Fifty years ago, the average business transaction was pretty straightforward. Shoppers handed purchases directly to cashiers, business partners shook hands in person, and people brought malfunctioning machines to a repair shop across the street. The proximity of all participating parties meant that both customers and businesses could verify authority and authenticity with their own eyes.
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It’s not only programming, journalism and content moderation that OpenAI is seeking to revolutionize with the use of its landmark large language models (LLMs) GPT-3, GPT-3.5 and GPT-4.
Today, the company published a new blog post titled “Teaching with AI” that outlines examples of six educators from various countries, mostly at the university level though one teaches high school, using ChatGPT in their classrooms.
An in-depth analysis of the US, Germany, and Australia shows how technology will disrupt labor markets by 2030—displacing millions of workers but creating new opportunities as well.
I really encourage everyone to try this thing out and find new ways to use it!
Examples of other people using ChatGPT I found cool:
Copy your lecture slides and ask it to make flash cards for you with the relevant information: https://vm.tiktok.com/ZMFpr4hjr/
Medical charting potentially: https://vm.tiktok.com/ZMFpr3H6f/
YouTube title + script: https://vm.tiktok.com/ZMFpNrhWu/
In a groundbreaking development, Google’s forthcoming generative AI model, Gemini, has been reported to outshine even the most advanced GPT-4 models on the market. The revelation comes courtesy of SemiAnalysis, a semiconductor research company, which anticipates that by the close of 2024, Gemini could exhibit a staggering 20-fold increase in potency compared to ChatGPT. Gemini…
In a groundbreaking development, Google’s forthcoming generative AI model, Gemini, has been reported to outshine even the most advanced GPT-4 models on the market. The revelation comes courtesy of SemiAnalysis, a semiconductor research company, which anticipates that by the close of 2024, Gemini could exhibit a staggering 20-fold increase in potency compared to ChatGPT. Gemini…
Another excellent paper from Johann G. Danzl’s research group. They develop methods that combine novel negative staining techniques, deep learning, and super-resolution STED microscopy or expansion microscopy to facilitate nanoscale-resolution imaging of brain tissue volumes. They also show semi-automated (and some fully automated) segmentation of neuron morphology and identification of synapses. Very cool work and I’m excited to see how it influences connectomics in the future! #brain #neuroscience #imaging #microscopy #neurotech
Mapping fixed brain samples with extracellular labeling and optical microscopy reveals synaptic connections.
Burton joins filmmakers like Wes Anderson in deriding technology that allows A.I. users to render new content using their distinct aesthetics.
If you’re a programmer seeking to develop cost-free code for your projects while saving time and effort, explore these AI tools that help you generate free code.
Researchers who created a soft robot that could navigate simple mazes without human or computer direction have now built on that work, creating a “brainless” soft robot that can navigate more complex and dynamic environments. The paper, “Physically Intelligent Autonomous Soft Robotic Maze Escaper,” was published Sept. 8 in the journal Science Advances.
“In our earlier work, we demonstrated that our soft robot was able to twist and turn its way through a very simple obstacle course,” says Jie Yin, co-corresponding author of a paper on the work and an associate professor of mechanical and aerospace engineering at North Carolina State University. “However, it was unable to turn unless it encountered an obstacle. In practical terms this meant that the robot could sometimes get stuck, bouncing back and forth between parallel obstacles.
We’ve developed a new soft robot that is capable of turning on its own, allowing it to make its way through twisty mazes, even negotiating its way around moving obstacles. And it’s all done using physical intelligence, rather than being guided by a computer.
