A U.S. judge has ruled that Google illegally maintained a monopoly in online searches and related advertising. The lawsuit, brought by the Department of Justice, charged Google with controlling around 90% of the online search market.
It was reportedly noted by the judge that Google’s billions of dollars in investments to become the default search engine on smartphones and browsers could be anticompetitive.
The decision, issued on Monday 5th August 2024, could potentially change how tech giants operate.
It was reported that in his extensive 277-page decision, Judge Mehta remarked, “Google has acted as a monopolist and engaged in anticompetitive practices to maintain its monopoly.”
This represents a significant victory for federal antitrust enforcers who have pursued similar cases against other leading technology companies for illegal monopolistic behaviours.
Companies like Meta Platforms, which operate Facebook and WhatsApp, as well as companies like Amazon and Apple., have also faced lawsuits from federal regulators.
The judgment comes after a 10-week trial where it was argued that Google’s substantial payments to remain the primary search engine have impeded the competition’s ability to challenge effectively.
This is a seismic shift in the way search engines and advertising may operate in the future. Already with the advent of AI, search engines look and feel different.
As OpenAI’s exclusive cloud provider, Microsoft leverages OpenAI’s AI models for products aimed at commercial clients and consumers. Microsoft, OpenAI’s largest investor, has reportedly invested some $13 billion in the firm.
Microsoft’s filing lists OpenAI, the entity behind the ChatGPT chatbot, as a competitor in AI solutions, as well as in the realms of search and news advertising. OpenAI recently unveiled a search engine prototype named SearchGPT.
However, recent developments suggest a shift, with both companies encroaching on each other’s domains.
While some opt to directly pay OpenAI for model access, others utilise Microsoft’s Azure OpenAI Service. Additionally, Microsoft offers the Copilot chatbot as an alternative to ChatGPT, accessible via the Bing search engine and Windows operating systems.
OpenAI on Thursday 25th July 2024 announced a prototype of its search engine, called SearchGPT, which aims to give users “fast and timely answers with clear and relevant sources.”
The company has announced plans to eventually incorporate the tool, presently in testing with a select user group, into its ChatGPT chatbot.
The introduction of ChatGPT could have significant implications for Google’s search engine dominance. Since ChatGPT’s debut in November 2022, there has been growing concern among Alphabet’s investors that OpenAI may capture a portion of Google’s market share by offering consumers innovative methods to obtain information on the internet.
Alphabet three month share price as of 25th July 2024
Alphabet three month share price as of 25th July 2024
OpenAI’s ChatGPT was incorporated into Microsoft’s search engine Bing as Copilot and the companies have kept market dominance with this shrewd AI move. Google, on the other hand, has struggled to keep up in the AI race and may now be suffering the effects.
This announcement could have implications for Microsoft’s Copilot as well.
Anthropic, a rival to OpenAI, unveiled Claude 3.5 Sonnet on Thursday, touting it as their most advanced AI model to date.
Claude has joined the ranks of widely used chatbots such as OpenAI’s ChatGPT and Google’s Gemini. Founded by former OpenAI research leaders, Anthropic has secured backing from major tech entities like Google, Salesforce, and Amazon. Over the past year, the company has completed numerous funding rounds, reportedly amassing approximately $7.3 billion.
The announcement comes after Anthropic introduced its Claude 3 series of models in March, followed by OpenAI’s GPT-4o in May 2024. Anthropic has stated that Claude 3.5 Sonnet, the initial model from the new Claude 3.5 series, surpasses the speed of its predecessor, Claude 3 Opus.
“It shows marked improvement in grasping nuance, humour, and complex instructions, and is exceptional at writing high-quality content with a natural, relatable tone,” the company said in a blog post.
It can also write, edit and execute code in a real time workspace open for the user to engage.
Nvidia, traditionally recognised within the gaming community for its graphics chips, has become the world’s most valuable publicly traded company.
On Tuesday 18th June 2024, Nvidia’s shares rose by 3.6%, increasing its market cap to $3.34 trillion and overtaking Microsoft, now valued at $3.32 trillion. Earlier in the month, Nvidia’s valuation reached $3 trillion for the first time, surpassing Apple.
Nvidia $3.34 trillion market cap
Nvidia $3.34 trillion market cap
So far this year, Nvidia’s shares have surged over 170% and saw further gains after announcing first-quarter earnings in May 2024. Since the close of 2022, the stock has increased more than ninefold, paralleling the rise of generative artificial intelligence.
