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.
OpenAI’s ChatGPT can now ‘see, hear and speak,’ or, at least, understand spoken words, respond with a synthetic voice and process images, the company announced Monday 25th September 2023.
The update to the chatbot OpenAI’s biggest since the introduction of GPT-4, allows users to opt into voice conversations on ChatGPT’s mobile app and choose from five different synthetic voices for the bot to respond with. Users will also be able to share images with ChatGPT and highlight areas of focus or analysis.
Roll out
The changes will be rolling out to paying users in the next two weeks, OpenAI said. ‘While voice functionality will be limited to the iOS and Android apps, the image processing capabilities will be available on all platforms’.
The big feature push comes alongside ever-rising stakes of the artificial intelligence (AI) race among chatbot leaders such as OpenAI, Microsoft, Google and Anthropic. In an effort to encourage consumers to adopt generative AI into their daily lives, tech giants are racing to launch not only new chatbot apps, but also new features. Google has announced updates to its Bard chatbot, and Microsoft added visual search to Bing.
Investment expansion
Earlier this year, Microsoft’s expanded its investment in OpenAI, an additional $10 billion, it made it the biggest AI investment of the year. In April 2023, the startup reportedly structured a $300 million share sale at a valuation of between $27 billion and $29 billion, with investments from firms such as Sequoia Capital and Andreessen Horowitz.
Concerns
Experts have raised concerns about AI-generated synthetic voices, which in this case could allow users a more natural experience but also enable more convincing deepfakes. Cyber threat investigators and researchers have already begun to explore how deepfakes can be used to penetrate cybersecurity systems.
OpenAI says ChatGPT can now ‘speak,’ listen and process images
OpenAI acknowledged those concerns in its announcement, saying that synthetic voices were ‘created with voice actors we have directly worked with,’ rather than collected from strangers.
The release also provided little information about how OpenAI would use consumer voice inputs, or how the company would secure that data if it were used. OpenAI did not immediately respond to CNBC’s request for comment, and the company’s terms of service say that consumers own their inputs ‘to the extent permitted by applicable law.’
What does ‘ChatGPT’ actually mean?
ChatGPT is an acronym for Chat Generative Pre-trained Transformer. It is a name of an artificial intelligence model that can generate natural language text based on user input.
It was developed by OpenAI, a research organization dedicated to creating and ensuring the safe and beneficial use of artificial intelligence (AI). ChatGPT can be used for various purposes, such as answering questions, having conversations, and producing creative writing.
E-commerce conglomerate Amazon announced on Monday 25th September 2023 that it will invest up to $4 billion in artificial intelligence (AI) firm Anthropic, a rival to ChatGPT developer OpenAI, and take a minority ownership position in the company.
The move further enforces Amazon’s aggressive AI push as it aims to keep pace with rivals such as Microsoft and Alphabet’s Google.
The two firms reportedly said that they are forming a strategic collaboration to advance generative AI, with the startup selecting Amazon Web Services as its primary cloud provider.
Reports suggest as much as $3 trillion is waiting on the sidelines to be invested in tech’.
AI FOMO
The reasoning is that AI is driving a fear of missing out (FOMO). We could very well be experiencing the fourth industrial revolution right now, and it is AI-driven. Strategically, companies can’t just sit around and wait. There’s a window where if they don’t join in or realise the potential and grab the opportunity, they’ll miss out.
IPO’s
Three of the biggest initial public offerings (IPO) in the tech’ sector in nearly two years raised some $6 billion collectively in less than a week. Nvidia has attracted much attention with the AI driven interest it has created recently.
While a handful of tech IPOs and one big acquisition wouldn’t have been much cause for celebration in previous years, they are a welcome return after the drought of pandemic-era hit investment.
The IPO market for tech was effectively shut down until Arm Holdings, Instacart and Klaviyo opened the investors door again. Merger activity such as that driven by Microsoft Corp., OpenAI ChatGPT and Activision Blizzard Inc. is helping to lift up the appetitie for investment again. And it’s pretty much AI induced.
Money ready to go
Some analysts suggest there is $3 trillion sitting on the sidelines ready to invest, mostly held by Big Tech and private equity companies. The fascination with artificial intelligence (AI) and fear of missing out (FOMO) will create massive AI led tech investing opportunities. Everyone will want a slice of this cake.
This could very well be the biggest transformational spending wave that we’ve seen in years and certainly since the internet arrived in 1995.
Just look out for that ‘bubble’ again – it will pop! But much money will be made before that happens and then again after.
Baidu also announced that more than 6 million users have used an AI powered tool that sits inside its Google drive-like cloud product.
At the 4th September event, Baidu also demonstrated ‘displayed generative’ AI-based products that could assist with traffic management, financial research and coal mine logistics.
ChatGPT, from Microsoft-backed OpenAI, is not officially available in China, where Google and Facebook are blocked.
10 new AI products announced by Baidu
Chinese tech giant Baidu announced more than 10 new AI-based applications on 4th September 2023, just days after its ChatGPT-like Ernie bot was released for public use.
