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Google shocks crypto world with $3B deal for Cipher Mining stake but here’s the twist

Google secures a 5.4% stake in Cipher Mining by backing $1.4B obligations in a multi-year AI data center partnership with Fluidstack

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Google takes a 5.4% stake in Cipher Mining through a $3 billion AI data center deal

In a move that blends the worlds of artificial intelligence and cryptocurrency, Google has taken a surprising 5.4% equity stake in Cipher Mining. The deal, valued at $3 billion, ties directly to the company’s long-term strategy of expanding its role in high-performance computing (HPC) while keeping a firm foot in the evolving crypto-AI crossover.

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According to Cipher’s announcement on Thursday, Google agreed to backstop $1.4 billion of obligations owed by Fluidstack, an AI data center provider, in exchange for roughly 24 million shares of Cipher common stock. The agreement effectively gives the tech giant a 5.4% pro forma equity ownership in the Texas-based mining firm.

A bigger play in AI data centers

This transaction forms part of Fluidstack’s broader $3 billion, 10-year deal with Cipher, under which Cipher will lease out massive computing power to support AI operations. Specifically, Cipher will deliver 168 megawatts (MW) of computing capacity, expandable to 244 MW at its Barber Lake site in Colorado City, Texas. The site itself holds enormous potential, with a capacity ceiling of 500 MW and 587 acres of surrounding land ready for expansion.

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Cipher CEO Tyler Page called the move a major step forward:

We believe this transaction represents the first of several in the HPC space as we continue to scale our capabilities and strengthen our position in this rapidly growing sector.

A repeat of an August surprise

The news follows another deal in late August when Google became the largest shareholder in TeraWulf by taking a 14% stake through a similar obligation-backing agreement with Fluidstack. The pattern is clear: Google isn’t just dipping its toes into crypto mining—it is strategically aligning with companies positioned at the intersection of Bitcoin mining and AI infrastructure.

Why crypto miners are embracing AI

The trend isn’t unique to Cipher. Other Bitcoin mining firms are pivoting to AI and GPU-driven computing. Just this week, CleanSpark announced a $100 million financing round that will partly fund AI infrastructure. Investors rewarded the move, sending the company’s stock up by 5% in after-hours trading.

A mid-September analysis by The Miner Mag highlighted that Bitcoin mining stocks have been outperforming Bitcoin itself, largely because investors are favoring companies with GPU and AI pivots. Similarly, Hive Digital Technologies reported record revenue and earnings in August after expanding aggressively into GPU and AI services.

What this means for Google

For Google, the deal signals far more than just a crypto investment. It underscores the company’s strategy to secure massive computing resources for AI development at a time when demand for GPUs and high-capacity data centers is skyrocketing.

By securing a stake in Cipher Mining, Google gains access to an energy-intensive, high-scale infrastructure that can be repurposed for AI workloads, while simultaneously positioning itself as a central player in the evolving crypto-AI landscape.

Industry watchers now wonder whether this is just the start of a larger acquisition spree that could see Google entwine itself even deeper with crypto-centric high-performance computing firms. If so, the next few years could redefine the future of both Bitcoin mining and AI.

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MasterClass Slashes Prices by 50% Ahead of Holidays — Learn From Martin Scorsese, Gordon Ramsay and Kim Kardashian for Less Than Ever…

From Hollywood legends to business icons, MasterClass rolls out a rare half-off deal just in time for last-minute holiday gifting.

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MasterClass Holiday Sale 2025: 50% Off Courses From Scorsese, Ramsay and More
MasterClass offers 50% off its annual subscription, featuring courses from Hollywood icons, chefs, athletes, and global thought leaders.

If you’re still searching for a meaningful last-minute holiday gift — or planning to invest in yourself before the new year — MasterClass has just made the decision a lot easier.

The celebrity-led online learning platform is currently offering 50 percent off its annual membership, matching its much-anticipated Black Friday pricing. The limited-time holiday sale runs from December 16 through December 24, making it one of the strongest deals of the year for curious minds and lifelong learners.

At the center of the offer is the MasterClass Plus plan, now discounted to $90 per year, unlocking access to more than 200 premium video courses taught by some of the most recognizable names in entertainment, sports, food, science, and business.

A Classroom Led by Icons, Not Textbooks

What sets MasterClass apart isn’t just the production quality — it’s the instructors.

Subscribers can learn filmmaking from legendary director Martin Scorsese, storytelling from hitmakers like Shonda Rhimes, and cinematic tension from Spike Lee. Fans of pop culture television can dive into creative collaboration with The Duffer Brothers, the minds behind Stranger Things.

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The platform also reaches far beyond Hollywood.

Science enthusiasts can explore the universe with astrophysicist Neil deGrasse Tyson, while motorsport fans can learn focus and performance from seven-time Formula One world champion Lewis Hamilton.