Apple’s shares dropped by 1.1% on Tuesday, resulting in a market value of $3.29 trillion for the tech giant.
Nvidia commands roughly 80% of the market share for AI chips in data centres, a sector that has expanded rapidly as companies like OpenAI, Microsoft, Alphabet, Amazon, and Meta have competed to acquire the necessary processors for constructing AI models and managing growing workloads.
In the latest quarter, Nvidia’s data centre business saw a 427% increase in revenue from the previous year, reaching $22.6 billion and comprising approximately 86% of the company’s total sales.
Established in 1991, Nvidia initially focused on hardware, selling gaming chips for running 3D games. The company has also ventured into cryptocurrency mining chips and cloud gaming services.
However, in the last two years, Nvidia’s stock has soared as investors recognised its pivotal role in the AI boom, a trend that continues to accelerate. This surge has increased the net worth of co-founder and CEO Jensen Huang to an estimated $117 billion, ranking him as the 11th richest individual globally, according to Forbes.
But is the rise too fast and is it time for a share price valuation adjustment in its meteoric rise, to bring it back down to Earth?
Apple has entered the artificial intelligence race with the announcement of its version of AI – Apple Intelligence on Monday 10th June 2024, in its attempt to catch up in the AI race.
Reportedly to use it on your phone, you’ll need at least the high-end iPhone 15 Pro from this year’s lineup.
According to Apple’s website, Apple Intelligence will also be compatible with devices equipped with the M1 chip, including the iPad Air, iPad Pro, and Macs.
Apple Intelligence, set to launch in beta this autumn, will offer a variety of features. It will be able to proofread and rewrite your text in different tones, create personalized emojis known as ‘Genmoji,‘ and search for specific messages on your iPhone.
Additionally, it will summarize and transcribe phone calls, manage priority notifications, and integrate OpenAI’s ChatGPT for enhanced Siri responses.
Nothing new here then, just AI features already available elsewhere. Hopefully it will have a decent Apple AI make-over when it finally and fully arrives across all Apple products and platforms.
Apple isn’t leading in AI… yet – it’s just following for now!
While Nvidia continues to dominate the AI chip market headlines, Infineon, a German semiconductor company, is also making waves.
Infineon is capitalizing on the AI surge, aiming to generate billions in revenue through the sale of premium chips.
As AI applications proliferate, encompassing data centre servers and integrated chipsets for PCs and mobile devices, the demand for AI chips is skyrocketing. This trend has only one direction, and that is up.
Infineon is certainly one to watch – it may just become the next major player in the industry.
Intel announced its new Xeon 6 processors at the Computex tech conference in Taiwan on Tuesday 4th June 2024.
This announcement coincides with the recent launches of new artificial intelligence chips by rivals Nvidia and AMD on Sunday and Monday 2nd and 3rd June 2024 – as they compete for dominance in the rapidly growing industry.
Intel is making efforts to catch up with Nvidia and AMD, having been relatively absent from the AI surge that led tech giants such as Meta, Microsoft, and Google to purchase a significant number of Nvidia chips.
This comes half a year after Intel’s release of its 5th Gen Intel Xeon processors for data centre workloads and a couple of months following the announcement of the Gaudi 3 processor for AI model training and deployment.
Intel also disclosed that the Gaudi 2 and Gaudi 3 AI accelerators are priced lower than those of its competitors.
Furthermore, Intel shared architectural details of its forthcoming Lunar Lake processors, aimed at expanding the AI PC category. These processors, slated for release in the third quarter, are set to rival Nvidia’s and AMD’s offerings tailored for AI PCs.
While Nvidia and AMD focus on chip design, Intel stands out by both designing and manufacturing its chips. Nevertheless, Intel’s foundry business has faced challenges, with its operating loss widening to $7 billion in 2023 compared to the previous year.
ThousandEyes, Cisco’s internet monitoring division, has introduced a new suite of AI-driven features known as Digital Experience Assurance, or DXA, on Tuesday 4th June 2024.
The firm asserts that this new AI technology will allow customers to not only monitor but also automatically address issues affecting network quality.
Describing itself as the ‘Google Maps’ of the internet, Cisco ThousandEyes offers a comprehensive, end-to-end perspective of every user and application across all networks.
