Nvidia revenue is up 265% latest figures show and stock gains 15%

AI chip

The excitement surrounding artificial intelligence (AI) technology appears to show few signs of abating

The technology company at the heart of the AI chip boom reported its Q4 earnings after the stock market’s close on Wednesday 21st February 2024, beating expectations for both earnings and sales. The company’s total revenue is up 265% from a year ago.

Investors are looking to Nvidia’s latest quarterly earnings report to see whether the company’s meteoric growth can last.

Nvidia one year share price as at 22nd February 2024

Nvidia one year share price as at 22nd February 2024

AI chips

Nvidia makes powerful computer chips that power popular AI tools like OpenAI’s ChatGPT and Microsoft’s Copilot. High demand for those chips has propelled the company into the exclusive trillion-dollar club.

As of market close on 21st February 2024 the company’s market cap sat at $1.667 trillion, putting it behind Alphabet’s $1.779 trillion market cap. It’s also behind Microsoft and Apple, which hold market caps of $2.988 trillion and $2.819 trillion, respectively.

Nvidia’s stock price has been on an upward trajectory so far this year. Shares have gained by nearly 40% since the beginning of 2024. On top of that, they’ve soared by over 225% in the last 12 months.

Although short-term demand for Nvidia’s AI chips has been strong, major companies such as Microsoft and Meta have indicated interest in buying them from other companies.

If you had invested $1,000 in Nvidia

If you had invested $1,000 in Nvidia five, 10 or 24 years ago, here’s how much your investment would be worth now.

$1,000 in Nvidia five years ago, your investment would have increased by an eye-watering 1,015% and be worth around $17,542 as of 20th February 2024.

If you had invested $1,000 in Nvidia 10 years ago, your investment would have soared by about 22,340% and be worth around $148,226 as of 20th February 2024.

But, if you had invested $1,000 in Nvidia in January 1999, when Nvidia first went public, your investment would have grown by around 277,708% and be worth close to $2,784,065 as of 20th February 2024.

AI has only just started.

Big tech vows action on ‘fake’ AI in elections

Fake AI news

Most of the world’s largest tech companies, including Microsoft, Amazon and Google have agreed to tackle what they are calling deceptive artificial intelligence (AI) in elections

The tech accord

The twenty companies have signed an accord committing them to fighting voter-deceiving content. They say they will deploy technology to detect and counter the material.

The Tech Accord to Combat Deceptive Use of AI in 2024 Elections was announced at the Munich Security Conference on Friday 16th February 2024.

The issue has come into sharp focus because it is estimated up to four billion people will be voting this year in countries such as the U.S., UK and India.

Technology to mitigate risk

Among the accord’s pledges are commitments to develop technology to mitigate risks related to deceptive election content generated by AI, and to provide transparency to the public about the action firms have taken.

Other steps include sharing best practice with one another and educating the public about how to spot when they might be seeing manipulated content.

Signatories include social media platforms X, Snap, Adobe and Meta, the owner of Facebook, Instagram and WhatsApp.

Proactive

However, the accord has some shortcomings, according to computer scientist Dr Deepak Padmanabhan, from Queen’s University Belfast, who has co-authored a report on elections and AI.

But he reportedly said they needed to take more proactive action instead of waiting for content to be posted before then seeking to take it down.

That could mean that realistic AI content, that may be more harmful, may stay on a platform for longer compared to obvious fakes which are easier to detect and remove, he suggested.

Target

The accord’s signatories say they will target content which deceptively fakes or alters the appearance, voice, or actions of key figures in elections.

It will also seek to deal with audio, images or videos which provide false information to voters about when, where, and how they can vote.

We have a responsibility to help ensure these tools don’t become weaponised in elections, Brad Smith, the president of Microsoft is reported to have said.

These measures, in my opinion, are a sticking plaster and will not stop the spread of dishonest and fake news!

Energy hungry data centre power solution

AI data centre

The use of nuclear reactors for data centres is a controversial and complex topic that has both advantages and disadvantages

Nuclear reactors can provide a reliable, stable, and carbon-free source of electricity for power-hungry data centres, which are essential for the operation of various applications, such as artificial intelligence (AI).

