Podcast Summary: This Week in Tech 1016: Marc or Marx?

Release Date: January 27, 2025

Hosts and Panelists:

• Leo Laporte (Host)
• Ed Bott (Senior Contributing Editor at ZDNet)
• Owen Thomas (Managing Editor of the San Francisco Business Times)
• Sam Aboul Samid (VP Market Research at Telemetry Insights and Podcast Host of "Wheel Bearings")

1. Microsoft 365 Copilot Launch: A Total Disaster

The episode opens with a critical discussion about Microsoft's recent launch of Copilot in Microsoft 365, which Ed Bott describes as “a total disaster.”

• Pricing Hike and Lack of Communication:
  • Ed Bott [05:07]: "The first thing they did was they jacked your price up 30 to 45% with no notice."
  • Leo Laporte [08:05]: "But does anybody want AI? Or am I?"

Microsoft raised the subscription price for Microsoft 365 by 30-45% to incorporate AI features without adequately informing users about the changes.

• User Backlash:
  • Ed Bott [08:55]: "I cannot find a single person who is happy about this."

Users expressed significant dissatisfaction across forums and social media, citing unexpected price increases and intrusive AI features that couldn't be easily disabled.

• Microsoft’s Response:
  • Microsoft introduced a “Microsoft 365 Classic” version at the old price, but only by attempting to cancel the current subscription.
  • Ed Bott [10:38]: "They created a Microsoft 365 Classic version which is the thing you had until yesterday at the price that you were paying until yesterday."

2. Chinese AI Startup DeepSeek R1: Innovation Under Constraints

Discussion shifts to DeepSeek R1, a Chinese AI startup that has achieved impressive results with significantly lower training costs.

• Efficient AI Development:
  • Leo Laporte [24:54]: "DeepSeek has proven there's another way to win by revamping the foundational structure of AI models and using limited resources more efficiently."

DeepSeek R1 utilizes innovative techniques like Multi Head, Latent Attention (MLA), and Mixture of Experts to reduce computational demands, requiring only a tenth of the computing power compared to Meta's Llama 3.

• Impact of US-China Tech Cold War:
  • Owen Thomas [25:48]: "Is that just forcing China's AI sector to get smarter than us?"
  • Leo Laporte [25:27]: "It might have undermined the US's policy to keep these chips out of Chinese hands."

US export controls have inadvertently pushed Chinese firms like DeepSeek to focus on software-driven optimizations rather than sheer hardware scaling, showcasing adaptability and creativity under restrictions.

3. Samsung Galaxy S25 Announcement

The panel briefly touches upon Samsung's release of the Galaxy S25, available in vibrant colors such as coral red, blue, black, and titanium jade green.

• Color Availability:
  • Sam Aboul Samid [23:34]: "There are four additional colors available in stores: navy, mint, icy blue, and silver shadow."

Despite the buzz, many color names were leaked weeks prior, diminishing the excitement around the official announcement.

4. Elon Musk, Tesla Sales, and Twitter/X

A significant portion of the discussion revolves around Elon Musk's ventures, including Tesla's fluctuating sales and the financial struggles of his social media platform, X (formerly Twitter).

• Tesla Sales Decline:
  • Sam Aboul Samid [38:33]: "They were down by about 4 or 5% globally last year, but up by 6.7% in the U.S."

Tesla experienced a global sales decline but saw an increase in the US market, partly due to the introduction of the Cybertruck.

• Financial Issues at X (Twitter):
  • Leo Laporte [50:50]: "The Wall Street Journal reported that X is barely breaking even, struggling."
  • Sam Aboul Samid [52:19]: "Tesla shares have skyrocketed, and Elon's personal share of Tesla has gone up by something like $100 or $150 billion."

X is facing financial stress, with banks preparing to sell billions in loans at reduced prices. However, these loans are secured by Tesla stock, mitigating some risk.

• Trump Coin and Crypto Community Reaction:
  • Leo Laporte [81:08]: "Trump created a meme coin, which divided the crypto industry."
  • Owen Thomas [82:37]: "The majority of people who bought Trump were likely inexperienced retail investors."

Trump's launch of a meme coin garnered over $58 million in fees within a day, leading to skepticism and calls for greater regulation within the crypto community.

5. Data Centers, Meta’s AI Investments, and Energy Consumption

The panel discusses Meta’s ambitious AI project, Stargate, aiming to create Artificial General Intelligence (AGI) with a $500 billion investment over four years.

• Innovative AI Infrastructure:
  • Leo Laporte [25:48]: "Meta is building a 2 gigawatt plus data center so large it would cover a significant portion of Manhattan."

Meta is investing heavily in data center infrastructure powered primarily by natural gas, raising environmental concerns.

