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https://phys.org/news/2022-10-ai-accurately-human-response-drug.htmlThe journey between identifying a potential therapeutic compound and Food and Drug Administration approval of a new drug can take well over a decade and cost upward of a billion dollars. A research team at the CUNY Graduate Center has created an artificial intelligence model that could significantly improve the accuracy and reduce the time and cost of the drug development process.Described in a newly published paper in Nature Machine Intelligence, the new model, called CODE-AE, can screen novel drug compounds to accurately predict efficacy in humans. In tests, it was also able to theoretically identify personalized drugs for over 9,000 patients that could better treat their conditions. Researchers expect the technique to significantly accelerate drug discovery and precision medicine.Accurate and robust prediction of patient-specific responses to a new chemical compound is critical to discover safe and effective therapeutics and select an existing drug for a specific patient. However, it is unethical and infeasible to do early efficacy testing of a drug in humans directly. Cell or tissue models are often used as a surrogate of the human body to evaluate the therapeutic effect of a drug molecule. Unfortunately, the drug effect in a disease model often does not correlate with the drug efficacy and toxicity in human patients. This knowledge gap is a major factor in the high costs and low productivity rates of drug discovery.
Surveillance cameras per 1,000 inhabitants:🇨🇳Beijing: 372.80🇮🇳Indore: 62.52🇮🇳Hyderabad: 41.80🇮🇳Delhi: 26.70🇮🇳Chennai: 24.53🇬🇧London: 13.35🇹🇭Bangkok: 7.15🇹🇷Istanbul: 6.97🇺🇸New York City: 6.87🇩🇪Berlin: 6.24🇫🇷Paris: 4.04🇨🇦Toronto: 3.05🇯🇵Tokyo: 1.06
Thinking Clearly & the Origins of Analytic PhilosophyStatements can be true, false, or nonsensical. Analytic philosophy was developed to figure out how to tell the difference, and the current tradition of analytic philosophy strives to make thinking as clear & precise as possible so it's not hard to do so.
Unless you have been living under a rock, you have heard of this new ChatGPT assistant made by OpenAI. You might be aware of its capabilities for solving IQ tests, tackling leetcode problems or to helping people write LateX. It is an amazing resource for people to retrieve all kinds of information and solve tedious tasks, like copy-writing!Today, Frederic Besse told me that he managed to do something different. Did you know, that you can run a whole virtual machine inside of ChatGPT?
I made a quick video on why knowledge workers need to be afraid and preparing for a post-GPT world. AI is advancing much faster than I had previously anticipated, at the current rate of advancement software engineers, lawyers, and doctors will be made obsolete within at most 5 years. You cannot possibly depend on your "knowledge worker" 6-figure salary if you want to live comfortably past 2027. My advice is you need to find a way to monetize either your body or your relatability. Leave a comment and let me know how you are preparing for post GPT world.
GPT-4 is the next large language model from OpenAI after GPT-3 and ChatGPT, and it’s expected to use 100 trillion parameters while accepting multi-modal inputs including audio, text, and video. Researchers have created a soft robotics device that can heal itself after being wounded and continue moving. New memristor deep learning system reduces power for AI training by 100 thousand times.AI News Timestamps:0:00 OpenAI GPT-4 Size1:18 GPT-4 AI Model Sparsity2:06 OpenAI Going For Multimodal3:15 OpenAI's Cost of Training4:32 New Self Healing Soft Robotics6:04 New Memristor Deep Learning System
Quote from: alancalverd on 16/12/2022 09:19:39We use continuous wave equations to describe propagation, and quantum mechanics to explain microscopic interactions with matter.What does quantum mechanics tell you about a single photon? Does it have a single frequency? Does it have a finite wave number?
We use continuous wave equations to describe propagation, and quantum mechanics to explain microscopic interactions with matter.
In this video, I'm going to show you how to use chatGPT to write a book from scratch. chatGPT is a chatbot that allows you to write a book from start to finish, with no prior writing experience required.I'll be taking you through the steps of using chatGPT to create a book from scratch in just 5mins. This is a simple and easy way to get started writing your own book, and I hope you find this video helpful!
The mindblowing technology process has been developed by Karppinen who explains that it’s part of a visual strategy for his client Savon Ammattiopisto.“I have been learning about the possibilities of AI in image production for over a year, and now my process is in such good shape that I can carry out such a demanding project with this new technology at a sufficient quality and level,” he says.The process begins like a normal photo job, Karppinen goes on location with his camera and shoots photos of the models. But then the photos take on a new, groundbreaking life.“This project started with taking pictures of models for educational material. This educational material is fed to the AI and a model is created of the person being photographed, which can then be used as part of the image production,” he explains.“In short, now you can put a photographed person in any location and clothing you want with AI assistance. We are creating a brand new AI model bank in a way.”
The rise of AGI will force us to find the universal terminal goal.
In short, now you can put a photographed person in any location and clothing you want with AI assistance.
Quote from: hamdani yusuf on 17/12/2022 05:41:46The rise of AGI will force us to find the universal terminal goal.It's called "The Off Switch".
Quote from: hamdani yusuf on 25/12/2022 00:14:52In short, now you can put a photographed person in any location and clothing you want with AI assistance. So what? Portrait artists have been doing that for thousands of years, and advertising graphic artists for hundreds. Now if you could put a real politician in real prison uniform, that would be useful.
Google's management has issued a "code red" amid the launch of ChatGPT — a buzzy conversational-artificial-intelligence chatbot created by OpenAI — as it's sparked concerns over the future of Google's search engine, The New York Times reported Wednesday.Sundar Pichai, the CEO of Google and its parent company, Alphabet, has participated in several meetings around Google's AI strategy and directed numerous groups in the company to refocus their efforts on addressing the threat that ChatGPT poses to its search-engine business, according to an internal memo and audio recording reviewed by The Times.In particular, teams in Google's research, trust, and safety division, among other departments, have been directed to switch gears to assist in the development and launch of AI prototypes and products, The Times reported. Some employees have been tasked with building AI products that generate art and graphics, similar to OpenAI's DALL-E, which is used by millions of people, according to The Times. A Google spokesperson did not immediately respond to a request for comment.
This has been a wild year for AI. If you’ve spent much time online, you’ve probably bumped into images generated by AI systems like DALL-E 2 or Stable Diffusion, or jokes, essays, or other text written by ChatGPT, the latest incarnation of OpenAI’s large language model GPT-3.Sometimes it’s obvious when a picture or a piece of text has been created by an AI. But increasingly, the output these models generate can easily fool us into thinking it was made by a human. And large language models in particular are confident bullshitters: they create text that sounds correct but in fact may be full of falsehoods. While that doesn’t matter if it’s just a bit of fun, it can have serious consequences if AI models are used to offer unfiltered health advice or provide other forms of important information. AI systems could also make it stupidly easy to produce reams of misinformation, abuse, and spam, distorting the information we consume and even our sense of reality. It could be particularly worrying around elections, for example. The proliferation of these easily accessible large language models raises an important question: How will we know whether what we read online is written by a human or a machine? I’ve just published a story looking into the tools we currently have to spot AI-generated text. Spoiler alert: Today’s detection tool kit is woefully inadequate against ChatGPT. But there is a more serious long-term implication. We may be witnessing, in real time, the birth of a snowball of bullshit.
So what? Portrait artists have been doing that for thousands of years, and advertising graphic artists for hundreds.
It requires us to determine who can access the off switch, and in what situation the off switch is accessible. The determination depends on the terminal goal of the system.
The proliferation of these easily accessible large language models raises an important question: How will we know whether what we read online is written by a human or a machine?