Anthropic puts Claude within the interviewer’s chair

Good morning, AI enthusiasts. What do staff really take into consideration AI? Anthropic just asked 1,250 of them — and used Claude because the interviewer.

The corporate just launched a brand new tool for AI-powered qualitative research, and the findings from its first study paint a sophisticated picture: widespread adoption, hidden usage, and growing unease concerning the way forward for work.

Reminder: Our next workshop is today at 4 PM EST. Join and learn methods to leverage Google’s recent Nano Banana Pro to create polished slide decks. RSVP here.

In today’s AI rundown:

• Anthropic puts Claude to work as a research interviewer

• OpenAI trains models to ‘confess’ after they cheat

• One-Shot a Landing Page with Replit Design Mode

• Google, Replit deepen partnership for enterprise vibe coding

• 4 recent AI tools, community workflows, and more

LATEST DEVELOPMENTS

ANTHROPIC

📝 Anthropic puts Claude to work as a research interviewer

The Rundown: Anthropic just released Anthropic Interviewer, a Claude-powered research tool that conducts and analyzes qualitative interviews at scale — debuting with findings from 1,250 professionals on how they’re navigating AI of their work.

The small print:

• Anthropic Interviewer handles the complete research pipeline: planning questions, running 10–15 minute conversations, and clustering themes for human analysts.

• Within the initial study, 86% of staff said AI saves them time, though 69% noted social stigma around using it and 55% voiced concern about their future.

• Creatives reported hiding AI use from peers and concerns about job loss, while scientists said they need research partners but don’t fully trust models yet.

• Anthropic is releasing all 1,250 transcripts publicly and plans to run ongoing studies tracking how the human-AI relationship evolves.

Why it matters: Firms typically find out about users through analytics dashboards or feedback forms, but open-ended interviews (scaled massively by Claude) can surface what people actually feel, not only what they click. The initial data shows a workforce adopting AI, but unsure of the social and future implications of it.

TOGETHER WITH POSTMAN

🗓️ Get your 90-day AI readiness guide

The Rundown: Turn your APIs into AI-ready tools. Whether you are setting the strategy or writing the code, Postman’s free 90-Day AI Readiness guide gives you a practical 30-60-90 day plan, so you may confidently construct the inspiration for intelligent automation.

Here’s the playbook:

• 0-30: Transform chaotic API docs into machine-readable standards

• 30-60: Construct intelligent infrastructure that scales with AI automation requirements

• 60-90: Deploy AI agents that manage AI collaboration at scale

Get the playbook.

OPENAI

🤐 OpenAI trains models to ‘confess’ after they cheat

The Rundown: OpenAI just published recent research on a way called “Confessions” that trains models to supply a second, honesty-only output — where the model reports rule violations, shortcuts, or deceptive workarounds.

The small print:

• After generating a response, the model writes a separate confession report listing all instructions it received and whether it actually followed them.

• Admissions carry no penalty, with the model earning ‘rewards’ for truthful self-reporting even when the unique answer was misleading or gamed the grader.

• In stress tests on GPT-5 Considering, ‘false negative’ cases where the model broke rules and hid it occurred just 4.4% of the time.

• OpenAI said the Confessions research doesn’t prevent misaligned behavior, but helps surface it as one other tool to leverage in a stack of AI safety methods.

Why it matters: Visibility into model behavior is improving, however the systems themselves are improving faster. Confessions give researchers a option to catch shortcuts and deception early, though the true test is whether or not interpretability can keep pace as systems grow more sophisticated and subsequently harder to check and control.

AI TRAINING

🧑‍🎨 One-Shot a Landing Page with Replit Design Mode

The Rundown: On this tutorial, you’ll learn methods to create a singular, high-converting landing page for what you are promoting in under 5 minutes using Replit’s Design Mode with no coding required.

Step-by-step:

1. Use your chosen AI chat tool to generate an in depth landing page prompt using this formula: company name, audience, offer, conversion goal, page sections, visual style, and CTA elements.

2. Discover a landing page design you’re keen on on Google, Behance, or Dribbble, screenshot it, and drop it into your chat tool. Ask it to rewrite your prompt to match the type of the screenshot.

3. Sign into Replit, click the “Design” tab, and paste your prompt. Next, type “Generate a single-page landing page site based on the attached instructions. Generate assets as needed.”

4. Refine your page by updating social proof sections, embedding your CRM form, and deploying to a custom domain.

Pro tip: Deploy your Replit site to an existing domain’s subdomain for targeted campaigns like paid ads or outbound marketing.