Among the products revealed was a generative AI-integrated word processing app called WPS AI, created by Shanghai-listed Kingsoft Office. It was reported the company built the tool using the AI model on which Baidu’s Ernie bot is based, as well as Baidu’s ‘Qianfan’ cloud platform for AI models.
‘This AI malarchy is progressing at quite a rate’.
Nearly 10,000 businesses are actively using Baidu’s Qianfan cloud platform each month, the company claimed.
AI assistant
Baidu also announced that more than 6 million users have used an AI-powered tool that sits inside its Google drive-like cloud product. The AI assistant can search documents, summarize and translate text and create content, the company claimed.
It wasn’t immediately clear to what extent those products were available for public use.
On 31st August 2023, Baidu released its Ernie bot to the public, signaling government approval of the AI-powered chatbot. Other Chinese companies also released similar AI products around the same time.
Amazon is one of the leading companies in the field of artificial intelligence (AI) and has been developing its own custom chips to power its AI applications and services.
Amazon’s AI chips are designed to perform tasks such as natural language processing, computer vision, speech recognition, and machine learning inference and training.
AI chips created by Amazon
AZ2: This is a processor built into the Echo Show 15 smart display and powers artificial intelligence tasks like understanding your voice commands and figuring out who is issuing those commands. The AZ2 chip also enables features such as visual ID, which can recognize faces and display personalized information on the screen.
Inferentia: This is a high-performance chip that Amazon launched to deliver low-cost and high-throughput inference for deep learning applications. Inferentia powers Amazon Elastic Compute Cloud (EC2) Inf1 instances, which are optimized for running inference workloads on AWS. Inferentia also powers some of Amazon’s own services, such as Alexa, Rekognition, and SageMaker Neo.
Trainium: This is a chip that Amazon designed to provide high-performance and low-cost training for machine learning models. Trainium will power Amazon EC2 Inf2 instances, which are designed to train increasingly complex models, such as large language models and vision transformers. Trainium will also support scale-out distributed training with ultra-high-speed connectivity between accelerators.
Despite advancements is Amazon chasing to keep up?
Amazon is racing to catch up with Microsoft and Google in the field of generative AI, which is a branch of AI that can create new content or data from existing data. Generative AI can be used for applications such as natural language generation, image and video synthesis, text summarization, and personalization.
AI models from Amazon
Titan: This is a family of large language models (LLMs). Titan models can generate natural language texts for various domains and tasks, such as conversational agents, document summarization, product reviews, and more. Titan models are trained on a large and diverse corpus of text data from various sources, such as books, news articles, social media posts, and product descriptions.
Powerful chips for artificial intelligence (AI)
Bedrock: This is a service that Amazon created to help developers enhance their software using generative AI. Bedrock provides access to pre-trained Titan models and tools to customize them for specific use cases. Bedrock also allows developers to deploy their generative AI applications on AWS using Inferentia or Trainium chips.
Generative AI
Amazon’s CEO, Andy Jassy in the past said he thought of generative AI as having three macro layers: the compute, the models, and the applications. He said that Amazon is investing heavily in all three layers and that its custom chips are a key part of its strategy to provide high-performance and low-cost compute for generative AI. He also said that Amazon is not used to chasing markets but creating them, and that he believes Amazon has the best platform for generative AI in the world.
Inferentia and Trainium, offer AWS customers an alternative to training their large language models on Nvidia GPUs, which have been getting difficult and expensive to procure.
‘The entire world would like more chips for doing generative AI, whether that’s GPUs or whether that’s Amazon’s own chips that we’re designing’, Amazon Web Services CEO Adam Selipsky is reported to have said. ‘I think that we’re in a better position than anybody else on Earth to supply the capacity that our customers collectively are going to want’.
Fast actors
Yet others have acted faster, and invested more, to capture business from the generative AI boom. When OpenAI launched ChatGPT in November 2022, Microsoft gained widespread attention for hosting the chatbot, and investing a reportedly whopping $13 billion in OpenAI. It was quick to add the generative AI models to its own products, incorporating them into Bing in February 2023.
That same month, Google launched its own large language model, Bard, followed by a $300 million investment in OpenAI rival Anthropic.
AI Chat Bot robot
It wasn’t until April 2023 that Amazon announced its own family of large language models, called Titan, along with a service called Bedrock to help developers enhance software using generative AI.
Amazon is not used to chasing markets. Amazon is used to creating markets. And for the first time for some time, they find themselves on the back foot and working to play catch up.
And Meta?
Meta also recently released its own LLM, Llama 2. The open-source ChatGPT rival is now available for people to test on Microsoft’s Azure public cloud.
The U.S. cyber hacker challenge is a new initiative launched by the Biden administration in August 2023 to use artificial intelligence (AI) to protect critical U.S. infrastructure from cybersecurity risks.
The challenge will offer $20 million in prize money and includes collaboration from leading AI companies Anthropic, Google, Microsoft and OpenAI, who will make their technology available for the competition. The challenge was announced at the Black Hat USA hacking conference in Las Vegas.
The competition will consist of three stages
Qualifying event in the spring of 2024
Semifinal at DEF CON 2024
Final at DEF CON 2025
The competitors will be asked to use AI to secure vital software and open source their systems so that their solutions can be used widely (does that create a risk in itsellf)? The top three teams will be eligible for additional prizes, including a top prize of $4 million for the team that best secures vital software.
