Welcome back, AI Enthusiasts!
In today’s AI summary rundown:
U.S. District Judge Nina Y. Wang penalized Christopher Kachouroff and Jennifer DeMaster after their February brief included AI‑generated inaccuracies, including “citations of cases that do not exist” and misquoted legal principles.
The filing was part of Mike Lindell’s defense in a lawsuit by former Dominion Voting Systems executive Eric Coomer, in which Lindell was found liable and ordered to pay $2.3 million.
After initially blaming drafts and co-counsel, the attorneys confessed they never fact‑checked the AI‑generated content before signing and submitting it.
Judge Wang held the AI‑generated brief violated federal procedural standards due to failure to verify legal citations before submission.
This case is among several recent sanctions for AI "hallucinations" in court filings, emphasizing that attorneys must meticulously vet AI output if they choose to use it.
Read time is 4 min..
Insight: Google Expands AI Mode Beyond U.S., Rolling Out Globally Starting in India
First international rollout
AI Mode, launched in the U.S. via Search Labs in March and fully released in late June, is now accessible to all users in India, making it Google’s inaugural global expansion of the feature.
No sign‑up required
The feature is live by default; Users no longer need to enroll in Labs; it appears as a new tab in the search bar on both web and mobile.
Powered by Gemini 2.5 & fan‑out AI
The system uses a custom Gemini 2.5 model and fan‑out querying (splitting complex questions into multiple sub‑queries), delivering deep, multi-part, multimodal responses.
Multimodal & conversational
Users can interact via text, voice, or images (through Google Lens), receive integrated web links, and engage in follow-up questions to refine their search.
English-only rollout for now
In India, the feature is currently limited to English-language queries, with plans to expand to additional languages over time.
AI Training: Tutorial of the Day
How to Create Mind Maps with ChatGPT
🛠️ Step-by-Step Guide: Create a Mind Map Using ChatGPT
Step 1: Define Your Central Topic
Start by clearly stating your main idea or theme.
👉 Prompt Example:
“Help me create a mind map on ‘Sustainable Living.’”
Step 2: Ask for the Main Branches
These are your key categories or ideas branching from the central topic.
👉 Prompt Example:
“What are the major categories under ‘Sustainable Living’ for a mind map?”
💬 ChatGPT might respond with:
Energy
Food
Transportation
Waste Management
Lifestyle Choices
Step 3: Expand Each Branch
Now go deeper into each branch with subtopics or ideas.
👉 Prompt Example:
“Expand the ‘Energy’ branch into 3–5 subtopics.”
💬 ChatGPT might respond with:
Solar Panels
Wind Energy
Home Insulation
Smart Thermostats
Energy Conservation Habits
Step 4: Ask for a Text-Based Mind Map
Once all the branches are ready, ask ChatGPT to compile the full mind map in text.
👉 Prompt Example:
“Combine all the branches and sub-branches into a full text-based mind map of ‘Sustainable Living.’”
Step 5: Visualise (Optional)
If you want a graphic version, copy the text into a free mind mapping tool like:
Or just ask:
👉 “Can you turn this into a format I can paste into a mind mapping tool?”
💡 Bonus Tips
Add emojis or symbols to make branches stand out.
Use follow-up prompts like:
“Give me 3 content ideas for each subtopic under ‘Lifestyle Choices.’”Ask for export-ready summaries:
“Summarise this mind map in bullet points for a presentation.”
🧠 Your Brain + ChatGPT = A Productivity Powerhouse
Next time you feel overwhelmed, try mind mapping with ChatGPT. It’s like having a brainstorming partner who never runs out of ideas.
Want a sample mind map template? Just ask!