• Energy Consumption and Environmental Impact:
  • Sam Aboul Samid [29:31]: "Matrix math optimized processors are way more efficient at doing the kinds of calculations you need to do to do AI with much less power consumption."

The use of advanced, energy-efficient processors is highlighted as a way to mitigate the massive power demands of AI training.

6. Cryptocurrency Regulation and Trump’s Involvement

The conversation delves deeper into the regulatory landscape of cryptocurrency, particularly focusing on the distinction between NFTs and meme coins.

• Regulatory Classification:
  • Sam Aboul Samid [87:17]: "NFTs are collectibles, while Trump meme coins are fungible and don't fit the collectible category."

The panel discusses the implications of classifying meme coins as collectibles versus securities, with potential tax ramifications.

• Executive Oversight:
  • Ed Bott [78:39]: "There's a really funny thing about that distinction though... but if you look at tax laws, the capital gains taxes in the United States, the long-term capital gains rates for collectibles are much higher than they are for securities."

This classification could influence how these assets are taxed and regulated, with significant financial implications for holders and creators.

7. TikTok’s Availability and Alternatives

Leo Laporte expresses his support for TikTok while highlighting its recent removal from major app stores, leading to a surge in demand for locked devices.

• TikTok’s App Store Ban:
  • Leo Laporte [72:57]: "You can't get the app anymore from the Google Play store or the iOS store."

Users are creating a secondary market for iPhones pre-installed with TikTok, selling for exorbitant prices on platforms like eBay.

8. San Francisco’s Historical Opposition to Arcades and Modern Tech Shifts

Owen Thomas shares a story about San Francisco's 1982 ban on arcade machines, drawing parallels to current technological resistance in communities.

• Historical Context:
  • Owen Thomas [139:06]: "When San Francisco fought Pac Man, did you know the city declared war on video games?"

This historical anecdote serves as a metaphor for contemporary resistance to emerging technologies, emphasizing the cyclical nature of innovation acceptance.

9. Eventbrite and Female Entrepreneurship

The panel highlights Julia Hartz, co-founder of Eventbrite, emphasizing her role as a successful female entrepreneur in the tech industry.

• Entrepreneurial Success:
  • Owen Thomas [132:14]: "Julia Hartz took the company public and was the second youngest woman to do so at the time."

Eventbrite continues to thrive by catering to event planners and creators, maintaining its headquarters in San Francisco to leverage the local innovation ecosystem.

10. AI’s Impact on Jobs and Programming

A deep dive into the potential consequences of AI on the workforce, particularly in software development.

• AI in Coding:
  • Leo Laporte [120:32]: "I think AI is completely capable of doing that. I think an AI coding engineer is not too far off."

The panel debates whether AI can effectively take over coding tasks and the implications for human programmers, including the loss of institutional knowledge and the ability to troubleshoot complex systems.

• Economic Incentives and Job Displacement:
  • Ed Bott [121:03]: "The economic incentives that are driving most of the AI research today are about eliminating human labor cost."

They discuss Marc Andreessen’s optimistic view that AI will reduce job costs and possibly lead to universal basic income, contrasting it with concerns about job displacement and economic inequality.

11. Conclusion and Show Details

The episode wraps up with promotions for the TWiT network's various platforms and sponsorships, including a detailed advertisement for Zscaler and a VPN service. The hosts share personal anecdotes and express gratitude towards their panelists and listeners, highlighting the importance of community and adaptability in the rapidly evolving tech landscape.

Notable Quotes:

• Ed Bott [05:07]: "The first thing they did was they jacked your price up 30 to 45% with no notice."
• Leo Laporte [08:05]: "But does anybody want AI? Or am I?"
• Ed Bott [08:55]: "I cannot find a single person who is happy about this."
• Owen Thomas [12:09]: "If companies push through price increases, everyone pays more, costs go up, then they demand more wages. It feeds an inflationary cycle."
• Leo Laporte [24:54]: "DeepSeek has proven there's another way to win by revamping the foundational structure of AI models and using limited resources more efficiently."
• Ed Bott [38:33]: "They were down by about 4 or 5% globally last year, but up by 6.7% in the U.S."
• Leo Laporte [50:50]: "The Wall Street Journal reported that X is barely breaking even, struggling."
• Leo Laporte [83:38]: "Trump created a meme coin, which divided the crypto industry."
• Owen Thomas [132:14]: "Julia Hartz took the company public and was the second youngest woman to do so at the time."
• Leo Laporte [120:32]: "I think AI is completely capable of doing that. I think an AI coding engineer is not too far off."
• Ed Bott [121:03]: "The economic incentives that are driving most of the AI research today are about eliminating human labor cost."

This episode provides a comprehensive analysis of current technological challenges and innovations, including corporate missteps, groundbreaking AI developments, and the socio-economic impacts of emerging technologies. The panelists offer insightful perspectives on how these trends shape the future of technology and society.