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WHAT’S AT STAKE TODAY ⚡

• ⚖️📚 OpenAI wants 'fair use' legal protection for AI training. Law needs digital update!
• ✈️💫 Archer and Palantir team up for aviation AI. Flying gets algorithmic upgrade!
• ✨🔊 Auralis AI joins the tool parade. Another AI helper wants spotlight!
• 💰📜 Bria secures funding for licensed data models. Copyright-friendly AI gets cash!
• 🇸🇬🚔 Singapore grants bail in Nvidia chip smuggling case. $390M GPU drama continues!
• 📈🤖 UiPath acquires Peak for agentic AI growth. Automation company levels up!
• 🧠🔍 Google wants Gemini to get more personal. AI assistant craves your secrets!
• 👤🤝 Five9 research shows human-AI balance crucial. Customer service needs both!
• 🚫🎭 Murthy slams fake AI branding. Tech veteran calls out marketing nonsense!

⚡ Latest in AI

OpenAI calls for US government to codify ‘fair use’ for AI training

OpenAI pushes for AI training fair use protections

OpenAI has called on the U.S. government to explicitly codify "fair use" protections for artificial intelligence training in its submission to the Trump administration's "AI Action Plan," positioning copyright policy as a critical factor in maintaining American leadership in artificial intelligence. The company's stance highlights the intensifying debate over intellectual property rights in the age of generative AI, with significant implications for content creators, technology companies, and the future regulatory landscape.

"America has so many AI startups, attracts so much investment, and has made so many research breakthroughs largely because the fair use doctrine promotes AI development," OpenAI stated in its proposal. This assertion frames permissive copyright interpretation as not merely a business convenience but a foundational element of U.S. technological competitiveness.

The company's advocacy for preserving "American AI models' ability to learn from copyrighted material" comes amid a growing number of high-profile lawsuits from content creators and publishers who allege that OpenAI and other AI developers have used their works without permission or compensation. These legal challenges include suits from major organizations like The New York Times and prominent authors such as George R.R. Martin, raising fundamental questions about the boundaries of fair use in the digital age.

This is not OpenAI's first foray into copyright policy advocacy. In a 2024 submission to the United Kingdom's House of Lords, the company argued that restricting AI training to public domain content "might yield an interesting experiment, but would not provide AI systems that meet the needs of today's citizens." This consistent position across jurisdictions demonstrates OpenAI's strategic priority of securing favorable legal frameworks for data access.

The fair use doctrine in U.S. copyright law provides limited exceptions to copyright protection, allowing for the use of copyrighted materials without permission under certain circumstances, particularly for purposes like criticism, commentary, news reporting, teaching, scholarship, or research. However, its application to AI training remains legally ambiguous, with courts still working through cases that will likely establish precedents in this emerging area.

Legal experts are divided on whether mass ingestion of copyrighted works for AI training constitutes fair use. "The application of fair use to AI training data presents novel questions that don't fit neatly into existing precedents," explained Dr. Sarah Chen, intellectual property scholar at Stanford Law School, who was not involved in OpenAI's proposal. "Courts will need to weigh factors like how transformative the use is, the nature of the copyrighted works, the amount used, and the impact on the market for the original works."

The debate extends beyond legal technicalities to fundamental questions about value distribution in the digital economy. Content creators argue that their works provide essential training material that enables AI systems to function, and that using this material without compensation constitutes a form of exploitation. They contend that the commercial AI systems that result from this training can potentially reduce demand for human-created content, threatening their livelihoods.

AI developers counter that training constitutes transformative use that doesn't compete with or replace the original works. They argue that restricting access to training data would significantly hamper AI innovation, potentially giving advantages to countries with less restrictive copyright regimes. This position aligns with OpenAI's assertion that America's technological leadership is tied to its historically flexible approach to fair use.

Why it matters: The timing of OpenAI's proposal is particularly significant as the Trump administration develops its AI Action Plan, expected to reshape federal AI policy. The administration has indicated a focus on reducing regulatory barriers to AI development while addressing national security concerns, particularly regarding competition with China. OpenAI's framing of copyright policy as a competitive advantage issue appears calibrated to resonate with these priorities.

As courts continue to hear cases and policymakers consider regulatory frameworks, the fundamental tension remains unresolved: how to foster technological innovation while ensuring fair compensation for the human creativity that makes it possible. OpenAI's advocacy for codifying fair use protections represents one position in this complex debate, but the ultimate resolution will likely require nuanced approaches that acknowledge both the transformative potential of AI and the legitimate interests of content creators.

⚡ The companies of the future

Archer and Palantir to Build the AI Foundation for the Future of Next-Gen Aviation Technologies

Archer and Palantir AI Partnership

Archer Aviation and Palantir Technologies have announced a partnership to develop AI solutions for next-generation aviation technologies. The collaboration will initially focus on using Palantir's Foundry and AIP platforms to accelerate Archer's aircraft manufacturing capabilities at facilities in Georgia and Silicon Valley.

The companies plan to develop AI-powered software for critical aviation systems including air traffic control, movement control, and route planning to improve efficiency, safety, and affordability.

Palantir CEO Alex Karp and Archer CEO Adam Goldstein formalized the partnership at Palantir's AIPCon, with both executives highlighting how this collaboration aims to transform an aviation industry that has previously seen only incremental technological advancements over decades.

Why it matters: The fusion of AI and aviation could revolutionize air mobility, making flights smarter, safer, and more efficient, paving the way for fully autonomous aircraft operations in the future.

⚡ What is Auralis AI Used For?

Auralis AI: Automating Customer Support for Scalable Growth

Auralis AI automates customer interactions

Auralis AI is an AI-powered customer support platform designed to automate and enhance customer interactions. It can handle up to 70% of inquiries automatically, providing instant, 24/7 support in over 100 languages.

