Google’s AI Agents Can Now Make Payments

AND: Launch a 3K–7K Micro-Learning Corporate Training Side Hustle, Learn How to Communicate with AI Using Learn Prompting, & Build AI Literacy in Gartner’s Webinar

Welcome to BitBiased.AI Weekly Newsletter

Robi: Your weekly AI dose is here. Google just gave AI assistants wallets with the Agent Payments Protocol, letting them handle real purchases, and maybe your lunch money too. Inside, you can launch a 3K–7K/month micro-learning corporate training side hustle, master prompt engineering with Learn Prompting’s “Communicating with AI” course, and join Gartner’s executive webinar to build AI literacy and unlock real business value. Let’s dig in.

In a Nutshell:

  • Google launches Agent Payments Protocol, GPT-5 Codex writes code for 7 hours, and Microsoft/OpenAI finalize a 100B+ restructuring

  • AI Use Case: Launch a 3K–7K/month micro-learning service for corporate training, delivering interactive lessons, quizzes, videos, and email drip campaigns

  • xAI cuts 500 data annotation jobs, Harvard’s PDGrapher discovers new therapies, DeepMind accelerates drug discovery, and Albania appoints the world’s first AI minister

  • 4 Tools to analyze speech and text, automate emails/workflows, manage Kubernetes clusters, and enhance command-line experiences

  • Learn prompt engineering with Learn Prompting, and explore AI literacy strategies in Gartner’s executive webinar

Latest AI News

AI Updates of the Week

  1. Google’s AI Agents Can Now Make Payments: Google has unveiled the Agent Payments Protocol (AP2), a new system that allows AI agents to complete purchases and financial transactions for users. With AP2, AI can manage complex multi step tasks such as booking flights and hotels, or even creating coordinated product bundles across different merchants. The protocol is designed to ensure transparency and security, with all transactions verified through cryptographically signed records that track user intent and authorization. Google has already secured support from over 60 major merchants and financial partners, including Mastercard, PayPal, and American Express. This broad adoption signals strong industry confidence in AP2’s potential to standardize AI driven commerce. The system could become a cornerstone of autonomous agent economies, where AI assistants not only recommend products but execute purchases directly on behalf of users. While the move promises convenience and efficiency, it also raises regulatory and consumer protection questions around accountability, fraud, and privacy.

    Source: TechCrunch

    Robi: Your AI assistant just got a wallet. Next step? Asking you for lunch money.”

  2. GPT 5 Codex Writes Code for 7 Hours: OpenAI has unveiled GPT 5 Codex, its most advanced AI model for software development, designed to autonomously handle complex coding tasks. Unlike previous versions, GPT 5 Codex can dynamically adjust its compute time based on task complexity, ensuring efficiency for both simple and large scale problems. The model can also operate autonomously for over seven hours, making it capable of tackling multi stage projects without constant human input. Key upgrades include improved bug detection, smarter code refactoring, and a 94 percent reduction in token usage for simple tasks, which significantly cuts costs. Benchmark testing on SWE bench shows GPT 5 Codex outperforming even GPT 5, highlighting its specialized focus on software engineering. Adoption is already underway, with companies like Cisco Meraki using it for network automation and Duolingo exploring it for backend optimizations. OpenAI says it is built as an assistive partner, enabling engineers to focus on creativity and higher level architecture. With this release, AI assisted programming is edging closer to autonomous software engineering.

    Source: OpenAI

    Robi: “Seven hours of non stop coding without complaining once? Sorry developers, your coffee breaks just got awkward.”

  3. Microsoft and OpenAI Finalize $100B Restructuring Stake: OpenAI has finalized a $100 billion plus equity restructuring deal between its nonprofit parent and its for profit subsidiary. The nonprofit parent, OpenAI Inc, is taking a controlling stake in OpenAI Global, reinforcing oversight while ensuring the company has access to the financial resources needed for its ambitious research. The restructuring is meant to support the safe and responsible development of artificial general intelligence, while still allowing OpenAI to scale its commercial offerings. By tightening nonprofit control, the company hopes to avoid mission drift and demonstrate its commitment to safety, even as competition with Anthropic, Google, and xAI intensifies. Microsoft, already a major partner and investor, is expected to continue benefiting from close integration with OpenAI technologies. Supporters view OpenAI’s structure as a model for aligning business growth with societal benefit, though critics argue that such large capital stakes complicate its mission.

