Greetings Qrew,

Whether you're diving into AI for work, side projects, or just out of curiosity — this issue of The Creators Hive brings you practical insights, hands-on learning, and tools you can actually use.

1. OAI co-founder’s deposition reveals memos, merger talks
2. Wharton AI study shows surging enterprise adoption
3. OpenAI’s $38B compute deal with Amazon
4. Coca-Cola doubles down on AI holiday ads
5. New benchmark tests AI’s freelance automation
6. Tool Recommendation of the Day: Drawfish.com

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OAI co-founder’s deposition reveals memos, merger talks

OpenAI co-founder Ilya Sutskever revealed new details in a court deposition regarding Sam Altman’s 2023 ousting, including a 52-page memo on management issues, the existence of a “Brockman Memo,” and a potential merger discussion with Anthropic during the crisis.

The details:

• The plan to remove Altman had been considered for over a year, with Sutskever compiling a 52-page document outlining alleged dishonesty and manipulation.
• Former CTO Mira Murati reportedly supplied much of the supporting evidence, while a separate memo addressed President Greg Brockman’s conduct.
• The documents alleged Altman “pitted” Murati against Daniela Amodei, the sister of Anthropic CEO Dario Amodei — both previously worked at OAI before founding Anthropic.
• During the turmoil, Anthropic reportedly expressed merger interest, with Dario Amodei floated as a potential leader of the combined entity.
• The revelations surfaced amid Elon Musk’s lawsuit over OpenAI’s restructuring, with Sutskever participating in a 10-hour deposition.

Why it matters: The fallout from OpenAI’s 2023 board crisis continues to shape the AI landscape. The deposition highlights how close the company came to a merger that could have reshaped the entire frontier lab ecosystem, underscoring how intertwined today’s major players truly are.

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Wharton AI study shows surging enterprise adoption

Wharton released its annual enterprise AI report, surveying around 800 senior decision-makers across U.S. firms and revealing a sharp increase in AI adoption, growing budgets, and more optimism toward the technology.

The details:

• The most common AI applications include data analytics, meeting summarization, presentation and report creation, marketing content generation, and brainstorming.
• ChatGPT and Microsoft Copilot are the top-used tools, followed by Gemini, Meta AI, organization-specific models, and Amazon Q.
• Nearly 75% of organizations now measure AI ROI through productivity and profit metrics, with 88% planning to expand AI budgets in the next 12 months.
• Executive-level involvement is rising, with a 16-point increase in C-suite ownership of AI strategy and 60% of enterprises appointing Chief AI Officers.

Why it matters: The findings suggest that despite broader skepticism about AI’s long-term value, companies are seeing tangible results. With strong ROI signals and rising leadership engagement, AI’s role in business strategy appears to be entering a phase of mainstream institutionalization.

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OpenAI’s $38B compute deal with Amazon

OpenAI has signed a seven-year, $38 billion deal with Amazon Web Services for computing infrastructure — its largest move yet to reduce dependence on Microsoft’s cloud ecosystem.

The details:

• The agreement gives OpenAI access to hundreds of thousands of Nvidia GPUs hosted in AWS data centers, with full deployment expected by late 2026.
• The compute power will be used for ChatGPT operations, model training, and future large-scale projects, with built-in flexibility for scaling.
• The new contract follows last week’s Microsoft renegotiation, which lifted exclusivity clauses and allowed OpenAI to engage other providers.
• This AWS deal is part of OpenAI’s $1.4 trillion infrastructure expansion strategy involving Oracle, Google, Nvidia, and Broadcom.

Why it matters: The partnership marks another major step in OpenAI’s push for compute diversification and long-term resilience. While the spending scale continues to raise sustainability concerns, the move signals confidence in AI’s future — and Altman’s willingness to double down rather than slow down.

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Coca-Cola doubles down on AI holiday ads

Coca-Cola has launched its 2025 holiday campaign featuring AI-generated versions of its classic “Holidays Are Coming” ads — a year after its first AI experiment drew criticism from creatives concerned about the tech’s effect on artists.

The details:

• The brand collaborated with AI studios Silverside and Secret Level to create new commercials that replace last year’s uncanny human figures with animals.
• Production timelines dropped from roughly 12 months to just 30 days, with one studio using only five specialists to generate and refine over 70,000 clips.
• Despite last year’s social media backlash, Coca-Cola continues using AI, following similar ad experiments in both 2023 and 2024.
• Global VP Pratik Thakar said AI remains central to the company’s marketing evolution, noting that “the genie is out of the bottle.”

Why it matters: The move shows how fast AI video production is maturing — and how quickly major brands are normalizing its use. Coca-Cola’s persistence through early criticism highlights a broader industry shift toward efficiency and creative experimentation driven by AI tools.

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New benchmark tests AI’s freelance automation

Scale AI and the Center for AI Safety have introduced the Remote Labor Index — a new benchmark that evaluates how well AI systems can handle real freelance jobs. The results? Even the best-performing models completed less than 3% of projects at a professional human level.

The details:

• The benchmark used 240 completed freelance assignments from verified Upwork professionals across 23 categories, including the original deliverables.
• Six leading AI systems were tested on the exact same tasks, with outputs compared against professional human work standards.
• Manus led with a 2.5% completion rate, followed by Grok 4 and Claude Sonnet 4.5 at 2.1%, while 97% of outputs failed to meet basic client expectations.
• Common issues included poor quality, missing or broken deliverables, and lack of context understanding; AI performed best on narrow tasks like logo design, audio mixing, and chart creation.

Why it matters: The benchmark exposes a stark reality: while AI can handle isolated creative or analytical subtasks, it still struggles with complex, multi-step client work. For now, true freelance automation remains a distant goal — reminding us that human judgment, coordination, and quality control remain essential in professional workflows.

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Tool Recommendation of the Day: Drawfish

Website: drawafish.com​

What it is

DrawAFish.com is an online drawing game where you sketch a fish, the AI evaluates how “fish-like” your drawing is, and once validated, your fish joins a shared virtual tank with fish drawings from other users.

What makes it unique

• You draw freehand on a simple canvas and receive real-time feedback on whether your sketch counts as a fish.
• Once accepted (based on AI confidence), your drawing becomes part of a communal aquarium—swimming alongside other users’ creations.
• Community features include voting, ranking by popularity or date, and exploration of other fish drawings.

Use case magic

• Fun distraction or creative break: sketch something, submit it, and watch it swim.
• Social/interactive content: share your fish drawing, compete or collaborate with friends.
• Creative prompt for artists or doodlers: see how abstract or imaginative your “fish” can get and still be recognized.
• Light-hearted community art project: easy to participate in even without formal drawing skills.

Why it stands out

Unlike drawing tools aiming for realism, this site encourages playful sketches with an AI filter and then turns them into a shared experience. The blend of user creativity, AI judgement, and community aquarium is unusual and whimsical.

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Masterpieces from the Hive 🎨

Here’s what our community has been creating this week using the Hive Wall:

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