Quirky AI Tools
🚀 Roketfy is an AI-powered toolkit built specifically for Etsy sellers, aiming to automate and optimise their store operations. One of its standout features is the AI Writer, which generates compelling, keyword-rich product titles and descriptions to boost discoverability. Roketfy also includes a Listing Checker that analyses your listings for SEO effectiveness and buyer appeal. For competitive insights, it offers a Market & Keyword Tool to uncover profitable niches and trending products. What makes it truly quirky is its AI Review Analysis, which sifts through customer feedback to provide actionable suggestions, essentially turning complaints into conversion strategies. It's like having an e-commerce analyst, copywriter, and SEO expert rolled into one.
🌐 Browse.ai brings the magic of web scraping to non-coders by letting users extract data from websites through a simple point-and-click interface. Whether you want to monitor competitors, track product prices, or scrape job listings, Browse.ai lets you automate these tasks without writing a single line of code. Its bots can handle pagination, login screens, and even captchas, making it robust enough for serious data extraction needs. You can export the data directly into Google Sheets, Airtable, or integrate with thousands of other platforms via Zapier. The quirky genius here? You teach it what to do by clicking on the data you want, like training a smart robot assistant.
🎨 Clipdrop is a visual playground for creatives powered by AI. Initially popular for its one-click background remover, it has evolved into a full suite of tools that includes Text-to-Image generation, Uncrop, Relight, and Cleanup, all built around cutting-edge models like Stable Diffusion. Whether you're a content creator trying to expand an image, a designer fixing lighting, or a marketer generating ad visuals in seconds, Clipdrop simplifies it all with one click. The tool’s appeal lies in how it turns complex editing tasks into instant, AI-assisted results. You don’t need Photoshop wizardry, just creativity and a few prompts.
📈 Quartile uses AI to supercharge performance marketing for e-commerce brands. It automates and optimises ads across platforms like Amazon, Walmart, Instacart, Google, and Shopify. By analysing real-time data, user behaviour, and product performance, it adjusts PPC bids, keywords, and campaigns to maximise ROI. Quartile isn't just about automation—it offers full-funnel management, combining machine learning with strategic oversight from ad experts. It's quirky angle? It acts like a 24/7 performance coach for your product listings, quietly tweaking every ad behind the scenes while you sleep. It's ideal for retailers wanting to scale up without getting buried in dashboards.
Trending AI Startups
🚀 Popcorn is an autonomous conversational AI agent designed to turn chat platforms like WhatsApp, Messenger, and Instagram into seamless sales and support channels. Built for businesses, it automates lead qualification, customer queries, marketing campaigns, and even payment collection, all via integrated chat workflows. The tool continuously improves through interaction tracking and performance analytics, enabling companies to scale conversational commerce without significantly increasing staff overhead. Backed by early funding, Popcorn is already transforming e-commerce, real estate, and hospitality sectors by acting as a 24/7 intelligent sales assistant.
🌐 Vahan leverages chatbot-like AI to transform blue- and grey-collar hiring in India. It automates high-volume recruitment and payroll operations using conversational workflows, enabling employers to scale their workforce in days rather than months. With access to a talent pool of over 300 million job seekers and collaborations with major carriers like Airtel, Vahan delivers rapid placements (20k+ monthly) and eliminates vendor complexity, offering payroll, compliance, and attendance solutions under one platform. The venture is Y‑Combinator- and Khosla-backed, committed to reshaping gig-economy hiring across India.
🏥Iterative Health applies AI-powered computer vision and ML to revolutionize gastrointestinal medicine and clinical trials. Their flagship “SKOUT” system enhances endoscopy diagnostics, detecting polyps, inflammation, ulceration, and bleeding in real time, with proven clinical trial results showing a 27% increase in polyp detection. The company also streamlines patient recruitment and scoring for gastroenterology trials, partnering with practices like Gastro Health to standardize trial efficiency and diagnostics across regions. Headquartered in Cambridge and backed by top investors, Iterative Health aims to democratize GI care and reduce disparities in access and outcomes
🤖Bottr is a highly configurable AI companion platform that lets users create a personalized avatar or assistant, friendly, coach-like, or knowledgeable, powered by popular models like GPT, Gemini, and Claude. With over 20 personality traits to choose from, you can customize its voice, behavior, and role. Bottr learns your preferences over time, offering advice, journaling support, reminders, and empathetic conversations. It caters to both productivity and emotional well-being, acting as a 24/7 support system, coach, or simply a judgment-free friend. With no-code creation and broad integration capabilities, Bottr positions itself as the ultimate personal AI companion.
AI-Generated Image of the Day

Prompt: A majestic octopus glides gracefully through a deep-sea canyon, its iridescent tentacles glowing with shifting bioluminescent patterns. Soft shafts of sunlight filter through the water from far above, casting ethereal rays onto coral-covered rocks and the canyon walls. Schools of tiny, silvery fish scatter as the octopus moves with silent power, its intelligent eyes scanning the mysterious terrain. The scene blends hyperrealism with fantasy, capturing a serene yet powerful moment in the ocean's hidden depths. Cinematic underwater lighting, high detail, mystical aquatic atmosphere, 8K resolution.
Tip: the more specific the better
Question of the Day
How Do You Think The Ethics of AI Matter in Healthcare Decision Making?
- AI can improve healthcare decision-making by providing data-driven insights that surpass human analysis.
- The impersonal nature of AI in decision-making in healthcare raises ethical concerns about the value of human life and empathy.
- AI should assist but not replace healthcare professionals in making decisions about patient care.
- The potential biases in AI algorithms can lead to unequal healthcare outcomes, undermining its ethical use.
Today’s Meme

That’s a Wrap
That’s it for today’s news in the world of AI!
If you have anything interesting to share, please reach out to us by sending us a DM on Twitter: @dthareja or email me at [email protected]
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