Good morning ☀️, leader of the next gen.

The future belongs to you. Let’s make conscious leadership the norm and embrace innovation as the driving force for positive change 🌍✨

WHAT’S AT STAKE TODAY ⚡

• 💻🚀 Elon Musk's xAI launches an API for Grok 3. Developer access to Musk's AI finally arrives!
• 🧠💭 OpenAI updates ChatGPT to reference your other chats. AI assistant gets a better memory!
• 🖼️✨ Imagerr.AI enters the AI tool spotlight. Another helper wants your visual attention!
• ☁️🔬 Ilya Sutskever taps Google Cloud to power his AI startup's research. OpenAI co-founder picks cloud provider!
• 💻🌍 Nvidia's H20 AI chips may be spared from export controls for now. GPU diplomacy scores a win!
• 🤝📊 Google says it'll embrace Anthropic's standard for connecting AI models to data. Tech giants find common ground!
• 💰🛡️ AI insurtech Ominimo bags its first investment at a $220M valuation. Insurance gets algorithmic boost!
• 📈💸 The rise of AI reasoning models is making benchmarking more expensive. Smarter AI costs more to test!
• 🧯💻 Incident.io raises $62M at a $400M valuation to help IT teams move fast when things break. Digital firefighters get funded!

⚡ Latest in AI

Elon Musk’s AI company, xAI, launches an API for Grok 3

Musk’s xAI expands commercial reach with Grok 3 API and premium pricing

xAI has launched a developer API for Grok 3 and Grok 3 Mini, Musk’s reasoning-capable AI models. The premium-tiered pricing puts it on par with Claude but above Gemini 2.5, signaling a bid for the high-performance market.

Despite marketing claims of a 1M token context window, developers noted actual limits closer to 131K tokens, raising concerns about transparency. The API arrives as Musk battles OpenAI in court and expands his control through X integration.

Grok 3's unfiltered branding clashes with its surprisingly moderate answers, exposing challenges in aligning model behavior with stated goals. xAI’s strategy to merge reasoning features with political neutrality remains a work in progress.

As xAI targets enterprise developers and scales infrastructure, its success will hinge on stability, documentation, and trust—key elements already mastered by OpenAI, Google, and Anthropic.

⚡ The companies of the future

OpenAI updates ChatGPT to reference your past chats

OpenAI ChatGPT Memory Update

OpenAI is rolling out a new memory feature in ChatGPT that allows the chatbot to reference users' previous conversations to provide more personalized responses.

The "reference saved memories" feature will enhance text, voice, and image-generation capabilities by maintaining conversational context across interactions. Initially available to ChatGPT Pro and Plus subscribers, the feature is not yet accessible to users in the UK, EU, Iceland, Liechtenstein, Norway, and Switzerland due to regulatory requirements.

Users can manage privacy by disabling the feature in settings, deleting specific saved memories, asking ChatGPT what it remembers, or using Temporary Chat for conversations they don't want stored. This update builds on OpenAI's previous memory capabilities but makes the process more seamless, with the feature enabled by default for users who previously had memory features activated.

Why it matters: As ChatGPT evolves into a true digital assistant, persistent memory will be key to offering more personalized and helpful interactions—raising both opportunities and privacy considerations.

⚡ Automate Image Metadata for SEO and Accessibility

Imagerr AI uses advanced AI—including the ChatGPT 4o mini API—to automatically generate ALT texts, titles, descriptions, and captions for images. Whether in bulk or one click at a time, it simplifies metadata creation to support SEO and accessibility.

With a WordPress plugin, multilingual support, and customizable formatting, it's perfect for content creators and web teams. Free credits included and a 30-day money-back guarantee.

⚡ More AI Bites

1. ☁️🔬 Ilya Sutskever taps Google Cloud to power his AI startup's research. OpenAI co-founder picks cloud provider!
2. 🧠🌍 Nvidia's H20 AI chips may be spared from export controls for now. GPU diplomacy scores a win!
3. 🔗🤝 Google says it'll embrace Anthropic's standard for connecting AI models to data. Tech giants find common ground!
4. 📈🧾 AI insurtech Ominimo bags its first investment at a $220M valuation. Insurance gets algorithmic boost!
5. 🧠💰 The rise of AI reasoning models is making benchmarking more expensive. Smarter AI costs more to test!
6. 🚨💻 Incident.io raises $62M at a $400M valuation to help IT teams move fast when things break. Digital firefighters get funded!

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⚡ Trends for the Future

YouTube Debuts AI-Powered Tool to Instantly Compose Custom Music for Creators

YouTube’s new Music Assistant simplifies soundtrack creation

The details:

YouTube is expanding its generative AI capabilities with the launch of Music Assistant, a new feature enabling creators to produce royalty-free instrumental tracks using simple text prompts. Integrated into the platform's Creator Music marketplace, this tool aims to make adding original background music to videos more accessible and affordable.

