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Meta's video AI breakthrough
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Welcome, AI enthusiasts.
Meta's new AI can identify and track any object in a video with just a few clicks, making Hollywood-level cutouts and effects accessible to everyone.
Could this open-source breakthrough be the key to unlocking a new era of AI-powered video editing? Let's get into it...
In today’s AI rundown:
Meta unveils SAM 2 for video AI
Zuck and Huang envision AI’s future
How to automate emails from spreadsheet data
Runway releases image-to-video AI
5 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
META
🎥 Meta unveils SAM 2 for video AI
Image source: Meta
The Rundown: Meta just introduced Segment Anything Model 2 (SAM 2), an advanced AI model that can identify and track objects across video frames in real-time, marking a significant leap in video AI.
The details:
SAM 2 extends Meta's previous image segmentation capabilities to video, addressing challenges like fast movement and object occlusion.
The model can segment any object in a video and create cutouts in a few clicks — with a free demo available to try here.
Meta is also open-sourcing the model and releasing a large, annotated database of 50,000 videos used for training.
Potential applications include video editing, mixed reality experiences, and scientific research.
Why it matters: SAM 2’s ability to track objects in real-time could make complex video editing tasks like object removal or replacement as simple as a single click. With Llama 3.1 last week and now SAM 2, Meta is continuing its strategy of developing massive AI breakthroughs — while making everything open and free to use.
TOGETHER WITH OCTOAI
🏋️ Optimize Llama 3.1-8B to beat GPT-4o
The Rundown: OctoAI is delivering a deep dive into optimizing small, open-source models like Llama3.1-8B to overpower the big closed source providers — all while controlling your own data and slashing costs.
Join the technical session on Aug. 7 to see:
An interactive path to optimal model performance
Efficient approaches to fine tune the new Llama 3.1-8B model family
The continuous development cycle for LLM-powered apps
+47% quality improvements and +90% cost reduction over GPT-4o
Sign up for the session here. All registrants will receive the post-session materials, even if you can’t attend live!
SIGGRAPH 2024
🤝 Zuck and Huang envision AI’s future
Image source: NVIDIA
The Rundown: During a fireside chat at SIGGRAPH 2024, Meta CEO Mark Zuckerberg and NVIDIA CEO Jensen Huang spoke about their shared vision for the AI-powered future.
Key highlights:
Both CEOs emphasized the importance of open-source AI, with Zuckerberg highlighting Llama 3.1's release as an "inflection point."
Zuckerberg outlined a possible future for social media to evolve from recommending content to AI generating personalized content on the fly.
Huang predicted a shift from turn-based AI interactions to more fluid, multi-option simulations.
The leaders also discussed AI's potential to transform education, entertainment, and work through smart glasses.
Why it matters: The emphasis on open-source and personalized AI signals a potential shift in how AI will be integrated into everyday life and business. With Meta and NVIDIA's combined influence, the shared vision could significantly shape the future of AI and its applications across different industries.
AI TRAINING
📧 How to automate emails from spreadsheet data
The Rundown: Zapier Central allows you to automatically create emails from spreadsheet data, which can help you save time on repetitive tasks and ultimately boost your productivity.
Step-by-step:
Log in or sign up at Zapier and go to Zapier Central.
Create a new AI assistant named "Spreadsheet to Email".
Connect Google Sheets as your Data Source and set up the "Create Draft" Action for Gmail.
Test by instructing the AI to create a draft, then refine it as needed.
Pro tip: Start with email drafts instead of sending emails directly to allow you to review them and adjust if necessary before scaling up the automation!
PRESENTED BY APPYPIE
🎥 Convert text to video with Appy Pie
The Rundown: Appy Pie Playground is an all-in-one AI platform that revolutionizes creativity with its suite of AI tools, allowing users to effortlessly generate stunning videos, animations, and more.
Popular features include:
AI Video Generator: Create character-consistent videos with music & voiceovers
Animated Story Generator: Create animations with advanced story diffusion
Background Generator: Easily generate backgrounds for products and images
Cards Generator: Design and generate personalized cards
Get started today to generate your first AI video!
RUNWAY
🎬 Runway releases image-to-video AI
Image source: Ideogram / The Rundown
The Rundown: Runway just announced that Gen-3 Alpha, the startup’s popular AI text-to-video generation model, can now create high-quality videos from still images.
The details:
According to Runway, image-to-video greatly improves the artistic control and consistency of video generations.
Image-to-video generations are either 5 or 10 seconds in length and take up “credits,“ which you have to pay for through Runway’s subscription tiers.
To use the tool, head to Runway’s website, click “try Gen-3 Alpha”, and upload an image to watch it come to life.
Why it matters: The highly anticipated image-to-video generation model opens up a whole new suite of creativity, allowing users to bring any image to life. However, while the increased artistic control and improvements to consistency are notable, Gen-3 Alpha does not come at a cheap price tag.
P.S. our favorite use case: Turning memes to life.
NEW TOOLS & JOBS
Trending AI Tools
🎨 EverArt - Train AI on any product, style, or mood board
📝 Granola - AI-powered meeting note enhancement and organization
🎬 Runway Gen-3 Image to Video - Generate videos using images as guidance
🧑💻 Slater - Custom AI coding tool for Webflow website projects
🚀 fastn - Integrate and connect multiple data sources in a single, unified API
New AI Job Opportunities
💻 Robust Intelligence - Senior Software Engineer (Cloud/Security)
👨💻 Palantir - Software Engineer, New Grad
🛠️ Meta - Product Manager - Infrastructure AI
📈 Databricks - Senior Customer Marketing Manager - EMEA
QUICK HITS
20% off AI Crash Course: Master prompting, AI productivity hacks, and proven use cases in Section’s 1-week AI Crash Course. 20% off with code RUNDOWN this week (Sponsored)
Meta launched AI Studio, a platform allowing users to create, share, and discover custom AI characters without technical skills, built on Llama 3.1.
Amazon unveiled its latest AI chip, claiming performance up to 50% higher than NVIDIA's at half the cost, as part of efforts to reduce reliance on external chips for its AWS AI cloud services.
