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10 votes
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Diffusion for World Modeling - CS:GO and other games rendered in real time using neural networks
7 votes -
wordfreq will no longer be updated partly due to AI polluting the data
74 votes -
Get roasted based on your Github username and public contributions
20 votes -
Researchers describe how to tell if ChatGPT is confabulating
24 votes -
I will fucking piledrive you if you mention AI again
119 votes -
HeavyIQ: Understanding 220M Flights with AI
2 votes -
Slop is the new name for unwanted AI-generated content
52 votes -
From the makers of the Monocle, Brilliant Labs releases open source AR Glasses
26 votes -
The Assist - Thoughts on AI coding assistants
12 votes -
MDN’s AI Help and lucid lies
7 votes -
What useful tasks are possible with an LLM with only 3B parameters?
Playing with Llama 7B and 13B, I found that the 13B model was capable of doing a simple task, rewriting titles in sentence case for Tildes submissions. The 7B model doesn't appear capable of the...
Playing with Llama 7B and 13B, I found that the 13B model was capable of doing a simple task, rewriting titles in sentence case for Tildes submissions. The 7B model doesn't appear capable of the same task, out of the box.
I heard about Android's new AICore available on a couple of new devices. But it sounds like Gemini Nano, which runs on-device, can only handle 2B or 3B parameters.
Is this size of model useful for real tasks? Does it only become useful after training on a specific domain? I'm a novice and wanting to learn a little bit about it. On-device AI is an appealing concept to me.
12 votes -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
21 votes -
Nvidia CEO says kids shouldn't learn to code
23 votes -
The human element in AI-driven testing strategies
7 votes -
Google's Say What You See - Come up with a prompt to match an already generated image
12 votes -
On GitHub Copilot
23 votes -
Linus Torvalds on the state of Linux today and how AI figures in its future
26 votes -
Fooocus - The most user-friendly local image-gen interface to date
42 votes -
Doug Lenat's source code for AM and possibly EURISKO w/Traveller found in public archives
13 votes -
Beyond 'Killzone': Creating new AI systems for 'Horizon Zero Dawn'
4 votes -
Jina AI releases first open source 8k embedding model
8 votes -
Teaching LLMs to divide and conquer problems with hierarchical question decomposition
8 votes -
Sign up to get Cody for free
8 votes -
Language is a poor heuristic for intelligence
37 votes -
AI, Stable Diffusion, Models and Prompts
Howdy Tildes wizards. I decided to have a looksy at Stable Diffusion on my local computer (Manjaro, AMD 7500x CPU, 32GB) using Easy Diffusion. I've gotten my head around the basics and grabbed...
Howdy Tildes wizards.
I decided to have a looksy at Stable Diffusion on my local computer (Manjaro, AMD 7500x CPU, 32GB) using Easy Diffusion. I've gotten my head around the basics and grabbed MidJourney V4 LLM, and now I'm learning how to prompt.
So far I've generated some cool cyberpunk cyborg things, landscapes, etc. One of the things I wanted to use Stable Diffusion for is generating silhouettes. Sounds weird, I know, but they're great to use with decal and vinyl printing for my wife's business.
Any ideas on ways to do silhouette generation?
Next is, what's good to read to learn about model types and what all of the settings really do?
I'm ordering a GPU (3060) to improve the horrendous render times, so don't worry about the under powered rig, I'm still in toy mode.
13 votes -
Introducing TypeChat
19 votes -
Is LaMDA Sentient? - An Interview
5 votes -
We're building computers wrong
5 votes -
An open source AI assistant + social network of decision makers to help people make better decisions
2 votes -
GPT-3 tries pickup lines
7 votes -
Oceans of code programming challenge
8 votes -
On the Measure of Intelligence
6 votes -
DeepMind's StarCraft II AI "AlphaStar" has reached the top-level Grandmaster league using multi-agent reinforcement learning
13 votes -
TabNine: Code autocompletion with deep learning
12 votes -
Specification Gaming Examples in AI
10 votes -
Ludwig: Uber open sourced a config-based deep learning tool
4 votes -
An All-Neural On-Device Speech Recognizer
7 votes -
AlphaStar: Mastering the Real-Time Strategy Game StarCraft II
15 votes -
AlphaFold: Using AI for scientific discovery - Protein folding
13 votes