Hacker News with Generative AI: Language Models

Judges Shouldn't Rely on AI for the Ordinary Meaning of Text (lawfaremedia.org)
Judges are debating how large language models (LLMs) should fit into judicial work. One popular idea is to consult LLMs for the “ordinary meaning” of text, a key issue in statutory interpretation. At first glance, this may seem promising: These models, trained on massive amounts of human language, should reflect everyday usage.
Artificial Intelligence, Law, Language Models
6 points by hn_acker 16 hours ago | 0 comments
Understand anything, anywhere with the new NotebookLM app (google)
Listen to Audio Overviews on the go with the new iOS and Android apps.
Artificial Intelligence, Language Models, Mobile Apps, Learning
4 points by croes 3 days ago | 0 comments
Internet Search Is Not a Naive Information Retrieval Problem (gojiberries.io)
The research demonstrates something interesting about language models' ability to simulate search behavior in controlled conditions. But claiming equivalence to a "real search engine" is like saying you've built a military defense system because your soldiers performed well in peacetime maneuvers. The real test isn't whether it works when nobody's trying to break it—it's whether it works when half the internet is trying to game it for profit.
Search Engines, Language Models, Artificial Intelligence, Information Retrieval
14 points by deontology 6 days ago | 7 comments
Large Language Models Are More Persuasive Than Incentivized Human Persuaders (arxiv.org)
We directly compare the persuasion capabilities of a frontier large language model (LLM; Claude Sonnet 3.5) against incentivized human persuaders in an interactive, real-time conversational quiz setting.
Generative AI, Language Models, Persuasion, Human Behavior
4 points by randomdrake 7 days ago | 1 comments
Experimentation Matters: Why Nuenki isn't using pairwise evaluations (nuenki.app)
Nuenki's old language translation quality benchmark used a simple system where a suite of LLMs would score the outputs of other LLMs between 1 and 10.
Machine Learning, Language Models, Evaluation, Research
6 points by Alex-Programs 7 days ago | 0 comments
ChatGPT may be polite, but it's not cooperating with you (theguardian.com)
Big tech companies have exploited human language for AI gain. Now they want us to see their products as trustworthy collaborators
ChatGPT, Artificial Intelligence, Language Models, Ethics, Trust
23 points by nickcotter 9 days ago | 7 comments
ChatGPT may be polite, but it's not cooperating with you (theguardian.com)
Big tech companies have exploited human language for AI gain. Now they want us to see their products as trustworthy collaborators
Generative AI, Artificial Intelligence, Ethics, Language Models
24 points by c420 10 days ago | 1 comments
ChatGPT Blows Mapmaking 101 (garymarcus.substack.com)
People keep telling me ChatGPT is smart. Is it really?
ChatGPT, Artificial Intelligence, Language Models, Mapping
16 points by mdp2021 10 days ago | 16 comments
Block Diffusion: Interpolating Autoregressive and Diffusion Language Models (m-arriola.com)
Diffusion language models offer unique benefits over autoregressive models due to their potential for parallelized generation and controllability, yet they lag in likelihood modeling and are limited to fixed-length generation. In this work, we introduce a class of block diffusion language models that interpolate between discrete denoising diffusion and autoregressive models.
Language Models, Diffusion Models, Machine Learning
72 points by t55 15 days ago | 16 comments
Hypermode Model Router Preview – OpenRouter Alternative (hypermode.com)
Today, we’re excited to introduce Model Router, a powerful new feature in Hypermode that enables developers to connect to both open-source and commercial language models through a single, unified API.
Open Source, Language Models, APIs, Software, Alternatives
33 points by iamtherhino 15 days ago | 24 comments
A Brief History of Cursor's Tab-Completion (coplay.dev)
In building our own Unity tab-completion feature, I explored existing solutions and their fascinating history. This led me to the story of Cursor acquiring Babble, the best tab-completion model available today. Originating from Jacob Jackson's early code-completion tool TabNine, Babble revolutionized the space by using edit sequences for training—far superior to traditional Fill-in-the-Middle methods. With a groundbreaking 1M context window, Babble dramatically outperformed competitors in speed and scope.
Software, Programming, History, Tab Completion, Language Models
40 points by josvdwest 17 days ago | 4 comments
ChatGPT Hyphen Causing Issues? (rollingstone.com)
In the escalating arms race between AI models like ChatGPT and human beings trying to determine if what they’re reading was machine-generated, there is no easy or surefire way to spot the bot — or is there?
Generative AI, Artificial Intelligence, Language Models
5 points by ko3us 17 days ago | 2 comments
You sent the message, but did you write it? (davidduncan.substack.com)
Last week, I got a message from someone I’ve known for ten years. It was articulate, thoughtful…and definitely not written by him.
Artificial Intelligence, Language Models, Communication, Social Media
72 points by ano-ther 20 days ago | 71 comments
Russian disinformation network flooded training data to manipulate frontier LLMs (meduza.io)
A Russian disinformation network called Pravda (“Truth”) has influenced leading AI chatbots’ output by publishing numerous articles that made their way into the bots’ training data, a new report from the analysis group NewsGuard reveals.
