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    • The open web is evolving into walled gardensTech giants are updating data policies to use user-generated content for AI models, raising privacy concerns and shifting the social web from public to private spaces, potentially replacing the open internet as we knew it.

      The open web is facing significant changes as tech giants like Google update their data policies to expand the use of user-generated content for training AI models. This raises new privacy concerns, as it's no longer just about who can see the information, but how it could be used. The social web is shifting from a public space to a more private and controlled one, with a focus on increasing revenue through ads and entertainment rather than growth and engagement. This trend, which includes recent changes to Reddit and Twitter's API policies, has implications beyond just which internet services people use. It's a reminder that the open Internet as we once knew it may be coming to an end, replaced by walled gardens and proprietary content. This is a significant development that warrants close attention as we navigate the evolving digital landscape.

    • The unraveling of the public web due to AI and platform controlAI's impact on user-generated content is causing a shift towards fewer commons and more silos on the web, with platforms trying to protect their data and users fighting for ownership and control.

      The rise of AI and the control of tech platforms over user-generated content is fundamentally changing the nature of the open web. Professor Ethan Malek's warnings about walled gardens and the potential disappearance of user-generated content have become a reality. The public web is unraveling, with sites struggling to maintain control over their platforms as they face an onslaught of AI-generated input. At the same time, these sites are trying to protect their data from being used by others. This shift has set up a battle between users and platforms over ownership and control of user-generated content and profits. The decline in venture capital funding, driven in part by the shift away from zero interest rate policies, is also impacting the startup ecosystem. The combination of these factors is leading to a move towards fewer commons and more silos in the online world.

    • AI continues to dominate funding in H1 2023, with $27.2 billion raised, accounting for 18% of total global funding.AI companies raised over $27 billion in H1 2023, IATSE prepares members for future impact, Tata Consultancy upskills engineers, and US military explores AI applications.

      We are witnessing a significant shift in the AI industry, with companies facing pressure to achieve profitability or face down rounds, while AI continued to secure a substantial portion of total funding. According to Crunchbase, AI companies raised $25 million more in the first half of 2023 than in the same period in 2022, accounting for almost 18% of total global funding. However, this statistic was influenced by a $10 billion investment in OpenAI. The International Alliance of Theatrical Stage Employees (IATSE), a union representing 160,000 professionals in the entertainment industry, has acknowledged the impact of AI and is working to prepare its members for the future. They emphasize the need for research, collaboration, education, political and legislative advocacy, organizing, and collective bargaining. IATSE also emphasizes the importance of upskilling and continuous education for its members. Tata Consultancy, one of the world's largest IT consultancies, is upskilling 25,000 engineers on Microsoft Azure's OpenAI, demonstrating how AI can level the playing field for highly skilled workers worldwide. Lastly, the US military is testing five large language models to explore how they can help military organizations access information, make predictions, and generate new options, reflecting a larger trend of increased AI adoption across various sectors.

    • Geopolitical tensions over AI: China curbs chip exports, US focuses on safety and alignmentBoth US and China are taking measures to control AI technology and resources, with China limiting chip exports and US prioritizing safety and alignment, while OpenAI forms a new team to ensure advanced AI aligns with human values.

      The geopolitical tensions between the US and China are escalating in the field of artificial intelligence (AI), with both sides implementing measures to control the flow of technology and resources. China has announced plans to curb exports of materials used in chip manufacturing, while the US is focusing on AI safety and preventing the misalignment of advanced AI systems with human values. OpenAI, a leading AI company, has recognized the urgency of this issue and has announced the formation of a new team, Superalignment, to address the alignment of advanced AI with human values and dedicate significant resources to this effort. The potential impact of superintelligent AI is immense, and the need for alignment is crucial to prevent any potential existential risks. The race to advance AI capabilities and ensure alignment is becoming increasingly tense, highlighting the geopolitical significance of AI in the global arena.

    • OpenAI acknowledges potential danger of superintelligent AIOpenAI is building an automated alignment researcher to prepare for the arrival of superintelligent AI, dedicating significant resources to ensure proper alignment and control.

