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OpenAI wants teachers to use ChatGPT for education

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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.

Using AI as a Medical Student? ChatGPT Changes Everything

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/

Content strategy: https://vm.tiktok.com/ZMFpNfQ5p/

College assignments in python: https://vm.tiktok.com/ZMFpNHk6Y/

Robots for elder care is growing in Germany due to a lack of health workers

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…

Google’s Gemini AI Outperforms GPT-4 by 5x, Sparking Conversations on AI Governance

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…

Imaging brain tissue architecture across millimeter to nanometer scales

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.

‘Brainless’ robot can navigate complex obstacles

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 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 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.

This Self-Destructing Robot Vanishes Into a Puddle of Goo

In an effort to create robots capable of controlling their own life-cycles, researchers have developed squishy little devices that can melt themselves into a puddle of goo.

“We have mimicked death in a life cycle where the robot could end itself,” Seoul National University engineer Min-Ha Oh told Peter Grad at Tech Xplore.

This ‘death’ is triggered by internal ultraviolet LEDs that destabilize the chemical composition of the robot. This process takes about an hour though, so it’s likely we have a few decades before we’ll see robots being employed as the kinds of vanishing spies proposed by the researchers.