🌠 Meta AI supremacy: A game changer 

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Here today’s menu:

• China's AI Revolution Hits a Speed Bump 🚧 🚗

• 🌠 Meta AI supremacy: A game changer

• Brainless 🤖 robot can navigate complex obstacles

• 💸 Funding updates

• 4 AI tools🛠 to supercharge your productivity

• Fun with A.I. & A.I. generated image🎉

3-Min Read

AI News

🌠 Meta's AI Supremacy: A Game-Changer Set to Eclipse OpenAI's GPT-4!

Meta Aims to Unleash a Game-Changing AI, Potentially More Powerful Than GPT-4, Coming in 2024

According to a report in the Wall Street Journal, Meta's new AI system will help companies develop sophisticated text analysis and other services. The new AI model is expected to be several times more powerful than the company's last AI system, Llama 2, which was released just two months ago.

Meta plans to train the new model using its own infrastructure. Meta is currently in the process of acquiring Nvidia's H100s chips for AI training, and is building data centres to help train the model.

Let's see what the future holds in the AI world. Whatever happens, it's bound to be spectacular. Buckle up and join us on this exciting AI journey

Read full article on Mint

AI NEWS

China's AI Revolution Hits a Speed Bump 🚧 🚗

Chinese AI Startups Struggle due to Unclear Rules, Chip Shortages, and Slow Economy

Chinese startup founders like Zhang Haiwei find it nearly impossible to compete in building their own large language models (LLMs) due to the high cost and fierce competition from established internet giants like Baidu and IFlyTek.

Many Chinese startups, including Zhang's motion-capture company Chingmu, are turning to OpenAI's pre-trained models to analyze human and object movements, as the AI sector faces challenges such as a lack of clear revolutionary applications and shortages of essential graphics processing units (GPUs).

Developing AI models in China is more challenging than in the US due to differences in data accessibility

China's unique internet landscape, characterized by a transition from no internet to app-based platforms, makes it difficult to acquire the large-scale, open web data that American companies have relied on for AI model development.

Read full article on wired

Research

🤖 Brainless robot can navigate complex obstacles

Researchers who created a soft robot that could navigate simple mazes without human or computer direction have now built on that work, creating a 'brainless' soft robot that can navigate more complex and dynamic environments.

Jie Yin, associate professor of mechanical and aerospace engineering at North Carolina State University. " says "We've developed a new soft robot that is capable of turning on its own, allowing it to make its way through twisty mazes, even negotiating its way around moving obstacles. And it's all done using physical intelligence, rather than being guided by a computer."

Physical intelligence refers to dynamic objects -- like soft robots -- whose behavior is governed by their structural design and the materials they are made of, rather than being directed by a computer or human intervention.

If you want to understand full concept of this robot how its work what technology use in this so read full article

Read full article on Science daily 

🛠4 AI TOOLS : supercharge your productivity

Go charlie :-Charlie helps entrepreneurs and enterprises create content that performs.

Marketing blocks :- AI generates high-level human-like marketing assets (copy, design, video, graphics, etc) 🧿

Bing chat :- a AI chat bot 🤖

Orimon :- Enrich with our sales-focused generative AI-powered platform to create contextual sales conversations and close more leads🏹 

💸 Funding wrap up

Google.org $20 million funds for think tanks and academic institutions developing AI expertise

Google’s charitable arm Google.org is establishing a $20 million fund that will provide grants to think tanks and academic institutions developing AI expertise

Google.org director Brigitte Hoyer Gosselink, “AI has the potential to make our lives easier and address some of society’s most complex challenges — like preventing disease, making cities work better, and predicting natural disasters. But it also raises questions about fairness, bias, misinformation, security, and the future of work.”.

Read full article on Techcrunch

Fun with AI 🎉

Prompt by ChatGPT 🥳

Today’s AI art 🤖