Apple revealed its Apple Intelligence Foundation Model technical report, revealing architecture specifics, pre-training methods, and deployment strategies for both server and on-device AI models.
Scale AI announced its latest SEAL Leaderboard on Adversarial Robustness, evaluating AI models on their ability to handle red team-generated prompts across harm scenarios — with Google’s Gemini 1.5 Pro topping the leaderboard.
Topology introduced the Continuous Learning Model (CLM), a new AI system that can remember interactions, learn autonomously, and develop an ‘emergent’ personality.
Elon Musk predicted a future with 10 billion humanoid robots, more than the number of humans, describing it as a fundamental milestone in civilization.
THAT’S A WRAP
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Apple Intelligence (AI) takes a time out
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Welcome, AI enthusiasts.
Apple's highly anticipated Apple Intelligence (AI) won't be ready for the initial iOS 18 release this September, with the company now pushing the rollout to a later date.
Is this just Apple being Apple, or is it a sign that bringing advanced AI to consumer products is harder than tech giants want us to believe? Let's get into it…
In today’s AI rundown:
Apple's AI features delayed
AI revolutionizes the 2024 Olympics
Turn text into Sora-like AI videos
4 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 3 minutes
LATEST DEVELOPMENTS
APPLE
🍎 Apple's AI features delayed
Image source: Apple
The Rundown: According to a new report from Bloomberg, Apple's highly anticipated AI features, collectively known as Apple Intelligence, will not be included in the initial release of iOS 18 and iPadOS 18 this September, instead rolling out in later updates.
The details:
Apple Intelligence is now planned for release by October, a few weeks after the initial iOS 18 launch.
Developers will get early access to test Apple Intelligence features as soon as this week via iOS 18.1 and iPadOS 18.1 betas.
Some advanced Siri features will be missing even from the October release, with the full rollout stretching into 2025.
The news comes alongside the company signing the White House’s voluntary commitment to developing safe, secure and trustworthy AI on Friday.
Why it matters: While it may 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
🧠 Become a prompt engineer
The Rundown: CodeSignal’s Prompt Engineering for Everyone is a comprehensive learning path that equips you with the AI knowledge to become a skilled prompt engineer — featuring paths for everyone from beginners to experienced engineers.
Through engaging lessons and hands-on practice, you'll gain:
1-on-1 support through an AI tutor and guide, Cosmo
Real-world practice exercises
Skills badges that employers trust
Get started for 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 new era in the way that we watch sports.
The details:
AthleteGPT, an AI chatbot, is providing 24/7 assistance to athletes through the Athlete365 mobile app.
An AI-powered 3D athlete tracking (3DAT) technology is offering detailed biomechanical insights for performance enhancement.
AI is being used in talent scouting, as demonstrated by a recent IOC pilot program in Senegal.
NBC is also using AI to provide personalized highlights and enhanced real-time statistics for viewers.
Why it matters: The use of AI at a major worldwide sporting event such as the Olympics marks a major moment for AI adoption, moving from previous reluctance to embrace it. As AI continues to become normalized globally, it could pave the way for a 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 simple text prompts, opening up new ways you can produce high-quality visuals.
Step-by-step:
Visit Kling AI and sign up for a free account.
From the main dashboard, click on "AI Videos".
In the "Prompt" section, describe the video you want to create.
Adjust settings like creativity level, video quality, length, and aspect ratio.
Click "Generate" and watch your text come to life as a video!
AI UNIVERSITY
🎓 Join us live: free Llama 3.1 workshop series
The Rundown: To celebrate the launch of Llama 3.1, we are 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:
Why Llama 3.1 is important and real-world use cases
Beginner to advanced integration tips
How to build your own private and local model from your data
All sessions will be taught by The Rundown’s AI professor, Dr. Alvaro Cintas, and previous workshops are recorded and accessible in the AI University.
Click here to sign up for free and RSVP to the next workshop in the events tab.
NEW TOOLS & JOBS
Trending AI Tools
🗒️ Capacities Mobile App - Note-taking companion powered by an AI assistant
🎨 Segmind Pixelflow - Streamline AI image creation workflows with templates
🎬 Storyblocker - Visualized storyboard with real-time 3D and AI
👨🎤 Sensay - Simplify AI replica creation and fine-tuning
New AI Job Opportunities
🎓 Centre for the Governance of AI - (Senior) Visiting Fellow
🛠️ Meta - Product Quality Engineer
💼 Findem - Customer Success Manager
🚗 Waymo - Senior Product Manager, Simulation and Evaluation
QUICK HITS
X (Twitter) automatically enabled a setting allowing user data, including user interactions, posts, inputs, and results, to be used 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 search engines from surfacing recent posts unless they pay, with Google currently being the only mainstream search engine showing recent results.
Suno introduced a new feature for Pro & Premier users to separate vocals and instrumentals from AI-generated songs, allowing for more control and creative 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 safety of automated driving in complex scenarios.
THAT’S A WRAP
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OpenAI reveals 'SearchGPT'
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Welcome, AI enthusiasts.
OpenAI just released the prototype of its AI-powered search engine, SearchGPT, which combines powerful AI models with information directly from the web.
Is this the beginning of an OpenAI-Google search war? Let's get into it…
In today’s AI rundown:
OpenAI reveals its AI search engine
Google’s AI scores silver at Math Olympiad
Use AI to auto-adjust video eye contact
Who will control the future of AI?
5 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
OPENAI
🔎 OpenAI reveals its AI search engine
Image source: OpenAI
The Rundown: OpenAI just announced SearchGPT, an AI-powered search engine prototype that combines powerful AI models with information from the Internet to provide users with timely answers from relevant sources—directly challenging Google’s search dominance.
The details:
SearchGPT organizes search results into summaries with attribution links and allows for follow-up questions, similar to AI startup Perplexity.
The prototype is powered by GPT-4 and will be initially available to 10,000 test users.
While still a prototype, the company eventually plans to integrate SearchGPT features directly into ChatGPT.
