KI

Computers can learn which words go together more or less often and can thus mimic human performance on a test of implicit bias.

We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarity task, and the results are compared to the previously best performing techniques based on different types of neural networks. We observe large improvements in accuracy at much lower computational cost, i.e. it takes less than a day to learn high quality word vectors from a 1.6 billion words data set. Furthermore, we show that these vectors provide state-of-the-art performance on our test set for measuring syntactic and semantic word similarities.

DemoFusion: Democratising High-Resolution Image Generation With No 💰

Explore thousands of high-quality Stable Diffusion models, share your AI-generated art, and engage with a vibrant community of creators

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A 3D animated visualization of an LLM with a walkthrough.

Patreon: https://www.patreon.com/daveshap (Discord via Patreon) Substack: https://daveshap.substack.com/ (Free Mailing List) LinkedIn: https://www.linkedin.com/in/dave-shap-automator/ GitHub: https://github.com/daveshap

Language models only really need to use an exponential fraction of their neurons for individual inferences. As proof, we present FastBERT, a BERT variant that uses 0.3\% of its neurons during...

We propose a framework for classifying the capabilities and behavior of Artificial General Intelligence (AGI) models and their precursors. This framework introduces levels of AGI performance,...

In the last year, chatbots powered by large language models are everywhere and even … useful. But how do they work?

Typecast Global (https://typecast.ai) “AI Streamer” Project. 1. Chat with Camila! - Talk to her and she’ll respond to you! - EX. How are you doing? - EX. Camila, what is your favorite food? 2. Request your favorite song! - Add a ‘slash (/)’ before requesting a song - EX. /play Hype Boy by NewJeans - EX. /play the latest song by BTS 3. Change the background! - Choose one of the three backgrounds by entering the following commands: - /screen 0 - ... - /screen 9 BGM : https://www.youtube.com/@DoggieCorgi #AI #Vtuber #ChatGPT #Live #Youtuber #Typecast #Camila

Introducing the Unitree H1: Revolutionizing Robotics with Embodied AI Meet the Unitree H1, a groundbreaking general-purpose humanoid robot that pushes the boundaries of power and performance. Weighing approximately 47kg and boasting a maximum joint torque of 360N.m, the H1 stands as the pinnacle of robotic innovation. With its advanced embodied AI, this marvel of engineering exemplifies Unitree's commitment to shaping the future of robotics. Experience the next level of humanoid robotics with the Unitree H1.

chatgpt-builder.txt · GitHub

Large language models (LLMs) can utilize 'encoded reasoning,' a form of steganography, to subtly embed reasoning steps within their responses, enhancing performance but potentially reducing transparency and complicating AI monitoring.

A guide to LLM hacking: fundamentals, prompt injection, offense, and defense

A free AI art generator powered by stable diffusion, the latest advance in state of the art image generation.

Nature Communications - Designing efficient neuromorphic systems based on nanowire networks remains a challenge. Here, Zhu et al. demonstrate brain-inspired learning and memory of spatiotemporal...

