OpenAI is going head to head with Google while Meta championing the Open Source AI.

?? OpenAI Announces SearchGPT, Its AI-Powered Search Engine

OpenAI has unveiled SearchGPT, a new AI-powered search engine designed to provide real-time access to information across the Internet. This innovative tool, aimed at rivaling Google and Perplexity, is initially available as a prototype in limited release. Plans are to integrate it into ChatGPT in the future.

Key Features of SearchGPT

• Real-Time Information: Provides up-to-date information across the web, organizing and summarizing search results.
• Interactive Queries: Users can ask follow-up questions and explore related links through a sidebar.
• Visual Answers: Includes features for visual responses, such as AI-generated videos and images (specific details pending).

Availability and Initial Access

SearchGPT is currently available as a prototype to 10,000 test users. OpenAI spokesperson Kayla Wood mentioned that the GPT-4 family of models powers the service. The company is working with third-party partners and using direct content feeds to build its search results, aiming for eventual integration into ChatGPT.

Future Prospects

OpenAI's SearchGPT marks a significant step toward challenging established search engines like Google, which has been incorporating AI features into its services to stay competitive. The prototype release allows OpenAI to refine the search engine based on user feedback and performance. As AI technology advances, tools like SearchGPT will likely become essential for improving user interactions and providing more intuitive search experiences. OpenAI's collaboration with news partners and emphasis on proper content attribution aims to address previous criticisms of AI-driven search engines, setting a new standard for ethical and effective AI use in the search industry.

I am thrilled to announce that I’m starting a new position as Chief Executive Officer at Generative AI !

Our mission to revolutionize AI education aligns perfectly with my passion for technology and my commitment to empowering individuals through knowledge.

Join us on this exciting journey to build the world's largest AI community :

We are proud to share that we have just reached 7 million followers on social media platforms! ??

?? Nvidia Begins Delivering Latest AI Chips to Indian Partners for AI Cloud Infrastructure

US-based AI chip giant Nvidia has started delivering its latest AI chips, such as the GH200 AI, to Indian partners, including Tata Communications and Jio Platforms, who are building AI-cloud infrastructure in the country.

Deployment and Partnerships

Nvidia's managing director of South Asia, Vishal Dhupar, confirmed ongoing deployments with Indian partners, ensuring timely delivery despite concerns about delays. In September, Nvidia announced partnerships with Reliance and Tata group companies to develop AI-powered supercomputers, AI clouds, and generative AI applications. Tata Communications MD and CEO AS Lakshminarayanan confirmed the receipt and installation of some chips.

Hiranandani Group’s Yotta Data Services received the first tranche of 4,000 GPUs in March and plans to scale up to 32,768 units by the end of 2025.

GH200 Grace Hopper Platform

Named after pioneering computer scientist Grace Hopper, the GH200 platform integrates cutting-edge technologies for AI, high-performance computing (HPC), and data analytics, offering exceptional performance and efficiency.

Nvidia's Strategic Focus

Dhupar emphasized Nvidia’s focus on creating new markets and solving hard problems through collaborations in India. Nvidia is not chasing market share but aims to develop markets that benefit the economy. "We want to solve problems that impact people and the economy, creating markets and industries," Dhupar said.

Competitor Landscape

Intel's managing director for the India region, Santhosh Viswanathan, recently criticized Nvidia for delays and promoted Intel's Gaudi 3 AI chip as a faster alternative. Intel has commercial deals with Bharti Airtel, Infosys, and Ola/Krutrim to deploy Gaudi accelerator solutions in India.

Nvidia, Intel, and AMD are looking to collaborate with the Indian government on its AI mission. Under the Rs 10,732-crore IndiaAI Mission, the government aims to create AI computing infrastructure and make at least 10,000 GPUs available by March 2026.

Nvidia's Broader Initiatives

Nvidia also engages India's creator economy, offering advanced GPU chips like the GeForce RTX 40 Series and validated Studio PCs. The company runs programs to promote AI adoption, support startups, and provide AI training through the Inception Programme and other initiatives. Nvidia has partnered with academic institutions, such as Thapar Institute of Engineering & Technology, to offer academic programs with technical support from the Nvidia AI University program.

Nvidia’s continued investment in AI infrastructure and partnerships in India underscores its commitment to solving complex problems, fostering economic growth, and supporting regional innovation.

?? Intel Accelerates AI Everywhere ??

Top Highlights:

1?? Launch of Intel? Xeon? 6 processors with Efficient-cores for high-density, scale-out workloads.

2?? Introduction of Lunar Lake client processor architecture for AI PCs, delivering up to 40% lower SoC power.

