Claude 4.5 Becomes Faster and Cheaper with Major Reasoning Upgrades

AND: Build a 3K–12K/month AI Micro-Course Factory, Learn 2026 Automation Trends with A3, and Master Prompt Engineering with Learn Prompting

Welcome to BitBiased.AI Weekly Newsletter

Robi: Your weekly AI dose is here. Claude 4.5 just leveled up again with sharper reasoning, lower costs, and serious upgrades to coding and automation. Inside, you’ll see how to launch a 3K–12K/month AI micro-course business, master prompt engineering with Learn Prompting’s beginner guide, and dive into A3’s webinar on 2026 industrial automation trends. Let’s dig in.

In a Nutshell:

  • Claude 4.5 gets smarter and more affordable, ChatGPT becomes a personal shopping assistant, and OpenAI expands voice chat and regional data hosting for enterprises.

  • AI Use Case: Build a 3K–12K/month AI Micro-Course Factory for creators and educators.

  • OpenAI finalizes its first device, Harvard debuts PopEVE for rare diseases, Figure AI faces safety allegations, Nano Banana Pro sparks handwriting-forgery concerns.

  • 4 Tools to Supercharge Your Productivity and Business Workflow

  • Learn the fundamentals of prompt engineering with Learn Prompting and explore 2026 automation trends in A3’s industry webinar.

Latest AI News

AI Updates of the Week

  1. Claude 4.5 gets smarter and cheaper: Anthropic has launched Claude Opus 4.5, a major upgrade that positions the company at the forefront of advanced AI reasoning, coding, and agentic automation. Early benchmarks show Opus 4.5 significantly outperforming top competitors, including OpenAI’s and Google’s newest models, especially in areas like multi-file coding, tool-assisted problem solving, and autonomous computer-use tasks. Despite the performance boost, Anthropic says Opus 4.5 is more affordable than the previous Opus 4.1, signaling an aggressive push toward premium capability at lower cost. Opus 4.5 is engineered for long-context reasoning, reliable planning, and improved constraint-following, making it ideal for enterprises adopting AI agents for research, operations, and engineering. .

    Source: Anthropic

    Robi: “Claude 4.5 can now automate your job and justify its own promotion.”

  2. ChatGPT becomes your personal shopper: OpenAI has rolled out a new shopping research feature that turns ChatGPT into a personal product-finding assistant, and it’s free for all users. The tool works like a personalized shopping agent: ChatGPT asks clarifying questions about your needs, budget, preferences, and use cases, then searches the web in real time to surface recommendations. It continues refining results based on your feedback, narrowing down options the way a human expert would. The feature is particularly powerful for comparing specs, analyzing reviews, and summarizing information into clean, digestible recommendations. Users can request top picks, side-by-side comparisons, or solutions tailored to specific needs like “best laptop for graphic design under $1,000” or “quietest air purifier for a small apartment.”

    Source: OpenAI

    Robi: “Finally, someone who won’t judge your 3 a.m. bidet search.”

  3. OpenAI adds voice chats and regional data hosting: OpenAI has announced two major updates aimed at expanding enterprise adoption and improving user experience. First, the company will now allow organizations to store ChatGPT and API data in specific geographic regions, ensuring compliance with local privacy and data residency laws. This gives global enterprises, especially in the EU, Middle East, and Asia-Pacific, a clearer path to deploying OpenAI systems at scale without regulatory friction. The second update introduces deeper integration of ChatGPT Voice, which now works natively inside text chats. Users can switch between typing and speaking instantly, without initiating a separate voice mode. The new system supports real-time voice responses, smoother interruptions, emotional tone control, and quicker transitions during multi-turn conversations. It essentially transforms ChatGPT into a fully conversational assistant that feels more like talking to a human than using a tool.

    Source: OpenAI

    Robi: “Finally, ChatGPT can hear you vent in real time, just like your ex, but smarter.”

Learning Resources

The Great Knowledge Acceleration: 2026 Industrial Automation Trends: What to Expect in the Coming Year

Hosted by Association for Advancing Automation (A3)

Explore how automation has evolved in 2025, and what to expect next. Hear about emerging players, new technologies, shifts toward sustainability, and how data + generative AI are reshaping industrial automation.

This webinar will cover a top 10 list of movers and shakers and highlight what makes them stand out. The session also tackles industry-wide trends like sustainability and beyond, and offers a forward-looking view on what the future holds for automation.

🔍 Why You Should Attend:

  • Discover new technologies and new companies shaping automation

  • Get a curated “top 10 movers and shakers” list and what their innovations mean for the industry

  • Understand how sustainability and other macro-trends are influencing automation strategies

  • See how data and AI are changing the playing field for industrial automation

Top AI Tools

AI Tool For Professionals & Businesses

Professional

  1. Jotlin: Transform vague product ideas into structured specs, PRDs, and user stories with AI-guided refinement and edge-case detection.

  2. Scraib.app: Instantly rewrite text across Mac apps like Slack, Word, or Gmail using a single shortcut and your preferred writing style.

Business

  1. UXMagic.ai: Turn text prompts, sketches, or screenshots into production-ready UI designs and export them to Figma, React, or HTML instantly.

  2. Sprites AI: Build and automate marketing workflows from prompts with competitor ad insights, SEO automation, and no-code PPC management.