The challenge aims to explore what’s possible when experts in cybersecurity and AI have access to a suite of cross-company resources. The U.S. government hopes that the promise of AI can help further secure critical U.S. systems and protect Americans from future cyber attacks!
Limitations and risks using AI for security
However, there are flaws and drawbacks of using AI for cybersecurity, both for the attackers and the defenders.
Lack of transparency and explainability: AI systems are often complex and opaque, making it difficult to understand how they make decisions or what factors influence their outputs. This can lead to trust issues, ethical dilemmas, and legal liabilities.
Overreliance on AI: AI systems are not infallible and may make mistakes or produce false positives or negatives. Relying too much on AI, without human oversight or verification can result in missed threats, erroneous actions, or unintended consequences.
Bias and discrimination: AI systems may inherit or amplify human biases or prejudices that are present in the data, algorithms, or design of the systems. This can result in unfair or discriminatory outcomes, such as excluding certain groups of people from access to services or opportunities, or targeting them for malicious attacks.
Vulnerability to attacks: AI systems may be susceptible to adversarial attacks, such as data poisoning, model stealing, evasion, or exploitation. These attacks can compromise the integrity, availability, or confidentiality of the systems, or manipulate them to produce malicious outputs.
High cost: Developing and maintaining AI systems for cybersecurity requires a lot of resources, such as computing power, memory, data, and skilled personnel. These resources may not be easily accessible or affordable for many organizations or individual.
‘Well, what do you think of AI and cybersecurity sharing resources’? ‘Ha! playing right into our hands’.
These are some of the flaws of using AI for cybersecurity, but they are not insurmountable. With proper research, regulation, education, and collaboration, AI can be a powerful ally in enhancing cybersecurity and protecting against cyber threats – that is until it takes over, but that will never happen… will it?
According to a recent news article, Google says people should use its search engine to check whether information provided by Bard is actually accurate, as it may display inaccurate or offensive information that doesn’t represent Google’s views. Just Google views I wonder…?
Google’s UK boss Debbie Weinstein said Bard was not really the place that you go to search for specific information, but rather an experiment best suited for collaboration around problem solving and creating new ideas.
‘Just checking the answer with my search engine!’
Hallucinate
According to an Android Authority article, both Bard and ChatGPT can hallucinate or confidently lie when asked about obscure topics. Bard does offer a link to search results and will sometimes cite a source or two. However, Google states that Bard can even lie about its own inner workings so you cannot trust everything it says…?
Testing… 1… 2… 3…?
According to a report by Marie Haynes, Bard predicts it will generate accurate responses 85% of the time by September 2023, but in an experiment, it posted an accuracy score of 63%, meaning it had incorrect information in more than 1/3 of its responses
Early days, or habouring a problem for the future?
Baidu said its AI system called Ernie 3.5 outperformed OpenAI’s ChatGPT and GPT4 in several key areas.
The Chat Bot was revealed in March 2023 and has since been publicly testing it in China. The chatbot is based on Baidu’s foundational AI model called ERNIE.
Baidu’s advancements underscore the intense competition taking place in the area of generative AI with technology giants in the US and China rapidly advancing their AI models.
ERNIE – Enhanced Language RepresentatioN with Informative Entities
US and China AI Bots go head to head
Ernie was first introduced in 2019, and since then, Baidu has been improving and upgrading it with new versions. The latest version, Ernie 3.5, was announced in June 2023, and it claims to outperform OpenAI’s ChatGPT and GPT 4 in several key areas
Baidu’s Ernie is an artificial intelligence (AI) model that powers the company’s chatbot service, Ernie Bot. Ernie stands for Enhanced Language RepresentatioN with Informative Entities, and it is a natural language processing (NLP) deep-learning model that can understand and generate natural language.
Trained on large data sets
Ernie 3.5 is based on Baidu’s foundational AI model, which is trained on huge amounts of data from various domains, such as news, social media, encyclopedias, books, and more. Ernie 3.5 can handle various NLP tasks, such as question answering, dialogue generation, text summarization, sentiment analysis, and more.
According to a test by the China Science Daily journal, Ernie 3.5 surpassed ChatGPT and GPT 4 in general abilities and outperformed the more advanced GPT 4 on several Chinese-language capabilities.
ERNIE version 3.5 boosted its training and efficiency, making it faster and cheaper to upgrade to future versions. Baidu hopes that ERNIE Bot will become the next must-have app in China’s internet market, attracting users because of its natural and engaging conversations.
Intergration
Baidu has been integrating ERNIE Bot across multiple business applications, ranging from cloud computing to smart speakers.
AI Chatbot
ERNIE Bot is one of the examples of how Baidu is investing in AI technology and competing with other tech giants in the US and China. Baidu’s founder Robin Li, reportedly said that ‘foundation models are an engine driving global economic growth and represent a major strategic opportunity that cannot be missed‘.
The major BIG players, Alphabet (Google), Microsoft & META all have their own versions of AI. Hopefully it will be used ‘intelligently’.