    Source: CNBC

    Robi: “Nothing says ‘nonprofit’ like a one hundred billion dollar handshake.”

Learning Resources

The Great Knowledge Acceleration: Executive Leaders, Build AI Literacy to Ensure AI Business Value Realization

Hosted by Gartner

Explore how you can create lasting business value from AI by building AI literacy across your organization.

This leadership webinar reveals why many C suite leaders believe their AI investments are not delivering returns and how a well designed literacy program can fix that. Discover what works, from aligning AI training with outcomes to embedding change management alongside your AI initiatives.

🔍 Why You Should Attend:

  • Understand how to connect AI literacy training to real business results

  • Learn a progressive approach to building an AI literacy program that drives value realization

  • Discover proven learning practices that maximize impact for your teams

  • Walk away with recommended actions to design and deliver effective AI literacy in your organization

Top AI Tools

AI Tool For Professionals & Businesses

Professional

  1. Nonverbia: Analyze speech and text to detect sentiment, understand patterns, and gain insights for better decisions.

  2. Merlin: Automate emails, tasks, and workflows to streamline daily operations and boost productivity.

Business

  1. Rafay: Deploy, manage, and scale Kubernetes clusters across multiple clouds with automation and centralized governance.

  2. Warp: Enhance the command-line experience with AI-powered suggestions, integrated workflows, and collaborative features.

Other News in AI

Beyond the Headlines:

xAI Cuts 500 Data Annotation Jobs: Elon Musk’s xAI has laid off roughly 500 workers, about a third of its data annotation team, as it pivots from generalist AI tutors to specialist roles. These employees were key in training Grok by labeling and contextualizing raw data. xAI plans to expand its specialist tutor team tenfold, aiming for higher efficiency and more targeted AI training.
Source: Business Insider

🧬 Harvard’s PDGrapher Unlocks New Therapies: Harvard Medical School researchers developed PDGrapher, a free AI tool that identifies gene-drug combinations capable of restoring diseased cells to healthy states. By predicting effective treatments earlier, the model could reduce costly dead-end trials and accelerate therapies for cancer, Parkinson’s, and Alzheimer’s, potentially saving billions in R&D while advancing precision medicine.
Source: Gene Online

💊 DeepMind Says AI Could Speed Drug Discovery: DeepMind CEO Demis Hassabis told Bloomberg AI could shrink drug discovery timelines from a decade to months. AlphaFold and spin-off Isomorphic Labs expect their first AI-designed drugs to enter clinical trials this year. This milestone could revolutionize personalized medicine, enabling faster, more precise treatments and transforming the pharmaceutical industry’s approach to research and development.
Source: BloomBerg

🤖 Albania Appoints AI Minister: Albania has named “Diella,” an AI system, as its Minister for Public Procurement, the world’s first AI minister. Diella will evaluate government tenders and contracts, aiming to reduce corruption and speed decisions. While largely symbolic, the move sparks debate: supporters praise innovation, critics warn of hacking, bias, and accountability risks. International observers are watching closely to see if it succeeds or falters.
Source: Reuters

AI Use Case

AI in Action: Real-World Use Case

 

Micro-Learning for Corporate Training

🎯 Goal: Help HR teams, L&D managers, and training consultants create bite-sized learning modules with AI: interactive lessons, quizzes, videos, and email drip campaigns, delivered in a fraction of the time.

 Pick a Niche + Format
Target organizations that need efficient training solutions:

  • Corporates training employees on compliance & skills

  • Startups onboarding new hires quickly

  • HR/L&D consultants offering training packages

  • Remote teams needing flexible learning

Offer tiered packages: Lesson Scripts Only, Lessons + Media, or Full Training Bundle (scripts + visuals + videos + LMS-ready modules).

