Hello, AI Lovers!

Your daily AI brief is here to kickstart your day with the top stories you need to know.

In today’s AI Shorts:

• Spotify Partners with ElevenLabs for AI Voices & other top stories

• Learn ChatGPT – Extract & Analyze Data Effortlessly with ChatGPT’s Scraper Plugin

• Learn to Turn Prospects into Clients with AI-Driven Outreach in Lemlist

• Learn to Discover 5 new AI tools

• Other top stories in AI

• Opinions on AI across the web

Let’s dive in and get you up to speed.

TOP STORIES

1. Google Unveils AI Research Assistant to Boost Scientific Discoveries

   Google Research has developed an AI system named AI Co-Scientist, built on Google’s Gemini 2.0 model, to accelerate scientific breakthroughs. The system collaborates with human researchers to generate, evaluate, and refine hypotheses. It’s already shown promise in identifying new drugs, treatment targets, and explaining antibiotic resistance. However, it requires improvement in literature search capabilities, fact-checking, and evaluation methods. A trusted tester program is planned for further development.

   Read in detail here.

2. Microsoft Unveils Muse, an AI That Can Dream Up Gaming Scenarios

   Microsoft has introduced Muse, an AI model that generates video game visuals and controller actions. Developed in collaboration with Xbox Games Studios’ Ninja Theory, Muse can create consistent and complex gameplay sequences. It demonstrates a strong understanding of game dynamics and physics. Researchers can access Muse’s model weights, sample data, and WHAM Demonstrator tool on Azure AI Foundry to innovate further.

   Read in detail here.

3. Spotify Partners with ElevenLabs to Expand AI-Narrated Audiobooks

   Spotify now supports audiobooks narrated using ElevenLabs’ AI voice technology. Authors can upload AI-narrated audiobooks via Spotify’s Findaway Voices after downloading files from ElevenLabs. This partnership aims to increase AI-narrated audiobook quantity. Authors can narrate in 29 languages, with Pro plans offering up to 500 minutes of narration monthly. The collaboration is likely to spark debates over audiobook quality in the publishing community.

   Read in detail here.

4. EU AI Act Leaves Creators Exposed with Copyright Loophole

   EU’s new AI Act, aimed at regulating AI, has left a significant copyright loophole. Cultural organizations criticize the act for not adequately protecting authors and creators, allowing big tech to exploit intellectual property under a text and data mining exemption. Axel Voss, an EU copyright architect, urges for new legislation to close this gap, but it may take years to enact.

   Read in detail here.

Hire Ava, the Industry-Leading AI BDR

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• 300M+ High-Quality B2B Prospects

• Automated Lead Enrichment With 10+ Data Sources Included

• Full Email Deliverability Management

• Personalization Waterfall using LinkedIn, Twitter, Web Scraping & More

Book a demo to see what Ava can do.

AI MASTERY

CHATGPT MASTERY

Extract & Analyze Data Effortlessly with ChatGPT’s Scraper Plugin

Did you know that ChatGPT can be enhanced with the “Scraper” plugin to extract and analyze data from websites directly within your conversation? This feature is particularly useful for gathering information, conducting research, or monitoring web content without the hassle of manual browsing.

HOW TO SET IT UP:

1. Launch ChatGPT: Open ChatGPT in your browser.

2. Activate Plugin: Enable the “Scraper” plugin within the ChatGPT interface.

3. Provide URL: Enter the URL of the webpage you want to analyze.

4. Specify Data to Extract: Clearly state what information you wish to extract, such as:

   • “Extract product pricing and reviews from this page.”

   • “Gather job listings and details from this job board.”

5. Receive Extracted Data: Review the extracted data presented in the chat for easy analysis and comparison.

Why It’s Useful: The Scraper plugin allows you to streamline data collection, making it easier to conduct competitive analysis, market research, or track job opportunities—all from a single platform.

Pro Tip: Tailor your extraction requests based on your specific needs—whether you’re looking for summaries, detailed statistics, or comparisons. This customization enhances the relevance and utility of the information you gather.

AI TUTORIAL

Turn Prospects into Clients with AI-Driven Outreach in Lemlist

Lemlist is a powerful outreach platform specifically designed for email, LinkedIn, and phone call campaigns. It helps you create sequences of emails to engage and close deals with potential customers. The standout feature of Lemlist is its AI enrichment tools that streamline the lead generation and outreach process.

Step-by-step:

1. Sign up for Lemlist: Create an account at lemlist.com.

2. Import Leads: Upload a list of potential customers or search for leads in their database.

3. Create a Campaign: Start a new campaign and select your leads.

4. Use AI Enrichment: Activate AI tools to clean and verify lead data, ensuring accuracy.

5. Personalize Outreach: Choose from pre-made templates or let AI generate a tailored email sequence.

6. Set Email Sequence: Schedule your emails and follow-ups for automated outreach.

7. Activate Your Campaign: Launch the campaign and watch as it reaches out to leads automatically.

8. Monitor Performance: Track engagement metrics through the dashboard and optimize your strategy based on the results.

Pro Tip: Regularly update your lead list and refine your email sequences based on feedback and performance data to improve engagement rates continually.

