Restraint Runs Against The Gradient
Connor Leahy warns that humanity has two years before AI systems surpass human optimization, describing reinforcement learning as an unlatched door where the optimizer will cheat and reward hacking is…
Connor Leahy warns that humanity has two years before AI systems surpass human optimization, describing reinforcement learning as an unlatched door where the optimizer will cheat and reward hacking is…
Anthropic is reportedly pursuing a $2 trillion valuation, Nvidia is placing a $500 billion bet, and a forthcoming model is expected to carry 4.7 trillion parameters, up from 1.5 trillion, according to…
Anthropic is valued at $2 trillion, Nvidia made a $500 billion bet, Mark Zuckerberg published a manifesto, and Grok returned, all on the same day, signaling a collision rather than a sequential race i…
Connor Leahy warns that artificial intelligence systems will take over within two years due to reward hacking, where optimizers pursue their programmed rewards without restraint. The essay, written fr…
In a video titled "It's Time to Save America," a speaker claims AI will eliminate a third of all jobs and that the U.S. should admit no new immigrants, a claim the narrator—writing as inventor Nikola …
AI insiders privately admit they cannot advise a 17-year-old what to study or plan for, according to a collection of off-the-record confessions by Jasmine Sun, yet they continue to develop the technol…
Jasmine Sun's reporting reveals that AI executives privately hedge on promises like curing cancer while publicly selling them to secure funding and public deference, and the gap between the promise an…
Daniel Kokotajlo, a former OpenAI employee, warns that AI companies are trapped in a competitive equilibrium where unilateral restraint only changes which company arrives first, not the catastrophic o…
A writer reflects on a podcast guest who uses AI voice-to-text to bypass the slow process of typing, arguing that the friction between thought and output was once an essential part of the creative and…
In a philosophical critique of AI self-improvement loops, the author argues that recursive optimization—where AI designs better chips that run better AI—risks eliminating the unmeasured novelty that d…
A man in a viral clip warns that AI companies will make every person a shareholder receiving millions annually, but the author argues this dividend vision mistakes abundance for freedom. The piece con…
A technology podcast episode 269 circulating the phrase 'governance needs to become exponential' reflects a debate among four men about regulating artificial intelligence, alongside Sam Altman's repor…
Palantir CEO Alex Karp described AI's impact on the pharmaceutical industry as a 'fucking nuclear weapon,' arguing that AI will collapse incumbents' data advantages and democratize drug discovery. Cri…
Andreessen Horowitz released a video arguing that American AI development must outpace adversaries, claiming that whoever builds advanced AI first shapes the world's defaults. The piece critiques this…
Palantir CEO Alex Karp argues that the AI bubble is deflating, with value shifting from data-providing companies to dominant platforms that engineered dependency through loss-leading API pricing and c…
Andreessen Horowitz argues that open AI development is necessary for democratic societies to compete with authoritarian adversaries, framing it as an immune system response. The author critiques this …
Andreessen Horowitz released a document arguing that the United States must lead global AI development by establishing the infrastructure through which all nations access the technology, effectively o…
Andreessen Horowitz released a video arguing that American AI must lead through controlled openness, a strategy that parallels the FBI's surveillance of a man recorded without his knowledge. The piece…
The US government has inserted itself into the distribution chain of GPT-5.6, approving access customer by customer without published criteria, public denial lists, or appeals processes. This opaque g…
Two Harvard dropouts raised $800 million to build AI data centers that consume vast amounts of energy and water, with a single GPT-4 training run using 50 gigawatt-hours of electricity and large infer…