And for those who believe creativity begins in the kitchen, culinary legends like Gordon Ramsay and lifestyle icon Martha Stewart offer master-level instruction on food, hospitality, and home excellence.

Kim Kardashian Enters the Classroom

One of the most talked-about additions this month comes from entrepreneur and media powerhouse Kim Kardashian, who recently launched her first-ever business course on the platform.

Titled “The New Rules of Business: The Ten Kimmandments,” the class pulls back the curtain on personal branding, deal-making, and building a billion-dollar empire in the modern attention economy — making it especially appealing to young founders and creators.

New classes like this are added regularly, ensuring the platform evolves alongside cultural and professional trends.

MasterClass Holiday Sale 2025: 50% Off Courses From Scorsese, Ramsay and More


Learning on Your Time, Your Terms

Beyond star power, MasterClass continues to refine its user experience. Lessons are designed to be watched on-demand, allowing users to start, pause, or revisit sessions whenever they like. The platform also now supports offline downloads, making it easier to learn during travel or commutes.

The Plus plan adds another layer of convenience, allowing two users to stream simultaneously, making it ideal for couples, families, or shared gifting.

In an age where attention is fragmented and learning often feels transactional, MasterClass positions itself as something different — immersive, thoughtful, and aspirational.

Why This Holiday Deal Stands Out

While online education platforms are everywhere, few combine storytelling, credibility, and inspiration the way MasterClass does. The holiday discount brings the annual cost down to a level that rivals a single workshop or textbook — but with access to hundreds of lessons taught by the very people who shaped their industries.

For anyone looking to gift skills instead of stuff, this limited-time sale offers rare value — and a compelling way to start the new year learning from the best.

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“We Don’t Need to See Your Data to Learn From It…”: Neel Somani Explains the Quiet AI Revolution Protecting Privacy

As artificial intelligence races ahead and privacy laws tighten, Berkeley-trained technologist Neel Somani reveals how machines are learning responsibly — without exposing sensitive data.

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Neel Somani on How Privacy-Preserving AI Is Changing the Digital Landscape
Neel Somani, a Berkeley-trained technologist, discusses how privacy-preserving machine learning is reshaping the future of artificial intelligence.

For years, the tech industry lived by a simple mantra: more data equals better intelligence. The larger the dataset, the smarter the algorithm — or so everyone believed.

That belief is now being challenged.

At the center of this shift is Neel Somani, a researcher and technologist trained at University of California, Berkeley, whose work sits at the crossroads of artificial intelligence, mathematics, and data ethics. As governments, corporations, and consumers grow increasingly wary of how personal information is used, Somani argues that the future of AI depends not on data accumulation — but on restraint.

“Privacy-preserving models represent a new kind of intelligence,” Somani says. “They allow organizations to learn from patterns without ever seeing the raw data itself.”

It’s a subtle but radical idea — and one that could redefine the digital economy.

When Data Became a Liability, Not an Asset

In the early days of machine learning, companies treated data like oil: extract as much as possible, refine it centrally, and monetize the results. From social platforms to financial services, vast data warehouses became the norm.

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Then came regulation.

Laws such as GDPR in Europe and CCPA in the United States signaled a turning point. Privacy was no longer a footnote — it was a legal, ethical, and reputational risk. Public trust began to erode, and organizations found themselves walking a tightrope between innovation and compliance.

That tension, Somani believes, forced a long-overdue reckoning.

“Data isn’t just fuel,” he explains. “It represents people — their health, their finances, their identities. Treating it carelessly undermines trust at every level.”

What Is Privacy-Preserving Machine Learning?

The answer to this dilemma lies in privacy-preserving machine learning (PPML) — a growing field that allows AI systems to learn without exposing sensitive information.

Instead of pulling data into a single central server, PPML techniques rely on tools such as:

  • Federated learning, where models train locally on devices or institutions
  • Differential privacy, which introduces statistical noise to prevent individual identification
  • Advanced cryptographic methods, enabling computation on encrypted data

The result? Algorithms that improve over time while personal data never leaves its source.

Hospitals can collaborate on disease prediction without sharing patient records. Banks can detect fraud patterns without revealing customer transactions. Even tech companies can refine recommendation systems without harvesting user behavior in invasive ways.

“It changes the question,” Somani says. “Instead of asking how much data can we collect?, we ask how little do we actually need?

From Data Hoarding to Data Stewardship

This shift marks more than a technical upgrade — it signals a cultural change.

Neel Somani on How Privacy-Preserving AI Is Changing the Digital Landscape


Industries such as healthcare, finance, and social media are investing heavily in PPML frameworks, not just to meet regulatory standards but to rebuild trust with users.

For Somani, this evolution reflects a deeper transformation in how organizations view ownership and responsibility.

“Data stewardship is becoming a competitive advantage,” he notes. “Companies that respect privacy aren’t slowing innovation — they’re making it sustainable.”