Generative AI, Disinformation, Language Models, Russia
10 points by aussieguy1234 20 days ago | 0 comments
Making of Monkeys.zip (lukeschaefer.dev)
It’s been one month since the launch of monkeys.zip. In that time, we’ve gathered over 11,000 monkeys, which have written over 6 billion words - completing well over 75% of the words in Shakespeare’s works. In fact, they’ve recently finished writing every four-letter word!
Artificial Intelligence, Creative Projects, Language Models
15 points by yathern 22 days ago | 1 comments
When ChatGPT broke the field of NLP: An oral history (quantamagazine.org)
Asking scientists to identify a paradigm shift, especially in real time, can be tricky. After all, truly ground-shifting updates in knowledge may take decades to unfold. But you don’t necessarily have to invoke the P-word to acknowledge that one field in particular — natural language processing, or NLP — has changed. A lot.
AI, Generative AI, Language Models
278 points by mathgenius 22 days ago | 173 comments
Phi Silica, small but mighty on-device SL (windows.com)
This blog is the first installment in a new series of technical content designed to provide insights into the AI innovation on Windows. Today we will share how the Applied Sciences team used a multi-interdisciplinary approach to achieve a breakthrough in power efficiency, inference speed and memory efficiency for a state-of-the-art small language model (SLM), Phi Silica.
AI, Windows, Language Models, Computer Science
6 points by csdvrx 22 days ago | 0 comments
AI suggestions make writing more generic, Western (news.cornell.edu)
Artificial intelligence-based writing assistants are popping up everywhere – from phones to email apps to social media platforms.
Artificial Intelligence, Writing, Generative AI, Language Models, Cultural Bias
55 points by gnabgib 22 days ago | 71 comments
NotebookLM Audio Overviews are now available in over 50 languages (google)
Audio Overviews are now multilingual, and you can try it out today.
Generative AI, Language Models, Google, Audio, Multilingual
328 points by saikatsg 23 days ago | 96 comments
Do Large Language Models know who did what to whom? (arxiv.org)
Large Language Models (LLMs) are commonly criticized for not understanding language. However, many critiques focus on cognitive abilities that, in humans, are distinct from language processing. Here, we instead study a kind of understanding tightly linked to language: inferring who did what to whom (thematic roles) in a sentence.
Generative AI, Language Models, Linguistics
39 points by badmonster 26 days ago | 5 comments
Analysis of US congressional speeches reveals a shift from evidence to intuition (nature.com)
Pursuit of honest and truthful decision-making is crucial for governance and accountability in democracies.
Politics, Government, Language Models, Science
39 points by PaulHoule 29 days ago | 11 comments
Introducing Arcana: AI Voices with Vibes (rime.ai)
Rime's newest spoken language model is the most realistic you've ever heard.
Artificial Intelligence, Voice Technology, Language Models
15 points by narner 29 days ago | 2 comments
Values in the wild: Discovering values in real-world language model interactions (anthropic.com)
People don’t just ask AIs for the answers to equations, or for purely factual information. Many of the questions they ask force the AI to make value judgments.
Generative AI, Language Models, Artificial Intelligence, Ethics, Research
5 points by miles 31 days ago | 1 comments
Show HN: Dia, an open-weights TTS model for generating realistic dialogue (github.com/nari-labs)
Dia is a 1.6B parameter text to speech model created by Nari Labs.
Open Source, Text-to-Speech, AI, Language Models
652 points by toebee 32 days ago | 191 comments
New ChatGPT Models Seem to Leave Watermarks on Text (rumidocs.com)
The newer GPT-o3 and GPT-o4 mini models appear to be embedding special character watermarks in generated text.
Generative AI, Language Models, Security
19 points by hosein88 32 days ago | 28 comments
To Make Language Models Work Better, Researchers Sidestep Language (quantamagazine.org)
Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of words and grammar. Sometimes, the argument goes, having to turn ideas into language actually slows down the thought process.
Generative AI, Science, Language Models, Neuroscience
25 points by jxmorris12 33 days ago | 6 comments
ChatGPT now performs well at GeoGuesser (flausch.social)
ChatGPT, GeoGuesser, Language Models, AI, Games
171 points by dredmorbius 35 days ago | 148 comments
TeapotLLM- an open-source <1B model for hallucination-resistant Q&A on a CPU (huggingface.co)
Teapot is an open-source small language model (~800 million parameters) fine-tuned on synthetic data and optimized to run locally on resource-constrained devices such as smartphones and CPUs. Teapot is trained to only answer using context from documents, reducing hallucinations. Teapot can perform a variety of tasks, including hallucination-resistant Question Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction. Teapot is a model built by and for the community.
Open Source, Language Models, Question Answering, Generative AI, CPU
14 points by zakerytclarke 37 days ago | 2 comments
AI generated text is forbidden with the exception of automated translation (grapheneos.org)
Something went wrong while trying to load the full version of this site. Try hard-refreshing this page to fix the error.
Artificial Intelligence, Language Models, Regulations
6 points by defjm 38 days ago | 1 comments
Liquid: Language models are scalable and unified multi-modal generators (foundationvision.github.io)
We present Liquid, an auto-regressive generation paradigm that seamlessly integrates visual comprehension and generation by tokenizing images into discrete codes and learning these code embeddings alongside text tokens within a shared feature space for both vision and language.
Generative AI, Language Models, Artificial Intelligence, Computer Vision
82 points by pr337h4m 38 days ago | 8 comments