Welcome back, AI Enthusiasts!
In today’s AI summary rundown:
GitHub unveiled Agent HQ, a new interface that allows AI coding agents, including those from OpenAI and Anthropic, to integrate directly with the GitHub ecosystem.
With over 180 million users, GitHub provides Microsoft with a strategic platform to anchor the next generation of AI-driven developer tools.
GitHub’s leadership, including Jared Palmer, envisions developers focusing more on creative design and specifications, while AI agents handle routine coding tasks.
Jay Parikh, Microsoft EVP, has integrated GitHub into the Core AI division, signaling tighter alignment between AI innovation and developer tools.
The move cements Microsoft’s bid to dominate the AI-coding landscape, but also poses risks if GitHub can’t evolve fast enough to stay central in the agentic development era.
Read time is 4 min..
Insight: Sora’s New Pay-For-More Model Marks a Shift in AI Video Generation
Paid Video Credits Arrive for Sora Users
Sora users on the free tier can now buy extra credits — for instance, 10 additional video generations cost about US $4 via the Apple App Store. The move lets frequent creators extend usage beyond their free allowance.
Daily Generation Limits Set to Tighten
Currently, Pro users can generate up to 100 videos per day, while free users are limited to 30. OpenAI has hinted these caps may be reduced soon to manage system load and resource costs.
Variable Pricing Based on Video Attributes
Each video’s credit cost depends on factors like duration, resolution, and complexity. This tiered pricing structure reflects the computational expense of higher-quality or longer clips.
OpenAI Acknowledges Unsustainable Free Use
The company notes that offering unlimited free video generation isn’t financially viable. High-volume use has driven OpenAI to introduce paid options to maintain performance and scale.
Expanding the Creator Economy
Beyond extra credits, OpenAI’s roadmap includes creator monetisation features — such as enabling rights holders to charge for cameo appearances of popular characters. This points to a broader AI-powered creator ecosystem.
AI Training: Tutorial of the Day
🎓 AI Tutorial of the Day
How To Produce AI-Based Digital Art Collections
Define Your Artistic Vision
Decide on a clear concept, mood, or narrative for your collection — this ensures every piece feels connected and purposeful.
Select Your AI Art Tools
Choose reliable AI generators such as Midjourney, DALL·E, or Leonardo AI that suit your desired art style and level of creative control.
Create and Refine Your Prompts
Develop precise text prompts describing visual elements like style, color, lighting, and emotion. Iterate and adjust until the results align with your vision.
Curate and Polish Your Artwork
Review all generated outputs, select the strongest ones, and enhance them using editing tools for sharpness, tone, and consistency.
Publish and Showcase Your Collection
Organize your works with proper titles and descriptions, then present them on digital galleries, social platforms, or NFT marketplaces to reach a wider audience.

Quirky AI Tools
Bloom Coaching – AI Career Development Platform
Bloom Coaching blends professional coaching with AI-driven insights to help users accelerate their personal and career growth. It offers structured plans, personalized feedback, and regular progress tracking, empowering individuals and teams to achieve measurable leadership and performance improvements. Ideal for professionals seeking data-backed career advancement and self-development.
Atla – AI Evaluation & Safety Platform
Atla is designed to evaluate and enhance the reliability of AI systems. It provides tools for automated testing, bias detection, and output safety analysis, ensuring AI models behave as intended. Built for developers and researchers, Atla supports safer, more transparent deployment of advanced AI agents and applications.
Creasquare – AI Content Creation Suite
Creasquare simplifies digital marketing with AI-powered content generation and scheduling. Users can produce visuals, videos, and multilingual copy within a single dashboard. Its automation features make it a go-to solution for marketers, creators, and startups aiming to scale social media and brand storytelling efficiently.
Smartlead – AI Cold Email Automation
Smartlead automates email outreach with AI-driven personalization and deliverability optimization. It manages multiple inboxes, sequences, and analytics, helping sales teams and marketers achieve better engagement at scale. Perfect for agencies and growth teams seeking efficient, targeted lead generation through smart automation.
Trending AI Startups
Valiance Solutions is a deep-tech AI and data engineering company that helps enterprises and public-sector organisations unlock value from their data. It offers services spanning predictive analytics, generative AI, computer vision, and cloud-native data platforms, with focused expertise in areas like operational efficiency, risk detection, and industrial IoT. The company is ideal for organisations seeking to execute digital transformation through scalable AI solutions and a trusted technical partnership.
RedBlackTree is a technology services firm specialising in custom software, product development, and applied AI solutions, catering to startups, scale-ups and enterprises across industries. Their expertise spans open-source AI models, data platforms, and rapid prototyping, making them a great partner for companies needing technical build-out, iteration, and innovation support rather than off-the-shelf tools.
SwingVision is an AI sports tech startup that uses computer vision and machine learning to deliver real-time statistics, shot tracking, and line-calling for tennis and pickleball — all via a standard smartphone or tablet. With thousands of paying users, collegiate team adoption and a focus on democratising pro-level analytics, it’s ideal for athletes, coaches, and sports clubs looking to leverage AI for performance insight.
Seldon is a UK-based startup specialising in machine learning operations (MLOps) and AI infrastructure, aimed at helping enterprises deploy, monitor, scale, and govern ML models in production. Its modular framework (e.g., Core 2, LLM Module) supports cloud-agnostic deployment, real-time inferencing, explainability, and drift detection. Seldon is perfect for organisations moving from experimentation to production AI at scale.
AI-Generated Image of the Day

Prompt: A cozy European Christmas market at night, covered in soft falling snow. Warm golden lights hang above wooden stalls decorated with pine garlands and red ribbons. Vendors sell hot cocoa, handmade gifts, and pastries. Families and children in winter clothes stroll between stalls, smiling and holding cups of steaming drinks. A large Christmas tree sparkles with fairy lights in the background, reflecting on the snow-covered cobblestone street. The atmosphere feels festive, warm, and magical. Ultra-realistic 8K detail, cinematic lighting, soft bokeh, volumetric glow, natural skin tones, fine snow texture, shot with a 50mm lens, HDR photography, National Geographic realism.
Tip: the more specific the better
Question of the Day
In Large Language Models (LLMs), “fine-tuning” refers to?
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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