🔥 Adobe IGNITES AI video revolution

Welcome, AI enthusiasts

Adobe is introducing astonishing generative AI video capabilities to Premiere Pro that could change the game for professional video editing. We’ve included a video for you to see the new magical possibilities. In other news, a new player in town called Reka is introducing their new AI model that competes with GPT-4, while Intel and the Linux Foundation lead an initiative for interoperable, enterprise-focused AI. Let's dive in! 

In today’s insights:

• Adobe Revolutionizes Video Editing

• Reka's New Multimodal AI that competes with GPT-4

• “Open AI” for Enterprise Unveiled

Read time: 4 minutes

🗞️ LATEST DEVELOPMENTS

ADOBE
🎬 Adobe Revolutionizes Video Editing

Evolving AI: Adobe showcases new AI features in Premiere Pro to take video production to the next level with the help of AI.

Key Points:

• New AI features simplify adding or removing objects and extending clips.

• Access to third-party AI models like OpenAI within Premiere.

• Upcoming tools for precise audio control and quality improvements.

Details:

Adobe is introducing astonishing generative AI capabilities to Premiere Pro, set to redefine professional video editing. This includes tools for seamless object manipulation and clip extension, leveraging Adobe's new Firefly video model. These enhancements promise to streamline complex editing tasks, enabling creators to achieve high-quality results faster and more efficiently. The integration of third-party AI models directly into Premiere Pro workflows, such as those from OpenAI, offers unprecedented flexibility and creative potential.

Our Thoughts:

Once we see a consumer market release of these AI tools, we’ll see just how well they work for professional workflows. If they’re as good as what Adobe has done so far with its existing AI tools for images, then the company’s generative video tools will likely be pretty decent These tools could set a new standard for (AI) video production.

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REKA
🚀 Reka's new multimodal AI that competes with GPT-4

Evolving AI: Reka introduces their versatile AI-model that understands images, sounds, and videos.

Key Points:

• Reka Core, a new AI-model, competes with GPT-4 and Claude 3 Opus.

• Developed by a team from DeepMind, Google, and Meta.

• Available via API, on-premise, or on-device.

Details:

Reka Core emerges as a new force in AI from San Francisco-based startup Reka, developed by former team members from DeepMind, Google, and Meta. This multimodal language model understands various inputs like images, audio, and video. It’s Reka's most advanced model yet, leveraging thousands of GPUs for training. Most importantly, despite being trained in less than a year, it matches or beats the performance of top models from leading players in the AI space, including OpenAI, Google and Anthropic.

Our Thoughts:

Reka Core’s swift development and multimodal capabilities highlight a significant shift in AI development efficiency and versatility. Reka Core is the next large AI model, somewhat eclipsing the once overwhelming GPT-4. It will be interesting to see how these advancements change the tech landscape, especially for startups competing with tech giants with deep pockets.

OPEA
🌐 “Open AI” for Enterprise Unveiled

Evolving AI: Intel and the Linux Foundation lead an initiative for interoperable, enterprise-focused AI.

Key Points:

• Launch of the Open Platform for Enterprise AI (OPEA)

• Development led by the Linux Foundation

• Collaboration between major tech entities

Details:

The Linux Foundation, in collaboration with Intel, Cloudera, and others, announced the creation of the Open Platform for Enterprise AI (OPEA). This initiative aims to develop open-source, modular AI systems that are robust and scalable. OPEA will provide a framework to facilitate the integration of AI technologies across various platforms, prioritizing accessibility and innovation in enterprise applications. The project seeks to standardize AI tools that can operate across diverse hardware and software environments, enhancing efficiency and interoperability in business processes.

Why This Matters:

This project marks a step towards universal standards in AI tools, which could revolutionize how businesses operate. By fostering a collaborative environment, OPEA may significantly lower the barriers to AI adoption across industries. Could this be the dawn of universally compatible AI systems that transform enterprise operations globally? The potential for such a shift highlights the importance of open-source collaboration in paving the future of technological integration.

🤖 AI in practice

Google Deepmind introduces ALOHA Unleashed, a new generation of AI-powered robots with impressive dexterity.

In multiple videos, the robots demonstrate their ability to perform tasks such as hanging shirts, inserting gears accurately, and tying shoelaces. These robots are also capable of handling objects they haven't been specifically trained on, like sweaters. The footage is captured in a single take without any cuts, showcasing the robots' full autonomy. Through its ALOHA Unleashed project, Google Deepmind aims to advance the dexterity of affordable robots. This technology holds potential applications in both industrial settings and daily activities in the future.

💡 Tip of the Day

Stanford University has released a huge report on the state of AI in 2024.

Here are the top 10 takeaways of the report:

1. AI Performance: AI excels in specific tasks like image classification and English understanding but lags in complex areas such as competition-level mathematics and visual commonsense reasoning.

2. Industry Leadership: In 2023, the industry led frontier AI research, developing 51 significant models compared to academia's 15, with an additional 21 models from industry-academia collaborations.

3. Rising Costs: The cost of training cutting-edge AI models has skyrocketed, with OpenAI’s GPT-4 and Google’s Gemini Ultra costing approximately $78 million and $191 million in compute, respectively.

4. Global AI Leadership: The U.S. is the top producer of notable AI models in 2023, significantly ahead of the EU and China.

5. Lack of Standard Evaluations: There's a big gap in standardized evaluations for AI responsibility, complicating comparisons of risks and limitations across top AI models.

6. Surge in Generative AI Funding: Despite a downturn in overall AI investment, funding for generative AI soared to $25.2 billion in 2023.

7. AI and Productivity: AI has been shown to enhance worker productivity and output quality, although oversight is crucial to prevent potential decreases in performance.

8. AI-Driven Scientific Progress: 2023 saw substantial advancements in AI applications for science, notably in algorithmic sorting and materials discovery.

9. Increase in AI Regulations: The U.S. has seen a sharp rise in AI-related regulations, with 25 new regulations in 2023, marking significant growth over the past five years.

10. Growing AI Awareness and Concern: Public awareness and apprehension towards AI are increasing, with more people recognizing its potential impact on their lives and expressing increased nervousness.

🤖 Microsoft: Microsoft drops $1.5 billion on G42, an Abu Dhabi-based AI company.

🔉 Amazon Music: Testing Maestro, their AI playlist generator.

📈 Trending AI Tools

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• 📊 DataMotto - A tool to automate data preparation by cleaning, preprocessing, and enriching data for analysis (link)

• 🎶 Sonauto - Create and share hit songs with AI (link)

• 🎮 Glowbom - A tool to create apps and games without coding by turning sketches into exportable code for multiple platforms (link)