Tag: AI

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Nvidia announces new AI chips

AI

Nvidia has revealed its latest generation of AI chips, coming just months after the release of its preceding model.

This rapid succession underscores the intense competition within the AI chip market and Nvidia’s relentless effort to maintain its leading position.

CEO Jensen Huang has now committed to unveiling new AI chip technology annually, accelerating the company’s prior biannual pace. The latest AI chip architecture, named ‘Rubin,’ is set to follow the ‘Blackwell’ model announced in March 2024, which is currently in production and anticipated to be delivered to customers the latter part of 2024.

Huang’s unveiling of the Rubin has seemingly hastened Nvidia’s already rapid AI chip development.

Nvidia has committed to launching new AI chip designs annually, a cadence Huang reportedly referred to as a ‘one-year rhythm‘ during his Sunday 2nd June 2024 announcement. Previously, the company was committed to updating its chips every two years. But such is the speed and fierce competition of AI development, that original decision has become quickly out-dated.

The swift transition from Blackwell to Rubin, taking less than three months, highlights the intense competition in the AI chip market and Nvidia’s race to maintain its leading position.

AMD and Intel are two major competitors playing catch-up in the AI race.

Nvidia one year share chart

Nvidia one year share chart
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AI power hungry data centres go green in Singapore

AI thirst for power

Singapore is actively addressing the dual challenges of the increasing demand for artificial intelligence (AI) and the pressure on energy resources. The nation recently unveiled a green data centre roadmap to bolster its digital economy aspirations.

Growing AI Demand and Energy Strain

With the increasing demand for digital and AI computation, the requirement for data centre capacity has grown. This heightened demand is exerting pressure on national energy networks, calling for urgent attention.

Goals

The Green Data Centre plan is designed to deliver a minimum of 300 megawatts of extra capacity. Singapore’s strategy includes improving energy efficiency in all data centres, implementing energy-efficient IT equipment, and providing incentives or grants to promote resource efficiency.

Sustainability

Singapore acknowledges the substantial contribution of data centres to its ICT sector’s emissions, accounting for 82% of the sector’s emissions and 7% of the nation’s total electricity consumption. By prioritizing energy efficiency, renewable energy, and sustainability, Singapore strives to maintain its position as a premier digital hub while reducing its environmental impact.

International status

Singapore’s data centers capitalize on the nation’s global standing as a commercial and digital centre. The city-state ranks as the second-largest data center market in Southeast Asia and holds the sixth position in the Asia-Pacific region.

In conclusion, Singapore’s focus on green data centres demonstrates its pledge to sustainable development amidst increasing energy needs driven by AI. With an emphasis on energy efficiency and renewable energy, Singapore seeks to harmonize technological progress with ecological stewardship.

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Microsoft’s AI system Recall can take screenshots

Copilot

The UK’s data protection authority, the Information Commissioner’s Office (ICO), is reportedly making inquiries into a new screenshot feature available from Microsoft.

This feature, known as Recall, is a component of the Copilot+ suite and aims to take encrypted snapshots of a user’s laptop screen at intervals, storing them on the device. The ICO is examining the feature to determine the privacy protections in place.

Recall is designed to enable users to search their computer usage history using natural language, effectively creating a type of photographic memory of their activity. Concerns have been voiced about the feature’s potential to become a ‘privacy nightmare’ due to its ability to capture sensitive information. Microsoft has clarified that Recall is a voluntary feature, giving users the choice over the snapshots it collects. The data is kept on the local device and is inaccessible to Microsoft or others without access to the device.

The ICO’s investigation aims to ensure that companies thoroughly evaluate and address any risks to individual rights and freedoms prior to launching new technologies. Microsoft has reiterated its dedication to privacy and security, noting that these principles were integral to the development of Recall. The company has also indicated that users can specify the snapshots collected by Recall and that Microsoft Edge’s private browsing mode is not included.

Awareness of software features and privacy settings is crucial for users, particularly regarding personal data handling. The ICO’s inquiries represent a move towards addressing privacy concerns and safeguarding user data.

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Amazon plans to give Alexa an AI make-over

Smart speaker

Amazon is reportedly set to launch an enhanced version of its long-standing voice assistant this year, which will be available for a monthly fee, according to sources.

This new service reportedly will not be part of the Amazon Prime subscription. The news emerges as OpenAI introduced a chatbot capable of engaging in two-way conversations, contrasting with Alexa’s current common uses such as setting kitchen timers and providing weather updates.

