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AI Revolution: Unleashing Transformative Power Across Industries

The development of artificial intelligence (AI) has witnessed an undeniable surge in recent months. The emergence of groundbreaking technologies such as large language models (LLMs) like GPT-4, capable of astonishing cognitive feats like excelling on the Uniform Bar Examination, and ASR platforms like ASAPP, achieving remarkable accuracy rates of 98.25%, underscores the relentless pace of progress in the AI domain. It is evident that the trajectory of AI advancement will only continue to accelerate.

The rapid strides in AI have prompted concerns, with a petition garnering over 27,000 signatures advocating for a moratorium on AI system training. Leading AI researchers, intellectuals, and entrepreneurs have expressed the need for caution when dealing with such potent technology. However, the potential benefits offered by AI are so immense that we are on the brink of witnessing widespread adoption across a multitude of industries and sectors.

The competitive advantages bestowed by AI will expedite its adoption rate, ultimately leading to the technology’s deep integration within the daily operations of countless companies. This transformative shift will fundamentally reshape the distribution of market share, redefine the availability of products and services to customers, and revolutionize how companies position themselves in the global landscape.

As AI continues to evolve, its utilization will become increasingly tailored to specific sectors and use cases, making it an integral part of numerous industries. The implications of this widespread adoption are far-reaching, as AI-driven systems will permeate every aspect of business operations, enabling organizations to unlock unprecedented efficiencies, insights, and opportunities.

The future holds a landscape where AI’s impact is not limited to a select few pioneering companies but becomes the norm across industries. Embracing AI will become a strategic imperative for businesses seeking to remain competitive in this rapidly evolving digital era.

Why AI Adoption Will Be Rapid and Widespread

Intelligence is the most powerful and dynamic resource we have — it’s an engine of innovation, it can be put toward unlimited purposes, and in the case of AI, it even has the potential to be recursively self-improving. One of the reasons AI has generated so much anxiety is the fact that it exhibits the capacities human beings hold most dear: creativity, problem-solving and the ability to express ideas in a cogent and compelling way. However, it’s a mistake to overlook the ways AI and human intelligence complement each other.

Over the past several months, most media attention has been focused on LLMs as millions of people experiment with them and major companies like Google and Microsoft integrate the technology into their products. But AI is set to revolutionize countless other areas — a recent Gartner report considered the top five use cases in finance alone: demand/revenue forecasting, anomaly and error detection, decision support, POC revenue forecasting and cash collections. These use cases enable people to do their jobs more effectively. Revenue forecasting, for instance, allows company leaders to plan more strategically. Error detection helps employees avoid tedious manual analysis and backtracking.

Between 2017 and 2022, McKinsey reports that AI adoption more than doubled. Gartner found that 45% of executives say the publicity of ChatGPT led to an increase in AI investment, while 70% of companies are exploring generative AI. With more resources flowing into AI research and use cases growing all the time, this trend shows no sign of slowing down.

The expanding business case for AI

There’s a corollary to the ever-growing set of use cases for AI: Drastic improvements in business outcomes. According to a recent PwC survey, companies that have distinguished themselves as “AI leaders” are extracting significant value from the technology in many areas: increasing productivity through automation, improving decision-making and the customer experience, developing more innovative products and services, and enhancing employee experience and skills acquisition (this list only encompasses the top five outcomes).

Consider natural language processing (NLP): AI can now flawlessly convert speech to text, extract sentiment and meaning from huge volumes of consumer data and immediately provide credible responses to customers’ questions. The global call center market is expected to grow from almost $340 billion in 2020 to $496 billion in 2027, which is no surprise given the billions of dollars spent on these centers by major financial institutions, airlines and telecommunications companies. ASR platforms like ASAPP are dramatically improving automated communications, which will lead to much better customer experiences, efficiency gains and cost reductions (as companies won’t have to spend as much on human capital).

Companies are becoming more confident in their ability to predict the ROI they can secure from AI — 72% of AI leaders say they can confidently assess the ROI of current AI initiatives, while 59% say the same about initiatives planned for the next year. There’s no clearer sign that the business case for AI is becoming stronger by the day.