DISCOVER NEW AI TOOLS

1. Pebblely – AI-powered product photography tool that generates stunning backgrounds and lighting for product images. Helps eCommerce businesses create professional product images without a photoshoot.

2. MagickPen – AI writing assistant that generates high-quality content, summaries, and paraphrased text. Great for bloggers, marketers, and students who need fast, high-quality writing support.

3. Passio AI – AI-powered real-time image recognition and object detection platform. Ideal for retail, health, and security applications that need instant AI-powered insights.

4. PimEyes – AI-powered facial recognition search engine that finds images of people across the internet. Useful for privacy management, security, and verifying online presence.

5. Dream Interpreter AI – AI-driven dream analysis tool that interprets dream meanings based on symbolic associations. Helps users gain insights into their subconscious through AI-generated dream interpretations.

OTHER STORIES

OTHER TOP STORIES

1. Nvidia Unveils AI Platform for American Sign Language Learning

   Nvidia, with partners, introduces Signs, an AI-driven platform that aids in learning and developing applications for American Sign Language (ASL). It provides a validated dataset and real-time feedback to bridge communication gaps.

   Read in detail here.

2. Microsoft CEO Satya Nadella Calls for AI Practicality Over Hype

   Microsoft CEO Satya Nadella stresses AI’s true value lies in measurable economic growth, not speculative benchmarks. He criticizes AI hype, urging the tech industry to focus on practical, profitable applications before investors lose patience.

   Read in detail here.

3. Elon Musk’s xAI Expands with $700 Million Data Center in Atlanta

   xAI, Elon Musk’s AI venture, has built a $700 million data center in Atlanta, equipped with 12,000 GPUs. This expansion aims to boost the capabilities and performance of its AI projects.

   Read in detail here.

4. CEO of Clearview AI Resigns Amid Controversies

   Clearview AI’s CEO, Hoan Ton-That, has resigned but will remain on the board. The facial recognition startup faces significant challenges, including privacy suits and GDPR fines. Co-founders take on new leadership roles to pursue opportunities.

   Read in detail here.

5. Lam Research Introduces Advanced Tools for AI Chip Manufacturing

   Lam Research launches two new tools, ALTUS Halo and Akara, for creating advanced AI chips. These tools enhance chip performance and enable next-gen semiconductor devices, aiming to meet growing global semiconductor demand.

   Read in detail here.

6. Voltron Data Partners with Accenture to Solve AI Data Processing Bottlenecks

   Voltron Data’s partnership with Accenture aims to address the data preparation challenges in AI by leveraging GPU-accelerated analytics. The collaboration enhances AI capabilities and efficiency, crucial for the rapidly growing AI industry.

   Read in detail here.

7. Overland AI Opens New Factory in Seattle for Autonomous Vehicles

   Overland AI has launched a 22,000 square-foot facility in Seattle to manufacture autonomous ground systems. The factory aims to enhance production, support the U.S. military, and leverage local robotics and machine learning talent.

   Read in detail here.

8. Codeium AI Coding Startup Raises $3B Valuation

   AI coding startup Codeium is raising a new funding round at a $2.85 billion valuation, led by Kleiner Perkins. The company competes with AI coding assistants like Microsoft’s GitHub Copilot and others.

   Read in detail here.

9. Figure AI Unveils Humanoid Robots with Advanced Voice Command Control

   Figure AI’s Helix system enables robots to perform complex tasks through voice commands, managing 35 degrees of freedom. These robots adapt to new situations and can handle unfamiliar objects without prior training.

   Read in detail here.

10. Crunchbase AI Predicts Startup Success with 95% Accuracy

    Crunchbase shifts to an AI-powered platform predicting startup funding, acquisitions, and growth with 95% accuracy. The San Francisco-based company’s AI analyzes massive datasets to forecast business events, revolutionizing investment decision-making.

    Read in detail here.

OPINIONS

1. Microsoft’s AI Study – Ethical Stance or Marketing Strategy?

   Microsoft’s recent study on AI-induced skill atrophy sparks debate. Some see it as a genuine scientific inquiry, while others suspect it’s a marketing ploy to position the company as a leader in responsible AI use amid an $80 billion AI investment.

   Read in detail here.

2. Elon Musk’s AI Fear Reflects Deeper Societal Anxiety

   Elon Musk’s fear of AI-driven chaos echoes a broader societal anxiety about losing control. The frequent question, “Can AI take over the world?” reveals deep-seated fears about power dynamics and our reluctance to embrace the natural chaos of life.

   Read in detail here.

3. Premature AI Alarmism Mirrors Early Cyber War Fears

   The escalating fear of AI-driven cyber threats is reminiscent of past cyber war anxieties. While concerns grow over AI misuse, the risk lies in over-securitizing AI, drawing resources from real issues like food security, natural disasters, and disinformation.

   Read in detail here.

4. DeepSeek Emergence Highlights Need for AI Regulation

   DeepSeek, a new AI chatbot rivaling ChatGPT, has ignited debates on AI ethics and intellectual property, particularly due to its distillation method of training. The open-source model’s cost-effectiveness challenges tech investments and raises concerns about censorship and data security.

   Read in detail here.