Established 15 years prior, the company has been heavily investing in AI technology in recent years.
ThousandEyes is now implementing significant AI-centric modifications to its platform, which are designed to enhance its clients’ oversight of network quality and robustness.
Bitcoin miners have been diversifying operations into artificial intelligence (AI) due to several key factors.
Since Bitcoin halving, miners have been searching for more lucrative income streams as AI and crypto industries collide.
Revenue shift
The revenue from crypto mining, especially Bitcoin, has significantly decreased in recent months. After the ‘Bitcoin halving’ event in April 2024, rewards earned by Bitcoin miners were cut by 50%. As a result, miners have been seeking alternative revenue streams.
AI boom
Following the unveiling of ChatGPT by OpenAI in November 2022, there has been a significant increase in the demand for AI computation and infrastructure. This surge has led to a flurry of investments in AI models and startups, presenting miners with new opportunities to transition into the AI sector.
Energy access
Bitcoin miners are progressively turning to ‘stranded energy site’s – these are locations with surplus or untapped energy for mining operations. At the same time, they are channelling investments into AI at more stable sites. This strategic move enables them to leverage the potentially higher returns from AI.
Core Scientific
Core Scientific, a Bitcoin mining company, has recently entered into a 12-year agreement with cloud provider CoreWeave to supply infrastructure for AI applications. This partnership is anticipated to generate in excess of $3.5 billion in revenue over the duration of the contract. CoreWeave, supported by Nvidia, offers rental of graphics processing units (GPUs) essential for AI model training.
In conclusion, Bitcoin miners are increasingly adopting AI to adjust to the evolving market dynamics and to uncover new revenue streams beyond conventional mining. The merging of AI and the cryptocurrency industry offers promising prospects for both fields.
Microsoft is promoting new computers equipped with advanced chips, engineered to operate the new artificial intelligence (AI) capabilities embedded in the Windows operating system.
On Monday 20th May 2024, Microsoft unveiled a Surface Laptop and a Surface Pro tablet, both featuring a Qualcomm chip capable of executing AI tasks both online and offline.
The new Microsoft Copilot+ PCs feature chips designed by ARM and are powered by Qualcomm’s Snapdragon X Elite and X Plus chips, which are also based on ARM architecture. These Snapdragon-powered PCs represent the initial series of devices under the Copilot+ PC brand, introducing over 20 models from various manufacturers, such as Acer.
The partnership between Microsoft, Qualcomm, and PC manufacturers is focused on providing superior processing and quick response times, with these ARM-based chips being integral to the new AI designs.
In addition, manufacturers like Lenovo, Dell, HP, Asus, Acer, and Samsung are launching AI-ready PCs featuring Qualcomm’s Snapdragon X Elite and X Plus processors. These processors offer extended battery life and compatibility with Microsoft’s Copilot AI chatbot.
Microsoft’s powerful AI vision – some tech information
Windows PCs designed for AI, known as Copilot+ PCs, are fitted with new, powerful chips capable of an astounding 40+ TOPS, ensuring all-day battery life and access to cutting-edge AI models.
Promoted as the fastest and most intelligent Windows PCs ever created, they boast features like Recall, Cocreator, and Live Captions, which can translate audio from over 40 languages into English.
These devices include sleek, lightweight, and elegantly designed models from Microsoft Surface and OEM partners such as Acer, ASUS, Dell, HP, Lenovo, and Samsung. Pre-orders are now open, with availability starting on June 18 and prices reportedly beginning at $999. This represents a major shift in the Windows platform, placing AI at the forefront of PC architecture.
This progress is a big part of Microsoft’s wider initiative to drive AI innovation onto devices, enhancing the AI capabilities that are already present in the cloud through Copilot.
This is a massive development in the deployment of AI to the masses.
Google is advancing the frontiers of artificial intelligence (AI) with its new release, Gemini 1.5 Flash, which is set to transform our online information interactions.
Unveiled at Google I/O 2024, this latest model enhances sophisticated features with rapid performance and efficiency. The new AI Chatbot was unveiled on 15th May 2024.
The Gemini 1.5 Flash is engineered for exceptional speed, processing queries with reduced latency, which makes it perfectly suited for real-time applications.
Context Understanding
Similar to its forerunner, Gemini 1.5 Pro, Flash is adept at contextual understanding. It is capable of interpreting user prompts through multiple modalities such as text, images, video, and speech.