Why This Matters for the Future of AI

As artificial intelligence becomes embedded in everything from hiring decisions to medical diagnoses, the consequences of misuse grow more severe. Bias, leaks, and surveillance concerns threaten to stall progress entirely.

Privacy-preserving machine learning offers a way forward — one where intelligence scales without eroding human dignity.

“This isn’t just about compliance,” Somani says. “It’s about designing systems that people can actually trust.”

In an era defined by data anxiety and algorithmic power, that trust may be AI’s most valuable currency.

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How to Free Up iCloud Storage Without Losing Your Data: A Complete Step-by-Step Guide

Running out of iCloud space? Here’s how to clean storage safely, manage backups, delete large files, and organise your Apple cloud data without risking important photos or documents.

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How to Free Up iCloud Storage Without Losing Data: Complete Step-by-Step Guide
A step-by-step guide to clearing and organising iCloud storage without losing your photos, backups, or important files.

If you’ve ever seen the alert “Your iCloud storage is full”, you know how disruptive it can be. Backups stop working, new photos fail to upload, and apps that depend on iCloud—like Messages, Drive, or Mail—slow down or stop syncing.

With Apple offering only 5GB of free iCloud space, most users hit the limit sooner than expected. The good news: you can free up space, organise your iCloud, and protect your important data by following simple steps.

This guide breaks down exactly how iCloud storage works and how to manage it safely across iPhone, iPad, Mac, and Vision Pro.


iCloud Storage vs Device Storage: Know the Difference

Before clearing space, it’s important to understand what you’re deleting.

Device Storage

  • Located physically on your iPhone, iPad, or Mac
  • Holds apps, downloaded media, system files

iCloud Storage

  • Hosted online under your Apple ID
  • Syncs photos, messages, backups, documents, and app data across devices

Important:

Deleting from your device does not clear iCloud space — and deleting from iCloud does not free device space.
Understanding this prevents accidental data loss.

How to Free Up iCloud Storage Without Losing Data: Complete Step-by-Step Guide

How to Free Up iCloud Storage

Apple now offers a “Recommended for You” cleanup tool (iOS/iPadOS 17+), which identifies files you can safely remove.

How to access it:

  1. Go to Settings > your name > iCloud
  2. Tap Recommended for You
  3. Review suggestions (large files, duplicate photos, unused backups)
  4. Delete items you don’t need

If something isn’t listed, you can still delete it manually.


1. Reduce Your iCloud Backup Size

iCloud backups often consume the most space—especially if apps you no longer use are included.

Choose which apps to back up:

  1. Settings > your name > iCloud
  2. Tap Manage Account Storage or Storage > Backups
  3. Select your device
  4. Toggle off apps you don’t want included in backups

Delete old backups:

  1. Open the backup
  2. Tap Turn Off & Delete

Keep in mind: deleting a backup disables future backups for that device unless re-enabled.


2. Delete Photos and Videos (The Biggest Space Hog)

iCloud Photos syncs your entire library across devices — and eats up storage fast.

On iPhone/iPad/Vision Pro:

  • Select and delete unwanted photos
  • Empty Recently Deleted to free space immediately

On Mac/iCloud.com:

  • Delete photos directly from the Photos app or browser

In iCloud Drive:

  • Use the Files app (iPhone/iPad) or Finder (Mac)
  • Delete large documents or folders
  • They remain in Recently Deleted for 30 days

3. Clean Up Files, Messages, and Mail

iCloud Drive:

  • Delete old PDFs, downloads, duplicate documents
  • Check Recently Deleted

Messages in iCloud:

  • Delete large attachments
  • Clear full conversations
  • Remove videos, photos, stickers and audio files

iCloud Mail:

  • Delete emails, especially promotions
  • Use the Mail Cleanup tool (if available)

4. Remove Contact Posters and Images

Contact posters introduced in iOS 17 take up surprising amounts of iCloud storage.

To delete them:

Settings > iCloud > Storage > Contact Images
Remove unnecessary visuals.


How to Free Up iCloud Storage Without Losing Data: Complete Step-by-Step Guide


5. When to Upgrade to iCloud+

If your photo library, backups, and files exceed what cleanup alone can handle, upgrading may be more practical.

iCloud+ plans offer:

  • More storage (50GB / 200GB / 2TB / 6TB / 12TB)
  • Private Relay
  • Hide My Email
  • Expanded HomeKit support

How to upgrade:

Settings > your name > iCloud > Manage Storage > Upgrade

For many users, even the 50GB plan solves most issues.


Final Thoughts

iCloud is deeply integrated into how Apple devices store and sync important information. Running out of space doesn’t mean you have to lose data — it just means you need to manage what stays in the cloud and what doesn’t.

By reviewing backups, deleting unnecessary files, and understanding what iCloud really stores, you can keep your digital life organised without fear of losing memories or essential documents.

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