Nvidia Hits USD 2 Trillion Market Value in AI Driven

The significant milestone followed a robust revenue forecast, leading to a record-breaking $277 billion increase in market value on Thursday, the largest single-day gain on Wall Street.

Nvidia’s remarkable growth in the past year draws comparisons to the suppliers of tools during the 1800s gold rush, as its chips are utilized by major generative AI players like OpenAI and Google.

Also Read: Nvidia Hits USD 2 Trillion Market Value in AI Driven

Surging from $1 trillion to $2 trillion in market value in just around nine months, Nvidia achieved this feat faster than any other US company and in less than half the time it took tech giants Apple and Microsoft.

“For AI companies today – the leaders of the sector – what’s going to be binding for them is not going to be demand. It’s just going to be their capacity to answer the surging demand,” said Ipek Ozkardeskaya, senior analyst at Swissquote Bank.

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By harnessing the unique characteristics of individual atoms and elementary particles, these computers can handle and process information in a completely different manner compared to traditional computers. This paves the way for innovative algorithms and solutions.

Unveiling the Tomorrow of Quantum Computing

Even though today’s quantum computers are still small and prone to errors, they’ve made significant strides in the last ten years. Ongoing investments from both governments and private sectors promise even more breakthroughs.

As per Unveiling the Tomorrow of Quantum Computing, Over the past year, notable advancements include a thousand-fold increase in the duration that information can be preserved, substantial improvements in algorithmic performance and error correction, and the introduction of the first quantum computer with over 1000 quantum bits. What was once just a theoretical concept is steadily becoming a practical reality.

In this week’s episode of the TechTank Podcast, co-host Darrell West explores the future and capabilities of these potent quantum computers. To help understand these groundbreaking machines, Darrell West is joined by Joseph Keller, a visiting fellow in the Foreign Policy program’s Strobe Talbott Center for Security, Strategy, and Technology at Brookings.

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The initial version, Gemini 1.5 Pro, is already out for testing. Sundar Pichai, Google’s CEO, shared in a blog post that 1.5 Pro matches the quality of 1.0 Ultra but uses less computing power.

Sundar Pichai Unveils Advanced Gemini Ultra: Gemini AI

Pichai highlighted the smarter features of Gemini 1.5, emphasizing its ability to comprehend a vast amount of information simultaneously. The model can now handle up to 1 million pieces of information at once, a remarkable improvement.

Also Read: Sundar Pichai Unveils Advanced Gemini Ultra

Google’s CEO mentioned that this allows 1.5 Pro to process extensive data, including one hour of video, eleven hours of audio, codebases with over 30,000 lines, or more than 700,000 words. In their research, Google successfully tested up to 10 million tokens.

What can Gemini 1.5 Do?

Gemini 1.5 employs a new Mixture-of-Experts (MoE) architecture, praised by Demis Hassabis, CEO of Google DeepMind, for its efficiency. The MoE architecture uses only the necessary parts of the model’s brains for the task at hand, making it work better and faster.

Hassabis explained in a blog post that these advancements in model architecture enable Gemini 1.5 to learn complex tasks more quickly and maintain quality while being more efficient to train and serve. Google’s teams are benefitting from these efficiencies, allowing them to iterate, train, and deliver more advanced versions of Gemini faster than before.

Also Read: Sundar Pichai Unveils Advanced Gemini Ultra

During testing, Google presented the Gemini 1.5 Pro model with a 44-minute silent movie, and it reportedly accurately analyzed plot points, events, and even small details that might be overlooked.

How can you use Gemini 1.5?

Currently, Gemini 1.5 is accessible only to developers and enterprise users. Google has not disclosed when and how it will be made available to the public. However, in its announcement blog, Google assured its commitment to responsibly bringing each new Gemini model generation to billions of people, developers, and enterprises worldwide.

Google mentioned that when releasing Gemini 1.5 Pro to a broader audience, it will have a standard context window of 128,000 tokens. The company plans to offer different pricing levels, starting with the standard window size and going up to 1 million tokens as they improve the model.

During the testing phase, early users can try out the 1 million token window for free, but Google cautions that response times may be longer with this new feature.

Also Read: Sundar Pichai Unveils Advanced Gemini Ultra

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He stressed the power of compact, decisive teams that prioritize quality and agility over bureaucratic structures and average performance, stating, “Innovation is easier with small teams making decisive, concentrated bets, who don’t tolerate mediocre performers.”

Recipe for Startup Success of Sam Altman: OpenAI CEO

Altman argued that large teams, while offering diverse perspectives, often face challenges such as slow decision-making and a loss of focus due to internal politics and conflicting agendas.

Aligning with current trends in the startup landscape, Altman’s philosophy encourages a lean and agile approach. This involves continuous experimentation, a sharp focus on customer needs, and the presence of nimble teams capable of quick decision-making.

This mindset is reflected in the recent wave of layoffs across major tech companies in 2024, where streamlining operations has become a priority. In just two months, over 34,000 employees were laid off across tech giants like Google, Amazon, Meta, and others.

Also Read: Recipe for Startup Success of Sam Altman

Altman not only advocates for small teams but also emphasizes the importance of decisiveness and a culture of high performance. He insists that mediocre performers cannot be tolerated, underscoring the need to attract and retain top talent capable of consistently delivering exceptional results.

While Altman’s emphasis on ruthlessness may seem stringent, he believes it is crucial for startups to navigate intense competition and constant disruption in today’s markets.

Altman’s remarks serve as a wakeup call for startups, urging them to move away from cumbersome structures and embrace the effectiveness of small, decisive, and high-performing teams. It’s a call to prioritize agility, experimentation, and an unwavering commitment to excellence. In the dynamic world of startups, only the most determined innovators emerge victorious.

Also Read: Recipe for Startup Success of Sam Altman

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Deploys New AI Tool for Tailored Ads on Disney Hulu: Tech Updates

This tool utilizes AI and machine learning to analyze and tag scenes in its content library, identifying content, brands, images, and mood. Advertisers can then use these descriptive tags (metadata) to personalize their messages based on specific scenes or moods within a movie or TV series.

Geoffrey Calabrese, Chief Investment Officer of Omnicom Media Group, expressed the significance of moving beyond broad demographics and connecting with specific audiences through the use of “magic words.” Omnicom is among the six global advertising companies participating in the early beta test of this advertising product, along with Dentsu, GroupM, Horizon Media, IPG Mediabrands, and Publicis Media.

Also Read: Deploys New AI Tool for Tailored Ads on Disney Hulu

Rita Ferro, Disney’s Global Head of Ad Sales, highlighted that this feature enables advertisers to maximize the impact of their messages by resonating with concepts that viewers experience. This move by Disney reflects the industry trend of advertisers shifting away from traditional TV towards streaming platforms. Disney’s investment in streaming ad technology aligns with changing viewer behavior, as seen in the decline of traditional TV viewership.

Disney’s CEO Bob Iger stated that the ad-supported version of Disney+ has attracted over 1,000 advertisers in the first quarter, marking a significant increase from its launch. The company’s commitment to evolving technology positions its streaming portfolio as a premier destination for brands in the years to come.

Joe Earley, President of Disney’s Direct-to-Consumer Business, emphasized Disney’s extensive experience in refining ad technology specifically tailored for streaming, with Hulu having pioneered ad-supported streaming since 2008. Disney+ is positioned to be a leading force in the streaming landscape, offering both ad-supported and premium subscription options.

Also Read: Deploys New AI Tool for Tailored Ads on Disney Hulu

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Google Launches Gemini Advanced 2 Month Free Trial: Google

During the quarterly earnings call, Google CEO Sundar Pichai confirmed the launch of Gemini Advanced, emphasizing its enhanced capabilities in reasoning, following instructions, coding, and creative collaboration. The subscription, part of the Google One AI Premium plan, is bundled with Google One, providing users with additional benefits and 2TB of cloud storage space.

Gemini Ultra, featured in Gemini Advanced, offers advanced functionalities such as creating step-by-step instructions, generating quizzes, engaging in discussions, and serving as a personal tutor for academic guidance. Proficient in advanced coding, it assists users in generating, analyzing, editing, and debugging complex coding tasks. For digital creators, Gemini Advanced provides content generation, trend analysis, and ideas for audience engagement and growth.

Also Read: Google Launches Gemini Advanced 2 Month Free Trial.

Gemini (trained on Gemini Pro) and Gemini Advanced are accessible on the website and Android app, while iOS users can experience the AI assistant through the Google app. The monthly subscription fee for Gemini Advanced is Rs. 1,950, but Google is currently offering a two-month free trial as part of a promotional offer.

In addition to the subscription tier launch, Google officially renamed Bard to Gemini, aligning with its advanced technology. According to Pichai, “Bard will now simply be called Gemini,” reflecting the core capabilities of the AI model.

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