Smaller Scaled Version
Google also introduced a scaled-down version called Gemini 1.5 Nano, which runs locally on devices.
AI quick answers
A prominent feature of Gemini 1.5 Flash is the AI Overviews integration. These ‘precis’ summaries deliver rapid responses to intricate inquiries. Users are presented with a topical overview and pertinent links for additional research. The AI Overviews feature is currently being introduced to U.S. users, with worldwide availability anticipated by the end of the year.
Future of Google search
Gemini 1.5 Flash is Google’s latest endeavour to improve search experiences. Whether it’s for research, planning, or brainstorming, this AI model simplifies the process. With the advent of generative AI, Google Search is becoming increasingly potent, enabling users to effortlessly access reliable information.
OpenAI has just unveiled its latest flagship model, GPT-4o. This remarkable model can reason across audio, vision, and text in real time.
Multimodal interaction
GPT-4o accepts any combination of text, audio, and image as input and generates corresponding outputs in any of these modalities. It’s a step toward more natural human-computer interaction.
Fast response time
GPT-4o can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds – similar to human conversation speed.
Improved language understanding
It matches GPT-4 Turbo performance on English text and code, with significant improvements in non-English languages. Plus, it’s 50% cheaper in the API.
Vision and audio understanding
GPT-4o excels in understanding images and audio compared to existing models.
Training
Unlike previous Voice Mode (which used separate models), GPT-4o is trained end-to-end across text, vision, and audio. This means it processes all inputs and outputs using the same neural network.
Exploring capabilities
OpenAI is still exploring what GPT-4o can do and its limitations. It’s a promising step toward more versatile AI interactions.
NVIDIA Corporation (NVDA) has experienced remarkable growth over the past decade.
Historical stock price trends
As of 10th May 2024, NVIDIA’s closing stock price stood at: $898.78
As of 10th May 2024, NVIDIA’s closing stock price stood at: $898.78
NVIDIA’s stock reached an all-time high of $950.02 on 25th March 2024. The 52-week high stands at $974.00, which is 9.7% higher than the current share price. Conversely, the 52-week low was $280.46, which is considerably below the current price.
Annual percentage changes
In 2024, the average stock price reached $763.29, marking a year-to-date rise of 79.30%.
In 2023, NVIDIA’s stock price experienced a remarkable surge of 239.02%.
Conversely, in 2022, the stock price witnessed a decline of 50.27%.
Throughout the past decade, the stock has undergone considerable volatility, exhibiting both notable gains and significant losses.
Focus
NVIDIA began as a pioneer in PC graphics and has since expanded its focus to artificial intelligence (AI) solutions. Its GPUs (graphics processing units) are pivotal in AI, high-performance computing (HPC), gaming, and virtual reality (VR) platforms.
The company’s parallel processing capabilities, powered by thousands of computing cores, are vital for executing deep learning algorithms. Additionally, NVIDIA is active in emerging markets such as robotics and autonomous vehicles.
Market position
NVIDIA holds a dominant position in the Data Centre, professional visualization, and gaming markets. Its success is bolstered by strategic partnerships with leading cloud service providers and server vendors.
Financial performance
NVIDIA’s revenue and profit have seen substantial growth over time. Its emphasis on AI and new technologies suggests a strong potential for further expansion. In summary, despite NVIDIA’s stock achieving impressive gains, it is still influenced by market trends and technological changes.
Its peak status hinges on multiple elements such as industry movements, competitive landscape, and upcoming innovations. Investors are advised to meticulously assess these factors when determining the stock’s future prospects.
Considering a long-term investment yet expecting a downturn, it might be prudent to realise some profits now, given the enormous 20,000% surge in stock value.
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.‘
U.S. news organisation the New York Times is suing ChatGPT-owner OpenAI over claims its copyright was infringed to train the system.
The New York Times has filed a lawsuit against OpenAI and Microsoft for using its news stories to train chatbots without permission or compensation. The lawsuit claims that the defendants have infringed on the paper’s intellectual property rights and seek to ‘free-ride’ on its investment in journalism.
The lawsuit also alleges that the chatbots pose a threat to the jobs of journalists and the quality of news reporting. The New York Times is seeking damages and an injunction to stop the defendants from using its content. The lawsuit, which also names Microsoft as a defendant, says the firms should be held responsible for ‘billions of dollars’ in damages.