Grid overload

Nuclear reactors can also reduce the dependence on the existing grid, which may be vulnerable to blackouts, fluctuations, or cyberattacks. On the other hand, nuclear reactors require a high initial investment, as well as strict safety and regulatory standards. Nuclear reactors also pose potential risks of radiation, waste disposal, and proliferation. Moreover, nuclear reactors may not be suitable for all locations, as they may face public opposition, environmental concerns, or geopolitical issues.

Small Modular Reactor (SMR)

One of the possible solutions to these challenges is to use small modular reactors (SMRs), which are advanced reactors with about a third of the power generation of a traditional, large nuclear plant. SMRs are designed to be more flexible, scalable, and cost-effective than conventional reactors, as they can be built off-site and transported to the desired location. SMRs can also be integrated with renewable energy sources, such as solar or wind, to create a hybrid system that can balance the power demand and supply.

However, the technology of SMRs is still in its early stages of development and deployment, and there are currently no data centres in the world that use built-in nuclear reactors. Therefore, it remains to be seen whether nuclear reactors will become a common or viable option for future data centres. The decision to use nuclear reactors for data centres should be based on a careful evaluation of the benefits and risks, as well as the alternatives and trade-offs, of each specific case.

It has been calculated that a ‘norma’ data centre (whatever that is), needs 32 megawatts of power flowing into the building. For an AI data centre, it’s closer to 80 megawatts.

AI systems are using all this extra electricity simply because they are doing so much more processing than standard computing. They are chewing through far more data.

As AI continues to develop, so too will the power requirement needed to run these monsters.

OpenAI unveils new AI software that lets you create realistic video by typing a descriptive sentence

Video

The new AI tool from OpenAI named Sora, can generate realistic videos from text prompts.

OpenAI has developed a new AI tool named Sora that can generate highly detailed videos of up to 60 seconds from descriptive text prompts.

The tool has raised concerns about its potential misuse, particularly in the creation of deepfakes and disinformation.

On the other hand, it is a remarkable achievement in the current AI arena and created in such a short space of time.

OpenAI has stated that it is working with experts in areas like misinformation, hateful content, and bias, who are testing Sora.

Arm taking its place in the AI race

AI chip stock up

Arm’s strong growth forecast has led investors to declare it an AI darling

Arm shares soared 29% on Monday, extending last week’s rally as investors continue to applaud the chipmaker’s better-than-expected third-quarter earnings and its position in the artificial intelligence boom.

Up 93% since 8th February 2024

Arm is now up 93% since it reported quarterly figures on 8th February 2024. There is no obvious reason for the 29% climb on Monday. The fear of missing out (FOMO) could be playing a part in the meteoric share price move.

The stock has almost tripled since Arm’s initial public offering in September 2023, closing at $148.97 and is now worth almost $153 billion, that’s a little more than $30 billion below Intel’s market cap.

Arm 1 year chart showing huge gain in February 2024

Arm 1 year chart showing huge gain in February 2024

AI demand fuels Arm’s success

Last week, Arm said it could double the price for its latest instruction set, which accounts for 15% of the company’s royalties, suggesting it can expand its margin and make more money off new chips. It also said it was breaking into new markets, such as cloud servers and automotive, due to AI demand.

Its royalty strength combined with Arm’s optimistic growth forecast has made the company the latest AI darling among investors, despite a higher earnings multiple than Nvidia or AMD.

Are AI investing trading bots taking over? It’s a little bit alien to me

Alien investing

AI ‘trading bots’ are software programs that use artificial intelligence (AI) to analyse market data, generate trading signals, and execute trades automatically.

‘I meant Artificial Intelligence Investing not ‘Alien’ Investing (AI)’

AI trading bots are becoming more popular among investors who want to take advantage of the speed, accuracy, and efficiency of AI technology. But is this a good thing for the future of investing?

Pros

AI ‘trading bots’ could transform the world of investing

  • Enabling more accessible and affordable trading for everyone, regardless of their experience, knowledge, or capital.
  • Enhancing the performance and profitability of trading strategies, by optimising entry and exit points, managing risk, and adapting to changing market conditions.
  • Providing more diverse and innovative trading opportunities, by exploring new markets, assets, and strategies that human traders may overlook or ignore.
  • Reducing the emotional and psychological biases that often affect human traders, such as fear, greed, overconfidence, and regret.

Cons

AI ‘trading bots’ also pose some challenges and risks

  • Increasing the complexity and volatility of the markets, by creating feedback loops, amplifying trends, and triggering flash crashes.
  • Exposing traders to technical glitches, security breaches, and malicious attacks, by relying on software and internet connectivity that may malfunction or be compromised.
  • Raising ethical and regulatory issues, by creating potential conflicts of interest, information asymmetry, and market manipulation.

