⚙️ Capitol Hill

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September 18, 2023

Good morning. Yesterday celebrates the 10th anniversary of Rockstar’s Grand Theft Auto 5 (GTA V), the biggest release in gaming history. It’s grossed over $8.33B in revenue and cost an estimated $265M to build, which, back in 2013, was the most expensive-to-produce game ever.

In today’s newsletter:

  • 🚪 Capitol Hill's Closed-Door AI Forum: Tech Giants Weigh In

  • 🌟 California's AI Transparency Crusade: New Bill Introduced

  • 🥙 Future of Food Service: Superorder's AI Investment

  • 🧬 Next-Gen Drug Development: Microsoft's EvoDiff

  • 🍎 Classroom AI: Rise in Teacher Adoption of Automation Tools

  • 🎨 MIT's Artistic Take on 3D Printing: Introducing Style2Fab

 NEWS

Behind Closed Doors: What Tech Giants are Saying About AI Regulation

Midjourney

The corridors of Capitol Hill echoed with buzzwords like "AI safety," "innovation," and "federal oversight" as Senate Majority Leader Chuck Schumer convened a high-profile, closed-door AI Insight Forum on the 13th. The exclusive event brought together an A-list of tech CEOs—Mark Zuckerberg (Meta), Sam Altman (OpenAI), Satya Nadella (Microsoft), Jensen Huang (Nvidia), Sundar Pichai (Google), and Elon Musk (X/Tesla/SpaceX)—to inform potential rulemaking in the burgeoning field of AI. The stakes couldn't be higher in a landscape where AI is shaping everything from economies to social paradigms.

Views presented at the private forum varied as much as the technology portfolios of the companies represented. Zuckerberg emphasized "safety and access" and urged Congress to engage deeply with AI. He even touted Meta’s efforts in open-sourcing its Llama 2 model. Meanwhile, Elon Musk didn't mince words. He advocated for a federal oversight agency for AI, claiming companies should not run AI products unchecked, essentially calling for a "referee" in AI development. OpenAI’s Sam Altman expressed optimism, stating that policymakers want "to do the right thing" and highlighted the government's drive to create urgent rules around the tech.

So, what does this all mean for the future of AI? The forum is a significant milestone, signaling both urgency and the readiness of major stakeholders to actively participate in shaping the AI landscape. However, the closed-door nature of the event and the diverging viewpoints shared underscore that the pathway to meaningful and balanced AI regulation is fraught with complexities. The conversations held may very well set the stage for the kinds of regulations we'll see. Still, they also underscore the challenges of creating rules that balance innovation with ethical concerns. It's a critical dialogue that invites more voices to legislate an ever-evolving, transformative technology.

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NEWS

Golden State's Golden Rules: California Aims to Tackle AI Ethics

Midjourney

California is setting the pace for technology regulation by casting its legislative eye on AI. Senator Scott Wiener has drafted an intriguing bill aimed squarely at the heart of AI transparency. The bill specifically targets "frontier" model systems, which are usually large language models like those used in advanced chatbots like ChatGPT, voice assistants, and automated decision-making systems. Any system that exceeds a certain computational power threshold will be required to meet new transparency standards. But that's not all; the bill also incorporates crucial security measures to ensure these potent technologies don't fall into the wrong hands, particularly foreign states.

Regulating AI isn't just about transparency and security, though. The bill takes a comprehensive approach to oversight by proposing the establishment of an independent state research center on AI. Unlike existing AI research units that function under the umbrella of Big Tech, this state-backed entity will offer an impartial ground for critical research. Moreover, AI labs will be mandated to rigorously test their models for safety risks and promptly report their findings to state authorities. This could mark a significant turning point in holding AI companies accountable and ensuring that technologies conform to safety and ethical norms.

As the federal government inches forward with caution, states have been more agile in their approach to technology regulation. California, home to Silicon Valley and numerous tech giants has already laid down extensive laws affecting the tech industry, including online safety rules for children and right-to-repair laws. As of July 2023, 25 states, along with Puerto Rico and the District of Columbia, have introduced AI bills, indicating a broader legislative trend that's picking up speed.

Looking Forward

While the bill is currently classified as an "intent bill," requiring further refinement before passing, its very existence kickstarts a much-needed conversation about AI regulation. This could be the precursor to a new era where AI technologies are not just innovative but also transparent and secure. Keep an eye out: The Golden State is paving the way, and the rest of the world might just follow suit.

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🥙 The Future of Dining is Digital: Superorder’s $10M Bet on AI

Superorder, a tech platform that aims to revolutionize the restaurant industry's online presence, recently secured $10 million in funding. Founded by Raghav Poddar, Superorder uses generative AI to create realistic food photos and compelling menus, allowing restaurants to optimize their "off-premise" dining experiences. Despite challenges and concerns around AI's potential inaccuracies, Poddar believes the technology is crucial for modern restaurants. The platform streamlines various digital managerial tasks, promising a more efficient and profitable dining experience. The funding will be used to expand Superorder's operations and to refine its AI-driven tools.

🧬 Microsoft Unveils EvoDiff: AI-Powered Protein Engineering

Microsoft has introduced EvoDiff, an AI-driven framework designed to streamline the laborious process of protein design. EvoDiff allows for the rapid generation of high-fidelity protein sequences by bypassing the need for detailed structural information. This innovation can potentially accelerate drug development and create new therapeutics more efficiently. EvoDiff offers a quicker and less resource-intensive approach to protein engineering for the pharmaceutical and chemical industries.

🏫 The Rise of AI in Education: Quizlet Poll Gives Insight into Teacher Adoption Rates

Generative AI tools like MagicSchool are becoming increasingly popular among educators for crafting lesson plans and personalized learning materials. A recent poll by Quizlet involving both students and teachers found that more teachers are using these AI tools than students, supporting the rising trend. Regardless of it’s potential to generated biased or flawed content, many educators have used MagicSchool to outline a year's worth of lesson plans, and find value in the time and effort saved.

🖨️ MIT's AI Revolution: Simplifying Custom 3D Printing

MIT researchers have developed Style2Fab, an AI-driven tool that simplifies the process of personalizing 3D-printable models without compromising their functionality. The generative AI tool uses deep-learning algorithms to partition a 3D model into aesthetic and functional segments. Users can describe their design preferences through natural language prompts, and the AI adjusts the aesthetic elements accordingly while leaving the functional aspects untouched. This tool makes 3D printing more accessible to novice makers and could have applications in the medical field for customizing assistive devices.

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