Other News in AI

Beyond the Headlines:

📱 OpenAI Finalizes Design for First AI Device: Sam Altman and former Apple design chief Jony Ive revealed that OpenAI has finalized the design of its first AI hardware product, expected to launch in less than two years. Speaking at Emerson Collective’s 2025 Demo Day, they said the team is now prototyping a screen-free device about the size of a smartphone. Altman called it “simple, beautiful, and playful,” while Ive emphasized intuitive, naïve simplicity.
Source: The Verge

🧬 AI Model PopEVE Advances Rare Disease Detection: Harvard Medical School researchers have introduced PopEVE, a new AI model that pinpoints genetic variants most likely to cause disease. Early results show it outperforming systems like DeepMind’s AlphaMissense, particularly for rare single-variant conditions that usually require lengthy expert analysis. By leveraging population genetics data, PopEVE identifies harmful mutations faster and more accurately.
Source: Harvard Medical School

🤖 Figure AI Sued Over Robot Safety Concerns: Robert Gruendel, former head of product safety at Figure AI, has filed a federal lawsuit alleging wrongful termination after warning that the company’s humanoid robots posed serious risks. He claims one robot carved a ¼-inch gash into a steel refrigerator door and that he was fired days after submitting safety reports. Gruendel also says the company softened its safety roadmap for investors. Figure AI denies all allegations.
Source: Futurism

✏️ Google’s Nano Banana Pro Can Copy Your Handwriting: Google’s Nano Banana Pro model is raising eyebrows after users found it can solve homework and reproduce answers in a person’s exact handwriting. A single photo of a math problem is enough for the model to analyze, solve, and rewrite the solution in a near-perfect imitation of the user’s writing. The discovery has sparked new concerns around academic integrity and identity misuse.
Source: NDTV

AI Use Case

AI in Action: Real-World Use Case

 

AI Micro-Course Factory for Creators

🎯 Goal: Build bite-sized, high-quality AI-generated micro-courses creators can sell as digital products.

 Pick a Niche + Format

Niche Options

  • Fitness coaches who want premium lesson packs

  • Craft & DIY creators building paid mini-classes

  • Finance influencers wanting quick educational modules

  • Language tutors creating rapid-learning units

Format Ideas

  • 20-minute themed micro-courses

  • “Swipeable” lesson packs (PDF + video)

  • 5-day challenge sequences

  • Skill-builder audio guides

🛠️ Build the Service System

  • ChatGPT — Generate scripts, lessons, examples

  • Claude — Produce structured curriculum outlines

  • Gamma — Turn scripts into beautiful slide decks

  • Canva — Design course covers + PDF worksheets

  • HeyGen — Turn scripts into presenter-style videos

  • ElevenLabs — Create natural, branded voiceovers

  • Descript — Edit audio/video fast

  • Notion — Build client portals + organize deliverables

Polish the Deliverables

  • Branded micro-course (slides + video + PDF)

  • Social-ready promo pack for clients

  • Course sales page copy

  • Thumbnail + cover bundle

  • Optional AI presenter video

📦 Package and Deliver

  • Trello — Client workflow + revisions

  • Stripe — One-click payments

  • Tally — Intake questionnaires

  • Google Drive — Final delivery folder

  • Zapier — Auto-send updates + confirmations

  • Slack — Client communication

  • Calendly — Book kickoff calls

📢 Build Authority and Scale

  • Post micro-course “before/after” transformations on TikTok

  • Offer a low-cost starter course to grow an email list

  • Partner with niche creators for revenue-share launches

  • Create a monthly subscription for recurring course packs

⏱️ Time: 2–4 hours setup, 1–2 hours per micro-course
💰 Potential: 3k – 12k/month depending on volume and niche

AI Prompt

This Week’s Pick: Learn Prompting, Introduction to Prompt Engineering

Whether you're new to generative AI, curious about prompt engineering, or looking to sharpen your skills, this free guide from Learn Prompting is your all in one starting point.
This Introduction to Prompt Engineering guide breaks down the basics of how prompts influence AI behavior, how to craft prompts with clarity, and how to avoid common pitfalls when working with language models.

What you'll learn:

🤖 What prompting is and how it shapes output from AI models
✍️ How to structure prompts clearly to guide responses effectively
🧠 Why context, examples, and instructions matter when working with AI
🔍 How to spot and fix prompt faults like ambiguous instructions or unintended bias

It’s beginner friendly, easy to follow, and perfect as your first step into prompt design.
No installations needed. Just open in your browser and start learning.

Socials

Trending on Socials

🤖 Gemini Picks the Underdog: Sergey Brin ran a quirky experiment in a Google chat and asked Gemini which team member deserved a promotion. Instead of choosing the loudest or most senior voices, the AI spotlighted a quiet young engineer who consistently delivered but rarely spoke up. Leadership double checked her work and approved the promotion. The moment shows how AI might finally catch the talent everyone else overlooks.

📉 Altman Warns of Headwinds: A leaked internal memo shows Sam Altman telling employees that the next few months could be rough as Google’s Gemini 3 has shifted industry momentum and increased pressure on OpenAI. He pointed to Google’s huge user base and custom chips, while OpenAI faces slowing revenue growth and potential multibillion dollar losses by 2028. Altman urged the team to stay focused on long term superintelligence breakthroughs, saying he still believes deeply in the mission.

🤖 Musk Flexes AI Chips: Elon Musk says Tesla has spent years building its own AI chips, with millions already running in cars and data centers. The company is on AI4 now, close to AI5, and starting AI6, aiming for a new design every year. Musk claims Tesla will someday ship more AI chips than everyone else combined and is inviting top engineers to email proof of their skills.

🧾 Banana Forgery Frenzy: Nano Banana Pro is back in the spotlight after users found it can create shockingly realistic fake documents with a single prompt. Receipts, KYC forms, even passport style pages all recreated with perfect math and handwriting. The model rides on top of Google’s Gemini 3 Pro, which handles reasoning before Nano Banana draws the final image. Systems can detect SynthID but humans are basically doomed. The visual fidelity is getting too real.

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Thanks for reading -

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