Conclusion

AI ‘trading bots’ are not a mystical ‘get rich quick solution’ that can guarantee success in the world of investing. They are tools that require careful selection, evaluation, and supervision by human input and for the human trader to maintain ultimate control.

We should always be aware of the benefits and limitations of AI technology.

Alien investing
Are AI investing trading bots taking over? ‘I meant Artificial Intelligence Investing not ‘Alien’ Investing (AI)’

AMD enters AI-powered PC race as artificial intelligence demand grows

AI power

U.S. microchip giant Advanced Micro Devices (AMD) is investing in AI PCs to take on the likes of Nvidia and Intel and Arm as the AI race gains momentum.

As the AI market expands so too will AI powered personal computer (PC). These are personal computers embedded with processors specifically designed to perform AI functions such as real-time language translation. Intel has already announced its AI powered chip for the PC.

Tech research firm Canalys in a December report said the boom in generative AI is expected to boost PC sales as consumers are seeking devices with AI features, predicting that 60% of the PCs shipped in 2027 will be AI-capable.

AI tech interest explodes

An explosion of interest in AI was sparked by the launch of ChatGPT in November 2022 as the chatbot went viral for its ability to generate human-like responses to users’ prompts.

Microsoft was quick to adopt the Technolgy and incorporate AI into its Bing search engine. Other companies such as Amazon, Alphabet (Google), Arm, Meta, Tesla and Apple are all heavily involved in AI development too.

Neuralink implants brain tech device in human for the first time

Brain tech implant

Elon Musk’s neurotech startup Neuralink implanted its device in a human for the first time on Sunday 28th January 2024, and the patient is ‘recovering well,‘ the entrepreneur said in a post on X, on Monday 29th January 2024.

The company is developing a brain implant that aims to help patients with severe paralysis control external technologies using only neural signals.

Neuralink began recruiting patients for its first in-human clinical trial in the autumn after it received approval from the U.S. Food and Drug Administration to conduct the study back in May 2023, according to a blog post.

Musk, in an X post on Monday 29th January 2024 said that Neuralink’s first product is called Telepathy.

If the technology functions well, patients with severe degenerative diseases such as motor neurone disease could someday use the implant to communicate or access social media by moving cursors and typing with their minds.

Microsoft hits $3 trillion market cap in intraday trading

Microsoft market cap of $3 trillion

Microsoft’s market cap surpassed $3 trillion in intraday trading Wednesday after the stock climbed more than 1% and hit around $404 per share. The stock lost some ground throughout the day to close at: $402 per share.

The achievement comes nearly two weeks after Microsoft eclipsed Apple as the world’s most valuable public company on 12th January 2024. However, Apple has reclaimed top spot – its market cap closed at around $3.01 trillion on Wednesday 24th January 2024.

Microsoft share price 24th January 2024 – $402.00, 1year chart

Microsoft share price 24th January 2024 – $402.00, 1 year chart

Microsoft shares are up more than 7% year to date as investors remain bullish about the company’s investments in artificial intelligence.

It is strongly expected that Microsoft will deliver good results in the Q2 earnings report, because of its leadership position gained in generative AI.

Microsoft due to announce Q2 figures on 30th January 2024

Microsoft due to announce Q2 figures on 30th January 2024

A new powerful AI is coming but the techies have no clue as to what it will look like

AGI

That’s reassuring then, and they are creating it

Leaders at some of the world’s leading artificial intelligence (AI) companies are expecting a form of AI on a par with, or even exceeding human intelligence to arrive sometime in the near future. But what it will eventually look like and how it will be applied are unknown.

Artificial General Intelligence or AGI is coming soon

Leaders from OpenAI, Microsoft and Google’s DeepMind, and many other major tech companies debated the risks and opportunities presented by AI at the World Economic Forum in Davos, Switzerland in January 2024.

AI has become the talk of ‘town’ around the world through 2023, mainly due to the success of ChatGPT, OpenAI’s popular generative AI chatbot, brought to us by Microsoft. Generative AI tools, like ChatGPT, are powered large language models, algorithms trained on vast quantities of data, but are not AGI.