To get access to SearchGPT, you need to log into your ChatGPT account, then you can request to join the waitlist here.
Why it matters: OpenAI's entry into search could disrupt the industry—potentially reshaping how users interact with online information and challenging Google Search's long-standing dominance. The move also raises questions about data privacy, the future of traditional SEO, and the impact on content creators.
TOGETHER WITH ZAPIER
🥤 AI in a can: The future of automation
The Rundown: Zapier brings you ZAP, AI in a Can, the first-ever digital energy drink for your computer — allowing users to unleash the power of AI automation and craft unstoppable workflows.
With ZAP, you can:
Distill advanced AI into an easy-to-use format
Enhance productivity with AI automation tools
Integrate with over 7,000 apps
Ready to energize your productivity? Claim your free sample today!
GOOGLE DEEPMIND
🧮 Google’s AI scores silver at Math Olympiad
Image source: Google DeepMind
The Rundown: Google DeepMind's AI systems, AlphaProof and AlphaGeometry 2, achieved a significant milestone in AI’s math reasoning capabilities, attaining a silver medal-equivalent score at this year's International Mathematical Olympiad (IMO).
The details:
The AI system solved 4 out of 6 problems from the 2024 IMO, scoring 28 out of 42 points.
This achievement represents a significant leap from previous AI attempts, which could barely solve 1 in 100 past IMO problems.
AlphaProof uses a fine-tuned Gemini model to translate and solve complex math problems.
AlphaGeometry 2 demonstrated remarkable speed, solving a complex geometry problem in just 19 seconds.
Why it matters: This breakthrough demonstrates AI's growing ability to perform complex math on par with the world’s smartest humans. It’s a big step towards more generalized AI systems capable of advanced reasoning, which could have implications across scientific research, engineering, finance, legal analysis, and more.
AI TRAINING
👀 Use AI to auto-adjust video eye contact
The Rundown: Captions' new AI-powered "Eye Contact" feature automatically adjusts your gaze in videos, making it appear as if you're always looking directly at the camera.
Step-by-step:
Visit Captions' website and log in or create an account.
On the main dashboard, click "Upload a video" and select your file.
In the editing interface, click on the "Effects" tab.
Toggle on the "Eye Contact" option to enable the feature.
Once processing is complete, preview your video and export the enhanced version.
AI UNIVERSITY
🚨 Emergency free Llama 3.1 workshop series
The Rundown: To celebrate the launch of Llama 3.1, we are hosting a free 3-day online workshop series at The Rundown AI University — with the first session starting today at 1PM PST.
Join us live to learn:
What is Llama 3.1, why is it important, and real-world use cases
Beginner to advanced integration tips
How to build your own private and local model from your own data
All sessions will be taught by The Rundown’s AI professor, Dr. Alvaro Cintas, and additional expert guests will be joining us along the way for fireside chats.
Click here to sign up for free RSVP to all workshops in the events tab.
SAM ALTMAN
🚨 Who will control the future of AI?
Image source: Joel Saget / Getty Images
The Rundown: Sam Altman, CEO of OpenAI, just wrote an op-ed outlining a strategy for ensuring a vision for AI prevails in the United States and allied nations over authoritarian alternatives.
The details:
Altman emphasizes the urgent need for a U.S.-led global coalition to advance AI that spreads its benefits and maintains open access.
He proposes four key actions: robust security measures, infrastructure investment, coherent commercial diplomacy, and new models for global AI governance.
The strategy aims to maintain the U.S. lead in AI development while countering efforts by authoritarian regimes to dominate the technology.
Altman suggests creating an international body for AI oversight, similar to the IAEA or ICANN.
Why it matters: Altman's surprisingly urgent tone in this op-ed highlights the growing risks of AI development in the US. He believes "there is no third option," either democratic nations lead AI development or authoritarian regimes will — raising a serious call to action for the race of AI dominance.
NEW TOOLS & JOBS
Trending AI Tools
🎵 Udio v1.5 - AI-music generator with key guidance and multi-track stem downloads
🔎 SearchGPT - Get up-to-date information with OpenAI’s new search feature
🎬 Kling AI - The Sora-like AI video generation tool, now available globally
👟 Faire AI Real-Time Photoshoot Builder - Remix brand assets and have more control over the scene
🖥️ exo - Run Llama 3.1 and your own AI cluster with everyday devices
New AI Job Opportunities
🛠️ Observe.AI - Software Engineer - Backend
📊 Meta - Director, Data Science - Monetization AI Infrastructure
🔍 Databricks - GenAI Research Scientist - Multimodal and Computer Vision
🔬 Robust Intelligence - Research Scientist
QUICK HITS
Google upgraded Gemini with 1.5 Flash, offering faster responses, a 4x larger context window, and expanded access in over 40 languages and 230 countries.
SAG-AFTRA announced a strike for video game performers starting July 26, citing concerns over AI protections in negotiations with major gaming studios, despite progress on wages and job safety.
Sam Altman revealed in a tweet reply that the GPT-4o-Voice Alpha rollout will begin next week for Plus subscribers, expanding OpenAI's voice generation capabilities.
Udio released version 1.5 of its AI music model, featuring improved audio quality, key control, and new features like stem downloads and audio-to-audio remixing.
Runway's AI video generator reportedly trained on thousands of YouTube videos without permission, according to a leaked document obtained by 404 Media.
Anthropic's web crawler allegedly violated website terms of use, with iFixit reporting nearly a million hits in 24 hours, raising concerns about AI companies' data collection practices.
THAT’S A WRAP
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Mistral AI challenges Meta Llama 3.1
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Welcome, AI enthusiasts.
Just a day after the release of Llama 3.1 405b, French AI startup Mistral AI dropped their latest flagship model: Large 2.
Between these two AI powerhouses, open models are having a moment. But how do they hold up against top closed models like GPT-4? Let’s dive in…
In today’s AI rundown:
Mistral's Large 2 takes on AI giants
Kling AI's video generation goes global
How to replace Siri with ChatGPT
Bing unveils new AI-powered search
6 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
OPENAI
🇫🇷 Mistral's Large 2 takes on AI giants
Image source: Mistral AI
The Rundown: Mistral just released Large 2, a new AI model claiming to match or exceed the performance of recent offerings from OpenAI and Meta, despite having significantly fewer parameters.