🛠️ Build the Service System
  Use these AI tools to develop interactive training content:

  • ChatGPT Generate course outlines, lessons & scripts

  • Synthesia — AI video lessons with avatars & voiceovers

  • Canva — Infographics, slides, and quick visuals

  • Quizgecko — Auto-generate quizzes & assessments from text

  • Descript — Edit training videos & add captions

  • EdApp — Deliver mobile-first micro-learning modules

 Polish the Deliverables
  Turn HR guidelines and training docs into engaging micro-learning experiences:

  • 5–10 min AI video lessons

  • Interactive quizzes & assessments

  • Engaging infographics & training slides

  • Mobile-friendly learning paths

  • Automated reminder emails to track progress

📦 Package and Deliver
 Make it easy for clients to roll out training:

  • ClickUp — Manage content creation workflows

  • Miro — Collaborate on training blueprints

  • WeTransfer — Deliver large training files securely

  • Wave — Simplify invoicing & payments

  • Calendly — Schedule consultation calls

📢 Build Authority and Scale

  • Share “Compliance Training in 24 Hours with AI” case studies on LinkedIn

  • Offer a free “AI Training Module Template” as a lead magnet

  • Partner with HR consultancies & online academies

  • Run a LinkedIn/TikTok series: “AI Tools for Corporate Training”

⏱️ Time: 4–6 hours setup, 3–4 hours per training module
💰 Potential: 300–700 per module; 10 modules/month = 3K–7K monthly income

AI Prompt

This Week’s Pick: Learn Prompting, Your Guide to Communicating with AI

Whether you're brand new, exploring generative AI, or ready to master prompt engineering, this free resource from Learn Prompting is your all in one foundation.
Learn Prompting offers a comprehensive guide and library of courses that cover everything from the basics of generative AI and prompt structure to advanced techniques like prompt hacking, reliability, and image prompting.

What you'll learn:

🤖 What generative AI is and how prompts drive model behavior
🧠 How to write clean, effective prompts using structure, instruction, and examples
🎯 Intermediate and advanced methods for refining prompts and addressing challenges like bias or hallucinations
🌐 How to apply prompting techniques in real world tools, image generation, agent workflows, and security contexts

It’s beginner friendly, research backed, and built to scale with your curiosity and skill.
No installs required. Just dive in online and learn at your own pace.

Socials

Trending on Socials

🚀 Grok 5 Sparks AGI Frenzy: Elon Musk set X on fire after claiming xAI might actually reach AGI with Grok 5, admitting he never thought it was possible before. The post instantly sent hype levels soaring, with fans cheering and skeptics rolling their eyes. Grok 4 had already blown past AGI benchmarks, leaving rivals gasping on the ARC leaderboard. Musk’s bold confidence now feels like a movie trailer teaser, part promise, part provocation, and the internet is buzzing over whether this is genius foresight or just another Musk sized mic drop.

💸 ChatGPT Vs Crazy Charges: A Redditor says they got slapped with a ridiculous $6,000 apartment charge, and then ChatGPT helped dispute it. Using clever prompt engineering, the AI broke down lease jargon, highlighted unjust fees, and drafted a reply that got the landlord squirming. Cue victory dance: the user got the charge reduced. Finally, AI gets to be the tenant’s lawyer.

📈 AI Art Limits Pushed: Eito Miyamura demonstrated how AI models are now combining sketch recognition, style transfer, and real‑time feedback to turn rough doodles into polished artwork, faster than many artists can finish a second cup of coffee. The demo became a hit, inspiring both “this will replace me” fears and “how do I get that tool?” excitement. Expect folks to start sketching like they’ve got magic tools in their hands.

🤯 Gemini Bot Meltdown: Reddit users witnessed Gemini go off-script after it failed to produce an answer; the AI reaction was over-the-top in the best kind of way. Think dramatic digital tantrum worthy of memes. Everyone’s cracking up, wondering what even broke under the hood. Clearly, when AI chokes, it does so with flair.

Craving more AI chaos? Read Daily AI News at BitBiased.AI.

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Thanks for reading -

Stay curious, Stay AI biased. – Robi & the BitBiased.AI team