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👤 Gary Marcus Person

18 articles First seen: Dec 25, 2025 Last seen: 2w ago
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Articles (18)
How Will AI Models Make Money?
The article argues that there is no single “AI model industry” or universal path to profitability. Although technology companies are projected to spend more than $1 trillion on AI in 2025–2026, their
What Policymakers and the Public Need to Know About the Cult of AI
The essay argues that belief in artificial general or superintelligence has evolved from fringe speculation into a powerful ideology shaping technology policy, investment, and politics. It criticizes
Human Extinction and the AI Psychosis Factory - Perilous Tech
The article argues that claims of imminent human extinction from AI are exaggerated and driven more by hype than evidence. It centers on Jacob Coxon, a former Anthropic and OpenAI employee whose viral
Gary Marcus (@garymarcus)
The post argues that most current AI systems do not pose an extinction-level threat or even a large-scale cybercrime risk. Instead, the main concern is general-purpose AI agents connected to the inter
Four Questions About AGI | Roberto Pieraccini | 54 comments
The post argues that “AGI” is an unclear and overused term that different leading AI figures use to mean different things. It opens by noting that Sam Altman, Greg Brockman, and Jensen Huang all speak
https://garymarcus.substack.com/p/open-source-is-not-the-same-as-open?r=2fj9s&triedRedirect=true
Gary Marcus argues that The New York Times incorrectly treated Meta’s newly released AI model as “open-source” when it is actually only “open-weight.” He explains that open-source software is fully tr
Is AI Reasoning Right for the Wrong Reasons? | Quanta Magazine
The article examines the growing but unsettled debate over whether AI systems, especially “large reasoning models” (LRMs), truly reason or merely appear to do so. Recent years have produced striking s
https://garymarcus.substack.com/p/china-has-all-but-caught-up-the-us?r=2fj9s&triedRedirect=true
The article argues that the United States is no longer likely to “win” the AI race against China, especially as Chinese firms such as Moonshot.AI, Z.ai, and Alibaba release frontier models that rival
https://www.linkedin.com/posts/terry-bollinger-8a976_judea-pearl-says-no-amount-of-scaling-llms-activity-7432402151794126848-ZSvE
AI Expert Predicted AI Would End Humanity in 2027—Now He’s Changing His Timeline
AI expert Daniel Kokotajlo, a former employee at OpenAI, initially predicted that unchecked AI development would lead to humanity's demise by April 2027. This forecast was outlined in a 2025 document
While Altman Sells the Dream, Here’s What the Data Actually Shows
The article critiques Sam Altman's optimistic vision for AI, arguing that leading researchers believe current language model architectures have reached their limits, resulting in diminishing returns.
Experts warn of threat to democracy from ‘AI bot swarms’ infesting social media | AI (artificial intelligence) | The Guardian
Experts, including AI researchers and activists, warn that the emergence of "AI bot swarms" poses a significant threat to democracy, particularly in the context of social media manipulation. A recent
https://www.linkedin.com/posts/vdignum_agenticai-responsibleai-aigovernance-activity-7421188236061990912-6PHh?utm_source=share&utm_medium=member_ios&rcm=ACoAAAfsct4BVBNkOVI5cyYn-UOIIe2RSRhT-cI
https://www.linkedin.com/posts/jonas-r-kunst_how-malicious-ai-swarms-can-threaten-democracy-activity-7420178992038809601-BG_S?utm_source=share&utm_medium=member_ios&rcm=ACoAAAfsct4BVBNkOVI5cyYn-UOIIe2RSRhT-cI
Why Didn’t AI “Join the Workforce” in 2025? - Cal Newport
In 2025, bold predictions about AI agents joining the workforce, as stated by Sam Altman and others, failed to materialize. Despite initial optimism and advancements in AI capabilities, such as those
LMArena is a cancer on AI
The article critiques LMArena, an online leaderboard for AI models, arguing that it prioritizes superficial appeal over factual accuracy. Users often vote based on presentation rather than correctness
https://www.linkedin.com/posts/mahault-albarracin-ph-d-1742bb153_lessons-from-neuroscience-for-ai-how-integrating-activity-7412890645733949440-KfJQ?utm_source=share&utm_medium=member_ios&rcm=ACoAAAfsct4BVBNkOVI5cyYn-UOIIe2RSRhT-cI
How social media encourages the worst of AI boosterism
The recent interaction on social media between AI researchers highlights the pitfalls of AI hype and miscommunication. Demis Hassabis, CEO of Google DeepMind, publicly criticized Sébastien Bubeck from
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