Now what’s wrong with that – that’s how I use my Alexa!

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Big tech companies pledge AI safety commitments

AI Kill Switch!

Leading technology companies, such as Microsoft, Amazon, and OpenAI, have united under a significant international accord for artificial intelligence (AI) safety measures, established at the Seoul AI Safety Summit on Tuesday 21st May 2024.

Following the agreement, firms from various nations, including the UK, China, Canada, the U.S., France, South Korea, and the United Arab Emirates, have pledged to voluntarily commit to the secure development of their cutting-edge AI models.

Framework

AI model developers who have not already done so agreed to issue safety frameworks that detail how they will address the challenges posed by their advanced models, including the prevention of technology misuse by malicious entities.

These frameworks will feature ‘red lines’ that tech companies will establish to delineate the types of risks associated with advanced AI systems that are deemed ‘unacceptable.’ These risks encompass, but are not limited to, automated cyberattacks and the potential for bioweapons.

Kill switch

In the event of such dire scenarios, companies have declared their intention to introduce a ‘kill switch’ that would halt the development of their AI models should they be unable to ensure the mitigation of these risks.

“It is unprecedented for so many prominent AI firms from diverse regions of the world to concur on identical commitments regarding AI safety,” Rishi Sunak, the UK Prime Minister reportedly said on Tuesday 21st May 2024.

He further noted that these commitments would guarantee that the world’s foremost AI companies will maintain transparency and accountability concerning their safe AI development strategies.

This agreement builds upon a prior set of pledges made in November 2023 by entities engaged in the creation of generative AI software.

The involved companies have consented to seek feedback on these standards from ‘trusted actors,’ which include their respective national governments when suitable, prior to their publication in anticipation of the forthcoming AI summit – the AI Action Summit scheduled to take place in France in early 2025.

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EU gives greenlight to the world’s first significant law on artificial intelligence

Human and humanoid

On Tuesday 21st May 2024, European Union member states reached a consensus on the world’s first significant law to regulate artificial intelligence, a move echoed by institutions globally to implement controls on the technology.

The EU Council announced it has granted final approval for the AI Act, a pioneering regulation designed to establish the first extensive framework for artificial intelligence.

The EU Commission is authorized to impose fines on companies violating the AI Act, up to 35 million euros ($38 million) or 7% of their annual worldwide turnover, whichever is greater.

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Microsoft announces new PCs with AI chips

AI art

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.

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China’s Baidu has exceeded revenue expectations, thanks to a resurgence in advertising and the expansion of its cloud services

Baidu

Baidu, one of China’s leading search engine firms, surpassed analysts’ revenue forecasts for the Q1 on Thursday 16th May 2024.

This was predominately due to a recovery in advertising revenue and a surge in demand for its AI-driven cloud products.

The company announced a revenue of 31.51 billion yuan ($4.37 billion) for the quarter ending 31st March 2024, exceeding the average analyst projection of 31.21 billion yuan, according to a latest dataset.

Shares of Baidu listed in the U.S. saw an approximate 3% increase in premarket trading.

The tech giant has been actively enhancing its sales efforts focused on AI-centric products and services.

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Google Unveils AI Chatbot Gemini 1.5 Flash as competition from OpenAI heats up

AI Chatbot Gemini

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 unveiling comes a day after OpenAI announced its newest artificial intelligence (AI) model, GPT-4o.

Google Gemini 1.5 Flash

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.

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OpenAI launches new AI model – and it talks, sees and hears!

Chatbot GPT-4o

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.

More here on the OpenAI website

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Anthropic launches Claude in Europe – its AI chatbot

AI Chatbot

Anthropic, the artificial intelligence (AI) startup backed by Amazon, reported on Monday 13th May 2024 that it’s launching its generative AI assistant Claude in Europe on Tuesday 14th May 2024.

Claude.ai will be accessible to both individuals and businesses via the web and an iPhone app. While it is already free on both platforms in the U.K., Anthropic states that this marks the product’s inaugural launch for users in the EU and non-EU nations such as, Switzerland, Norway and Iceland.

Anthropic is introducing a paid subscription-based version of its Claude assistant, named Claude Pro, which will provide users with access to all its models, including the highly advanced Claude 3 Opus.

In its announcement about launching Claude in European countries, Anthropic emphasized security and privacy as central aspects.

Earlier this year, the EU enacted the first significant global regulatory framework to govern AI.

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With a 20,000% increase over the past decade – has Nvidia’s stock peaked?