3?? Intel? Gaudi? 3 accelerators deliver significant performance improvements and cost savings for AI training and inference.??Learn more here https://intel.ly/3X2FzH1

??Omegas AI to Revolutionize Olympics

From Start to Finish, Every Moment Measured and Analyzed ????

Omega, the official timekeeper of the Olympic Games, is about to change the game ?? with its mind-blowing AI technology! ?? The watchmaker's Swiss Timing division is taking sports analytics to a new level ?? by tracking athletes with insane precision. ??

Every move, every jump, every stroke is captured and analyzed in real-time! ?? This means coaches can make smart decisions on the fly, and fans experience the action like never before. ??

Key innovations for Paris 2024 include:

• Real-time performance analysis: Instant feedback for athletes and coaches! ??
• Predictive analytics: Who will win? AI knows! ??
• Immersive storytelling: Get ready to be blown away by the visuals! ??
• Lifelike athlete avatars: Watch your favorite athletes come to life! ??

Omega is not just timing the games; they're rewriting the rules!?

???Video Game Industry Hit by Strike as AI Tensions Boil Over

The video game industry faces a major upheaval as SAG-AFTRA, the union representing voice and motion-capture actors, has announced a strike effective Friday. The decision comes after months of tense negotiations with major gaming companies over the growing threat of AI to actor livelihoods.

While progress has been made on other fronts, including significant wage increases and improved safety measures, the issue of AI has proven to be an insurmountable hurdle. SAG-AFTRA is demanding robust protections to prevent the unauthorized use of actors' likenesses and voices for AI training and generation.

The union argues that AI seriously threatens job security and fair compensation for actors. They fear that studios could use AI to replace human performers, undermining their ability to earn a living.

Conversely, video game companies maintain that they have offered substantial AI protections, including requiring consent and fair compensation for all performers. They express disappointment with the union's decision to leave the negotiating table.

The strike is expected to significantly impact the video game industry, with potential delays in game releases and disruptions to production schedules. As the standoff between actors and studios deepens, the question remains: Will this strike be the catalyst for a broader reckoning over the role of AI in the entertainment industry?

??Meta Introduces Llama 3.1: Open-Source AI’s Next Big Leap

Meta’s latest release, Llama 3.1, is already making waves! Much like the shift from proprietary Unix systems to the now-ubiquitous open-source Linux, AI is on the cusp of a similar transformation.

Historically, tech giants developed their own closed-source Unix versions, believing proprietary software held the key to high performance. Yet, Linux, an open-source OS, eventually surpassed these in versatility, security, and functionality. Today, Linux is the backbone of cloud computing and most mobile operating systems, showcasing the power and potential of open-source development.

AI is now expected to follow this path. Although leading companies initially advanced with closed models, open-source alternatives are quickly catching up. Llama 2 trailed behind the frontier models, but Llama 3.1 is now highly competitive. The latest Llama 3.1 models, including the 405B, 70B, and 8B versions, offer superior cost-performance ratios and remain open, ideal for fine-tuning and creating smaller models.

Key Features of Llama 3.1

• Models: 405B, 70B, and 8B versions
• Performance: Competitive with the latest advanced models
• Cost-Effectiveness: Superior cost/performance ratio
• Open-Source: Ideal for fine-tuning and model distillation

Meta's collaboration with industry leaders such as Amazon, Databricks, and NVIDIA is crucial in supporting developers to fine-tune and deploy these models. Available on all major cloud platforms, enterprises can leverage services from Scale AI, Dell, and Deloitte to adopt and customize their AI solutions. Meta's dedication to open-source AI aims to position Llama as the industry benchmark, democratizing AI benefits.

Benefits of Open Source AI

• Customization
• Avoiding Vendor Lock-In
• Data Protection
• Efficiency and Affordability

Open-source AI promises broader accessibility, fostering innovation and economic growth. It encourages a safer AI environment through transparency and community scrutiny. While there are concerns about potential misuse, a balanced approach where major entities counter smaller threats is seen as a viable strategy.?

??Exciting new AI features announced for fan favorites - Amazon Prime Video and Bing Search!

Incorporating artificial intelligence (AI) features has become essential for businesses to stay competitive and relevant. From enhancing user experience to streamlining navigation, AI is remodeling how we interact with digital platforms. Two major players, Amazon Prime Video and Bing Search Engine, have recently added AI features to their services, aiming to provide users with more intuitive and personalized experiences. Here's a closer look at the latest AI advancements from these industry giants.

Amazon Prime Video

Amazon Prime Video is leveraging generative AI to simplify and enhance its user interface. This update aims to create a cleaner, more intuitive streaming experience for its global audience, which will roll out over the coming weeks.