Music Assistant allows users to describe their desired soundtrack through a free-text field, specifying details such as mood, instruments, and content type. For example, creators might request "uplifting cinematic music with strings and piano" or "chill beats with a mellow vibe." Based on these descriptions, YouTube's AI generates multiple custom tracks that creators can download and use without concerns about copyright claims.

This development significantly expands YouTube's Creator Music platform, which launched in 2023 to simplify music licensing. While the platform previously offered pre-licensed tracks for purchase or free use, the addition of AI-generated music provides a flexible, cost-free alternative for content creators.

Currently, Music Assistant is being gradually rolled out to YouTube Partner Program participants in the United States. Users with access will find the tool within the Creator Music section of YouTube Studio. The company has not yet announced plans for international availability.

The new feature builds upon YouTube's earlier generative AI experiment, Dream Track, which allowed users to create short 30-second audio clips in the style of popular artists using DeepMind's Lyria model. However, Music Assistant focuses specifically on longer instrumental tracks suitable for various video formats.

As YouTube integrates more AI tools into its creative ecosystem, Music Assistant is positioned to streamline music production for content creators while offering an accessible, copyright-safe alternative to traditional stock music and licensing arrangements.

What makes this crucial: YouTube’s Music Assistant could redefine how creators source background music—offering a faster, cheaper, and legal way to enhance their content using AI-generated custom soundtracks.

⚡ Women Powerhouse Event

Women in AI: Redefining the Future of Technology

Women powerhouse all under one single event 🤩

About the event:

Women in AI is a dynamic panel showcasing how women have successfully created efficiency in their processes by leveraging technology in their business and personal lives.

Be there and support women with a great cause

Event Details:

📅 Date: April 14, 2025

📍 Location: The Moore, Miami

🔗 Register here:Sign up now

Do you have a business problem keeping you up at night?

Here’s your chance to get it solved! Share your most staggering challenges with us, and I’ll use the power of AI to find solutions tailored just for you. I’ll feature the answers in one of our upcoming Supercharged issues—let’s tackle it together!

📈 AI Playground: Elevate Your Data Analytics 📈

🔧 This Week’s Tool: SAS Viya 🔧

Overview: SAS Viya is an advanced AI, analytics, and data management platform developed by SAS Institute. It offers a comprehensive suite of tools designed to facilitate data analysis, machine learning, and model deployment across various environments. By integrating open-source compatibility and cloud-native architecture, SAS Viya empowers organizations to make data-driven decisions efficiently. 🚀

Why Is It Better Than Other Tools? ✨

• ⚡ Open-Source Integration: Seamlessly integrates with popular open-source tools like Python, R, and Jupyter, allowing data scientists to leverage existing code and methodologies.
• ☁️ Cloud-Native Architecture: Designed for cloud deployment, offering scalability and flexibility to meet the evolving needs of businesses.
• 🛡️ Comprehensive Governance: Provides robust features for detecting algorithmic bias, auditing decisions, and monitoring models, ensuring ethical and responsible AI deployment.
• 📊 Advanced Analytics: Utilizes econometrics and machine learning to create predictive models, enabling organizations to forecast scenarios based on complex data.

What Does It Do Best? 🌟

• 📈 Predictive Modeling: Develops accurate forecasts and simulations to support strategic planning and decision-making.
• 🔍 Fraud Detection: Identifies unusual patterns and anomalies in data to detect and prevent fraudulent activities.
• 🛠️ Data Management: Offers tools for data cleansing, transformation, and integration, ensuring high-quality data for analysis.
• 📉 Risk Assessment: Evaluates potential risks by analyzing historical data, aiding in proactive risk management strategies.

Applications 💼:

• 🏦 Financial Services: Enhances credit scoring models, detects fraudulent transactions, and manages financial risks.
• 🏥 Healthcare: Assists in patient data analysis, disease prediction, and healthcare resource optimization.
• 🛒 Retail: Analyzes customer behavior to optimize inventory, pricing strategies, and personalized marketing.
• 🚚 Manufacturing: Predicts equipment failures and optimizes maintenance schedules to reduce downtime.

Follow This Simple Guide to Get Started with SAS Viya:

1. 🌐 Visit the Website: Go to SAS Viya to learn more about the platform.
2. 🔗 Explore Documentation: Access comprehensive resources and tutorials to understand the platform's capabilities.
3. 🛠️ Set Up Environment: Utilize cloud providers like AWS, Google Cloud, or Microsoft Azure to deploy SAS Viya.
4. 📊 Integrate Data Sources: Connect your existing data repositories to SAS Viya for seamless data analysis.
5. 🤖 Develop Models: Use the integrated tools to build, train, and validate machine learning models.
6. 🚀 Deploy and Monitor: Deploy models into production and monitor their performance to ensure accuracy and reliability.

SAS Viya empowers organizations to harness the power of AI and analytics, driving innovation and informed decision-making. 🌟

💡 Challenge: Utilize SAS Viya to analyze a dataset relevant to your industry and share the insights gained. Discover how it can transform your data analytics processes and enhance business outcomes! 🚀