The Biggest AI Copyright Settlement Yet

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📚 Anthropic Pays $1.5B to Settle Landmark AI Copyright Case

Anthropic has agreed to a $1.5 billion settlement after being accused of training Claude on millions of pirated books. The case, which centered on shadow libraries like LibGen, marks the first major test of how copyright law applies to generative AI. If approved, it will be the largest payout of its kind in U.S. history.

The Decode:

1. The Pirated Dataset Problem - Authors sued after discovering Anthropic ingested over 7 million pirated books from shadow libraries to train Claude. While some books were legally obtained, the lawsuit zeroed in on the massive trove of unlicensed works.

2. Court’s Fair Use Boundary - In June, Judge Alsup drew a sharp line: legally purchased books can be used for AI training under fair use, but pirated copies cannot. That ruling set the stage for a high-stakes trial before the parties struck a deal.

3. Settlement Terms - The agreement covers about 500,000 works at $3,000 each, with additional payouts if more pirated content is uncovered. Anthropic must also destroy all pirated data and backups, and the deal does not authorize future training on such materials.

This case forces AI companies to move toward licensed datasets and compensation schemes rather than scraping shadow libraries. It signals the beginning of a new compliance era, where creative industries can push back and shape how their work fuels AI systems. The ripple effect could influence ongoing cases against Meta, OpenAI, and Midjourney, reshaping how the entire sector handles training data.

Together with Shipfusion

The Post-Purchase Blind Spot That’s Costing You

Most brands obsess over the buy button, but what happens after is where they lose the most. 

Shipfusion spent $8,000 ordering from 110+ cosmetics brands to test the full delivery experience. The findings are clear: if you ship to customers, this is your blind spot too.

👀Nearly 90% didn’t include free samples, and 1 in 10 went silent after order confirmation
🌀 33% of orders arrived scuffed, with over 10% containing damage.
📦 Nearly half invested in custom boxes, but just 36% branded the interior.

These numbers reveal a gap every operator should fear. You can’t win loyalty with a broken box or silence after checkout. Customers equate fulfillment with your brand, and if you fail here, no amount of marketing can save you.

The data doesn’t lie: most brands are leaking revenue and retention in plain sight. The ones who fix it now will own the customer relationship.

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🧠 Turn Product Photos into Talking Avatars for Ads or Landing Pages

You can now make any static photo (even a product ambassador) come alive, perfect for DTC founders or performance marketers running UGC-style ads at scale.

🚀 How to Use Aurora (Creatify)

1. Go to https://creatify.ai
2. Upload a face photo: (Or choose one of Creatify’s pre-built avatars)
3. Add your voice
   • Upload an audio clip or
   • Type a script (Aurora will generate AI voice + lip sync)
4. Hit Generate: The avatar now gestures, speaks, and animates, fully synced.

🎯 Why This Matters

• Create unlimited ad variants without actors or shoots
• Build trust with consistent spokesperson avatars
• Repurpose testimonials, founder intros, or product demos
• Save time on editing, it’s auto-generated in minutes

Together with The Black Box of Growth

Your Playbook for Growth That Doesn’t Vanish Overnight.

Every sale you buy with ads comes with a countdown. The second the budget stops, so does growth. That isn’t scaling, it’s sprinting in place.

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• Partnerships that triple reach with ready-to-send outreach scripts and timelines.

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Stop renting growth that disappears. Start owning growth that compounds.

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🚀 Qwen3-Max-Preview: Alibaba’s 1T-Parameter Model

Alibaba’s Qwen team has launched Qwen3-Max-Preview, its largest LLM yet, with over 1 trillion parameters. Benchmarks show it beating Claude Opus 4, Kimi K2, and DeepSeek-V3.1 across reasoning, coding, and advanced benchmarks, while community testers highlight its blazing-fast response speed.

The Decode:

1. Scale and Benchmarks - Qwen3-Max-Preview scales to 1T parameters, placing it among the largest models in existence. It leads on tests like SuperGPQA, AIME25, LiveCodeBench v6, and Arena-Hard v2, surpassing previous Qwen models and U.S. lab rivals. Early trials show strong reasoning outputs despite not being formally marketed as a reasoning model.

2. Technical Specs and Access - The model supports a 262K token context window with context caching for long sessions. Designed for reasoning, coding, structured data, and creative tasks, it is accessible via Qwen Chat, Alibaba Cloud API, OpenRouter, and AnyCoder.

3. Pricing and Enterprise Considerations - API pricing is tiered by input size, starting at $0.861 per million tokens and rising with longer prompts, making smaller workloads cost-efficient, but heavy enterprise deployments could become expensive. Enterprises gain power and flexibility, but preview status raises questions on stability, compliance, and long-term costs.

Qwen3-Max-Preview shows Alibaba pushing scale while rivals shrink models for efficiency, proving “scaling still works.” Its trillion-parameter milestone cements Qwen as a global contender against U.S. labs, but with costs, closed access, and enterprise risks, adoption will require careful weighing of power versus practicality.

🏆 Tools you Cannot Miss:

🔮 Tarotify – Make tarot reading simple with AI that explains every card instantly, no prior knowledge needed.

📈 Marketbetter – Turn your GTM signals into real meetings with AI-driven precision.

🧾 InvoiceClip – Upload invoices, bills, or receipts and get organized, accurate data instantly without manual typing.

🌍 Glotera AI – Type naturally and translate immediately in any app with seamless AI translation.

📸 PhotoG – Generate ads, videos, and SEO content from just one image.

🚀 Quick Hits

🚀 ROI isn’t about spending more, it’s about entering smarter. Particl surfaces rising categories, aesthetics, and keywords before they hit saturation, boosting campaign returns by 20–30%. Trusted by 10,000+ brands like Mejuri and Vuori, it’s built to scale profitability. Start your free trial now.

🔍 Google has officially clarified Gemini usage limits: free users get 5 prompts per day with Gemini 2.5 Pro, 100 with AI Pro, and 500 with AI Ultra. Free users also receive 5 Deep Research reports and 100 images daily, while paid tiers expand this to 1,000 images. 

🔎 OpenAI is folding its 14-person Model Behavior team into Post Training, signaling personality shaping is now central to model development. Founder Joanne Jang will launch OAI Labs, exploring new AI-human interfaces.

✨ OpenAI’s Joanne Jang, former Model Behavior lead, launched OAI Labs to prototype new AI-human collaboration interfaces, aiming to move beyond chatbots toward creative, interactive systems for thinking, learning, and making.

✍️ Authors have filed a class-action lawsuit against Apple, accusing it of training its OpenELM large language models using a pirated book dataset without permission, credit, or compensation.

🔥 OpenAI’s projected cash burn surged to $115B through 2029, an $80B increase. Annual spending will ramp from $8B in 2025 to $45B in 2028, funded by chip, data center, and compute expansion plans.

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