The details:
Large 2 boasts 123 billion parameters, less than a third of Meta's Llama 3.1 405B, yet outperforms it in code generation and math.
The model features a 128,000 token context window and improved multilingual support for 12 languages and 80 coding languages.
Mistral claims Large 2 minimizes hallucinations and produces more concise responses than leading AI models.
The model is available to try on Le Chat, and available for use on major cloud platforms but requires a paid license for commercial use.
Why it matters: At just one-third the size of Llama 3.1 405b with benchmarks comparable to GPT-4, Mistral Large 2 is very impressive. And with two GPT-4 level open models now released in just two days, the pressure just dialed up a few notches for closed-AI leaders like OpenAI, Anthropic, and Google.
TOGETHER WITH TENSORWAVE
🚀 Unlock 1M context chat with a single GPU
The Rundown: TensorWave Cloud’s latest development allows the Llama 3-70B model to process 1M tokens of context with a single GPU — setting new standards for real-time AI interactions.
This breakthrough enables:
Enhanced real-time chat enabling more dynamic, interactive applications
Optimized performance through AMD's state-of-the-art MI300X GPUs
Scalable, cost-effective solutions for deploying large language models
Click here to learn more and see demos of the 1M context capabilities in action.
KUAISHOU
🎥 Kling AI's video generation goes global
Image source: Kling AI
The Rundown: Kling AI, developed by Chinese tech giant Kuaishou Technology, has released its impressive AI video model globally, offering high-quality AI generations that rival OpenAI’s (unreleased) Sora.
The details:
Kling can generate videos up to two minutes long, surpassing OpenAI's Sora's one-minute limit, however, the global version is limited to five-second generations.
The global version offers 66 free credits daily, with each generation costing 10 credits.
According to Kuaishou, Kling utilizes advanced 3D reconstruction technology for more natural movements.
The platform accepts prompts of up to 2,000 characters, allowing for detailed video descriptions.
Why it matters: When KLING launched a little over a month ago, it was only accessible if you had a Chinese phone number. While global users are still limited to 5-second generations, anyone can now generate their own high-quality videos — putting even more pressure on OpenAI to release its beloved Sora.
AI TRAINING
🗣️ How to replace Siri with ChatGPT
The Rundown: With this iOS widget hack, you can add ChatGPT's voice feature to your iPhone's lock screen for lightning-fast access to AI-powered conversations.
Step-by-step:
Download the official ChatGPT app from the App Store and set it up.
Long-press on your iPhone's lock screen and tap "Customize".
Select "Add Widgets" and find the ChatGPT widget.
Drag and drop the widget to your preferred position on the lock screen.
Tap "Done" to save, and start using your new AI assistant shortcut!
PRESENTED BY BRILLIANT
📶 Future-proof your skills in the AI era
The Rundown: Brilliant’s innovative learning platform helps you navigate the AI revolution with confidence. Thousands of micro-lessons (each one takes just minutes) help you develop a deep understanding of the essential skills needed for today’s rapidly evolving job market.
Brilliant’s approach includes:
Expert-crafted lessons to simplify complex topics like AI, programming, and data science
Interactive problem-solving and personalized learning paths
Gamified content to help you stay motivated with a global community of learners
Start your 30-day free trial and join 10M learners around the world. Plus, unlock 20% off, exclusive to Rundown readers.
MICROSOFT
🔍 Bing unveils new AI-powered search
Image source: Microsoft Bing
The Rundown: Microsoft's Bing is testing a new generative search experience that combines traditional search results with AI-generated content — aiming to reshape how users interact with search engines.
The details:
The new experience uses LLMs to generate dynamic, AI-powered search result layouts, including answer summaries and related sections.
Bing claims the system reviews millions of sources to dynamically match content and fulfill user intent more effectively.
The feature is currently being tested with a small percentage of user queries, with Microsoft seeking user feedback via thumbs up/down icons.
Microsoft states early data shows the experience maintains the number of clicks to websites, aiming to support a "healthy web ecosystem."
Why it matters: While most users will be happy to see Microsoft’s attempts to improve Bing, these changes could have significant implications for creators and businesses that rely on SEO. Although Microsoft suggests this will maintain clickable links in results, the actual effect may vary across different search types.
NEW TOOLS & JOBS
Trending AI Tools
🎥 PixVerse V2 - Multi-frame video generation with consistent style and subjects
🎬 Nolan - AI script writing software for filmmakers
🚀 Comfy Deploy - Turn ComfyUI workflows into production-ready APIs
🎓 Llama Tutor - Learn faster with an AI tutor powered by Llama 3.1
🔒 Gandalf - Test your prompting skills and gain insights into securing AI
🎨 Gendo - AI for architecture design
New AI Job Opportunities
📢 Writer - Director, Product Marketing
🎥 Synthesia - Head of Product Design
💻 Groq - Senior Systems Software Engineer
🗣️ Hippocratic AI - Research Engineer, Speech Technologies
QUICK HITS
Microsoft announced collaborations with Mass General Brigham and University of Wisconsin to advance AI foundation models for medical imaging, aiming to enhance radiologists' efficiency and improve patient outcomes.
Stability AI unveiled Stable Video 4D, a new AI model that can turn single object videos into multiple videos from eight different angles — with potential applications in game development, video editing, and virtual reality.
OpenAI could lose up to $5 billion this year due to high operational costs, including $7 billion for AI training and inference, and $1.5 billion for staffing, despite rapid revenue growth, according to an analysis by The Information.
Google announced updates to the Play Store, including AI-powered app reviews, curated spaces, and personalized recommendations.
Microsoft partnered with Lumen Technologies to expand its AI workload capacity, addressing infrastructure shortages in its data centers, while Lumen will adopt Azure cloud services to improve its cash flow.