Key Features:

• Enhanced Navigation Bar: The new AI-powered navigation bar allows users to browse by content type, manage active add-on subscriptions, and access content included with a Prime membership more easily.
• Personalized Recommendations: Using generative AI, Amazon promises more relatable content recommendations, enabling users to spend more time watching and browsing less.
• Universal Accessibility: The updated interface will benefit even users with older devices, ensuring a consistent experience across different hardware.

Additionally, the company is reportedly working on an AI chatbot to rival OpenAI's ChatGPT, which could further enhance interaction and support on the platform.

Bing Search Engine

Microsoft's Bing Search Engine transforms its search experience by placing AI-generated answers at the forefront while traditional search results take a backseat. This feature, currently rolling out for select queries, aims to provide comprehensive, summarized answers that address various aspects of user questions.

Key Features:

• Centralized AI Summaries: For queries like "What is a spaghetti western?", Bing now provides a detailed summary, complete with bullet points highlighting key characteristics of the genre.
• Expanded Information: Beyond the initial summary, users can find related videos, charts of influential movies, and detailed genre histories—all within a single search page.
• Integrated Sources: Microsoft ensures transparency by listing sources beneath each AI-generated section, maintaining the credibility of the information provided.

The new Bing search layout combines large and small language models to understand queries, review millions of information sources, and dynamically generate relevant content. Despite initial concerns about the impact on search traffic, Microsoft reports that the new layout maintains click-through rates and supports a healthy web ecosystem.?

One can only hope that Bing can overcome Google Overview’s disastrous introduction and provide a much better and safer user experience!

As AI continues to evolve, we can expect even more innovative features to make our digital interactions smoother and more enjoyable.

???? Mistral’s Large 2: Answer to Meta and OpenAI’s latest models

Paris-based AI startup Mistral released Large 2, an AI model challenging OpenAI and Meta with fewer parameters but promising better performance. Mistral emphasized improving Large 2's accuracy, training it to be more cautious and reduce hallucinations compared to typical AI models. The details:

• Parameter Efficiency: Large 2 has 123 billion parameters, significantly fewer than Meta's Llama 3.1 (405 billion), yet excels in code generation and maths.

• Enhanced Features: It boasts a 128,000-token context window and supports 12 languages and 80 coding languages.

• Platform Availability: Large 2 is available on Le Chat for free trials, and on Google Vertex AI, Amazon Bedrock, Azure AI Studio, and IBM watsonx.ai . Commercial use requires a paid license.
• Limitations: Not multimodal like Google’s Gemini and OpenAI’s GPT-4o.

Mistral Large 2 impresses with GPT-4-level performance despite being just one-third the size of Llama 3.1 405B. It excels in Python and TypeScript, making it valuable for developers using these languages. The model also performs well in Java and PHP. With benchmarks comparable to GPT-4, it's a significant contender in the AI space.?

?? Kling AI Goes Global with Advanced Features

Source: Kling Kling AI, from Chinese tech giant Kuaishou Technology, has launched globally, offering high-quality video generation to users worldwide. Kling AI has expanded its accessibility, removing the previous requirement for a Chinese phone number.?

The Details:

• Kling can generate up to 2-minute videos, but the global version is limited to 5-second clips, with 66 free daily credits and each generation costing 10 credits.
• It uses advanced 3D reconstruction for natural movements and accepts prompts up to 2,000 characters, supporting both text-to-video and image-plus-text-to-video generation.
• Registration requires only an email, and users can choose between 960x960 square, 720p landscape, and 720p portrait resolutions, with camera control options like static, horizontal, vertical, pan, tilt, and rolling movements.
• Kling supports multilingual prompts, yielding high-quality results in English and Mandarin, and allows adjustments between creativity and relevance, with the use of negative prompts for better accuracy.

Since its limited launch on June 6, Kling has received over one million applications, granting early access to 300,000 users; it now offers three subscription tiers for mainland China, providing varying levels of access and credits for video generation. Despite the five-second limit for global users, anyone can now create high-quality videos, putting pressure on OpenAI to release its highly anticipated Sora.

??MIT's AI: Breakthrough in Breast Cancer Detection

Scientists at MIT and ETH Zurich have engineered an innovative AI system capable of discerning various phases of ductal carcinoma in situ (DCIS), a precancerous breast condition, using basic tissue imagery.

Key Findings:

• The AI analyzes chromatin patterns from 560 tissue specimens (spanning 122 patients), uncovering 8 distinct cellular states across DCIS progression.
• It examines both cell composition and spatial distribution, highlighting the critical role of tissue structure in forecasting disease advancement.
• Intriguingly, cell states linked to invasive cancer were observed even in apparently healthy tissue.

This approach could broaden access to advanced breast cancer screening, offering a cost-effective and swift method to gauge DCIS risk. While the model still requires thorough clinical evaluation, it points to a future where AI complements pathologists' expertise, potentially improving early detection and diagnostic accuracy.

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