Please support us https://www.patreon.com/mlst (and watch bonus post-interview with Friston) https://discord.gg/aNPkGUQtc5 https://twitter.com/MLStreetTalk THE HARD PROBLEM OF OBSERVERS This is the epic special edition show you have been waiting for! With two of the most brilliant scientists alive today. Atoms, things, agents, ... observers. What even defines an "observer" and which properties must all observers share? How do objects persist in our universe given that their material composition changes over time? What does it mean for a thing to be a thing? And do things supervene on our lower-level physical reality? What does it mean for a thing to have agency? What's the difference between a complex dynamical system with and without agency? Could a rock or an AI catflap have agency? Can the universe be factorised into distinct agents, or is agency diffused? Have you ever pondered about these deep questions about reality? Prof. Friston and Dr. Wolfram have spent their entire careers, some 40+ years each thinking long and hard about these very questions and have developed significant frameworks of reference on their respective journeys (the Wolfram Physics project and the Free Energy principle). Panel: MIT Ph.D Keith Duggar Production: Dr. Tim Scarfe Pod version: https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/THE-HARD-PROBLEM-OF-OBSERVERS---WOLFRAM--FRISTON-SPECIAL-EDITION-e2b7ib5 Refs: TED Talk with Stephen: https://www.ted.com/talks/stephen_wolfram_how_to_think_computationally_about_ai_the_universe_and_everything https://writings.stephenwolfram.com/2023/10/how-to-think-computationally-about-ai-the-universe-and-everything/ TOC 00:00:00 - Intro 00:10:45 - Show kickoff 00:13:23 - Wolfram gets to grips with FEP 00:37:53 - How much control does an agent/observer have 00:45:37 - Observer persistence, what universe seems like to us 00:51:16 - Black holes 00:55:52 - Inside vs outside 01:03:05 - Moving away from the predictable path 01:06:11 - What can observers do 01:17:35 - Self modelling gives agency 01:22:11 - How do you know a thing has agency? 01:33:33 - Deep link between dynamics, ruliad and AI 01:36:37 - Does agency entail free will? Defining Agency 01:43:42 - Where do I probe for agency? 01:49:58 - Why is the universe the way we see it? 01:53:35 - Alien intelligence 01:54:25 - The hard problem of Observers 01:57:05 - Summary thoughts from Wolfram 02:00:20 - Factorisability of FEP 02:07:50 - Patreon interview teaser

Documentary presented by Professor Simon Schaffer which charts the amazing and untold story of automata - extraordinary clockwork machines designed hundreds of years ago to mimic and recreate life. The film brings the past to life in vivid detail as we see how and why these masterpieces were built. Travelling around Europe, Simon uncovers the history of these machines and shows us some of the most spectacular examples, from an entire working automaton city to a small boy who can be programmed to write and even a device that can play chess. All the machines Simon visits show a level of technical sophistication and ambition that still amazes today. Discover the past on History Hit with ad-free exclusive podcasts and documentaries released weekly presented by world renowned historians Dan Snow, Suzannah Lipscomb, Matt Lewis and more. Get 50% off your first 3 months with code 'TIMELINE' 👉 https://access.historyhit.com/ You can find more from us on: https://www.facebook.com/timelineWH https://www.tiktok.com/@timelineworldhistory https://www.instagram.com/timelineWH This channel is part of the History Hit Network. Any queries, please contact owned-enquiries@littledotstudios.com

We demonstrate that if consciousness is relevant for the temporal evolution of a system's states -- that is, if it is dynamically relevant -- then AI systems cannot be conscious. That is because...

Auch wenn aktuelle Sprachmodelle bewusst wirken, sind sie es nicht

Deepfakes, also gefälschte Bilder und Videos, entstehen mit gegeneinander arbeitenden KIs. Neue Methoden – ebenfalls mit KI – entlarven die Fälschungen.

Canva is a free-to-use online graphic design tool. Use it to create social media posts, presentations, posters, videos, logos and more.

Remove background, cleanup pictures, upscaling, Stable diffusion and more…

A difference in company philosophy:@neuralink: put wires on brain.@CorticalLabs: grow brain on wires. Cortical Labs just completely changed my dreams and nightmares. Here it is in Hon Weng’s hotel room. He is showing this off tomorrow at a brain conference in San… pic.twitter.com/czs2NbxzYm— Robert Scoble (@Scobleizer) October 23, 2023

Mehr Sicherheit und mehr Wissen im Lawinennotfall soll ein neuer virtueller Trainingssimulator bringen. Das Land Tirol entwickelte gemeinsam mit einer Softwarefirma eine Virtual-Reality-Technologie. Dadurch sollen sich Wintersporttreibende besser auf eine Rettung aus einer Lawine vorbereiten können.

Sal Khan, the founder and CEO of Khan Academy, thinks artificial intelligence could spark the greatest positive transformation education has ever seen. He shares the opportunities he sees for students and educators to collaborate with AI tools -- including the potential of a personal AI tutor for every student and an AI teaching assistant for every teacher -- and demos some exciting new features for their educational chatbot, Khanmigo.

Around one in three respondents to Nature’s global postdoc survey are using AI chatbots to help to refine text, generate or edit code, wrangle the literature in their field and more.