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.

Take some profit and buy again after a pull-back.

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Arm reportedly to launch AI chips in 2025 as Softbank plan AI data centres

AI

Arm, with a 90% holding by SoftBank, is reportedly set to establish an AI chip unit with the goal of developing a prototype by spring 2025.

This initiative is aimed at catching up with the booming AI market, currently dominated by Nvidia.

Arm, alongside competitors such as AMD, Intel, and Qualcomm, is accelerating efforts to gain position in the AI sector.

SoftBank is negotiating with contract manufacturers, including Taiwan’s TSMC, to produce the AI chips. Mass production is expected to commence in autumn 2025.

Arm’s shares have surged by nearly 45% this year, bringing its market capitalization to over $113 billion.

The chip designer based in the U.K., plans to create an AI chip unit to develop a prototype by spring 2025.

Discussions are reportedly ongoing with contract manufacturers like Taiwan’s TSMC for the production of the AI chips. It was reported that production is anticipated to start in fall 2025.

Arm is responsible for designing the core architecture for these chips. The company licences its designs to companies including Qualcomm and Nvidia and earning royalty fees from each sale. The company asserts that 99% of high-end smartphones utilize Arm technology.

Ambition

Established by Japanese billionaire Masayoshi Son, SoftBank is heavily investing in AI. The company has new plans to allocate $960 million by the following year to enhance its generative AI computing capabilities. In June 2023, Son expressed SoftBank’s ambition to occupy a leading role in the AI revolution.

Reportedly, SoftBank aims to establish AI data centres equipped with proprietary chips throughout the U.S., Europe, Asia, and the Middle East by 2026.

For the fiscal year concluding in March 2024, SoftBank recorded a 7.24 billion Japanese Yen ($4.6 billion) profit in its Vision Fund.

This was the first profitable year for the principal tech investment division since 2021.

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Scientists create ‘world’s purest silicon’ – it has the power to change the world

Purest silcon created

Scientists have recently achieved a remarkable breakthrough by creating pure silicon, which could pave the way for quantum computing

The world’s purest silicon

Researchers have developed an ultra-pure form of silicon, known as silicon-28 (Si-28), which is fundamental for ‘silicon-spin qubits’ in quantum computers. This advancement addresses a major challenge in quantum computing: the ‘fragile quantum coherence.’

Quantum computers tend to accumulate errors quickly due to slight environmental changes, affecting their dependability.

Quantum bits, or qubits, are analogous to classical computer bits but are extremely sensitive to environmental interference.

Technical

Current quantum computers, even when cooled to near absolute zero, can only maintain error-free operation for a very short time.

This new technique generates qubits by embedding phosphorus atoms into crystals of pure, stable silicon. A concentrated silicon beam then directs onto a silicon chip, replacing impurities with pure silicon.

As a result, the impurity levels in silicon have been significantly reduced, from 4.5% to a mere 0.0002%.

David Jamieson, a project co-supervisor from the University of Melbourne, mentioned that the team achieved this level of purity using a standard piece of equipment – an ion implanter – that’s typically found in semiconductor fabrication laboratories.

Richard Curry, a professor at The University of Manchester where extensive research took place, believes that this advancement could accelerate the development of operational quantum computers. Processes that might have taken a decade to complete could now be accomplished in potentially half that time or less.

Potential impact

Practical quantum computers have the potential to revolutionize numerous fields

  • Energy Optimization: They can solve intricate problems related to energy.
  • Artificial Intelligence: Quantum computers may significantly boost AI capabilities.
  • Drug Discovery: They could expedite drug development and molecular simulations.
  • Communication: They can enhance encryption and communication protocols.

The creation of the world’s purest silicon represents a significant step forward in the development of large-scale quantum computers.

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Arm Holdings share price drops

AI

UK chip designer Arm’s shares fell on Thursday 9th May 2024, subdued by revenue forecasts despite a strong sales quarter fueled by demand for AI applications.

Arm announced a 47% increase in fiscal Q4 revenue to $928 million on Wednesday.

This surge was propelled by its licensing business, which saw a 60% increase to $414 million for the quarter, attributed to several high-value licencing deals for AI chips.

Additionally, Arm’s royalty revenues rose 37% to $514 million year-over-year, thanks to the growing adoption of its new Armv9-based chips, which offer higher margins.

However, Arm’s revenue projection for 2025, estimated between $3.8 billion and $4.1 billion, did not meet investor expectations, with analysts anticipating $3.99 billion for the year.