Udio released version 1.5 of its AI music generator, featuring improved audio quality, key control, and enhanced language results, alongside new platform features like stem downloads and audio-to-audio remixing capabilities.
THAT’S A WRAP
SPONSOR US
Get your product in front of over 600k+ AI enthusiasts
Our newsletter is read by thousands of tech professionals, investors, engineers, managers, and business owners around the world. Get in touch today.
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Senators demand OpenAI answers
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Welcome, AI enthusiasts.
Another week, another round of OpenAI drama — with five U.S. Senators now demanding answers about the company's AI safety practices.
Could these constant legal hurdles stifle OpenAI's momentum and create an opening for a new leader in the AI race? Let's investigate…
In today’s AI rundown:
Senators demand answers on OpenAI's practices
Meta's Llama 3.1 takes on GPT-4o
Create 8-second clips with new AI video model
Adobe’s new AI features for Photoshop
5 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
OPENAI
🚨 Senators demand answers on OpenAI's practices
Image source: ABC News
The Rundown: Five U.S. Senators have just sent a letter to OpenAI CEO Sam Altman, demanding details about the company's efforts to ensure AI safety following reports of rushed safety testing for GPT-4 Omni.
The details:
Senators question OpenAI's safety protocols, citing reports that the company rushed safety testing of GPT-4 Omni to meet a May release date.
The letter requests OpenAI to make its next foundation model available to U.S. Government agencies for deployment testing, review, analysis, and assessment.
Lawmakers ask if OpenAI will commit 20% of computing resources to AI safety research, a promise made in July 2023 when announcing the now disbanded "Superalignment team".
Why it matters: With allegations of rushed safety testing, potential retaliation against whistleblowers, and the disbanding of the "Superalignment team," OpenAI is under intense scrutiny. This letter also marks a critical moment for the entire AI industry — with the potential to lead to stricter government oversight and new industry standards.
TOGETHER WITH OCTOAI
🏋️ Optimize Llama3-8B to outperform GPT-4
The Rundown: OctoAI is delivering a deep dive into optimizing small, open-source models like Llama3-8B to overpower the big closed source providers — all while controlling your own data and slashing costs.
Join the technical session on Aug. 7 to see:
An interactive path to optimal model performance
Efficient approaches to fine tune the new Llama 3.1 model family
The continuous development cycle for LLM-powered apps
+47% quality improvements and +90% cost reduction over GPT-4
Sign up for the session here. All registrants will receive the post-session materials, even if you can’t attend live!
META
🦙 Meta's Llama 3.1 takes on GPT-4o
Image source: Kiki Wu / The Rundown
The Rundown: In case you missed our exclusive deep dive with Mark Zuckerberg yesterday, Meta released Llama 3.1, including it’s long awaited 405B paramater model — the first open sourced frontier model that beats top closed models like GPT-4o across several benchmarks.
The details:
The 405B parameter version of Llama 3.1 matches or exceeds top closed models on several benchmarks.
Meta is offering open and free weights and code, with a license enabling fine-tuning, distillation into other models, and deployment anywhere.
Llama 3.1 features a 128k context length, multi-lingual abilities, strong code generation performance, and complex reasoning capabilities.
For exclusive insights on Llama 3.1, open source, AI agents, and more, read our full deep dive with Mark Zuckerberg here, or watch the full interview here.
Why it matters: Meta’s release of Llama 3.1 405b is a significant moment in AI history because it’s the first time an open-source AI model matches or outperforms top closed AI models like OpenAI’s GPT-4o. By offering a private, customizable alternative to closed AI systems, Meta is enabling anyone to create their own tailored AI.
AI TRAINING
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ADOBE
🔥 Adobe’s new AI features for Photoshop
Image source: Adobe
The Rundown: Adobe just unveiled major AI-powered updates to Illustrator and Photoshop, leveraging its Firefly AI model to accelerate creative workflows and introduce new generative design capabilities.
The details:
Illustrator introduces Generative Shape Fill using Firefly Vector AI to add detailed vectors to shapes and create scalable patterns via text prompts.
Text to Pattern in Illustrator creates scalable, customized vector patterns for designs like wallpapers.
Photoshop's new AI-powered Selection Brush Tool and Generate Image function are now generally available.
Photoshop also gets an enhanced version of its popular Generative Fill for improved sharpness in large images.
Why it matters: These updates could dramatically increase designers' productivity by automating tedious, time-consuming tasks. We’ve always preached that the best AI products are those embedded into everyday workflows — and Adobe is doing just that by putting powerful tech directly into designers’ everyday tools.
NEW TOOLS & JOBS
Trending AI Tools
👩🦱 HeyGen Lab Interactive Avatar - Talk with personalized AI videos
🚀 Zixflow - Accelerate growth with CRM & marketing automation
🎨 Adobe Illustrator Generative Shape Fill - Enhance sketch and vector art with AI
🍿 Escape - Curates and distributes new forms of entertainment driven by AI
🎧 Auphonic - AI sound engineer for podcasts, lecture recordings, and more
New AI Job Opportunities
QUICK HITS
Meta AI unveiled a new 'Imagine me' selfie feature, allowing users to create stylized AI-generated selfies based on prompts, alongside expanded language support and integration with Meta's Llama 3.1 405B model.
OpenAI announced GPT-4o fine-tuning — offering 2 million free daily training tokens until September 23 to help developers customize the model for specific applications.
The FTC launched an investigation into eight companies offering AI-powered "surveillance service pricing", seeking information on how these technologies use consumer data to personalize pricing.
Harvey, an AI platform for legal services, secured a $100M Series C funding round led by Google Ventures, valuing the company at $1.5B, with plans to expand its AI capabilities in the professional services sector.
Cohere launched Rerank 3 Nimble, a new foundation model for enterprise search and RAG systems, offering 3x faster performance than its predecessor while maintaining accuracy and supporting 100+ languages.
Elon Musk proposed a $5 billion Tesla investment into xAI, subject to shareholder and board approval, potentially boosting Tesla's AI leadership and FSD capabilities.