AI has become integral to more and more daily operations

Although we’re still years away from roads filled with fully autonomous vehicles and other elements of the AI-powered future that have long captured the public imagination, the breakthroughs of the past six months alone have demonstrated that it’s extremely difficult to predict just how quickly this field will develop. As AI and ML evolve in tandem with sweeping advances in robotics and automation, the economic impact will be tectonic.

Beyond the breadth of AI adoption across industries and sectors, companies will increasingly find that AI is integral to a growing range of functions. Everything from product development to operations to accounting, sales and pricing will be affected by AI, and companies will be divided into AI haves and have-nots.

Take hiring, for instance — 85% of companies that use AI for HR-related purposes say it helps them increase efficiency, while more than two-thirds report that it has improved the quality of applications for review. Speaking of human capital, there’s a global hiring boom in AI right now, which will give some companies a serious competitive advantage in the coming years while others fall behind.

AI will function as a turbocharger for many aspects of business, but companies won’t be able to leverage this performance boost if they continue to use cumbersome and overly complex legacy systems. Just as it wouldn’t make sense to strap a turbocharger onto a horse and buggy, it doesn’t make sense to deploy AI without the right supporting tech stack — from efficient workflow solutions to feature-rich and accessible customer-facing platforms (that is, your contact center UI).

The acceleration of AI innovation and adoption will catalyze soaring investments in the technology, and billions of dollars in valuations will shift as some companies use AI to drive competitive differentiation and others fail to keep pace. Companies that embrace AI will figure out new and productive ways to integrate it with their existing workforces, products, and operations — a head start today that will pay dividends tomorrow.

NVIDIA Unveils ‘Grace Hopper’: Next-Gen CPU+GPU Chip for AI Models

NVIDIA, renowned for its advancements in artificial intelligence (AI), has introduced its latest CPU+GPU chip, Grace Hopper, which promises to usher in the next era of AI models and chatbots.

While traditionally known for their role in accelerating graphics rendering for computer games, graphics processing units (GPUs) have demonstrated significantly higher computing power compared to central processing unit (CPU) chips. This led tech companies to adopt GPUs for training AI models due to their ability to perform multiple calculations simultaneously, in parallel.

In 2020, NVIDIA introduced the A100 GPU chip, which proved instrumental in training early iterations of conversational chatbots and image generators. However, within just a short span, the highly advanced H100 Hopper chips have emerged as essential components in data centers that power popular chatbots like ChatGPT. Now, NVIDIA has unveiled a groundbreaking chip that integrates both CPU and GPU capabilities.

The Grace Hopper chip represents a significant leap forward, combining the strengths of CPU and GPU technologies to enhance AI model training and performance. Its introduction marks a new milestone in the ongoing development of AI hardware, enabling more efficient and powerful computing capabilities for AI-related applications.

As the AI landscape continues to evolve, NVIDIA’s Grace Hopper chip aims to play a pivotal role in driving advancements in AI models and chatbot technologies, propelling the field toward unprecedented possibilities.

What are Grace Hopper chips from Nvidia?

According to a press release, Nvidia has created its new chip by combining its Hopper GPU platform with the Grace CPU platform (both named after Grace Hopper, a pioneer of computer programming). The two chips have been connected using Nvidia’s NVLink chip-to-chip (C2C) interconnect technology.

Dubbed GH200, the super chip has 528 GPU tensor cores which can support 480 GB of CPU RAM and 96 GB of GPU RAM. The GPU memory bandwidth on the GH200 is 4TB per second, which is twice as much as the A100 chips.

The super chip also boasts 900GB/s of the coherent memory interface, which is seven times faster than the latest generation PCIe, which has only become available this year. Along with running all Nvidia software such as HPC SDK, Nvidia AI, and Omniverse, the GH200 has 30 times higher aggregate memory bandwidth compared to the A100 chips.

What will chips be used for?

Nvidia, well on its way to becoming a trillion-dollar company, expects the GH200 chips to be used for giant-scale AI and high-performance computing (HPC) applications. At this point in time, one can only imagine AI models and chatbots that are faster and more accurate being built with this superior technology.

