Alessandro and Elias dive into the recent CrowdStrike outage that affected millions of Windows devices worldwide. They explore the implications of this event, questioning the current approach to endpoint security and the architecture of Windows operating systems.
Key topics covered:

The extent and impact of the CrowdStrike outage
Why Windows is still vulnerable to such issues after four decades
The potential of AI in preventing similar incidents
The debate between traditional endpoint security vs. cloud-based solutions
Why VDI (Virtual Desktop Infrastructure) hasn't become mainstream
The future of operating systems and security measures

This thought-provoking conversation challenges conventional wisdom about cybersecurity and proposes new perspectives on how we should approach device management and data protection in the modern era. Whether you're an IT professional, a business leader, or just interested in tech, this video offers valuable insights into the evolving landscape of digital security.

In this video, we explore the differences between GPT-3.5 and GPT-4, explaining why GPT-4 is a game changer. Learn about the significant upgrades in capabilities, the shift from free to enterprise versions, and the strategic decisions behind these changes. Hear a fascinating story about how GPT-4 helped locate a specific poem through nuanced prompts, showcasing its advanced understanding and application.

Discover:

- Why OpenAI made GPT-4 freely accessible
- The quantum leap in capabilities between models
- Real-world examples of GPT-4's astonishing abilities
- How AI is revolutionizing tasks like coding and writing
- The current limitations and future potential of large language models

In this episode of Reality Distortion Fields (RDFs) Podcast, @Perilli and @ekhnaser dive deep into the latest announcements from Apple, focusing on their new AI initiative branded as "Apple Intelligence." Is it a game-changer or just clever marketing? Our discussion covers:

► Initial Impressions: Something feels off with Apple's latest strategy.
► Apple Intelligence: Is partnering with other AI providers the best move for Apple?
► Siri's Shortcomings: Fourteen years of development with little to show.
► Reputational Risks: The potential damage to Apple's brand.
► Brokering AI: A viable long-term strategy for Apple?
► The WWDC Disconnect: Missing the mark on integrated ecosystems.
► Missed Opportunities: The potential in Apple's AI model versus actual performance.
► Nostalgia for Innovation: Remembering Apple's pioneering days.
► Reality Check: Apple Intelligence lacks original Apple innovation.
► A Disjointed Approach: Apple's tactical versus strategic use of AI.
► AI Assistants: How competitors are shaping the future.
► The Shift to Intent-Centric Worlds: Risks for Apple's traditional model.
► Brokering vs. Developing: Should Apple focus on in-house AI development?
and more...

Join us as we dissect these points and share our thoughts on whether Apple is still the leader in innovation or if they're falling behind in the AI race. Don't forget to like, comment, and subscribe for more tech insights!

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What happens when two industry veterans and former analysts meet and have a private chat about the marketing hyperboles and product overpromise of tech vendors? What do they say to each other? Welcome to Reality Distortion Fields (RDFs)!

The third episode of Reality Distortion Fields (RDFs) is all about a popular myth in the tech industry: Gartner is a pay-to-play firm. Elias ( @ekhnaser ) and Alessandro ( @Perilli ) bust it, hopefully, once and for all, answering all the burning questions:

- What really happened inside Gartner when they were analysts there?
- What do tough analysts really say to vendors?
- Is it true that analysts craft their research to be hired by vendors?
- Why should technology providers never fear falling off the Magic Quadrant?
- What's the difference between Gartner's approach to sponsored research and the approach of other firms? And which one is worse?

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What happens when two industry veterans and former analysts meet and have a private chat about the marketing hyperboles and product overpromise of tech vendors? What do they say to each other? Welcome to Reality Distortion Fields (RDFs)!

In the second episode of Reality Distortion Fields (RDFs), Elias ( @ekhnaser ) and Alessandro ( @Perilli ) ponder if the Metaverse is the ultimate reality distortion field. Some of the questions they try to answer:

- Why did Meta Workplace fail to deliver value and it's being shut down?
- Are modern collaboration suits stepping stones towards the Metaverse?
- Do we really need a Metaverse for VR and AR use cases?
- What's the true reason companies are selling the Metaverse to us?
- Is Ready Player One the only way we could build a Metaverse?
- Could generative AI accelerate the creation of a Metaverse?

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What happens when two industry veterans and former analysts meet and have a private chat about the marketing hyperboles and product overpromise of tech vendors? What do they say to each other? Welcome to Reality Distortion Fields (RDFs)!

What happens when two industry veterans and former analysts meet and have a private chat about the marketing hyperboles and product overpromise of tech vendors? What do they say to each other? Welcome to Reality Distortion Fields (RDFs)! In this first episode, Elias and Alessandro talk about:

- Humane AI Pin and MKBHD
- Rabbit R1
- what's the job of a reviewer/critic/analyst
- how companies grow reality distortion fields and if there's a way to avoid them
- tech vendors' responsibility towards customers and corporate incentives
- how they typically deal with failures, and the contrarian perspective of Peter Thiel
- if we really need yet another device
- what's the vision for an AI assistant compared to what vendors are selling today

and more.