Hacker News with Generative AI: Language Models

AI can learn to think before it speaks (ft.com)
AI can learn to think before it speaks
AI-generated poetry is indistinguishable from human-written and more favorably (nature.com)
As AI-generated text continues to evolve, distinguishing it from human-authored content has become increasingly difficult.
Our brains are vector databases – here's why that's helpful when using AI (venturebeat.com)
In 2014, a breakthrough at Google transformed how machines understand language: The self-attention model. This innovation allowed AI to grasp context and meaning in human communication by treating words as mathematical vectors — precise numerical representations that capture relationships between ideas. Today, this vector-based approach has evolved into sophisticated vector databases, systems that mirror how our own brains process and retrieve information.
LLäMmlein 1B and 120M – German-only decoder models (uni-wuerzburg.de)
We created two German-only decoder models, LLäMmlein 120M and 1B, from scratch.
Image-Text Curation for 1B+ Data: Faster, Better, Smaller Clip Models (datologyai.com)
For you, human. You and only you. You are not special, you are not im (gemini.google.com)
Debate May Help AI Models Converge on Truth (quantamagazine.org)
In February 2023, Google’s artificial intelligence chatbot Bard claimed that the James Webb Space Telescope had captured the first image of a planet outside our solar system. It hadn’t. When researchers from Purdue University asked OpenAI’s ChatGPT more than 500 programming questions, more than half of the responses were inaccurate.
Gen AI doesn't have a coherent understanding of the world, researchers suggest (techxplore.com)
Despite its impressive output, generative AI doesn't have a coherent understanding of the world, researchers suggest
New OpenAI Feature: Predicted Outputs (simonwillison.net)
New OpenAI feature: Predicted Outputs (via) Interesting new ability of the OpenAI API - the first time I've seen this from any vendor.
Hermes 3 – Nous Research (nousresearch.com)
A NEW FRONTIER MODEL OF OPEN SOURCE AI
One in 20 new Wikipedia pages seem to be written with the help of AI (newscientist.com)
Nearly 5 per cent of new Wikipedia pages that are published in English seem to contain text generated by artificial intelligence, which could reduce the site’s reliability.
Universe would die before monkey with keyboard writes Shakespeare, study finds (theguardian.com)
Mathematicians have called into question the old adage that a monkey typing randomly at a keyboard for long enough would eventually produce the complete works of Shakespeare.
Getting Claude Computer Use agent to spin up another agent in its VM (twitter.com)
Notes on Anthropic's Computer Use Ability (composio.dev)
Anthropic has updated its Haiku and Sonnet lineup. Now, we have Haiku 3.5—a smaller model that outperforms Opus 3, the former state-of-the-art—and Sonnet 3.5, with enhanced coding abilities and a groundbreaking new feature called computer use. This is significant for everyone working in the field of AI agents.
Meta Spirit LM: Open multimodal language model that freely mixes text and speech (twitter.com)
Open-source, uncensored alternative to CharacterAI (opencharacter.org)
Heyyy :)
Synthetic Cot Reasoning Trace Generation from Knowledge Graphs (extrasensoryai.github.io)
We present a system for generating synthetic reasoning data using program synthesis, designed for the infusion of domain-specific reasoning from knowledge graphs into the training data for large language models.
Lm.rs: Minimal CPU LLM inference in Rust with no dependency (github.com/samuel-vitorino)
lm.rs: run inference on Language Models locally on the CPU with Rust
Trap – Transformers in APL (github.com/BobMcDear)
trap is an implementation of autoregressive transformers - namely, GPT2 - in APL. In addition to containing the complete definition of GPT, it also supports backpropagation and training with Adam, achieving parity with the PyTorch reference code.
Hello, Perceptron (2023) (might.net)
Generative AI tools like ChatGPT and Midjournery are able to replicate (and often exceed) human-like performance on tasks like taking exams, generating text and making art.
The more sophisticated AI models get, the more likely they are to lie (arstechnica.com)
The more sophisticated AI models get, the more likely they are to lie.
Show HN: TabGPT - Ask Gemini, ChatGPT, Claude at the Same Time in Chrome (franz101.substack.com)
Have you ever found yourself toggling between different language models, trying to figure out which one gives the best answers to your complex questions? Trust me, I've been there.
Show HN: PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o (github.com/yigitkonur)
Swift OCR: LLM Powered Fast OCR ⚡
Technical writing is too important to leave to language models (counting-stuff.com)
There are no shortcuts to writing something worth reading
OpenAI's new "o1" model may have an IQ as high as 120 (maximumtruth.org)
Chatbots can persuade people to stop believing in conspiracy theories (technologyreview.com)
Now, researchers believe they’ve uncovered a new tool for combating false conspiracy theories: AI chatbots.
OpenAI O1 Results on ARC Prize (twitter.com)
The True Nature of LLMs (ghost.io)
Are LLM stochastic parrots or is there something deeper in there? In this new post, we dive into the nature of Large Language Models and what it means for use cases beyond conversation and generative text.
Mistral releases Pixtral 12B, its first multimodal model (techcrunch.com)
French AI startup Mistral has released its first model that can process images as well as text.
Two Dots Too Many (2008) (ldc.upenn.edu)