The company also plans to use them to build a new exaflop supercomputer capable of performing 10¹⁸ floating point operations per second (FLOPS). Two hundred fifty-six of the GH200 chips will be put together to function as one large GPU and have 144 TB of shared memory, about 500 times that of the A100.

“Generative AI is rapidly transforming businesses, unlocking new opportunities, and accelerating discovery in healthcare, finance, business services, and many more industries,” said Ian Buck, vice president of accelerated computing at NVIDIA, in a press release. “With Grace Hopper Superchips in full production, manufacturers worldwide will soon provide the accelerated infrastructure enterprises need to build and deploy generative AI applications that leverage their unique proprietary data.”

Global hyperscalers and supercomputing centers in the U.S. and Europe will get access to the GH200-powered systems later this year, the release added.

AI Regulation: Two Bipartisan Bills Introduced in US Senate

As artificial intelligence (AI) continues to experience rapid growth, governments around the world have started to consider modifying policies and regulations around the technology, US Senators yesterday introduced two separate bipartisan bills addressing AI to tackle issues surrounding the technology and to remain “competitive”, according to Reuters.

One bill would require the US government to be transparent when using AI when interacting with people.

The other bill would establish an office to determine whether the US was competitive in the latest technologies. Additionally, the proposed bill would mandate agencies to create a way to enable people to lodge appeals against decisions made by AI.

Reaching solutions

Homeland Security committee chair, Democrat Senators Gary Peters along with Republicans – Senators Mike Braun and James Lankford, introduced a bill that would require US government agencies to tell individuals when the agency is using AI to interact with them.

Senator Mike Braun said, “The federal government needs to be proactive and transparent with AI utilization and ensure that decisions aren’t being made without humans in the driver’s seat.”

Democrat Senators Michael Bennet and Mark Warner further introduced a measure along with Republican Senator Todd Young.

Under the new measure, an Office of Global Competition Analysis would be established through which the agency would ensure that the US remained front and center in developing artificial intelligence.

“We cannot afford to lose our competitive edge in strategic technologies like semiconductors, quantum computing, and artificial intelligence to competitors like China,” Michael Bennet said.

Meanwhile, the UK has joined the race to propose regulatory solutions for AI technology. The UK is set to host a global summit on artificial intelligence safety later this year.

Britain’s Prime Minister Rishi Sunak announced on Thursday at a joint press conference with US President Joe Biden that the two countries would work together on AI safety.

Industrial insight

With ChatGPT, an AI program frequently making headlines this year, lawmakers around the world have had to address issues regarding the use of such technology.

Recently, OpenAI CEO Sam Altman addressed a Senate panel saying that he is willing to work with regulators and develop frameworks to reduce potential harm from AI.

“I think we also need rules, guidelines, on what’s expected in terms of disclosure from a company providing a model,” he said. “I am nervous about it”, he added.

Altman’s testimony was one of many at the Senate as the White House invited top technology CEOs to address AI concerns with U.S. lawmakers seeking to further the technology’s advantages, while limiting its misuse.

Altman’s warnings about AI and elections come at a time when companies large and small have been competing to bring AI to market, with billions of dollars at play. But experts everywhere have warned that the technology may worsen societal harms such as prejudice and misinformation.

Some have even gone so far as to speculate AI could end humanity itself.

US at Risk of Losing AI Edge to China, Says Scale AI CEO

The US is at risk of losing its edge to China in the race for artificial intelligence (AI), according to Alexandr Wang, the CEO of Scale AI. Wang was speaking at a summit organized by the company for government officials, Bloomberg reported.

AI is among the future technologies that countries around the world are looking to establish their supremacy in as the world evolves into the next age. Interesting Engineering has previously reported that China has been denting U.S. dominance in the technology sector. In studies conducted by policy institutes, China has already established monopolies in certain areas.

Not only is China home to the leading research institutes of a large spectrum of topics, but it is also generating nearly half of the world’s most impactful papers in these areas. When it comes to AI, the U.S. is still ahead but at risk of losing its lead, according to Wang.

What does Scale AI do?

The U.S. lead in AI has been demonstrated by the unveiling of ChatGPT, the conversational chatbot that multiple companies in China have tried to replicate but without the resounding popularity.

