AI Frontiers

In March 2024, I opened Facebook and saw Jensen Huang's face. The Nvidia CEO was offering investment advice, speaking directly to me in Mandarin. Of course, it was not really Huang. It was an AI-generated scam, and I was far from the first to be targeted: across Taiwan, a flood of scams was defrauding millions of citizens. We faced a dilemma. Taiwan has the freest internet in Asia; any content regulation is unacceptable. Yet AI was being used to weaponize that freedom against the citizenry. Our response — and its success — demonstrates something fundamental about how AI alignment must work. We did not ask experts to solve it. We did not let a handful of researchers decide what counted as “fraud.” Instead, we sent 200,000 random text messages asking citizens: what should we do together? Four hundred forty-seven everyday Taiwanese — mirroring our entire population by age, education, region, occupation — deliberated in groups of 10. They were not seeking perfect agreement but uncommon ground — ideas that people with different views could still find reasonable. Within months, we had unanimous parliamentary support for new laws. By 2025, the scam ads were gone. This is what I call [...] ---Outline:(01:44) AI Alignment Today Is Fundamentally Flawed(03:45) The Stakes Are High(07:42) Attentiveness in Practice(09:21) Industry Norms(10:36) Market Design(11:59) Community-Scale Assistants(13:10) From 1% pilots to 99% adoption(14:24) Attentiveness Works(16:44) Discussion about this post --- First published: November 3rd, 2025 Source: https://aifrontiersmedia.substack.com/p/ai-alignment-cannot-be-top-down --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

Adam Khoja is a co-author of the recent study, “A Definition of AGI.” The opinions expressed in this article are his own and do not necessarily represent those of the study's other authors. Laura Hiscott is a core contributor at AI Frontiers and collaborated on the development and writing of this article. ‍Dan Hendrycks, lead author of “A Definition of AGI,” provided substantial input throughout this article's drafting. ---- In a recent interview on the “Dwarkesh Podcast,” OpenAI co-founder Andrej Karpathy claimed that artificial general intelligence (AGI) is around a decade away, expressing doubt about “over-predictions in the industry.” Coming amid growing discussion of an “AI bubble,” Karpathy's comment throws cold water on some of the more bullish predictions from leading tech figures. Yet those figures don’t seem to be reconsidering their positions. Following Anthropic CEO Dario Amodei's prediction last year that we might have “a country of geniuses [...] ---Outline:(03:50) Missing Capabilities and the Path to Solving Them(05:13) Visual Processing(07:38) On-the-Spot Reasoning(10:15) Auditory Processing(11:09) Speed(12:04) Working Memory(13:16) Long-Term Memory Retrieval (Hallucinations)(14:24) Long-Term Memory Storage (Continual Learning)(16:36) Conclusion(18:47) Discussion about this post--- First published: October 22nd, 2025 Source: https://aifrontiersmedia.substack.com/p/agis-last-bottlenecks --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

This is an excerpt from the authors’ new book, “Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship,” available for preorder now. ‍Imagine a digital proxy that knows your political preferences as well as you do (or better), tracks every issue on the ballot, and casts votes on your behalf in real time. This vision, once the stuff of science fiction, is quickly becoming technically feasible. Allowing AI to serve as our political proxies sounds radical, but the idea builds on a simple truth about our political system: representative democracy exists because we can’t all be in the room for every decision. The Limits of Representation Representative democracy requires elected officials to stand in for the collective preferences of their constituents. The most understandable reason for this is logistical: citizens don’t all have the time or ability to communicate our preferences directly, and we can’t all fit [...] ---Outline:(00:51) The Limits of Representation(03:44) AI Could Power a More Direct Democracy(07:22) Extending Rights to the Disenfranchised(09:07) Protecting the Integrity of AI-Powered Democracy(10:30) Good AI Representation Could Make Government More Equitable(13:36) The Risks of Overrelying on AI Representatives(15:07) AI Proxies Should Enhance Political Engagement(17:05) Discussion about this post--- First published: October 21st, 2025 Source: https://aifrontiersmedia.substack.com/p/ai-will-be-your-personal-political --- Narrated by TYPE III AUDIO.