What is Arm?

Contrary to chipmakers like Nvidia, which manufacture and market their own products, Arm creates the ‘architectures’ that form the foundation of chips.

These designs are then licenced to various chip manufacturers, including Qualcomm and Nvidia, with Arm earning royalties on each unit sold.

Originally founded in Cambridge, England, in 1990, Arm was an independent company listed in London until 2016, when it was acquired by Japanese tech investor SoftBank for $32 billion.

In September 2023, SoftBank listed Arm on the Nasdaq. Since its initial public offering, Arm’s share value has more than doubled, driven by the explosive demand for chips that power advanced generative AI applications, such as ChatGPT.

But this recent revenue forecast had a negative effect on its share price

Arm Holdings one year chart to 9th May 2024

The recent revenue forecast had a negative effect on its share price
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Intel shares fall after company provides weak forecast

Microchip stock chart

Intel shares fall after company provides weak forecast for earnings, but disappoints with sales.

The stock fell 8% in extended trading.

Monthly stock price chart for Intel Corp. March to April 2024

Monthly stock price chart for Intel Corp. March to April 2024

Intel actual versus consensus expectations for the quarter ended in March 2024:

Earnings per share: 18 cents vs. 14 cents expected

Revenue: $12.72 billion vs. $12.78 billion expected

For the second quarter, Intel anticipates earnings of 10 cents per share with a projected revenue of $13 billion. This projection is in contrast to analysts’ expectations, which predict earnings of 25 cents per share on sales amounting to $13.57 billion.

In the first quarter, Intel disclosed a net loss of $400 million, equivalent to 9 cents per share, as opposed to the previous year’s net loss of $2.8 billion, 66 cents per share.

Revenue was $12.7 billion versus $11.7 billion a year ago, a 9% year-over-year increase.

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Microsoft cloud growth accelerates thanks to AI

Microsoft AI

Microsoft’s Q3 results surpassed estimates for both revenue and earnings.

But the revenue forecast for Q4 was less than anticipated, with the company reportedly projecting $64 billion, which is below the consensus of $64.5 billion – (only just).

Revenue: $61.86 vs. $60.80 billion expected

Earnings per share: $2.94 vs. $2.82 expected

Additionally, Microsoft is reportedly boosting its capital expenditures to acquire Nvidia graphics processing units, which are essential for training and operating artificial intelligence (AI) models.

Microsoft one month share price chart 2024

Microsoft one month share price chart 2024
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Synthesia creates AI avatars that can convey human emotions

Avatar

AI startup Synthesia on Thursday 25th April 2024 announced its ‘Expressive Avatars’. These are AI-generated digital avatars that can express human emotions including happiness, sadness, and frustration.

Synthesia, supported by the tech giant Nvidia, reportedly secured an investment of $90 million in 2023, reaching a valuation close to $1 billion.

This video was created using the Synthesia platform, it took just two minutes to create.

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Meta loses $200 billion in value despite good profits shown in latest figures

Stock down

Meta Platforms Inc. suffered a serious loss, witnessing its market value plummet by $200 billion.

The decline happened following the company’s first-quarter earnings call, during which CEO Mark Zuckerberg highlighted the company’s substantial investments in artificial intelligence (AI) and the Metaverse, instead of concentrating on immediate revenue streams.

Despite a 27% increase in revenue to $36.46 billion and a net income that more than doubled to a $12.37 billion (rounded), investors were unsettled by the company’s projections for future expenses.

Shares dropped by 15.5% as Zuckerberg outlined expensive future projects, including the expansion of business messaging and the integration of ads into AI interactions.

Meta’s stock took a 15% hit in extended trading, bringing its market capitalization down to around $1.2 trillion, still a high valuation. This highlights the unpredictable nature of tech stocks, especially during significant, unmonetized product development stages.

Meta 1 day chart 24th April 2024

Meta 1 day chart 24th April 2024

Zuckerberg’s prioritization of long-term growth over immediate profits is a gamble, placing a bet on AI and the Metaverse to transform digital interactions.

This strategy carries considerable financial risks, as the recent market reaction has shown. Meta’s future now depends on the successful deployment and monetization of these cutting-edge technologies.

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AI energy consumption is shocking!

AI Energy Consumption

Powering artificial intelligence (AI) models takes a substantial toll on our planet’s energy resources.

Delving deeper into AI, it becomes crucial to comprehend the environmental impact of this technological revolution.