While OpenAI is credited with creating GPT, the large language model (LLM) behind ChatGPT, the role of companies like Scale AI cannot be discounted. LLMs need tons of data to train the bots, and the bot is only as good as the data it is trained on.

In 2016, Alexander Wang dropped out of MIT and founded Scale AI to help companies get the right training data to train their models. Apart from OpenAI, the company is also helping chipmaker Nvidia, carmaker Toyota, and the U.S. government build better AI systems.

How the U.S. is losing its edge

According to Wang, AI is unavoidable technology that must be integrated into military operations to stay ahead of adversaries. Comparing AI to nuclear weapons, Wang said that the technology would reshape global diplomacy and power.

Wang also pointed out that China was investing heavily in AI, both in terms of absolute numbers as well as relative to its defense budget. In a presentation at the summit, Wang detailed that the People’s Liberation Army had invested $1.6 billion in the technology in 2020, compared to the $1.3 billion allocated by the Department of Defense.

Senator Mike Rounds, speaking at the same event, agreed that the U.S. currently held the advantage when it came to data collection and labeling but also warned that services like TikTok, which is owned by Chinese company ByteDance could give the Chinese access to additional English language samples to train their AI systems.

Interesting Engineering has also reported that the flurry of AI models developed by Chinese tech counterparts after ChatGPT’s success has also been bilingual and intended for users outside China.

Wang further added that the U.S. must leverage the vast amounts of data it collects through its military hardware, such as sensors, cameras, and satellites, to train AI. Ensuring the quality of the inputs can turn the “hardware advantage into data advantage.”

FBI Warns of Increasing Threat: AI Deepfakes and Sextortion Cases Surge

In a recent Public Service Announcement (PSA), the Federal Bureau of Investigation (FBI) cautioned the American public about a concerning rise in incidents of sextortion and online harassment facilitated by the use of artificial intelligence (AI) deepfake technology. Malicious actors are exploiting AI algorithms to manipulate digital media, creating realistic deepfakes that enable them to target unsuspecting victims.

Deepfakes are synthetic content generated through AI and machine learning techniques, capable of making individuals appear to say or do things they have never done. These deceptive creations have become alarmingly authentic, leading to severe consequences for those targeted.

The FBI has been receiving reports from various victims, including minors and non-consenting adults, whose social media content has been maliciously altered to explicit material. These doctored images and videos often circulate widely on social media platforms or end up on pornographic websites.

“The photos are then sent directly to the victims by malicious actors for sextortion or harassment, or until it was self-discovered on the internet. Once circulated, victims can face significant challenges in preventing the continual sharing of the manipulated content or removal from the internet,” the FBI emphasized in their PSA.

With readily available photo-editing software like Adobe’s Photoshop, which now incorporates generative AI capabilities, and OpenAI’s DALL-E, manipulating images has become increasingly accessible and convenient.

Neil Sahota, a United Nations AI adviser, highlighted the severity of the issue, stating, “We hear the stories about the famous people, but it can actually be done to anybody. And deepfake actually got started in revenge porn. You really have to be on guard.”

Sahota further advised individuals to remain vigilant and look for irregularities in videos and audio that may indicate manipulation. Unusual body language, odd shadowing, or inconsistencies in speech patterns should be red flags, signaling potential deepfake content.

The FBI has noticed a surge in victims reporting such crimes. Perpetrators typically employ tactics such as demanding payment in the form of money or gift cards, or coercing victims into providing genuine sexually-themed images or videos. Additionally, they use intimidation by threatening to expose the manipulated content to the victim’s friends and family on social media.

The FBI clarified that sextortion violates several federal criminal statutes, as it involves extorting money or sexual favors from victims through threats of public exposure. The primary motivations for malicious actors engaging in such behavior include entrapping victims into providing more illicit content, harassment, or extracting as much money as possible.

The FBI’s warning urges individuals to exercise caution when using social media platforms. They emphasize the importance of being mindful when posting any content online or sharing personal photos, videos, and information via social media, dating apps, and other online platforms.