THAT’S A WRAP
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Exclusive interview with Mark Zuckerberg
Meta just released Llama 3.1, the newest version of its open source model family, alongside its prized 405B model — the first-ever open sourced frontier AI model.
We sat down for an exclusive interview with Mark Zuckerberg, the founder and CEO of Meta, diving into why this marks a major moment for the AI community. Let’s get into it…
In our interview:
Meta releases Llama 3.1 405B
Open source for the greater good
Meta’s vision: lessons from the past
Zuck’s prediction for the future of AI agents
– Rowan Cheung, founder
EXCLUSIVE Q&A WITH MARK ZUCKERBERG
LLAMA 3.1
🦙 Meta releases Llama 3.1 405B
Image credits: Kiki Wu / The Rundown
The Rundown: Meta just released Llama 3.1 alongside its prized 405B model, achieving state-of-the-art performance across key benchmarks and becoming the first-ever open sourced frontier model, marking a major milestone in open source AI development.
Cheung: “Can you give us the rundown on everything being released and why it's important?”
Zuckerberg: “The big release today is Llama 3.1, and we're releasing three models. This is the first time we're releasing a 405 billion parameter model. It's by far the most sophisticated open source model that I think anyone has put out, and it really kind of is competitive with some of the leading closed models and in some areas is even ahead.”
Cheung: “The benchmarks look incredible. Are there any specific real-world use cases that you're really excited about seeing people build with the models?“
Zuckerberg: “The thing that I'm most excited about is seeing people use it to distill and fine-tune their own models… By our estimates, it's going to be 50% cheaper, I think, than GPT-4 to do inference directly on the 405B model."
Why it matters: Zuckerberg views Llama 3.1 as a pivotal moment for open source AI, potentially becoming "the open source AI standard" akin to Linux's impact on operating systems. By offering a cost-effective, customizable alternative to closed AI systems, Meta aims to democratize AI to empower "every startup, enterprise, and government" to create their own tailored AI solutions.
OPEN SOURCE
🤗 Open source for the greater good
Image credits: Kiki Wu / The Rundown
The Rundown: Alongside the major AI announcements from Meta, Zuckerberg published an open letter detailing his thoughts on open source AI and it’s benefits for the greater good — which we further explored in our interview.
Cheung: “Can you talk more about what the broad societal implications are of open source AI?”
Zuckerberg: "There are awesome things that AI is going to bring in terms of productivity gains and creativity enhancements for people, and hopefully, it'll help us with research and things like that. But I think open source is an important part of how we make sure that this benefits and is accessible to everyone, and isn't something that's just locked into a handful of big companies."
Cheung: “One other thing you mentioned in your letter is that open source AI can accelerate innovation and economic growth. How is this already happening, and how do you see this happening more in the future?“
Zuckerberg: “There are a lot of folks today who don't have access to fine-tune or build their own state-of-the-art models. They're limited to what large labs do.” Meta wants to give “startups, hackers, academics, and universities access to models they can build on, tweak, and distill down to run on their own devices. This will unlock a ton of progress.“
Why it matters: Zuckerberg's open-source AI strategy aims to make state-of-the-art AI accessible to everyone, from individuals to nations, potentially starting a new wave of global innovation. He argues this approach is not just more accessible but "safer than the alternative of closed development," stating that we’ll see a "massive equalizing effect" on technological progress.
META VS. CLOSED AI
🚀 Meta’s vision: lessons from the past
Image credits: Kiki Wu / The Rundown
The Rundown: In his open letter, Zuckerberg also discusses the open versus closed AI ecosystem, reflecting on previous personal experience where Meta was constrained by what Apple allowed them to build on their platforms.
Cheung: “I was a little shocked by how directly you called out Apple and their closed approach. Can you expand on that and where Apple has been a blocker for Meta and potentially others?”
Zuckerberg: “I actually don't know how they're going to approach AI. They do some open development, they do some closed development. I just think that in this case, open models are going to be the standard, and I think that it’s going to be good for the world.”
Zuckerberg added: “I'm not saying that Apple's necessarily going to be in the wrong place on this for AI, but if you look back over the last 10 or 15 years, it has been a formative experience for us is building our services on top of platforms that are controlled by our competitors and for a number of different incentives.”
Zuckerberg added: “It's a little bit soul-crushing when you go build features that are what you believe is good for your community, and then you're told that you can't ship them because some company wants to put you in a box so that they can better compete with you.“
Why it matters: Zuckerberg argues that closed systems inherently lead to innovation bottlenecks and unfair competition. His vision for an open AI ecosystem isn't just about Meta's interests—it's about fostering industry-wide innovation and preventing a monopoly on AI development. As he puts it, "I want to restore the industry to the state where the open ecosystem is actually the one that is leading."
PREDICTIONS
📈 Zuck’s prediction for the future of AI agents
Image credits: Kiki Wu / The Rundown
The Rundown: Zuckerberg predicts a world with billions of personalized AI agents and emphasizes the importance of open source development to ensure widespread benefits and mitigate potential risks.
Cheung: “What's your 10-year plan or long-term vision of what you think is going to happen with AI and AGI?”
Zuckerberg: “Our vision is that there should be a lot of different AI out there and AI services, not just one singular AI... I think we're going to live in a world where there are going to be hundreds of millions or billions of different AI agents eventually, probably more AI agents than there are people in the world.“
Zuckerberg added: “Every business in the future, just like they have an email address, a website, and a social media presence today, is going to have an AI agent that their customers can talk to in the future.”
Cheung: “What factors do you think will be crucial in changing anti-AI perspectives?”
Zuckerberg: “I think [open source] is important because if this develops in a way where it's just a small number of companies that build the products and benefit and people use the products and maybe they like talking to an AI assistant and that's valuable for them, but if this doesn't in some way help lift all boats, then I think you end up eventually getting a backlash.”
Why it matters: Zuckerberg's vision challenges the idea of a singular, dominant AI system. He advocates for "a lot of different AI out there and AI services, not just one singular AI," aiming to democratize AI. This approach could foster widespread innovation and address societal concerns. As he warns, "If this doesn't in some way help lift all boats, then I think you end up eventually getting a backlash."
