Bad AI: OpenAI For Adults
Oct 23, 2025AI IS ACCELERATING - GET READY
Let's help you understand the WTF of AI and how it helps YOU and your organisation grow. Ready, set, agent.
This week:
😱 Bad AI: OpenAI For Adults
🔥 AI Events: Senior Marketers Roundtable
💭 AI Business: Gemini Enterprise
✨ AI Creativity: Microsoft Image Model
💡 News, Trends & Insights
Bad AI: OpenAI For Adults
Oh lordy. As if AI wasn't contentious enough.
Dare I ask what's happened now? OpenAI have just decided ChatGPT can now write erotic content - as long as you're a verified adult.
Juicy. Tell that to HR.
Not a fan, then? Only fans of badly written, synthetically-generated disappointment will find it thrilling.
Was that a veiled reference to a popular adult app? No idea what you're talking about.
So where does this leave us? Probably with an overload of eggplant emojis, chatGPT screentime up 36,000% and the occasional 'I got catfished by a sultry algorithm' lawsuit brought by Disgruntled_Dave_069, from Milton Keynes.
Asking for a friend, but would their subscription to 'fast moving pistons monthly' count as verification? Stop it.
Any lessons to be learned? Yes. You need immediate help.
AI Event: Roundtable For Marketers
AI is noisy - and marketers need a way to find out what's actually going on right now.
We're hosting our next Senior Marketers AI Roundtable on 4th November 8.30am-10am in Old Street, London, to help make sense of it all.
You can sign up here: https://www.g3nr8.com/senior-marketers-ai-roundtable
We cover topics such as:
✅ Sharing knowledge, ideas and what's working
✅ The biggest AI and marketing challenges today
✅ AI and research, content creation and campaigns
✅ What AI SEO means for brands
It's an impactful discussion for senior marketing leaders to cut through the nonsense and share challenges, opportunities and strategies for applying AI effectively in their work.
Be quick, places are limited!
AI Business: Google Gemini Enterprise
Google have launched Gemini Enterprise - calling it 'the new front door for AI in the workplace' - giving users a single place to use AI at work.
What you need to know:
No-code agent creation: People can now build and launch agents to analyse data and automate processes without writing a line of code.
Direct data connectivity: Plugs into company data and systems - i.e. Google Workspace, Microsoft 365, Salesforce and SAP.
Marketplace scale: Pre-built agents are available through Google's new marketplace, covering research, support, reporting, and more.
Enterprise rollout: Pricing starts at $30 per user/month (Business tier $21) with unified control - governance, permissions, and deployment all handled in one place.
What it means for businesses:
By combining models, data, and workflows into one layer, Google is tightening control over the enterprise stack. That's efficient, but it also deepens dependence - the more integrated it gets, the harder it is to move away. Google is pushing the 'you can't piece together transformation' line.
Wider context:
Microsoft has Copilot. Amazon is pushing QuickSuite. Google's betting that agent-first work becomes the new normal - where employees query, delegate, and automate without ever leaving their core apps.
We run high-impact, practical AI discovery for organisations in weeks, not months, get in touch to keep up with your competitors' agentic initiatives.
AI Image Creation: Microsoft MAI-Image-1
Microsoft just launched a new in-house AI image generator, MAI-Image-1 - and is embedding it into its suite of work tools.
Here's what you need to know:
Control & ownership shift: By building the model themselves, Microsoft reduces dependence on third-party models (i.e. OpenAI).
Better speed + efficiency: Microsoft claims MAI-Image-1 is faster and more efficient than larger models - it's currently in the top 10 on the popular LMArena leaderboard.
Creative quality: The company says they worked with artists to avoid generic output and bias. That could mean better brand-aligned imagery and fewer off-brand or glitchy visuals.
Toolchain consolidation: Expect MAI-Image-1 to embed into Copilot, Bing Image Creator, and Microsoft's suite. For firms already in the Microsoft ecosystem, that'll potentially streamline workflows - as long as the quality holds up.
What it means for businesses:
By owning the image model, Microsoft reduces reliance on OpenAI and gains tighter control over pricing, licensing - and compliance. For teams already deep in the Microsoft stack, it means fewer integrations and image generation that's governed within their enterprise boundaries.
Wider context:
The main players want you in their ecosystems - we'll see this continuing to play out as OpenAI, Google (and Amazon) compete to be the 'everything enterprise'.
For advice on how AI content and media fit into your business, drop us a line.
What's New - News, Insights & Trends
> AI browser Dia is now free for everyone
> NotebookLM gets Nano Banana upgrade
> Firefox adds Perplexity to search options
FAQs: OpenAI, Gemini Enterprise & Microsoft MAI-Image-1
What is OpenAI's new adult content policy for ChatGPT?
OpenAI now allows ChatGPT to write erotic content for verified adults. This represents a significant policy shift, though it has raised concerns about workplace appropriateness and potential misuse.
What is Google Gemini Enterprise?
Google Gemini Enterprise is Google's new AI workplace platform that serves as 'the front door for AI in the workplace'. It offers no-code agent creation, direct connectivity to company data and systems, and a marketplace of pre-built agents. Pricing starts at $30 per user/month for enterprise tier and $21 for business tier.
What is Microsoft MAI-Image-1?
MAI-Image-1 is Microsoft's new in-house AI image generator that's being embedded into their work tools. It's designed to be faster and more efficient than larger models, currently ranking in the top 10 on the LMArena leaderboard, and reduces Microsoft's dependence on third-party models like OpenAI.
How does Gemini Enterprise integrate with existing business systems?
Gemini Enterprise plugs directly into company data and systems including Google Workspace, Microsoft 365, Salesforce, and SAP. It provides unified control with governance, permissions, and deployment all handled in one place.
Why did Microsoft build their own image generation model?
By building MAI-Image-1 in-house, Microsoft reduces dependence on third-party models like OpenAI, gains tighter control over pricing, licensing, and compliance, and can better integrate image generation within their enterprise boundaries for teams already in the Microsoft ecosystem.
G3NR8 is an impact consultancy for the exponential age. We help organisations implement AI for maximum returns on investment.
Work with us to:
- Rapidly improve your sales and marketing function with an AI ecosystem - from horizon scanning to content repurposing and active campaign planning.
- Help each employee find information 60% faster with advanced AI knowledge bases - secure, and based on your business logic and data.
- Create valuable MVPs that don't sit in silos and work immediately to generate productivity gains and ROI in weeks, not months.
- Train your teams - we've trained 150+ large organisations in advanced generative principles and implementation.
Drop us a line for a chat about productivity gains, cost savings, growth and how AI can scale your business.
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