“Advancements in content creation technology and the widespread availability of personal images online provide new opportunities for malicious actors to identify and target victims. This exposes individuals to potential embarrassment, harassment, extortion, financial losses, or prolonged victimization,” the FBI stated.

The agency’s message serves as a call to action, encouraging the public to remain vigilant and take necessary precautions to safeguard their online presence and personal information from these emerging threats.

The Transformative Power of AI: Shaping the Future of Living and Working

The pervasive influence of artificial intelligence (AI) has ignited widespread discussions, capturing headlines, dominating social media, and becoming a topic of conversation at dinner tables. While some express concerns about the rapid acceleration of AI and call for a pause in training new systems to fully comprehend their impact, others view AI as the foundation of the fourth industrial revolution—a disruptive force that unlocks unprecedented possibilities for learning, working and living.

However, disruptive technologies have been shaping our lives and work for decades. These transformations have not been without consequences, as economic shifts and social upheaval have often accompanied them. Automation in manufacturing revolutionized mass production and cost efficiencies, e-commerce platforms reshaped the way we shop and conduct business, and online education provided flexible and affordable learning opportunities to millions worldwide.

At present, much of the discussion surrounding AI’s impact remains speculative. Nonetheless, there is a consensus that AI will profoundly affect jobs, and it may even challenge the fundamental nature of work itself. What remains uncertain is how AI will unfold across society in the long run. Will it follow the pattern of past technological revolutions, causing temporary disruptions but ultimately yielding long-term benefits? Or will it act as a catalyst for new forms of learning and upskilling, bridging the digital divide and promoting equality?

One thing is evident: Unlike previous industrial revolutions, we now have unparalleled access to a vast array of learning resources capable of teaching people at scale, empowering marginalized communities, and mitigating the disruptions caused by evolving occupations.

Neuralangelo: NVIDIA’s New AI Model Turns 2D Videos into 3D Structures

Leading artificial intelligence (AI) company and chip manufacturer Nvidia has introduced its latest addition to their impressive lineup of AI tools called Neuralangelo.

Meet Neuralangelo, an advanced AI model designed to revolutionize the transformation of 2D video clips into highly detailed 3D structures. Powered by neural networks and cutting-edge algorithms for 3D reconstruction, Neuralangelo has the ability to generate virtual replicas of real-world objects with astonishing realism.

The name Neuralangelo pays homage to the renowned Italian sculptor and painter, Michelangelo, whose artistic brilliance during the Renaissance era produced iconic works such as the sculpture of David and the breathtaking paintings adorning the Sistine Chapel ceiling.

In a remarkable demonstration, Neuralangelo showcases its capabilities by recreating a diverse range of objects, from the timeless beauty of Michelangelo’s David to the ordinary yet familiar sight of a flatbed truck.

Through the utilization of Neuralangelo, the boundaries between the 2D and 3D realms are seamlessly bridged. This breakthrough AI model opens up endless possibilities for industries such as architecture, entertainment, and virtual reality, enabling the creation of immersive experiences and accurate virtual representations of physical objects.

Nvidia’s Neuralangelo marks a significant milestone in the field of AI-driven video transformation, propelling us into an era where the conversion of flat footage into captivating 3D structures is now within reach. With its remarkable capabilities, Neuralangelo is poised to reshape the way we perceive and interact with visual content, ushering in a new era of virtual creativity and innovation.

The AI model emerged from a study done in collaboration with the NVIDIA research team and the Johns Hopkins University in Maryland, U.S.

Neuralangelo is one of nearly 30 projects by NVIDIA Research to be presented at the Conference on Computer Vision and Pattern Recognition (CVPR), taking place June 18-22 in Vancouver. The papers span topics including pose estimation, 3D reconstruction, and video generation, said the company in a blog.

Multiple Images Observed From Different Viewpoints

How it works is that the AI-powered model will observe the depth, shape, and size of the characters or objects in a 2D video from multiple angles. Neuralangelo will at first create an initial 3D representation of the scene and then will optimize the render to enhance it further to lift the intricate details and textures.

Creative professionals can then use the 3D outcome in design applications, editing them further for use in art, video game development, and robotics, said the company in a blog. It also equips users with the capability of creating digital twins of the real world using ubiquitous mobile devices.