Permission
ChatGPT and other large language models (LLMs) ‘learn’ by analysing a massive amount of data often sourced online. The lawsuit claims ‘millions’ of articles published by the New York Times were used without its permission to make ChatGPT smarter, and claims the tool is now competing with the newspaper as a trustworthy information source.
It alleges that when asked about current events, ChatGPT will sometimes generate excerpts ‘verbatim’ from New York Times articles, which cannot be accessed without paying for a subscription.
Subscription
According to the lawsuit, this means readers can get New York Times content without paying for it – meaning it is losing out on subscription revenue as well as advertising clicks from people visiting the website.
It also gave the example of the Bing search engine – which has some features powered by ChatGPT – producing results taken from a New York Times-owned website, without linking to the article or including referral links it uses to generate income.
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.
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.
Stockmarkets love it. AI is fast becoming a business necessity and not just an option.
Wall Streets love affair with AI – how long will it last?
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.
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?
ChatGPT, OpenAI’s chatbot is back online after experiencing a brief but major outage Wednesday am, 8th November 2023.
The chatbot began returning errors before 9 a.m. ET, affecting OpenAI’s API users, which are used by more than two million developers. ChatGPT users were also told that ‘ChatGPT is at capacity right now’ and a status page referred to the issue as a ‘major outage’.
‘We’ve identified an issue resulting in high error rates across the API and ChatGPT, and we are working on remediation’, OpenAI shared in a status report at 9:50 a.m. ET.
Full services were restored by about 10:50 a.m. ET.
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.
Fictitious AI robot learning from a digital human online
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.
An old well established and trusted tech brand pivoting to AI that has a high dividend yield is IBM, which has been around for more than a century and is known for both its hardware and software products.
IBM is investing heavily in AI, cloud computing, and quantum computing, and has recently acquired several AI start-ups, such as Instana, Turbonomic, and Waeg.
IBM also has a partnership with OpenAI, one of the leading AI research organizations, to provide cloud infrastructure for its AI models.
Investors who love IBM expect the company to grow its earnings by around 10% annually over the next five years. Investors were also impressed with IBM’s dividend yield, which is currently around 4.5%. Dividends are a great way to generate passive income.
IBM is not the only tech company that is pivoting to AI. Google, Microsoft, and Anthropic are competing in the field of generative AI, which can create text, images, music, and more from natural language prompts.
Integrate generative AI
These companies are attempting to integrate generative AI into their products and services, such as search engines, maps, word processors, office applications, chatbots, and more. Generative AI is seen as a game-changer for many industries and applications, and could potentially disrupt the dominance of Big Tech.
Legacy companies can pivot to a platform model, which is a business strategy that connects producers and consumers of value through a digital interface. Platform companies like Facebook, Amazon, Google, and Tencent have created value at stunning rates, and have grown rapidly and own large market shares.
IBM mainframe from the 1970’s
Legacy companies can leverage their existing systems, such as customer relationships, data, and brand recognition, to create platforms that offer impressive and immersive products and services.
Other successful platform pivots are Disney+, which transformed Disney from a media producer to a media platform; Nike+, which connected Nike’s physical products with digital services; and John Deere, which created a platform for precision agriculture.
As OpenAI ChatGPT continue to take the AI world by storm, others play catch-up.
Aleph Alpha, which has built its own large language models, raised $500 million backed by Bosch, SAP and Hewlett Packard Enterprise.
It is reported that Aleph Alpha will use the new funds to invest in research on foundation models, advanced product capabilities and marketing of its software.
A big part of what Aleph Alpha is pushing for with its technology is a concept known as ‘data sovereignty’ the concept that data stored in a certain country is subject to that country’s laws.
The fund-raising round was backed predominantly by German firms, with enterprise IT giant SAP and Schwarz Group, (the owner of Lidl). Park Artificial Intelligence and Burda Principal Investments also invested.
If you were wondering…
Aleph is the first letter of the Hebrew alphabet and Alpha is the first letter of the Greek alphabet.
Apple and generative AI technology is a topic that has been generating a lot of interest and speculation lately.
According to various reports, Apple is working on developing its own large language model and chatbot, which could potentially enhance its products and services with new features and capabilities. However, some analysts and experts have also raised questions about whether Apple has missed an opportunity to be a leader in the generative AI field, as it seems to be lagging behind its competitors such as Google, Microsoft, and OpenAI.
