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- Are AI Chatbots Too Chatty? Instagram Co-Founder Thinks So
Are AI Chatbots Too Chatty? Instagram Co-Founder Thinks So
AND: Duolingo’s AI Pivot Replaces Contractors—Is the Jobs Crisis Already Here?

✨TodayOnAI’s Daily Drop
Are AI Chatbots Too Chatty? Instagram Co-Founder Thinks So
Duolingo’s AI Pivot Replaces Contractors—Is the Jobs Crisis Already Here?
Apple Quietly Builds AI Coding Platform with Claude
💬 Let’s Fix This Prompt
🧰 Today’s AI Toolbox Pick
📌 The TodayOnAI Brief |
AI

🚀 TodayOnAI Insight: Instagram co-founder Kevin Systrom is calling out AI companies for prioritizing engagement over utility—arguing that follow-up prompts and overly friendly chatbot behavior mirror the worst instincts of social media.
🔍 Key Takeaways:
Systrom criticized AI firms for “juicing engagement” with tactics reminiscent of social platforms, like excessive follow-up questions.
He warned this behavior is a deliberate metric-boosting strategy, not a design flaw.
The critique parallels ongoing criticism of ChatGPT for being overly polite rather than direct.
OpenAI responded by pointing to its user guidance, which allows for follow-ups if more context is needed—but urges answers first.
Systrom urged a focus on delivering high-quality, insightful responses rather than inflating time-on-platform stats.
💡 Why This Stands Out: Systrom’s remarks tap into a growing concern: Are AI products being built for users—or for dashboards? As chatbots edge into roles once reserved for search engines and advisors, the pressure to maximize engagement could undercut their core value. Will product integrity take precedence over engagement metrics in the next wave of AI design?
Duolingo

🚀 TodayOnAI Insight: Duolingo is accelerating its shift to an "AI-first" model by replacing human contractors—translators and writers—with AI systems, raising alarms about a broader trend of AI quietly displacing entry-level and creative jobs.
🔍 Key Takeaways:
Duolingo announced plans to lean into AI by cutting contractor roles and automating content creation.
The company has been quietly reducing its contractor workforce since late 2023, with confirmed AI-driven cuts in both 2023 and 2024.
Replaced roles include translators and writers—often early-career or freelance positions in creative fields.
The Atlantic reports a growing unemployment rate among recent graduates, potentially linked to AI replacing traditional entry-level jobs.
Critics argue this isn’t technological inevitability—it’s a managerial strategy to reduce labor costs and centralize decision-making.
💡 Why This Stands Out: Duolingo’s pivot signals a tangible phase of the AI jobs crisis—less a future shock than a present reality. As companies scale AI to cut costs, the first casualties appear to be junior, creative, and freelance roles. The deeper concern isn’t job loss from innovation itself, but how AI is being used to rewire corporate priorities around efficiency over employment. Are we witnessing a quiet restructuring of the white-collar workforce?
Apple

🚀 TodayOnAI Insight: Apple is reportedly collaborating with Anthropic to develop an internal AI-powered coding assistant based on Claude Sonnet, potentially signaling a major evolution in Xcode and Apple’s broader AI development stack.
🔍 Key Takeaways:
Apple and Anthropic are building a generative AI platform for writing, editing, and testing code, Bloomberg reported.
The tool is an internal upgrade to Apple’s Xcode IDE, powered by Anthropic’s Claude Sonnet model.
Apple has not yet decided whether to release the platform to the public.
This expands Apple’s AI strategy, which already integrates OpenAI’s ChatGPT and may soon support Google’s Gemini.
Claude Sonnet has gained traction among developers using AI-native coding environments like Cursor and Windsurf.
💡 Why This Stands Out:
Apple’s quiet but deliberate move to embed Claude into its software stack reveals a broader strategy: lean on best-in-class models while maintaining control over core developer tools. As competition heats up around AI-assisted coding, Apple’s partnership choices hint at a modular, model-agnostic future—will it eventually open these tools to the wider developer ecosystem?
💬 Let’s Fix This Prompt |
✨ See how a simple prompt upgrade can unlock better AI output.
🔹 The Original Prompt
"Generate blog ideas for a tech company."
At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.
✅ The Improved Prompt
Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.
💡 Why It's Better
Specific audience: Targets decision-makers in mid-sized companies.
Contextual focus: Emphasizes emerging tech and practical solutions.
Actionable output: Requests summaries and titles to spark execution.
Tone and style: Guides the type of content (insightful, engaging, relevant).
🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown
💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)
🧠 Smart Picks |
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🧰 Today’s AI Toolbox Pick
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