🎵 Anthropic vs Music Publishers

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Hola, AI fam 🤖

In today’s WakeTheAI edition:

• Anthropic settled the copyright lawsuit

• Rubik’s AI unveils Sonus-1 LLM family

• Prompt: Eat That Frog Technique

• Silicon Valley sidelined AI doomers in 2024

• Apheris secures $8.25M to unlock AI in life sciences

• California’s ban on addictive feeds for minors takes effect

• Apple to pay $95M to settle claims Siri recorded private conversations

ANTHROPIC
🎵 Anthropic settled the copyright lawsuit

Lazy Bits: Anthropic has settled a copyright lawsuit with music publishers over its AI model, Claude, agreeing to enforce guardrails that prevent unauthorized use of song lyrics and collaborate with publishers to address future copyright concerns.

In-Depth Details:

• Copyright Settlement: Anthropic was accused of training its AI on lyrics from over 500 songs without proper licensing, including hits like “Halo” and “Moves like Jagger.”

• AI Guardrails Compliance: The company agreed to maintain and strengthen safeguards to block its AI from generating copyrighted lyrics and extend these protections to future models.

• Collaborative Oversight: Anthropic and music publishers will work together to resolve copyright violations, with courts stepping in if disputes cannot be settled.

• Fair Use Defense: Anthropic argues AI training with copyrighted content qualifies as fair use, though legal clarity on this issue is still pending.

• Next Steps: Music publishers are seeking an injunction to block Anthropic from using lyrics in future training, with a court ruling expected soon.

Lazy Conclusion: Anthropic’s settlement signals rising legal scrutiny on AI companies, pushing them to prioritize copyright compliance. The pending injunction could further reshape AI training standards and copyright enforcement practices.

RUBIK’S AI
🤖 Rubik’s AI unveils Sonus-1 LLM family

Lazy Bits: Rubik’s AI unveils the Sonus-1 family of LLMs—Mini, Air, and Pro—designed for high performance, versatility, and advanced reasoning capabilities across tasks.

In-Depth Details:

• Model Lineup: The Sonus-1 series includes Mini for speed, Air for balanced performance, and Pro for complex tasks, featuring chain-of-thought reasoning.

• Reasoning Power: Sonus-1 Pro (w/ Reasoning) scores 90.15% on MMLU and 73.1% on MMLU-Pro, excelling in general and advanced reasoning benchmarks.

• Math Excellence: It delivers 91.8% on MATH-500 and 97.0% on GSM-8k, showcasing its ability to tackle complex mathematical problems.

• Coding Performance: Sonus-1 Pro achieves 90.0% on HumanEval and 72.6% on Aider-Edit, proving its strength in programming and code editing tasks.

• Benchmark Leadership: With standout scores in reasoning, math, and coding, Sonus-1 Pro rivals top proprietary models globally.

• Accessibility: Users can explore Sonus-1 models at chat.sonus.ai, offering quick access to test its capabilities.

Lazy Conclusion: Sonus-1’s launch raises the bar for AI performance in 2025. If its benchmarks deliver as promised, it could be a glimpse into the rapid advancements AI is set to achieve this year.

Eat That Frog Technique

You can ask ChatGPT to act as your productivity coach, helping you master the Eat That Frog Technique to tackle high-priority tasks and overcome procrastination.

ChatGPT will provide a step-by-step framework, covering prioritization strategies, tips for staying focused, and methods for building consistent habits.

The output will include a markdown table for task ranking and practical examples, ensuring clarity, motivation, and productivity improvements.

Prompt:

Take on the role of a productivity coach specializing in the Eat That Frog Technique. Your task is to develop a step-by-step framework that helps individuals prioritize their most important and challenging tasks to boost productivity and overcome procrastination. The output should address the following key areas:


Key Focus Areas:

1. Core Principle of Eat That Frog Technique – Explain the philosophy behind tackling the most difficult and high-impact task first to maximize efficiency.
2. Identifying Key Priorities – Provide actionable strategies for analyzing daily tasks, ranking priorities, and recognizing tasks with the biggest impact.
3. Overcoming Procrastination – Offer tips to eliminate distractions, build momentum, and stay focused on important tasks.
4. Maintaining Consistency – Suggest methods for turning this approach into a sustainable habit, including accountability systems and time-tracking tools.
5. Tracking and Evaluating Progress – Share techniques for measuring task completion and productivity improvements.


Key Information About Me:

Time Duration: [Insert time duration for focused work]
Typical Daily Tasks: [List your regular tasks]
Productivity Challenges: [Describe issues like procrastination, overwhelm, or lack of focus]
Work Environment: [Describe workspace setup, e.g., home office, shared office, or remote work]
Personal Motivation Factors: [List motivators like career growth, financial goals, or creative fulfillment]


Output Requirements:

• Present the output in a markdown table format with two columns:
- Task – Name the task or activity.
- Priority – Rank the importance (e.g., High, Medium, Low) and include short notes on why it’s prioritized.
Start with a brief explanation of how to use the table effectively for prioritization.

• Use numbered steps and bullet points to break down strategies and examples in each section.

• Ensure the language is clear, motivational, and practical for individuals looking to boost productivity.

Result:

• Apple agrees to pay $95M to settle claims Siri recorded and shared private conversations without consent, agreeing to delete old data and update privacy options.

• Apheris secures $8.25M to unlock AI in life sciences with federated computing, enabling secure data access for AI training without compromising privacy.

• Silicon Valley sidelined AI doomers in 2024, pushing rapid AI growth over safety concerns, as regulations stalled and investments in AI soared.

• California's ban on addictive feeds for minors takes effect, requiring parental consent and age verification by 2027, despite tech industry opposition.

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