Apple uses AI in its products but hasn’t launched a generative AI product along the lines of OpenAI’s ChatGPT or Google Bard. Instead, Apple’s AI is used for improving photos and autocorrecting text.
$1 billion per year plan
Apple is on track to spend $1 billion per year on developing its generative artificial intelligence products, Bloomberg reported.
Apple is looking to use AI to improve Siri, Messages and Apple Music.
The spending comes as the company plays catch-up to some competitors who have already debuted new AI products and features, such as Google, Microsoft and Amazon.
Apple was caught flat-footed when ChatGPT and other AI tools took the technology industry by storm.
Generative AI
Generative AI is a subfield of artificial intelligence that focuses on creating content such as text, images, videos, music, and more, based on data and algorithms. One of the most popular examples of generative AI is ChatGPT, a chatbot that can respond to questions and other prompts in a natural and human-like way.
Watercolour artwork impression – ChatGPT was released by OpenAI in 2022, and since then, it has been widely used and improved by various companies and researchers.
ChatGPT was released by OpenAI in 2022, and since then, it has been widely used and improved by various companies and researchers.
Apple slow response
Apple, on the other hand, has been relatively quiet about its generative AI efforts, until recently. In October 2023, Bloomberg reported that Apple was internally testing a ‘ChatGPT-like’ chatbot nicknamed ‘Apple GPT’, but it had not devised a clear strategy for releasing generative AI tools to the public. Apple’s CEO Tim Cook also confirmed that the company was working on generative AI for years, but it was approaching it ‘really thoughtfully and think about it deeply’ because of the potential risks and challenges.
Potential challenges Apple faces in developing and deploying generative AI
Privacy
Apple has always been more cautious than its competitors in handling user data, and it has built its reputation on being a privacy-focused company. However, generative AI requires a lot of data to train and improve its models, which could pose a dilemma for Apple. How can it balance the need for data with the respect for user privacy? How can it ensure that its generative AI does not leak or misuse personal information?
Design
Apple is known for its elegant and intuitive design philosophy, which applies to both its hardware and software products. However, generative AI is a complex and unpredictable technology, which could challenge Apple’s design principles. How can it make its generative AI features easy to use and understand for its customers? How can it avoid confusing or misleading users with its generative AI outputs?
Ethics
Apple has always been mindful of the social and ethical implications of its products, and it has often taken a stance on issues such as human rights, environmental sustainability, and diversity. However, generative AI could raise new ethical concerns, such as bias, misinformation and manipulation. But then that is a common problem for all generative AI systems.
Generative AI could raise new ethical concerns, such as bias, misinformation and manipulation.
These are some of the questions that Apple needs to answer before it can launch its generative AI products to the public. It is possible that Apple is taking its time to address these issues carefully and thoroughly, as it has done in the past with other technologies such as Face ID or Apple Pay. However, it is also possible that Apple has missed an opportunity to be a pioneer in the generative AI field, as it has done in the past with other technologies such as smart speakers or cloud computing.
While Apple is working on its generative AI projects internally, its competitors are already offering generative AI.
Google
Google has integrated its large language model LaMDA into various products and services, such as Google Assistant, Google Photos, Google Docs, Google Translate etc. LaMDA can generate natural and conversational responses to any query or prompt, as well as create images and videos based on text descriptions.
Microsoft
Microsoft has acquired OpenAI’s ChatGPT technology and made it available through its Azure cloud platform. ChatGPT can be used by developers and businesses to create chatbots, voice assistants, content generators, and more. Microsoft has also integrated ChatGPT into some of its products such as Outlook, Teams, PowerPoint, and more.
Amazon
Amazon has launched Alexa Conversations, a feature that allows Alexa users to have more natural and engaging conversations with the voice assistant. Alexa Conversations can also leverage Amazon’s vast e-commerce data to provide personalized recommendations and suggestions to users.
These are just some examples of how generative AI is being used by Apple’s competitors.
Robot chatting to human chatbot online
Apple has missed an opportunity to be a leader in the generative AI field by being too slow or too cautious in developing and deploying its own generative AI products.
However, it is highly likely that Apple is waiting for the right moment to surprise everyone with its innovative and unique generative AI features that will set it apart from its competitors.