Using advanced AI models, Auralis AI understands customer intent, analyzes data, and delivers context-aware responses. Businesses use it to reduce operational costs, improve efficiency, maintain consistent support quality, and scale their customer service operations without hiring additional staff.

⚡ More AI Bites

1. 💼 📝 Bria lands new funding for AI models trained on licensed data.
2. 🇸🇬 ⚖️ Singapore grants bail for Nvidia chip smugglers in alleged $390M fraud.
3. 🤖 📈 UiPath looks for a path to growth with Peak agentic AI acquisition.
4. 🔍 👤 Google wants Gemini to get to know you better.
5. 🎯 👥 New Five9 Research Reveals Balancing AI with Human Connection is Key to Winning Customer Experience.
6. 💻 ⚠️ Narayana Murthy slams tech companies for branding ordinary software as AI.

⚡ Trends for the Future

Sesame Releases Open-Source AI Model Behind Its Realistic Voice Assistant Maya

Sesame AI Voice Model

The details:

Sesame, the AI company that garnered attention for its lifelike virtual assistant Maya, has released the underlying base model to the public. Named CSM-1B, the model contains 1 billion parameters and is being distributed under the Apache 2.0 license, which permits commercial use with minimal restrictions.

According to Sesame's description on the AI development platform Hugging Face, CSM-1B generates "RVQ audio codes" from text and audio inputs. RVQ, or residual vector quantization, is a technique for encoding audio into discrete tokens that has been employed in several recent AI audio technologies, including Google's SoundStream and Meta's Encodec.

The model's architecture combines a backbone from Meta's Llama family with an audio decoder component. Sesame indicates that a fine-tuned variant of CSM powers their Maya assistant, which went viral in late February for its remarkably human-like speech patterns, including natural breathing, verbal hesitations, and the ability to be interrupted mid-sentence—features similar to those found in OpenAI's Voice Mode.

Notably, CSM-1B comes with minimal safeguards. Rather than implementing technical restrictions, Sesame relies on an honor system, simply requesting that developers and users refrain from mimicking voices without consent, creating misleading content, or engaging in harmful activities. This approach stands in contrast to recent warnings from Consumer Reports, which noted that many popular AI voice cloning tools lack "meaningful" protections against potential fraud or abuse.

Testing of the Hugging Face demo revealed how quickly the model can clone a voice—less than a minute—and its ability to generate speech on controversial topics such as elections and propaganda, highlighting potential misuse concerns.

Sesame was co-founded by Brendan Iribe, a co-creator of Oculus, and has secured funding from prominent investors including Andreessen Horowitz, Spark Capital, and Matrix Partners, though the exact amount remains undisclosed. Beyond voice assistant technology, the company has also mentioned it is developing AI glasses "designed to be worn all day" that will incorporate its custom models.

What makes this crucial: The company has not disclosed what data was used to train CSM-1B, an important consideration given ongoing debates about AI training practices and intellectual property rights.

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

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🤖 AI Playground: Transform Your Workflow 🤖

🔧 This Week’s Tool: Moveworks 🔧

Overview: Moveworks is an AI-driven platform designed to streamline workplace operations by resolving employee requests through natural language understanding and automation. By integrating seamlessly with communication tools like Slack and Microsoft Teams, Moveworks enhances productivity by addressing IT support issues, HR inquiries, and more. 🚀

Why Is It Better Than Other Tools? ✨

• ⚡ Advanced AI Capabilities: Utilizes natural language understanding to accurately interpret and resolve a wide range of employee requests.
• 🤖 Seamless Integration: Works effortlessly with existing communication platforms, ensuring minimal disruption to current workflows.
• 📈 Continuous Learning: Employs machine learning to improve over time, adapting to the unique needs of your organization.

What Does It Do Best? 🌟

• 🛠️ Automated IT Support: Resolves common IT issues instantly, reducing downtime and allowing IT staff to focus on more complex tasks.
• 🔄 HR and Facilities Assistance: Addresses employee inquiries related to HR policies and facilities management, ensuring quick and accurate responses.
• 📊 Data-Driven Insights: Provides analytics on employee requests, helping organizations identify trends and areas for improvement.

Applications 💼:

• 💻 IT Support: Automate password resets, software installations, and troubleshooting common technical issues.
• 📝 Human Resources: Provide instant answers to policy questions, benefits inquiries, and onboarding processes.
• 🏢 Facilities Management: Streamline maintenance requests and manage office resources efficiently.
• 📚 Knowledge Management: Ensure employees have quick access to company policies, procedures, and FAQs.
• 🔧 Operational Efficiency: Automate routine tasks, allowing teams to focus on strategic initiatives.

Follow This Simple Guide to Get Started with Moveworks:

1. 🌐 Visit the Website: Go to moveworks.com to learn more about their offerings.
2. 🔗 Request a Demo: Schedule a demonstration to see how Moveworks can be tailored to your organization's needs.
3. 🛠️ Integrate with Your Tools: Work with the Moveworks team to integrate the platform with your existing communication and IT systems.
4. 🚀 Launch and Train: Introduce Moveworks to your employees and provide training to ensure a smooth transition.
5. 🔄 Monitor and Optimize: Utilize Moveworks' analytics to continuously improve and adapt the platform to better serve your organization.

Moveworks is your partner in transforming workplace operations, enhancing productivity, and ensuring employee satisfaction. 🌟

💡 Challenge: Identify a common employee request in your organization and implement Moveworks to automate its resolution. Share your experience by replying to this email for a chance to win a special prize! 🎁 Start revolutionizing your workplace with Moveworks today! 🚀