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OpenAI “Sora” text-to-video model

Apple AI coding tool, Gemini 1.5, AI cyber defense, and more

Hello everybody. Welcome to Daily Zaps.

Here’s what we got for ya today:

  • 🎥 OpenAI “Sora” Text-to-Video Model

  • 🍎 Apple Developing AI Coding Tool

  • 📣 Gemini 1.5 Announced

  • 🕸️ Google’s AI Cyber Defense Initiative

Let’s get right into it!  


OpenAI “Sora” Text-to-Video Model

OpenAI has unveiled Sora, a generative AI model extending its technology into video creation. Sora mirrors the functionality of its image-generation counterpart, DALL-E, allowing users to generate high-definition video clips from textual descriptions, still images, or by enhancing existing videos.

This leap into video generation marks a significant expansion in the generative AI landscape, previously dominated by chatbots and image generators, opening new creative possibilities but also raising concerns over misinformation, especially with the alarming 900% increase in AI-generated deepfakes.

Despite its current limitation to minute-long videos and its restricted access to safety testers, OpenAI's initiative includes developing a detection classifier to identify Sora-generated content, underscoring the importance of addressing potential misuse as it ventures into multimodal AI capabilities.


Apple Developing AI Coding Tool

Apple is working on a new update for Xcode, their software development tool, which will include a smart AI feature that can write code on its own, similar to Microsoft's GitHub Copilot. This AI will help developers by predicting and completing chunks of code, making it faster and easier to build apps. Apple is currently testing this feature and plans to share it with outside developers sometime this year. Additionally, Apple is exploring AI for testing apps and has even started internal trials for these tools.

This AI upgrade in Xcode is just one part of Apple's bigger plan to add smart features across its products, including Siri, Apple Music, and Keynote. For example, Apple Music might get AI-made playlists, and Keynote could automatically create slideshows. They're also working on making the Spotlight search feature smarter, allowing it to handle complex questions and search within apps using advanced AI models.


No-code custom AI chatbots

How does is work?

Data Integration: Easily train your chatbots using content from various sources including websites, PDFs, YouTube videos, and more.

Prompt Customization: Effortlessly tailor your chatbot's responses with a user-friendly, no-code interface.

Chatbot Sharing: Quickly distribute your chatbot by sharing its unique URL or seamlessly integrate it onto your website with just a few clicks.

Usage Insights: Keep track of your chatbot's performance and user interactions through an analytics dashboard.


Gemini 1.5 Announced

Just two months after unveiling Gemini, the tech giant has announced Gemini 1.5, targeting developers and enterprise users with promises of a broader consumer release. This update signifies Google's commitment to positioning Gemini as a versatile tool for business and personal use, highlighting the model's improvements in performance and efficiency, notably through a "Mixture of Experts" technique for enhanced speed and operational economy.

Gemini 1.5 is its capable of processing up to 1 million tokens, dwarfing the capacity of OpenAI's GPT-4 and its own predecessor, which allows for more extensive data analysis in a single query.


Google’s AI Cyber Defense Initiative

Google’s AI Cyber Defense Initiative is an important development in cybersecurity, aiming to harness the power of artificial intelligence (AI) to better combat cyber threats. This initiative comes at a time when cybersecurity experts are struggling to keep up with sophisticated cybercriminals and state-sponsored attacks using conventional methods. AI offers a promising solution by potentially staying one step ahead of future threats, thus shifting the balance in favor of defenders who have traditionally been at a disadvantage.

The initiative focuses on enhancing AI infrastructure, developing new defensive tools, and promoting research and education to address the "Defender's Dilemma" — the challenge where defenders must be perfect, while attackers only need to find a single weak spot. With over 40% of people recognizing AI as crucial for improved security, this effort underscores the collective need for strategic advancements in AI technology and policy to make digital environments safer.

In case you’re interested — we’ve got hundreds of cool AI tools listed over at the Daily Zaps Tool Hub. 

If you have any cool tools to share, feel free to submit them or get in touch with us by replying to this email.

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