Many are wondering what this means for the gaming industry, in which Nvidia’s graphic cards are a leader. The company recently announced the Nvidia RTX 4060 Ti, an upgrade after RTX 4070.

“The 3D reconstruction capabilities Neuralangelo offers will be a huge benefit to creators, helping them recreate the real world in the digital world,” said Ming-Yu Liu, senior director of research and co-author of the paper, in the blog.

“This tool will eventually enable developers to import detailed objects — whether small statues or massive buildings — into virtual environments for video games or industrial digital twins,” she added.

As one Twitter user described it as ‘photogrammetry on steroids,’ neural surface reconstruction methods used in Neuralangelo have shown potential in overcoming ambiguous observations like large areas of homogeneous colors, repetitive texture patterns, or strong color variations. Photogrammetry is a technique that uses photos as the primary medium for the measurement of physical objects.

The concept behind Neuralangelo is not new. NVIDIA research last year created NVIDIA 3D MoMa, which allows architects, designers, and game developers to import objects into a graphics engine for digital manipulation.

Very Powerful AI May Be Banned, Warns UK Govt Adviser

As the development of artificial intelligence (AI) continues at an accelerated pace, experts and prominent figures in the field, often referred to as AI ‘godfathers,’ are raising concerns about the potential risks it poses to privacy, human rights, and overall safety.

In response to these concerns, the United Kingdom government, in collaboration with the European Union and the United States, is taking steps to regulate this transformative technology. A member of the UK government’s non-statutory AI Council, Marc Warner, CEO of AI company Faculty, has expressed the view that highly powerful artificial general intelligence (AGI) systems may ultimately need to be banned.

Warner, a respected member of the AI Council, an independent committee providing guidance to the UK Government on the AI ecosystem, discussed the concept of AGI in an interview with the BBC. AGI refers to systems that surpass human intelligence, possessing the ability to reason, plan, and learn from experience at a level equal to or potentially exceeding human capabilities.

Expressing valid concerns, Warner emphasized that AGI poses much greater worries and requires an entirely different set of rules. He highlighted the significance of human intelligence in our position of prominence on this planet and questioned the safety implications of creating objects that are as intelligent as or even surpass human intelligence, without a solid scientific justification.

On the other hand, Warner suggested that narrow AI systems, which are designed for specific tasks like text translation or machine learning-based identification of bacteria, could be regulated similarly to existing technologies.

However, AGI systems have the potential to match or surpass human intelligence across various tasks. Warner called for prudent decision-making regarding AGI, emphasizing the need for strong limitations on the amount of computing power that can be applied arbitrarily to such systems.

Warner is also a signatory to the Center for AI Safety statement, which advocates for action to mitigate the risks of potential human extinction due to AI. Notable figures who have also signed the statement include Geoffrey Hinton, an AI pioneer, Yoshua Bengio, a renowned AI scientist and professor, Sam Altman, CEO of OpenAI, Bill Gates, co-founder of Microsoft, Dario Amodei, CEO of Anthropic, Demis Hassabis, CEO of Google DeepMind, and others.

While the EU Artificial Intelligence Act, one of the earliest attempts to regulate AI, is still undergoing legislative processes, the European Union Commissioner Margrethe Vestager stated that it would take two to three years for various pieces of legislation to come into effect. She stressed the urgency of addressing the rapid technological acceleration in AI.

Europe is leading the way in articulating regulations to govern AI in a safe manner, ahead of the United States. CEOs of prominent AI companies have called for the establishment of rules to manage this powerful technology. It is now more crucial than ever for countries like the U.S. to step up their efforts if they wish to be actively involved in international AI governance discussions.

AI ‘Godfather’ Professor Yoshua Bengio Expresses Concerns over Technology’s Rapid Evolution

Following Geoffrey Hinton’s recent warning about the potential dangers of artificial intelligence (AI), another prominent figure in the field, Professor Yoshua Bengio, has expressed his concerns regarding the pace at which technology is advancing.

In an interview with the BBC, Bengio, known as one of the ‘godfathers’ of machine learning, revealed that he feels “lost” in regard to his life’s work. As a Canadian computer scientist and professor at the University of Montreal, Bengio is renowned for his groundbreaking contributions to AI, particularly in the area of deep learning.