This summer, the World AI Conference (WAIC) in Shanghai began to live up to its name. Previously an almost exclusively domestic event, this year's event attracted a larger group of international visitors to witness the would-be marvels of China's AI ecosystem. It also provided an opportunity to engage foreign counterparts for one of the newest elements of that ecosystem: the China AI Safety and Development Association (CnAISDA). Launched in February 2025 on the sidelines of the Paris AI Action Summit, CnAISDA places China among a small number of jurisdictions with dedicated AI safety institutes, or AISIs — although they increasingly go by other names. AISIs are government-backed institutions with a focus on AI risks, sometimes explicitly including catastrophic risk. Given the otherwise zygotic state of efforts to address potential catastrophic risks of frontier AI systems in China, CnAISDA is potentially a kernel of important things to come. But [...] ---Outline:(01:20) International Convergence?(04:00) An All-Star Team, with Limited Resources(07:07) China's Efforts to Lead on AI Diplomacy(11:04) The Road Ahead(12:44) Discussion about this post--- First published: October 14th, 2025 Source: https://aifrontiersmedia.substack.com/p/is-china-serious-about-ai-safety --- Narrated by TYPE III AUDIO.

Earlier this year, Dan Hendrycks, Eric Schmidt, and Alexandr Wang released “Superintelligence Strategy”, a paper addressing the national security implications of states racing to develop artificial superintelligence (ASI) — AI systems that vastly exceed human capabilities across nearly all cognitive tasks. The paper argued that no superpower would remain passive while a rival transformed an AI lead into an insurmountable geopolitical advantage. Instead, capable nations would likely threaten to preemptively sabotage any AI projects they perceived as imminent threats to their survival. But with the right set of stabilizing measures, this impulse toward sabotage could be redirected into a deterrence framework called Mutual Assured AI Malfunction (MAIM). Since its publication, “Superintelligence Strategy” has sparked extended debate. This essay will respond to several critiques of MAIM, while also providing context to readers who are new to the discussion. First, we’ll argue that creating ASI incentivizes state conflict and the tremendous [...] ---Outline:(01:30) Building Superintelligence Amplifies Tensions, and Could Be Considered an Act of War(10:05) MAIM's Proposals Increase Stability(16:52) MAIM Facilitates Redlines(20:28) Our Best Option(21:02) Discussion about this post--- First published: September 22nd, 2025 Source: https://aifrontiersmedia.substack.com/p/ai-deterrence-is-our-best-option --- Narrated by TYPE III AUDIO.

‍Two years ago, AI systems were still fumbling at basic reasoning. Today, they’re drafting legal briefs, solving advanced math problems, and diagnosing medical conditions at expert level. At this dizzying pace, it's difficult to imagine what the technology will be capable of just years from now, let alone decades. But in their new book, If Anyone Builds It, Everyone Dies, Eliezer Yudkowsky and Nate Soares — co-founder and president of the Machine Intelligence Research Institute (MIRI), respectively — argue that there's one easy call we can make: the default outcome of building superhuman AI is that we lose control of it, with consequences severe enough to threaten humanity's survival. Yet despite leading figures in the AI industry expressing concerns about extinction risks from AI, the companies they head up remain engaged in a high-stakes race to the bottom. The incentives are enormous, and the brakes are weak. Having studied [...] ---Outline:(01:14) Today's AI Systems Are Grown Like Organisms, Not Engineered Like Machines(03:43) You Don't Get What You Train For(08:23) AI's Favorite Things(09:27) Why We'd Lose(12:47) The Case for Hope(13:51) Discussion about this post--- First published: September 16th, 2025 Source: https://aifrontiersmedia.substack.com/p/summary-of-if-anyone-builds-it-everyone --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

‍AI agents are no longer a futuristic concept. They’re increasingly being embedded in the systems we rely on every day. These aren’t just new software features. They are independent digital actors, able to learn, adapt, and make decisions in ways we can’t always predict. Across the AI industry, a fierce race is underway to expand agents’ autonomous capabilities. Some can reset passwords, change permissions, or process transactions without a human ever touching the keyboard. Of course, hackers can also unleash AI agents to gain entry to, and wreak havoc within, those same sensitive systems. I see this transformation daily in my work at the forefront of cybersecurity, where AI agents are rapidly undermining our traditional approaches to safety. But the risk isn’t confined to what these agents can do inside corporate networks. Their activities threaten to ripple outward into society. Left unchecked, they could undermine trust-based systems that make [...] ---Outline:(02:02) How AI Agents Undermine Identity and Trust(07:49) The Infrastructure We Built for Trust(09:07) What We Can and Can't Do with the Tools We Have(12:20) The Future Is Here. Will We Govern It?--- First published: September 10th, 2025 Source: https://aifrontiersmedia.substack.com/p/cybersecurity-is-humanitys-firewall --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

