It was reported the company built the tool using the AI model on which Baidu’s Ernie bot is based, as well as Baidu’s ‘Qianfan’ cloud platform for AI models.
Nearly 10,000 businesses are actively using Baidu’s Qianfan cloud platform each month, the company claimed.
Baidu also announced that more than 6 million users have used an AI-powered tool that sits inside its Google drive-like cloud product. The AI assistant can search documents, summarize and translate text and create content, the company claimed.
It wasn’t immediately clear to what extent those products were available for public use.
On 31st August 2023, Baidu released its Ernie bot to the public, signaling government approval of the AI-powered chatbot. Other Chinese companies also released similar AI products around the same time.
Chip design firm Arm on 5th September 2023 submitted an updated filing for its upcoming initial public offering on the New York Stock Exchange, setting a price range between $47 and $51. Only 9.4% of Arm’s shares will be freely traded on the NYSE.
Arm was previously listed in London and New York, before SoftBank acquired it for $32 billion in 2016.
Chip design firm Arm on Tuesday is looking to acquire as much as $4.87 billion in its upcoming initial public offering on the New York Stock Exchange, according to the new filing.
As a British company, Arm qualifies as a foreign private issuer in the U.S. and its shares will count as American depositary shares, or ADS’s. It is reported that the company will list some 95.5 million ADS’s at a price range of between $47 and $51. At the upper end of that range it is estimated that Arm will likely raise up to $4.87 billion. At the lower end, the IPO would fetch $4.49 billion of fresh capital for Arm. It could do even better.
When the company floats in New York, it will look to enjoy a very deep pool of professional institutional funds. Arm seeks to ramp up its investments in research and development, particularly as it pursues growth in the artificial intelligence (AI) space with some of its newer chips. The company recently released new chips specifically targeted at AI and machine learning use cases.
At the upper end of the pricing range, Arm would also touch a total valuation of $52 billion or more. Only 9.4% of Arm’s shares will be freely traded on the New York Stock Exchange, with SoftBank expected to own roughly 90.6% of the company’s outstanding shares after the completion of the IPO.
Arm’s listing is set to be the biggest technology IPO of the year. Investors are hoping that the listing could breathe new life into an IPO market that has been ‘slack’ since 2022.
Arm says its energy-efficient processor designs and software platforms are integrated into more than 250 billion chips globally, into products ranging from sensors and smartphones to supercomputers.
The company estimates it enjoys approximately 48.9% share of the market for semiconductor design. Other players, such as Intel and AMD, have raced to catch up on designing their own chip architectures, but have struggled so far.
The U.K. government had originally hoped Arm would list on the London Stock Exchange, but the company instead dealt a major blow to Britain’s ambitions to become the leading global tech hub by opting for New York. The U.S. financial center has a deep institutional investor base and analysts who have a close understanding of the technology sector.
Chip design firm Arm said in a Tuesday filing that Apple, Google parent Alphabet, Nvidia and other technology companies are interested in buying up to $735 million in its shares as it seeks to go public on Nasdaq.
The investments might not happen, but the fact that these companies are considering them underlines the importance of Arm, whose designs are used for processors in data center servers, consumer devices and industrial products.
Chip makers Intel, Samsung and TSMC are interested in investing alongside the three trillion-dollar technology companies, along with AMD and MediaTek, which make chip designs based on Arm architectures. Cadence Design Systems and Synopsys, which make electronic design automation software for processor development, have also expressed interest, according to a revised prospectus for Arm’s shares sale. This IPO could easily be the biggest of the 2023!
As part of the deal, Arm could wind up with a $52 billion market capitalization and almost $5 billion in new cash.
It is estimated that there will be about 19 billion devices using the Arm processor in the world by the end of 2023.
The market share of Arm across different technology markets worldwide, which was 90% for mobile application processors, 34% for embedded computing, and 5% for data center and cloud in 2019.
Arm has a target of increasing its market share to more than 90%, 50%, and 25% respectively by 2028.
Ha Jiang signed a record deal with Whet Records, Warner Music Group’s pan-Asian dance label in China, in 2021. Ha Jiang is the first virtual idol to conduct a record deal with a major label. The virtual idol uses AI technology to create music and has become an online sensation in Asia.
Ha Jiang is a virtual artist who uses artificial intelligence to create music. She is the first virtual idol to sign a record deal with a major label, Whet Records, which is Warner Music Group’s pan-Asian dance label in China. My understanding is that the music was composed by humans, so not entirely AI generated then.
She already has more than 100,000 followers in China and is known for her sense of style and fashion. She is also a social influencer who has been hired by the city of Shanghai to promote safe driving. Ha Jiang is not a real person, but a computer-generated avatar who only exists online. She is part of a growing phenomenon of virtual idols in Asia, especially among Gen-Z fans.
Endel, is a sound startup company that uses artificial intelligence to create personalized audio tracks. Endel was the first to sign a record deal with Warner Music Group in 2019 to release 20 albums of ambient music.
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.
The strong performance was driven by Nvidia’s data centre business, which includes AI chips.
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.
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.
A new artificial intelligence (AI) road safety camera system has been deployed on the A30 near Launceston, Cornwall, by Devon and Cornwall Police.
The camera system uses AI to detect potential offences such as using mobile phones or not wearing seatbelts while driving. The camera system can capture ultra clear images of the car’s interior and send them to a human reviewer who can issue a warning letter or a notice of intended prosecution, depending on the severity of the offence.
The camera system is the first of its kind to be used in the UK and it has caught almost 300 drivers breaking the law in the first three days of its operation. The camera system is part of the Vision Zero South West project, which aims to reduce road deaths and serious injuries in Devon and Cornwall. The project conducted a 15-day trial of a similar vehicle-based system last year and detected 590 seat belt and 45 mobile phone offences across various roads in the two counties.
The police hope that the new technology will help deter drivers from using their phones or not wearing their seatbelts, which are both dangerous and illegal behaviours that put people’s lives at risk.
The road safety system is from tech’ firm Acusensus.
The police have reportedly said they are ‘disappointed’ by the number of people not wearing seatbelts orand using their mobile ‘phones when drving.
Amazon’s AI chips are designed to perform tasks such as natural language processing, computer vision, speech recognition, and machine learning inference and training.
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.
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’.
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.
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.
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 AI battle continues…