While acknowledging the emotional challenges faced by those deeply involved in AI, Bengio emphasized the importance of persevering and engaging in discussions to foster collective thinking.

Notably, Geoffrey Hinton, another prominent AI figure, recently resigned from his position at Google to freely address the risks associated with AI.

Bengio’s remarks come on the heels of a statement released by the Center of AI Safety (CAIS), a research nonprofit, cautioning about the potential existential threats posed by artificial intelligence. The statement, signed by Bengio, Hinton, Sam Altman (CEO of OpenAI), Demis Hassabis (CEO of Google DeepMind), and other notable AI scientists and figures, emphasizes the need to prioritize mitigating the risks of AI-induced extinction alongside other global-scale concerns such as pandemics and nuclear warfare.

According to CAIS, as AI continues to advance, it could potentially contribute to catastrophic risks. The organization’s blog highlights various ways in which AI systems could pose significant dangers, including the potential use of AI as a political weapon. OpenAI’s CEO echoed this sentiment during a recent appearance before a Senate committee, expressing concerns about AI’s interference with election integrity.

The collective voices of influential figures like Bengio and Hinton, along with organizations like CAIS, underscore the imperative of addressing the risks associated with AI as it progresses further into the future.

Calls for regulation

Professor Bengio further told the BBC that all AI companies must be registered. “Governments need to track what they’re doing, they need to be able to audit them, and that’s just the minimum thing we do for any other sector like building airplanes or cars or pharmaceuticals.”

“We also need the people close to these systems to have a kind of certification… we need ethical training here. Computer scientists don’t usually get that, by the way,” he added.

Countries across the globe are grappling to regulate AI, as its full potential remains unknown. U.S President Joe Biden and Vice President Kamala Harris had a meeting with tech industries’ bigwigs like Altman, Anthropic CEO Dario Amodei, Microsoft CEO Satya Nadella, and Google CEO Sundar Pichai earlier this month to address the risks associated with AI and the responsibility that their respective companies need to take to ensure safety and privacy.

Baidu Invests $140 Million to Foster Generative AI Startups

Baidu Inc., China’s internet search leader, is investing 1 billion yuan ($140 million) to incubate Chinese startups that focus on generative AI. As reported in Bloomberg, the move makes Baidu a part of the global investment wave centering on ChatGPT-like services.

Baidu into Generative AI Startups

According to a statement released by Baidu, the Investment to Foster Projects Utilizing its Ernie AI Model Could Reach up to 10 Million Yuan Each. Venture investors, including IDG Capital, will Evaluate Pitches from Founders, who will then Create Demo Products before a Decision on Seed Funding.

This Incubation Program Merges One of China’s Top Startup Investment Firms with its Leading Player in AI Development. This Represents Another Leap Forward in China’s Aggressive AI Investment Strategy, Catalyzed by the Media Buzz Surrounding the Debut of OpenAI’s ChatGPT.

Baidu Countered with its Version of ChatGPT, Dubbed Ernie Bot, Sparking Competition Among Rivals such as Alibaba Group Holding Ltd., Tencent Holdings Ltd., and SenseTime Group Inc. to Unveil Competing Platforms. Baidu, in Partnership with Venture Capitalists, will Evaluate Pitches from Aspiring Founders who Plan to Use Ernie to Expand their Services.

The Role of Ernie AI in China’s Burgeoning AI Industry

But it’s too soon to say if Ernie Bot could reach the “killer app” status, much like Tencent’s omnipresent WeChat. China’s leading internet regulator has stated that generative AI tools must pass security reviews before deployment. Furthermore, US sanctions have deprived Chinese tech firms of the best chips to train their AI models, potentially widening the divide between services like Ernie Bot and their Western counterparts.

Li unveiled Ernie Bot in March via a pre-recorded demo, leaving investors and analysts somewhat underwhelmed. While the Chinese chatbot received positive reviews among selected testers, Baidu’s shares still show a roughly 20% drop from their February high. Despite these challenges, the company remains optimistic and committed to redefining the AI landscape with its latest project.