OpenAI — once considered an oxymoron given its closed-source practices — recently released GPT-OSS, the company's first open language model in half a decade. The model fulfills an earlier pledge to again release “strong” open models that developers can freely modify and deploy. OpenAI approved GPT-OSS in part because the model sits behind the closed-source frontier, including its own GPT-5, which it released just two days later. Meanwhile, Meta — long a champion of frontier open models — has delayed the release of its largest open model, Llama Behemoth, and suggested it may keep its future “superintelligence” models behind paywalls. Meta, which once described open source AI as a way to “control our own destiny,” now cites “novel safety concerns” as a reason to withhold its most capable models. These decisions mark a dramatic pivot for both companies, and reveal how different AI firms are converging on an [...] ---Outline:(02:02) Uncertainty Is Driving Precautionary Policy(04:37) Precaution Disproportionately Chills Open Source(06:48) Restrictions Demand Confident Evidence(09:03) Precaution May Lead to Digital Feudalism(12:54) We Need to Learn to Live with Uncertainty(15:24) We Should Promote, Not Deter, Openness at the Frontier--- First published: September 2nd, 2025 Source: https://aifrontiersmedia.substack.com/p/frontier-ai-should-be-open-source --- Narrated by TYPE III AUDIO.

OpenAI's GPT-5 launched in early August, after extensive internal testing. But another OpenAI model — one with math skills advanced enough to achieve “gold medal-level performance” on the world's most prestigious math competition — will not be released for months. This isn’t unusual. Increasingly, AI systems with capabilities considerably ahead of what the public can access remain hidden inside corporate labs. This hidden frontier represents America's greatest technological advantage — and a serious, overlooked vulnerability. These internal models are the first to develop dual-use capabilities in areas like cyberoffense and bioweapon design. And they’re increasingly capable of performing the type of research-and-development tasks that go into building the next generation of AI systems — creating a recursive loop where any security failure could cascade through subsequent generations of technology. They’re the crown jewels that adversaries desperately want to steal. This makes their protection vital. Yet the dangers they may [...] ---Outline:(01:42) The Invisible Revolution(03:19) Two Converging Threats(08:02) The Accelerant: AI Building AI(10:21) Why Markets Won't Solve This(12:23) The Role of Government(16:41) Reframing the Race: A Security-First Approach--- First published: August 28th, 2025 Source: https://aifrontiersmedia.substack.com/p/the-hidden-ai-frontier --- Narrated by TYPE III AUDIO.

The race is on for AGI. Tech companies are in a global race to develop artificial general intelligence (AGI): autonomous systems that perform most tasks as well as a human expert. In early 2024, Meta CEO Mark Zuckerberg declared that Meta is going to build AGI and “open source” it. He is walking his talk. Meta has invested billions of dollars in the highest-power computational elements needed to build giant AI systems, and it has openly released its most powerful AI models. In early 2025, representatives of the Chinese company DeepSeek tweeted their intention to build and openly release AGI. US companies (including OpenAI, Google DeepMind, and Anthropic) are also trying to build AGI. While these companies have not pledged to open-source such a system, recent months have seen a marked shift among U.S. policymakers and AI developers toward support for open-source AI. In July, the White House AI [...] ---Outline:(02:06) What Is AGI?(05:22) Widespread Proliferation with No Guardrails(09:10) The Dire Implications of Unleashing AGI(13:50) The Replacement of Humanity(17:49) Changing Course: Don't Build Uncontrollable AI--- First published: August 19th, 2025 Source: https://aifrontiersmedia.substack.com/p/uncontained-agi-would-replace-humanity --- Narrated by TYPE III AUDIO.