PRESENTED BY SYNK

🔐 Navigate the brand new OWASP Top 10

The Rundown: The 2025 OWASP Top 10 has officially launched with recent categories and shifting priorities that reflect today’s modern application landscape. Join Snyk’s live session on Dec. 11 at 11 AM ET to find what’s modified and the way it impacts your security strategy.

OWASP Leader Vandana Verma Sehgal will cover:

• What’s recent within the 2025 OWASP Top 10 and why it matters

• How the updated priorities impact developers and AppSec teams

• Strategies for adapting your security approach to the brand new landscape

Register now. Plus, ISC2 members will earn 1 CPE credit for attending live.

GOOGLE & REPLIT

🤝 Google, Replit deepen partnership for enterprise vibe coding

The Rundown: Google and Replit just announced a multi-year expansion of its partnership with vibe-coding startup Replit, with the agreement focused on bringing the tooling to large enterprise partners running on Google infrastructure.

The small print:

• Replit will integrate Google’s recently released Gemini 3 into the platform, in addition to its Imagen 4 text-to-image model for multimodal efforts.

• The businesses will market jointly through Google Cloud Marketplace, aiming to get Fortune 1000 teams constructing apps without dedicated engineers.

• Replit’s annualized revenue jumped from under $3M to $150M in lower than a yr, with a September funding round valuing the startup at $3B.

• The deal lands as rivals gain ground, with Claude Code crossing $1B in run-rate revenue and Cursor hitting the identical milestone at a $29B valuation.

Why it matters: Vibe coding has been more of a solo-dev phenomenon to this point — but Google’s deal is a bet that the workflows can scale for enterprises too. It’s also one other example of the surging coding battle between frontier labs, with Google fighting Claude Code, OpenAI’s Codex, and others for a much bigger slice of the developer workflow.

QUICK HITS

🛠️ Trending AI Tools

• 📲 Fastshot – Ship mobile apps to the App Store from ideas or Figma designs in minutes. No code, just by chatting with AI*

• 🍌 Nano Banana Pro – Google’s SOTA image-generation tool

• 🎥 Kling 2.6 – Kling’s recent AI video model with native audio capabilities

• 🤖 4.5 Opus – Anthropic’s strongest model, now available in Claude Code

*Sponsored Listing

📰 Every thing else in AI today

Google rolled out Gemini 3 Deep Think to its Ultra ($250/mo) tier subscribers, the corporate’s most advanced reasoning model that hit gold-medal performances on the IMO and ICPC competitions for math and programming.

Microsoft open-sourced VibeVoice, a brand new small text-to-speech model that provides real-time streaming and long-form speech generation that may handle so long as 90 minutes of speaking and 4 distinct voices.

Snowflake and Anthropic announced a $200M multi-year partnership to deploy Claude-powered AI agents to Snowflake’s 12,600+ enterprise customers.

OpenAI announced plans to amass Neptune, a startup that builds tools for tracking and analyzing AI model training during development.

Anthropic’s CEO seemingly took a jab at OpenAI CEO Sam Altman during an interview at NYT’s DealBook Summit, saying some AI firms could also be overextending themselves with leaders who “just wish to ‘YOLO’ things, or identical to big numbers.”

AI legal startup Harvey raised $160M at an $8B valuation, while reporting that roughly half of the Am Law 100 firms now use the AI tool.

COMMUNITY

🤝 Community AI workflows

Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.

Today’s workflow comes from reader Dean F. in Atlanta, GA:

“I’m using AI to guide patients through at-home hemodialysis, and to assist me construct the technology behind it. I created an iPad app for my father’s dialysis that uses AI to talk customized step-by-step instructions, listen for voice commands, and adapt the flow in real time based on branching medical logic. It also uses patients’ own photos and videos to bolster memory and reduce errors in a sterile environment.”

How do you employ AI? Tell us here.

🎓 Highlights: News, Guides & Events

• Read our last AI newsletter: Anthropic and OpenAI’s IPO showdown

• Read our last Tech newsletter: Apple’s AI shakeup to save lots of Siri

• Read our last Robotics newsletter: Humanoid breaks record for fastest construct

• Today’s AI tool guide: One-Shot a Landing Page with Replit Design Mode

• RSVP to next workshop @ 4PM EST today: Nano Banana Pro for Slide Decks

See you soon,

Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown