Google Release Updates On The Gemini AI: What to know
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Following a controversial image generated by its AI model, Google has released two updates to address the inaccurate imagery. Gemini is Google’s latest artificial intelligence multimodal large language model.
Updating Gemini’s Features
On February 20 and 21, Gemini’s system underwent considerable upgrades. The initial upgrade applied to Gemini Advanced allowed for direct editing and execution of Python code snippets within its user interface.
Users with the advanced edition can perform hands-on experiments with Python-based code. Thus, they can observe its operation before deploying it, increasing efficiency and code dependability.
The second update was for Gemini’s business and enterprise objectives, incorporating Google’s cutting-edge 1.0 Ultra model. This model includes enterprise-grade data privacy, preventing Gemini models from using conversations for training. Meanwhile, these latest advancements also saw Google rebrand its chatbot from Bard to Gemini.
Uproar Over Gemini’s Image Inaccuracies
Nonetheless, neither upgrade addressed any changes to Gemini’s image output. Recently, there was considerable outrage on social media owing to the “woke” artwork produced with the Gemini model that resulted in erroneous depictions of historical events.
Jack Krawczyk, a Google developer working on Gemini AI, posted on X to address the matter. He claimed the company knows Gemini’s inclination to produce mistakes in historical picture generation depictions. However, he assured his followers that the development team was actively working to implement immediate fixes to these mistakes.
Nevertheless, the social media community was dissatisfied with Gemini’s persistent image inaccuracies. A Google developer tweeted that they have never felt so uneasy about their relationship with the corporation. Another social media user pointed out that the widely used AI chatbot ChatGPT, produced by OpenAI, makes similar mistakes.
Double-Digit Gains For AI Tokens
Despite a broader market decline, several AI crypto tokens and traditional stocks increased in value on February 21. Notably, the prices of the most popular AI crypto tokens doubled within the last month.
The price of Ethereum-based network Render (RNDR), which enables decentralized graphics processing unit rendering, rose by more than 23% in the past 24 hours. Similarly, The Graph (GRT), an indexing technology designed for quick querying of blockchain data, gained 18.9% within the same period.
In addition, Fetch.ai (FET) grew by 16.9%, while SingularityNet (AGIX) increased by 42.4%. Also, the increase in AI token values coincided with the most incredible weekly trade volume in a year, spurred by OpenAI’s introduction of Sora, a text-to-video tool, last week.
The Nvidia Effects
Nvidia announced revenues of $22.1 billion, exceeding Wall Street’s estimate of $20.4 billion. Notably, the chipmaker’s AI data center income increased fivefold in January compared to the same month in 2023.
While commenting on the report, Jensen Huang, Nvidia’s CEO, admitted that the global surge in demand for generative AI impacted the firm’s growth in sales and revenue. With a market value of $1.67 trillion, Nvidia has surpassed Tesla to become the world’s most traded company.
The excellent success of Nvidia’s AI subsidiaries positively impacted the AI cryptocurrency market and AI-focused stocks, causing their prices to reach new highs. Hence, it is no surprise that Taiwan Semiconductor Manufacturing Company (TSMC), Nvidia’s primary supplier and the world’s largest contract chipmaker, saw its stock price rise 2.05% during morning trade on February 21.
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