Executives at some of the world’s leading artificial intelligence companies see ‘artificial general intelligence,’ or AGI, a hypothesized form of AI with intelligence on a par or better than humans. This prospect is both exciting and worrying.

Concern

AI and AGI have created concern among governments, corporations and public consultation groups worldwide, owing to the risks around the lack of transparency of AI systems; social manipulation through computer algorithms; job losses due to increased automation; surveillance; and data privacy and worse… the lack of human control!

Extinction event possible

Many industry leaders in technology have warned that AI could lead to an ‘extinction-level’ event where machines become so powerful they get out of control and wipe out humanity.

A new powerful AI is coming but the techies have no clue as to what it will look like

Several prominent technology leaders, including Elon Musk and Steve Wozniak for example, have called for a pause in AI development, stating that a moratorium would be beneficial in allowing society to catch up.

Turing test

AI chatbots like ChatGPT have passed the Turing test, a test called the ‘imitation game,’ which was developed by British computer scientist Alan Turing to determine whether someone is communicating with a machine and a human. The one big area where AI is lacking is common sense.

It has been reported on many occasions, that the tech world is taking steps to ensure that the AI race doesn’t lead to a ‘Hiroshima moment.

Will AGI be created in the image of humans?

Let’s hope not.

The Magnificent Seven

Magnificent Seven

The Magnificent Seven is a term coined to describe the seven most valuable and popularly owned tech companies in the U.S. stock market.

It was also a 1960’s movie…

The Seven

Apple (AAPL)

The world’s largest software company, known for its iPhone, iPad, Mac, Apple Watch, AirPods, and other devices, as well as its services such as iCloud, Apple Music, Apple TV+, and App Store.

Microsoft (MSFT)

The world’s largest software company, known for its Windows operating system, Azure cloud services, LinkedIn social media platform, Office professional software suite, and Xbox gaming brand.

Alphabet (GOOGL)

The parent company of Google, the world’s leading search engine, as well as other businesses such as YouTube, Google Cloud, Google Maps, Google Ads, and Waymo.

Amazon (AMZN)

The world’s largest online retailer, as well as a leading provider of cloud computing services through Amazon Web Services (AWS), and a major player in digital entertainment through Amazon Prime Video, Amazon Music, and Kindle.

Meta Platforms (META)

The former Facebook, the world’s largest social media network, as well as the owner of other popular platforms such as Instagram, WhatsApp, Messenger, and Oculus.

Nvidia (NVDA)

The world’s leading manufacturer of graphics processing units (GPUs), which are used for gaming, artificial intelligence, cloud computing, and cryptocurrency mining, as well as other products such as Nvidia Shield, GeForce Now, and Omniverse.

Tesla (TSLA)

The world’s most valuable automaker, known for its electric vehicles, battery products, solar panels, and self-driving technology, as well as its visionary founder and CEO, Elon Musk.

Market dominance

These seven companies are not only dominant in their respective fields, but also at the forefront of innovation and growth in the tech sector. They collectively make up some 30% of the S&P 500 index and more than half of the Nasdaq 100 index. 

They have also delivered impressive returns for investors over the past five years, with Nvidia and Tesla leading the pack with more than 800% gains. The Magnificent Seven are often compared to the FAANG stocks, which include four of the seven companies, but exclude Microsoft, Nvidia, and Tesla, and include Netflix instead. 

Magnificent 7 tech stocks

Some analysts suggest that the Magnificent Seven capture the current state and future potential of the tech industry. But is it now time to rotate out of tech into other areas that have been neglected. I wouldn’t be surprised to see the bull market charge on but with other ‘less’ loved companies leading the way.

It has been calculated that the combined market cap value of these seven companies is some $9 trillion.

AI cannot patent UK inventions

Patent

The UK Supreme Court has upheld earlier decisions to reject a bid to allow an artificial intelligence to be named as an inventor in a patent application.

Dr Stephen Thaler (an ‘inventor’), had sought to have his AI, called Dabus, recognised as the inventor of a food container and a flashing light beacon. But in 2019, the Intellectual Property Office (IPO) rejected this, saying only a person could be named as an inventor. The decision was then backed by both the High Court and Court of Appeal. The IPO argued, and courts have supported the view, that only ‘persons’ can have patent rights, not Artificial Intelligence.

Now five Supreme Court judges have dismissed a bid to reverse those decisions, concluding that ‘an inventor must be a person’, and that an AI cannot be named as an inventor to secure patent rights.

