AI chronicles
the ongoing artificial intelligence story, its pros, cons, and challenges
AI chronicles
LLMs use a statistical model of language, they do not pull from a database. So the more common a piece of work is in the training data, the more likely the AI is to “recall” that data accurately when prompted. You can see this at work when I give it a sentence from the most fiction common book in its training data - Alice in Wonderland . It gets th
... See moreEthan Mollick • Thinking Like an AI
What happens to our trust in media when our capacity to generate it artificially improves to the point where we can produce indistinguishable fakes?
This creates a wave of "Skepticism," leading to what I term "False Positive Reality." In this state, our pervasive skepticism makes us doubt even the real labeling it as artificial, simulated, fake—real... See more
This creates a wave of "Skepticism," leading to what I term "False Positive Reality." In this state, our pervasive skepticism makes us doubt even the real labeling it as artificial, simulated, fake—real... See more
JUSTICE THELOT • Everything is default fake — 13101401 Inc.
Niantic’s journey from a government-backed startup to a leading augmented reality company is marked by significant milestones. Founded as Keyhole Inc. in 2001 by John Hanke, who previously held a position in foreign affairs within the U.S. government, the company initially focused on geospatial data visualization. Keyhole received early funding f... See more
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On Niantic's CIA origins
In an AI-ruled world, any human ability we neglect will start to shrivel up.
Shai Tubali • The Mechanized Mind: AI’s Hidden Impact on Human Thought
in many ways, we do not need super-powerful AIs for the transformation of work. We already have more capabilities inherent in today’s Gen2/GPT-4 class systems than we have fully absorbed. Even if AI development stopped today, we would have years of change ahead of us integrating these systems into our world.
Ethan Mollick • The Present Future: AI's Impact Long Before Superintelligence
What happens to our trust in media when our capacity to generate it artificially improves to the point where we can produce indistinguishable fakes?
JUSTICE THELOT • Everything is default fake — 13101401 Inc.
Niantic’s data collection scale through Pokémon Go is immense, leveraging the game’s massive player base to gather an unprecedented amount of geospatial information. The company has processed over 30 billion images from players worldwide, creating a vast dataset that forms the foundation of their Large Geospatial Model (LGM). This extensive collec... See more
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A coleta de dados de geo-localização feita pela Niantic, desenvolvedora do Pokémon Go, é, para mim, um exemplo de como somos o produto (neste caso, nossa localização em tempo real em um dado instante é o produto), e de como a privacidade de dados e dos seres humanos parece estar relegada a um segundo plano aqui.
the small community of people who do discuss radical AI futures often does so in an excessively “sci-fi” tone (featuring e.g. uploaded minds, space exploration, or general cyberpunk vibes). I think this causes people to take the claims less seriously, and to imbue them with a sort of unreality. To be clear, the issue isn’t whether the technologies
... See moredarioamodei.com • Dario Amodei — Machines of Loving Grace
To understand AI algorithms, Vallor argues we should not regard them as minds. “We’ve been trained over a century by science fiction and cultural visions of AI to expect that when it arrives, it’s going to be a machine mind,” she tells me. “But what we have is something quite different in nature, structure, and function.”
Rather, we should imagine A... See more
Rather, we should imagine A... See more