In an age of heightened political division, countering China's efforts to dominate AI has emerged as a rare point of alignment between US Democratic and Republican policymakers. While the two parties have approached the issue in different ways, they generally agree that the AI “arms race” is comparable to the US-Soviet strategic competition during the Cold War, which encompassed not just nuclear weapons but also global security, geopolitical influence, and ideological supremacy. There is, however, no modern deterrence mechanism comparable to the doctrine of Mutually Assured Destruction (MAD), which prevented nuclear war between the US and Soviet Union for four decades — and which is arguably the reason no other nation has used nuclear weapons since. The bridge from MAD to MAIM. Earlier this year, co-authors Dan Hendrycks, Eric Schmidt, and Alexandr Wang proposed a framework called Mutual Assured AI Malfunction (MAIM), hoping to fill that dangerous strategic vacuum. [...] ---Outline:(02:40) The Logic of MAIM(07:11) The Observability Problem Is Bigger Than MAIM's Authors Acknowledge(10:29) Challenge One: Using Appropriate Proxies for AI Progress(13:34) Challenge Two: Observation Must Keep Up With Rapid Progress(16:41) Challenge Three: Superintelligence Development Will Likely Be Widely Decentralized(19:31) Challenge Four: Intelligence Activities Themselves Could Lead to Escalation(21:45) MAIM Started the Conversation on Superintelligence Deterrence, but More Dialogue Is Needed--- First published: August 14th, 2025 Source: https://aifrontiersmedia.substack.com/p/why-maim-falls-short-for-superintelligence --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

Can we head off AI monopolies before they harden? As AI models become commoditized, incumbent Big Tech platforms are racing to rebuild their moats at the application layer, around context: the sticky user- and project-level data that makes AI applications genuinely useful. With the right context-aware AI applications, each additional user-chatbot conversation, file upload, or coding interaction improves results; better results attract more users; and more users mean more data. This context flywheel - a rich, structured user- and project-data layer - can drive up switching costs, creating a lock-in effect that effectively traps accumulated data within the platform. ‍Protocols prevent lock-in. We argue that open protocols - exemplified by Anthropic's Model Context Protocol (MCP) - serve as a powerful rulebook, helping to keep API-exposed context fluid and to prevent Big Tech from using data lock-in to extend their monopoly power. However, as an API wrapper, MCP can access [...] ---Outline:(02:33) From Commoditized Models to Context-Rich Applications(07:46) How User Context Is Powering a New Era of Tech Monopolies - and Competition(10:22) Can Protocols Create a Level Playing Field?(12:38) MCP's Impact on the AI Market So Far(14:16) MCP vs. Walled Gardens: The API Gatekeeping Problem(16:06) To Save AI from Enshittification, Support Protocol-Level Interventions--- First published: July 30th, 2025 Source: https://aifrontiersmedia.substack.com/p/open-protocols-can-prevent-ai-monopolies --- Narrated by TYPE III AUDIO.

This post was cross-published on the author's Substack, Threading the Needle. Increasingly, the US-China AI race is taking center stage. To win this race, Washington and Beijing are rethinking a range of policies, from export controls and military procurement priorities to copyright and liability rules. This activity, under the vague banner of race victories, conceals a deeper lack of clarity on strategic objectives. The Trump administration's AI Action Plan provides yet another entry on what the US strategy might look like — but it shouldn’t be mistaken for an indication of strategic clarity, as US factions are still vying for dominance from decision to decision. All in all, Chinese and US AI strategies are both still nascent. This raises important questions: What will each country decide that “winning the AI race” means? And where does that leave the rest of the world? The obvious answer to the first question [...] ---Outline:(02:20) Open Questions on Grand Strategy(02:43) 1. Military victory(03:53) 2. Economic victory(05:25) 3. A hybrid approach(07:16) Technical Determiners(07:32) 1. Military usefulness(08:26) 2. Frontier capability gap(10:10) 3. Compute supply trends(12:10) What About Everyone Else?(13:25) 1. Securitized world(14:36) 2. Mercantilist world(16:01) 3. World of clashing doctrines(17:31) Outlook--- First published: July 23rd, 2025 Source: https://aifrontiersmedia.substack.com/p/in-the-race-for-ai-supremacy-can --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