GO DEEPER
INTERVIEW
🎥 Watch the full interview live
In the full interview with Mark Zuckerberg & Rowan Cheung:
Dive deep into the technical aspects of Llama 3.1 and its potential applications
Understand the challenges and opportunities of open-source AI development
Hear Zuckerberg's thoughts on AI regulation and ethical considerations
Get full insights on Meta's AI strategy and future product roadmap
Grok 3.0 is coming
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Welcome, AI enthusiasts.
Elon Musk’s AI startup, xAI, only announced its inception just over a year ago — and now they’re firing up 100k GPUs to create the "world's most powerful AI" by December.
s xAI seriously about to become a top competitor in the AI race, or is this just another moonshot? Let's investigate…
In today’s AI rundown:
The "world's most powerful" supercomputer
Google’s AI-powered weather model
Transform images in seconds with Freepik Expand
MIT's AI identifies breast cancer risk
6 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
XAI
🚀 The "world's most powerful" supercomputer
Image source: xAI via X
The Rundown: Elon Musk and xAI just announced the Memphis Supercluster — “the most powerful AI training cluster in the world“, also revealing that Grok 3.0 is planned to be released in December and should be the most powerful AI in the world.
The details:
Musk tweeted that xAI just launched the "Memphis Supercluster," using 100,000 Nvidia H100 GPUs, making it "the most powerful AI training cluster in the world."
The xAI founder also revealed that Grok 2.0 is done training and will be released soon.
The supercluster aims to create the "world's most powerful AI by every metric", Grok 3.0, by December 2024.
In a separate tweet yesterday, Musk also revealed that Tesla plans to have humanoid robots in "low production" for internal use next year.
Why it matters: Love him or hate him, the speed at which Elon and the team at xAI operate has been wild to witness. If estimates are accurate, xAI might be on track to create the most powerful AI systems in the world by year's end — solidifying its position as one of the top competitors in the space and not just another AI startup.
TOGETHER WITH ENCORD
🧹 Clean data: The secret ingredient for AI success
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GOOGLE AI
🌦️ Google’s AI-powered weather model
Image source: Google Research
The Rundown: Google researchers have developed a new AI-powered weather and climate model called ‘NeuralGCM’ by combining methods of machine learning and neural networks with traditional physics-based modeling.
The details:
NeuralGCM has proven more accurate than purely machine learning-based models for 1-10 day forecasts and top extended-range models.
NeuralGCM is up to 100,000 times more efficient than other models for simulating the atmosphere.
The model is open-source and can run relatively quickly on a laptop, unlike traditional models that require supercomputers.
Why it matters: At up to 100,000 times more efficient than traditional models — NeuralGCM could dramatically enhance our ability to simulate complex climate scenarios quickly and accurately. While still a ton of adoption challenges ahead, it’s a big leap forward for more informed climate action and resilience planning.
AI TRAINING
🎨 Transform images in seconds with Freepik Expand
The Rundown: Freepik Expand allows users to seamlessly adapt images when zooming or resizing by filling the gaps with AI.
Step-by-step:
Head over to Freepik and upload any image.
Choose an aspect ratio and adjust on the canvas.
Add a prompt for custom fills, hit “Expand” and select your favorite generated image.
Enhance your image with Freepik’s AI tools: Upscaler for sharper details, Retouch for edits, and Reimagine for variations.
P.S. You can use the code EXPAND for a free Premium trial, exclusive to the 100 first Rundown readers.
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📊 Tame your AI’s unstructured data
The Rundown: DataChain is a new open-source tool designed to address the challenges of managing unstructured data in AI projects — providing a framework for developers to handle complex datasets more efficiently.
DataChain offers features for:
Sourcing, curating, and versioning data from cloud locations at scale
Integrating metadata from JSON, parquet, and CSV sources
Accelerating AI model inferences through parallelization
Simplifying AI output management with Python integration
Ready to supercharge your data workflow? Try DataChain out here and star the repo today!
AI RESEARCH
🧬 MIT's AI identifies breast cancer risk
Image source: Health & Pharma
The Rundown: Researchers from MIT and ETH Zurich have developed an AI model that can identify different stages of ductal carcinoma in situ (DCIS), a type of preinvasive breast tumor, using simple tissue images.
The details:
The model analyzes chromatin images from 560 tissue samples (122 patients), identifying 8 distinct cell states across DCIS stages.
It considers both cellular composition and spatial arrangement, revealing that tissue organization is crucial in predicting disease progression.
Surprisingly, cell states associated with invasive cancer were detected even in seemingly normal tissue.
Why it matters: This AI model could democratize advanced breast cancer diagnostics, offering a cheaper, faster way to assess DCIS risk. While clinical validation is still needed, AI is likely going to work hand-in-hand with pathologists in the near future to catch cancer earlier and more accurately.
NEW TOOLS & JOBS
Trending AI Tools
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🎨 UltraPixel - Generate up to 4096x4096 px ultra high resolution images
🏰 Rodin Gen-1 3D ControlNets - Generate 3D models from a structure reference
New AI Job Opportunities
🧠 Meta - Research Scientist, Computer Vision (PhD)
📈 Metropolis - Director, Technical Sales
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Lambda - Machine Learning Researcher
QUICK HITS
NVIDIA is reportedly working on a version of its new flagship AI chips for the Chinese market that would be compatible with the restrictions around current U.S. export controls.
Elon Musk revealed in a tweet that Tesla will have humanoid robots working internally next year at Tesla, with high production for other companies expected in 2026.
Cohere announced a new funding round of $500M from investors including Cisco, AMD, and Fujitsu, bringing its new valuation to a whopping $5.5B.
The Monetary Authority of Singapore committed $74.3M to support financial institutions in building capabilities towards quantum computing and artificial intelligence.
Scaled Foundations, a research company building ‘General Robot Intelligence’, announced GRID Beta, a free and cloud-based IDE to develop AI for robots.
Disney Research published a new paper on its famous bipedal robots, explaining the system that combines expressive motions and dynamic mobility to make the robots particularly lifelike.
