Artificial Intelligence Archives - Page 8 of 9

March 19, 2024September 12, 2025

Nvidia plan to enhance AI induced success

Nvidia have announced a new generation of artificial intelligence chips and software for running AI models. It’s called: The Blackwell B200 GPU

Blackwell B200 GPU

The Blackwell B200 is the successor to Nvidia’s Hopper H100 and H200 GPUs.

It represents a massive generational leap in computational power.

AI Performance: The B200 GPU delivers 4 times the AI training performance and 30 times the inference performance compared to its predecessor.

Transistor Count: It packs an impressive 208 billion transistors, more than doubling the transistor count of the existing H100.

Memory: The B200 features 192GB of HBM3e memory with an impressive bandwidth of 8 TB/s.

Architecture: The Blackwell architecture takes over from H100/H200.

*Dual-Die Configuration: The B200 is not a single GPU in the traditional sense. Instead, it consists of two tightly coupled die, functioning as one unified CUDA GPU. These chips are linked via a 10 TB/s NV-HBI connection to ensure coherent operation.

*Dual-die packaging technology is used to pack two integrated circuit chips in one single package module. It doubles functionality levels.

Process Node: The B200 utilizes TSMC’s 4NP process node, a refined version of the 4N process used by Hopper H100 and Ada Lovelace architecture GPUs.

The Blackwell B200 is designed for data centres and AI workloads but will likely be available to expect consumer in the future, although these may differ significantly from the data centre model.

Grace Blackwell GB200 Superchip:

**Nvidia’s GB200 Grace Blackwell Superchip, with two B200 graphics processors and one Arm-based central processor**

This superchip pairs the Grace CPU architecture with the updated Blackwell GPU.

It’s another addition to Nvidia’s lineup, combining CPU and GPU power for advanced computing tasks.

Nvidia continues to push the boundaries of accelerated computing, and these new GPUs promise remarkable performance improvements for AI and other workloads.

Onwards and upwards for Nvidia and the advancement of AI.

March 18, 2024September 12, 2025

Apple and Alphabet reportedly in Gemini AI talks

Apple playing AI catchup

Apple is reportedly engaged in negotiations to acquire a licence for Google’s Gemini, a generative AI platform, with the intention of integrating it into iPhones. These ongoing discussions may result in Gemini enhancing iPhone software with new features later this year.

The terms, branding, and implementation details have not been finalised. This potential partnership could significantly impact the AI capabilities of future iPhones.

March 14, 2024September 12, 2025

EU passes world’s first major ‘act’ to regulate AI

The European Union (EU) has made history by approving the world’s first comprehensive regulatory framework for artificial intelligence (AI).

Artificial Intelligence Act

Known as the Artificial Intelligence Act, this groundbreaking legislation is expected to serve as a global signpost for other governments grappling with how to regulate this fast-developing technology.

The AI Act takes a risk-based approach, categorizing AI applications based on their risk levels. It prohibits certain high-risk uses, emphasizes transparency, and aims to keep AI development human centric. This landmark regulation should help set a precedent for responsible AI deployment worldwide.

The regulation is expected to become enforceable in May 2024, after passing final checks and receiving endorsement from the European Council.

March 1, 2024September 12, 2025

Is AI driving a market bubble or is there so much more yet to come?

As tech giant Nvidia soars on hype around artificial intelligence (AI), and as global stock indexes claim record highs, debate has grown about whether the stock market has entered a ‘bubble.’

An AI bubble of boom

We are reminded of the dotcom bubble where investment was rife in anything tech – so, are we now potentially facing a new tech bubble – an AI bubble of boom?

That’s generally seen as a period in which asset prices inflate rapidly, potentially beyond their core value; and risk crashing just as fast.

Other AI stocks are chasing the dream too adding to the hype. However, some are in the slow lane playing catch-up and this may suggest there is much, much more to come.

The likes of AMD, Intel, Amazon, OpenAI, Arm and a myriad of other tech companies big and small have much more AI to bring to the tech table.

Let’s use Nvidia as an example of a potential stock bubble

If we look at the valuation of Nvidia, justifiably it is actually very high, too high even – that’s the first sign of a potential problem, valuation. The second issue is investor positioning – whenever you have a market bubble, investors are very clustered or very concentrated, either in one market or in one sector as a whole.

Nvidia one year chart as of 29th February 2024. Price 791

Sectors

It doesn’t matter which markets you look at – the U.S., Europe or Asia markets – the problem is the same. We now have an historic valuation between the tech sector, the AI sub-sector of the tech sector, and the rest of the market.

Investors are very clustered in this tech sector. However, some leading commentators say of tech that this is not hype – this is real. It most probably is, for now, and with much more to come from the smaller tech and AI companies that have yet to show their true AI value. But all bubbles burst in the end.

Pop!

There is certainly plenty of room for AI to grow – it’s in its infancy – but the question is: ‘how and when will the bubble burst? Because, in my humble opinion, it most certainly will.

We may not see a dramatic market crash like 1999-2000 or 2007/2008, but an investor rotation out of areas of concentration into the broader market will likely happen.

If you look at the bubbles of 1999-2000, and then in 2007/2008, one key characteristic was investor leverage. And we had, whether it was retail investors or institutional investors, a very high level of leverage, and that was either through borrowings or it was through derivatives.

The AI tech boom has legs but there will almost inevitably be a rotation from AI to other sectors – that will then adjust the overvalued AI sector. And it could pullback quite hard.

Be ready!

February 23, 2024September 12, 2025

Google halts Gemini AI image generator after it created inaccurate historical content

Google on Thursday 22nd February 2024 said it is pausing its Gemini artificial intelligence (AI) image generation feature after saying it offers ‘inaccuracies’ in historical pictures

Users had been reporting that the AI tool generated images of historical figures, like the U.S. Founding Fathers as people of colour, calling this inaccurate.

Google posted a statement on Thursday 22nd February 2024, saying that it will pause Gemini’s feature to generate images of people and will re-release an ‘improved’ version soon.

Is Google struggling to keep up with the AI race?

The image generator tool was launched at the start of February 2024 through Gemini, which was orignally called Bard.

It is facing challenges at a time when Google is trying to catch up with Microsoft-backed OpenAI project, Copilot.

February 23, 2024September 12, 2025

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

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

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.

February 19, 2024September 12, 2025

Energy hungry data centre power solution

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.

February 16, 2024September 12, 2025

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

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.

February 6, 2024September 12, 2025

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

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.

February 2, 2024September 12, 2025

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

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.

January 23, 2024September 12, 2025

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

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.

December 27, 2023September 12, 2025

AI cannot patent UK inventions

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?

December 22, 2023September 12, 2025

I asked AI to write a Christmas poem…

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!

December 15, 2023September 12, 2025

Intel unveils new AI 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.

December 12, 2023September 12, 2025

EU agrees deal on AI regulation

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?

December 8, 2023September 12, 2025

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

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?

December 7, 2023September 12, 2025

Google releases Gemini, its latest AI venture

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.

December 6, 2023September 12, 2025

X.AI to raise $1 billion

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.

December 6, 2023September 12, 2025

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

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

November 29, 2023September 12, 2025

Amazon announces new 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.

November 23, 2023September 12, 2025

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

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.

November 22, 2023September 12, 2025

Nvidia’s AI chip boom continues, latest figures show

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.

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.

November 21, 2023September 12, 2025

Nvidia stock closes at all-time high

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?

November 20, 2023September 12, 2025

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

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?

November 8, 2023September 12, 2025

Microsoft closes at all-time high

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.

November 7, 2023September 12, 2025

IBM pivots to AI – STOCK WATCH

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.

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.