      OpenAI, a leading company in artificial intelligence (AI) research, is openly acknowledging the potential danger and existential risk posed by superintelligent AI. They believe that superintelligence could arrive as soon as this decade, and current methods for aligning AI with human intent may not be sufficient for controlling a much smarter AI. To address this, OpenAI is building an automated alignment researcher to scale their efforts and iteratively align superintelligence. They plan to develop scalable training methods, validate the resulting model, and stress test their entire alignment pipeline. The company is dedicating a significant portion of their compute resources to this initiative, highlighting the seriousness of their approach. This open discussion about the potential risks and timeline for superintelligent AI is notable, as historically, companies have been hesitant to address these concerns publicly.

    • OpenAI's Focus on Superintelligence AlignmentOpenAI dedicates 20% of resources to superintelligence alignment, aiming to solve core challenges, with generally positive reactions from the community.

      OpenAI's decision to dedicate 20% of their computational resources and focus on superintelligence alignment within the next 4 years is a significant move that has received generally positive reactions from the AI community. This ambitious goal, which some consider a "moonshot," aims to solve the core challenges of superintelligence alignment. While some concerns have been raised about compensation disparities between alignment and capability researchers, OpenAI has clarified the salary ranges for both roles. The transparency around these goals and percentages is crucial, as it prevents the initiative from appearing as mere corporate philanthropy or PR. The community's overall sentiment is optimistic, with approximately two-thirds of respondents in a poll viewing it as a great or good play for reducing AI risks.

    • OpenAI's superalignment team sparks debate on AGI safetyOpenAI's new team aims to ensure AGI safety, but skeptics question their motivation and progress, while others see it as a serious effort and potential industry trend.

      OpenAI's announcement of a superalignment team for ensuring the safety and beneficial alignment of advanced artificial intelligence (AGI) has sparked both optimism and skepticism. TK Ranganathan argues that OpenAI may not be strongly motivated to avoid known downsides of the technology, and Rohit believes the announcement may be more of a regulatory checkbox than a meaningful change. However, many acknowledge the ambitious nature of the project and appreciate the clear statement of purpose. Prediction markets indicate a 62% chance of a significant breakthrough in alignment research by 2027, but only 26% believe the OpenAI team will achieve their goal within four years. The question remains what will happen if the team fails to make the desired progress. Nathan Young asks if OpenAI will stop developing AGI if the team is pessimistic in four years. Despite the uncertainty, the consensus seems to be that this is a serious effort, and it may influence other companies to follow suit.

    • Exploring the importance of ongoing conversation on AI regulation and ethicsThe conversation around AI regulation and ethics is ongoing, and it's essential to ask critical questions and encourage a broader effort to ensure responsible and ethical development and use of AI.

      While the recent developments in AI regulation may be seen as a positive step by some, there are valid concerns about the true intentions and capacity for progress. The conversation around AI regulation and ethics is ongoing, and it's essential to ask critical questions, such as whether a broader effort is needed and how we can encourage it. If you're interested in this topic, join the conversation by leaving a comment or finding me on Twitter. Let's work together to ensure that AI is developed and used in a responsible and ethical manner. It's important to remember that the conversation doesn't end here, and we all have a role to play in shaping the future of AI. So, if you enjoyed this discussion, please share it with someone who might be interested in the topic. Let's keep the conversation going!

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    Show notes

    Hemant Taneja’s book Unscaled: How AI and a New Generation of Upstarts are Creating the Economy of the Future (referral fees will be donated to charity)

    Hemant Taneja, managing director at General Catalyst

    Ronda Scott, marketing partner at General Catalyst

     

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    Bill Gates quote: “A platform is when the economic value of everybody that uses it, exceeds the value of the company that creates it. Then it’s a platform.” (4:35)

    Why monopolies were thought to be bad (5:20)

    Importance of innovation in the age of new monopolies (6:20)

    Flaws in applying the definition of monopolies in the physical world to ecommerce (7:55)

    Geographic constraints no longer apply (8:35)

    What should Facebook do to not be a monopoly? (9:35)

    What should Amazon to to not be a monopoly and create more value than they’re constraining? (10:35)

    When Bill Gates told Phil that Evernote wasn’t a platform (12:40)

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    The hindrances of GDPR on innovation (15:58)

    The U.S. government’s lack of an AI department (17:45)

    Balancing the security of the population with the risk of constraining innovation (18:10)

    Role of regulation when job security is threatened (19:01)

    Skill gap between what students are taught and what skills are needed (19:40)

    AI is projected to create more jobs than it eliminates (20:35)

    How should we draw lines between what is a company and what is a government? (20:51)

    What’s the full value of a job? (26:13)

     

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