Welcome back, AI Enthusiasts!
In today’s AI summary rundown:
DeepMind’s Veo 3, capable of producing short videos complete with audio and dialogue, will be embedded in YouTube Shorts later this summer.
Veo 3 marks a generational upgrade from Veo 2 by adding built-in voices, sound effects, and ambient audio, giving Shorts a richer multimedia experience.
Currently, Veo 3 is accessible through Google’s paid Gemini Ultra or Pro plans, but YouTube has confirmed that its Shorts integration will be available for free.
With more than 200 billion daily views, YouTube Shorts ranks as one of the most-watched platforms globally, and the addition of AI tools aims to sustain and grow this momentum.
Experts have flagged risks around hyper‑realistic deepfakes, misinformation, and trust erosion, given Veo 3’s powerful audio/visual sync capabilities, even though Google has implemented watermarking and prompt filters.
Read time is 4 min..
Insight: Ancestra” Short Film Highlights the Promise- and Pitfalls- of AI-Generated Video
Hybrid production model
“Ancestra” blends live-action performance and practical sets with AI-generated visuals to depict abstract concepts like fetal health and maternal instincts.
Personal storytelling elevated by AI
McNitt used childhood photos to train AI, creating a synthetic newborn that visually represents her birth journey.
Efficiency vs. artistic nuance
The AI tools helped avoid practical challenges, like working with infant actors, but led to formulaic, clip‑based storytelling lacking narrative depth.
Economic and creative concerns
Despite cost savings and a smaller crew, the project raises questions about AI’s impact on VFX artists, concept artists, and other industry professionals.
Early-stage technology limitations
DeepMind’s tools still generate short, disjointed clips, meaning filmmaking pivots toward writing around AI output rather than crafting fully AI-led narratives.
AI Training: Tutorial of the Day
🧠 Build Your AI Chatbot: A Step-by-Step Guide
🛠️ Step 1: Choose a Platform or Framework
Start by selecting a chatbot-building platform or framework. Popular options include:
No-code: ChatGPT (via OpenAI), Botpress, Tidio, ManyChat
Code-based: Python with LangChain, Rasa, Microsoft Bot Framework
Choose based on your technical comfort and use case.
💬 Step 2: Define Chatbot Purpose & Use Case
Clearly outline:
What tasks the bot will perform (e.g., FAQs, bookings, support)
Who will it serve (target audience)
Where will it live (website, WhatsApp, Messenger, Slack, etc)
🧱 Step 3: Design the Conversation Flow
Create a user journey map:
Greeting message
User input options (buttons or free-text)
Bot responses
Escalation to human (if needed)
Use tools like Miro or Draw.io to visualize it.
🤖 Step 4: Add AI/NLP Capabilities
For intelligent responses, integrate NLP models:
OpenAI (GPT-4): For natural dialogue
Dialogflow / IBM Watson: For structured intent recognition
LangChain: To connect LLMs with tools, APIs, and memory
Train your model with sample questions and intents.
🔗 Step 5: Integrate with Data or APIs
Make your chatbot smarter by connecting it to:
CRMs (HubSpot, Salesforce)
Product databases
Google Sheets or external APIs
This allows the bot to fetch real-time data and take actions.
🚀 Step 6: Deploy and Test
Host on your site, messaging app, or custom app
Test for edge cases, typos, and multi-turn conversation
Use feedback and logs to improve responses
🌟 Bonus: Add Personality
Give your bot a tone- professional, quirky, or empathetic- and use consistent language and emoji (if applicable) to make it more relatable.
Quirky AI Tools
🖼️ Bannerbear
Best for: Automated Visual Content Creation
Bannerbear is a powerful tool that automates the generation of social media visuals, banners, and videos using APIs and dynamic templates. It's especially useful for marketers, e-commerce brands, and agencies that need to produce personalized graphics at scale. With integrations like Zapier and Airtable, users can connect them to workflows and generate thousands of visual assets without manual design work.Best for: Enterprise-Grade ML Model Development
Microsoft’s Azure Machine Learning is a cloud-based platform for building, training, and deploying machine learning models. It supports popular frameworks like PyTorch, TensorFlow, and Scikit-learn, and is geared towards developers and data scientists working on production-grade AI solutions. The platform also offers robust MLOps support, data governance, and scalability features for enterprise AI initiatives.Best for: AI-Powered Legal Contract Management
ContractPodAi leverages AI to automate and streamline the lifecycle of legal contracts—from creation and negotiation to analysis and compliance. Its key features include clause-level search, smart contract templates, legal chatbot assistants, and advanced analytics. Legal teams and corporate counsel use it to reduce manual review time, mitigate risks, and ensure consistent contract standards across departments.🛒 WiziShop
Best for: AI-Driven eCommerce Store Creation
WiziShop is an all-in-one eCommerce platform that uses AI to help users create online stores quickly and effectively. It includes AI tools for product description writing, SEO optimization, and marketing automation. The platform simplifies store setup for entrepreneurs while enhancing customer conversion with AI-generated content and intuitive user flows.
Trending AI Startups
📊 Aryng
Focus: Data-Driven Decision Intelligence
Aryng is a cutting-edge AI startup offering analytics consulting and training, with a focus on decision science and AI adoption for business impact. Their key product, Data2Decision™, helps enterprises turn raw data into actionable business strategies using machine learning and AI frameworks. Aryng stands out by combining business acumen with technical expertise, making AI accessible to non-technical teams.🎯 TwoDots
Focus: AI-Powered Custom Data Solutions
TwoDots specializes in developing intelligent, scalable solutions that blend artificial intelligence, data engineering, and automation. Their services range from building recommendation engines to developing AI-driven workflows tailored to enterprise needs. Known for solving unique business problems with custom ML models, TwoDots helps companies extract deep value from their data across industries like retail, healthcare, and finance.🩺 K Health
Focus: AI for Healthcare Diagnostics
K Health is revolutionizing healthcare with AI-powered virtual care. It uses machine learning algorithms trained on millions of anonymized patient records to provide instant insights into symptoms, diagnoses, and treatment options. Users can chat with a doctor via the app, receive personalized advice, and access affordable care. K Health is leading the charge in democratizing healthcare through accessible, data-driven medical assistance.Focus: Intelligent Document Processing
TextLayer AI enables businesses to automate document parsing, analysis, and transformation using natural language processing and machine learning. It’s particularly effective for extracting structured data from unstructured formats like PDFs, emails, and reports. Financial services, law firms, and logistics companies use TextLayer to improve accuracy, reduce manual labor, and speed up decision-making.
AI-Generated Image of the Day
Prompt: A hyper-realistic image of a fighter pilot standing confidently on an airbase runway at dawn. The pilot wears a sleek flight suit with a helmet tucked under one arm, reflecting early morning light. Behind them, a modern fighter jet (like an F-22 or Rafale) is parked with subtle heat haze rising from the tarmac. The sky glows in soft orange and blue tones, casting dramatic shadows. Emphasize detail in the gear, facial expression (calm and focused), and the high-tech aviation setting.
Tip: the more specific the better
Question of the Day
Do you think that artificial intelligence has the potential to narrow or widen existing social and economic inequalities?
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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