Meta’s Big XR Launch Just Slipped to 2027

Today's Updates and Insights

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2. Meta’s “Phoenix” Glasses Hit a Major Delay

3. AWS’ New AI Factories Will Change Enterprise Forever

4. AI Customer Service

5. I Asked ChatGPT To Make Me As Much Money As Possible

6. Latest AI Tools

7. Latest Tech News

8. Microsoft Cybersecurity Analyst Professional Certificate

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Over the next year, Roku predicts that 100% of the streaming audience will see ads. For growth marketers in 2026, CTV will remain an important “safe space” as AI creates widespread disruption in the search and social channels. Plus, easier access to self-serve CTV ad buying tools and targeting options will lead to a surge in locally-targeted streaming campaigns.

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Meta’s “Phoenix” Glasses Hit a Major Delay

📝 Short Intro
Meta has pushed back the launch of its next-gen mixed-reality glasses — code-named Phoenix — from the second half of 2026 to the first half of 2027. The decision follows internal memos saying the company needs more time to ensure the product meets quality and reliability standards.

📌 What You Need to Know

• Phoenix will now arrive sometime first half of 2027, instead of 2026 as initially planned.

• Meta execs say the delay gives teams “more breathing room to get the details right” — the aim is a polished, stable product over a rushed launch.

• The glasses’ design reportedly uses a “puck-style” external compute module (to keep the eyewear lighter and avoid overheating), similar in concept to other MR headsets — a technical challenge likely influencing the delay.

• The delay comes at a time when Meta’s XR-focused division, Reality Labs, is reportedly facing budget cuts (up to ~30%), reflecting a broader scaling-back of metaverse hardware ambitions.

• Meanwhile, Meta remains active in wearables and AR/VR: they recently released other products (smart glasses, AR devices) while refining Phoenix.

📎 Why This Matters
Delay of Phoenix shows how difficult it is to balance ambition and practicality in XR — Meta seems to be shifting from aggressive release schedules to prioritizing reliability. For users and developers, it signals that major MR products may take longer to arrive, but could be more refined when they do.

Read More: TechCrunch

AWS’ New AI Factories Will Change Enterprise Forever

📝 Short Intro

AWS has launched a new offering called “AI Factories” — a service that lets large enterprises and governments run fully managed AI infrastructure (powered by NVIDIA GPUs or AWS’s own chips) inside their own data centers, rather than using the public cloud.

📌 What You Need to Know

• AI Factories combines NVIDIA accelerators (or AWS’s Trainium3 chips), high-speed networking, storage, and AWS AI services — delivered directly to customers’ facilities.

• Organizations supply their own data-center space and power; AWS handles deployment, maintenance, and integration with services like Amazon Bedrock and SageMaker.

• This helps clients meet data sovereignty and compliance requirements, keeping sensitive data on-premises rather than on public cloud servers.

• AI Factories essentially treat a customer’s data center as a private AWS region, giving them access to the same advanced AI tools U.S. cloud users get — but under their own roof.

• Customers can choose between NVIDIA GPUs or AWS’s own Trainium chips, depending on their workload needs.

📎 Why This Matters
This move shows how big tech is shifting back toward private, on-premises infrastructure — driven by demand for data control, privacy, and regulatory compliance. For organizations working with sensitive or regulated data, AI Factories could make large-scale AI adoption far easier and faster — without sacrificing security.

Read More: TechCrunch

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I Asked ChatGPT To Make Me As Much Money As Possible

If you’re curious whether ChatGPT can seriously help you earn money — this video tries to put it to the test.

This video documents a creator’s challenge: they asked ChatGPT to “make me as much money as possible” with a small initial amount — and then followed the steps the AI suggested to try and turn a profit.

📋 What You’ll Learn

• How ChatGPT suggested building an affiliate-marketing website — from domain purchase to content creation and AI-generated logos/images.

• Step-by-step breakdown: domain + hosting cost, website setup, product links, and first promotional efforts.

• The reported “result”: turning an initial small investment (~$100) into a few-hundred dollars in one day through affiliate sales and external interest.

• How the creator leveraged AI automation — using ChatGPT for copywriting and planning; other AI tools (for design, images) for visual assets.

• Reality check: the experiment involved a big social audience and luck (investor interest & social traction), factors that might not apply for everyone.

✅ Use this as a reference: ChatGPT can help you generate business ideas quickly — but tangible results depend heavily on execution, consistency, and sometimes external factors (like audience reach or marketing luck).

Here is the full Video Tutorial 👉 Click Here

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 Latest Tech News

Ukraine Ministry of Digital Transformation and Kyivstar build national AI model using open-source tech

Ukraine is developing its own large-language model (LLM) based on open-source frameworks from Google, aiming for a self-sufficient AI system supporting government, telecom, and public-service applications in Ukrainian, Russian, and minority languages.

Apple appoints new VP of AI as it preps for next-gen ML push

Apple named former Microsoft AI executive Amar Subramanya as its new Vice President of AI, replacing its longtime head, signaling a ramp-up in foundation-model and machine-learning efforts across Apple products.

Memory-chip shortage deepens as global AI boom spikes demand—experts warn of supply-chain fallout

Rapid growth in AI infrastructure has triggered a surge in demand for high-bandwidth memory (HBM), sending component prices soaring and straining supply for both AI data centers and consumer electronics makers worldwide.

Bloomberg researchers publish two new machine-learning papers at NeurIPS 2025, focusing on finance and time-series forecasting

Bloomberg’s AI + Quant teams introduced papers at NeurIPS 2025, revealing new methods for forecasting and pricing tasks — showing how large-language-model techniques are increasingly being applied to finance and real-world data tasks.

Resources

Microsoft Cybersecurity Analyst Professional Certificate

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• Demonstrate your new skills with a capstone project and prepare for the industry-recognized Microsoft SC-900 Certification exam.