The judgement does not deal with the issue of whether Dabus did in fact invent the food container and light.

This issue will likely be debated for some time yet – maybe an AI court of the future could decide?

I asked AI to write a Christmas poem…

Father Christmas

And this is what it came up with… (exactly as it was written)

Christmas is a time of joy
A time to celebrate and enjoy
The birth of our Savior and King
Who came to earth to bring
Peace and love to all mankind
And hope for those who seek and find

Christmas is a time of grace
A time to forgive and embrace
The ones who hurt us or make us sad
And remember the good times we had
With family and friends who are dear
And wish them all a happy new year

Christmas is a time of light
A time to shine and delight
The world with our gifts and talents
And share our blessings and abundance
With those who are in need or alone
And make them feel they have a home

The image was AI generated too.

Merry Christmas and A happy New Year!

Nasdaq hits new all-time intra-day high!

Nasdaq

The Nasdaq Composite index reached a new all-time intra-day of 16,764 points on Monday 18th December 2023. 

This was a remarkable achievement for the index, as it surpassed its previous record of 16,729 points. The Nasdaq Composite index has been on a strong uptrend since March 2020, when it bottomed out at 3,193 points amid the COVID-19 pandemic. 

Nasdaq 100 index chart -18th December 2023

Nasdaq chart

Since then, the index has recovered thanks to the rapid development and adoption of vaccines, economic stimulus measures, digital transformation trends, consumer demand for online services and products and through the arrival of AI.

The Nasdaq is one of the most popular and widely followed indexes in the world, as it tracks the performance of over 3,000 companies listed on the Nasdaq stock exchange.

The Nasdaq is known for its high concentration of technology and innovation stocks, such as Apple, Microsoft, Amazon, Google, Facebook, Tesla, and many others.

Intel unveils new AI chip

AI micro chip

Intel’s new chip will go head-to-head with Nvidia and AMD

Intel unveiled new computer microchips on Thursday 14th December 2023, including Gaudi3, a chip for generative AI software.

Intel also announced Core Ultra chips, designed for Windows laptops and PCs, and new fifth-generation Xeon server chips. Intel’s server and PC processors include specialized AI parts called NPUs that can be used to run AI programs faster.

AI race

AI models, like OpenAI’s ChatGPT, run on Nvidia GPUs in the cloud. It’s one reason Nvidia stock has been up nearly 230% year to date while Intel shares have risen 68%. And it’s why companies like AMD and, now Intel, have announced chips that they hope will attract AI companies away from Nvidia’s dominant position in the market.

Gaudi3 will compete with Nvidia’s H100, the main choice among companies that build huge factories of the chips to power AI applications, and AMD’s forthcoming MI300X, when it starts shipping to customers in 2024.

CEO Gelsinger

‘We’ve been seeing the excitement with generative AI, the star of the show for 2023,’ Intel CEO Pat Gelsinger reportedly said at a launch event in New York where he announced Gaudi3 along other chips focused on AI applications.

Intel upping the anti with its Gaudi AI chip. The AI PC to become the new AI start of 2024 and beyond!

We think the AI PC will be the star of the show for the upcoming year,’ Gelsinger added. And that’s where Intel’s new Core Ultra processors, also announced on Thursday, will come into play.

Let the battle commence.

EU agrees deal on AI regulation

AI rules

European Union officials have reached a provisional deal on the world’s first comprehensive laws to regulate the use of artificial intelligence (AI).

The EU agreed guidelines around AI in systems like ChatGPT and facial recognition.

The European Parliament will vote on the AI Act proposals early next year, but any legislation will not take effect until 2025 at the earliest. The U.S., UK and China are all rushing to publish their own guidelines.

Safeguards

The proposals include safeguards on the use of AI within the EU as well as limitations on its adoption into law.

European Commission President Ursula von der Leyen said the AI Act would help the development of technology that does not threaten people’s safety and rights. Consumers would have the right to launch complaints and fines could be imposed for violations.

Unique framework

In a social media post, she said it was a ‘unique legal framework for the development of AI you can trust’.

The European Parliament defines AI as software that can ‘for a given set of human-defined objectives, generate outputs such as content, predictions, recommendations or decisions influencing the environments they interact with.’

This is a significant step towards ensuring that AI development and deployment are aligned with ethical standards and respect for human rights.

Will the EU, UK, U.S., China and other countries AI rules conflict?