Current trends

A new peer-reviewed study featured in ‘Joule‘ highlights the significant energy requirements of AI. The research, carried out by Alex de Vries, a data scientist at the Dutch central bank, provides a quantification of the energy usage linked to the trends in AI capacity and adoption.

The energy appetite of AI

The AI industry is experiencing rapid growth as major technology companies incorporate AI-driven services into their platforms. These applications require significantly more power than traditional ones, resulting in online interactions that are more energy-intensive.

Projected impact

Continuing on the present course, NVIDIA could be dispatching 1.5 million AI server units each year by 2027. If these servers were to run at maximum capacity, they would consume a minimum of 85.4 terawatt-hours of electricity annually. For comparison, this amount of energy surpasses the yearly consumption of numerous small nations.

Comparisons

By 2027, it is projected that global AI-related electricity consumption may rise by 85 to 134 terawatt-hours (TWh) annually. This estimate is on par with the yearly electricity requirements of nations such as the Netherlands, Argentina, and Sweden.

Why sustainability matters

While AI heralds significant breakthroughs, its sustainability is a crucial risk factor to consider. Picture Google’s search engine evolving into a ChatGPT-style chatbot, managing nine billion interactions daily. This would cause energy demands to soar, matching the consumption of a nation like Ireland. Although this scenario isn’t immediately likely due to logistical limitations, it highlights the resource-intensive nature of generative AI applications.

As we explore the AI domain, sustainability should not be neglected. Discussing AI’s risks, such as errors and biases, should also include its environmental impact. Innovation must be balanced with responsible energy use for a sustainable future.

Conclusion

In essence, AI’s demand for power is substantial, and the challenge is to leverage its capabilities while reducing its environmental impact. We must proceed with caution to ensure our technological advances do not compromise the health of our planet.

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Meta’s new AI Chatbot has arrived

Meta announces new Chatbot assistant

Meta’s complimentary artificial intelligence (AI) assistant, known as Meta AI, is being introduced across its social media platforms, including WhatsApp, Instagram, Facebook, and Messenger.

The assistant is reportedly designed to respond to queries, craft animations, and produce ‘high-quality’ images, according to Meta CEO Mark Zuckerberg in a recent video posting.

Zuckerberg also noted that the company has integrated ‘real-time knowledge’ from Google and Microsoft’s Bing to enhance the assistant’s responses.

The development of Meta AI is based on the company’s most advanced large language model, Meta Llama 3, which was unveiled on the same day – Thursday 18th April 2024.

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Nvidia enters correction territory as stock falls from all-time high

AI

Nvidia, manufacturer of one of the most advanced graphics processing units (GPUs), has significantly benefited from the artificial intelligence (AI) surge due to the high demand for its microchips.

The company’s shares have fallen 10% from their recent all-time high, which was over $950. On Tuesday, 9th April 2024, the stock closed at $853.54, but it saw a slight recovery on Wednesday 10th April 2024, to $870.39.

Nvidia Corporation share price off recent all time high

Nvidia Corporation share price off recent all time high

On Tuesday, 9th April 2024, Intel, a competitor in the chipmaking industry, introduced a new AI chip named Gaudi 3. This chip is designed to drive large language models and stands as a contender against Nvidia’s most sophisticated chips.

U.S. inflation data coming in higher than expected along with a climb in treasuries has led to doubts of a Fed rate cut anytime soon.

These concerns combined together, pushed Nvidia and some other tech stocks lower.

The Nasdaq Composite drifted lower on the day

The Nasdaq Composite drifted lower
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GEN AI – The AI ‘generation’

AI Generation

The Generation AI: How the next wave of young innovators will shape the future

Artificial intelligence (AI) is not only a technology that is transforming the world, but also a culture that is inspiring the next generation of young innovators.

The Generation AI is a term that refers to the children and teenagers who are growing up with AI as a natural part of their lives, and who are using it to express their creativity, solve problems, and pursue their passions. 

Generation AI is different from the previous generations in many ways. They are more diverse, more connected, more curious, and more entrepreneurial. GEN AI are also more aware of the social and ethical implications of AI, and more eager to use it for good. They are not just passive consumers of AI, but active creators and collaborators. 

The Generation AI is already making an impact in a variety of domains and industries.

Education

Generation AI is learning with and from AI, using it to enhance their learning experiences, personalise their curricula, and access global resources. They are also teaching AI, using it to share their knowledge, mentor their peers, and build their portfolios. For example, CodeGPT is a platform that allows students to learn coding with AI, and to create their own AI projects. 