THAT’S A WRAP
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OpenAI plans its own AI chip
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Welcome, AI enthusiasts.
OpenAI is gearing up to break free from Nvidia's chip stranglehold, eyeing its latest venture into developing its very own custom AI chips.
Is this just another tech innovation race — or does the path toward AGI face a serious compute / supply challenge? Let’s investigate…
In today’s AI rundown:
OpenAI wants its own AI chip
The state of AI humanoids and robotics
How to test and customize GPT-4o mini
Apple’s new 7B open-source AI model
6 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
OPENAI
🤖 OpenAI wants its own AI chip
Image source: Bryce Durbin / TechCrunch
The Rundown: OpenAI is reportedly in talks with chip designers like Broadcom to develop its own AI chip, aiming to reduce dependence on scarce and expensive GPUs from Nvidia.
The details:
OpenAI has already hired former Google employees who worked on Google’s tensor processing unit (Google’s AI chip).
The ChatGPT maker has been talking to chip designers including Broadcom, however production of the new chip isn't expected until 2026 at the earliest.
The company is exploring various chip packaging and memory components to optimize performance.
OpenAI is also considering creating new companies with outside investors to finance infrastructure like data centers.
Why it matters: This move isn't just about OpenAI playing chip designer — it's a power play. By developing its own chips, OpenAI could break free from the GPU shortage bottleneck, potentially supercharging its mission towards AGI.
TOGETHER WITH HELPSCOUT
🪄 AI isn’t a magic wand for customer service
The Rundown: While every company is jumping on the AI bandwagon, 64% of customers prefer companies that don’t use it for service. Bottom line — half-baked AI tools can compromise your customer experience.
Help Scout’s support platform is made for customer-first teams, featuring:
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COATUE
🤖 The state of AI humanoids and robotics
Image source: Coatue
The Rundown: Coatue Management, an investment firm with over $70B assets under management, has released a comprehensive report on the current state and future prospects of AI humanoids and robotics.
The details:
Coatue argues that robotics won't have a sudden "ChatGPT-like" moment due to restricting factors such as physical limitations to adoption, high upfront costs, and a nascent ecosystem.
2023 saw a surge in new robotics companies, with over 20 launching humanoid initiatives since 2021 — which is expected to continue in 2024.
The report predicts that AI and quality training data, rather than hardware, will be the key differentiator for humanoids.
Coatue envisions robots going through a progression from warehouse and store automation to more complex tasks like firefighting, surgery, and in-home assistance.
Why it matters: While we might not see a robot butler in every home overnight, Coatue's analysis suggests we're on the cusp of a gradual yet profound transformation. As AI and robotics capabilities increase, many industries, from manufacturing to healthcare, will be completely reshaped.
AI TRAINING
⚙️ How to test and customize GPT-4o mini
The Rundown: Last Thursday, OpenAI revealed the GPT-4o mini, a compact version of its flagship GPT-4o model. While the model is slowly rolling out into ChatGPT accounts, the OpenAI Playground lets you access and customize the model instantly.
Step-by-step:
Go to OpenAI’s Playground and sign in with your credentials.
On the left side, click where it says “Chat”.
Click on the Models dropdown menu and select “gpt-4o-mini”.
Enter a prompt where it says “User,” play around with the different parameters (e.g., system prompt, temperature, or maximum length), and personalize your outputs.
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APPLE
🍎 Apple’s new 7B open-source AI model
Image source: Ideogram / The Rundown
The Rundown: Apple just unveiled a new 7 billion parameter open-source AI model, dubbed DCLM-7B, that outperforms Mistral 7B and closes in on other leading open models like Llama 3 and Gemma across key benchmarks.
The details:
The DCLM-7B model achieves 63.7% 5-shot accuracy on MMLU, surpassing Mistral 7B and nearing performance of Llama 3 and Gemma.
Apple open-sourced not just the model weights and training code, but also the complete pretraining dataset.
The model was trained on 2.5 trillion tokens using pretraining recipes based on the OpenLM framework.
The model was released alongside the family of DCLM models, and are available on Hugging Face.
Why it matters: While Apple has been a bit slow to the open-source hype train, developers from around the world will still appreciate the unexpected open dataset. What this means is that researchers and developers now have open access to not just the model, but the entire process behind its creation.
NEW TOOLS & JOBS
Trending AI Tools
💬 GPT-4o mini - OpenAI’s latest model that tops GPT-3.5 turbo in efficiency and pricing
🔎 Cohesive AI - AI-powered web scraping and research in Google Sheets
🖼️ Immersity AI - Convert 2D images to 3D motions and videos
📧 Proton Scribe - Privacy-first email writing assistant with end-to-end encryption
🚀 Shaped - Increase engagement and conversion with adaptive recommendations
🎬 Kapkap - AI-powered dynamic video subtitle editor
New AI Job Opportunities
🎨 Character AI - Brand Designer
🔬 Waymo - Research Scientist, Foundation Models for Simulation and Planning
🌐 Glean - Community Manager
🤖 Fiddler AI - Machine Learning Engineer
QUICK HITS
Anthropic is reportedly working on a new screenshot tool for Claude, potentially allowing users to seamlessly take screenshots from other screens or tabs.
Electronic Arts created digital clones of 11,000 college football players for their upcoming video game in 3 months — using AI to create the avatars using athletes’ headshot photographs.
California state legislators are pushing for a proposed bill that would require big tech companies to test AI for "catastrophic" risks before public release.
Ukraine is reportedly developing AI-enabled war drones, aiming to overcome Russian signal jamming and enable swarm operations on the battlefield.
AMD claims its new laptop chips can outperform Apple's M3 — boasting improved performance in multitasking, image processing, and gaming.
Google is reportedly developing a ‘Prompts Gallery‘ to allow users to curate a collection of favorite prompts and get inspiration from other users within it’s Gemini chatbots.
Perplexity rolled out Voice Mode to it’s AI assistant on its iOS app, allowing Pro users to chat and ask questions to the AI search engine through various voice modes.
THAT’S A WRAP
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