Last week, the AI nonprofit METR published an in-depth study on human-AI collaboration that stunned experts. It found that software developers with access to AI tools took 19% longer to complete their tasks, despite believing they had finished 20% faster. The findings shed important light on our ability to predict how AI capabilities interact with human skills. Since 2020, we have been conducting similar studies on human-AI collaboration, but in contexts with much higher stakes than software development. Alarmingly, in these safety-critical settings, we found that access to AI tools can cause humans to perform much, much worse. A 19% slowdown in software development can eat into profits. Reduced performance in safety-critical settings can cost lives. Safety-Critical Scenarios Imagine that you’re aboard a passenger jet on its final approach into San Francisco. Everything seems ready for a smooth landing — until an AI-infused weather monitor misses a sudden microburst. [...] ---Outline:(01:04) Safety-Critical Scenarios(03:30) How Current Safety Frameworks Fail(05:43) AI Influences Humans to Perform Slightly Better... or Much, Much Worse(08:50) A Clear Pattern in Human-AI Collaboration(09:49) Three Rules for Better Evaluations(11:43) Faster, Easier, and Earlier Evaluations(13:48) Toward Responsible Deployments of AI--- First published: July 16th, 2025 Source: https://aifrontiersmedia.substack.com/p/how-ai-can-degrade-human-performance --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

The European Union just published the finalized Code of Practice for general-purpose AI models, transforming the AI Act's high-level requirements into concrete standards that will likely shift frontier AI companies' practices toward safer ones. Among the Code's three chapters (copyright, transparency, and safety & security), requirements outlined in the Safety and Security section mark particular advances in frontier AI safety. The chapter — drafted by chairs Yoshua Bengio, Marietje Schaake, and Matthias Samwald, along with six vice chairs — targets general-purpose models deemed to pose systemic risks, currently defined as those trained with more than 10^25 floating-point operations (FLOPs). The 10^25 threshold captures all of today's frontier models and can be adapted as the technology evolves. The Code emerged from an extensive consultation process with over a thousand stakeholders (from industry, academia, and civil society) providing feedback across multiple rounds. Companies have a powerful incentive to adopt the Code [...] ---Outline:(01:53) What Companies Must Do(02:37) Key Advances Beyond Current Practice(02:41) Risk Identification(03:47) Risk Analysis(05:13) Pre-commitment Through Risk Tiers(05:35) Transparency and External Validation(06:42) Cybersecurity and Incident Reporting(07:41) Gaps and Enforcement Challenges(10:03) Implications for Global AI Governance--- First published: July 12th, 2025 Source: https://aifrontiersmedia.substack.com/p/how-the-eus-code-of-practice-advances --- Narrated by TYPE III AUDIO.

For over half a decade, the United States has imposed significant semiconductor export controls on China, aiming to slow China's chip industry and to retain US leadership in the computing capabilities that undergird AI advances. Have these controls achieved their goals? Have the assumptions driving them been confirmed or undermined by the rapid evolution of the chip industry and AI capabilities? Three factors for assessing chip export controls. We can now draw preliminary conclusions by assessing three factors: China's domestic chipmaking capability, the sophistication of its AI models, and its market share in providing AI infrastructure. Initial evidence shows that controls have succeeded in several important ways, though not all. Restrictions on chipmaking tool sales have significantly slowed the growth of China's chipmaking capability. However, restrictions on the export of AI chips to China, while creating challenges, have not prevented Chinese labs from producing highly competitive models (though they [...] ---Outline:(01:30) The Current Chip Export Control Regime(04:25) The Impact on China's Chip Industry(09:10) The Impact on AI Model Development in China(13:28) The Impact on China's Ability to Provide AI Infrastructure(15:18) Implications for the Future of AI and US-China Relations(18:01) Export Controls Have Given the US a Commanding Lead in AI--- First published: July 8th, 2025 Source: https://aifrontiersmedia.substack.com/p/how-us-export-controls-have-and-havent --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