Healthcare

The Generation AI is improving their health and well-being with AI, using it to monitor their fitness, nutrition, and mental health, and to access reliable and personalized health information and services. They are also contributing to the health of others, using AI to support health research, diagnosis, and treatment. For example, Cureskin is an app that uses AI to detect and treat skin conditions. 

Entertainment

The Generation AI is enjoying and creating entertainment with AI, using it to discover and consume content that suits their tastes, preferences, and moods, and to generate their own content, such as music, art, games, and stories. They are also engaging and interacting with AI, using it to play, chat, and socialise with others.

For example, OpenART, Microsoft Copilot, Stable Diffusion or PopAI and OpenAI’s ChatGPT are just a small selection of generative AI systems that can create realistic and diverse images from text descriptions.  The Generation AI is not only the future of AI, but also the future of humanity.

They are the ones who will shape the direction and impact of AI, and who will benefit from its opportunities and challenges. They are the ones who will unleash the full potential of AI, and who will make the world a better place a discerned use of AI.

Note: apps mentioned in this article are not recommendations. They are just for reference only.

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Generative AI: A New Frontier of Creativity and Innovation

AI generated art

Generative Artificial Intelligence

Artificial intelligence (AI) is not only a powerful tool for solving problems but is also a source of creativity and innovation.

Generative AI is a type of AI that can create new and realistic content, such as images, text, music, software, and product designs, by learning from existing data and generating novel outputs that reflect the characteristics of the training data but do not repeat it. 

Gen AI uses various techniques, such as deep neural networks, transformers, and generative adversarial networks, to model the complex patterns and structure of the input data and produce diverse and high-quality outputs.  Generative AI can also respond to natural language prompts, allowing users to interact with the system and specify their desired outcomes. 

Generative AI has many potential applications across different domains and industries.

Software development

GAI (Generative AI) can help developers write code faster and easier by generating suggestions, corrections, or completions based on the context and the user’s intent. For example, Copilot is a generative AI system that can assist developers with coding tasks by learning from billions of lines of code. 

Healthcare

Generative AI can help researchers discover new drugs, treatments, or vaccines by generating novel molecules, proteins, or antibodies that have the desired properties and functions. For example, Insilico Medicine is a company that uses generative AI to design new drugs for aging and age-related diseases.

Entertainment

Generative AI can help artists, musicians, writers, or filmmakers create original and engaging content by generating images, sounds, text, or video that match their style and preferences. For example, Stable Diffusion is a generative AI system that can create realistic and diverse images from text descriptions.

Customer service

Generative AI can help businesses provide better and more personalised service to their customers by generating natural and human-like responses, recommendations, or solutions based on the customer’s needs and preferences. For example, ChatGPT is a generative AI chatbot that can have very human-seeming interactions with users.

Unlocking potential or unleashing the ‘genie’?

Generative AI is a new frontier of creativity and innovation that can unlock new possibilities and opportunities for humans and machines.

Unlocking potential or unleashing the ‘genie’?

However, generative AI also poses some challenges and risks, such as ethical, legal, social, and security issues, that need to be addressed and regulated. Therefore, it is important to develop and use generative AI responsibly and ethically, with respect for human values and dignity. 

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Tesla’s robot-taxi is coming!

Robot Taxi

The CEO of Tesla, Elon Musk recently made an announcement regarding the company’s robotaxi.

According to his social media post on X, Tesla will unveil its robotaxi product on 8th August 2024. This project has been a topic of discussion for several years and could potentially represent a significant new business venture for Tesla. 

The robotaxi initiative aims to allow Tesla vehicles to use self-driving technology for autonomous ride-hailing services, picking up passengers without human intervention.

Previous predictions

Elon Musk has made bold predictions regarding the timeline for robotaxis. In 2019, he anticipated having over a million robotaxis in operation by 2020. Currently, Tesla’s advanced driver-assistance systems, such as Autopilot and the premium Full Self-Driving option, still necessitate human oversight.

Nonetheless, amidst the competitive landscape of autonomous vehicles, Tesla remains steadfast in its pursuit of a fully autonomous future.

Tesla One year Chart

Tesla one year chart

Mass production?

Musk stated that a robotaxi model lacking a steering wheel or pedals is expected to enter mass production by 2024. The aim is to make the cost of a journey in the Tesla robotaxi lower than that of a public bus or underground train ticket.