Meta and Microsoft say they will buy AMD’s new AI chip – Wall Street loves Artificial Intelligence

AI microchips

Meta, OpenAI, and Microsoft said they will use AMD’s newest AI chip, the Instinct MI300X.

An indication that tech companies want alternatives to the expensive Nvidia graphics processors that have been essential for artificial intelligence (AI).

If the MI300X is good enough and inexpensive enough when it starts shipping early next year, it will likely lower costs for developing AI models.

AMD CEO Lisa Su projected the market for AI chips will amount to $400 billion or more in 2027, and she said she hopes AMD has a sizable part of that market.

Wall Street rallies on AMD and Google AI news

Wall Street resumed its rally after a short break as technology giants intensified their AI race, pushing up tech stocks.

When you witness Google launching a new AI model (Gemini) and AMD chasing a slice of the hot AI chip market, you know a pre-Christmas cheer will wash over investors.

To think, just a handful of years ago, other than in Science Fiction novels, the term ‘artificial intelligence’ didn’t exist in our vocabulary and now it is becoming more and more integrated with our day-to-day lives.

Stock markets love it. AI is fast becoming a business necessity and not just an option.

AI chip image
Wall Streets love affair with AI – how long will it last?

Google releases Gemini, its latest AI venture

Chatbot

Pressure mounts on the Google to demonstrate how it plans monetize AI.

Google has launched its largest and most capable (by its own admission) artificial intelligence (AI) model on Wednesday 6th December 2023 pressure mounts on the company to answer how it’ll monetize AI.

Gemini

The large language model Gemini will include a suite of three different sizes: Gemini Ultra, its largest, most capable category; Gemini Pro, which scales across a wide range of tasks; and Gemini Nano, which it will use for specific tasks and mobile devices.

Cloud

Google is reportedly planning to licence Gemini to clients through Google Cloud to use in their own applications. Developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI.

Android

Android developers will also be able to build with Gemini Nano. Gemini will also be used to power Google products like its Bard Chatbot and Search Generative Experience, which tries to answer search queries with conversational-style text.

Ultra

Gemini Ultra is reportedly the first model to outperform human experts on MMLU (massive multitask language understanding), which uses a combination of 57 subjects such as math, physics, history, law, medicine and ethics for testing both world knowledge and problem-solving abilities, the company said in a blog post Wednesday 6th December 2023. 

It can supposedly understand nuance and reasoning in complex subjects.

Advanced

The company gave examples demonstrating Gemini being able to take a screenshot of a chart and analyse hundreds of pages from research and then updating the chart.

Another example was analyzing a photo of a person’s math homework and identifying correct answers and pointing out incorrect ones.

The future is artificial.

Definition of the word Gemini: Constellation, Astrological Sign or Twins in Latin.

X.AI to raise $1 billion

Chatbot illustration

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.

Is there a water crisis looming and could BIG Tech make things worse?

Thirsty data centre

Water is a precious Earth resource. It is becoming increasingly scarce due to climate change, population growth, pollution and waste. Without water we are nothing.

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.

BIG Tech aware of environmental impact

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. 

Is there a water crisis looming and could BIG Tech make things worse?

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.

Too much

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.

Chatbots and AI share a thirst for water

Amazon announces new AI chip

Amazon AI chip

Amazon Web Services (AWS) announced Trainium2, a chip for training artificial intelligence (AI) models, and it will also offer access to Nvidia’s next-generation H200 Tensor Core graphics processing units.

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

AWS will host a special computing cluster for customers and Nvidia to use. AWS customers can start testing new general-purpose Graviton4 chips.

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. 

Some tech executives think AI is giving Big Tech ‘inordinate’ power!

The power of AI

Too much power for too few

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.

OpenAI’s ChatGPT

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.

Meredith Whittaker reportedly said of large tech companies and the current deployment of AI…

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.

Tim Berners-Lee

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.

Nvidia’s AI chip boom continues, latest figures show

Nvidia AI chip

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’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.

Nvidia stock closes at all-time high

AI chip image

Nvidia stock closes at all-time high, a day before earnings

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?

Fired OpenAI co-founder Sam Altman to lead Microsoft’s new AI team

AI robot and human

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?

Nvidia unveils its newest GH200 high-end AI superchip

Art impression of AI chip

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 GH200 superchip for AI
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.

Full details available on the Nvidia website.