The views in this article are those of the authors alone and do not represent those of the Department of Defense, its components, or any part of the US government. ‍ In a recent interview, Demis Hassabis — co-founder and CEO of Google DeepMind, a leading AI lab — was asked if he worried about ending up like Robert Oppenheimer, the scientist who unleashed the atomic bomb and was later haunted by his creation. While Hassabis didn’t explicitly endorse the comparison, he responded by advocating for an international institution to govern AI, holding up the International Atomic Energy Agency (IAEA) as a guiding example. Hassabis isn’t alone in comparing AI and nuclear technology. Sam Altman and others at OpenAI have also argued that artificial intelligence is so impactful globally that it requires an international regulatory agency on the scale of the IAEA. Back in 2019, Bill Gates, for example [...] ---Outline:(01:57) How AI Differs from Nuclear Technology(02:31) AI is much more widely applicable than nuclear technology(04:18) AI is less excludable than nuclear technology(07:37) AI's strategic value is continuous, not binary(09:22) Nuclear Non-Proliferation is the Wrong Framework for AI Governance(11:44) Approaches to AI Governance that Are More Likely to Succeed--- First published: June 30th, 2025 Source: https://aifrontiersmedia.substack.com/p/nuclear-non-proliferation-is-the --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

Since May, Congress has been debating an unprecedented proposal: a 10-year moratorium that would eliminate virtually all state and local AI policies across the nation. This provision, tucked into the “One Big Beautiful Bill,” would prohibit states from enacting or enforcing “any law or regulation regulating artificial intelligence models, artificial intelligence systems, or automated decision systems” for the next decade. It's not clear what version of the moratorium, if any, will become law. The House sent the One Big Beautiful Bill to the Senate's Commerce Committee, where the moratorium has been subject to an ongoing debate and numerous revisions. The latest public Senate text — which could be voted on as early as Friday — ties the prohibition to the “Broadband Equity, Access, and Deployment” (BEAD) program, threatening to withhold billions of dollars in federal funds to expand broadband from states that choose to regulate AI. The provision's language [...] ---Outline:(02:09) The Moratorium's Leverage -- and Its Limits(03:27) The Patchwork Problem(05:02) How the Moratorium Undermines Federalism and Good Governance(07:18) Terminating Existing Laws(10:00) Broad Opposition(12:06) What Should Be Done Instead--- First published: June 26th, 2025 Source: https://aifrontiersmedia.substack.com/p/congress-might-block-states-from --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

Since 2020, there have been nearly 40 copyright lawsuits filed against AI companies in the US. In this intensifying battle over AI-generated content, creators, AI companies, and policymakers are each pushing competing narratives. These arguments, however, tend to get so impassioned that they obscure three crucial questions that should be addressed separately — yet they rarely are. First, how does existing copyright law apply to AI? Most existing statutes do not explicitly mention AI. Some legal experts, however, argue that courts can adapt traditional frameworks through judicial interpretation. Others contend that copyright's human-centered assumptions make such adaptation impossible. Second, where current law proves inadequate, how should the original purpose of copyright law guide new solutions? Copyright was conceived by the Founders to “promote the Progress of Science and useful Arts,” by providing creators with limited monopolies over their work. In the AI era, multiple stakeholders have legitimate claims: creators [...] ---Outline:(01:40) How Does Existing Copyright Law Apply to AI?(05:22) Should We Rethink Copyright in the Age of AI?(07:41) How Should Broader Implications Influence the AI Copyright Debate?(11:40) The Current State of AI Copyright Battles--- First published: June 19th, 2025 Source: https://aifrontiersmedia.substack.com/p/can-copyright-survive-ai --- Narrated by TYPE III AUDIO.

As AI's transformative potential and national security significance grow, so has the incentive for countries to develop AI capabilities that outcompete their adversaries. Leaders in both the US and Chinese governments have indicated that they see their countries in an arms race to harness the economic and strategic advantages of powerful AI. Yet as the benefits of AI come thick and fast, so might its risks. In a 2024 Science article, a broad coalition of experts from academia and industry raised the alarm about the serious threats that advanced AI may soon pose — such as AI misuse or loss of control events leading to large-scale cyber, nuclear, or biological calamities. Because these risks wouldn’t be constrained by geography, it is in everyone's interests to mitigate them, hence calls by scientists from multiple countries for international efforts to regulate AI. However, an international AI development deal will only succeed [...] ---Outline:(02:23) Assurance mechanisms for AI(05:23) Hardware-enabled mechanisms(08:12) Designing an Effective HEMs-Enabled Assurance Regime(08:45) Pre-emptive(09:46) Flexible(10:31) Privacy-preserving(11:44) Multilateral(12:36) Unlocking New Policy Options--- First published: June 16th, 2025 Source: https://aifrontiersmedia.substack.com/p/avoiding-an-ai-arms-race-with-assurance --- Narrated by TYPE III AUDIO.