Welcome, AI enthusiasts.
Apple’s highly anticipated Apple Intelligence (AI) won’t be ready for the initial iOS 18 release this September, with the corporate now pushing the rollout to a later date.
Is that this just Apple being Apple, or is it an indication that bringing advanced AI to consumer products is harder than tech giants want us to imagine? Let’s get into it…
In today’s AI rundown:
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Apple’s AI features delayed
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AI revolutionizes the 2024 Olympics
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Turn text into Sora-like AI videos
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4 latest AI tools & 4 latest AI jobs
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More AI & tech news
Read time: 3 minutes
LATEST DEVELOPMENTS
APPLE
🍎 Apple’s AI features delayed
Image source: Apple
The Rundown: In line with a brand new report from Bloomberg, Apple’s highly anticipated AI features, collectively referred to as Apple Intelligence, is not going to be included within the initial release of iOS 18 and iPadOS 18 this September, as an alternative rolling out in later updates.
The main points:
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Apple Intelligence is now planned for release by October, a number of weeks after the initial iOS 18 launch.
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Developers will get early access to check Apple Intelligence features as soon as this week via iOS 18.1 and iPadOS 18.1 betas.
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Some advanced Siri features will likely be missing even from the October release, with the complete rollout stretching into 2025.
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The news comes alongside the corporate signing the White House’s voluntary commitment to developing secure, secure and trustworthy AI on Friday.
Why it matters: While it might disappoint Apple and AI fans, the slower rollout approach shows Apple’s long-devoted strategy for releasing stable, polished features. But with Apple Intelligence getting delayed and Siri 2.0 not arriving until 2025 — the early ‘demos’ we saw at WWDC in June should’ve probably been called teasers, if anything.
TOGETHER WITH CODESIGNAL
The Rundown: CodeSignal’s Prompt Engineering for Everyone is a comprehensive learning path that equips you with the AI knowledge to change into a talented prompt engineer — featuring paths for everybody from beginners to experienced engineers.
Through engaging lessons and hands-on practice, you will gain:
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1-on-1 support through an AI tutor and guide, Cosmo
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Real-world practice exercises
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Skills badges that employers trust
Start totally free and unlock your AI potential today.
OLYMPICS
🏅 AI revolutionizes the 2024 Olympics
Image source: Ideogram / The Rundown
The Rundown: The Paris 2024 Summer Olympic Games is showcasing an unexpectedly extensive amount of AI, changing experiences for athletes, spectators, and organizers — potentially signaling a brand new era in the way in which that we watch sports.
The main points:
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AthleteGPT, an AI chatbot, is providing 24/7 assistance to athletes through the Athlete365 mobile app.
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An AI-powered 3D athlete tracking (3DAT) technology is offering detailed biomechanical insights for performance enhancement.
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AI is getting used in talent scouting, as demonstrated by a recent IOC pilot program in Senegal.
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NBC can be using AI to offer personalized highlights and enhanced real-time statistics for viewers.
Why it matters: The usage of AI at a significant worldwide sporting event reminiscent of the Olympics marks a significant moment for AI adoption, moving from previous reluctance to embrace it. As AI continues to change into normalized globally, it could pave the way in which for a brand new era in sports viewing and management.
AI TRAINING
🎬 Turn text into Sora-like AI videos
The Rundown: Kling AI’s text-to-video feature allows users to create stunning Sora-like videos from easy text prompts, opening up latest ways you may produce high-quality visuals.
Step-by-step:
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Visit Kling AI and enroll for a free account.
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From the important dashboard, click on “AI Videos”.
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Within the “Prompt” section, describe the video you need to create.
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Adjust settings like creativity level, video quality, length, and aspect ratio.
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Click “Generate” and watch your text come to life as a video!
Get more AI tutorials →
AI UNIVERSITY
🎓 Join us live: free Llama 3.1 workshop series
The Rundown: To have a good time the launch of Llama 3.1, we’re hosting a free 3-day online workshop series at The Rundown AI University — with the second session starting Wednesday at 1PM PST.
Join us live to learn:
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Why Llama 3.1 is very important and real-world use cases
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Beginner to advanced integration suggestions
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Learn how to construct your personal private and native model out of your data
All sessions will likely be taught by The Rundown’s AI professor, Dr. Alvaro Cintas, and former workshops are recorded and accessible within the AI University.
Click here to enroll totally free and RSVP to the subsequent workshop within the events tab.
NEW TOOLS & JOBS
Trending AI Tools
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🗒️ Capacities Mobile App – Note-taking companion powered by an AI assistant
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🎨 Segmind Pixelflow – Streamline AI image creation workflows with templates
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🎬 Storyblocker – Visualized storyboard with real-time 3D and AI
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👨🎤 Sensay – Simplify AI replica creation and fine-tuning
Browse more AI tools →
Recent AI Job Opportunities
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🎓 Centre for the Governance of AI – (Senior) Visiting Fellow
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🛠️ Meta – Product Quality Engineer
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💼 Findem – Customer Success Manager
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🚗 Waymo – Senior Product Manager, Simulation and Evaluation
Browse more AI jobs →
QUICK HITS
X (Twitter) routinely enabled a setting allowing user data, including user interactions, posts, inputs, and results, for use for training and fine-tuning purposes for its Grok AI.
Morgan Stanley deployed its second in-house generative AI application, AI @ Morgan Stanley Debrief, which summarizes video meetings and generates follow-up email drafts.
The National Institute of Standards and Technology (NIST) released Dioptra, an open-source tool for testing AI model risk and measuring the impact of malicious attacks on AI system performance.
Reddit intensified its crackdown on web crawlers by blocking major serps from surfacing recent posts unless they pay, with Google currently being the one mainstream search engine showing recent results.
Suno introduced a brand new feature for Pro & Premier users to separate vocals and instrumentals from AI-generated songs, allowing for more control and inventive possibilities in music production.
Stanford Engineering and Toyota Research achieved a milestone in autonomous driving by creating the world’s first AI-directed, driverless tandem drift, aiming to advance the protection of automated driving in complex scenarios.
THAT’S A WRAP
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