Archives: Bookmarks
New Yorkers Are Defacing This AI Startup’s Million-Dollar Ad Campaign
“I know people in New York hate AI, and things like AI companionship and wearables, probably more than anywhere else in the country,” he told Adweek. “So I bought more ads than anyone has ever done with a lot of white space so that they would socially comment on the topic.”
The AI water issue is fake – by Andy Masley
However, the water that was actually used onsite in data centers was only 50 million gallons per day, the rest was used to generate electricity offsite. Most electricity is generated by heating water to spin turbines, so when data centers use electricity, they also use water. Only 0.04% of America’s freshwater in 2023 was consumed inside data centers themselves. This is 3% of the water consumed by the American golf industry.
Deep Linking with Pre-made Prompts in Gemini – Google Docs
h/t Adam Garry
ggml-org/whisper.cpp: Port of OpenAI’s Whisper model in C/C++
High-performance inference of OpenAI’s Whisper automatic speech recognition (ASR) model:
The AI-collapse pre-mortem – Bert Hubert’s writings
No matter if AI is intelligent, even today’s primordial large language models perform absolute miracles. And they are also right now mostly quite useless, while still upsetting many an apple cart.
Anduril’s EagleEye Puts Mission Command and AI Directly into the Warfighter’s Helmet | Anduril
EagleEye is a consequential step toward realizing Anduril’s vision of turning every warrior into a connected node on the battlefield. It consolidates mission planning, perception, and control of unmanned assets into a lightweight system that reduces weight and cognitive load while improving protection.
ergs0204/LatexInNotebooklm: A tempermonkey for rendering latex in Notebooklm
A Tampermonkey userscript that adds LaTeX rendering capability to Google’s Notebooklm using KaTeX. This allows you to write mathematical formulas with standard LaTeX syntax using $formula$ delimiters.
Jacob Andreas @ MIT
I’m interested in language as a communicative and computational tool. People learn to understand and generate novel utterances from remarkably little data. Having learned language, we use it acquire new concepts and to structure our reasoning. Current machine learning techniques fall short of human abilities in both their capacity to learn language and learn from language about the rest of the world. My research aims to understand the computational foundations of language learning, and to build general-purpose intelligent systems that can communicate effectively with humans and learn from human guidance.
[2401.03910] A Philosophical Introduction to Language Models — Part I: Continuity With Classic Debates
Large language models like GPT-4 have achieved remarkable proficiency in a broad spectrum of language-based tasks, some of which are traditionally associated with hallmarks of human intelligence. This has prompted ongoing disagreements about the extent to which we can meaningfully ascribe any kind of linguistic or cognitive competence to language models. Such questions have deep philosophical roots, echoing longstanding debates about the status of artificial neural networks as cognitive models. This article — the first part of two companion papers — serves both as a primer on language models for philosophers, and as an opinionated survey of their significance in relation to classic debates in the philosophy cognitive science, artificial intelligence, and linguistics. We cover topics such as compositionality, language acquisition, semantic competence, grounding, world models, and the transmission of cultural knowledge. We argue that the success of language models challenges several long-held assumptions about artificial neural networks. However, we also highlight the need for further empirical investigation to better understand their internal mechanisms. This sets the stage for the companion paper (Part II), which turns to novel empirical methods for probing the inner workings of language models, and new philosophical questions prompted by their latest developments.