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š° Meta Spending $27B for Cloud AI...
Siri Bug Delays Apple Smart Home Plans
Welcome back to BrainBuzz
Todayās Recipes:
š° Meta Spending $27B for Cloud AI...
š” AI Learns Human Feelings from Improv
š Siri Bug Delays Apple Smart Home Plans
Google Kills AI Health Advice Feature
AI Is Reshaping the Economy Says Altman
Robot Dogs Now Guard Data Centers
AI Tutorial of the Day
And Moreā¦.
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LATEST DEVELOPMENTS

Meta partners with Dutch AI cloud provider Nebius in a $27B deal to boost global AI infrastructure, expanding Nebiusā role and securing Metaās massive computing needs.
š Details
The Deal: Meta signs a $27 billion (āā¬23.5B) agreement with Nebius.
Capacity Delivery: $12B worth of AI computing capacity will roll out across multiple sites starting in 2027.
Additional Commitment: Meta may purchase up to $15B more in computing capacity.
Nebius Strategy: Surplus capacity will be sold to external clients; Meta gets the rest.
Company Background: Nebius, spun off from Yandex, is headquartered in Amsterdam.
Partnerships: Nebius already supplies AI infrastructure to Microsoft under a multi-billion-dollar contract.
Impact: Strengthens Nebiusā position as a leading AI cloud provider and deepens Metaās AI expansion.
š” Takeaway: Metaās $27B deal with Nebius signals the escalating demand for AI cloud power, positioning Nebius as a major global player and reinforcing Metaās heavy investment in AI infrastructure.

AI firms like Handshake are hiring improv actors to train models on authentic emotional expression, aiming to make AI more human-like in tone and empathy.
š Details
The Role: Improv actors are asked to portray emotions authentically to help AI learn human-like responses.
The Company: Handshake, a training data provider for OpenAI and others, posted the job listing.
Why Actors?: AI models struggle with emotional nuance; actors provide specialized data to fill gaps.
Industry Trend: Demand for niche training data has surged, with Handshake tripling its needs last summer.
Concerns: Professionals worry theyāre accelerating AIās ability to replace their own careers.
The Process: Actors collaborate via video prompts, improvising scenarios to teach AI tone and empathy.
š” Takeaway: AI companies are turning to human performers to bridge the emotional gap in machine learning, highlighting both the innovation and the anxiety around AI replacing creative jobs.

Appleās next-gen smart home devices face delays until September 2026 due to Siriās troubled upgrade, pushing back HomePods, smart displays, and AI-powered gadgets.
š Details
The Issue: Siriās development struggles are causing delays in Appleās smart home lineup.
Products Affected: New HomePod, HomePod Mini, indoor security cameras, and a tabletop robot.
Smart Hub: Apple planned a smart display to rival Amazon Echo Show, using AI + facial recognition.
Timeline: Originally set for spring 2026, now postponed to September alongside new iPhones.
Reason: Disconnect between Appleās hardware and software teams, with Siri lagging behind rivals.
Impact: Apple fans must wait, while pressure mounts on Appleās AI ecosystem to deliver.
š” Takeaway: Appleās smart home ambitions are stalled by Siriās shortcomings, highlighting the companyās urgent need to catch up in AI before its fall product wave.
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MORE AI & TECH UPDATES
Google has scrapped its experimental AI search feature, āWhat People Suggestā, which offered users crowdsourced health advice from strangers worldwideā¦
Morgan Stanley has issued a stark warning that a major artificial intelligence breakthrough is expected in 2026, and most companies are unprepared for its disruptive impactā¦
At the BlackRock Infrastructure Summit, OpenAI CEO Sam Altman openly acknowledged that artificial intelligence is reshaping the foundations of capitalism, particularly the relationship between capital and laborā¦
As the global AI boom drives unprecedented data center construction, operators are turning to robotic quadrupeds, commonly called ārobot dogsā, to secure and monitor these massive facilitiesā¦
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HOW TO AI
In a world increasingly driven by artificial intelligence, the idea of having a personalized AI assistant is no longer a futuristic fantasy.
Key Highlights:
Start with a Clear Purpose.
Leverage No-Code and Low-Code Platforms.
Focus on Iterative Development.
Prioritize Data Privacy.
Embrace the Power of Prompt Engineering.
Consider the Ethical Implications.
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