Hey AI Explorers,

Buckle up- today’s AI update is a wild ride.

From “DeepSeek playing shady” to “AI taking blog-writing to another level” , the AI world isn’t slowing down- it’s accelerating.

As artificial intelligence weaves deeper into our daily lives, staying ahead isn’t just smart- it’s essential. Let’s get you caught up.

Here’s what’s in store for you today:

• 🔍 DeepSeek may have used Google’s Gemini to train its latest model

• 🧠 For the love of God, stop calling your AI a co-worker

• ✍️ Anthropic’s AI is writing its own blog, with human oversight

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LATEST DEVELOPMENT

LEAKED

🔍 DeepSeek may have used Google’s Gemini to train its latest model

Evidence is mounting that Chinese AI firm DeepSeek may have used Google Gemini model data, possibly illicitly, to train its latest high-performing model.

Key Points:

• DeepSeek’s new model, R1-0528, exhibits language patterns strikingly similar to Google’s Gemini 2.5 Pro.

• Independent developers claim DeepSeek’s “thought traces” resemble Gemini’s, suggesting it may have been trained on Gemini-generated outputs.

• DeepSeek has a history of questionable practices. including a previous model that sometimes identified itself as ChatGPT.

• OpenAI previously linked DeepSeek to “distillation” tactics using data siphoned through OpenAI developer accounts.

• Contamination of training data with AI-generated content is making attribution harder, blurring lines between plagiarism and coincidence.

• In response, major AI firms (OpenAI, Google, Anthropic) are tightening access and obfuscating trace data to protect their models from unauthorized replication.

Importance:

If DeepSeek did use outputs from rival models, it highlights a growing crisis in AI development: the blurred legal and ethical boundaries of training data. As synthetic content floods the internet and high-quality model outputs become valuable assets, protecting proprietary knowledge and proving misuse, is getting harder. This case underscores both the technical risks and the geopolitical stakes in the escalating AI arms race.

STOP

🧠 For the love of God, stop calling your AI a co-worker

Startups are branding AI as “co-workers” to seem friendly, but it’s manipulative, de-humanizing, and possibly dangerous.

Key Points:

• Startups increasingly anthropomorphize AI, giving it names and personalities to sell it as a “co-worker” rather than software.

• Companies like Atlog pitch AI as a direct replacement for human jobs, sometimes explicitly.

• Naming conventions (like Anthropic’s Claude) mirror fintech apps like Dave and Albert, which use friendly branding to gain user trust.

• The framing obscures the economic impact of AI displacement, especially as jobless claims rise and layoffs in tech increase.

• Language matters, calling AI “staff” distances users from the real cost: lost human employment and agency.

Importance:

As AI spreads through the workforce, treating software like sentient colleagues isn’t just misleading, it shifts responsibility away from companies deploying these systems. By rejecting the “co-worker” narrative, we can more clearly debate what kind of future we’re building, and for whom.

GHOSTWRITTEN

✍️ Anthropic’s AI is writing its own blog, with human oversight

Claude Explains is a new AI-written blog from Anthropic, blending its model’s writing with human editorial review. It’s meant to showcase Claude’s capabilities while keeping humans in the loop, at least for now.

Key Points:

• Claude Explains is a blog mostly written by Anthropic’s Claude model, with humans refining drafts for clarity, examples, and accuracy.

• The blog reads like it’s entirely AI-authored, but Anthropic emphasizes a collaborative process between AI and human editors.

• Topics include technical guidance, creative writing, data analysis, and business strategy, all framed as educational resources.

• The move follows a broader trend: Meta, OpenAI, Bloomberg, and Gannett are also exploring or deploying AI-generated content.

• Other AI-generated content experiments have faced backlash due to inaccuracies, hallucinations, and credibility issues.

• Anthropic insists it’s still hiring for writing roles, suggesting this is augmentation, not outright replacement (yet).

Importance:

Anthropic’s AI-authored blog is more than a marketing flex, it’s a signal. Content creation is entering a new era where AI does the heavy lifting and humans polish. But as publishers rush to cut costs and scale content, the balance between efficiency and accuracy will be tested. Claude Explains could be a model for responsible co-authorship, or a Trojan horse for replacing human writers under the guise of “collaboration.”

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📰 Everything else in AI today

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• 🎥 Amazon MGM plans film on OpenAI drama

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